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21 pages, 5403 KiB  
Article
Exogenous 2,4-Epibrassinolide Alleviates Alkaline Stress in Cucumber by Modulating Photosynthetic Performance
by Wenjing Nie, Qinghai He, Jinzhao Ma, Hongen Guo and Qinghua Shi
Plants 2025, 14(1), 54; https://doi.org/10.3390/plants14010054 - 27 Dec 2024
Abstract
Brassinosteroids (BRs) are recognized for their ability to enhance plant salt tolerance. While considerable research has focused on their effects under neutral salt conditions, the mechanisms through which BRs regulate photosynthesis under alkaline salt stress are less well understood. This study investigates these [...] Read more.
Brassinosteroids (BRs) are recognized for their ability to enhance plant salt tolerance. While considerable research has focused on their effects under neutral salt conditions, the mechanisms through which BRs regulate photosynthesis under alkaline salt stress are less well understood. This study investigates these mechanisms, examining plant growth, photosynthetic electron transport, gas exchange parameters, Calvin cycle dynamics, and the expression of key antioxidant and Calvin cycle genes under alkaline stress conditions induced by NaHCO3. The findings indicate that NaHCO3 stress substantially impairs cucumber growth and photosynthesis, significantly reducing chlorophyll content, net photosynthetic rate (Pn), stomatal conductance (Gs), transpiration rate (E), maximum photochemical efficiency (Fv/Fm), actual photochemical efficiency (ΦPSII), antenna conversion efficiency (Fv′/Fm′), and photochemical quenching coefficient (qP). This disruption suggests a severe dysregulation of the photosynthetic electron transport system, impairing electron transfer from photosystem II (PSII) to photosystem I (PSI) and subsequently the Calvin cycle. Application of exogenous 24-epibrassinolide (EBR) alleviated these effects, reducing leaf chlorosis and growth inhibition and significantly enhancing the expression of key genes within the antioxidant system (AsA-GSH cycle) and the Calvin cycle. This intervention also led to a reduction in reactive oxygen species (ROS) accumulation and improved photosynthetic performance, as evidenced by enhancements in Pn, Gs, E, Fv/Fm, ΦPSII, Fv′/Fm′, and qP. Moreover, NaHCO3 stress hindered chlorophyll synthesis, primarily by blocking the conversion from porphobilinogen (PBG) to uroporphyrinogen III (UroIII) and by increasing chlorophyllase (Chlase) and decreasing porphobilinogen deaminase (PBGD) activity. Exogenous EBR countered these effects by enhancing PBGD activity and reducing Chlase activity, thereby increasing chlorophyll content under stress conditions. In summary, EBR markedly mitigated the adverse effects of alkaline stress on cucumber leaf photosynthesis by stabilizing the photosynthetic electron transport system, accelerating photosynthetic electron transport, and promoting the Calvin cycle. This study provides valuable insights into the regulatory roles of BRs in enhancing plant resilience to alkaline stress. Full article
(This article belongs to the Special Issue Advances in Biostimulant Use on Horticultural Crops)
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Figure 1

Figure 1
<p>Effects of EBR on plant phenotypes under NaHCO<sub>3</sub> stress. (CK denotes plants grown under normal Hoagland nutrient solution; CK + EBR denotes the addition of EBR under normal growth conditions; S denotes NaHCO<sub>3</sub> stress treatment; S + EBR denotes the addition of EBR under NaHCO<sub>3</sub> stress).</p>
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<p>Effects of EBR on superoxide anion (O<sub>2</sub><sup>−</sup>) and hydrogen peroxide (H<sub>2</sub>O<sub>2</sub>) staining in cucumber leaves under NaHCO<sub>3</sub> stress. (CK represents control plants grown in normal Hoagland nutrient solution; EBR denotes normal growth conditions with the addition of EBR; S indicates NaHCO<sub>3</sub> stress treatment; S + EBR indicates the addition of EBR under NaHCO<sub>3</sub> stress). Histochemical observations utilized Nitroblue Tetrazolium (NBT) for staining superoxide anion and Diaminobenzidine (DAB) for hydrogen peroxide.</p>
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<p>Influence of exogenous EBR on the transcript levels of key genes involved in the antioxidant and ascorbate–glutathione (ASA-GSH) cycles under NaHCO<sub>3</sub> stress in cucumber leaves. Panels represent transcript levels of (<b>A</b>) <span class="html-italic">CsCu-ZnSOD</span>, (<b>B</b>) <span class="html-italic">CsFeSOD</span>, (<b>C</b>) <span class="html-italic">CsAPX</span>, (<b>D</b>) <span class="html-italic">CsDHAR</span>, (<b>E</b>) <span class="html-italic">CsMDHAR</span>, (<b>F</b>) <span class="html-italic">CsGR</span>overall, (<b>G</b>) EBR modulation of the ASA-GSH cycle. Red symbols denote upregulated genes under stress conditions. Different lowercase letters indicate statistically significant differences among treatments at the 0.05 level (<span class="html-italic">p</span> &lt; 0.05, n = 3). Key abbreviations: SOD, superoxide dismutase; APX, ascorbate peroxidase; MDHAR, monodehydroascorbate reductase; DHAR, dehydroascorbate reductase; GR, glutathione reductase; AsA, ascorbic acid; MDHA, monodehydroascorbate; DHA, dehydroascorbic acid; GSH, glutathione; GSSG, oxidized glutathione. (CK represents control plants grown in normal Hoagland nutrient solution; CK + EBR denotes normal growth conditions with the addition of EBR; S indicates NaHCO<sub>3</sub> stress treatment; S + EBR indicates the addition of EBR under NaHCO<sub>3</sub> stress).</p>
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<p>Effects of EBR on net photosynthetic rate, Pn (<b>A</b>), transpiration rate, Tr (<b>B</b>), stomatal conductance, Cs (<b>C</b>), chlorophyll a content (<b>D</b>), chlorophyll b content (<b>E</b>), and chlorophyll a + b content (<b>F</b>) of cucumber seedlings under NaHCO<sub>3</sub> stress. (CK represents normal Hoagland nutrient solution culture; EBR represents the addition of EBR under normal growth conditions; S represents NaHCO<sub>3</sub> stress treatment; S + EBR represents the addition of EBR under NaHCO<sub>3</sub> stress).</p>
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<p>Effects of EBR on the contents of ALA (<b>A</b>), PBG (<b>B</b>), UroIII (<b>C</b>), ProtoIX (<b>D</b>), Mg-ProtoIX (<b>E</b>), and Pchl (<b>F</b>) in cucumber leaves under NaHCO<sub>3</sub> stress. (CK represents normal Hoagland nutrient solution culture; EBR represents the addition of EBR under normal growth conditions; S represents NaHCO<sub>3</sub> stress treatment; S + EBR represents the addition of EBR under NaHCO<sub>3</sub> stress).</p>
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<p>Effects of EBR on the activities of Chlase (<b>A</b>) and PBGD (<b>B</b>) in cucumber leaves under NaHCO<sub>3</sub> stress. Different lowercase letters indicate statistically significant differences among treatments at the 0.05 level (<span class="html-italic">p</span> &lt; 0.05, n = 3). (CK represents normal Hoagland nutrient solution culture; EBR represents the addition of EBR under normal growth conditions; S represents NaHCO<sub>3</sub> stress treatment; S + EBR represents the addition of EBR under NaHCO<sub>3</sub> stress).</p>
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<p>Effects of EBR on maximal photochemical efficiency of PSII, Fv/Fm (<b>A</b>); photochemical efficiency of PSII in the light, Fv′/Fm′ (<b>B</b>); photochemical quenching, qP (<b>C</b>); actual photochemical efficiency of PSII in the light, ΦPSII (<b>D</b>) in cucumber seedlings under NaHCO<sub>3</sub> stress. (CK represents normal Hoagland nutrient solution culture; EBR represents the addition of EBR under normal growth conditions; S represents NaHCO<sub>3</sub> stress treatment; S + EBR represents the addition of EBR under NaHCO<sub>3</sub> stress).</p>
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<p>Effects of EBR on the expression of genes related to photosynthesis in cucumber leaves under NaHCO<sub>3</sub> stress. The relative expression levels of <span class="html-italic">psbA</span> (<b>A</b>), <span class="html-italic">psbB</span> (<b>B</b>), <span class="html-italic">psaA</span> (<b>C</b>), <span class="html-italic">psaB</span> (<b>D</b>), <span class="html-italic">rbcL</span> (<b>E</b>), <span class="html-italic">rbcS</span> (<b>F</b>), <span class="html-italic">Rca</span> (<b>G</b>), <span class="html-italic">TPI</span> (<b>H</b>), <span class="html-italic">FBPase</span> (<b>I</b>), <span class="html-italic">SBPase</span> (<b>J</b>), <span class="html-italic">PRK</span> (<b>K</b>), and <span class="html-italic">Rupe</span> (<b>L</b>) were measured. Abbreviations: <span class="html-italic">rbcL</span>, ribulose-1,5-bisphosphate carboxylase/oxygenase large subunit; <span class="html-italic">rbcS</span>, ribulose-1,5-bisphosphate carboxylase/oxygenase small subunit; <span class="html-italic">Rca</span>, Rubisco activase; <span class="html-italic">TPI</span>, triose phosphate isomerase; <span class="html-italic">FBPase</span>, fructose-1,6-bisphosphatase; <span class="html-italic">SBPase</span>, sedoheptulose-1,7-bisphosphatase; <span class="html-italic">Rupe</span>, ribulose-5-phosphate epimerase; <span class="html-italic">PRK</span>, phosphoribulokinase. Different letters indicate significant differences (<span class="html-italic">p</span> &lt; 0.05; n = 3).</p>
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<p>Impact of EBR on photosynthetic electron transport and Calvin cycle in cucumber leaves under NaHCO<sub>3</sub> stress. Compared to the NaHCO<sub>3</sub> treatment, the application of exogenous EBR upregulated the expression of crucial photosynthesis-related genes. These include <span class="html-italic">psbA</span> and <span class="html-italic">psbB</span> associated with PSII; <span class="html-italic">psaA</span> and <span class="html-italic">psaB</span> integral to photosystem I (PSI); and key genes involved in the Calvin cycle such as <span class="html-italic">rbcL</span> and <span class="html-italic">rbcS</span>, which encode the large and small subunits of ribulose-1,5-bisphosphate carboxylase/oxygenase (Rubisco), respectively. Additionally, genes like <span class="html-italic">Rca</span> (Rubisco activase), <span class="html-italic">TPI</span> (triose phosphate isomerase), <span class="html-italic">FBPase</span> (fructose-1,6-bisphosphatase), <span class="html-italic">SBPase</span> (sedoheptulose-1,7-bisphosphatase), <span class="html-italic">Rupe</span> (ribulose-5-phosphate isomerase), and <span class="html-italic">PRK</span> (phosphoribulokinase) also showed significant upregulation. The red highlights in the figure indicate areas where the expression levels of these genes were significantly enhanced due to EBR treatment under NaHCO<sub>3</sub> stress. Key abbreviations: PSII (photosystem II); P680 (primary electron donor of PSII); PSI (photosystem I); P700 (primary electron donor of PSI); rbcL, <span class="html-italic">rbcS</span> (genes encoding the large and small subunits of Rubisco, respectively); 3-PGA (3-phosphoglyceric acid); Fru-1,6-P (fructose-1,6-bisphosphate); Fru-6-P (fructose-6-phosphate); Sed-7-P (sedoheptulose-7-phosphate); Ru-5-P (ribulose-5-phosphate); RuBP (ribulose-1,5-bisphosphate); <span class="html-italic">Rubisco</span> (ribulose-1,5-bisphosphate carboxylase/oxygenase).</p>
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25 pages, 7253 KiB  
Article
Waste-Derived High-Density Polyethylene-Glass Composites: A Pathway to Sustainable Structural Materials
by Lasan Wimalasuriya, Chamila Gunasekara, Dilan Robert, Sujeeva Setunge and Brian O’Donnell
Polymers 2025, 17(1), 35; https://doi.org/10.3390/polym17010035 - 27 Dec 2024
Viewed by 114
Abstract
Millions of tonnes of plastic and glass waste are generated worldwide, with only a marginal amount fed back into recycling with the majority ending at landfills and stockpiles. Excessive waste production calls for additional recycling pathways. The technology being investigated in this study [...] Read more.
