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16 pages, 2714 KiB  
Article
Treatment of Swine Wastewater Using the Domestic Microalga Halochlorella rubescens KNUA214 for Bioenergy Production and Carotenoid Extraction
by Yu-Hee Seo, Jeong-Mi Do, Ho-Seong Suh, Su-Bin Park and Ho-Sung Yoon
Appl. Sci. 2024, 14(24), 11650; https://doi.org/10.3390/app142411650 - 13 Dec 2024
Viewed by 395
Abstract
The management of swine wastewater (SW) presents significant environmental challenges, requiring solutions that combine effective treatment with resource recovery. This study highlights the dual role of microalgae in wastewater remediation and bioenergy production. H. rubescens KNUA214 was cultivated in media containing varying concentrations [...] Read more.
The management of swine wastewater (SW) presents significant environmental challenges, requiring solutions that combine effective treatment with resource recovery. This study highlights the dual role of microalgae in wastewater remediation and bioenergy production. H. rubescens KNUA214 was cultivated in media containing varying concentrations of diluted swine wastewater (DSW; 0%, 25%, 50%, and 100%). Cultivating with Blue Green-11 (BG-11) medium + 50% DSW maximized biomass growth, the chlorophyll content, and carotenoid production. Nutrient removal efficiency in 100% DSW over 8 days demonstrated reductions of 59.3% in total nitrogen, 67.7% in ammonia nitrogen, and 40.7% in total phosphorus, confirming the species’ capacity for effective wastewater treatment. The carotenoid analysis using HPLC revealed that astaxanthin, lutein, canthaxanthin, and beta-carotene exhibited the highest levels in BG-11 + 50% DSW. Furthermore, the biomass analyses confirmed its potential for bioenergy applications, with high calorific values and significant polyunsaturated fatty acid concentrations, enhancing its utility for bioenergy and biolubricant production. These findings position H. rubescens KNUA214 as an effective resource for integrating SW management with the sustainable production of high-value biochemicals, offering environmental and economic benefits. Full article
(This article belongs to the Special Issue Bioprocessing and Fermentation Technology for Biomass Conversion)
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<p>(<b>a</b>) Light microscope image of <span class="html-italic">H. rubescens</span> KNUA214. (<b>b</b>) Phylogenetic relationship of <span class="html-italic">H. rubescens</span> KNUA214 and its closely related species based on 18S rRNA sequence data. Numbers at nodes indicate percentage values derived from 500-bootstrap-analysis samples. The scale bar represents differences in nucleotide sequences.</p>
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<p>(<b>a</b>) Optical density, (<b>b</b>) dry weight, and (<b>c</b>) chlorophyll <span class="html-italic">a</span> and (<b>d</b>) chlorophyll <span class="html-italic">b</span> concentrations of <span class="html-italic">H. rubescens</span> KNUA214 under different concentrations of DSW for 8 days. Microscopy images of <span class="html-italic">H. rubescens</span> KNUA214 in (<b>e</b>) BG-11 and (<b>f</b>) 100% DSW over an 8-day period.</p>
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<p>(<b>a</b>) Nutrient concentration and (<b>b</b>) percentage of removal efficiency in 100% DSW by <span class="html-italic">H. rubescens</span> KNUA214 over an 8-day period. Statistical significance between groups is denoted as follows: ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>(<b>a</b>) Astaxanthin, (<b>b</b>) lutein, (<b>c</b>) zeaxanthin, (<b>d</b>) canthaxanthin, and (<b>e</b>) beta-carotene contents of <span class="html-italic">H. rubescens</span> KNUA214 cultivated under different concentrations of DSW on 4 and 8 days. Statistical significance between groups is denoted as follows: * <span class="html-italic">p</span> &lt; 0.05, *** <span class="html-italic">p</span> &lt; 0.001.</p>
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14 pages, 5215 KiB  
Article
Enhancing Swine Wastewater Treatment: A Sustainable and Systematic Approach through Optimized Chemical Oxygen Demand/Sulfate Mass Ratio in Attached-Growth Anaerobic Bioreactor
by Mehdi Lamssali, Shobha Mantripragada, Dongyang Deng and Lifeng Zhang
Environments 2024, 11(8), 162; https://doi.org/10.3390/environments11080162 - 1 Aug 2024
Viewed by 1196
Abstract
The swine industry generates millions of gallons (thousands of cubic meters) of wastewater every day, posing significant environmental risk due to high concentrations of organics and nutrients. This study aims to investigate the effectiveness of attached-growth anaerobic bioreactors for treating swine wastewater by [...] Read more.
