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Minerals, Volume 9, Issue 5 (May 2019) – 73 articles

Cover Story (view full-size image): The COGITO-MIN project shows that sparse seismic source reflection surveys can be effectively used to map geology down to several kilometers depth. Increasing the number of source points will improve the resolution but only 3–5 source points per line-kilometer of the main subsurface characteristics can be resolved. The COGITO-MIN results were achieved in the Kylylahti polymetallic mine environment in Eastern Finland. View this paper
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23 pages, 13657 KiB  
Article
Micrometric Inclusions in Platinum-Group Minerals from Gornaya Shoria, Southern Siberia, Russia: Problems and Genetic Significance
by Gleb V. Nesterenko, Sergey M. Zhmodik, Dmitriy K. Belyanin, Evgeniya V. Airiyants and Nikolay S. Karmanov
Minerals 2019, 9(5), 327; https://doi.org/10.3390/min9050327 - 27 May 2019
Cited by 4 | Viewed by 5245
Abstract
Micrometric inclusions in platinum-group minerals (PGMs) from alluvial placers carry considerable information about types of primary rocks and ores, as well as conditions of their formation and alteration. In the present contribution, we attempt to show, with concrete examples, the significance of the [...] Read more.
Micrometric inclusions in platinum-group minerals (PGMs) from alluvial placers carry considerable information about types of primary rocks and ores, as well as conditions of their formation and alteration. In the present contribution, we attempt to show, with concrete examples, the significance of the data on the composition and morphology of micrometric inclusions to genetic interpretations. The PGM grains from alluvial placers of the Gornaya Shoria region (Siberia, Russia) were used as the subject of our investigation. In order to determine the chemical composition of such ultrafine inclusions, high-resolution analytical methods are needed. We compare the results acquired by wavelength-dispersive spectrometry (WDS; electron microprobe) and energy-dispersive spectrometry (EDS) and scanning electron microscopy (SEM) methods. The results obtained have good convergence. The EDS method is multi-elemental and more effective for mineral diagnostics in comparison with WDS, which is its certain advantage. The possible conditions for the formation of inclusions and layers of gold, sulfoarsenides and arsenides in Pt3Fe grains, which have an original sub-graphic and layered texture pattern, are discussed. They are the result of solid solution and eutectic decompositions and are associated with the magmatic stages of grain transformation, including the result of the interaction of Pt3Fe with a sulfide melt enriched with Te and As. Full article
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<p>(<b>a</b>) Location of the study area; (<b>b</b>) the Kuznetsk Alatau–Gornaya Ghoria–Altai platinum-bearing belt is indicated by black color in the inset (modified from [<a href="#B20-minerals-09-00327" class="html-bibr">20</a>]): 1, Kaigadat massif; 2, Srednyaya Ters’ massif; 3, Seglebir massif and placers of Gornaya Shoria; (<b>c</b>) geological map showing the location of PGM and gold placers in the western Altai-Sayan folded area (Gornaya Shoria); (<b>d</b>,<b>e</b>) geological maps of catchment areas r. Kaurchak (<b>d</b>) and r. Koura (<b>e</b>).</p>
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<p>Back-scattered electron (BSE) image showing multiphase Grain No. 1 (<b>a</b>) A placer grain of Pt<sub>3</sub>(Fe,Cu) consists of a rim of Cu-enriched alloy phase (hongshiite PtCu) with inclusions of rhodarsenide (Rh,Pd)<sub>2</sub>As. (<b>b</b>,<b>c</b>) The exsolution micro-lamellae of rutheniridosmine (the decomposition of a solid solution) in isoferroplatinum and platarsite (PtAsS). The composition of measurement points is listed in <a href="#minerals-09-00327-t004" class="html-table">Table 4</a>. White—isoferroplatinum (Pt,Fe) and osmium (Os); light gray and gray—platarsite (PtAsS), cooperite (PtS), and sperrylite (PtAs); rectangular contours—the position of the microsites “b” and “c”. Explanation in the text.</p>
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<p>BSE image showing multiphase Grain No. 2. (<b>a</b>) A placer grain of Pt<sub>3</sub>(Fe,Cu) consists of a rim of Cu-enriched alloy phase (hongshiite PtCu) with inclusions of rhodarsenide (Rh,Pd)<sub>2</sub>As. (<b>b</b>,<b>c</b>) The exsolution micro-lamellae of rutheniridosmine (the decomposition of a solid solution) in isoferroplatinum and platarsite (PtAsS). For the composition of measurement points see <a href="#minerals-09-00327-t005" class="html-table">Table 5</a>. White—isoferroplatinum (Pt<sub>3</sub>Fe) and osmium (Os); light gray and gray—platarsite (PtAsS), cooperite (PtS), and sperrylite (PtAs); rectangular contours—the position of the microsites “b” and “c”.</p>
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<p>Grain No. 3 was derived from the placer of Kaurchak River (dredge 138). (<b>a</b>) Reflected light micrograph of grain No. 3 of the Pt-Fe alloy with alteration sperrylite composition rim (gray) and inclusions and overgrowths of native gold (reddish). (<b>b–f</b>) BSE images showing the structure and morphology of the local areas. Light gray background—matrix Pt<sub>4</sub>Fe; gray and dark gray rim—sperrylite and platarsite; white inclusions and overgrowths—native gold; the compositions of the Pt-Fe alloy and inclusions at these points are given in <a href="#minerals-09-00327-t007" class="html-table">Table 7</a> and <a href="#minerals-09-00327-t008" class="html-table">Table 8</a>.</p>
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<p>Backscattered-electron image (BSE) (<b>a</b>) and element distribution maps (<b>b</b>—polyelement; <b>c</b>—Pt; <b>d</b>—Fe; <b>e</b>—Ru; <b>f</b>— Au; <b>g</b>—S; <b>h</b>—As) in the grain No. 3 (see <a href="#minerals-09-00327-f004" class="html-fig">Figure 4</a>) platinum nugget.</p>
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<p>The areas of detail 4d of grain No. 3. Distribution patterns obtained in the mapping mode: Au, Ag, Rh, Ru, As, S, Pt.</p>
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<p>Backscattered-electron (BSE) image (top) and the graphs of changes of the main elements content (at.%) in the Core, Rim-I, Rim-II, with micro-layers in grain No. 3 (see also <a href="#minerals-09-00327-f004" class="html-fig">Figure 4</a>e).</p>
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17 pages, 4701 KiB  
Article
Trace Element Geochemistry in Quartz in the Jinqingding Gold Deposit, Jiaodong Peninsula, China: Implications for the Gold Precipitation Mechanism
by Binghan Chen, Jun Deng, Hantao Wei and Xingzhong Ji
Minerals 2019, 9(5), 326; https://doi.org/10.3390/min9050326 - 27 May 2019
Cited by 12 | Viewed by 5227
Abstract
Lots of studies on gold precipitation mechanisms have focused on fluid inclusions within quartz. However, the trace elements in quartz reflect the properties of the ore fluid, and a comparison of the trace element content in different types of quartz can reveal the [...] Read more.
Lots of studies on gold precipitation mechanisms have focused on fluid inclusions within quartz. However, the trace elements in quartz reflect the properties of the ore fluid, and a comparison of the trace element content in different types of quartz can reveal the precipitation mechanism. The Jinqingding gold deposit is the largest gold deposit in the Muping–Rushan gold belt and contains the largest single sulfide–quartz vein type orebody in the gold belt. This study distinguished four types of quartz in this orebody through field work and investigations of the mineralogy and cathodoluminescence (CL) of the quartz and crosscutting relationships as seen under a microscope. In situ studies via electron probe micro-analyzer (EPMA) and laser ablation-inductively coupled plasma-mass spectrometry (LA-ICP-MS) were used to determine the trace element content of the different quartz types. Type Qa displayed a comb structure in the field and zoning under the microscope and in CL. Milky white and smoke grey Qb was the most common quartz type and hosted the most sulfide and gold. Qc was Qa and Qb quartz that recrystallized around pyrite or overgrew and appeared different from Qa and Qb in CL images. Qd occurred within fractures in pyrite. Qa formed prior to the mineralization of gold, and Qd formed post-mineralization. Qb and Qc provided information regarding the ore fluid during mineralization. Sericites occurred with pyrite in fractures in the quartz, and some, along with free gold, filled in fractures in pyrite. Free gold occurred within Qa, Qb, Qc, and in brittle fractures in pyrite. Qc had the lowest Al content of all of the quartz types. As Al content is related to the acidity of the ore fluid in previous study, this indicated an acidity decrease during mineralization, which could be attributed to the sericitization. Sericitization could indicate a potential gold occurrence. The Ti content decreased from Qb to Qc, indicating a decrease in temperature during quartz overgrowth formation. Change in acidity and cooling can therefore be identified as possible causes of gold precipitation in the sulfide–quartz vein type in the Jinqingding gold deposit. Full article
(This article belongs to the Special Issue Polymetallic Metallogenic System)
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<p>Regional geological map: (<b>a</b>) Geological map of the Eastern Jiaodong Peninsula; (<b>b</b>) geological map of the Muping–Rushan gold belt (modified from [<a href="#B15-minerals-09-00326" class="html-bibr">15</a>]; ages are from [<a href="#B20-minerals-09-00326" class="html-bibr">20</a>,<a href="#B21-minerals-09-00326" class="html-bibr">21</a>]). HQF—Haiyang–Qingdao fault; HSF—Haiyang–Shidao fault; MRF—Muping–Rushan fault; TCF—Taocun fault; WQYF—Wulian–Qingdao–Yantai fault; WHF—Weihai fault; RCF—Rongcheng fault.</p>
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<p>Geological maps of the Jinqingding gold deposit: (<b>a</b>) plan view; (<b>b</b>) section (modified from [<a href="#B20-minerals-09-00326" class="html-bibr">20</a>]).</p>
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<p>Alteration and mineralization types in the Jinqingding gold deposit: (<b>a</b>) A quartz–sulfide vein with unaltered wallrock; (<b>b</b>) K-feldspar alteration in the wallrock; (<b>c</b>) sericitization in the wallrock of a quartz–sulfide vein; (<b>d</b>) milky and smoke grey quartz (Qb + Qc + Qd) plus massive, disseminated pyrites in a hand sample of quartz–sulfide vein; (<b>e</b>) smoke grey quartz (Qb + Qc + Qd) in a hand sample of quartz–sulfide vein in which pyrites occur as veins (Py); (<b>f</b>) The earliest quartz (Qa) has a comb structure. Py—pyrite; Q—quartz.</p>
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<p>Features of different types of quartz: (<b>a</b>) Qa is zoned and is crosscut by pyrite; (<b>b</b>) cathodoluminescence (CL) shows zoning in Qa and gold grains within it; (<b>c</b>) gold occurs in Qb; (<b>d</b>) quartz outside and inside the pyrite goes extinct at the same angle; (<b>e</b>) quartz inside and outside pyrite has similar CL features; (<b>f</b>) recrystallized (Qc) quartz contains free gold and has darker CL features than other quartz types; (<b>g</b>) recrystallized quartz around a crosscutting pyrite vein; (<b>h</b>) quartz (Qd) in fractures in pyrite shows different CL features from Qb. Py—Pyrite; Q—Quartz; Au—Gold; Gn—Galena. See <a href="#sec4-minerals-09-00326" class="html-sec">Section 4</a> for description of red circles.</p>
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<p>Sericite occurrence in the Jinqingding gold deposit: (<b>a</b>) Feldspar altered to sericite; (<b>b</b>) a QEMSCAN mineral map showing sericite coexisting with gold in pyrite fractures; (<b>c</b>) a QEMSCAN map showing the coexistence of sericite and pyrite in Qb. White color part is the glue on the thin section.</p>
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<p>Paragenesis of quartz and other minerals. The thickness of the line indicates scale and intensity of mineral occurrence.</p>
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<p>EPMA-derived Al content in different types of quartz.</p>
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<p>Trace element content in quartz as obtained via LA-ICP-MS. (<b>a</b>) CL shows differences between quartz cores and rims; (<b>b</b>) Al content in the quartz; (<b>c</b>) Ti content in the quartz; (<b>d</b>) estimated formation temperature of quartz under lithostatic and hydrostatic pressure.</p>
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16 pages, 2706 KiB  
Article
LKZ-1: A New Zircon Working Standard for the In Situ Determination of U–Pb Age, O–Hf Isotopes, and Trace Element Composition
by Albert Chang-sik Cheong, Youn-Joong Jeong, Shinae Lee, Keewook Yi, Hui Je Jo, Ho-Sun Lee, Changkun Park, Nak Kyu Kim, Xian-Hua Li and Sandra L. Kamo
Minerals 2019, 9(5), 325; https://doi.org/10.3390/min9050325 - 27 May 2019
Cited by 18 | Viewed by 5319
Abstract
This study introduces a new zircon reference material, LKZ-1, for the in situ U–Pb dating and O–Hf isotopic and trace element analyses. The secondary ion mass spectrometric analyses for this gem-quality single-crystal zircon yielded a weighted mean 206Pb/238U age of [...] Read more.
This study introduces a new zircon reference material, LKZ-1, for the in situ U–Pb dating and O–Hf isotopic and trace element analyses. The secondary ion mass spectrometric analyses for this gem-quality single-crystal zircon yielded a weighted mean 206Pb/238U age of 572.6 ± 2.0 Ma (2σ, n = 22, MSWD = 0.90), with moderately high U concentrations (619 ± 21 ppm, 1 SD), restricted Th/U ratios (0.146 ± 0.002, 1 SD), and negligible common Pb content (206Pbc < 0.2%). A comparable 206Pb/238U age (570.0 ± 2.5 Ma, 2σ) was produced by the isotope dilution-thermal ionization mass spectrometry. The secondary ion mass spectrometric and laser ablation-assisted multiple collector inductively coupled plasma mass spectrometer analyses respectively showed that LKZ-1 had little variation in O (δ18OV-SMOW = 10.65 ± 0.14‰; laser fluorination value = 10.72 ± 0.02‰; 1 SD) and Hf (176Hf/177Hf = 0.281794 ± 0.000016, 1 SD) isotopic compositions. LKZ-1 was also fairly homogeneous in its chemical composition (RSD of laser ablation ICPMS data ≤ 10%), displaying a relatively uniform chondrite-normalized rare earth element pattern ((Lu/Gd)N = 31 ± 3, Eu/Eu* = 0.43 ± 0.17, Ce/Ce* = 44 ± 32; 1 SD). These consistencies suggest that the LKZ-1 zircon is a suitable working standard for geochronological and geochemical analyses. Full article
(This article belongs to the Section Mineral Geochemistry and Geochronology)
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<p>A photograph of the LKZ-1 zircon (inset) and representative backscattered electron (upper) and cathodoluminescence (lower) images. The grain and spot numbers are the same as in Table 2.</p>
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<p><sup>206</sup>Pb/<sup>238</sup>U-<sup>207</sup>Pb/<sup>235</sup>U concordia diagram showing the SHRIMP results for the LKZ-1 zircon with ±1σ error ellipses. The plotted data are uncorrected for common Pb.</p>
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<p><sup>206</sup>Pb/<sup>238</sup>U–<sup>207</sup>Pb/<sup>235</sup>U concordia diagram showing LA-MC-ICPMS results for the LKZ-1 zircon with ±2σ error ellipses.</p>
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<p>Concordia diagram showing U–Pb data obtained by ID-TIMS analysis of LKZ-1 zircon with ±2σ error ellipses. The concordia curve is depicted as a band, which incorporates the uncertainty of the U decay constants.</p>
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<p>O isotopic variation in the LKZ-1 zircon based on HR-SIMS analyses. Vertical error bars denote 2 standard errors. Solid and dashed lines represent the average (10.65‰) and standard deviation (±0.14‰), respectively.</p>
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<p>Hafnium isotopic variation in the LKZ-1 zircon. Vertical error bars denote 2 standard errors. Solid and dashed lines represent the average (0.281794) and standard deviation (±0.000016), respectively.</p>
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<p>Chondrite-normalized REE patterns of 91500 (<b>a</b>) and LKZ-1 (<b>b</b>) zircons. Chondrite values were taken from McDonough and Sun (1995) [<a href="#B52-minerals-09-00325" class="html-bibr">52</a>]. Vertical error bars denote 1 standard deviation of our data, or uncertainties reported in previous works. (<b>c</b>–<b>f</b>) U vs. Th and Yb vs. Y variations for 91500 and LKZ-1 zircons.</p>
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14 pages, 4153 KiB  
Article
Investigations of MgO on Sintering Performance and Metallurgical Property of High-Chromium Vanadium-Titanium Magnetite
by Liheng Zhang, Songtao Yang, Weidong Tang and Xiangxin Xue
Minerals 2019, 9(5), 324; https://doi.org/10.3390/min9050324 - 27 May 2019
Cited by 15 | Viewed by 3299
Abstract
High-chromium vanadium-titanium magnetite (HCVTM) in the Hongge region has been used as an essential mineral resource in ironmaking. The effects of MgO on sintering performance and metallurgical properties were investigated by sintering pot tests, X-ray diffraction (XRD), and scanning electron microscopy-energy dispersive spectroscopy [...] Read more.
High-chromium vanadium-titanium magnetite (HCVTM) in the Hongge region has been used as an essential mineral resource in ironmaking. The effects of MgO on sintering performance and metallurgical properties were investigated by sintering pot tests, X-ray diffraction (XRD), and scanning electron microscopy-energy dispersive spectroscopy (SEM-EDS). HCVTM sinters with varying MgO contents (2.7–3.5%), which was achieved by adding dolomite, were tested for yield, strength, reduction degradation index (RDI), reduction index (RI), and softening-melting properties. The productivity and the comprehensive index were evaluated. The results show that yield and productivity increased, while the vertical sintering speed and the tumbler index (TI) initially increased then decreased with the increase of MgO content. The mineral structure of HCVTM sinter changed from a non-uniform state to a uniform state with increased MgO content. Most of the Mg2+ entered the magnetite lattice, while a small amount entered the perovskite and the calcium silicate. The increase of MgO content improved RDI and softening-melting properties while reducing RI. The best recommended amount of MgO was 3.3% from the comprehensive index. Full article
(This article belongs to the Special Issue Mineralogy of Iron Ore Sinters)
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<p>Micrographs of typical HCVTM particles.</p>
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<p>XRD pattern of the HCVTM.</p>
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<p>Sinter properties of HTCVM sinters with different MgO contents.</p>
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<p>XRD pattern of HCVTM with different mass-% MgO.</p>
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<p>Microstructure of HCVTM sinter with different MgO content. M: magnetite; H: hematite; P: perovskite; CF: calcium ferrite; S: silicate. (<b>a</b>) MgO = 2.7%; (<b>b</b>) MgO = 2.9%; (<b>c</b>) MgO = 3.1%; (<b>d</b>) MgO = 3.3%; (<b>e</b>) MgO = 3.5%.</p>
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<p>SEM image and energy dispersive spectroscopy (EDS) mapping of the HCVTM sinter.</p>
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<p>Reduction degradation index (RDI) and reduction index (RI) of the HTCVM sinters with different MgO contents.</p>
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<p>Microstructure after low temperature reduction (<b>a</b>) 2.7% MgO; (<b>b</b>) 2.9% MgO.</p>
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<p>The softening-melting properties of the HCVTM sinter with different MgO contents (<b>a</b>) softening property; (<b>b</b>) melting property.</p>
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<p>The gas permeability of the HCVTM sinter with different MgO contents.</p>
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<p>Effect of MgO content on comprehensive index of HCVTM.</p>
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17 pages, 5930 KiB  
Article
Perovskites of the Tazheran Massif (Baikal, Russia)
by Eugene V. Sklyarov, Nikolai S. Karmanov, Andrey V. Lavrenchuk and Anastasia E. Starikova
Minerals 2019, 9(5), 323; https://doi.org/10.3390/min9050323 - 27 May 2019
Cited by 6 | Viewed by 3414
Abstract
The paper provides details of local geology and mineralogy of the Tazheran Massif, which was the sampling site of perovskite used as an external standard in perovskite U-Pb dating by sensitive high-resolution ion microprobe (SHRIMP) and laser ablation inductively-coupled plasma (LA–ICP–MS) mass spectrometry. [...] Read more.
The paper provides details of local geology and mineralogy of the Tazheran Massif, which was the sampling site of perovskite used as an external standard in perovskite U-Pb dating by sensitive high-resolution ion microprobe (SHRIMP) and laser ablation inductively-coupled plasma (LA–ICP–MS) mass spectrometry. The Tazheran Massif is a complex of igneous (mafic dikes, syenite, nepheline syenite), metamorphic (marble), and metasomatic (skarn, calc–silicate veins) rocks. Metasomatites are thin and restricted to the complex interior being absent from the margins. Perovskite has been studied at four sites of metasomatic rocks of three different types: forsterite–spinel calc–silicate veins in brucite marble (1); skarn at contacts between nepheline syenite and brucite marble (2), and skarn-related forsterite–spinel (Fo-Spl) calc–silicate veins (3). Pervoskite from Fo-Spl calc–silicate veins (type 1) is almost free from impurities (<1 wt.% in total: 0.06%–0.4% REE2O3, 0.10%–0.22% Nb2O5, ≤0.1% ThO2). The U contents are from 0.1 to 1.9 wt.% UO2 and are relatively uniform in perovskites from the same vein but differ from vein to vein of this type. Perovskite from the contact skarn (type 2) contains 1.5 to 4.5 wt.% REE2O3 but is poor in other impurities. Perovskite grains from skarn-related Fo-Spl calc–silicate rocks (type 3) belong to two generations that differ in REE, Nb, Th, Fe, and Na concentrations. Early-generation perovskites occurs as compositionally homogeneous octahedral or cubic-octahedral crystals with contents of impurities higher than in other varieties (3.6 wt.% REE2O3, 1.6 wt.% Fe2O3, 1.3 wt.% Nb2O5, 0.7 wt.% ThO2, 0.6 wt.% UO2, and 0.6 wt.% Na2O) but the lowest is at the respective site. Late-generation varieties show highly variable impurity concentrations of 1.5 to 22.7 wt.% REE2O3, 0.4 to 8.4 wt.% Nb2O5, and 0.8 to 4.5% ThO2, while the perovskite component may be as low as 65%. In addition to the lueshite and loparite, components, they contain REEFeO3 and Th0.5TiO3 endmembers which have no natural analogs. Full article
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<p>Simplified tectonics of Central Asia (<b>a</b>) and terranes in the Early Palaeozoic Baikal collisional belt of northern CAOB (<b>b</b>), modified after [<a href="#B16-minerals-09-00323" class="html-bibr">16</a>].</p>
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<p>Simplified tectonics of the Olkhon terrane, modified after [<a href="#B16-minerals-09-00323" class="html-bibr">16</a>]: Tazheran Massif is shown as a black circle.</p>
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<p>Geological sketch map of the Tazheran Massif, modified after [<a href="#B24-minerals-09-00323" class="html-bibr">24</a>]: 1–2 = country rocks: Amphibolite, silicate–carbonate gneiss (1); metamorphosed gabbro, monzogabbro, monzonite, syenite, 500 Ma (2); Tazheran Massif, 460–470 Ma (3–7): beerbachite after tholeiitic dolerite and gabbro (3), subalkaline gabbro and microgabbro (4), nepheline syenite (5), foliated (6) and massive (7) syenites; 8–10 = zones of metasomatic rocks of calcic (8), alkaline (9), and magnesian (10) types; 11 = synmetamorphic ductile detachment; 12 = geological boundaries.</p>
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<p>Detailed map of site 3, modified after [<a href="#B19-minerals-09-00323" class="html-bibr">19</a>]: 1 = amphibolite after microgabbro; 2 = nepheline syenite; 3 = brucite marble; 4 = ductile faults; 5 = contacts; 6 = calc–silicate veins and contact skarn.</p>
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<p>Photographs of perovskite-bearing metasomatic rocks: (<b>A</b>,<b>B</b>) Banded skarn (Z) at contacts of a thin vein of Ne–syenite (Ne); (<b>C</b>) calc–silicate veins (Cal) in Ne–syenite, with Fo-Spl-Cpx-Phl skarns (Sc) at the syenite-brucite marble (Br) contact; (<b>D</b>) Fo-Spl calc–silicate vein (Cal) with an offshoot in brucite marble (Br); (<b>E</b>,<b>F</b>) dismembered fragments of Fo-Spl calc–silicate vein (Cal) in brucite marble (Br).</p>
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<p>Detailed geologic map of site 4, modified after [<a href="#B24-minerals-09-00323" class="html-bibr">24</a>].</p>
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<p>The Tazheran perovskites in major-oxide variation diagrams: Sites: 1 (green triangles), 2 (red squares), 3 (yellow circles), 4 (rhombs, dark blue for early generation and pale blue for late generation).</p>
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<p>Compositional fields (mol%) in the ternary systems that include the recommended [<a href="#B31-minerals-09-00323" class="html-bibr">31</a>] lueshite–perovskite–loparite end-members (<b>A</b>) and all end-members (<b>B</b>): Symbols as in <a href="#minerals-09-00323-f007" class="html-fig">Figure 7</a>.</p>
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<p>BSE images of perovskite from Fo-Spl calc–silicate rocks coexisting with skarns (site 4): (<b>A</b>) Compositionally homogeneous octahedral perovskite crystal with calcite inclusions; (<b>B</b>) irregularly shaped perovskite grain coated with epitaxially intergrown magnetite and Mg ilmenite; (<b>C</b>) a fragment of panel (B), with two generations of perovskite; (<b>D</b>) enlarged fragment of magnetite(bright)–ilmenite(dark) coat around a perovskite grain; (<b>E</b>) several perovskite grains in a magnetite–ilmenite coat with small inclusions of uraninite–torianite, nöggerathite–(Ce), and Ti-U-Th-Zr-Nb phases; (<b>F</b>) irregularly shaped and compositionally inhomogeneous perovskite grain in a magnetite–Mg–ilmenite coat. Abbreviations: zirkelite (Zrk), pyrochlore (Pcl), Ti-U-Th-Zr-Nb phases (U-Th), other minerals after [<a href="#B20-minerals-09-00323" class="html-bibr">20</a>].</p>
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14 pages, 3668 KiB  
Article
Elemental Compositions of Smectites Reveal Detailed Sediment Provenance Changes during Glacial and Interglacial Periods: The Southern Drake Passage and Bellingshausen Sea, Antarctica
by Young Kyu Park, Jae Il Lee, Jaewoo Jung, Claus-Dieter Hillenbrand, Kyu-Cheul Yoo and Jinwook Kim
Minerals 2019, 9(5), 322; https://doi.org/10.3390/min9050322 - 26 May 2019
Cited by 11 | Viewed by 5515
Abstract
Variations in clay mineral assemblages have been widely used to understand changes in sediment provenance during glacial and interglacial periods. Smectite clay minerals, however, have a range of various elemental compositions that possibly originated from multiple different sources. Therefore, it might be crucial [...] Read more.