Millions of tonnes of plastic and glass waste are generated worldwide, with only a marginal amount fed back into recycling with the majority ending at landfills and stockpiles. Excessive waste production calls for additional recycling pathways. The technology being investigated in this study is based on recycled glass fines encapsulated in a high-density polyethylene (HDPE) matrix. Laboratory tests are performed on specimens at different manufacturing conditions using compression moulding, determining an optimised manufacturing method. The performance of composites prepared under different formulations is tested to identify an optimised mix design by means of statistical analysis. At this optimum ratio, flexural, tensile, and compressive strengths of 33.3 MPa, 19.6 MPa, and 12.8 MPa, are, respectively, recorded. Upon identifying the optimum dosage levels, the potential for employing HDPE from diverse origins are investigated. The microstructure, pore structure, and chemistry of optimised composite specimens are analysed to interpret the composite performance. The effective stress transfer in the composite is attributed to strong hydrogen bonds created by maleic anhydride leading to 37.6% and 8.5% improvements in compressive and flexural strengths, respectively. These research findings can facilitate the pathway for utilising plastic and glass waste in landfills/stockpiles for sustainable polymeric composites towards structural applications. Full article
(This article belongs to the Section Polymer Composites and Nanocomposites)
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Figure 1
<p>PSD of grinded HDPE sources comparison.</p>
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<p>Raw material production, disposal, recycling routes, and composite preparation.</p>
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<p>Moulding time required at different moulding temperatures obtained with energy upscaling method for 12.7 mm panel thickness.</p>
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<p>Mechanical properties of composite materials: (<b>a</b>) strength vs. moulding temperature at 1.5 MPa and 10 min moulding time; (<b>b</b>) strength vs. moulding pressure at 150 °C and moulding times 5 and 10 min; and (<b>c</b>) strength vs. moulding time at 1.5 MPa and moulding temperatures 150 °C and 170 °C.</p>
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<p>Mechanical properties of composite materials: (<b>a</b>) effects of varying glass reinforcement percentage; (<b>b</b>) effect of varying glass particle size; (<b>c</b>) effect of varying levels of maleic anhydride compatibiliser; and (<b>d</b>) effects induced by varying levels of PE-alt-MAH compatibiliser.</p>
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<p>Mechanical properties of composite materials: (<b>a</b>) strength results with different HDPE sources; and (<b>b</b>) modulus results with different HDPE sources.</p>
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<p>Microstructure of composite material: (<b>a</b>) SEM image of surface; (<b>b</b>) EDS mapping of silicon layered on SEM image; (<b>c</b>) SEM image of glass particle; (<b>d</b>) EDS mapping on SEM image (<b>c</b>); and (<b>e</b>) EDS spectra of scanned region (<b>d</b>).</p>
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<p>Pore structure of composite material: (<b>a</b>) Micro CT image (front view) of specimen; (<b>b</b>) cross section at marked location A; (<b>c</b>) cross section at marked location B; and (<b>d</b>) cross section at marked location C.</p>
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<p>FTIR spectra measured for different HDPE sources.</p>
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<p>XRD patterns of HDPE sources.</p>
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<p>FTIR spectra measured for HDPE–glass composite.</p>
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<p>XRD Pattern measured for HDPE–glass composite.</p>
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13 pages, 2540 KiB  
Article
Exogenous Application of Lanthanum Chloride to Rice at Booting Stage Can Increase Chlorophyll Content, Modulate Chlorophyll Fluorescence and Promote Grain Yield Under Deficit Irrigation
by Peng Liu, Xilin Fang, Yue Wang, Xin Yang and Qiang Li
Agronomy 2025, 15(1), 32; https://doi.org/10.3390/agronomy15010032 - 26 Dec 2024
Viewed by 338
Abstract
To sustain agricultural productivity and safeguard global food security, and confront the escalating challenges posed by climate change and water scarcity, it is essential to enhance the growth and productivity of rice under water stress. This study investigated the effects of lanthanum chloride [...] Read more.
To sustain agricultural productivity and safeguard global food security, and confront the escalating challenges posed by climate change and water scarcity, it is essential to enhance the growth and productivity of rice under water stress. This study investigated the effects of lanthanum chloride on the chlorophyll fluorescence characteristics and grain yield of rice under different irrigation modes. The rice cultivar H You 518 was selected and sprayed 20, 100, or 200 mg·L−1 lanthanum chloride at the booting and heading stages under deficit irrigation (where no rewatering was applied after the initiation of stress, allowing the water layer to evaporate naturally under high temperatures) or conventional irrigation (with daily rewatering to maintain a consistent water level). The results showed that the application of low concentrations lanthanum chloride promoted the chlorophyll content, whereas high concentrations decreased the chlorophyll content, under deficit irrigation, the effect of lanthanum chloride on the green fluorescence parameters of rice leaves at the booting stage was greater than that at the heading stage, and the booting stage was more sensitive to water deficit. The application of 100 mg·L−1 lanthanum chloride reduced the initial fluorescence (F0) and the non-photochemical quenching coefficient (qN); promoted the activity of leaf photosynthetic system II (PSII); and maximized the photochemical quantum yield (Fv/Fm), photochemical quenching coefficient (qP), and PSII relative electron transfer efficiency (ETR). Under deficit irrigation, this treatment significantly enhanced grain yield by increasing the thousand-grain weight, spikelet filling rate, and number of grains per panicle. These results suggest that spraying 100 mg·L−1 lanthanum chloride at the booting stage under deficit irrigation can effectively increase the chlorophyll content, thereby increasing the light energy conversion efficiency of the PS II reaction center, ultimately resulting in increased spikelet filling rate and grain yields. Full article
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Figure 1
<p>Effect of lanthanum chloride on chlorophyll content of rice leaves under different irrigation modes. (<b>A</b>,<b>C</b>,<b>E</b>,<b>G</b>): deficient irrigation. (<b>B</b>,<b>D</b>,<b>F</b>,<b>H</b>): conventional irrigation. CK, 1, 2, and 3 represent four concentrations of 0 mg·L<sup>−1</sup>, 20 mg·L<sup>−1</sup>, 100 mg·L<sup>−1</sup>, and 200 mg·L<sup>−1</sup>, respectively. Vertical bars represent SEs (<span class="html-italic">n</span> = 3). Means with the same letters are not significantly different according to LSD (0.05).</p>
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<p>F0 changes after spraying lanthanum chloride under different irrigation modes. (<b>A</b>) Deficient irrigation. (<b>B</b>) Conventional irrigation. CK, 1, 2, and 3 represent four concentrations of 0 mg·L<sup>−1</sup>, 20 mg·L<sup>−1</sup>, 100 mg·L<sup>−1</sup>, and 200 mg·L<sup>−1</sup>, respectively. Vertical bars represent SE (<span class="html-italic">n</span> = 3), Means with the same letters are not significantly different according to LSD (0.05).</p>
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<p>Fv/Fm changes after spraying lanthanum chloride under different irrigation modes. (<b>A</b>) Deficient irrigation. (<b>B</b>) Conventional irrigation. CK, 1, 2, and 3 represent four concentrations of 0 mg·L<sup>−1</sup>, 20 mg·L<sup>−1</sup>, 100 mg·L<sup>−1</sup>, and 200 mg·L<sup>−1</sup>, respectively. Vertical bars represent SE (<span class="html-italic">n</span> = 3), Means with the same letters are not significantly different according to LSD (0.05).</p>
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<p>qP changes after spraying lanthanum chloride under different irrigation modes. (<b>A</b>) Deficient irrigation. (<b>B</b>) Conventional irrigation. CK, 1, 2, and 3 represent four concentrations of 0 mg·L<sup>−1</sup>, 20 mg·L<sup>−1</sup>, 100 mg·L<sup>−1</sup>, and 200 mg·L<sup>−1</sup>, respectively. Vertical bars represent SE (<span class="html-italic">n</span> = 3), Means with the same letters are not significantly different according to LSD (0.05).</p>
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<p>qN changes after spraying lanthanum chloride under different irrigation modes. (<b>A</b>) Deficient irrigation. (<b>B</b>) Conventional irrigation. CK, 1, 2, and 3 represent four concentrations of 0 mg·L<sup>−1</sup>, 20 mg·L<sup>−1</sup>, 100 mg·L<sup>−1</sup>, and 200 mg·L<sup>−1</sup>, respectively. Vertical bars represent SE (<span class="html-italic">n</span> = 3), Means with the same letters are not significantly different according to LSD (0.05).</p>
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<p>ETR changes after spraying lanthanum chloride under different irrigation modes. (<b>A</b>) Deficient irrigation. (<b>B</b>) Conventional irrigation. CK, 1, 2, and 3 represent four concentrations of 0 mg·L<sup>−1</sup>, 20 mg·L<sup>−1</sup>, 100 mg·L<sup>−1</sup>, and 200 mg·L<sup>−1</sup>, respectively. Vertical bars represent SE (<span class="html-italic">n</span> = 3), Means with the same letters are not significantly different according to LSD (0.05).</p>
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21 pages, 10053 KiB  
Article
A Study on the Bending Stiffness of Reinforced Concrete Tunnel Segments with Added Steel Fibers
by Fan Zhang, Wouter De Corte, Luc Taerwe, Weibiao Cao and Xian Liu
Materials 2025, 18(1), 48; https://doi.org/10.3390/ma18010048 - 26 Dec 2024
Viewed by 170
Abstract
In recent years, steel-fiber-reinforced concrete (SFRC) has been increasingly applied in shield tunnel engineering. However, most research on SFRC segments focuses on the load-bearing capacity, while the tunnel deformation is an equally critical indicator that decides if the tunnel can operate safely during [...] Read more.