The swine industry generates millions of gallons (thousands of cubic meters) of wastewater every day, posing significant environmental risk due to high concentrations of organics and nutrients. This study aims to investigate the effectiveness of attached-growth anaerobic bioreactors for treating swine wastewater by utilizing sulfate-reducing bacteria, focusing on the impact of chemical oxygen demand (COD)/sulfate mass ratios on organics degradation. A series of lab-scale anaerobic bioreactors were employed to treat swine wastewater for a 14-day period. The study evaluated changes in pH, acidity, alkalinity, COD, sulfate, and various nutrients along with total suspended solids (TSS) and volatile suspended solids (VSS) before and after treatment. At a COD/sulfate mass ratio of 2:1, the bioreactors achieved optimum removal efficiencies of 80% for TSS, 83% for VSS, 86–88% for COD, 82–87% for sulfate, 73% for sulfide, and 73% for sulfite. The nutrient removal efficiency was 67% for nitrate and 72% for nitrite. The acidity and alkalinity were effectively controlled, with alkalinity values reaching up to 2161 ± 92.5 mg/L and pH within the range of 7–7.24. The findings demonstrated that anaerobic bioreactor at a COD/sulfate mass ratio of 2:1 significantly enhanced the degradation of organic matter coupling with sulfate reduction in swine wastewater, providing an efficient and sustainable treatment method. Full article
(This article belongs to the Special Issue Advanced Technologies of Water and Wastewater Treatment)
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<p>Schematic diagram of anaerobic attached-growth bioreactor system for swine wastewater treatment utilizing sulfate-reducing bacteria (SRB).</p>
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<p>Profiles of total suspended solids (TSS) (<b>A</b>), volatile suspended solids (VSS) (<b>B</b>), and total dissolved solids (TDS) (<b>C</b>) in the bioreactors at various COD/sulfate ratios across the treatment period of 14 days.</p>
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<p>Profiles of pH (<b>A</b>), acidity (<b>B</b>), and alkalinity (<b>C</b>) in the bioreactors at various chemical oxygen demand (COD)/sulfate ratios across the treatment period of 14 days.</p>
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<p>Profiles of COD and sulfate concentrations (<b>A</b>,<b>C</b>) and their removal efficiencies (<b>B</b>,<b>D</b>) in the bioreactors at various COD/sulfate ratios across the treatment period of 14 days.</p>
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<p>Profiles of sulfide, sulfite, nitrate, nitrite concentrations (<b>A</b>,<b>C</b>,<b>E</b>,<b>G</b>) and their removal efficiencies (<b>B</b>,<b>D</b>,<b>F</b>,<b>H</b>) in the bioreactors at various COD/sulfate ratios across the treatment period of 14 days.</p>
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<p>Profiles of sulfide, sulfite, nitrate, nitrite concentrations (<b>A</b>,<b>C</b>,<b>E</b>,<b>G</b>) and their removal efficiencies (<b>B</b>,<b>D</b>,<b>F</b>,<b>H</b>) in the bioreactors at various COD/sulfate ratios across the treatment period of 14 days.</p>
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<p>Profiles of phosphorous and N-ammonia concentrations (<b>A</b>,<b>C</b>) and their removal efficiencies (<b>B</b>,<b>D</b>) in the bioreactors at various COD/sulfate ratios across the treatment period of 14 days.</p>
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<p>SEM images of sludge surface before (day 0) and after (day 14) bioreactor treatment at different COD/sulfate ratios (showed in bracket).</p>
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14 pages, 963 KiB  
Article
Integrated Assessment of Methane Production from the Co-Digestion of Swine Wastewater and Other Organic Wastes
by Izabelle de Paula Sousa, André Pereira Rosa, Guilherme Kurtemback Almeida, Dilson Novais Rocha, Thiago de Alencar Neves and Alisson Carraro Borges
Sustainability 2024, 16(14), 5938; https://doi.org/10.3390/su16145938 - 12 Jul 2024
Viewed by 1088
Abstract
The study aimed to evaluate and compare the co-digestion of swine wastewater (SW) and other co-substrates: grass residue (GR), food waste (FW), and poultry litter (PL). The comparisons were performed using the biochemical methane potential (BMP) test. The maximum accumulated methane (CH4 [...] Read more.