Variations in clay mineral assemblages have been widely used to understand changes in sediment provenance during glacial and interglacial periods. Smectite clay minerals, however, have a range of various elemental compositions that possibly originated from multiple different sources. Therefore, it might be crucial to distinguish the various types of smectites by analyzing their elemental composition in order to verify the sediment provenances with certainty. This hypothesis was tested for the clay mineral characteristics in a marine sediment core from the southern Drake Passage (GC05-DP02). Rare earth elements and ε N d data had previously indicated that fine grained detritus was supplied from the Weddell Sea to the core site during interglacial periods, when the sediments contained more Al-rich smectite (montmorillonite). Indeed, marine sediments collected close to the Larsen Ice Shelf on the eastern Antarctic Peninsula continental shelf, western Weddell Sea embayment, show more Al-rich smectite components as compared with other possible West Antarctic sources, such as the Ross Sea embayment or King George Island, South Shetland Islands. Furthermore, two types of smectite (Al-rich and Al-poor) were identified in core GC360 from the Bellingshausen Sea shelf, suggesting that during glacial periods some sediment is derived from subglacial erosion of underlying pre-Oligocene sedimentary strata containing predominantly Al-rich montmorillonite. This finding reveals different sources for smectites in sediments deposited at site GC360 during the last glacial period and during the present interglacial that show only minor differences in smectite contents. For the interglacial period, two groups of smectite with a wide range of Al-rich and Mg–Fe-rich were identified, which indicate delivery from two different sources: (1) the detritus with high contents of Mg–Fe-rich smectite supplied from Beethoven Peninsula, southwestern Alexander island and (2) the detritus with higher contents of Al-rich smectite (montmorillonite) possibly derived from the subglacial reworking of pre-Oligocene sedimentary strata. These results demonstrate that the elemental compositions of smectites can be used to differentiate the sources of smectites in marine sediments, which is an important tool to define sediment provenance in detail, when down-core changes observed in clay mineral assemblages are interpreted. Full article
(This article belongs to the Special Issue Clays and Micro-Organisms: From Nature to Industry)
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<p>Location of core GC05-DP02 in southern Drake Passage and cores GC359 and GC360 on the shelf of the Bellingshausen Sea, Antarctica. Deep and shallow water circulation paths are from the modified of Hernández-Molina et al. (2006) [<a href="#B19-minerals-09-00322" class="html-bibr">19</a>]. SSI = South Shetland Island, AI = Alexander Island.</p>
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<p>Sedimentary facies and contents of smectite, chlorite, illite, and kaolinite in sediment from core GC05-DP02 in southern Drake Passage. Marine Oxygen Isotope Stage (MIS) assignment following Lee et al. (2012) [<a href="#B15-minerals-09-00322" class="html-bibr">15</a>]. Arrows indicate the depth of TEM samples.</p>
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<p>Sedimentary facies (three distinct units from glacimarine sediment to proximal sub-ice shelf diamicton/soft till), contents of smectite, chlorite, illite, and kaolinite in core GC360. (GM: glacimarine sediment, ST: soft till, SID: proximal sub-ice shelf diamicton, si: seasonal sea-ice cover, pi: permanent sea-ice cover/distal ice-shelf cover) (Modified from Hillenbrand et al., 2009 [<a href="#B10-minerals-09-00322" class="html-bibr">10</a>]). Arrow indicates the depth of transmission electron microscopy (TEM) samples.</p>
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<p>Representative TEM micrographs of lattice fringes in smectites from core GC05-DP02 from (<b>a</b>) a glacial MIS 10 (with an inset figure of the selected-area electron diffraction (SAED) pattern of smectite (d<sub>001</sub> = 1.2 nm)) and (<b>b</b>) an interglacial MIS 9 (with an inset figure of the SAED pattern of smectite (d<sub>001</sub> = 1.25 nm)). The elemental composition of smectite was obtained using TEM-energy dispersive X-ray spectrometer (TEM-EDS).</p>
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<p>Ternary Al–Fe–Mg plot of the octahedral site composition of smectites for the glacial (white circle, MIS 2, 4, and 10) and the interglacial (black circle, MIS 9 and 11) sediments from core GC05-DP02. The compositional fields for smectites in sediments from near the Larsen Ice Shelf (core EAP13-GC16B), Ross Sea shelf (Setti et al., 1998, 2000, 2004 [<a href="#B30-minerals-09-00322" class="html-bibr">30</a>,<a href="#B31-minerals-09-00322" class="html-bibr">31</a>,<a href="#B32-minerals-09-00322" class="html-bibr">32</a>]), and King George Island (Jeong &amp; Yoon, 2001 [<a href="#B33-minerals-09-00322" class="html-bibr">33</a>]) are also shown.</p>
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<p>Representative TEM micrographs of lattice fringes of smectites in sediments from (<b>a</b>) the last glacial period (with an inset figure of the SAED pattern of smectite (d<sub>001</sub> = 1.25 nm)), and (<b>b</b>) the present interglacial period (with an inset figure of the SAED pattern of smectite (d<sub>001</sub> = 1.23 nm)) in cores from GC360. The elemental composition of smectite was measured using TEM-EDS.</p>
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<p>Ternary Al–Fe–Mg plot of the octahedral site compositions of smectites for the glacial (triangle, 140 cmbsf) and the interglacial (diamond, 15 cmbsf) sediments from core GC360. Note that area 1 = montmorillonite-beidellite, area 2 = trioctahedral smectite (saponite), and area 3 = nontronite (Weaver and Pollard, 1973 [<a href="#B2-minerals-09-00322" class="html-bibr">2</a>]).</p>
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<p>Schematic diagram showing possible transport routes of fine-grained detritus. Gray and black arrows indicate smectite transport during glacial and interglacial periods, respectively. Ocean circulation given as in <a href="#minerals-09-00322-f001" class="html-fig">Figure 1</a>. SSI = South Shetland Island, AI = Alexander Island.</p>
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13 pages, 3846 KiB  
Article
Durability Evaluation of Phosphogypsum-Based Cemented Backfill Through Drying-Wetting Cycles
by Xibing Li, Shitong Zhou, Yanan Zhou, Chendi Min, Zhiwei Cao, Jing Du, Lin Luo and Ying Shi
Minerals 2019, 9(5), 321; https://doi.org/10.3390/min9050321 - 26 May 2019
Cited by 25 | Viewed by 3835
Abstract
In this study, the durability of phosphogypsum (PG)-based cemented backfill was investigated by drying-wetting cycles to explore deterioration of its strength and the release of impurities. The leachates in this test were composed of deionized water, 5% Na2SO4 solution, 5% [...] Read more.
In this study, the durability of phosphogypsum (PG)-based cemented backfill was investigated by drying-wetting cycles to explore deterioration of its strength and the release of impurities. The leachates in this test were composed of deionized water, 5% Na2SO4 solution, 5% NaCl solution, and a range of sulfuric acid solutions with pH values of 1.5, 3, and 5. After drying-wetting cycles, unconfined compressive strength (UCS), visual deterioration, porosity, microstructure and concentrations of phosphate and fluoride in the leachates were measured. The results showed that both saline and acidic solutions could lead to strength reduction of PG-based cemented backfill under different deterioration mechanisms. The mechanical damage of salinity was caused by micro-cracking and degradation of C–S–H. However, the H+ broke the backfill by dissolving hydration products, leaving the conjunctures between PG particles weakened. Furthermore, the environmental impact was investigated by measuring the concentration of phosphate and fluoride in the leachates. In acidic solutions, the release of phosphate and fluoride was greatly enhanced by H+. Compared to the great strength deterioration in saline leachates, the concentration of phosphate and fluoride were similar to that of deionized water, indicating that saline solutions had little impact on the release of hazardous impurities. Full article
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<p>Particle size distributions of the phosphogypsum and binder.</p>
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<p>The development of unconfined compressive strength of the phosphogypsum (PG)-based backfill specimens within 120 days.</p>
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<p>Visual inspection of the PG-based backfill specimens with different exposure solutions after 30 drying-wetting cycles.</p>
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<p>Scanning electron microscope (SEM) images of the PG-based backfill specimens with 120 d curing age and different exposure solutions after 30 drying-wetting cycles. Magnification factor: 2500×; accelerating voltage: 10.00 kV; and working distance: 6.0 mm.</p>
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<p>Energy dispersive spectrometry (EDS) analysis of specimens exposed to NaCl. Magnification factor: 2500×; accelerating voltage: 10.00 kV; and working distance: 6.0 mm.</p>
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<p>Variation of the porosity of hardened backfill samples with different drying-wetting cycles.</p>
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<p>Unconfined compressive strength of the PG-based backfill specimens at different drying-wetting cycles and exposure solutions.</p>
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<p>Visual inspection of the PG-based backfill specimens with different exposure solutions after 30 drying-wetting cycles.</p>
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<p>pH values in 30 drying-wetting cycles; the dotted lines indicate the initial values for each solution.</p>
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<p>The cumulative leaching quantities of hazardous impurities in leachates: (<b>a</b>) The cumulative leaching quantities of fluoride and (<b>b</b>) the cumulative leaching quantities of dissolved phosphate.</p>
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13 pages, 17346 KiB  
Article
Magnetite and Carbon Extraction from Coal Fly Ash Using Magnetic Separation and Flotation Methods
by Dmitry Valeev, Irina Kunilova, Alexander Alpatov, Alika Varnavskaya and Dianchun Ju
Minerals 2019, 9(5), 320; https://doi.org/10.3390/min9050320 - 25 May 2019
Cited by 38 | Viewed by 8200
Abstract
In this study, enrichment methods for coal fly ash (CFA) from Omsk thermal power station No. 4 (TPS-4) were investigated. The magnetite and unburned carbon concentrates were obtained by magnetic separation and flotation methods. The wet magnetic separation used in the study increased [...] Read more.
In this study, enrichment methods for coal fly ash (CFA) from Omsk thermal power station No. 4 (TPS-4) were investigated. The magnetite and unburned carbon concentrates were obtained by magnetic separation and flotation methods. The wet magnetic separation used in the study increased the magnetite content in the magnetic fraction from 10.48 to 12.72 wt % compared to dry magnetic separation. The XRD analysis showed that the magnetic fraction primarily consists of magnetite, mullite, and quartz. The SEM analysis demonstrated that magnetite is located primarily on the surface of alumosilicate spheres and has three types of shape: dendritic structures, hexagonal bulk agglomerates, and star-like structures. For the flotation tests, a low-price diesel was used as the collector. It was found that, if CFA particles of 40–71 µm are used, ~99% of unburned carbon can be recovered. It was also found by SEM that, if CFA particles of 71–100 µm are used, alumosilicates on a carbon surface prevent complete interaction of diesel with carbon particles and decrease thereby carbon recovery to 83%. Full article
(This article belongs to the Section Mineral Processing and Extractive Metallurgy)
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<p>X-ray diffraction (XRD) patterns of raw CFA from the Omsk TPS-4.</p>
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<p>SEM images of the raw CFA samples from the Omsk TPS-4.</p>
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<p>Flowchart of the dry magnetic separation of the Omsk CFA for the magnetite and alumosilicate concentrates obtained (in all tests, losses of CFA were from 1.4 to 3.3%).</p>
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<p>The effect of the magnetic intensity (T) on the yield of the magnetic fraction, the grade of magnetite, recovery (R), and separation efficiency (E) by wet magnetic separation of the raw CFA.</p>
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<p>XRD patterns of the non-magnetic (<b>a</b>) and magnetic (<b>b</b>) fractions of CFA after wet magnetic separation at 0.11 T.</p>
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<p>SEM images of the magnetite concentrate: (<b>a</b>) sphere with dendritic structures of magnetite, (<b>b</b>) sphere with hexagonal bulk agglomerates of magnetite, (<b>c</b>) sphere with star-like structures of magnetite, and (<b>d</b>) individual submicron pyramidal crystals of magnetite integrated into the star-like structure.</p>
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<p>SEM images of the magnetite concentrate: (<b>a</b>) sphere with dendritic structures of magnetite, (<b>b</b>) sphere with hexagonal bulk agglomerates of magnetite, (<b>c</b>) sphere with star-like structures of magnetite, and (<b>d</b>) individual submicron pyramidal crystals of magnetite integrated into the star-like structure.</p>
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<p>The effect of the collector volume on the yield of carbon concentrate, the grade of carbon, recovery (R), and flotation efficiency (E) for the non-magnetic fraction of the CFA (diesel is the collector, with a particle size 71–100 µm and a flotation duration of 240 s).</p>
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<p>The SEM images of unburned carbon particles obtained by flotation of the CFA non-magnetic fraction (the collector volume is 3 mL); yellow arrows show porous spherical particle; red arrows show non-hollow elongated rectangular particle.</p>
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<p>The effect of particle size and flotation time on the unburned carbon recovery.</p>
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<p>The SEM images of unburned carbon particles obtained by flotation kinetics tests: (<b>a</b>) particle size of 71–100 µm; (<b>b</b>) particle size of 40–71 µm (yellow arrows show unburned carbon particles; red arrows show alumosilicates particles).</p>
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<p>Flowsheet of the CFA enrichment process using wet magnetic separation and flotation (Y—the amount of the magnetite/carbon concentrate relative to the initial mass of the raw CFA, G—grade of magnetite/carbon, R—recovery of magnetite/carbon, E—magnetic separation/flotation efficiency).</p>
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12 pages, 3608 KiB  
Article
Leaching of White Metal in a NaCl-H2SO4 System under Environmental Conditions
by Jonathan Castillo, Rossana Sepúlveda, Giselle Araya, Danny Guzmán, Norman Toro, Kevin Pérez, Marcelo Rodríguez and Alessandro Navarra
Minerals 2019, 9(5), 319; https://doi.org/10.3390/min9050319 - 24 May 2019
Cited by 15 | Viewed by 5012
Abstract
The effect of NaCl on the leaching of white metal from a Teniente Converter was investigated in NaCl-H2SO4 media under environmental conditions. The copper dissolution from white metal was studied using ferric ions in the range of 1–10 g/L, NaCl [...] Read more.
The effect of NaCl on the leaching of white metal from a Teniente Converter was investigated in NaCl-H2SO4 media under environmental conditions. The copper dissolution from white metal was studied using ferric ions in the range of 1–10 g/L, NaCl in the range of 30–210 g/L, and sulfuric acid in the range of 10–50 g/L. The test without NaCl produced a dissolution of 55%; through the addition of NaCl, the dissolution increased to nearly 90%. The effect of sulfuric acid on the copper dissolution was not significant in the studied range, as the excess sulfuric acid simply increased the iron precipitation. The positive effect of NaCl seems to be related to the action of chloro-complex oxidizing agents in relation to the Cu+2/Cu+ couple. A simplified two-stage mechanism is proposed for the leaching of white metal. In the first stage, the white metal produces covellite and Cu2+, and in the second stage it produces elemental sulfur and Cu2+. The first stage is very rapidly compared to the second stage. Full article
(This article belongs to the Special Issue Recent Advances in Hydro- and Biohydrometallurgy)
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<p>White metal diffractogram.</p>
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<p>Analysis by scanning electron microscopy with energy dispersive spectroscopy SEM-EDS to the white metal with mapping to 200×.</p>
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<p>Optical microscopy of white metal with magnification (<b>a</b>) 20× and (<b>b</b>) 100×.</p>
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<p>Copper leaching of white metal with a leaching solution containing 20 g/L H<sub>2</sub>SO<sub>4</sub> at 1 atm, 22 °C and 400 rpm.</p>
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<p>XRD analysis of residue for the baseline test.</p>
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<p>Copper recovery curves in leaching with a variation of Fe<sup>3+</sup>, 20 g/L H<sub>2</sub>SO<sub>4</sub> under conditions of 1 atm, 22 °C, and 400 rpm.</p>
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<p>Residue diffractogram 4 days of leaching with 4 g/L of Fe<sup>3+</sup>, 20 g/L of H<sub>2</sub>SO<sub>4</sub> in conditions of 1 atm, 22 °C and 400 rpm.</p>
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<p>Copper recovery curves in leaching with a variation of NaCl, 20 g/L H<sub>2</sub>SO<sub>4</sub>, 4 g/L Fe<sup>3+</sup> under conditions of 1 atm, 22 °C and 400 rpm.</p>
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<p>Residue diffractogram after 4 days of leaching with 4 g/L of Fe<sup>3+</sup>, 20 g/L H<sub>2</sub>SO<sub>4</sub>, and 30 g/L NaCl in conditions of 1 atm, 22 °C and 400 rpm.</p>
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<p>Copper recovery curves in leaching with a variation of H<sub>2</sub>SO<sub>4</sub>, 30 g/L NaCl and 4 g/L Fe<sup>3+</sup> under conditions of 1 atm, 22 °C and 400 rpm.</p>
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18 pages, 6486 KiB  
Article
Phosphate Mine Tailing Recycling in Membrane Filter Manufacturing: Microstructure and Filtration Suitability
by Mohamed Loutou, Wafa Misrar, Mohammed Koudad, Mohammed Mansori, Liga Grase, Claude Favotto, Yassine Taha and Rachid Hakkou
Minerals 2019, 9(5), 318; https://doi.org/10.3390/min9050318 - 24 May 2019
Cited by 29 | Viewed by 4089
Abstract
Ceramic membrane filters based on industrial by-products can be considered to be a valorization alternative of phosphate mine tailings, even more so if these ceramic membranes are used in the industrial wastewater treatment due to their good mechanical, chemical, and thermal resistance. The [...] Read more.
Ceramic membrane filters based on industrial by-products can be considered to be a valorization alternative of phosphate mine tailings, even more so if these ceramic membranes are used in the industrial wastewater treatment due to their good mechanical, chemical, and thermal resistance. The depollution of textile industry rejections with this method has not been studied in detail previously. In this work, ceramic membrane filters have been manufactured from natural clay and phosphate mine tailings (phosphate sludge). Blends of the abovementioned materials with a pore-forming agent (sawdust, up to 20 wt. %) were investigated in the range 900–1100 °C using thermal analysis, X-ray diffraction, scanning electron microscopy, and mercury porosimetry. Ceramic properties were measured as a function of firing temperature and sawdust addition. Filtration tests were carried out on samples with advantageous properties. The results showed that gehlenite together with diopside neoformed from lime decomposed carbonates and breakdown products of clay minerals, while calcium phosphate derived from partial decomposition of fluorapatite. Both quartz and fluorapatite resisted heating. The results of the experimental design showed that the variations of physical properties versus processing factors were well described by the polynomial model. Filtration results are quite interesting, allowing these membranes to be used in industrial effluent treatment. Full article
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<p>X-ray diffraction patterns of phosphate sludge (PS) and a dolomite-rich clay (SA). FA: fluorapatite (PDF #71-0880); Q: quartz (PDF # 5-0490); D: dolomite (PDF # 83-1766); C: calcite (PDF # 72-1650); M: Muscovite (PDF # 43-0685).</p>
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<p>Scheme of the filtration pilot.</p>
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<p>X-ray diffraction patterns of blends heated at 900 °C (<b>A</b>) and 1100 °C (<b>B</b>). (a) SA; (b) SA-SC (5 wt. % of SC); (c) SA-SC (10 wt. % of SC); (d) SA-SC (20 wt. % of SC). G: Gehlenite (PDF # 72-2128); Q: Quartz (PDF # 79-1911); d: diopside (PDF # 75-0945).</p>
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<p>Thermal curves (DTA) and thermogravimetric analysis (TG) of PS-SC, SA-SC and SA-PS-SC.</p>
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<p>SEM micrographs of PS-SC (20 wt. % of SC) blends heated at 900 °C (<b>a</b>) and 1100 °C (<b>b–f</b>).</p>
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<p>X-ray diffraction patterns of SA-PS (50 wt. % of SA) blends heated at 900 °C (<b>A</b>) and 1100 °C (<b>B</b>). (a) SA-PS; (b) SA-PS-SC (5wt. % of SC); (c) SA-PS-SC (10 wt. % of SC); (d) SA-PS-SC (20 wt. % of SC). G: Gehlenite (PDF # 72-2128); Q: Quartz (PDF # 79-1911); F: Fluorapatite (PDF # 83-0556); P: Calcium phosphates (PDF # 11-0232).</p>
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<p>SEM micrographs of PS-SC (20 wt. % of SC) blends heated at 900 °C (<b>a</b>) and 1100 °C (<b>b</b>).</p>
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<p>X-ray diffraction patterns of SA-PS (50 wt. % of SA) blends heated at 900 °C (<b>A</b>) and 1100 °C (<b>B</b>). (a) SA-PS; (b) SA-PS-SC (5 wt. % of SC); (c) SA-PS-SC (10 wt. % of SC); (d) SA-PS-SC (20 wt. % of SC). G: Gehlenite (PDF # 72-2128); Q: Quartz (PDF # 79-1911); F: Fluorapatite (PDF # 83-0556); P: Calcium phosphates (PDF # 11-0232).</p>
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<p>SEM micrographs of SA-PS-SC blends heated at 900 °C (<b>a</b>,<b>b</b>) and 1100 °C (<b>c</b>).</p>
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<p>Pore-size distribution from mercury porosimetry of SA-SC blends (<b>a</b>), PS-SC blends (<b>b</b>) and ternary mixture (SA-PS-SC) (<b>c</b>) heated at 900 °C.</p>
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<p>Variation of water flux as a function of transmembrane pressure.</p>
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<p>Permeate of textile effluent versus filtration time.</p>
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<p>Three-dimensional representation of the variations of density (<span class="html-italic">Y</span><sub>1</sub>) and the firing shrinkage (<span class="html-italic">Y</span><sub>2</sub>) against the processing factors for the ternary mixture.</p>
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<p>Variation of the water absorption (<span class="html-italic">Y</span><sub>3</sub>) and compressive strength (<span class="html-italic">Y</span><sub>4</sub>) of the ternary blends.</p>
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23 pages, 7679 KiB  
Article
A Bat-Optimized One-Class Support Vector Machine for Mineral Prospectivity Mapping
by Yongliang Chen, Wei Wu and Qingying Zhao
Minerals 2019, 9(5), 317; https://doi.org/10.3390/min9050317 - 23 May 2019
Cited by 33 | Viewed by 3651
Abstract
One-class support vector machine (OCSVM) is an efficient data-driven mineral prospectivity mapping model. Since the parameters of OCSVM directly affect the performance of the model, it is necessary to optimize the parameters of OCSVM in mineral prospectivity mapping. Trial and error method is [...] Read more.