In recent years, steel-fiber-reinforced concrete (SFRC) has been increasingly applied in shield tunnel engineering. However, most research on SFRC segments focuses on the load-bearing capacity, while the tunnel deformation is an equally critical indicator that decides if the tunnel can operate safely during service conditions. Therefore, it is essential to also study the stiffness variations in SFRC segments, which is closely connected to the serviceability limit state (SLS). To investigate the influence of SFRC on segment stiffness, full-scale four-point bending tests and analytical calculations are carried out on both traditional reinforced concrete (RC) segments and SFRC segments with rebars. A C55 plain concrete is used in the RC segment, and for SFRC, 30 kg/m3 steel fibers are added. The segment stiffnesses are calculated and analyzed, and compared between test and analytical results. This study shows that the addition of steel fibers to traditional reinforced concrete segments can enhance the bending stiffness. This effect becomes apparent only after the segments crack. Initially, the effect is strong but then becomes weaker, with increasing load. The added 30 kg/m3 steel fibers generate a maximum of 33% in stiffness increment for a segment with 2.1% reinforcement. Further analysis indicates that the transfer of stresses in the cracked SFRC results in a stiffness improvement, but after cracking, the contribution of the reinforcement to the flexural resistance increases while the contribution of the SFRC gradually decreases. Thus, the effect is weak at high load levels. This paper contributes to a better understanding of the effect of SFRC on the stiffness of segments, as relevant for SLS requirements. Full article
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Figure 1
<p>Segment dimensions and reinforcement.</p>
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<p>Loading and displacement sensors layout (D: displacement sensor).</p>
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<p>Layout of concrete strain gauges at lateral, intrados, and extrados surfaces (the green rectangle represents the strain gauge).</p>
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<p>Schematic diagram of the constitutive law for concrete in tension according to.</p>
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<p>Strain and stress diagram of segment cross section (<span class="html-italic">ε</span><sub>sc</sub>, <span class="html-italic">σ</span><sub>sc</sub>: the strain and stress of rebars at the extrados; <span class="html-italic">ε</span><sub>ss</sub>, <span class="html-italic">σ</span><sub>ss</sub>: the strain and stress of rebars at the intrados; <span class="html-italic">ε</span><sub>cc</sub>, <span class="html-italic">σ</span><sub>cc</sub>: the compressive strain and stress of concrete; <span class="html-italic">ε</span><sub>ct</sub>, <span class="html-italic">σ</span><sub>ct</sub>: the tensile strain and stress of concrete; <span class="html-italic">x</span>: the height of compression zone; <span class="html-italic">A</span>, <span class="html-italic">A</span><sub>s</sub>, <span class="html-italic">A’</span><sub>s</sub>: the areas of the segment cross section, the rebars at intrados and extrados; <span class="html-italic">M</span>, <span class="html-italic">N</span>: the bending moment and axial force).</p>
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<p>Load-CMOD curves of bending tests (6 specimens for each PC and SFRC).</p>
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<p>Development of cracks and segment failure: (<b>a</b>) Crack initialization; (<b>b</b>) diagonal shear cracks; (<b>c</b>) circumferential cracks; (<b>d</b>) segment failure.</p>
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<p>Development of cracks and segment failure: (<b>a</b>) Crack initialization; (<b>b</b>) diagonal shear cracks; (<b>c</b>) circumferential cracks; (<b>d</b>) segment failure.</p>
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<p>Segments failure: (<b>a</b>) The phenomena of RC segments at the ultimate state; (<b>b</b>) the phenomena of RC-SFRC segments at the ultimate state.</p>
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<p>Segments failure: (<b>a</b>) The phenomena of RC segments at the ultimate state; (<b>b</b>) the phenomena of RC-SFRC segments at the ultimate state.</p>
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<p>Deflection curve at mid-span.</p>
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<p>Concrete strains of RC segments at different height levels and different load values: (<b>a</b>) RCS1; (<b>b</b>) RCS2.</p>
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<p>Concrete strains of RC-SFRC segments at different height levels and different load values: (<b>a</b>) RC-SFRCS1; (<b>b</b>) RC-SFRCS2.</p>
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<p>Concrete strains of RC-SFRC segments at different height levels and different load values: (<b>a</b>) RC-SFRCS1; (<b>b</b>) RC-SFRCS2.</p>
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<p>Comparison between the test results and analytical model results of RC segments: (<b>a</b>) RCS1; (<b>b</b>) RCS2.</p>
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<p>Comparison between the test results and analytical model results of RC segments: (<b>a</b>) RCS1; (<b>b</b>) RCS2.</p>
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<p>Comparison between the test results and analytical model results of RC-SFRC segments: (<b>a</b>) RC-SRFCS1; (<b>b</b>) RC-SRFCS2.</p>
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<p>Comparison between the test results and analytical model results of RC-SFRC segments: (<b>a</b>) RC-SRFCS1; (<b>b</b>) RC-SRFCS2.</p>
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<p>Variation in the enhancement effect of SFRC on the stiffness under the increasing bending moment obtained from the analytical analysis: (<b>a</b>) stiffnesses under increasing bending moment; (<b>b</b>) index under increasing bending moment.</p>
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<p>Concrete and rebar tensile stress at rebar location: (<b>a</b>) rebar tensile stress under increasing bending moment; (<b>b</b>) concrete tensile stress under increasing bending moment.</p>
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<p>Bending moments carried by the steel rebars and concrete: (<b>a</b>) Bending moments carried by different materials; (<b>b</b>) relative ratio of bending moments carried by different materials.</p>
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21 pages, 3068 KiB  
Article
Analytical Solutions for Thermo-Mechanical Coupling Bending of Cross-Laminated Timber Panels
by Chen Li, Shengcai Li, Kong Yue, Peng Wu, Zhongping Xiao and Biqing Shu
Buildings 2025, 15(1), 26; https://doi.org/10.3390/buildings15010026 - 25 Dec 2024
Viewed by 19
Abstract
This study presents analytical solutions grounded in three-dimensional (3D) thermo-elasticity theory to predict the bending behavior of cross-laminated timber (CLT) panels under thermo-mechanical conditions, incorporating the orthotropic and temperature-dependent properties of wood. The model initially utilizes Fourier series expansion based on heat transfer [...] Read more.
This study presents analytical solutions grounded in three-dimensional (3D) thermo-elasticity theory to predict the bending behavior of cross-laminated timber (CLT) panels under thermo-mechanical conditions, incorporating the orthotropic and temperature-dependent properties of wood. The model initially utilizes Fourier series expansion based on heat transfer theory to address non-uniform temperature distributions. By restructuring the governing equations into eigenvalue equations, the general solutions for stresses and displacements in the CLT panel are derived, with coefficients determined through the transfer matrix method. A comparative analysis shows that the proposed solution aligns well with finite element results while offering superior computational efficiency. The solution based on the plane section assumption closely matches the proposed solution for thinner panels; however, discrepancies increase as panel thickness rises. Finally, this study explores the thermo-mechanical bending behavior of the CLT panel and proposes a modified superposition principle. The parameter study indicates that the normal stress is mainly affected by modulus and thermal expansion coefficients, while the deflection of the panel is largely dependent on thermal expansion coefficients but less affected by modulus. Full article
(This article belongs to the Section Building Materials, and Repair & Renovation)
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<p>Schematic diagram for CLT panel under thermo-mechanical coupling condition.</p>
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<p>Flow diagram for the eigenvalue method.</p>
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<p>Schematic diagram of transfer matrix relationship.</p>
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<p>Flow diagram for the present analytical process.</p>
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<p>Comparisons between experimental curves and numerical curve.</p>
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<p>Distribution of stress and displacement along the thickness of the CLT panel under the four kinds of action.</p>
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<p>Distribution of stress and displacement along the thickness of the CLT panel under the four kinds of action.</p>
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<p>Distribution of stress and displacement along the <span class="html-italic">z</span>-direction in the CLT panel of six kinds of wood in PT action.</p>
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<p>Distribution of stress and displacement along the <span class="html-italic">z</span>-direction in the CLT panel of six kinds of wood in PT action.</p>
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<p>Distribution of <span class="html-italic">z</span>-direction thermal stresses and displacements in the CLT panel made of redwood in PT action with three kinds of temperature differences.</p>
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<p>Effects of material constants on <math display="inline"><semantics> <mrow> <msubsup> <mi>σ</mi> <mrow> <mi>x</mi> <mi>max</mi> </mrow> <mi>i</mi> </msubsup> </mrow> </semantics></math> and <math display="inline"><semantics> <mrow> <msubsup> <mi>w</mi> <mrow> <mi>max</mi> </mrow> <mi>i</mi> </msubsup> </mrow> </semantics></math> of CLT panel in PT action.</p>
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16 pages, 8723 KiB  
Article
Heterologous Expression of a Potential ‘Paulownia fortunei’ MYB Factor Gene, PfMYB90, Improves Salt and Cold Tolerance in Arabidopsis
by Hongling Wang, Shizheng Shi, Guijie Luo, Ruifang Huang, Dezong Sui, Yunpeng Gao and Lei Wang
Plants 2025, 14(1), 24; https://doi.org/10.3390/plants14010024 - 25 Dec 2024
Viewed by 31
Abstract
The paulownia tree belongs to the Paulowniaceae family. Paulownia has strong vitality; has strong adaptability to harsh environmental conditions; and can be used as building raw material, as well as processing drugs and having other purposes. In the research field of MYB transcription [...] Read more.
The paulownia tree belongs to the Paulowniaceae family. Paulownia has strong vitality; has strong adaptability to harsh environmental conditions; and can be used as building raw material, as well as processing drugs and having other purposes. In the research field of MYB transcription factors of the paulownia tree, it is rare to discuss the resistance to abiotic stress. The research in this area has not received sufficient attention and depth, which also indicates an important potential direction for future research. In this study, we performed bioinformatics analysis of the stress-related gene PfMYB90, a potential transcription factor, and investigated its mechanism of action under salt and cold stresses. PfMYB90 was strongly expressed in the fully unfolded leaf and root of plants in both stress treatments. Transgenic PfMYB90 Arabidopsis plants had a greater survival rate under salt and cold stresses, and the degree of leaf damage was comparatively smaller, according to phenotypic observation and survival rate calculations. By measuring the corresponding physiological indexes after stress and detecting the expression levels of corresponding stress genes (AtNHX1, AtSOS1, AtSOS2, AtSOS3, AtCBF1, AtCBF3, AtCOR15a, AtRD29a), it was found that after PfMYB90 gene transfer, Arabidopsis showed strong tolerance to salt and cold stresses. This is consistent with the results mentioned above. This transgenic technology enables Arabidopsis to survive under adverse environmental conditions, allowing it to maintain a relatively stable growth state despite salt accumulation and cold stress. Therefore, PfMYB90 may be a key gene in the regulatory network of salt damage and cold damage, as well as one of the key transcription factors for Paulownia fortunei environmental conditions. Full article
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<p>PfMYB90 protein multiple sequencing analysis. (<b>A</b>) Alignment of MYB sequence. (<b>B</b>) The evolution tree. Target proteins are represented by the red lines, while R-repeat structures are shown by the yellow and green boxes.</p>
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<p>Subcellular location of PfMYB90. There are four frames in the image: (<b>A</b>,<b>E</b>) NLS-mCherry, (<b>B</b>,<b>F</b>) GFP, (<b>C</b>,<b>G</b>) Bright, and (<b>D</b>,<b>H</b>) Merge. bar = 30 μm.</p>
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<p>Expression of <span class="html-italic">PfMYB90</span>. (<b>A</b>) <span class="html-italic">PfMYB90</span> expression in various organs. <span class="html-italic">PfMYB90</span> expression levels in young leaf as a reference. (<b>B</b>) Relative expression of <span class="html-italic">PfMYB90</span> under stresses in fully unfolded leaf and (<b>C</b>) root. The expression level of 0 h was set to 1 as the control (CK). An error bar (<span class="html-italic">n</span> = 3) represents the standard deviation. ** <span class="html-italic">p</span>-value ≤ 0.01 and * <span class="html-italic">p</span>-value ≤ 0.05.</p>
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<p>Transgenic-<span class="html-italic">PfMYB90</span> enhanced the salt tolerance of <span class="html-italic">Arabidopsis</span>. (<b>A</b>) <span class="html-italic">PfMYB90</span> expression in transgenic lines (L1-6), unloaded lines (UL), and wild type (WT) <span class="html-italic">Arabidopsis</span> plants. (<b>B</b>) Phenotypes of <span class="html-italic">Arabidopsis</span> WT, UL, L1, L3, and L5 after 0 d (Salt 0 d) and 8 d (Salt 8 d) of treatment with 100 mM NaCl. Bar is equal to 4 cm. (<b>C</b>) <span class="html-italic">Arabidopsis</span> survival rates at Salt 0 d and Salt 8 d. Applying WT as a guide. An error bar (<span class="html-italic">n</span> = 3) represents the standard deviation. ** <span class="html-italic">p</span>-value ≤ 0.01 and * <span class="html-italic">p</span>-value ≤ 0.05.</p>
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<p>Analysis of (<b>A</b>) SOD, (<b>B</b>) POD, (<b>C</b>) proline, (<b>D</b>) chlorophyll, (<b>E</b>) CAT, (<b>F</b>) and MDA in <span class="html-italic">Arabidopsis</span> at 0 d (Salt 0 d) and 8 d (Salt 8 d) of treatment with 100 mM NaCl. Using WT indicators as controls. The SD is represented by an error bar (<span class="html-italic">n</span> = 3). ** <span class="html-italic">p</span>-value ≤ 0.01.</p>
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<p><span class="html-italic">Arabidopsis</span> salt-tolerance-related gene expression was detected by RT-qPCR. Relative expression levels of (<b>A</b>) <span class="html-italic">AtNHX1</span>, (<b>B</b>) <span class="html-italic">AtSOS1</span>, (<b>C</b>) <span class="html-italic">AtSOS2</span>, and (<b>D</b>) <span class="html-italic">AtSOS3</span> after 0 d (Salt 0 d) and 8 d (Salt 8 d) of treatment with 100 mM NaCl. Using WT as control. The SD is represented by an error bar (<span class="html-italic">n</span> = 3). ** <span class="html-italic">p</span>-value ≤ 0.01.</p>
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<p><span class="html-italic">Arabidopsis</span> phenotypic alterations and survival rate under cold stress. (<b>A</b>) The <span class="html-italic">Arabidopsis</span> phenotype (Cold 0 h, 12 h, and recover), with a scale of 4 cm. (<b>B</b>) Survival rate of <span class="html-italic">Arabidopsis</span> under CK (Cold 0 h) and cold stress (Cold 12 h). The SD is represented by an error bar (<span class="html-italic">n</span> = 3). ** <span class="html-italic">p</span>-value ≤ 0.01.</p>
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<p>Impact of the <span class="html-italic">PfMYB90</span> gene on the <span class="html-italic">Arabidopsis</span> cold tolerance index. WT was utilized as the control in (<b>A</b>) SOD, (<b>B</b>) POD, (<b>C</b>) proline, (<b>D</b>) chlorophyll, (<b>E</b>) CAT, and (<b>F</b>) MDA. There is an error bar (<span class="html-italic">n</span> = 3) that shows the SD. ** <span class="html-italic">p</span>-value ≤ 0.01.</p>
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<p>Expression levels of genes linked to cold stress in transgenic, UL, and WT <span class="html-italic">Arabidopsis</span> under cold stress conditions. (<b>A</b>) <span class="html-italic">AtCBF1</span>, (<b>B</b>) <span class="html-italic">AtCBF3</span>, (<b>C</b>) <span class="html-italic">AtCOR15a</span>, (<b>D</b>) <span class="html-italic">AtRD29a</span> relative expression levels. There is an error bar (<span class="html-italic">n</span> = 3) that shows the SD. ** <span class="html-italic">p</span>-value ≤ 0.01.</p>
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<p>A potential mechanistic model of PfMYB90 adaptation to cold and salt stress.</p>
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30 pages, 3893 KiB  
Article
Unusual Genomic and Biochemical Features of Paenarthrobacter lasiusi sp. nov—A Novel Bacterial Species Isolated from Lasius niger Anthill Soil
by Alexandra A. Dymova, Maxim A. Kovalev, Artemiy S. Silantyev, Anna A. Borzykh, Pamila J. Osipova, Svetlana V. Poddubko, Vladimir A. Mitkevich, Dmitry S. Karpov and Natalia V. Kostina
Int. J. Mol. Sci. 2025, 26(1), 67; https://doi.org/10.3390/ijms26010067 - 25 Dec 2024
Viewed by 40
Abstract
The black garden ant (Lasius niger) is a widely distributed species across Europe, North America, and North Africa, playing a pivotal role in ecological processes within its diverse habitats. However, the microbiome associated with L. niger remains poorly investigated. In the [...] Read more.