One-class support vector machine (OCSVM) is an efficient data-driven mineral prospectivity mapping model. Since the parameters of OCSVM directly affect the performance of the model, it is necessary to optimize the parameters of OCSVM in mineral prospectivity mapping. Trial and error method is usually used to determine the “optimal” parameters of OCSVM. However, it is difficult to find the globally optimal parameters by the trial and error method. By combining OCSVM with the bat algorithm, the intialization parameters of the OCSVM can be automatically optimized. The combined model is called bat-optimized OCSVM. In this model, the area under the curve (AUC) of OCSVM is taken as the fitness value of the objective function optimized by the bat algorithm, the value ranges of the initialization parameters of OCSVM are used to specify the search space of bat population, and the optimal parameters of OCSVM are automatically determined through the iterative search process of the bat algorithm. The bat-optimized OCSVMs were used to map mineral prospectivity of the Helong district, Jilin Province, China, and compared with the OCSVM initialized by the default parameters (i.e., common OCSVM) and the OCSVM optimized by trial and error. The results show that (a) the receiver operating characteristic (ROC) curve of the trial and error-optimized OCSVM is intersected with those of the bat-optimized OCSVMs and (b) the ROC curves of the optimized OCSVMs slightly dominate that of the common OCSVM in the ROC space. The area under the curves (AUCs) of the common and trial and error-optimized OCSVMs (0.8268 and 0.8566) are smaller than those of the bat-optimized ones (0.8649 and 0.8644). The optimal threshold for extracting mineral targets was determined by using the Youden index. The mineral targets predicted by the common and trial and error-optimized OCSVMs account for 29.61% and 18.66% of the study area respectively, and contain 93% and 86% of the known mineral deposits. The mineral targets predicted by the bat-optimized OCSVMs account for 19.84% and 14.22% of the study area respectively, and also contain 93% and 86% of the known mineral deposits. Therefore, we have 0.93/0.2961 = 3.1408 < 0.86/0.1866 = 4.6088 < 0.93/0.1984 = 4.6875 < 0.86/0.1422 = 6.0478, indicating that the bat-optimized OCSVMs perform slightly better than the common and trial and error-optimized OCSVMs in mineral prospectivity mapping. Full article
(This article belongs to the Special Issue Novel Methods and Applications for Mineral Exploration)
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<p>The concentrations of Au, Bi, Co, Cu, Mo, and Ni collected from the 6999 valid sampling locations in the study area.</p>
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<p>The grid data of Au, Bi, Co, Cu, Mo, and Ni produced by the interpolation method of Inverse Distance to a Power in Surfer 12.</p>
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<p>Mineral deposits and binary evidence map layers: (<b>a</b>) the unit cell layer containing known mineral deposits, (<b>b</b>) the Jinan Formation, (<b>c</b>) porphyritic biotite granodiorite, (<b>d</b>) porphyritic granodiorite, (<b>e</b>) fine-grained monzonite, (<b>f</b>) medium-fine-grained diorite, (<b>g</b>) fault with 0.5 km buffer, (<b>h</b>) troctolite boundary with 0.8 km buffer, (<b>i</b>) porphyritic biotite granodiorite boundary with 0.1 km buffer, (<b>j</b>) porphyritic granodiorite boundary with 0.6 km buffer, (<b>k</b>) fine-grained monzonite boundary with 0.1 km buffer, (<b>l</b>) medium-fine-grained diorite boundary with 1.0 km buffer, (<b>m</b>) gold concentration anomalies, (<b>n</b>) bismuth concentration anomalies, (<b>o</b>) cobalt concentration anomalies, (<b>p</b>) copper concentration anomalies, (<b>q</b>) molybdenum concentration anomalies, and (<b>r</b>) nickel concentration anomalies.</p>
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<p>Mineral deposits and binary evidence map layers: (<b>a</b>) the unit cell layer containing known mineral deposits, (<b>b</b>) the Jinan Formation, (<b>c</b>) porphyritic biotite granodiorite, (<b>d</b>) porphyritic granodiorite, (<b>e</b>) fine-grained monzonite, (<b>f</b>) medium-fine-grained diorite, (<b>g</b>) fault with 0.5 km buffer, (<b>h</b>) troctolite boundary with 0.8 km buffer, (<b>i</b>) porphyritic biotite granodiorite boundary with 0.1 km buffer, (<b>j</b>) porphyritic granodiorite boundary with 0.6 km buffer, (<b>k</b>) fine-grained monzonite boundary with 0.1 km buffer, (<b>l</b>) medium-fine-grained diorite boundary with 1.0 km buffer, (<b>m</b>) gold concentration anomalies, (<b>n</b>) bismuth concentration anomalies, (<b>o</b>) cobalt concentration anomalies, (<b>p</b>) copper concentration anomalies, (<b>q</b>) molybdenum concentration anomalies, and (<b>r</b>) nickel concentration anomalies.</p>
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<p>Simplified geologic map and known mineral deposits.</p>
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<p>Curves of the Youden indices of the buffered linear evidences changing with buffer width.</p>
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<p>Contour maps of Au, Bi, Co, Cu, Mo, and Ni concentration anomalies.</p>
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<p>Curve of the AUC value of the OCSVM model changing with (<b>a</b>) <span class="html-italic">σ</span> and (<b>b</b>) <span class="html-italic">μ</span>.</p>
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<p>Mineral targets extracted by (<b>a</b>) the common OCSVM, (<b>b</b>) the trial and error-optimized OCSVM, (<b>c</b>) the bat-optimized OCSVM 1, and (<b>d</b>) the bat-optimized OCSVM 2.</p>
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<p>The AUC value of the OCSVM model varies with iterations: (<b>a</b>) the bat algorithm initialized with <span class="html-italic">L</span> = 20, <span class="html-italic">T</span> = 30, <span class="html-italic">f</span><sub>min</sub> = 0, <span class="html-italic">f</span><sub>max</sub> = 1, <span class="html-italic">A</span><sub>min</sub> = 0, <span class="html-italic">A</span><sub>max</sub> = 1, and <span class="html-italic">α</span> = <span class="html-italic">γ =</span> 0.9; and (<b>b</b>) the bat algorithm initialized with <span class="html-italic">L</span> = 30, <span class="html-italic">T</span> = 20, <span class="html-italic">f</span><sub>min</sub> = 0, <span class="html-italic">f</span><sub>max</sub> = 1, <span class="html-italic">A</span><sub>min</sub> = 0, <span class="html-italic">A</span><sub>max</sub> = 1, and <span class="html-italic">α</span> = <span class="html-italic">γ =</span> 0.9.</p>
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<p>The receiver operating characteristic (ROC) curves of the common and optimized OCSVMs.</p>
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17 pages, 3731 KiB  
Article
Characterization of Microbial Communities Associated with Ceramic Raw Materials as Potential Contributors for the Improvement of Ceramic Rheological Properties
by Angela M. Garcia-Sanchez, Bernardino Machado-Moreira, Mário Freire, Ricardo Santos, Sílvia Monteiro, Diamantino Dias, Orquídia Neves, Amélia Dionísio and Ana Z. Miller
Minerals 2019, 9(5), 316; https://doi.org/10.3390/min9050316 - 23 May 2019
Cited by 4 | Viewed by 4205
Abstract
Technical ceramics are being widely employed in the electric power, medical and engineering industries because of their thermal and mechanical properties, as well as their high resistance qualities. The manufacture of technical ceramic components involves complex processes, including milling and stirring of raw [...] Read more.
Technical ceramics are being widely employed in the electric power, medical and engineering industries because of their thermal and mechanical properties, as well as their high resistance qualities. The manufacture of technical ceramic components involves complex processes, including milling and stirring of raw materials in aqueous solutions, spray drying and dry pressing. In general, the spray-dried powders exhibit an important degree of variability in their performance when subjected to dry-pressing, which affects the efficiency of the manufacturing process. Commercial additives, such as deflocculants, biocides, antifoam agents, binders, lubricants and plasticizers are thus applied to ceramic slips. Several bacterial and fungal species naturally occurring in ceramic raw materials, such as Sphingomonas, Aspergillus and Aureobasidium, are known to produce exopolysaccharides. These extracellular polymeric substances (EPS) may confer unique and potentially interesting properties on ceramic slips, including viscosity control, gelation, and flocculation. In this study, the microbial communities present in clay raw materials were identified by both culture methods and DNA-based analyses to select potential EPS producers based on the scientific literature for further assays based on the use of EPS for enhancing the performance of technical ceramics. Potential exopolysaccharide producers were identified in all samples, such as Sphingomonas sp., Pseudomonas xanthomarina, P. stutzeri, P. koreensis, Acinetobacter lwoffi, Bacillus altitudinis and Micrococcus luteus, among bacteria. Five fungi (Penicillium citrinum, Aspergillus niger, Fusarium oxysporum, Acremonium persicinum and Rhodotorula mucilaginosa) were also identified as potential EPS producers. Full article
(This article belongs to the Special Issue Clays and Micro-Organisms: From Nature to Industry)
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<p>Sampling at Rauschert Portuguesa of ceramic raw materials and slips: (<b>A</b>) sampling of talc into sterile containers; (<b>B</b>) clay minerals collection from transportation bag; (<b>C</b>) replicates collected from each raw material; (<b>D</b>) ceramic slip from the mixing tank was collected directly into sterile containers.</p>
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<p>Fourier Transform Infrared spectra of the ceramic raw materials (<a href="#minerals-09-00316-t001" class="html-table">Table 1</a>) used by Rauschert Portuguesa.</p>
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<p>Distribution of bacterial phyla retrieved from samples 1A (mill ceramic suspension), 2B (talc 1), 4D (clay), 6F (barium carbonate), 7G (talc 3) and 8H (tank ceramic slip).</p>
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<p>Distribution of bacterial genera retrieved from samples 1A (mill ceramic suspension), 2B (talc 1), 4D (clay), 6F (barium carbonate), 7G (talc 3) and 8H (tank ceramic slip).</p>
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<p>Phylogenetic affiliations (order level) of the ITS sequences obtained from sample 7G–F (talc 3).</p>
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<p>Identification of fungal strains isolated from samples 1A, 2B, 3C and 7G.</p>
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<p>Conceptual model of the effect of adding EPS to ceramic materials and their potential impact on the rheological properties.</p>
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10 pages, 2126 KiB  
Article
Hydrochloric Acidic Processing of Titanite Ore to Produce a Synthetic Analogue of Korobitsynite
by Lidia G. Gerasimova, Anatoly I. Nikolaev, Ekaterina S. Shchukina, Marina V. Maslova, Galina O. Kalashnikova, Gleb O. Samburov and Gregory Yu. Ivanyuk
Minerals 2019, 9(5), 315; https://doi.org/10.3390/min9050315 - 22 May 2019
Cited by 3 | Viewed by 3237
Abstract
The modal composition of (apatite)-nepheline-titanite ore and its geological setting within apatite deposits of the Khibiny Massif allow selective mining of titanite ore and its hydrochloric acidic processing. The reaction of titanite with concentrated hydrochloric acid produces hydrated titanosilicate precipitate (TSP) which, in [...] Read more.
The modal composition of (apatite)-nepheline-titanite ore and its geological setting within apatite deposits of the Khibiny Massif allow selective mining of titanite ore and its hydrochloric acidic processing. The reaction of titanite with concentrated hydrochloric acid produces hydrated titanosilicate precipitate (TSP) which, in turn, can be a precursor in titanosilicate synthesis. It is particularly noteworthy that a synthetic analogue of korobitsynite, Na5(Ti3Nb)[Si4O12]2O2(OH)2·7H2O, was synthesized by means of TSP alteration by alkaline hydrothermal solution at 200 °C within three days. The titanosilicate obtained this way has comparatively weak cation-exchange properties regarding Cs+ and Sr2+ cations and considerable photocatalytic activity occurring under visible light, which allows the use of a synthetic korobitsynite analogue (SKR) for production of self-cleaning, sterilizing, and anti-fouling building materials. Full article
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<p>Schema of photocatalytic decomposition of organic pollutants, C<span class="html-italic"><sub>x</sub></span>H<span class="html-italic"><sub>y</sub></span>O<span class="html-italic"><sub>z</sub></span>, where <span class="html-italic">hv</span> is the light energy, <span class="html-italic">E<sub>bg</sub></span>—the band gap energy; h<sup>+</sup> is positive hole; e<sup>–</sup>—electron, O<sup>2–•</sup>—superoxide radical; HO•—hydroxyl radical.</p>
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<p>Radiated aggregates and long prismatic crystals (<b>a</b>) and crystal structure of korobitsynite ((<b>b</b>), after [<a href="#B21-minerals-09-00315" class="html-bibr">21</a>]). 1—korobitsynite, 2—quartz, 3—albite, 4—aegirine.</p>
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<p>A principal scheme of apatite-nepheline-titanite ore processing for SKR synthesis.</p>
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<p>Change in Ti and Ca contents in concentrated hydrochloric acidic solution with time.</p>
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<p>Powder X-Ray diffraction profile (<b>a</b>) and TG/DSC curves of TSP (<b>b</b>). Indexed peaks correspond to rutile.</p>
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<p>SE image of sample 3 (<b>a</b>) and powder X-Ray diffraction patterns of samples 1–4 in comparison with the patterns of natural korobitsynite and TR01 after [<a href="#B24-minerals-09-00315" class="html-bibr">24</a>] (<b>b</b>). L—lorenzenite.</p>
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20 pages, 3259 KiB  
Article
In Situ Effectiveness of Alkaline and Cementitious Amendments to Stabilize Oxidized Acid-Generating Tailings
by Abdellatif Elghali, Mostafa Benzaazoua, Bruno Bussière and Thomas Genty
Minerals 2019, 9(5), 314; https://doi.org/10.3390/min9050314 - 22 May 2019
Cited by 34 | Viewed by 4686
Abstract
This study investigates the effectiveness of alkaline and cementitious additives in the in situ stabilization of localized acid-generating tailings from a closed gold mine in Abitibi–Témiscamingue, Québec (Eagle/Telbel mine site). Five field cells (including one control) were constructed and equipped with mechanisms for [...] Read more.
This study investigates the effectiveness of alkaline and cementitious additives in the in situ stabilization of localized acid-generating tailings from a closed gold mine in Abitibi–Témiscamingue, Québec (Eagle/Telbel mine site). Five field cells (including one control) were constructed and equipped with mechanisms for collecting vertical water infiltration and surface runoff. The five cells included: (C1) Control cell; (C2) 5 wt % limestone amendment; (C3) 10 wt % limestone amendment; (C4) 5 wt % half ordinary Portland cement and half fly ash amendment; and (C5) 5 wt % ordinary Portland cement amendment. The control cell showed an acidic behavior (pH < 4.5) with variable concentrations of Fe, Al, Zn, and Cu. The amendments were used to neutralize the acidic leachates and decrease dissolved metal concentrations. Leachates from surface runoff samples of amended cells were less loaded with metals compared to samples of vertical infiltration. All amendment formulations increased the pH of the leachates from approximately 4 to circumneutral values. Furthermore, metal and metalloid concentrations were greatly limited, except for Cr and As for the carbonate-based amendments. Metal(-oid) stabilization was successfully achieved using the different amendment formulations, with the exception of C2, which still released As. Full article
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<p>Evolution of (<b>A</b>) pH, (<b>B</b>) electrical conductivity, and (<b>C</b>) Eh for leachates from vertical infiltration.</p>
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<p>Evolution of concentrations of (<b>A</b>) Ca, (<b>B</b>) Mg, (<b>C</b>) Mn, (<b>D</b>) Al, (<b>E</b>) Fe, (<b>F</b>) S, (<b>G</b>) Zn, (<b>H</b>) Cu, (<b>I</b>) As, and (<b>J</b>) Cr in vertical infiltration waters.</p>
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<p>Evolution of (<b>A</b>) pH, (<b>B</b>) EC, and (<b>C</b>) Eh for leachates from surface runoff.</p>
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<p>Evolution of concentrations of (<b>A</b>) Ca, (<b>B</b>) Mg, (<b>C</b>) Mn, (<b>D</b>) Al, (<b>E</b>) Fe, (<b>F</b>) S, (<b>G</b>) Zn, (<b>H</b>) Cu, (<b>I</b>) As, and (<b>J</b>) Cr for leachates from surface runoff.</p>
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<p>Evolution of volumetric water content (VWC) within the five field cells.</p>
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<p>(<b>A</b>) Modal mineralogy for the dismantled samples; (<b>B</b>) Ca deportment; (<b>C</b>) Fe deportment; and (<b>D</b>) S deportment within the dismantled samples.</p>
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<p>Degree of liberation for (<b>A</b>) carbonates and (<b>B</b>) sulfides.</p>
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<p>SEM images showing (<b>A</b>) siderite coated by Fe oxides, (<b>B</b>) pyrite coated by siderite and Fe oxides, and (<b>C</b>) and (<b>D</b>) silicates coated by Fe oxides and siderite.</p>
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<p>Fe and S pH–Eh diagrams for the leachates from (<b>A</b>) the reference cell and (<b>B</b>) amended tailings.</p>
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<p>Reduction factors for Al, As, Cr, Cu, Fe, Ni, Pb, and Zn for the different amendment formulations. (<b>A</b>) Vertical infiltration leachates; (<b>B</b>) surface and subsurface runoff leachates.</p>
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23 pages, 2490 KiB  
Article
Non-Metamict Aeschynite-(Y), Polycrase-(Y), and Samarskite-(Y) in NYF Pegmatites from Arvogno, Vigezzo Valley (Central Alps, Italy)
by Alessandro Guastoni, Luciano Secco, Radek Škoda, Fabrizio Nestola, Mariangela Schiazza, Milan Novák and Giorgio Pennacchioni
Minerals 2019, 9(5), 313; https://doi.org/10.3390/min9050313 - 21 May 2019
Cited by 9 | Viewed by 4373
Abstract
At Arvogno, Vigezzo valley in the Central Alps, Italy, pegmatite dikes are unique in the scenario of a tertiary alpine pegmatite field because they show marked geochemical and mineralogical niobium–yttrium–fluorine features. These pegmatites contain AB2O6 aeschynite group minerals and ABX [...] Read more.
At Arvogno, Vigezzo valley in the Central Alps, Italy, pegmatite dikes are unique in the scenario of a tertiary alpine pegmatite field because they show marked geochemical and mineralogical niobium–yttrium–fluorine features. These pegmatites contain AB2O6 aeschynite group minerals and ABX2O8 euxenite group minerals as typical accessory minerals including aeschynite-(Y), polycrase-(Y), and samarskite-(Y). They are associated with additional typical minerals such as fluorite, Y-dominant silicates, and xenotime-(Y). The Y–Nb–Ti–Ta AB2O6 and ABX2O8 oxides at the Arvogno pegmatites did not exhibit any textural and compositional features of oxidation or weathering. They are characterized by low self-radiation-induced structural damage, leading to the acquisition of unit-cell data for aeschynite-(Y), polycrase-(Y), and samarskite-(Y) by single-crystal X-ray diffraction. Aeschynite-(Y) and polycrase-(Y) crystals allowed for both to provide space groups whereas samarskite-(Y) was the first crystal from pegmatites for which cell-data were obtained at room temperature but did not allow for the accurate determination of the space group. According to the chemical compositions defined by Ti-dominant content at the B-site, the cell parameters, respectively, corresponded to polycrase-(Y), aeschynite-(Y), and the monoclinic cell of samarskite-(Y). Emplacement of Alpine pegmatites can be related to the progressive regional metamorphic rejuvenation from east to west in the Central Alps, considering the progressive cooling of the thermal Lepontine Barrovian metamorphic dome. Previous studies considered magmatic pulses that led to emplace the pegmatite field in the Central Alps. As an example, the pegmatites that intruded the Bergell massif were aged at 28–25 millions of years or younger, around 20–22 m.y. Full article
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<p>Simplified structural map of the Central Alps with the field of the Alpine pegmatites showing the locations of the Vigezzo, Codera, and the Bodengo areas. The thick black lines represent the Periadriatic Fault (<span class="html-italic">PF</span>), the Giudicarie Fault (<span class="html-italic">GF</span>), and the Engadine Fault (<span class="html-italic">EF</span>). The light-grey areas represent quaternary deposits along major valleys. The tertiary batholith of Bergell (Br) is in dark-grey, and the smaller, younger Novate stockwork intrusion (No) is in black. A detailed sketched map of the geographical location of the Vigezzo valley between Domodossola in Italy (IT) towards the west and Locarno in Switzerland (CH) is shown in the upper left of the figure. The location of the Arvogno pegmatites are shown with stars.</p>
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<p>The composition of aeschynite-(Y), polycrase-(Y), and samarskite-(Y), plotted in terms of the Ti–Nb–Ta and (REE + Sc + Y)-Ca-(Th + U) apfu ternary plots are shown in (<b>a</b>) and (<b>b</b>). The quadrilateral plot of Ta/(Nb + Ta) and U/(Th + U) showing compositional variations of aeschynite-(Y), polycrase-(Y), and samarskite-(Y) are shown in (<b>c</b>). The CV2 versus CV1 Ercit [<a href="#B13-minerals-09-00313" class="html-bibr">13</a>] statistical diagram is shown in (<b>d</b>) and the chondrite versus normalized REE pattern of aeschynite-(Y), polycrase-(Y), and samarskite-(Y) from Arvogno is shown in (<b>e</b>). For all plots, aeschynite-(Y) and polycrase-(Y) are plotted in white and samarskite-(Y) in grey. Raman spectra of aeschynite-(Y) from Bosco1, samarskite-(Y) from Bosco3, and polycrase-(Y) from Fiume1 are shown in (<b>f</b>).</p>
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<p>Back-scattered electron images of aeschynite-(Y) in (<b>a</b>) and (<b>b</b>) (Bosco1 and Bosco2), samarskite-(Y) in (<b>c</b>) (Bosco3), in (<b>d</b>) the polished section of intergrowth polycrase-(Y) (grey) with samarskite-(Y) (light gray), in (<b>e</b>) the detailed sample section (Bosco4), and polycrase-(Y) in (<b>f</b>) (Fiume1).</p>
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<p>The quadrilateral plots showing compositional variations of aeschynite-(Y), polycrase-(Y), and samarskite-(Y) from (<b>a</b>) to (<b>f</b>). For all plots, the symbols plotted in white are aeschynite-(Y) and polycrase-(Y), and in grey samarskite-(Y).</p>
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18 pages, 3079 KiB  
Article
The Role of Mineral Matter in Concentrating Uranium and Thorium in Coal and Combustion Residues from Power Plants in Poland
by Henryk R. Parzentny and Leokadia Róg
Minerals 2019, 9(5), 312; https://doi.org/10.3390/min9050312 - 20 May 2019
Cited by 16 | Viewed by 5175
Abstract
Based on the results of tests on feed coal from the Lublin Coal and Upper Silesian Coal Basin and its fly ash and slag carried out using X-ray diffraction and X-ray fluorescence analysis, atomic emission spectroscopy, and scanning electron microscopy, it was found [...] Read more.
Based on the results of tests on feed coal from the Lublin Coal and Upper Silesian Coal Basin and its fly ash and slag carried out using X-ray diffraction and X-ray fluorescence analysis, atomic emission spectroscopy, and scanning electron microscopy, it was found that in feeds, coal Th is associated with phosphates and U with mineral matter. The highest Th content was found in anhedral grains of monazite and in Al-Si porous particles of fly ash of <0.05 mm size; whereas in the slag, Th is concentrated in the massive Al-Si grains and in ferrospheres. U is mainly concentrated in the Al-Si surface of porous grains, which form a part of fly ash of <0.05 mm size. In the slag, U is to be found in the Al-Si massive grains or in a dispersed form in non-magnetic and magnetic grains. Groups of mineral phase particles have been identified that have the greatest impact on the content of Th and U in whole fly ash and slag. The research results contained in this article may be important for predicting the efficiency of Th and U leaching from furnace waste storage sites and from falling dusts to soils and waters. Full article
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<p>Location of the coal basins and thermo-electric power station in which samples were taken. 1—Area of the Lublin (LCB) and Upper Silesian Coal Basin (USCB), 2—thermo-electric power station.</p>
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<p>Sample results of the SEM/EDS analysis of U and Th content in: (<b>A</b>) inertinite (I), vitrinite (Vt) and siderite (Sy) in feed coal; (<b>B</b>) ferrosphere (Fs), Al-Si porous grain (Gr) and magnetite microcrystal (Mc) in fly ash &lt;0.05 mm; (<b>C</b>) monazite in fly ash &lt;0.05 mm; (<b>D</b>) Al-Si massive grain in slag.</p>
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<p>The distribution of U and Th content in the feed coal from the Lublin (LCB) and Upper Silesian Coal Basin (USCB) and in the fly ash and slag, (<b>a</b>) and their proportions in determining the average element concentration in fly ash and slag (<b>b</b>) (<a href="#app1-minerals-09-00312" class="html-app">Table S6</a>). *1—magnetic and 2—nonmagnetic fraction of the feed coal, 3–10 fly ash: (3—magnetic and 4—nonmagnetic fraction &gt;0.5 mm, 5—magnetic and 6—nonmagnetic fraction 0.5–0.2 mm, 7—magnetic and 8—nonmagnetic fraction 0.2–0.05 mm, 9—magnetic and 10—nonmagnetic fraction &lt;0.05 mm), 11—magnetic and 12—nonmagnetic fraction of the slag.</p>
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35 pages, 18227 KiB  
Article
Silician Magnetite: Si–Fe-Nanoprecipitates and Other Mineral Inclusions in Magnetite from the Olympic Dam Deposit, South Australia
by Cristiana L. Ciobanu, Max R. Verdugo-Ihl, Ashley Slattery, Nigel J. Cook, Kathy Ehrig, Liam Courtney-Davies and Benjamin P. Wade
Minerals 2019, 9(5), 311; https://doi.org/10.3390/min9050311 - 20 May 2019
Cited by 34 | Viewed by 6666
Abstract
A comprehensive nanoscale study on magnetite from samples from the outer, weakly mineralized shell at Olympic Dam, South Australia, has been undertaken using atom-scale resolution High Angle Annular Dark Field Scanning Transmission Electron Microscopy (HAADF STEM) imaging and STEM energy-dispersive X-ray spectrometry mapping [...] Read more.
A comprehensive nanoscale study on magnetite from samples from the outer, weakly mineralized shell at Olympic Dam, South Australia, has been undertaken using atom-scale resolution High Angle Annular Dark Field Scanning Transmission Electron Microscopy (HAADF STEM) imaging and STEM energy-dispersive X-ray spectrometry mapping and spot analysis, supported by STEM simulations. Silician magnetite within these samples is characterized and the significance of nanoscale inclusions in hydrothermal and magmatic magnetite addressed. Silician magnetite, here containing Si–Fe-nanoprecipitates and a diverse range of nanomineral inclusions [(ferro)actinolite, diopside and epidote but also U-, W-(Mo), Y-As- and As-S-nanoparticles] appears typical for these samples. We observe both silician magnetite nanoprecipitates with spinel-type structures and a γ-Fe1.5SiO4 phase with maghemite structure. These are distinct from one another and occur as bleb-like and nm-wide strips along d111 in magnetite, respectively. Overprinting of silician magnetite during transition from K-feldspar to sericite is also expressed as abundant lattice-scale defects (twinning, faults) associated with the transformation of nanoprecipitates with spinel structure into maghemite via Fe-vacancy ordering. Such mineral associations are characteristic of early, alkali-calcic alteration in the iron-oxide copper gold (IOCG) system at Olympic Dam. Magmatic magnetite from granite hosting the deposit is quite distinct from silician magnetite and features nanomineral associations of hercynite-ulvöspinel-ilmenite. Silician magnetite has petrogenetic value in defining stages of ore deposit evolution at Olympic Dam and for IOCG systems elsewhere. The new data also add new perspectives into the definition of silician magnetite and its occurrence in ore deposits. Full article
(This article belongs to the Special Issue Minerals Down to the Nanoscale: A Glimpse at Ore-Forming Processes)
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<p>(<b>a</b>) Geological map of the Olympic Dam area outlining the main lithological units. Data sourced from <a href="https://map.sarig.sa.gov.au/" target="_blank">https://map.sarig.sa.gov.au/</a> [<a href="#B49-minerals-09-00311" class="html-bibr">49</a>]. Inset shows location of this area in South Australia and extent of the Gawler Craton (arrowed). (<b>b</b>) Sketch of the Olympic Dam deposit showing main lithologies and projection of sampled drillholes (<a href="#minerals-09-00311-t002" class="html-table">Table 2</a>). SLIP-Silicic Large Igneous Province. Numbers 1–5 refer to sample locations (<a href="#minerals-09-00311-t002" class="html-table">Table 2</a>).</p>
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<p>BSE images showing magnetite textures. (<b>a</b>) Coarse (&gt;500 µm) grain surrounded by small (a few µm to some tens of µm) grains of silician magnetite (Si–Mt) typical for the massive magnetite interval (location #1, <a href="#minerals-09-00311-f001" class="html-fig">Figure 1</a>b). (<b>b</b>) Trellis exsolutions (white arrows) in magmatic magnetite from RDG (location #5, <a href="#minerals-09-00311-f001" class="html-fig">Figure 1</a>b). (<b>c</b>) Fragment of magnetite with magmatic domains superimposed by banded silician magnetite (location 5, <a href="#minerals-09-00311-f001" class="html-fig">Figure 1</a>b). (<b>d</b>) Overprint of oscillatory zoning in silician magnetite observed as microfracturing and displacement of bands (white arrows). Mottled textures in silician and magmatic magnetite in (<b>e</b>) and (<b>f</b>), respectively. Note trails crosscutting crystal zoning in (<b>e</b>) and variation in inclusions size across any given band between sets of trellis exsolutions marked by ilmenite (Ilm).</p>
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<p>Element maps (EPMA in (<b>a</b>,<b>b</b>) and EDS-SEM (on the FIB platform) in (<b>d</b>)) and BSE image in (<b>c</b>) of medium-sized and small grains of silician magnetite (massive interval in location #1; drillhole RU65-7976). Note the continuous appearance of the Si along the bands in (<b>a</b>,<b>b</b>). Note the fine-mottled texture in (<b>c</b>) becomes apparent on the maps in (<b>d</b>) which are obtained from a FIB-prepared foil. This illustrates the differences in maps depending upon the sample thickness, i.e., from the surface of a polished block and from a &lt;100 nm-thin foil in (<b>a</b>,<b>b</b>,<b>d</b>), respectively.</p>
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<p>(<b>a</b>) HAADF STEM image and EDS-STEM profile (<b>b</b>) showing a field of Si-bearing nanoparticles (tens of nm; Si–Mt) in coarse magnetite (Mt) (foil #1, FIB cut shown in <a href="#minerals-09-00311-f002" class="html-fig">Figure 2</a>a). (<b>c</b>) Image and EDS-STEM element maps showing a field with denser inclusions in the same foil. Note that the dominant inclusions are Si-bearing (Si–Mt), whereas a minority are either U-bearing NPs or Si–Ca–Mg bearing (bright and dark on HAADF STEM image, respectively). The latter define a Si–Ca–Mg signature part of the nanoprecipitates attributable to silician magnetite.</p>
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<p>(<b>a</b>) Bright Field (BF) STEM image showing crystal zoning and crosscutting trails in medium-sized grains of magnetite (Mt) (foil #2). (<b>b</b>,<b>c</b>) HAADF STEM and EDS maps showing variation in band composition for an area marked in (<b>a</b>). Note Ca and Mg are measured only in the top bands whereas the bottom bands are only Si, Fe-bearing corresponding to silician magnetite nanoprecipitates (Si–Mt) blebs. Note also that the bright inclusions present along the trails (dashed lines) are not depicted by the elemental maps at this resolution. The two bands with different chemistry are highlighted by white dashed lines on the maps.</p>
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<p>Higher-resolution HAADF STEM images (left) and EDS maps showing a field of Si-bearing nanoparticles (Si-Mt) along the crystal zoning in (<b>a</b>) and U-nanoparticles (U-NP) along trails crosscutting zoning in (<b>b</b>). Note U-NP is embedded within the Si-Mt nanoprecipitate.</p>
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<p>HAADF STEM images (left side) and STEM EDS maps showing mottled area with fine particles in magnetite (Distal Satellite Mineralization, location #2; foil #3) in (<b>a</b>), and acicular + bleb inclusions in magnetite (Deep Mineralization, location #3; foil #4) in (<b>b</b>). (<b>c</b>) Profile across fine particles in (<b>b</b>) showing the varied character of the inclusions. Overlap between Si, Ca and Mg, typical of the acicular inclusions, is indicative of calc-silicates, whereas the bleb-like particles are either Si- or Ti-bearing particles (rutile). The Si-bearing particles are attributable to Si-Fe-nanoprecipitates (Si–Mt) with low Si/Fe ratio.</p>
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<p>(<b>a</b>) HAADF STEM (left side) image and STEM-EDS maps showing the presence of inclusions within magnetite (location #4, E transect; foil #5). Note variation in size and shape of inclusions with element concentration, whereby the smallest, bleb-like are highest in Si and Mg-, Ca-bearing ones are fine- to coarser acicular inclusions (calc-silicates). In contrast Al and K show banding, with slightly higher concentration overlapping with the band with densest inclusions. (<b>b</b>) Profile across particles in (<b>a</b>) showing sharp variation in Si signal across the contact between the bands with variable size/density inclusions. There is however, no to little variation in the Ca and Mg signals corelating with the fact that many of the Si-high blebs are SiO<sub>2</sub> (quartz?).</p>
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<p>(<b>a</b>) HAADF STEM image of magnetite with silician and magmatic domains as marked (foil #6). Location of profiles 1-3 is also shown. (<b>b</b>) Overlap between Al, Ti and Si STEM-EDS maps showing the presence of distinct inclusions in the two domains as marked. (<b>c</b>) Profile across the two magnetite domains showing the sharp increase in Si, Ca, Mg signals in the silician domain, whereas Al is higher in the magmatic domain. The Ti signal is high in both but can be highest in the silician domain due to coarser rutile inclusions. (<b>d</b>,<b>e</b>) Profiles across inclusions from the silician and magmatic domains. Note presence of actinolite (Act), Si-Fe-nanoprecipitates (Si–Mt) and rutile (Rt) in (<b>d</b>). In (<b>e</b>), the Al-bearing spinel hercynite (Hrc) and ilmenite (Ilm) form composite inclusions.</p>
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<p>HAADF STEM (left side) image and overlap between Ti, Al and Zn STEM-EDS maps showing a multi-component inclusion in the magmatic domain of magnetite from foil #6. Spectra for the inclusions collected from areas numbered 1–3 on the HAADF STEM image are shown underneath. The Cu signal is from the TEM grid.</p>
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<p>HAADF STEM image (<b>a</b>), STEM-EDS maps (<b>b</b>) and spectra for bleb-like inclusions and host magnetite (Mt) (<b>c</b>) typical of magmatic magnetite from least-altered RDG (location #5; foil #8). (<b>a</b>) Mottled texture with inclusions of two sizes, fine particles and nanoparticles. (<b>b</b>) Overlap between Al, Ti and Fe maps showing the coarser blebs are Ti- and Al-bearing (binary inclusions). (<b>c</b>) Spectra of inclusions and host magnetite obtained from areas marked in (<b>a</b>). Note the presence of ulvöspinel (Ulv) in some of the blebs (lower HAADF signal intensity in (<b>a</b>)). This shows the inclusions comprise two compositionally distinct spinels, Ti- and Al-bearing, respectively, associated with ilmenite (Ilm). Note that the host magnetite does not contain measurable Ti or Al. The Cu signal is from the TEM grid. Her⸺hercynite.</p>
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<p>HAADF STEM images (<b>a</b>–<b>e</b>) showing associations between inclusions in magmatic magnetite (foil #8). These show binary associations between the Ti- and Al-spinels, ulvöspinel (Ulv) and hercynite (Her) in (<b>a</b>) or hercynite and ilmenite (Ilm) in (<b>b</b>). The darkest areas in (<b>a</b>,<b>b</b>) are holes produced during the FIB milling. Epitaxial relationships between the phases and host magnetite (Mt) is shown in (<b>c</b>). (<b>d</b>,<b>e</b>) High-resolution images showing atomic arrangements in magnetite and ilmenite on [100] zone axis in each phase. (<b>f</b>,<b>g</b>) From left to right: indexed selected area of electron diffraction (SAED), HAADF STEM image, STEM simulation and crystal model for magnetite and ilmenite on [100] zone axis. In magnetite, Fe atoms in M and T sites are imaged as spots of different size and intensity. In ilmenite, only the Fe atoms are imaged as dumbbells arrays. The lighter Ti atoms are not captured in the present images.</p>
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<p>HAADF STEM images (<b>a</b>–<b>k</b>) and STEM-EDS spectra (<b>l</b>) showing U-, W-, Y-As-, As-NPs associated with Si-Fe-nanoprecipitates ± carbonates (foils #1 and #2). Note the finest NPs, mostly U-bearing (uraninite), occur along the crystal zoning in the coarser magnetite (a; d–f; foil #1) whereas the more diverse NPs occur along cross-cutting trails in the medium sized grains of magnetite (c; g–k; foil #2). In all cases the NPs are embedded within Si-Fe-nanoprecipitates (Si–Mt). Apy-arsenopyrite; Chern-chernovite; Sch-scheelite; Urn-uraninite. The Cu signal is from the TEM grid.</p>
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<p>HAADF STEM images (<b>a</b>–<b>m</b>) and STEM-EDS spectra (to the right; as marked) showing mineral inclusions in silician magnetite from the eastern transect (foils #3–5). Textures in silician magnetite displaying banding and overprint by vein fluorite in (<b>a</b>), mottled blebs with actinolite (Act) and Si-Fe-nanoprecipitates (Si–Mt) in (<b>b</b>), and difference in sizes and orientation between Act and Si-Mt in (<b>c</b>). (<b>d</b>) complex assemblage in one of the coarsest inclusion clots (foil #3) showing an eclectic assemblage with rutile (Rt), ilmenite (?, Ilm), chlorite (Chl), quartz (Qz) indicative of inherited associations from a precursor magnetite of magmatic origin (?). (<b>e</b>) Coarser Si–Mt bleb with a rod of calcite (Cal). (<b>f</b>) One of the largest Act inclusions with internal zoning most likely due to Fe/Mg variation. Note the inclusions is not associated with Si–Fe-nanoprecipitates. (<b>g</b>–<b>i</b>) Composite associations of epidote and carbonates along arrays of Si-Mt. The hole in (<b>g</b>) is produced by FIB milling. (<b>j</b>) One of the coarsest SiO<sub>2</sub> inclusions superimposed by strips of Si-Mt (dashed line). It is not clear if these are amorphous or crystalline (Qz), could not obtain reliable SAEDs from these inclusions. (k–m) Close-up images showing details of some of the rarer inclusions. Note the layered structure of Chl in (k), the rhombus-like shape of carbonate (Carb) and sphalerite in (l) and (m), respectively. The Cu signal on the spectra is from the TEM grids.</p>
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<p>(<b>a</b>,<b>b</b>) High-resolution HAADF STEM images showing stacking intergrowths between calcic clinopyroxene and amphibole on [011] zone axis (inclusion from <a href="#app1-minerals-09-00311" class="html-app">Supplementary Material Figure S4</a>, foil #4). (<b>c</b>) Fast Fourier Transform (FFT) of image in (<b>a</b>) showing diopside and actinolite on [011] zone axis. Note the satellite reflections along <span class="html-italic">a*</span> (yellow arrow) corresponding to the amphibole. The two phases have comparable angles at 76° and 74°, respectively, between the lattice vectors <math display="inline"><semantics> <mrow> <mrow> <mo>(</mo> <mrow> <mn>11</mn> <mover accent="true"> <mn>1</mn> <mo>¯</mo> </mover> </mrow> <mo>)</mo> </mrow> </mrow> </semantics></math>* and <span class="html-italic">a</span>*. (<b>d</b>–<b>f</b>) Images and crystal structures corresponding to diopside and actinolite on [011] zone axis. Bright atoms correspond to cations with denser packing on <math display="inline"><semantics> <mrow> <mrow> <mo>(</mo> <mrow> <mn>11</mn> <mover accent="true"> <mn>1</mn> <mo>¯</mo> </mover> </mrow> <mo>)</mo> </mrow> </mrow> </semantics></math> for the amphibole (<b>e</b> and right on <b>f</b>) relative to the clinopyroxene (<b>d</b> and left on <b>f</b>).</p>
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<p>HAADF STEM (<b>a</b>,<b>b</b>) images and FFTs (<b>c</b>,<b>d</b>) showing epidote (Ep) on [011] and [212] zone axes (inclusion in <a href="#minerals-09-00311-f014" class="html-fig">Figure 14</a>h; foil #4). Note correlation between irregular bands on (<b>a</b>), satellite reflections (arrowed) and streaks along <span class="html-italic">a*</span> indicating stacking disorder. (<b>c</b>) High-resolution image showing the main crystal structural motifs on [011] epidote. (<b>f</b>) Crystal structure models of epidote as polyhedral (up) and atom filling (down) on [011} zone axis. Note correspondence between ring structure and main motifs on (<b>e</b>). The smaller modules linking the rings are irregularly flipped (yellow and red overlays), indicating disorder on <span class="html-italic">a</span>. (<b>g</b>,<b>h</b>) Image and STEM simulation of epidote on [011]. (<b>i</b>) Image and STEM simulation (inset) of epidote on [212] zone axis.</p>
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<p>(<b>a</b>–<b>f</b>) High-resolution HAADF STEM images and FFTs (insets) of magnetite on zone axes as marked on each image. Note linear defects in image (<b>d</b>), the micro-twinning in image (<b>e</b>) and nanoscale domains with misorientation in image (<b>f</b>) indicating lattice strain close to inclusions.</p>
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<p>Assessment of HAADF STEM images for magnetite on three main zone axes as marked. Each zone axis is illustrated along the a to c columns representing, from top to bottom: SAED, HAADF image, STEM simulation and crystal model. The presence of forbidden (002) reflections for space group <span class="html-italic">Fd</span>3<span class="html-italic">m</span>, albeit weaker than (004), is observed on SAEDs for <math display="inline"><semantics> <mrow> <mrow> <mo>[</mo> <mrow> <mn>1</mn> <mover accent="true"> <mn>1</mn> <mo>¯</mo> </mover> <mn>0</mn> </mrow> <mo>]</mo> </mrow> </mrow> </semantics></math> zone axis (yellow; a). Such reflections cannot be attributed to double diffraction since they are also present on the FFTs obtained from HAADF STEM images but could be associated with lower symmetry, for example, space group <math display="inline"><semantics> <mrow> <mi>F</mi> <mover accent="true"> <mn>4</mn> <mo>¯</mo> </mover> <mn>3</mn> <mi>m</mi> </mrow> </semantics></math> instead of <span class="html-italic">Fd</span>3<span class="html-italic">m</span> (<a href="#minerals-09-00311-t001" class="html-table">Table 1</a>; [<a href="#B3-minerals-09-00311" class="html-bibr">3</a>]). Images of magnetite on both <math display="inline"><semantics> <mrow> <mrow> <mo>[</mo> <mrow> <mn>1</mn> <mover accent="true"> <mn>1</mn> <mo>¯</mo> </mover> <mn>0</mn> </mrow> <mo>]</mo> </mrow> </mrow> </semantics></math> and <math display="inline"><semantics> <mrow> <mrow> <mo>[</mo> <mrow> <mover accent="true"> <mn>1</mn> <mo>¯</mo> </mover> <mn>11</mn> </mrow> <mo>]</mo> </mrow> </mrow> </semantics></math> zone axes display a rhomb-shaped motif with brighter atoms surrounded by 10 and 6 less brighter atoms, respectively (<b>a</b>,<b>b</b>). The image for <math display="inline"><semantics> <mrow> <mrow> <mo>[</mo> <mrow> <mn>11</mn> <mover accent="true"> <mn>2</mn> <mo>¯</mo> </mover> </mrow> <mo>]</mo> </mrow> </mrow> </semantics></math> zone axis shows brighter atoms at the corner of a rectangular pattern and also the presence of less bright atoms forming a rectangular subset at half-distance to the main pattern (<b>c</b>). The corresponding crystal structure models show that the bright atoms coincide with positions of higher density atoms along the direction of view, corresponding, in magnetite, to an overlap between two Fe atoms with either the same coordination, or with both types of coordination, tetrahedral (T) and rhombohedral (M). STEM simulation for the <math display="inline"><semantics> <mrow> <mrow> <mo>[</mo> <mrow> <mn>1</mn> <mover accent="true"> <mn>1</mn> <mo>¯</mo> </mover> <mn>0</mn> </mrow> <mo>]</mo> </mrow> </mrow> </semantics></math> image, however, requires a setting of the <span class="html-italic">Fd</span>3<span class="html-italic">m</span> cell with atom coordinates at origin 1 as given by Yamanaka et al. [<a href="#B16-minerals-09-00311" class="html-bibr">16</a>] rather than origin 2, the conventional setting for magnetite and other “2-3”-type spinels (<a href="#minerals-09-00311-t001" class="html-table">Table 1</a>). Simulation using the <math display="inline"><semantics> <mrow> <mi>F</mi> <mover accent="true"> <mn>4</mn> <mo>¯</mo> </mover> <mn>3</mn> <mi>m</mi> </mrow> </semantics></math> space group of lower symmetry does not give such a good fit as <span class="html-italic">Fd</span>3<span class="html-italic">m</span> cell with atom coordinates at origin 1.</p>
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<p>HAADF STEM images (<b>a</b>–<b>g</b>) and EDS STEM spectra (to the right) representing Si–Fe-nanoprecipitates with bleb morphology. (<b>a</b>–<b>c</b>) Variable morphology of bleb precipitates from smallest, rounded NPs in (<b>a</b>) to sub-rounded and short-prismatic in (<b>b</b>,<b>c</b>). (<b>d</b>–<b>f</b>) Details of boundaries between the precipitate and host magnetite (from areas as highlighted in (<b>a</b>)) on zone axes as marked showing epitaxial relationships between the two phases. (<b>g</b>) High-resolution image of the bleb precipitate (from area marked in <b>f</b>) showing the same atomic arrangement as magnetite on <math display="inline"><semantics> <mrow> <mrow> <mo>[</mo> <mrow> <mn>1</mn> <mover accent="true"> <mn>1</mn> <mo>¯</mo> </mover> <mn>0</mn> </mrow> <mo>]</mo> </mrow> </mrow> </semantics></math> zone axis. Note magnetite outside the blebs is Si-free and the variation between Si/Fe ratio from low to high) in spectra to the right. The Cu signal on the spectra is from the TEM grids.</p>
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<p>HAADF STEM images showing the two types of Si–Fe-nanoprecipitates (foil #5) on <math display="inline"><semantics> <mrow> <mrow> <mo>[</mo> <mrow> <mn>1</mn> <mover accent="true"> <mn>1</mn> <mo>¯</mo> </mover> <mn>0</mn> </mrow> <mo>]</mo> </mrow> </mrow> </semantics></math> zone axis in magnetite (Mt). (<b>a</b>) Overlap between Si–Fe-nanoprecipitates as narrow strips (2d<sub>111</sub> Si–Mt) and blebs (Si–Mt). Satellite reflections on FFT (arrowed, inset) are concordant with interpretation of maghemite superstructure [<a href="#B21-minerals-09-00311" class="html-bibr">21</a>]. (<b>b</b>) Strip nanoprecipitates occur along conjugate <span class="html-italic">d</span><sub>111</sub> and <math display="inline"><semantics> <mrow> <msub> <mi>d</mi> <mrow> <mn>11</mn> <mover accent="true"> <mn>1</mn> <mo>¯</mo> </mover> </mrow> </msub> </mrow> </semantics></math> directions in magnetite with 2<span class="html-italic">n</span> (<span class="html-italic">n</span> = 1,2,...) widths. (<b>c</b>,<b>d</b>) Nano-twins and -misorientation domains (dashed line) in the bleb precipitates containing the 2<span class="html-italic">n</span>.<span class="html-italic">d</span><sub>111</sub> strips.</p>
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<p>(<b>a</b>) HAADF STEM image (left) and profile (below) along orientation as marked on the crystal model (right) showing variation of HAADF signal intensity across the 2<span class="html-italic">d</span><sub>111</sub> nanoprecipitate (Si–Mt) in magnetite (Mt). This is compatible with vacancies in both T and M sites as suggested by DFT calculations for γ-Fe<sub>1.5</sub>SiO<sub>4</sub> [<a href="#B29-minerals-09-00311" class="html-bibr">29</a>]. (<b>b</b>,<b>c</b>) Detail of Si–Mt <math display="inline"><semantics> <mrow> <msub> <mi>bleb</mi> <mrow> <mo>[</mo> <mrow> <mover accent="true"> <mn>1</mn> <mo>¯</mo> </mover> <mn>11</mn> </mrow> <mo>]</mo> </mrow> </msub> </mrow> </semantics></math> and 2<span class="html-italic">d</span><sub>111</sub> <math display="inline"><semantics> <mrow> <msub> <mi>strip</mi> <mrow> <mo>[</mo> <mrow> <mn>1</mn> <mover accent="true"> <mn>1</mn> <mo>¯</mo> </mover> <mn>0</mn> </mrow> <mo>]</mo> </mrow> </msub> </mrow> </semantics></math> with STEM simulations (using γ-Fe<sub>1.5</sub>SiO<sub>4</sub> [<a href="#B29-minerals-09-00311" class="html-bibr">29</a>]), shown underneath in (<b>d</b>,<b>e</b>) showing a relative good fit.</p>
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23 pages, 6886 KiB  
Article
The Role of Organic Matter on Uranium Precipitation in Zoovch Ovoo, Mongolia
by Dimitrios Rallakis, Raymond Michels, Marc Brouand, Olivier Parize and Michel Cathelineau
Minerals 2019, 9(5), 310; https://doi.org/10.3390/min9050310 - 18 May 2019
Cited by 36 | Viewed by 5502
Abstract
The Zoovch Ovoo uranium deposit is located in East Gobi Basin in Mongolia. It is hosted in the Sainshand Formation, a Late Cretaceous siliciclastic reservoir, in the lower part of the post-rift infilling of the Mesozoic East Gobi Basin. The Sainshand Formation corresponds [...] Read more.