The black garden ant (Lasius niger) is a widely distributed species across Europe, North America, and North Africa, playing a pivotal role in ecological processes within its diverse habitats. However, the microbiome associated with L. niger remains poorly investigated. In the present study, we isolated a novel species, Paenarthrobacter lasiusi, from the soil of the L. niger anthill. The genome of P. lasiusi S21 was sequenced, annotated, and searched for groups of genes of physiological, medical, and biotechnological importance. Subsequently, a series of microbiological, physiological, and biochemical experiments were conducted to characterize P. lasiusi S21 with respect to its sugar metabolism, antibiotic resistance profile, lipidome, and capacity for atmospheric nitrogen fixation, among others. A notable feature of the P. lasiusi S21 genome is the presence of two prophages, which may have horizontally transferred host genes involved in stress responses. P. lasiusi S21 synthesizes a number of lipids, including mono- and digalactosyldiacylglycerol, as well as steroid compounds that are typically found in eukaryotic organisms rather than prokaryotes. P. lasiusi S21 exhibits resistance to penicillins, lincosamides, fusidins, and oxazolidinones, despite the absence of specific genes conferring resistance to these antibiotics. Genomic data and physiological tests indicate that P. lasiusi S21 is nonpathogenic to humans. The genome of P. lasiusi S21 contains multiple operons involved in heavy metal metabolism and organic compound inactivation. Consequently, P. lasiusi represents a novel species with an intriguing evolutionary history, manifesting in distinctive genomic, metabolomic, and physiological characteristics. This species may have potential applications in the bioaugmentation of contaminated soils. Full article
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<p>The phylogenetic tree of bacteria from the genera <span class="html-italic">Arthrobacter</span>, <span class="html-italic">Paenarthrobacter</span>, <span class="html-italic">Pseudarthrobacter</span>, <span class="html-italic">Glutamicibacter</span>, <span class="html-italic">Paeniglutamicibacter</span>, <span class="html-italic">Pseudoglutamicibacter</span>, and <span class="html-italic">Falsarthrobacter</span> based on the 16S rRNA gene sequences. The outgroup is <span class="html-italic">Microbacterium lacticum</span>. Additionally, the names of the genera are indicated. The tree was created using MEGA-X.</p>
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<p>The phylogenetic tree of bacteria from the genera <span class="html-italic">Arthrobacter</span>, <span class="html-italic">Paenarthrobacter</span>, <span class="html-italic">Pseudarthrobacter</span>, <span class="html-italic">Glutamicibacter</span>, and <span class="html-italic">Paeniglutamicibacter</span> based on concatenated housekeeping genes (<span class="html-italic">atpD</span>, <span class="html-italic">fusA</span>, <span class="html-italic">recA</span>, <span class="html-italic">rpoB</span>, <span class="html-italic">secY</span>, <span class="html-italic">tuf</span>). The outgroup is <span class="html-italic">Microbacterium lacticum</span>. Additionally, the names of the genera are indicated. The tree was created using MEGA-X.</p>
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<p>The heatmap of the ANI values between bacterial genomes of the genus <span class="html-italic">Paenarthrobacter</span>, as deposited at NCBI. The heatmap is based on the ANI matrix, which was calculated using the FastANI algorithm and is presented in <a href="#app1-ijms-26-00067" class="html-app">Table S4</a>.</p>
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<p>Overall statistics for genes encoding <span class="html-italic">P. lasiusi</span> S21 subsystems.</p>
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<p>Enzyme genes and the degradation reactions of aromatic compounds catalyzed by them. (<b>A</b>) Biochemical reactions for the degradation of aromatic compounds that can be carried out by several enzymes encoded by the <span class="html-italic">P. lasiusi</span> S21 genome. (<b>B</b>) Cluster of genes involved in the degradation of organic compounds found in contig 4.</p>
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<p>Structure of the lipidome of <span class="html-italic">P. lasiusi</span> S21. (<b>A</b>) Relative content of 42 abundant lipid subclasses. (<b>B</b>) Relative content of 27 minor (&lt;0.7%) lipid subclasses. (<b>C</b>) Pie chart of the relative content of the 8 major lipid classes. Abbreviations: CL: Cardiolipin; EtherPC: Ether-linked phosphatidylcholine; HBMP: Hemibismonoacylglycerophosphate; LPC: Lysophophatidylcholine; PC: Phosphatidylcholine; PE: Phosphatidylethanolamine; PG: Phosphatidylglycerol; PI: Phosphatidylinositol; PS: Phosphatidylserine; TG_EST: Triacylglycerol estolides; DGDG: Digalactosyldiacylglycerol; EtherDGDG: Ether-linked digalactosyldiacylglycerol; EtherMGDG: Ether-linked monogalactosyldiacylglycerol; MGDG: Monogalactosyldiacylglycerol; DG: Diacylglycerol; EtherDG: Ether-linked diacylglycerol; MG: Monoacylglycerol; TG: Triacylglycerol; AHexCer: Acylhexosylceramide; ASM: Acylsphingomyelin; Cer_AP: Ceramide alpha-hydroxy fatty acid-phytospingosine; Cer_HS: Ceramide hydroxy fatty acid-sphingosine; Cer_NS: Ceramide non-hydroxyfatty acid-sphingosine; DHSph: Sphinganine; PhytoSph: Phytosphingosine; SHexCer: Sulfatide (from group of Acidic glycosphingolipids); SL: Sulfonolipid (from group of Sphingoid bases); SM: Sphingomyelin; CAR: Acylcarnitine; NAE: N-acyl ethanolamines; NAGly: N-acyl glycine; NAGlySer: N-acyl glycyl serine; NAOrn: N-acyl ornithine; AHexBRS: Acylhexosyl brassicasterol; AHexSIS: Acylhexosyl sitosterol; AHexSTS: Acylhexosyl stigmasterols; CE: Cholesteryl ester; ST: Sterol; CoQ: Coenzyme Q; VAE: Vitamin A fatty acid ester.</p>
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10 pages, 282 KiB  
Article
Investigating the Potential Effects of Microplastics on the Growth and Functional Traits in Two Aquatic Macrophytes (Myriophyllum spicatum and Phragmites australis) in Mesocosm Experiments
by Lele Liu, Borbala Codogno, Wei Wei, Xiya Zhang, Jian Gao, Valeriia Dokuchaeva, Luyao Ma, Pan Wu, Qing Yu and Weihua Guo
Water 2025, 17(1), 14; https://doi.org/10.3390/w17010014 - 24 Dec 2024
Viewed by 23
Abstract
In the last decade, microplastics (MPs) have become a significant environmental pollutant with potential negative effects on aquatic biodiversity and ecosystems. This mesocosm study examined the effect of MPs on the growth and physiology of two common aquatic macrophytes (Myriophyllum spicatum and [...] Read more.
In the last decade, microplastics (MPs) have become a significant environmental pollutant with potential negative effects on aquatic biodiversity and ecosystems. This mesocosm study examined the effect of MPs on the growth and physiology of two common aquatic macrophytes (Myriophyllum spicatum and Phragmites australis), focusing on changes in biomass allocation and nutrient contents. We evaluated oxidative stress responses by measuring superoxide dismutase, malondialdehyde, soluble sugars, free amino acids, and glutamate synthetase activities for M. spicatum, and we assessed photosynthetic processes through metrics including Fv/Fm, electron transfer rate, and Y(II) for P. australis. Unlike most previous studies in plants, we found that the growth and all functional traits of these two plants were not significantly affected by the common MP type (polyethylene) at either low or high concentrations. Additionally, we have examined the impact of another type of MP (polystyrene) on P. australis, and no significant effect was observed. In conjunction with prior case studies, the majority of which demonstrated the toxic impacts of MPs, our research indicates that plants exhibit a species-specific response to MPs. In addition to the strong adaptation of widespread plants used in this study, the large experimental system and relative long-term treatment may also explain our negative results. Our study highlights the need to further investigate species-specific tolerances and adaptive responses to MPs to better understand their ecological impacts. Full article
(This article belongs to the Special Issue Microplastics Pollution in Aquatic Environments)
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<p>The comparisons of total biomass (<b>A</b>,<b>B</b>) and leaf N (<b>C</b>,<b>D</b>) in <span class="html-italic">Myriophyllum spicatum</span> (<b>A</b>,<b>C</b>) and <span class="html-italic">Phragmites australis</span> (<b>B</b>,<b>D</b>) parameters between different microplastics treatments (PE, polyethylene; PS, polystyrene). The same letter denotes no significant differences between groups with one-way ANOVA under α = 0.05.</p>
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18 pages, 3040 KiB  
Article
Bioconvective Flow Characteristics of NEPCM–Water Nanofluid over an Inclined Cylinder in Porous Medium: An Extended Darcy Model Approach
by Bikash Das, Sahin Ahmed and Joaquín Zueco
Mathematics 2024, 12(24), 4012; https://doi.org/10.3390/math12244012 - 20 Dec 2024
Viewed by 418
Abstract
Bioconvection phenomena play a pivotal role in diverse applications, including the synthesis of biological polymers and advancements in renewable energy technologies. This study develops a comprehensive mathematical model to examine the effects of key parameters, such as the Lewis number (Lb), Peclet number [...] Read more.
Bioconvection phenomena play a pivotal role in diverse applications, including the synthesis of biological polymers and advancements in renewable energy technologies. This study develops a comprehensive mathematical model to examine the effects of key parameters, such as the Lewis number (Lb), Peclet number (Pe), volume fraction (φ), and angle of inclination (α), on the flow and heat transfer characteristics of a nanofluid over an inclined cylinder embedded in a non-Darcy porous medium. The investigated nanofluid comprises nano-encapsulated phase-change materials (NEPCMs) dispersed in water, offering enhanced thermal performance. The governing non-linear partial differential equations are transformed into dimensionless ordinary differential equations using similarity transformations and solved numerically via the Network Simulation Method (NSM) and an implicit Runge–Kutta method implemented through the bvp4c routine in MATLAB R2021a. Validation against the existing literature confirms the accuracy and reliability of the numerical approach, with strong convergence observed. Quantitative analysis reveals that an increase in the Peclet number reduces the shear stress at the cylinder wall by up to 18% while simultaneously enhancing heat transfer by approximately 12%. Similarly, the angle of inclination (α) significantly boosts heat transmission rates. Additionally, higher Peclet and Lewis numbers, along with greater nanoparticle volume fractions, amplify the density gradient of microorganisms, intensifying the bioconvection process by nearly 15%. These findings underscore the critical interplay between bioconvection and transport phenomena, providing a framework for optimizing bioconvection-driven heat and mass transfer systems. The insights from this investigation hold substantial implications for industrial processes and renewable energy technologies, paving the way for improved efficiency in applications such as thermal energy storage and advanced cooling systems. Full article
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<p>Physical flow configuration.</p>
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<p>Network scheme for the momentum equation.</p>
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<p>Influence of <math display="inline"><semantics> <mrow> <mi>ϵ</mi> </mrow> </semantics></math> and <math display="inline"><semantics> <mrow> <mi>L</mi> <mi>b</mi> </mrow> </semantics></math> over the (<b>a</b>) velocity, (<b>b</b>) temperature, (<b>c</b>) concentration, and (<b>d</b>) density of motile microorganisms.</p>
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<p>Influence of <math display="inline"><semantics> <mrow> <mi>P</mi> <mi>e</mi> </mrow> </semantics></math> and <math display="inline"><semantics> <mrow> <mi>φ</mi> </mrow> </semantics></math> over (<b>a</b>) velocity, (<b>b</b>) temperature, (<b>c</b>) concentration, and (<b>d</b>) density of motile microorganisms.</p>
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<p>Influence of <math display="inline"><semantics> <mrow> <mi>K</mi> </mrow> </semantics></math> and <math display="inline"><semantics> <mrow> <mi>F</mi> <mi>r</mi> </mrow> </semantics></math> over (<b>a</b>) velocity, (<b>b</b>) temperature, (<b>c</b>) concentration, and (<b>d</b>) density of motile microorganism.</p>
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17 pages, 9960 KiB  
Article
Simulation and Assessment of Thermal-Stress Analysis of Welding Materials in IGBT
by Yang Yang, Jibing Chen, Bowen Liu and Yiping Wu
Micromachines 2024, 15(12), 1519; https://doi.org/10.3390/mi15121519 - 20 Dec 2024
Viewed by 270
Abstract
Insulated gate bipolar transistors (IGBTs), as an important power semiconductor device, are susceptible to thermal stress, thermal fatigue, and mechanical stresses under high-voltage, high-current, and high-power conditions. Elevated heat dissipation within the module leads to fluctuating rises in temperature that accelerate its own [...] Read more.
Insulated gate bipolar transistors (IGBTs), as an important power semiconductor device, are susceptible to thermal stress, thermal fatigue, and mechanical stresses under high-voltage, high-current, and high-power conditions. Elevated heat dissipation within the module leads to fluctuating rises in temperature that accelerate its own degradation and failure, ultimately causing damage to the module as a whole and posing a threat to operator safety. Through ANSYS Workbench simulation analysis, it is possible to accurately predict the temperature distribution, equivalent stress, and equivalent strain of solder materials under actual working conditions, thus revealing the changing laws of the heat–mechanical interaction in solder materials. Simulation analysis results show that, under steady-state operating conditions, the highest point of the IGBT module’s overall junction temperature occurs in the center of the chip. Nanogold exhibited the best performance in terms of temperature and equivalent stress-strain among the five solders studied in this paper; defects near the edges caused greater harm to the module compared to those closer to the solder layer’s center. In terms of stress, defects located near the edge corners produced larger strains. Crazing damage in joints allows for a faster transfer of heat sources away from the center; in terms of stress, crazing has fewer detrimental effects on the integrity of the module as compared to through cracks. Simulation analysis can model the interaction of heat and equipment under realistic work conditions, comparing and evaluating different types of solder materials to select the most suitable solder material for product design and material selection. This aids in enhancing design precision and reliability. Full article
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<p>3D geometric model of the IGBT module.</p>
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<p>Thermal characteristics of the IGBT module: (<b>a</b>) IGBT temperature distribution; (<b>b</b>) IGBT heat flow direction.</p>
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<p>Thermal-mechanical coupling nanosilver solder: (<b>a</b>) thermal stability nanosilver solder; (<b>b</b>) equivalent elastic strain nanosilver solder; (<b>c</b>) surface deformation nanosilver solder.</p>
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<p>Thermal-mechanical coupling nanosilver solder: (<b>a</b>) thermal stability nanosilver solder; (<b>b</b>) equivalent elastic strain nanosilver solder; (<b>c</b>) surface deformation nanosilver solder.</p>
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<p>Thermal–mechanical coupling of SnPbAg solder: (<b>a</b>) thermal stability of SnPbAg solder; (<b>b</b>) equivalent elastic strain of SnPbAg solder; (<b>c</b>) surface deformation of SnPbAg solder.</p>
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<p>Thermal–mechanical coupling of SnPbAg solder: (<b>a</b>) thermal stability of SnPbAg solder; (<b>b</b>) equivalent elastic strain of SnPbAg solder; (<b>c</b>) surface deformation of SnPbAg solder.</p>
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<p>SnCu0.7 solder thermal–mechanical coupling: (<b>a</b>) SnCu0.7 thermal stability; (<b>b</b>) SnCu0.7 equivalent elastic strain; (<b>c</b>) SnCu0.7 solder surface deformation amount.</p>
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<p>SnCu0.7 solder thermal–mechanical coupling: (<b>a</b>) SnCu0.7 thermal stability; (<b>b</b>) SnCu0.7 equivalent elastic strain; (<b>c</b>) SnCu0.7 solder surface deformation amount.</p>
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<p>Thermal–mechanical coupling of Sn63Pb37: (<b>a</b>) thermal stability of Sn63Pb37; (<b>b</b>) equivalent elastic strain of Sn63Pb37; (<b>c</b>) surface deformation of Sn63Pb37 solder.</p>
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<p>Thermal–mechanical coupling of Sn63Pb37: (<b>a</b>) thermal stability of Sn63Pb37; (<b>b</b>) equivalent elastic strain of Sn63Pb37; (<b>c</b>) surface deformation of Sn63Pb37 solder.</p>
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<p>Thermal–mechanical coupling of SnAgCu solder: (<b>a</b>) thermal stability of SnAgCu solder; (<b>b</b>) equivalence of SnAgCu solder; (<b>c</b>) surface deformation of SnAgCu solder.</p>
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<p>Thermal–mechanical coupling of SnAgCu solder: (<b>a</b>) thermal stability of SnAgCu solder; (<b>b</b>) equivalence of SnAgCu solder; (<b>c</b>) surface deformation of SnAgCu solder.</p>
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<p>Positions of voids in the solder layer.</p>
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<p>Temperature cloud map of solder layer at various cavity positions of IGBT: (<b>a</b>) cavity 1; (<b>b</b>) cavity 2; (<b>c</b>) cavity 4; (<b>d</b>) cavity 7.</p>
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<p>Equivalent stress of solder layer at different cavity locations.</p>
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<p>Cloud diagram of temperature changes of non-through holes as void size increases: (<b>a</b>) temperature change cloud diagram for 0.1 mm void; (<b>b</b>) temperature change cloud diagram for 0.7 mm void; (<b>c</b>) temperature change cloud diagram for 0.9 mm void; (<b>d</b>) temperature change cloud diagram for 1 mm void.</p>
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<p>Temperature variation contour map of through-hole welding with increasing cavity size: (<b>a</b>) temperature variation contour map for 0.3 mm cavity; (<b>b</b>) temperature variation contour map for 0.5 mm cavity; (<b>c</b>) temperature variation contour map for 0.7 mm cavity; (<b>d</b>) temperature variation contour map for 1 mm cavity.</p>
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<p>Temperature variation contour map of through-hole welding with increasing cavity size: (<b>a</b>) temperature variation contour map for 0.3 mm cavity; (<b>b</b>) temperature variation contour map for 0.5 mm cavity; (<b>c</b>) temperature variation contour map for 0.7 mm cavity; (<b>d</b>) temperature variation contour map for 1 mm cavity.</p>
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<p>Variation of junction temperature and cavity radius trend: (<b>a</b>) junction temperature variation under non-through and through crack forms; (<b>b</b>) junction temperature variation with cavity radius under non-through and through conditions.</p>
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<p>Equivalent stress of solder layer under different crack damage.</p>
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27 pages, 8495 KiB  
Review
Rejuvenation of the Springs in the Hindu Kush Himalayas Through Transdisciplinary Approaches—A Review
by Neeraj Pant, Dharmappa Hagare, Basant Maheshwari, Shive Prakash Rai, Megha Sharma, Jen Dollin, Vaibhav Bhamoriya, Nijesh Puthiyottil and Jyothi Prasad
Water 2024, 16(24), 3675; https://doi.org/10.3390/w16243675 - 20 Dec 2024
Viewed by 598
Abstract
The Hindu Kush Himalayan (HKH) region, known as the “water tower of the world,” is experiencing severe water scarcity due to declining discharge of spring water across the HKH region. This decline is driven by climate change, unsustainable human activities, and rising water [...] Read more.
The Hindu Kush Himalayan (HKH) region, known as the “water tower of the world,” is experiencing severe water scarcity due to declining discharge of spring water across the HKH region. This decline is driven by climate change, unsustainable human activities, and rising water demand, leading to significant impacts on rural agriculture, urban migration, and socio-economic stability. This expansive review judiciously combines both the researchers’ experiences and a traditional literature review. This review investigates the factors behind reduced spring discharge and advocates for a transdisciplinary approach to address the issue. It stresses integrating scientific knowledge with community-based interventions, recognizing that water management involves not just technical solutions but also human values, behaviors, and political considerations. The paper explores the benefits of public–private partnerships (PPPs) and participatory approaches for large-scale spring rejuvenation. By combining the strengths of both sectors and engaging local communities, sustainable spring water management can be achieved through collaborative and inclusive strategies. It also highlights the need for capacity development and knowledge transfer, including training local hydrogeologists, mapping recharge areas, and implementing sustainable land use practices. In summary, the review offers insights and recommendations for tackling declining spring discharge in the HKH region. By promoting a transdisciplinary, community-centric approach, it aims to support policymakers, researchers, and practitioners in ensuring the sustainable management of water resources and contributing to the United Nations Sustainable Development Goals (SDGs). Full article
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<p>Map of the Hindu Kush Himalayan region and the sub-watersheds Indus, Ganga, Brahmaputra, Qinghai–Tibetan, and Irrawaddy. The population in each river basin is presented after [<a href="#B31-water-16-03675" class="html-bibr">31</a>].</p>
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<p>Schematic representing the systematic literature review (PRISMA method).</p>
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<p>The data for the HKH region showing the changes in temperature and rainfall patterns from 1901 to 2016 at Srinagar, Kathmandu and Lhasa in the HKH region [Data source: Climate Research Unit (CRU) Time Series (TS) Volume 4.01 [<a href="#B156-water-16-03675" class="html-bibr">156</a>]. Here, the black dot represents the respective location Srinagar, Kathmandu and Lasha temperature and precipitation.</p>
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<p>Change in LULC (Barren to Pine Forest) pattern between 1990 and 2022 of Kanlei Village in Khulgad watershed, Almora, India. The red arrow indicates the same tree as a marker location.</p>
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<p>Community participation in constructing trenches and pits for rainwater harvesting under mechanical recharge interventions.</p>
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<p>Conceptual framework of Assisted Natural Regeneration (ANR) strategy for forest rehabilitation (modified after [<a href="#B88-water-16-03675" class="html-bibr">88</a>]).</p>
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<p>Comparison of the Shyahidevi Reserve Forest of Almora, India, between 2012 and 2023 (Source of Photograph: Mr. Gajendra Pathak, Shitalakhet).</p>
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<p>Collective action for water resource management with PPP model.</p>
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<p>Conceptual diagram representing the four major pillars of spring water resources management, highlighting major contributing subsets collaborated after the critical review.</p>
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14 pages, 2107 KiB  
Article
Physiological Responses of Cucumber Seedlings to Combined High-Temperature and High-Humidity Stress at Different Leaf Stages
by Xi’ao Wang, Yupeng Pan, Hanqiang Liu, Huanwen Meng and Zhihui Cheng
Horticulturae 2024, 10(12), 1369; https://doi.org/10.3390/horticulturae10121369 - 20 Dec 2024
Viewed by 338
Abstract
The growth and development of plants are closely tied to growth stages, such as germination, flower bud differentiation, photosynthesis, water and fertilizer use efficiency, stress resistance, etc. Previous studies on the stress resistance of plants with different leaf stages have primarily focused on [...] Read more.