The Zoovch Ovoo uranium deposit is located in East Gobi Basin in Mongolia. It is hosted in the Sainshand Formation, a Late Cretaceous siliciclastic reservoir, in the lower part of the post-rift infilling of the Mesozoic East Gobi Basin. The Sainshand Formation corresponds to poorly consolidated medium-grained sandy intervals and clay layers deposited in fluvial-lacustrine settings. The uranium deposit is confined within a 60- to 80-m-thick siliciclastic reservoir inside aquifer driven systems, assimilated to roll-fronts. As assessed by vitrinite reflectance (%Rr < 0.4) and molecular geochemistry, the formation has never experienced significant thermal maturation. Detrital organic matter (type III and IV kerogens) is abundant in the Zoovch Ovoo depocenter. In this framework, uranium occurs as: (i) U-rich macerals without any distinguishable U-phase under SEM observation, containing up to 40 wt % U; (ii) U expressed as UO2 at the rims of large (several millimeters) macerals and (iii) U oxides partially to entirely replacing macerals, while preserving the inherited plant texture. Thus, uranium is accumulated gradually in the macerals through an organic carbon–uranium epigenization process, in respect to the maceral’s chemistry and permeability. Most macerals are rich in S and, to a lesser extent, in Fe. Frequently, Fe and S contents do not fit the stoichiometry of pyrite, although pyrite also occurs as small inclusions within the macerals. The organic matter appears thus as a major redox trap for uranium in this kind of geological setting. Full article
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Figure 1

Figure 1
<p>Location map of the study area and depositional model of the Zoovch Ovoo depocenter in the Cenomanian [<a href="#B26-minerals-09-00310" class="html-bibr">26</a>]. The sedimentary depositional systems are fluvio-lacustrine with alluvial fans, braided rivers and deltas. The sands of the Sainshand Formation host uranium mineralization.</p>
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<p>Abbreviations: GR (granules), CVC (coarse to very coarse sand), VC (very coarse sand), C (coarse sand), MC (medium coarse sand), Fsp (feldspar), Qz (quartz), Py (pyrite). (<b>A</b>) Drill-core recovered from 123.20 m depth targeting the U reservoir, Sainshand Formation; Gamma ray spectroscopy measurements, presented in blue, were performed in contact with the rock unit with a step distance of 10 cm, expressed in c/s (counts per second). (<b>B</b>) Two upward-fining sequences are distinguished, starting with granules and ending with medium coarse sand in both cases. The sequences are separated by an erosional surface, followed by coarse deposits containing intraclasts of silty clay and organic matter. (<b>C</b>) A zoomed image of (B) highlighting the areas of organic matter and higher uranium concentration. The intense bright yellow color reveals an oxidation of U ores in contact with air. Uranium concentration is the highest at the contact with the erosional surface. (<b>D</b>) Organic matter particle containing 7–13 wt % uranium, without mineral expression. (<b>E</b>) Silicate grains coated by phospho-coffinite intermixed with clays. (D, E images under SEM/back-scattered electron mode.)</p>
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<p>Presentation of the organic particles (macerals) recognized in the Zoovch Ovoo reservoir. (<b>A</b>–<b>C</b>) Polished blocks under oil-immersion indicating telohuminite, fusinite, funginite and finally semifusinite. (<b>D</b>) Fluorescence mode on thin section indicating cutinite. (<b>E</b>,<b>F</b>) Plain light on thin section showing solid bitumen penetrating and concentrated along the rims and fractures of a porous feldspar.</p>
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<p>(<b>A</b>) SEM images of uraninite (U spheres) associated with organic matter and (<b>B</b>) Ca-P-coffinite (U flakes) associated with pyrite. Aggregates of both U minerals are also indicated. (<b>C</b>) Binary plot of the U + Ca versus Si in at% oxide, indicating the stoichiometric U-mineral domains of uraninite, phosphorus-enriched uraninite, coffinite and phospho-coffinite, used as references (data from EPMA).</p>
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<p>Organic matter relationships to U, Fe, S and Ti. The macerals corpohuminite, texto-ulminite and funginite are locally associated to framboidal pyrite (<b>A</b>) under reflected light and (<b>B</b>) in SEM mode. (<b>C</b>–<b>F)</b> The SEM-EDS maps for S, Fe, U and Ti suggest that sulfur and iron are present in all particles, showing a preference for corpohuminite, then for texto-ulminite and finally for funginite. Likewise, the uranium concentration follows the same preference pattern. In some cases, certain corpohuminite particles are particularly enriched in U. Titanium is mainly dispersed at low concentrations in macerals, but is also contained as microsized Ti-oxides.</p>
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<p>The profiles G-H and I-J presented in <a href="#minerals-09-00310-f005" class="html-fig">Figure 5</a>. Profile G-H (<b>A</b>) indicates that the composition of uranium in corpohuminite is more than double that of the texto-ulminite background, reaching 19 wt %. Sulfur and iron concentrations are not perfectly correlated and several datapoints show antagonistic behavior. Profile I-J (<b>B</b>) was performed on a single corpohuminite particle and shows that uranium concentration is between 16 and 22 wt %. Sulfur and iron are sub-constant and correlated, which could be related to pyrite nanocrystal inclusions. Titanium is sub-constant and around 1 wt % for both profiles.</p>
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<p>S–Fe binary plot, illustrating profiles G-H and I-J presented in <a href="#minerals-09-00310-f005" class="html-fig">Figure 5</a>. Reference lines refer to the stoichiometry of FeS<sub>2</sub> (pyrite) and FeS (i.e., mackinawite).</p>
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<p>(<b>A</b>) View of a well-preserved root structure (telohuminite) typical of the organic matter contained in the Zoovch Ovoo sediments and the associated X-Ray microfluorescence maps. (<b>B</b>) Zoomed image of a part of the root highlighting the EPMA profile (A-B) for U, Fe, S, Si and Ti, respectively. (<b>C</b>) According to the EPMA profile of A-B performed on the root structure (texto-ulminite), S and Fe are always present inside the particle; however, their stoichiometry does not indicate pyrite. Titanium is also present in minute quantities (&lt;1 wt %). Uranium concentration fluctuates between 10 and 19 wt %.</p>
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<p>S-Fe wt % composition plot derived from the EPMA measurements along profiles A-B and C-D presented in <a href="#minerals-09-00310-f008" class="html-fig">Figure 8</a>. Profile A-B was performed on the internal part of the root structure, whereas C-D was performed in the external part. For the internal part, the data points (in blue) distribute close to the pyrite line, with a slight relative S enrichment. For the external part, most data points in red indicate significant Fe enrichment at constant S concentration.</p>
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<p>Telohuminite particle and the associated X-Ray microfluorescence maps. (<b>A</b>) Overview of the particle under reflected light, showing the EPMA profile position E-F for U, Fe, S and Ti, respectively, and a zoomed image showing the presence of pyrite. (<b>B</b>–<b>D</b>) The XRF maps for U, Fe and S. Uranium is highly concentrated around the rims and is much less abundant towards the interior of the particle. (<b>E</b>) BSE image showing uranium oxide precipitate (in this case UO<sub>2</sub>) at the rim of a telohuminite particle. (<b>F</b>) The same association in higher magnification, coupled with an EPMA measurements profile (E-F/10 points), from the rim to the interior of the particle. (<b>G</b>) Uranium cement inside framboidal pyrite. (<b>H</b>) Uraninite precipitation along a fracture in the internal part of a telovitrinite/telohuminite particle. Uranium concentration decreases progressively from 74.6 to 2.5 wt % as a function of increasing distance from the fracture.</p>
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<p>Profile E-F was performed on a telohuminite particle with uranium expressed as UO<sub>2</sub> at the rims. U concentration starts at 25 wt % at the rim. As shown in <a href="#minerals-09-00310-f010" class="html-fig">Figure 10</a>F, the first point was measured on a part of the particle where UO<sub>2</sub> is not expressed as uraninite. The next spot was measured on a part where U is expressed as uraninite, hence the concentration is raised to 41 wt %. Afterwards the U concentrations decrease proportionally as a function of increasing distance from the particle rim. The Fe and S concentrations are at 0.1 and 0.5 wt %, respectively (with a detection limit of 0.1 wt %), as shown in the upscaled part of the graph. Titanium concentration increases from the rim towards the interior of the particle, from 0.26 to 0.75 wt %.</p>
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<p>EPMA S and Fe concentration measurements of profile E-F performed on a telohuminite particle (ulminite). Both S and Fe are always below 1 wt %, with a slight enrichment in S. Reference lines refer to the stoichiometry of FeS<sub>2</sub> (pyrite) and FeS (i.e., mackinawite).</p>
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<p>Examples of organic matter replaced by uranium, which is expressed in oxide form at the rims of the organic particle with a composition close to UO<sub>2</sub> stoichiometry (as measured under SEM-EDS mode). (<b>A</b>) Telohuminite particle at a size range of 400 μm, with the textural characteristics (cell walls and desiccation cracks) still visible. (<b>B</b>) Elongated telohuminite particle composed of smaller epigenetized corpohuminite particles. (<b>C</b>) A fully uranium-cemented organic particle associated with framboidal pyrite showing features of corrosion and uranium replacement. The cell walls of the particle are preserved even after replacement. The particle is surrounded by U-rich clay matrix. (<b>D</b>) Collapsed cell wall structures (attrinite) surrounding a large euhedral pyrite crystal.</p>
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<p>Graphical representation of organic matter epigenization by uranium. Uranium is carried in solution as U(VI) until it encounters a reducing agent and becomes U(IV). When uranium is reduced in the presence of macerals, it can be concentrated around internal fractures or at the rims of the maceral as uranium oxide. There is a linear decreasing concentration gradient from the rim where U is expressed as oxide towards the interior where no mineral form is visible. Eventually the replacement process keeps up, leading primarily to partial and progressively to full replacement (i.e., organic particles with up to 78 wt % U). One of the main aspects of this replacement process is that the fully replaced organic particle maintains its textural characteristics, although organic carbon is in very small quantities or no longer present.</p>
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26 pages, 5419 KiB  
Article
Geochemical Characteristics of A-Type Granite near the Hongyan Cu-Polymetallic Deposit in the Eastern Hegenshan-Heihe Suture Zone, NE China: Implications for Petrogenesis, Mineralization and Tectonic Setting
by Chen Mao, Xinbiao Lü and Chao Chen
Minerals 2019, 9(5), 309; https://doi.org/10.3390/min9050309 - 18 May 2019
Cited by 8 | Viewed by 5984
Abstract
In the eastern Hegenshan-Heihe suture zone (HHSZ) of NE China, Cu-Au hydrothermal mineralization at the newly discovered Hongyan deposit is associated with the Shanshenfu alkali-feldspar granite (SAFG). Zircon U-Pb dating showed that the inner phase and outer phase of the SAFG were formed [...] Read more.
In the eastern Hegenshan-Heihe suture zone (HHSZ) of NE China, Cu-Au hydrothermal mineralization at the newly discovered Hongyan deposit is associated with the Shanshenfu alkali-feldspar granite (SAFG). Zircon U-Pb dating showed that the inner phase and outer phase of the SAFG were formed at 298.8 ± 1.0 Ma and 298.5 ± 1.0 Ma, respectively. Whole rock geochemistry suggests that the SAFG can be classified as an A-type granite. Halfnium isotopes and trace elements in zircon suggest that the SAFG has high Ti-in-zircon crystallization temperature (721–990 °C), high magmatic oxygen fugacity and largely positive εHf(t) (from +6.0 to +9.9). We proposed that the SAFG was derived from crustal assimilation and fractional crystallization of juvenile crust metasomatized by subducting oceanic crust. The high oxygen fugacity of the SAFG suggests the chalcophile elements (e.g., Cu, Au) remained in the magma as opposed to the magma source. An arc-related juvenile source favors enrichment of Cu and Au in the resulting magma. Combined, these magmatic characteristics suggest Cu ± Au exploration potential for magmatic-hydrothermal mineralization related to the SAFG, and similar bodies along the HHSZ. The results obtained combined with regional geological background suggest that the Permian A-type granites and related mineralization along the HHSZ were formed in a post-collisional slab break-off process. Full article
(This article belongs to the Special Issue Polymetallic Metallogenic System)
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Graphical abstract

Graphical abstract
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<p>(<b>a</b>) Geotectonic division of China (after Mao et al. [<a href="#B33-minerals-09-00309" class="html-bibr">33</a>]); (<b>b</b>) tectonic subdivisions of northeast China (after Wu et al. [<a href="#B34-minerals-09-00309" class="html-bibr">34</a>]); (<b>c</b>) regional geological map of the northern Xing’an Block (after Gao et al. [<a href="#B35-minerals-09-00309" class="html-bibr">35</a>]).</p>
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<p>Geological sketch of the Hongyan Cu-polymetallic deposit [<a href="#B46-minerals-09-00309" class="html-bibr">46</a>].</p>
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<p>Hand specimen photos of the Shanshenfu alkali-feldspar granite and Stage I–III mineralization from the Hongyan Cu-polymetallic deposit. (<b>a</b>) Medium-grained alkali-feldspar granite (inner phase); (<b>b</b>) fine-grained alkali-feldspar granite (outer phase); (<b>c</b>) Stage I K-feldspar–quartz–pyrite vein; (<b>d</b>) Stage II disseminated chalcopyrite–pyrite–quartz mineralization; (<b>e</b>) Stage II quartz–pyrite–chalcopyrite–bornite vein; (<b>f</b>) Stage II quartz–pyrite–bornite vein; (<b>g</b>) Stage II quartz–bornite–galena vein; (<b>h</b>) Stage III quartz–calcite vein; (<b>i</b>) Stage III quartz–calcite–fluorite vein. Qz—quartz, Kf—K-feldspar, Py—pyrite, Ccp—chalcopyrite, Bn—bornite, Gn—galena, Cc—calcite, Fl—fluorite.</p>
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<p>Transmitted light (<b>a</b>–<b>c</b>) and reflected light (<b>d</b>–<b>i</b>) microphotographs of the Shanshenfu alkali-feldspar granite, hydrothermal alteration features and metal mineral assemblages. (<b>a</b>) Medium-grained alkali-feldspar granite (inner phase); (<b>b</b>) fine-grained alkali-feldspar granite (outer phase); (<b>c</b>) widespread alteration of quartz, sericite and epidote in the granite; (<b>d</b>) chalcopyrite and magnetite in fine-grained alkali-feldspar granite (outer phase); (<b>e</b>) pyrite and magnetite in Stage I K-feldspar–quartz–pyrite vein; (<b>f</b>) chalcopyrite intergrown with pyrite replaced by the covellite in Stage II quartz vein; (<b>g</b>) chalcopyrite replace bornite in Stage II quartz vein; (<b>h</b>) chalcopyrite intergrown with galena in Stage II quartz vein; (<b>i</b>) visible gold intergrown with galena in Stage II quartz vein. Py—pyrite, Ccp—chalcopyrite, Bn—bornite, Gn—galena, Mt—magnetite, Cv—covellite, Au—native gold, Qz—quartz, Per—Perthite, Mus—Muscovite, Hbl—Hornblende, Ser—sericite, Ep—epidote.</p>
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<p>Paragenetic sequence for the Hongyan Cu-polymetallic deposit.</p>
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<p>Zircon cathodoluminescence (CL) images and zircon U-Pb concordant curves for SF-1 from the inner phase (<b>a</b>,<b>c</b>) and SF-5 from the outer phase (<b>b</b>,<b>d</b>) of the Shanshenfu alkali-feldspar granite.</p>
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<p>Chondrite-normalized REE patterns for the zircons from the Shanshenfu alkali-feldspar granite. (<b>a</b>) SF-1 (inner phase); (<b>b</b>) SF-5 (outer phase). Normalization values for chondrite are from McDonough and Sun [<a href="#B58-minerals-09-00309" class="html-bibr">58</a>].</p>
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<p>(<b>a</b>) QAP ternary diagram [<a href="#B64-minerals-09-00309" class="html-bibr">64</a>]; (<b>b</b>) SiO<sub>2</sub> vs. K<sub>2</sub>O diagram of the Shanshenfu alkali-feldspar granite [<a href="#B65-minerals-09-00309" class="html-bibr">65</a>]; (<b>c</b>) A/NK vs. A/CNK diagram, where A/NK = Al<sub>2</sub>O<sub>3</sub>/(Na<sub>2</sub>O + K<sub>2</sub>O) and A/CNK = Al<sub>2</sub>O<sub>3</sub>/(CaO + Na<sub>2</sub>O + K<sub>2</sub>O) (all oxides on molar basis).</p>
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<p>(<b>a</b>) Primitive mantle-normalized trace element diagram; (<b>b</b>) chondrite-normalized REE pattern. Normalization values are from Sun and McDonough [<a href="#B66-minerals-09-00309" class="html-bibr">66</a>].</p>
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<p>(<b>a</b>) K<sub>2</sub>O + Na<sub>2</sub>O vs. 10,000 Ga/Al discrimination diagram of Whalen et al. [<a href="#B67-minerals-09-00309" class="html-bibr">67</a>]. I, S and M—I-, S- and M-type granites; (<b>b</b>) Y vs. Nb tectonic discrimination diagram of Pearce et al. [<a href="#B68-minerals-09-00309" class="html-bibr">68</a>]. VAG—volcanic arc granites, WPG—within plate granites, COLG—collisional granites, ORG—oceanic ridge granites; (<b>c</b>) magmatic oxygen fugacity (<span class="html-italic">f</span>o<sub>2</sub>) of the Shanshenfu alkali-feldspar granite, MH, FMQ and IW curves are from Trail et al. [<a href="#B17-minerals-09-00309" class="html-bibr">17</a>].</p>
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<p>(<b>a</b>,<b>b</b>) Compilation diagram of ε<sub>Hf</sub> (t) vs. U-Pb age of the Shanshenfu alkali-feldspar granite. The Hf isotopic evolution line of the Archean average crust with <sup>176</sup>Lu/<sup>177</sup>Hf = 0.015 is after Griffin et al. [<a href="#B62-minerals-09-00309" class="html-bibr">62</a>]. The fields for Carboniferous arc intrusions from northern inner Mongolia, early Permian A-type granites from central inner Mongolia and late Permian to early Triassic post-orogenic melts from northern Liaoning are from Chen et al. [<a href="#B36-minerals-09-00309" class="html-bibr">36</a>], Zhang et al. [<a href="#B79-minerals-09-00309" class="html-bibr">79</a>] and Zhang et al. [<a href="#B90-minerals-09-00309" class="html-bibr">90</a>], respectively. (<b>c</b>,<b>d</b>) U/Yb ratio vs. Y and Hf content diagrams of Grimes et al. [<a href="#B22-minerals-09-00309" class="html-bibr">22</a>] to discriminate between continental and oceanic crust zircon. Heavy lines indicate the lower limit of zircons from continental crust.</p>
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<p>(<b>a</b>) Nb-Y-Ga ternary diagram of Eby [<a href="#B2-minerals-09-00309" class="html-bibr">2</a>]; (<b>b</b>) Y + Nb vs. Rb plot of Pearce et al. [<a href="#B68-minerals-09-00309" class="html-bibr">68</a>].</p>
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17 pages, 4396 KiB  
Article
Selective Separation of Arsenic from Lead Smelter Flue Dust by Alkaline Pressure Oxidative Leaching
by Wei Liu, Zihan Li, Junwei Han, Wenhua Li, Xun Wang, Na Wang and Wenqing Qin
Minerals 2019, 9(5), 308; https://doi.org/10.3390/min9050308 - 18 May 2019
Cited by 18 | Viewed by 4699
Abstract
This study investigated the feasibility of using an alkaline pressure oxidative leaching process to treat lead smelter flue dust containing extremely high levels of arsenic with the aim of achieving the selective separation of arsenic. The effects of different parameters including NaOH concentration, [...] Read more.