The growth and development of plants are closely tied to growth stages, such as germination, flower bud differentiation, photosynthesis, water and fertilizer use efficiency, stress resistance, etc. Previous studies on the stress resistance of plants with different leaf stages have primarily focused on single-factor environmental conditions. However, there has been a lack of systematic research on the physiology of plant seedlings under combined high-temperature and high-humidity (HH) stress, and the relationship between cucumber growth stages and HH tolerance remains unclear. In this study, we analyzed the phenotype, photosynthetic characteristics, reactive oxygen species content, and antioxidant enzyme activity of cucumber seedlings at 1-, 2-, 3-, and 4-leaf stages under control (25 °C + 80%RH, CK) and HH (42 °C + 95%RH) stress, aiming to clarify the relationship between growth stage and cucumber HH tolerance. The results indicated that the HH tolerance of cucumber seedlings increases with leaf stage. Seedlings at 1-leaf and 2-leaf stages were most sensitive to HH, whereas 4-leaf seedlings showed the greatest tolerance. Under HH stress, the biomass, chlorophyll content, net photosynthetic rate, and photosynthetic electron transfer rate were significantly reduced compared to CK. Simultaneously, there was an increase in reactive oxygen species content and antioxidant enzyme activity. The relative values for dry weight, total chlorophyll content, net photosynthetic rate, Fv/Fm, qP, ETR, and Y (II) in 1-leaf and 2-leaf seedlings were significantly lower, while ROS accumulation and changes in antioxidant enzyme activity were significantly higher compared to 4-leaf seedlings. This lays a foundation for future studies on the growth and physiological response of cucumber plants at different growth stages under varying temperature and humidity combined stresses. Full article
(This article belongs to the Special Issue Biotic and Abiotic Stress Responses of Horticultural Plants)
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<p>Phenotypes of different leaf-stage cucumber seedlings at 8 h after HH stress.</p>
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<p>Relative biomass of different leaf-stage cucumber seedlings 8 h after treatments. (<b>A</b>) Leaf fresh weight; (<b>B</b>) top part fresh weight; (<b>C</b>) root fresh weight; (<b>D</b>) whole-plant fresh weight; (<b>E</b>) leaf dry weight; (<b>F</b>) top part dry weight; (<b>G</b>) root dry weight; (<b>H</b>) whole-plant dry weight. Values are means ± SD from three biological replicates, ANOVA and Tukey HSD test, <span class="html-italic">p</span> &lt; 0.05. Different letters on the bars represent significant differences while same letters represent non-significant difference among treatment.</p>
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<p>Relative values of photosynthetic pigment content of different leaf-stage cucumber seedlings 6 h after HH stress: (<b>A</b>) chlorophyll a; (<b>B</b>) chlorophyll b; (<b>C</b>) carotenoids; (<b>D</b>) total chlorophyll; (<b>E</b>) total pigment. Values are means ± SD from three biological replicates, ANOVA and Tukey HSD test, <span class="html-italic">p</span> &lt; 0.05. Different letters on the bars represent significant differences while same letters represent non-significant difference among treatment.</p>
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<p>Relative values of photosynthesis parameters of different leaf-stage cucumber seedlings 6 h after HH stress. (<b>A</b>) Net photosynthesis rate; (<b>B</b>) stomatal conductance; (<b>C</b>) intercellular carbon dioxide concentration; (<b>D</b>) transpiration rate. Values are means ± SD from three biological replicates, ANOVA and Tukey HSD test, <span class="html-italic">p</span> &lt; 0.05. Different letters on the bars represent significant differences while same letters represent non-significant difference among treatment.</p>
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<p>Relative values of chlorophyll fluorescence parameters in different leaf-stage cucumber seedlings 6 h after HH stress. (<b>A</b>) Fv/Fm; (<b>B</b>) qP; (<b>C</b>) NPQ; (<b>D</b>) ETR; (<b>E</b>) Y(II); (<b>F</b>) Y(NPQ); (<b>G</b>) Y(NO). Values are means ± SD from three biological replicates, ANOVA and Tukey HSD test, <span class="html-italic">p</span> &lt; 0.05. Different letters on the bars represent significant differences while same letters represent non-significant difference among treatment.</p>
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<p>Relative value of reactive oxygen species content in different leaf-stage cucumber seedlings 6 h after HH stress. (<b>A</b>) O<sub>2</sub><sup>●−</sup> content; (<b>B</b>) H<sub>2</sub>O<sub>2</sub> content. Values are means ± SD from three biological replicates, ANOVA and Tukey HSD test, <span class="html-italic">p</span> &lt; 0.05. Different letters on the bars represent significant differences while same letters represent non-significant difference among treatment.</p>
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<p>Relative values of antioxidant enzyme activities in different leaf-stage cucumber seedlings 6 h after HH stress. (<b>A</b>) SOD activity. (<b>B</b>) POD activity. (<b>C</b>) CAT activity. Values are means ± SD from three biological replicates, ANOVA and Tukey HSD test, <span class="html-italic">p</span> &lt; 0.05. Different letters on the bars represent significant differences while same letters represent non-significant difference among treatment.</p>
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10 pages, 406 KiB  
Article
The Relationship Between Oxidative Stress and Infertility Due to Antihypertensive Drugs in Rattus Norvegicus
by Berna Asir and Yakup Kumtepe
Animals 2024, 14(24), 3674; https://doi.org/10.3390/ani14243674 - 20 Dec 2024
Viewed by 362
Abstract
This study aimed to investigate the effect of antihypertensive drugs on reproductive function in Rattus norvegicus and demonstrate the potential role of oxidative stress in reproductive dysfunction. Rattus norvegicus were selected as the experimental animals and divided into the following groups: healthy (control [...] Read more.
This study aimed to investigate the effect of antihypertensive drugs on reproductive function in Rattus norvegicus and demonstrate the potential role of oxidative stress in reproductive dysfunction. Rattus norvegicus were selected as the experimental animals and divided into the following groups: healthy (control group), clonidine (CL), rilmenidine (RLD), methyldopa (MTL), amlodipine (ALD), and ramipril (RML). Each individual in each group was marked from one to six. Doses of clonidine (0.075 mg/kg), rilmenidine (0.5 mg/kg), methyldopa (100 mg/kg), amlodipine (2 mg/kg), and ramipril (2 mg/kg) were administered orally via gavage to each Rattus norvegicus. Using blood obtained from Rattus norvegicus, the absorbance of the pink-colored complex formed by thiobarbituric acid (TBA) and malondialdehyde (MDA) was measured spectrophotometrically at the 532 nm wavelength. Blood samples were collected from the tail veins to analyze serum malondialdehyde (MDA) and total glutathione levels in the serum of all Rattus norvegicus. After sampling, two mature male Rattus norvegicus were introduced to every group of six female Rattus norvegicus and accommodated in a controlled laboratory environment for two months. Any female Rattus norvegicus that became pregnant during this time was transferred to a solitary cage within a controlled setting. Rattus norvegicus that did not become pregnant and did not give birth during this period were considered infertile. The results were compared among the groups. Total glutathione (tGSH) levels were determined using a spectrophotometer. According to our study, the increase in MDA levels observed was not statistically significant in the CL and RLD groups compared to that in the control group. MDA levels were significantly increased in the methyldopa, amlodipine, and RML groups. While total glutathione levels in the CL group were similar to those in the control group, the RLD, MTL, ALD, and RML groups showed a statistically significant decrease. While the animals in the CL and RLD groups were not infertile, infertility was apparent in the groups treated with MTL, ALD, and RML. Thus, it was determined that the antihypertensive drugs MTL, ALD, and RML had different effects on fertility, and that the use of such drugs could cause infertility by increasing oxidative stress and decreasing antioxidant levels. Full article
(This article belongs to the Section Animal Reproduction)
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<p>Comparison of MDA and tGSH results in each group vs. the control group.</p>
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19 pages, 24243 KiB  
Article
Water Redistribution in Vein Quartz Under Progressive Deformation (During Plastic Deformation): μFTIR and EBSD Study (Western Transbaikalia, Russia)
by Elvira N. Kungulova, Artem A. Bibko, Roman Y. Shendrik, Evgeny N. Moskvichev, Dmitry V. Lychagin and Platon A. Tishin
Minerals 2024, 14(12), 1289; https://doi.org/10.3390/min14121289 - 19 Dec 2024
Viewed by 347
Abstract
Water distribution in the structure of vein quartz formed as a result of successive plastic deformations associated with dislocation slip and subsequent recrystallization was estimated using infrared microspectroscopic (μFTIR) mapping. Water contained in quartz demonstrates a broad absorption band in the IR range [...] Read more.
Water distribution in the structure of vein quartz formed as a result of successive plastic deformations associated with dislocation slip and subsequent recrystallization was estimated using infrared microspectroscopic (μFTIR) mapping. Water contained in quartz demonstrates a broad absorption band in the IR range at 2800–3750 cm−1, which indicates its molecular state and suggests the presence of water bearing water inclusions. In addition to water, the presence of an absorption band located at 2341 cm−1 seems to be due to the presence of carbon dioxide in a molecular state. A necessary step before assessing the distribution of volatile components in the quartz structure was to calibrate the boundaries obtained by calculating the intensity ratios of the peaks at 1118 and 1160 cm−1 in the reflectance spectrum and using electron back scatter diffraction (EBSD). A variety of fluid distributions in different elements of the structure was observed. At medium temperatures and medium strain rates, dislocation mass transfer is effective during dislocation slip. At low strain rates and elevated temperatures, the contribution of diffusion creep gradually increases, which facilitates the interaction of volatile components with migrating boundaries. It was found that in the process of successive rearrangements, migration of fluid components occurs within the main elements of the structure due to the redistribution of dislocations between defects of different scale levels. Redistribution of fluid from fluid inclusions as a result of plastic deformations in the quartz structure is one of the ways of relaxing intracrystalline stresses during strengthening of the structure. Full article
(This article belongs to the Special Issue Physicochemical Properties and Purification of Quartz Minerals)
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<p>The structure of the vein systems (the Krivoy zone): (<b>a</b>) Plan view; (<b>b</b>) S–N profile; (<b>c</b>) Position of quartz veins in an outcrop; (<b>d</b>) Main vein of the southwestern dipping; (<b>e</b>) Stereographic projection of the distribution of structural elements and veins.</p>
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<p>Types of microstructure in vein quartz from Krivoy zone: (<b>a</b>) protogranular; (<b>b</b>) subblock and fragmentary; (<b>c</b>–<b>e</b>) pseudo-porphyroblastic; (<b>f</b>) granular.</p>
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<p>Deformation evolution of vein quartz in a modified chart of quartz deformation mechanisms. Strain rates (in s-1) are along y axis. The sketch illustrates changes in quartz aggregates. Colors show high-angle (black), low-angle (green), and Dauphiné twin (red) boundaries [<a href="#B45-minerals-14-01289" class="html-bibr">45</a>]. Mechanisms of dynamic recrystallization by [<a href="#B53-minerals-14-01289" class="html-bibr">53</a>,<a href="#B54-minerals-14-01289" class="html-bibr">54</a>,<a href="#B55-minerals-14-01289" class="html-bibr">55</a>]: BLG—Bulging recrystallization, SGR—subgrain rotation recrystallization, GBM—grain boundary migration. Types of microstructure in vein quartz: A—protogranular, B—sub-block, C—fragmentary, D—pseudo-porphyroblastic, E—granular.</p>
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<p>Example of reflection spectra of two grains with different orientations related to incident beam. The arrows indicate the peak at 1118 and the dip at 1160 cm<sup>−1</sup>.</p>
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<p>Features of the distribution of water and carbon dioxide in quartz of protogranular microstructure: (<b>a</b>) the processed EBSD band contrast + inverse pole figure map with the color-coded boundaries—the symbols shown here are color-coded for the boundaries to indicate that the angle of boundaries misorientation will be used in the next figures; (<b>b</b>) Map of the intensity ratio of peaks 1118 and 1160 cm<sup>−1</sup> in the reflection spectrum; (<b>c</b>) Map of the distribution areas of water and carbon dioxide within the selected elements of the microstructure—the symbols shown here indicate that the composition of the component will be used in the next figures; (<b>d</b>) Map of the distribution of H<sub>2</sub>O based on the area of peak ~3400 cm<sup>−1</sup>; (<b>e</b>) Map of the distribution of CO<sub>2</sub> based on the area of peak 2350 cm<sup>−1</sup>; (<b>f</b>) Absorption spectra of H<sub>2</sub>O and CO<sub>2</sub> (the numbers correspond to the regions in d and e).</p>
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<p>Features of the distribution of water and carbon dioxide in quartz of fragmentary microstructure: (<b>a</b>) the processed EBSD band contrast + inverse pole figure map with the color-coded boundaries; (<b>b</b>) Map of the intensity ratio of peaks 1118 and 1160 cm<sup>−1</sup> in the reflection spectrum; (<b>c</b>) Map of the distribution areas of water and carbon dioxide within the selected elements of the microstructure; (<b>d</b>) Map of the distribution of H<sub>2</sub>O based on the area of peak ~3400 cm<sup>−1</sup>; (<b>e</b>) Map of the distribution of CO<sub>2</sub> based on the area of peak 2350 cm<sup>−1</sup>; (<b>f</b>) Absorption spectra of H<sub>2</sub>O and CO<sub>2</sub> (the numbers correspond to the regions in d and e).</p>
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<p>Features of the distribution of water and carbon dioxide in quartz of pseudo-porphyroblast microstructure: (<b>a</b>) the processed EBSD band contrast + inverse pole figure map with the color-coded boundaries; (<b>b</b>) Map of the intensity ratio of peaks 1118 and 1160 cm<sup>−1</sup> in the reflection spectrum; (<b>c</b>) Map of the distribution areas of water and carbon dioxide within the selected elements of the microstructure; (<b>d</b>) Map of the distribution of H<sub>2</sub>O based on the area of peak ~3400 cm<sup>−1</sup>; (<b>e</b>) Map of the distribution of CO<sub>2</sub> based on the area of peak 2350 cm<sup>−1</sup>; (<b>f</b>) Absorption spectra of H<sub>2</sub>O and CO<sub>2</sub> (the numbers correspond to the regions in (<b>d</b>,<b>e</b>)).</p>
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<p>Features of the distribution of water and carbon dioxide in quartz of grain microstructure: (<b>a</b>) the processed EBSD band contrast + inverse pole figure map with the color-coded boundaries; (<b>b</b>) Map of the intensity ratio of peaks 1118 and 1160 cm<sup>−1</sup> in the reflection spectrum; (<b>c</b>) Map of the distribution areas of water and carbon dioxide within the selected elements of the microstructure; (<b>d</b>) Map of the distribution of H<sub>2</sub>O based on the area of peak ~3400 cm<sup>−1</sup>; (<b>e</b>) Map of the distribution of CO<sub>2</sub> based on the area of peak 2350 cm<sup>−1</sup>; (<b>f</b>) Absorption spectra of H<sub>2</sub>O and CO<sub>2</sub> (the numbers correspond to the regions in (<b>d</b>) and (<b>e</b>)).</p>
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<p>Features of the distribution of water and carbon dioxide in quartz: (<b>a</b>) the processed EBSD band contrast + inverse pole figure map with the color-coded boundaries; (<b>b</b>) Map of the distribution of H<sub>2</sub>O based on the area of peak ~3400 cm<sup>−1</sup>; (<b>c</b>) Map of the distribution of CO<sub>2</sub> based on the area of peak 2350 cm<sup>−1</sup>; (<b>d</b>) Map of the distribution areas of water and carbon dioxide within the selected elements of the microstructure.</p>
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23 pages, 749 KiB  
Review
Mechanisms of Heavy Metal Tolerance in Bacteria: A Review
by Nnabueze Darlington Nnaji, Chukwudi U Anyanwu, Taghi Miri and Helen Onyeaka
Sustainability 2024, 16(24), 11124; https://doi.org/10.3390/su162411124 - 18 Dec 2024
Viewed by 342
Abstract
Heavy metal pollution from industrial activities and poor waste disposal poses significant environmental and health threats to humans and animals. This calls for sustainable approaches to the cleanup of heavy metals. This review explores metal tolerance mechanisms of bacteria such as the formation [...] Read more.
Heavy metal pollution from industrial activities and poor waste disposal poses significant environmental and health threats to humans and animals. This calls for sustainable approaches to the cleanup of heavy metals. This review explores metal tolerance mechanisms of bacteria such as the formation of biofilms, efflux systems, and enzymatic detoxification. These mechanisms allow bacteria communities to adapt and survive in contaminated environments. These adaptations are enhanced by mutations in the bacteria genes and by horizontal gene transfers, enabling bacteria species to survive under environmental stress while simultaneously contributing to nutrient cycling and the decomposition of organic matter. This review further explores the symbiotic interactions between bacteria, plants, and animals. These relationships enhance the metal tolerance ability of the different living organisms involved and are also very important in the bioremediation and phytoremediation of heavy metals. Plant growth-promoting rhizobacteria, Rhizobium, and Bacillus species are very important contributors to phytoremediation; they improve heavy metal uptake, improve the growth of roots, and plants resilience to stress. Moreover, this review highlights the importance of genetically engineered bacteria in closed-loop systems for optimized metal recovery. This offers environmentally friendly and sustainable options to the traditional remediation methods. Engineered Cupriavidus metallidurans CH34 and Pseudomonas putida strain 15420352 overexpressing metallothioneins have shown enhanced metal-binding capabilities, which makes them very effective in the treatment of industrial wastewaters and in biosorption applications. The use of engineered bacteria for the cleanup of heavy metals in closed-loop systems promotes the idea of a circular economy by recycling metals, thus reducing environmental waste. Multidisciplinary research that integrates synthetic biology, microbial ecology, and environmental science is very important for the advancement of metal bioremediation technologies. This review’s analysis on bacterial metal tolerance, symbiosis, and bioengineering strategies offers a pathway to effective bioremediation options, for the reclamation of heavy metal-polluted environments while promoting sustainable environmental practices. Full article
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<p>Bacterial tolerance mechanisms to heavy metals. Adapted from Thai et al. [<a href="#B64-sustainability-16-11124" class="html-bibr">64</a>].</p>
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