This study investigated the feasibility of using an alkaline pressure oxidative leaching process to treat lead smelter flue dust containing extremely high levels of arsenic with the aim of achieving the selective separation of arsenic. The effects of different parameters including NaOH concentration, oxygen partial pressure, liquid-to-solid ratio, temperature, and time for the extraction of arsenic were investigated based on thermodynamic calculation. The results indicated that the leaching efficiency of arsenic reached 95.6% under the optimized leaching conditions: 80 g/L of NaOH concentration, 1.0 MPa of oxygen partial pressure, 8 mL/g of liquid-to-solid ratio, 120 °C of temperature, 2.0 h of time. Meanwhile, the leaching efficiencies of antimony, cadmium, indium and lead were less than 4.0%, basically achieving the selective separation of arsenic from lead smelter flue dust. More than 99.0% of arsenic was converted into calcium arsenate product and thus separated from the leach solution by a causticization process with CaO after other metal impurities were removed from the solution with the addition of Na2S. The optimized causticization conditions were established as: 4.0 of the mole ratio of calcium to arsenic, temperature of 80 °C, reaction time of 2.0 h. The resulting product of calcium arsenate may be used for producing metallic arsenic. Full article
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<p>XRD pattern of the high-arsenic dust.</p>
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<p>SEM images of the high-arsenic dust at 1000 times magnification (<b>a</b>), 3000 times magnification (<b>b</b>), and 10,000 times magnification (<b>c</b>); and EDS pattern with the corresponding area (<b>d</b>).</p>
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<p>The experimental schematic diagram of the proposed process.</p>
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<p>Eh–pH diagram of As–H<sub>2</sub>O system at 120 °C.</p>
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<p>Effects of different APOL conditions on the extractions of As and Sb: (<b>a</b>) NaOH concentration (120 °C, L/S = 8 mL/g, 2.0 h, pO<sub>2</sub> = 1.0 MPa, 250 rpm), (<b>b</b>) oxygen partial pressure ([NaOH] = 80 g/L, <span class="html-italic">L</span>/<span class="html-italic">S</span> = 8 mL/g, 2.0 h, 120 °C, 250 rpm), (<b>c</b>) liquid-to-solid ratio ([NaOH] = 80 g/L, 120 °C, 2.0 h, pO<sub>2</sub> = 1.0 MPa, 250 rpm), (<b>d</b>) leaching temperature ([NaOH] = 80 g/L, <span class="html-italic">L</span>/<span class="html-italic">S</span> = 8 mL/g, 2.0 h, pO<sub>2</sub> = 1.0 MPa, 250 rpm), (<b>e</b>) leaching time ([NaOH] = 80 g/L, <span class="html-italic">L</span>/<span class="html-italic">S</span> = 8 mL/g, 120 °C, pO<sub>2</sub> = 1.0 MPa, 250 rpm).</p>
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<p>XRD pattern of the leach residue from the APOL process.</p>
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<p>XRD pattern of the precipitate from the causticization process in air.</p>
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<p>Effects of different causticization conditions on the precipitation rate of As: (<b>a</b>) CaO dosage (80 °C, 1.0 h), (<b>b</b>) causticization temperature (Ca/As = 4, 1.0 h), (<b>c</b>) causticization time (Ca/As = 4, 80 °C).</p>
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<p>XRD pattern of the precipitate from the causticization process in vacuum.</p>
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<p>SEM images of the precipitate from the causticization process in vacuum at 3000 times magnification (<b>a</b>), 12,000 times magnification (<b>b</b>), and EDS patterns with corresponding areas at (<b>c</b>) and (<b>d</b>).</p>
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22 pages, 2389 KiB  
Article
A NanoSIMS 50 L Investigation into Improving the Precision and Accuracy of the 235U/238U Ratio Determination by Using the Molecular 235U16O and 238U16O Secondary Ions
by N. Alex Zirakparvar, Cole R. Hexel, Andrew J. Miskowiec, Julie B. Smith, Michael W. Ambrogio, Douglas C. Duckworth, Roger Kapsimalis and Brian W. Ticknor
Minerals 2019, 9(5), 307; https://doi.org/10.3390/min9050307 - 18 May 2019
Cited by 7 | Viewed by 3709
Abstract
A NanoSIMS 50 L was used to study the relationship between the 235U/238U atomic and 235U16O/238U16O molecular uranium isotope ratios determined from a variety of uranium compounds (UO2, UO2F [...] Read more.
A NanoSIMS 50 L was used to study the relationship between the 235U/238U atomic and 235U16O/238U16O molecular uranium isotope ratios determined from a variety of uranium compounds (UO2, UO2F2, UO3, UO2(NO3)2·6(H2O), and UF4) and silicates (NIST-610 glass and the Plesovice zircon reference materials, both containing µg/g uranium). Because there is typically a greater abundance of 235U16O+ and 238U16O+ molecular secondary ions than 235U+ and 238U+ atomic ions when uranium-bearing materials are sputtered with an oxygen primary ion beam, the goal was to understand whether use of 235U16O/238U16O has the potential for improved accuracy and precision when compared to the 235U/238U ratio. The UO2 and silicate reference materials showed the greatest potential for improved accuracy and precision through use of the 235U16O/238U16O ratio as compared to the 235U/238U ratio. For the UO2, which was investigated at a variety of primary beam currents, and the silicate reference materials, which were only investigated using a single primary beam current, this improvement was especially pronounced at low 235U+ count rates. In contrast, comparison of the 235U16O/238U16O ratio versus the 235U/238U ratio from the other uranium compounds clearly indicates that the 235U16O/238U16O ratio results in worse precision and accuracy. This behavior is based on the observation that the atomic (235U+ and 238U+) to molecular (235U16O+ and 238U16O+) secondary ion production rates remain internally consistent within the UO2 and silicate reference materials, whereas it is highly variable in the other uranium compounds. Efforts to understand the origin of this behavior suggest that irregular sample surface topography, and/or molecular interferences arising from the manner in which the UO2F2, UO3, UO2(NO3)2·6(H2O), and UF4 were prepared, may be a major contributing factor to the inconsistent relationship between the observed atomic and molecular secondary ion yields. Overall, the results suggest that for certain bulk compositions, use of the 235U16O/238U16O may be a viable approach to improving the precision and accuracy in situations where a relatively low 235U+ count rate is expected. Full article
(This article belongs to the Special Issue Nuclear Forensic Applications in Geoscience and Radiochemistry)
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<p>SEM images of two of the uranium compounds (UO<sub>2</sub> and UO<sub>2</sub>F<sub>2</sub>) on the epoxy mount, showing representative 200 pA analytical craters. (Note, craters were made before the analyses conducted in this study, and the mount containing these materials was further polished before NanoSIMS analysis).</p>
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<p>Plot of the percent uncertainty, calculated as 1σ associated with the average of the ratios observed at each cycle of data during each analysis, on the (<b>a</b>) <sup>235</sup>U/<sup>238</sup>U and (<b>b</b>) <sup>235</sup>U<sup>16</sup>O/<sup>238</sup>U<sup>16</sup>O ratios as a function of the total number of counts of (<b>a</b>) <sup>235</sup>U and (<b>b</b>) <sup>235</sup>U<sup>16</sup>O observed during each analysis of the UO<sub>2</sub> sphere’s polished cross section.</p>
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<p>Plot of each analysis’s (<b>a</b>) <sup>235</sup>U/<sup>238</sup>U and (<b>b</b>) <sup>235</sup>U<sup>16</sup>O/<sup>238</sup>U<sup>16</sup>O ratio and its associated 1σ uncertainty for the UO<sub>2</sub> sphere is shown relative to the solution MC-ICP-MS value (red line). Individual analyses are grouped according to the five primary beam currents (200 pA, 150 pA, 100 pA, 50 pA, and 20 pA) that were used to analyze the UO<sub>2</sub> sphere.</p>
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<p>For the UO<sub>2</sub> sphere, each analysis’s deviance in the (<b>a</b>) <sup>235</sup>U/<sup>238</sup>U and (<b>b</b>) <sup>235</sup>U<sup>16</sup>O/<sup>238</sup>U<sup>16</sup>O ratio relative to the solution MC-ICP-MS value (red line) is plotted as a function of the total number of counts of (<b>a</b>) <sup>235</sup>U and (<b>b</b>) <sup>235</sup>U<sup>16</sup>O observed during each analysis.</p>
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<p>Plot of each analysis’s (<b>a</b>) <sup>235</sup>U/<sup>238</sup>U and (<b>b</b>) <sup>235</sup>U<sup>16</sup>O/<sup>238</sup>U<sup>16</sup>O ratio and its associated 1σ uncertainty relative to the solution MC-ICP-MS values (red line) for the UO<sub>2</sub>F<sub>2</sub>.</p>
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<p>Plot of each analysis’s (<b>a</b>) <sup>235</sup>U/<sup>238</sup>U and (<b>b</b>) <sup>235</sup>U<sup>16</sup>O/<sup>238</sup>U<sup>16</sup>O ratio and its associated 1σ uncertainty relative to the solution MC-ICP-MS value (red line) for the and UO<sub>3</sub> analyzed using the 200 pA primary beam current.</p>
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<p>Plot of each analysis’s (<b>a</b>) <sup>235</sup>U/<sup>238</sup>U and (<b>b</b>) <sup>235</sup>U<sup>16</sup>O/<sup>238</sup>U<sup>16</sup>O ratio and its associated 1σ uncertainty, relative to the solution MC-ICP-MS value (red line), for the UF<sub>4</sub>.</p>
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<p>Plot of each analysis’s (<b>a</b>) <sup>235</sup>U/<sup>238</sup>U and (<b>b</b>) <sup>235</sup>U<sup>16</sup>O/<sup>238</sup>U<sup>16</sup>O ratio and its associated 1σ uncertainty relative to the solution MC-ICP-MS value (red line), for UO<sub>2</sub>(NO<sub>3</sub>)<sub>2</sub>·6(H<sub>2</sub>O) analyzed using the 200 pA primary beam.</p>
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<p>Plot of each analysis’s (<b>a</b>) <sup>235</sup>U/<sup>238</sup>U and (<b>b</b>) <sup>235</sup>U<sup>16</sup>O/<sup>238</sup>U<sup>16</sup>O ratio and its associated 1σ uncertainty, for the NIST-610 glass. The reference <sup>235</sup>U/<sup>238</sup>U ratios (red line) for the NIST-610 glass is the average LG-SIMS value reported in [<a href="#B22-minerals-09-00307" class="html-bibr">22</a>]. Uncertainty of the value in [<a href="#B22-minerals-09-00307" class="html-bibr">22</a>] is considerably lower than the NanoSIMS results and is therefore not shown here.</p>
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<p>Plot of each analysis’s (<b>a</b>) <sup>235</sup>U/<sup>238</sup>U and (<b>b</b>) <sup>235</sup>U<sup>16</sup>O/<sup>238</sup>U<sup>16</sup>O ratio and its associated 1σ uncertainty, for Plesovice zircon reference material analyzed using the 200 pA primary beam current and shown relative to the natural <sup>235</sup>U/<sup>238</sup>U of 0.00726 (red line) reported in [<a href="#B23-minerals-09-00307" class="html-bibr">23</a>]. Uncertainty of the value in [<a href="#B23-minerals-09-00307" class="html-bibr">23</a>] is considerably lower than the NanoSIMS results and is therefore not shown here.</p>
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<p>Comparison of <sup>235</sup>U/<sup>238</sup>U vs. <sup>235</sup>U<sup>16</sup>O/<sup>238</sup>U<sup>16</sup>O for UO<sub>2</sub> that was mounted in epoxy (<b>a</b>) as well as dispersed on a sticky carbon tab (<b>b</b>). Mass scans, from mass 248 to 258, acquired for both sample preparation approaches are shown as insets. While the <sup>238</sup>U<sup>12</sup>C peak is visible in both scans, the <sup>238</sup>U<sup>12</sup>C peak is ~1000 counts/second for the UO<sub>2</sub> dispersed on the sticky carbon tab whereas it is ~100 counts/second for the UO<sub>2</sub> mounted in epoxy. The <sup>235</sup>U/<sup>238</sup>U and <sup>235</sup>U<sup>16</sup>O/<sup>238</sup>U<sup>16</sup>O data used to construct these plots were collected in a separate session (March 2019) and can be found in their own section at the end of <a href="#app1-minerals-09-00307" class="html-app">Table S1</a>, while the mass scan data can be found in <a href="#app1-minerals-09-00307" class="html-app">Table S2</a>.</p>
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<p>Plot of each analysis’s uncertainty in the <sup>235</sup>U<sup>16</sup>O/<sup>238</sup>U<sup>16</sup>O ratio relative to uncertainty in the <sup>235</sup>U/<sup>238</sup>U ratio as a function of that analyses of average <sup>238</sup>U/<sup>238</sup>U<sup>16</sup>O ratio for the various uranium compounds and silicate materials examined in this study. Note the progression toward poorer precision of the <sup>235</sup>U<sup>16</sup>O/<sup>238</sup>U<sup>16</sup>O relative to the <sup>235</sup>U/<sup>238</sup>U ratio as the <sup>238</sup>U/<sup>238</sup>U<sup>16</sup>O ratio increases.</p>
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8 pages, 419 KiB  
Letter
Study of the Adhesion Mechanism of Acidithiobacillus ferrooxidans to Pyrite in Fresh and Saline Water
by Francisca San Martín and Claudio Aguilar
Minerals 2019, 9(5), 306; https://doi.org/10.3390/min9050306 - 17 May 2019
Cited by 4 | Viewed by 2845
Abstract
In the present work, the streaming potential of A. ferrooxidans and pyrite was measured in two environments: fresh and saline water (water with 35 g/L of NaCl) at different pH values. Also, attachment kinetics of A. ferrooxidans to pyrite was studied in fresh [...] Read more.
In the present work, the streaming potential of A. ferrooxidans and pyrite was measured in two environments: fresh and saline water (water with 35 g/L of NaCl) at different pH values. Also, attachment kinetics of A. ferrooxidans to pyrite was studied in fresh and saline water at pH 4. The results show that A. ferrooxidans and pyrite had lower streaming potentials (comparing absolute values) in saline water than in fresh water, indicating the compression in the electrical double layer caused by Cl and Na+ ions. It was also determined that the bacteria had a higher level of attachment to pyrite in fresh water than in saline water. The high ionic strength of saline water reduced the attractive force between A. ferrooxidans and pyrite, which in turn reduced bacterial attachment. Electrostatic interactions were determined to be mainly repulsive, since the bacteria and mineral had the same charge at pH 4. Despite this, the bacteria adhered to pyrite, indicating that hydrophobic attraction forces and Lifshitz–van der Waals interactions were stronger than electrostatic interactions, which caused the adhesion of A. ferrooxidans to pyrite. Full article
(This article belongs to the Special Issue Microorganisms–Minerals Interactions in Aquatic Environments)
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<p>Attachment kinetics of <span class="html-italic">A. ferrooxidans</span> to pyrite in fresh and saline water (35 g/L NaCl or 0.6 M). The controls were experiments without minerals (only bacteria and water).</p>
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<p>Streaming potential of <span class="html-italic">A. ferrooxidans</span> and pyrite in fresh water.</p>
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<p>Streaming potential of <span class="html-italic">A. ferrooxidans</span> and pyrite in saline water (35 g/L NaCl or 0.6 M).</p>
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22 pages, 18862 KiB  
Article
Sparse 3D Seismic Imaging in the Kylylahti Mine Area, Eastern Finland: Comparison of Time Versus Depth Approach
by Brij Singh, Michał Malinowski, Felix Hloušek, Emilia Koivisto, Suvi Heinonen, Olaf Hellwig, Stefan Buske, Michał Chamarczuk and Sanna Juurela
Minerals 2019, 9(5), 305; https://doi.org/10.3390/min9050305 - 17 May 2019
Cited by 25 | Viewed by 6028
Abstract
A 10.5 km2 3D seismic survey was acquired over the Kylylahti mine area (Outokumpu mineral district, eastern Finland) as a part of the COGITO-MIN (COst-effective Geophysical Imaging Techniques for supporting Ongoing MINeral exploration in Europe) project, which aimed at the development of [...] Read more.
A 10.5 km2 3D seismic survey was acquired over the Kylylahti mine area (Outokumpu mineral district, eastern Finland) as a part of the COGITO-MIN (COst-effective Geophysical Imaging Techniques for supporting Ongoing MINeral exploration in Europe) project, which aimed at the development of cost-effective geophysical imaging methods for mineral exploration. The cost-effectiveness in our case was related to the fact that an active-source 3D seismic survey was accomplished by using the receiver spread originally designed for a 3D passive survey. The 3D array recorded Vibroseis and dynamite shots from an active-source 2D seismic survey, from a vertical seismic profiling experiment survey, as well as some additional “random” Vibroseis and dynamite shots made to complement the 3D source distribution. The resulting 3D survey was characterized by irregular shooting geometry and relatively large receiver intervals (50 m). Using this dataset, we evaluate the effectiveness of the standard time-imaging approach (post-stack and pre-stack time migration) compared to depth imaging (standard and specialized Kirchhoff pre-stack depth migration, KPreSDM). Standard time-domain processing and imaging failed to convincingly portray the first ~1500 m of the subsurface, which was the primary interest of the survey. With a standard KPreSDM, we managed to obtain a good image of the base of the Kylylahti formation bordering the extent of the mineralization-hosting Outokumpu assemblage rocks, but otherwise the image was very noisy in the shallower section. The specialized KPreSDM approach (i.e., coherency-based Fresnel volume migration) resulted in a much cleaner image of the shallow, steeply dipping events, as well as some additional deeper reflectors, possibly representing repetition of the contact between the Outokumpu assemblage and the surrounding Kalevian metasediments at depth. Full article
(This article belongs to the Special Issue Seismic Methods in Mineral Exploration)
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<p>Location of the Kylylahti mine in the Outukumpu belt (top left) (Figure from “Bedrock of Finland—DigiKP Digital Map Database”; please see reference for full description [<a href="#B25-minerals-09-00305" class="html-bibr">25</a>]). Acquisition geometry of the COGITO-MIN 3D seismic survey (right panel). A-A’ is a cross-section through the Kylylahti deposit (bottom left) [<a href="#B26-minerals-09-00305" class="html-bibr">26</a>]. Yellow lines B-B’ and C-C’ mark a representative crossline and inline location, respectively, of the 3D seismic volume. This crossline and inline are used to showcase the imaging results. Labels show 2D profiles acquired within the same project (Line A and Line B).</p>
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<p>Comparison of shot gathers from a co-located dynamite and Vibroseis shot. Inset shows respective frequency spectra. (<b>a</b>) dynamite; (<b>b</b>) Vibroseis; (<b>c</b>) same as (<b>b</b>) but with full processing applied (without top mute), please see <a href="#minerals-09-00305-t002" class="html-table">Table 2</a>. Arrows point to some shallow and deep reflections. Note that the dynamite record was filtered to match the waveform of the Vibroseis record.</p>
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<p>Comparison of various time imaging approaches for crossline 1068 running along the ore zone (see <a href="#minerals-09-00305-f001" class="html-fig">Figure 1</a> for location). (<b>a</b>) PoSTM, (<b>b</b>) DMO followed by PoSTM, (<b>c</b>) pre-stack time migration (PreSTM) with final normal moveout (NMO) velocities, (<b>d</b>) PreSTM with post-DMO velocities. The known extent of the Kylylahti formation as modelled using borehole constraints by Boliden is shown in purple.</p>
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<p>Fence diagram showing time imaging results extracted from the PoSTM volume along inline 1073, crossline 1095 and a depth slice at 2350 m depth: (<b>a</b>) geobodies extracted from the maximum amplitude; (<b>b</b>) Kylylahti mineralization (in red) and the interpreted base of the Kylylahti formation (in purple) based on seismic data. Figure shows spatial extent of the increased, piece-wise continuous reflectivity characterizing the Kylylahti formation.</p>
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<p>Comparison of first-arrival traveltime tomography (FAT) velocity models and ray-density coverage. Depth slice at 150 m below the datum from: (<b>a</b>) P-wave velocity model built from raw picks; (<b>b</b>) P-wave velocity model built from picks corrected with refraction statics; (<b>c</b>) ray-density coverage map for (<b>a</b>); (<b>d</b>) ray-density coverage map for (<b>b</b>); inline 151 from: (<b>e</b>) P-wave velocity model shown in (<b>a</b>); (<b>f</b>) P-wave velocity model shown in (<b>b</b>); (<b>g</b>) ray-density for (<b>e</b>); (<b>h</b>) ray-density for (<b>f</b>). It can be observed that the model built from additional statics correction is smoother, has higher ray-density coverage and a greater ray extension in depth with respect to the model built from raw picks.</p>
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<p>Crossline along the ore zone from Kirchhoff pre-stack depth migration (KPreSDM) using the velocity model build with (<b>a</b>) raw picks; (<b>b</b>) picks corrected with refraction statics. Note the better focusing in (<b>b</b>) and the extent of the dipping reflector shown by red arrows.</p>
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<p>Crossline along the ore zone from the coherency-based Fresnel volume migration (CBFVM) run with 20 m vertical sampling using the velocity model build with (<b>a</b>) raw picks; (<b>b</b>) picks corrected with refraction statics. A semblance exponent p = 2 was used. Note: the velocity model built from FAT has the uniform sampling of 20 m in each direction.</p>
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<p>Crossline along the ore zone from the CBFVM run with 5 m vertical sampling using velocity model build with picks corrected with refraction statics and semblance exponent (<b>a</b>) p = 1, (<b>b</b>) p = 2 (compare with <a href="#minerals-09-00305-f007" class="html-fig">Figure 7</a>b).</p>
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<p>Comparison of the time vs. depth imaging results along a crossline through the ore zone (see <a href="#minerals-09-00305-f001" class="html-fig">Figure 1</a> for location). (<b>a</b>) PoSTM; (<b>b</b>) CBFVM for velocity model with refraction statics applied (same as in <a href="#minerals-09-00305-f007" class="html-fig">Figure 7</a>b). Note that the same velocity model was used for depth conversion of PoSTM.</p>
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<p>Crossline (<b>a</b>) and inline (<b>b</b>) extracted from the KPreSDM; (<b>c</b>) and (<b>d</b>) shows the data overlaid with the modelled base (from the borehole data) of the Kylylahti formation (in violet) and Kylylahti ore bodies (in red). See <a href="#minerals-09-00305-f001" class="html-fig">Figure 1</a> for location of the sections. The red line in (<b>c</b>) shows the inline position and yellow line in (<b>d</b>) shows the corresponding crossline position.</p>
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<p>Crossline (<b>a</b>) and inline (<b>b</b>) extracted from the CBFVM sampled at 5 m (same version as in <a href="#minerals-09-00305-f008" class="html-fig">Figure 8</a>b); (<b>c</b>,<b>d</b>) shows the data overlaid with the modelled base (from the borehole data) of the Kylylahti formation (in violet) and Kylylahti ore bodies (in red). See <a href="#minerals-09-00305-f001" class="html-fig">Figure 1</a> for location of the sections. The red line in (<b>c</b>) shows the inline position and yellow line in (<b>d</b>) shows the corresponding crossline position. The blue line in (<b>c</b>) shows the inline position and the black line in (<b>d</b>) shows the corresponding crossline position.</p>
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38 pages, 8289 KiB  
Article
Spatial and Temporal Controls on the Distribution of Indium in Xenothermal Vein-Deposits: The Huari Huari District, Potosí, Bolivia
by Lisard Torró, Joan Carles Melgarejo, Laura Gemmrich, Diva Mollinedo, Malena Cazorla, Álvaro Martínez, Núria Pujol-Solà, Júlia Farré-de-Pablo, Antoni Camprubí, David Artiaga, Belén Torres, Pura Alfonso and Osvaldo Arce
Minerals 2019, 9(5), 304; https://doi.org/10.3390/min9050304 - 17 May 2019
Cited by 25 | Viewed by 6775
Abstract
The Huari Huari deposit, Potosí Department in SW Bolivia, hosts polymetallic stratiform and vein mineralization of Miocene age with significant concentrations of the critical metal indium (In). Vein mineralization records document early crystallization of quartz and cassiterite followed by prominent associations of sulfides [...] Read more.
The Huari Huari deposit, Potosí Department in SW Bolivia, hosts polymetallic stratiform and vein mineralization of Miocene age with significant concentrations of the critical metal indium (In). Vein mineralization records document early crystallization of quartz and cassiterite followed by prominent associations of sulfides and sulfosalts. The earliest sulfide was arsenopyrite, followed by pyrrhotite, and progressively giving way to pyrite as the main iron sulfide, whereas Cu–Ag–Pb sulfosalts constitute late hypogene associations. Sphalerite is the chief ore mineral, and its crystallization is extended during most of the mineralization lifespan as evidenced by its initial cocrystallization with pyrrhotine, then with pyrite, and finally with Ag–Pb sulfosalts. The composition of sphalerite varies from early to late generations with a continuous decrease in FeS that attests to a decrease in temperature, which is constrained to vary from ~450 to <200 °C, and/or an increase in f(S2), both congruent with the described paragenetic sequence. Indium concentrated mostly in the structure of Fe-rich sphalerite (up to 3.49 wt. %) and stannite (up to 2.64 wt. %) as limited solid solutions with roquesite in the (Zn,Fe)S–Cu2FeSnS4–CuInS2 pseudoternary system. In sphalerite, In shows a strong positive correlation with Cu at Cu/In = 1, suggesting its incorporation via a (Cu+ + In3+) ↔ 2Zn2+ coupled substitution, and it does not correlate with Fe. In stannite, In shows a moderate, negative correlation with Cu and Sn, and an In3+ ↔ (Cu+ + ½ Sn4+) coupled substitution is suggested. Coexisting sphalerite and stannite yielded the highest In concentrations and crystallized at temperatures between 350 and 250 °C. Copper activity probably played a major role in the accumulation of In in the structure of sphalerite since In-bearing sphalerite coexisted with the deposition of stannite, shows high concentrations of Cu (up to 0.13 atoms per formula unit (a.p.f.u.)) in its structure, and hosts exsolutions of stannite and chalcopyrite. Distribution on the district scale of In suggests an input of hydrothermal fluids richer in Cu in the central position of the mineralizing system, represented by the Antón Bravo vein. Full article
(This article belongs to the Special Issue Mineral Deposits of Critical Elements)
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<p>Regional geological map showing the location of the study area (Huari Huari deposit: white box). Inset shows the location of the map within the Eastern Cordillera (Andean morphotectonic units are after Arce-Burgoa [<a href="#B26-minerals-09-00304" class="html-bibr">26</a>]).</p>
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<p>Geological map showing the distribution of veins in the Huari Huari mining district. The location of this map is shown in <a href="#minerals-09-00304-f001" class="html-fig">Figure 1</a>.</p>
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<p>Field photographs illustrating structures, lithologies, and textures of hosting rocks in the Huari Huari district. (<b>A</b>) General, SW-looking view of the Cerro Vera Cruz hill, hosting most of the Antón Bravo vein; notice the trace of the vein on the surface, which is picked out by open stopes, pits (red arrow), adits, and waste dumps (yellow arrows). (<b>B</b>) Contact (dashed yellow line) between Paleozoic metamorphosed sedimentary strata (left, red dashed line) and a dacite dome (right) in Cerro Manto hill, which hosts a large portion of the Buen Suceso vein; see location of the picture in A. (<b>C</b>) Dacite breccia observed in the Cerro Manto hill. (<b>D</b>) Deep red aplite dikes cut massive dacites in the Cerro Manto hill. (<b>E</b>) Esperanza level adit, close to the Huari Huari village; notice that the gallery is dug in Silurian shales of the Uncía formation. (<b>F</b>) Folded Ordovician quartzites of the San Benito formation in the core of the Huari Huari anticline.</p>
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<p>Photomicrographs of representative stratiform mineralization in the Huari Huari district. (<b>A,B</b>) Sulfide minerals in this sample form discontinuous veinlets, either parallel or perpendicular to bedding, or replace selective units (yellow arrow; transmitted plane polarized light (<b>A</b>) and reflected light (<b>B</b>)). (<b>C</b>) Pyrite mineralization around rounded detrital quartz grains (reflected light). (<b>D</b>) Sphalerite and goethite in this sample occupy interstitial positions between rounded quartz grains (reflected light). (<b>E</b>) Cassiterite (needle tin variety) occurs along a narrow quartz veinlet in a sandstone host (reflected light). (<b>F</b>) Minute cassiterite crystals occupy the spaces between detrital quartz grains along with zoned pyrite crystals (notice that pyrite is tarnished on purpose to emphasize crystal zoning; reflected light). Abbreviations: cst = cassiterite; gth = goethite; sl = sphalerite; py = pyrite; and qz = quartz.</p>
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<p>Photomicrographs of representative polymetallic vein mineralization in the Huari Huari district. (<b>A</b>) General view of the contact between a silicified host and a sphalerite-rich vein. Note that a first band of Fe-rich (dark) sphalerite is overgrown by slender subhedral quartz crystals, which also wrap rock fragments, thus drawing a cockade texture. A later generation of sphalerite, towards the core of the vein, is relatively poor in Fe (dark red in the image: transmitted, plane-polarized light). (<b>B</b>) Needle tin cassiterite coating a fragment of silicified host rock enclosed in sphalerite and partially replaced and overgrown by massive sphalerite (reflected light). (<b>C</b>) Banded vein showing an outer narrow layer of arsenopyrite and quartz, inner layers of younger sphalerite and cassiterite, and a central filling of siderite (reflected light). (<b>D</b>) Slender needle tin cassiterite developed inward central porosity along a siderite–sphalerite vein (reflected light). (<b>E</b>) Subhedral crystals of arsenopyrite and pyrite show conspicuous engulfment and microporosity filled with sphalerite. Sphalerite contains numerous chalcopyrite blebs (reflected light). (<b>F</b>) Sphalerite surrounds and fills porosity in anhedral, engulfed pyrite crystals (reflected light). (<b>G</b>) Early arsenopyrite, partly replaced by sphalerite, veined by pyrite (reflected light). (<b>H</b>) Early pyrrhotite pervasively replaced by sphalerite, pyrite (showing “bird’s eye” textures developed by concentric growths of pyrite in early stages of pyrrhotite replacement) and marcasite; the latter concentrates along the contacts between the other phases (reflected light). (<b>I</b>) Marcasite forms microscopic veinlets penetrating pyrrhotite and sphalerite (reflected light). (<b>J</b>) Marcasite veined early sphalerite and formed colloform overgrowths over this phase towards the core of the vein (reflected light, crossed polars). (<b>K</b>) Sphalerite vein crosscut by a marcasite vein (reflected light). (<b>L</b>) Remnants of pyrrhotite and galena are pervasively replaced by marcasite (reflected light). Abbreviations: aspy = arsenopyrite; cpy = chalcopyrite; cst = cassiterite; gn = galena; mc = marcasite; po = pyrrhotite; py = pyrite; qz = quartz; RF = host rock fragment; sid = siderite; and sl = sphalerite.</p>
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<p>Photomicrographs of representative polymetallic vein mineralization in the Huari Huari district. (<b>A</b>) Oscillatory-zoned stannite–sphalerite; remnants of pyrrhotite are strongly replaced by sphalerite (reflected light). (<b>B</b>) Detail of the oscillatory zoning of stannite and sphalerite; note the different brightness in sphalerite that points out zoning within this mineral as well. An outer band of sphalerite partially replaced the one of stannite, thus suggesting that both minerals formed alternately in time, and that the latter was not an exsolution from the former (backscattered electron image, BSE). (<b>C</b>) A first generation of sphalerite (sl1) is veined by a second generation of sphalerite (sl2); the contact between both served as a collector for stannite (BSE). (<b>D</b>) Complex texture in which corroded sphalerite is wrapped by stannite (which also lined vugs within this phase) and an interstitial overgrowth of miargyrite and argentian tetrahedrite. Pyrargyrite is mostly located along the contacts between stannite and miargyrite or tetrahedrite (reflected light). (<b>E</b>) Intergrowth between jamesonite bundles and sphalerite (reflected light). (<b>F</b>) Interstitial to quartz crystals, bladed and feathery jamesonite crystals gave way to an intergrowth of cassiterite and sphalerite. Semseyite was partially replaced by jamesonite (BSE). (<b>G</b>) Zonal arrangement of sphalerite, jamesonite, and pyrargyrite; notice that the porosity within sphalerite shows bladed morphologies similar to those of jamesonite remnants, probably related to dissolution of early jamesonite, and that such porosity was partially lined by pyrargyrite (reflected light). (<b>H</b>) An early assemblage of quartz, arsenopyrite, and cassiterite is veined by jamesonite. Semseyite, and probably galena, are late to jamesonite and partially replaced it (BSE). (<b>I</b>) Interstitial space between arsenopyrite, quartz, and jamesonite is lined by an assemblage of needle tin cassiterite, plagionite, semseyite, and galena. Notice that the contacts between these phases served as collectors for galena. The same assemblage penetrated along jamesonite blades to the right (BSE). (<b>J</b>) Jamesonite was partly replaced by andorite and galena concentrated along interstitial spaces to bladed jamesonite crystals (BSE). (<b>K</b>) Miargyrite, galena, and staročeskéite interstitial to stannite–sphalerite. Miargyrite was partially replaced by staročeskéite. Galena accumulated along the crystal contacts, formed blebs within miargyrite, and veined both miargyrite and staročeskéite (BSE). (<b>L</b>) Distorted franckeite and galena partially replaced by marcasite (BSE). Abbreviations: and = andorite; aspy = arsenopyrite; cst = cassiterite; frck = franckeite; gn = galena; jms = jamesonite; mc = marcasite; mia = miargyrite; plg = plagionite; po = pyrrhotite; py = pyrite; pyr = pyrargyrite; qz = quartz; sem = semseyite; sl = sphalerite; star = staročeskéite; stn = stannite; and td = tetrahedrite group minerals.</p>
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<p>Paragenetic sequences deduced for hypogene mineralization in the Huari Huari district. The width of the bars approximates the relative abundance of the listed minerals. Location of the mineral phases or generations yielding highlighted concentrations of In, and the maximum concentration for this metal are indicated in color. The timing of crystallization shown in the paragenetic sequence is relative to observations made on each vein system and the stratiform mineralization; therefore, it does not necessarily indicate absolute timing.</p>
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<p>Plot of the analyzed sphalerite and stannite grains from the Huari Huari district in the Zn + Fe + Cd + Mn vs. Cu + Ag vs. Sn + In ternary diagram. The composition of mineral end-members of interest is also plotted and includes chalcopyrite (cpy), kësterite (kës), roquesite (rqs), sphalerite (sl), and stannite (stn). The compositional variation of sakuraiite (sak) and petrukite (pet) is also shown (bold, red line).</p>
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<p>Correlation between elements in sphalerite from the Huari Huari district.</p>
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<p>Correlation between In and other elements in sphalerite from the Huari Huari district.</p>
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<p>Correlation between elements in stannite from the Huari Huari district.</p>
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<p>Pb vs. Sb binary plot for galena from the Huari Huari district.</p>
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<p>Plot of the analyzed tetrahedrite group minerals and Ag–Cu–Sb sulfosalts from the Huari Huari district in the Ag<sub>2</sub>S vs. Cu<sub>2</sub>S vs. Sb<sub>2</sub>S<sub>3</sub> + As<sub>2</sub>S<sub>3</sub> ternary diagram (left) and of the tetrahedrite group minerals in the As/(As + Sb) vs. Ag/(Ag + Cu) and Zn/(Zn + Fe) binary diagrams (right).</p>
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<p>Binary temperature composition plot showing arsenopyrite composition in the <span class="html-italic">f</span>(S<sub>2</sub>) buffered arsenopyrite + pyrite + pyrrhotite and pyrrhotite + arsenopyrite + pyrite assemblages (fields are after [<a href="#B54-minerals-09-00304" class="html-bibr">54</a>]). Key: Apy = arsenopyrite, As = native arsenic, L = liquid, Lö = löllingite, Po = pyrrhotite, and Py = pyrite.</p>
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<p>Binary log (XFeS/XZnS)<sub>sphalerite</sub> vs. log (XFeS/XZnS)<sub>stannite</sub> plot showing results for sphalerite and stannite from Huari Huari. Isotherms (dashed red lines) are based on data by Nakamura and Shima [<a href="#B61-minerals-09-00304" class="html-bibr">61</a>]. Blue dotted lines show log <span class="html-italic">f</span>(S<sub>2</sub>) in the pyrrhotite stability field after Scott and Barnes [<a href="#B56-minerals-09-00304" class="html-bibr">56</a>]. The 20.8 mol. % FeS line in sphalerite corresponds to the composition of sphalerite in equilibrium with pyrrhotite at 1 bar [<a href="#B56-minerals-09-00304" class="html-bibr">56</a>]. Composition fields of coexisting stannite–sphalerite in Japanese deposits are shown for comparison [<a href="#B62-minerals-09-00304" class="html-bibr">62</a>,<a href="#B63-minerals-09-00304" class="html-bibr">63</a>].</p>
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<p>Diagram correlating temperature and sulfur fugacity for the sulfidation states of hydrothermal fluids in the formation environments of porphyry and epithermal deposits, defined according to the stability fields of key minerals, with the approximate sulfidation paths determined by the metallic mineral associations in the sulfide–sulfosalt stage at the Huari Huari deposit (in purple and pink). The lines dotted in white represent the sulfidation curves for common contents of FeS in sphalerite, deduced from <a href="#minerals-09-00304-f005" class="html-fig">Figure 5</a> in Einaudi et al. [<a href="#B66-minerals-09-00304" class="html-bibr">66</a>] and adopted from Camprubí and Albinson [<a href="#B67-minerals-09-00304" class="html-bibr">67</a>]. The sulfidation trajectories determined for the sulfide and sulfosalt substages were constructed by using the mineral sequence determined in <a href="#minerals-09-00304-f007" class="html-fig">Figure 7</a> and the key interrelationships between minerals as follows: (1) arsenopyrite replacement by pyrrhotite, (2) coprecipitation of sphalerite and stannite, (3) replacement of pyrrhotite by pyrite and marcasite (“bird’s eye” textures), and (4) precipitation of tetrahedrite after stannite. Trajectories 1, 2, and 3 (in white, in circles) are those described for porphyry copper deposits, base-metal veins associated to porphyries (or “looping path” of magmatic fluids), and active geothermal fluids (or “geothermal path”), respectively, according to Einaudi et al. [<a href="#B66-minerals-09-00304" class="html-bibr">66</a>]. Trajectory 4 (in white, in a circle) is a speculative “flattened looping path” that aims to explain the sulfidation trajectories deduced for Mexican epithermal deposits, according to Camprubí and Albinson [<a href="#B67-minerals-09-00304" class="html-bibr">67</a>]. The general diagram and the information it bears was largely adapted from Einaudi et al. [<a href="#B66-minerals-09-00304" class="html-bibr">66</a>] and Sillitoe and Hedenquist [<a href="#B68-minerals-09-00304" class="html-bibr">68</a>]. The areas in which the depicted reactions were deduced to take place, as deduced in this paper, were determined as follows: (1) The boxes in red and deep blue and yellow that fade downward do so from the maximum value of sulfur fugacity that was obtained in this study. Similarly, the yellow box that fades upward does so from the minimum value of sulfur fugacity that was obtained in this study. The box striped in yellow denotes the case in which maximum and minimum values for sulfur fugacity are available. (2) The boxes striped in light blue, orange, and green were positioned below or above the stability limit for the characteristic minerals or reactions to which they referred (orange for the replacement of pyrrhotite by pyrite and marcasite, green for tetrahedrite) or the approximate FeS content in sphalerite that coprecipitated with stannite (light blue). The length of these boxes was determined by the range of temperatures at which the depicted reactions were determined to occur as of this study. Key: Aspy = arsenopyrite, Mc = marcasite, Po = pyrrhotite, Py = pyrite, Sph = sphalerite, Stn = stannite, and Ttd = tetrahedrite.</p>
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25 pages, 13387 KiB  
Article
Characterization and Economic Potential of Historic Tailings from Gravity Separation: Implications from a Mine Waste Dump (Pb-Ag) in the Harz Mountains Mining District, Germany
by Kerstin Kuhn and Jeannet A. Meima
Minerals 2019, 9(5), 303; https://doi.org/10.3390/min9050303 - 16 May 2019
Cited by 27 | Viewed by 5141
Abstract
In contrast to modern tailings from froth flotation, little is known about historic tailings from gravity separation. However, they may be of economic interest due to their higher metal grades compared to modern tailings. As an example for these types of historic tailings, [...] Read more.
In contrast to modern tailings from froth flotation, little is known about historic tailings from gravity separation. However, they may be of economic interest due to their higher metal grades compared to modern tailings. As an example for these types of historic tailings, the inner structure, as well as the economic potential (Pb, Zn, Cu, Ag, Sb), of the old Bergwerkswohlfahrt mine waste dump in Germany were studied. The investigations focused on textural, geochemical, and mineralogical properties. For this purpose, an extensive drilling program was undertaken. The drill cores were subsequently analyzed with a laser-induced breakdown spectroscopy (LIBS) core scanner to obtain the detailed spatial distribution of potentially valuable elements. The fine-sized residues could be differentiated into different layers, all of them including valuable metals in varying proportions. The strong variations in stratification and in metal distribution over short distances are caused by the batch-wise deposition of the tailings. This heterogeneity within short distances has to be taken into account for future exploration of these types of deposits. The application of a core scanner using LIBS is very convenient for detailed spatial analysis of drill cores, however, the calibration effort, particularly for heterogeneous sample material, is proportionally large. The valuable metal content for Bergwerkswohlfahrt was estimated to be 8000 metric tons of Pb and 610,000 ounces of Ag. Although of limited economic value, recycling might finance future remediation costs. Furthermore, the occurrence of historic tailings in nearby clusters may present further recycling opportunities. Full article
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<p>Location of the Harz Mountains in Germany (red circle; [<a href="#B26-minerals-09-00303" class="html-bibr">26</a>]) and photo of the northwestern part of the Bergwerkswohlfahrt mine waste dump (source: Federal Institute for Geosciences and Natural Resources (BGR)). The image width is approximately 150 m.</p>
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<p>Aerial photo [<a href="#B28-minerals-09-00303" class="html-bibr">28</a>] of the Bergwerkswohlfahrt mine waste dump showing its boundary [<a href="#B29-minerals-09-00303" class="html-bibr">29</a>], as well as the drilling locations. The surface outcrops of the tailings are shown in transparent yellow.</p>
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<p>Comparison of predicted concentrations obtained by laser-induced breakdown spectroscopy (LIBS) + partial least square regression (PLS) versus reference concentrations obtained by X-ray fluorescence (XRF) or laser ablation-inductively coupled plasma-mass spectrometry (LA-ICP-MS) for the reference tailing samples. The training set for the PLS model is represented by closed circles, and the open triangles represent the test set.</p>
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<p>Backscattered-electron images of tailings, showing: (<b>a</b>) alteration of galena (gn) to cerussite (cer); (<b>b</b>) sphalerite in a state of partial dissolution; (<b>c</b>) corroded Ag-rich tetrahedrite (ttr) and galena (gn) partially weathered to cerussite (cer); (<b>d</b>) different forms of weathering with fractured pyrite (py) and chalcopyrite (ccp) being weathered to Fe oxyhydroxides at the rim and along cracks; (<b>e</b>) corroded bournonite (bno); (<b>f</b>) advanced weathering of siderite to Fe oxyhydroxides (Fe-ox) with siderite (sd) remaining in the core area. The lighter the Fe oxyhydroxides, the more Mn, Pb, and other metals they contain in general. Note: qz—quartz, ms—muscovite, brt—barite, Fe-ox—Fe oxyhydroxides, cer—cerussite.</p>
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<p>Lithology of cores taken in Bergwerkswohlfahrt mine waste dump, roughly sorted from northwest to southeast.</p>
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<p>Scatter plots of selected elements for the tailings of the Bergwerkswohlfahrt mine waste dump. Data are based on bulk chemical analyses.</p>
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<p>Distribution of the concentrations of Pb, Zn Ag, Sb, and Cu in cores of the Bergwerkswohlfahrt mine waste dump based on bulk chemical analyses (cores A, B, and C) and LIBS analyses (all other cores). The box-and-whisker plots show the median concentration, the 25th and 75th percentiles (quartiles), the whiskers (maximum 1.5 times the interquartile range), as well as possible outliers of each drill core.</p>
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<p>Down-core element profiles along the NW–SE cross-section (cores A–Q). Since Ag and Sb directly correlate with Pb, profiles of these two elements are not shown. For the location of the cross-section see <a href="#minerals-09-00303-f002" class="html-fig">Figure 2</a>, and for lithology see <a href="#minerals-09-00303-f005" class="html-fig">Figure 5</a>.</p>
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<p>Areal variogram with spherical model (solid line) of all Pb concentrations within ten drill hole locations in the central part of Bergwerkswohlfahrt mine waste dump. Input parameters used for the omnidirectional variogram: lag distance = 8.3 m; number of lags = 5; number of strata = 4. From the variogram a range of 8.6 m, a nugget effect of 1.75, and a sill of 3.4 can be determined.</p>
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29 pages, 10565 KiB  
Article
Application of Data Analytics Techniques to Establish Geometallurgical Relationships to Bond Work Index at the Paracutu Mine, Minas Gerais, Brazil
by Mahadi Bhuiyan, Kamran Esmaieli and Juan C. Ordóñez-Calderón
Minerals 2019, 9(5), 302; https://doi.org/10.3390/min9050302 - 16 May 2019
Cited by 21 | Viewed by 5197
Abstract
Analysis of geometallurgical data is essential to building geometallurgical models that capture physical variability in the orebody and can be used for the optimization of mine planning and the prediction of milling circuit performance. However, multivariate complexity and compositional data constraints can make [...] Read more.
Analysis of geometallurgical data is essential to building geometallurgical models that capture physical variability in the orebody and can be used for the optimization of mine planning and the prediction of milling circuit performance. However, multivariate complexity and compositional data constraints can make this analysis challenging. This study applies unsupervised and supervised learning to establish relationships between the Bond ball mill work index (BWI) and geomechanical, geophysical and geochemical variables for the Paracatu gold orebody. The regolith and fresh rock geometallurgical domains are established from two cluster sets resulting from K-means clustering of the first three principal component (PC) scores of isometric log-ratio (ilr) coordinates of geochemical data and standardized BWI, geomechanical and geophysical data. The first PC is attributed to weathering and reveals a strong relationship between BWI and rock strength and fracture intensity in the regolith. Random forest (RF) classification of BWI in the fresh rock identifies the greater importance of geochemical ilr balances relative to geomechanical and geophysical variables. Full article
(This article belongs to the Section Mineral Processing and Extractive Metallurgy)
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<p>Geological setting of the Paracatu deposit. Yellow marker in (<b>a</b>) and (<b>b</b>) locate the mine site. (<b>a</b>) Geological map depicting the Central Domain units and E-verging continental fold-thrust system of the continental Brasilia Fold Belt (modified from [<a href="#B25-minerals-09-00302" class="html-bibr">25</a>], after [<a href="#B24-minerals-09-00302" class="html-bibr">24</a>]). (<b>b</b>) Area in red inset from (<b>a</b>) showing the regional geology and thrust fault at Paracatu (modified from [<a href="#B27-minerals-09-00302" class="html-bibr">27</a>]). (<b>c</b>) Inferred, not to scale, stratigraphic column of the Canastra Group [<a href="#B27-minerals-09-00302" class="html-bibr">27</a>].</p>
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<p>Perspective view of the lenticular and tabular Paracatu orebody (red) within the host phyllite (green). Drillhole traces of all drilling conducted at Paracatu shown in black. Majority of drillhole plunges are subvertical to vertical.</p>
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<p>Cross-section of the 3D geological model of the Paracatu lithology looking north with a vertical exaggeration (VEX) of 3:1. Perspective thickness includes north to south extent of mine site. Footwall is shown as transparent to illustrate the orebody and overlying regolith.</p>
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<p>Boudinaged quartz veins subparallel to a composite planar fabric, defining a bedding-parallel foliation in zones with high strain.</p>
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<p>Weathering profile exposed at the southwestern part of the Paracatu mine. The vertical profile shows a red saprolite (sp) transitioning downwards into saprock (spr) and fresh bedrock (bdr). Pit bench height is 12.5 m. The panoramic view looks north-north-east (NNE).</p>
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<p>Drillcore samples from the (<b>a</b>) saprolite, (<b>b</b>) saprock and (<b>c</b>) fresh bedrock.</p>
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<p>Dendrogram after hierarchical clustering the variation matrix of a 20-element geochemical subcomposition analyzed in weathered and fresh rock observations. Red points indicate the cluster splits. Codependence among variables decreases from the bottom to the top of the diagram. The top of the colored boxes corresponds to the dissimilarity at which clusters of elements are taken to create composite variables. The variation matrix is available in <a href="#app1-minerals-09-00302" class="html-app">Appendix A</a> <a href="#minerals-09-00302-t0A1" class="html-table">Table A1</a>.</p>
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<p>Scree plot of principal components and their share of explained sample variance. The shaded region behind the red line represents the total variance, ca. 85%, captured by PC1, PC2 and PC3.</p>
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<p>Principal component 1 (PC1) and PC2 biplot of compositional and non-compositional variables for weathered and fresh rock observations. Green data points represent PC scores and the arrow vectors represent the orebody variables. The BWI loading is shown in red for clarity.</p>
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<p>Plot of <span class="html-italic">K</span> = 1 to 10 clusters and the corresponding total cluster variance. The inflection point can be defined at <span class="html-italic">K</span> = 4 or 5. Red line indicates the chosen <span class="html-italic">K</span> = 5.</p>
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<p>Clusters on the PC1-PC2 biplot after <span class="html-italic">K</span>-means clustering of PC1, PC2 and PC3 scores.</p>
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<p>Bond ball mill work index (BWI) boxplots for each principal component analysis (PCA) cluster.</p>
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<p>Cross-section looking north at Paracatu (VEX: 3 to 1). Observations represented by PCA cluster membership within their drillhole sample. Section thickness includes north to south extent of mine site. The physical meaning of clusters to the orebody are shown by annotations.</p>
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<p>Dendrogram of hierarchical clustering results on the variation matrix of fresh rock observations. Red points indicate the cluster splits. Codependence among variables decreases from the bottom to the top of the diagram. The top of the colored boxes corresponds to the dissimilarity at which clusters of elements are taken to create composite variables. The variation matrix is available <a href="#minerals-09-00302-t0A2" class="html-table">Table A2</a>.</p>
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<p>Scree plot of principal components and their share of explained sample variance. The shaded region behind the black and red line represents the total variance of 74% and c.a. 99%, captured by PC1 to PC3 and PC1 to PC5, respectively.</p>
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<p>Biplots for fresh rock observations. Green data points represent PC scores and the arrow vectors represent the orebody variables. The BWI loading is shown in red for clarity. (<b>a</b>) Biplot of PC1 and PC2 (57.3% variance). (<b>b</b>) Biplot of PC1 and PC3 (53.2% variance).</p>
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<p>(<b>a</b>) Total within sum of square for <span class="html-italic">K</span> = 2,3 and 4 clusters of BWI sample data. Red line indicates the plot inflection at <span class="html-italic">K</span> = 2. (<b>b</b>) Histogram of BWI sample data with bins of 0.1 kWh/t. The BWI class boundary occurs at 14.36 kWh/t (dashed line).</p>
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<p>Spatial visualization of the BWI classes, &lt;=14.36 kWh/t and &gt; 14.36 kWh/t, obtained from <span class="html-italic">K</span>-means clustering of BWI sample data. Cross-section looking north at Paracatu (VEX: 3 to 1). Observations represented by BWI class membership within their drillhole sample. Section thickness includes north to south extent of mine site.</p>
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<p>RF variable importance plots for (<b>a</b>) Overall classification and (<b>b</b>) &gt;14.36 kWh/t class. Variables are ranked in descending order of importance. The horizontal axis is in percentage decrease in out-of-bag (OOB) classification accuracy after permutation of variables. Red dashed line indicates 50% of the most important variable’s decrease in accuracy. The type of each orebody variable is color coded.</p>
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13 pages, 3208 KiB  
Article
Floc-Flotation of Malachite Fines with an Octyl Hydroxamate and Kerosene Mixture
by Zhili Li, Feng Rao, Xiaoming Lou, Shaoxian Song and Alejandro López-Valdivieso
Minerals 2019, 9(5), 301; https://doi.org/10.3390/min9050301 - 16 May 2019
Cited by 13 | Viewed by 3528
Abstract
Malachite fines are easily produced in the grinding process, leading to low malachite flotation recovery. Floc-flotation of malachite fines with an octyl hydroxamate and kerosene mixture was studied to improve the flotation recovery, using microflotation, microscopy image observations, contact angle measurements, and Extended [...] Read more.
Malachite fines are easily produced in the grinding process, leading to low malachite flotation recovery. Floc-flotation of malachite fines with an octyl hydroxamate and kerosene mixture was studied to improve the flotation recovery, using microflotation, microscopy image observations, contact angle measurements, and Extended Derjguin–Landau–Verwey–Overbeek (EDLVO) analysis. The results showed that the addition of octyl hydroxamate as an emulsifier of kerosene enhanced the aggregation of malachite fines and improved malachite flotation recovery. In addition, when kerosene droplets were smaller and of uniform size distribution, the spreading of kerosene droplets on the malachite surface improved. The enhanced spreading of kerosene droplets led to higher coverage of kerosene on the malachite surface, resulting in improved hydrophobic aggregation and flotation recovery. Full article
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<p>Cumulative percentage of malachite particle size for hydrophobic flocculation and microflotation.</p>
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<p>Flotation recovery of malachite with the addition of two kinds of kerosene emulsions as a function of octyl hydroxamate concentration.</p>
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<p>Flotation recovery of malachite with the addition of two kinds of kerosene emulsions as a function of kerosene dosage.</p>
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<p>Optical microscopy images of the kerosene emulsions prepared by ultrasonic processor (<b>a</b>) without the addition of octyl hydroxamate (<b>b</b>) with the addition of 0.05 wt % octyl hydroxamate.</p>
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<p>Spreading of kerosene droplets on the malachite surface measured with the captive bubble method.</p>
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<p>Optical microscopy images of the malachite aggregates (<b>a</b>) with the addition of kerosene emulsion; (<b>b</b>) with addition of 0.05 wt % octyl hydroxamate treated kerosene emulsion.</p>
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<p>Zeta potential of malachite in the presence and absence of 2 × 10<sup>−4</sup> mol/L octyl hydroxamate.</p>
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<p>Zeta potential of kerosene emulsion and 0.05 wt % octyl hydroxamate-treated kerosene emulsion.</p>
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<p>The interaction energy between malachite particles and emulsified kerosene droplets as a function of separation distance, malachite radius: 2.10 μm and kerosene radius: 1.07 μm.</p>
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<p>The interaction energy between malachite particles and 0.05 wt % octyl hydroxamate treated kerosene droplets as a function of separation distance, malachite radius: 2.10 μm and kerosene radius: 0.27 μm.</p>
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<p>Schematic representation of enhancement of kerosene spreading on malachite surface by using octyl hydroxamate as an emulsifier.</p>
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14 pages, 3470 KiB  
Article
Numerical Simulation of Flow Field Characteristics and Separation Performance Test of Multi-Product Hydrocyclone
by Yuekan Zhang, Peikun Liu, Lanyue Jiang, Xinghua Yang and Junru Yang
Minerals 2019, 9(5), 300; https://doi.org/10.3390/min9050300 - 16 May 2019
Cited by 5 | Viewed by 3563
Abstract
A traditional hydrocyclone can only generate two products with different size fractions after one classification, which does not meet the fine classification requirements for narrow size fractions. In order to achieve the fine classification, a multi-product hydrocyclone with double-overflow-pipe structure was designed in [...] Read more.
A traditional hydrocyclone can only generate two products with different size fractions after one classification, which does not meet the fine classification requirements for narrow size fractions. In order to achieve the fine classification, a multi-product hydrocyclone with double-overflow-pipe structure was designed in this study. In this work, numerical simulation and experimental test methods were used to study the internal flow field characteristics and distribution characteristics of the product size fraction. The simulation results showed that in contrast with the traditional single overflow pipe, there were two turns in the internal axial velocity direction of the hydrocyclone with the double-overflow-pipe structure. Meanwhile, the influence rule of the diameter of the underflow outlet on the flow field characteristics was obtained through numerical simulation. From the test, five products with different size fractions were obtained after one classification and the influence rule of the diameter of the underflow outlet on the size fraction distribution of multi-products was also obtained. This work provides a feasible research idea for obtaining the fine classification of multiple products. Full article
(This article belongs to the Special Issue Physical Separation and Enrichment)
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<p>Schematic diagram of multi-product hydrocyclone.</p>
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<p>Mesh system used in the simulation.</p>
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<p>Schematic of the experimental apparatus. 1—Agitator; 2, 4, 6, 11—Valves; 3—Slurry pump; 5—Motor; 7, 9—Pressure gage; 8—I stage hycrocyclone; 10—II stage hydrocyclone; 12—Receiving vat.</p>
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<p>Schematic of the experimental site.</p>
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<p>Tangential velocity profiles at several spigot diameters.</p>
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<p>Axial velocity profiles at several underflow pipe diameters.</p>
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<p>Radial velocity profiles at several underflow pipe diameters.</p>
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<p>Static pressure profiles at several underflow pipe diameters.</p>
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<p>Comparison of maximum grain size products of different underflow pipe.</p>
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20 pages, 6660 KiB  
Article
A Review of the Classification of Opal with Reference to Recent New Localities
by Neville J. Curtis, Jason R. Gascooke, Martin R. Johnston and Allan Pring
Minerals 2019, 9(5), 299; https://doi.org/10.3390/min9050299 - 15 May 2019
Cited by 50 | Viewed by 9397
Abstract
Our examination of over 230 worldwide opal samples shows that X-ray diffraction (XRD) remains the best primary method for delineation and classification of opal-A, opal-CT and opal-C, though we found that mid-range infra-red spectroscopy provides an acceptable alternative. Raman, infra-red and nuclear magnetic [...] Read more.
Our examination of over 230 worldwide opal samples shows that X-ray diffraction (XRD) remains the best primary method for delineation and classification of opal-A, opal-CT and opal-C, though we found that mid-range infra-red spectroscopy provides an acceptable alternative. Raman, infra-red and nuclear magnetic resonance spectroscopy may also provide additional information to assist in classification and provenance. The corpus of results indicated that the opal-CT group covers a range of structural states and will benefit from further multi-technique analysis. At the one end are the opal-CTs that provide a simple XRD pattern (“simple” opal-CT) that includes Ethiopian play-of-colour samples, which are not opal-A. At the other end of the range are those opal-CTs that give a complex XRD pattern (“complex” opal-CT). The majority of opal-CT samples fall at this end of the range, though some show play-of-colour. Raman spectra provide some correlation. Specimens from new opal finds were examined. Those from Ethiopia, Kazakhstan, Madagascar, Peru, Tanzania and Turkey all proved to be opal-CT. Of the three specimens examined from Indonesian localities, one proved to be opal-A, while a second sample and the play-of-colour opal from West Java was a “simple” Opal-CT. Evidence for two transitional types having characteristics of opal-A and opal-CT, and “simple” opal-CT and opal-C are presented. Full article
(This article belongs to the Special Issue Mineralogy and Geochemistry of Gems)
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<p>Patterns and spectra of typical samples showing (<b>a</b>) XRD patterns, (<b>b</b>) Raman spectra, (<b>c</b>) attenuated total reflectance mid-IR spectra and (<b>d</b>) single-pulse <sup>29</sup>Si MAS NMR spectra. In ascending order, the samples are: opal-AG (White Cliffs, Australia G13771) (red); opal-AN/hyalite (Valec, Czech Republic G32740) (green); opal-CT (Angaston, Australia, G9942) (blue) and opal-C (Iceland M5081) (purple). Spectra were scaled and offset for comparison.</p>
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<p>Far IR spectra of opal-AG samples showing the range of types. In ascending order: (<b>a</b>) White Cliffs, Australia (G8608), Lightening Ridge, Australia (G13769), Coober Pedy Australia (G9594) and Iron Monarch, Australia (G9260). (<b>b</b>) Mid-IR spectra of opal-A samples showing the range of types. In ascending order: Valec, Czech Republic (OOC11) (opal-AN), Coober Pedy Australia (G9594) (opal-AG), Springsure, Australia (M8736) (opal-AN) and White Cliffs, Australia (G1401) (opal-AG). Spectra were scaled and offset (<span class="html-italic">y</span>-axis) for comparison.</p>
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<p>Experimental and fitted curves for <sup>29</sup>Si MAS NMR spectra. The exemplar opal-AG, opal-AN and opal-CT samples: opal-AG (White Cliffs, Australia G13771) (red), opal-AN/hyalite (Valec, Czech Republic G32740) (green) and opal-CT (Angaston, Australia, G9942) (blue).</p>
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<p>Raman spectra (700 to 1200 cm<sup>−1</sup>) of opal samples. In ascending order: White Cliffs, Australia (G13771) (opal-AG), Valec, Czech Republic (G32740) (opal-AN), Angaston, Australia (G9942) (opal-CT) and Iceland (M5081) (opal-C). Spectra were scaled and offset for comparison.</p>
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<p>A series of XRD patterns illustrating the structural changes across the opal-CT group. The patterns were arranged in order of increasing complexity of the main peak at ̴ 4.1 Å. Any subdivision between “simple” opal-CT and “complex” opal-CT is arbitrary, but patterns <span class="html-italic">a</span> and <span class="html-italic">b</span> are clearly distinct from patterns <span class="html-italic">i</span>, <span class="html-italic">j</span> and <span class="html-italic">k</span>. Note the progressive change in the sharpness and shape of the reflections at 4.1 and 2.5 Å. The specimens are (in ascending order from simplest to most complex): (<b>a</b>) Afar, Ethiopia (G32752), (<b>b</b>) Mezezo, Ethiopia (NMNH Eth 1), (<b>c</b>) Murwillumbah, Australia (G9964), (<b>d</b>) Acari, Peru (G33912), (<b>e</b>) Honduras (G1441), (<b>f</b>) Indonesia (OOC6), (<b>g</b>) Kazakhstan (M53407), (<b>h</b>) Nevada, USA (G32263), (<b>i</b>) Tanzania (G34238), (<b>j</b>) Nevada, USA (G31851) and (<b>k</b>) Tanzania (G NEW19).</p>
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<p>Comparison of mixed XRD patterns for mineral samples of tridymite (G1395) and cristobalite (RRUFF Database ID R060648) with Ross, Tasmania, Australia (G13755) and Iron Monarch, Australia (G9620) showing curve-fitting elements and actual pattern. Spectra were scaled and offset for comparison.</p>
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<p>Correlations of XRD curve fitting data: (<b>a</b>) FWHM for P1 (<span class="html-italic">x</span>-axis) and P4 (<span class="html-italic">y</span>-axis), and (<b>b</b>) relative amounts of the P1 (<span class="html-italic">x</span>-axis) and P3 (<span class="html-italic">y</span>-axis) peaks (P2 is set at unity). Samples showing play-of-colour (POC) are shown as red-filled circles, whereas non-POC samples are represented by green-open circles. The subset of samples from Ethiopia displaying POC are circled in panel (<b>a</b>).</p>
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<p>Raman spectra of opal-CT showing progressive structure. In ascending order: (<b>a</b>) “simple” opal-CT from Mezezo Ethiopia (G25374), and increasingly complex forms from Eurolowie, Australia (G1425), Angaston, Australia (G9942) and Iron Monarch Australia (G9620). (<b>b</b>) Plot of the XRD pattern FWHM of P4 versus P1 separated into different Raman types. See text for details regarding the definitions of the Raman types observed in this study. Not all samples yielded a Raman spectrum due to the problems with fluorescence.</p>
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<p>Transitional opal XRD pattern (lower-middle OOC4 from Mazarron, Murcia, Spain, upper-middle T22824 from Megyasro, Hungary). Shown with G9304 (opal-A, lower) and G25374 (simple opal-CT, upper). Scaled and offset (<span class="html-italic">y</span>-axis) for comparison.</p>
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<p>SEM of: (<b>a</b>) OOC4 AND (<b>b</b>) T22824 (RHS) showing large spheres and bundles of plates.</p>
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<p>Transitional opal CT to C from Opal Butte Mine, Oregon USA (G NEW18). (<b>a</b>) XRD pattern and (<b>b</b>) Raman spectrum.</p>
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14 pages, 4100 KiB  
Article
Enhanced Potential Toxic Metal Removal Using a Novel Hierarchical SiO2–Mg(OH)2 Nanocomposite Derived from Sepiolite
by Qi-Zhi Yao, Sheng-Hui Yu, Tian-Lei Zhao, Fei-Jin Qian, Han Li, Gen-Tao Zhou and Sheng-Quan Fu
Minerals 2019, 9(5), 298; https://doi.org/10.3390/min9050298 - 15 May 2019
Cited by 15 | Viewed by 4145
Abstract
Clays are widely used as sorbents for heavy metals due to their high specific surface areas, low cost, and ubiquitous occurrence in most soil and sediment environments. However, the low loading capacity for heavy metals is one of their inherent limitations. In this [...] Read more.
Clays are widely used as sorbents for heavy metals due to their high specific surface areas, low cost, and ubiquitous occurrence in most soil and sediment environments. However, the low loading capacity for heavy metals is one of their inherent limitations. In this work, a novel SiO2–Mg(OH)2 nanocomposite was successfully prepared via sequential acid–base modification of raw sepiolite. The structural characteristics of the resulting modified samples were characterized by a wide range of techniques including field emission scanning electron microscopy (FESEM), transmission electron microscopy (TEM), energy dispersive X-ray spectroscopy (EDX), X-ray diffraction (XRD), and nitrogen physisorption analysis. The results show that a hierarchical nanocomposite constructed by loading the Mg(OH)2 nanosheets onto amorphous SiO2 nanotubes can be successfully prepared, and the nanocomposite has a high surface area (377.3 m2/g) and pore volume (0.96 cm3/g). Batch removal experiments indicate that the nanocomposite exhibits high removal efficiency toward Gd(III), Pb(II), and Cd(II), and their removal capacities were greatly enhanced in comparison with raw sepiolite, due to the synergistic effect of the different components in the hierarchical nanocomposite. This work can provide a novel route toward a hierarchical nanocomposite by using clay minerals as raw material. Taking into account the simplicity of the fabrication route and the high loading capacities for heavy metals, the developed nanocomposite also has great potential applications in water treatment. Full article
(This article belongs to the Special Issue Nanomineralogy)
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<p>Typical TEM images of raw sepiolite (<b>a</b>,<b>b</b>), acid-activated sepiolite (<b>c</b>,<b>d</b>), and sepiolite modified by sequential acid–base treatment (<b>e</b>,<b>f</b>). Insets in panels b, d, and f are the corresponding energy dispersive X-ray spectroscopy (EDX) spectra. The red ellipses in <a href="#minerals-09-00298-f001" class="html-fig">Figure 1</a>b,d,f indicate the areas of EDX analysis.</p>
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<p>Representative XRD patterns of raw sepiolite (<b>a</b>), acid-activated sepiolite (<b>b</b>), and sepiolite modified by sequential acid–base treatment (<b>c</b>).</p>
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<p>FTIR spectra of raw sepiolite (<b>a</b>), amorphous SiO<sub>2</sub> nanotubes (<b>b</b>), and Mg(OH)<sub>2</sub>–SiO<sub>2</sub> composite (<b>c</b>).</p>
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<p>N<sub>2</sub> adsorption/desorption isotherms of raw sepiolite (black), amorphous SiO<sub>2</sub> nanotubes (red), and Mg(OH)<sub>2</sub>–SiO<sub>2</sub> composite (blue).</p>
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<p>Effect of pH on the removal efficiency of Gd(III) by raw sepiolite and the SiO<sub>2</sub>–Mg(OH)<sub>2</sub> nanocomposite (<b>a</b>); relationship between the initial and final pH of the adsorption system (<b>b</b>); effect of contact time on the Gd(III) removal by raw sepiolite and the nanocomposite (<b>c</b>); removal capacity of the nanocomposite (<b>d</b>) and raw sepiolite (<b>e</b>) for Gd(III); removal capacity of the nanocomposite for Gd(III) at different pHs (<b>f</b>).</p>
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<p>Removal capacities of the SiO<sub>2</sub>–Mg(OH)<sub>2</sub> nanocomposite for Pb(II) and Cd(II) at pH 5.6.</p>
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<p>FESEM (<b>a</b>) and TEM (<b>b</b>) images, XRD pattern (<b>c</b>), and FTIR spectrum (<b>d</b>) of Gd(III)-loaded SiO<sub>2</sub>–Mg(OH)<sub>2</sub> nanocomposite; XRD patterns of Pb(II)-loaded SiO<sub>2</sub>–Mg(OH)<sub>2</sub> nanocomposites (<b>e</b>); and Cd(II)-loaded SiO<sub>2</sub>–Mg(OH)<sub>2</sub> nanocomposites (<b>f</b>). The red ellipses in <a href="#minerals-09-00298-f007" class="html-fig">Figure 7</a>a,b highlight the small particles adhering to the nanocomposite surface.</p>
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<p>FESEM (<b>a</b>) and TEM (<b>b</b>) images, XRD pattern (<b>c</b>), and FTIR spectrum (<b>d</b>) of Gd(III)-loaded SiO<sub>2</sub>–Mg(OH)<sub>2</sub> nanocomposite; XRD patterns of Pb(II)-loaded SiO<sub>2</sub>–Mg(OH)<sub>2</sub> nanocomposites (<b>e</b>); and Cd(II)-loaded SiO<sub>2</sub>–Mg(OH)<sub>2</sub> nanocomposites (<b>f</b>). The red ellipses in <a href="#minerals-09-00298-f007" class="html-fig">Figure 7</a>a,b highlight the small particles adhering to the nanocomposite surface.</p>
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