The study aimed to evaluate and compare the co-digestion of swine wastewater (SW) and other co-substrates: grass residue (GR), food waste (FW), and poultry litter (PL). The comparisons were performed using the biochemical methane potential (BMP) test. The maximum accumulated methane (CH4) production was submitted to a joint analysis of variance. Tukey’s test (α = 0.05) was used to compare the results of the treatments, and Dunnett’s test (α = 0.05) was used to compare the ratios (100:0, 75:25, 50:50, 25:75, and 0:100) (based on volatile solids—VS). In addition, both the synergistic effect and kinetic adjustment of some models were evaluated. The results indicated that the co-digestion of all substrates (GR, FW, and PL) with SW improved the methane production yield in comparison with mono-digestion (GR, FW, and PL). A positive synergistic effect was observed for the FW:SW (25:75 and 75:25). According to both Tukey’s and Dunnett’s tests (α = 0.05), the FW:SW ratio of 25:75 did not show statistical difference compared with the mono-digestion (SW), which exhibited the largest CH4 production. Among the models evaluated, the modified Gompertz function presented the best fit. For the co-digestion treatments, the ratio of FW:SW of 25:75 exhibited the most promising potential for integrated management, demonstrating the best synergistic effect among the substrates. In this context, methane production from co-digestion equalled that of mono-digestion, while enabling integrated residue management. Full article
(This article belongs to the Special Issue Sustainable Waste Management and Recovery)
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Graphical abstract

Graphical abstract
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<p>Schematic of the swine wastewater treatment system where swine wastewater and inoculum were collected. (1) Settling tank, (2) covered lagoon digester (CLD), (3) aerated lagoon, (4) settler, (5) sludge drying bed. Adapted by Cruz [<a href="#B20-sustainability-16-05938" class="html-bibr">20</a>].</p>
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<p>Methane production from the mono-digestion of (SW, GR, FW, and PL) and the co-digestion of GR:SW (<b>A</b>), FW:SW (<b>B</b>), and PL:SW (<b>C</b>) with ratios of 75:25, 50:50, and 25:75 and the modified Gompertz model adjustment.</p>
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8 pages, 1431 KiB  
Article
Isotopic Differentiation (δ18OPO4) of Inorganic Phosphorus among Organic Wastes for Nutrient Runoff Tracing Studies: A Summary of the Literature with Refinement of Livestock Estimates for Grand Lake St. Marys Watershed (Ohio)
by Melanie M. Marshall, Stephen J. Jacquemin and Aubrey L. Jaqueth
Pollutants 2024, 4(3), 316-323; https://doi.org/10.3390/pollutants4030021 - 1 Jul 2024
Cited by 1 | Viewed by 790
Abstract
The use of stable isotopes, specifically δ18OPO4 ratios, in differentiating potential sources of inorganic phosphorus (e.g., wastewater, septic, wild animals, domesticated animals, livestock, substrates, or commercial fertilizers) to watersheds is a growing field. This method produces data that, used in [...] Read more.
The use of stable isotopes, specifically δ18OPO4 ratios, in differentiating potential sources of inorganic phosphorus (e.g., wastewater, septic, wild animals, domesticated animals, livestock, substrates, or commercial fertilizers) to watersheds is a growing field. This method produces data that, used in conjunction with statistical mixing models, enables a better understanding of contributing sources of runoff. However, given the recent development of this research area there are obvious limitations that have arisen, due in large part to the limited available reference data to compare water samples. Here, we attempt to expand the availability of reference samples by applying stable isotope methods to three types of common agricultural manures: poultry, dairy, and swine. We also aim to concatenate the organic waste literature on this topic, creating a more robust comparison database for future study and application in phosphorus source partitioning research. Among our samples, δ18OPO4 ratios for poultry were considerably elevated compared to dairy and swine manures (values of 18.5‰, 16.5‰, and 17.9‰, respectively). Extending this to other published ratios of δ18OPO4 from various types of waste products (e.g., septic, wastewater, livestock, other animals), a total range from 8.7‰ to 23.1‰ emerged (with existing poultry manure samples also ranking among the highest overall). Variation among samples in the larger dataset demonstrates the need for a further compilation of δ18OPO4 ratios for various types of waste, especially specific to geographic regions and watershed scales. With an increased sample size, the statistical strength associated with these methods would greatly improve. Full article
(This article belongs to the Section Water Pollution)
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<p>Map of the Grand Lake St. Mary’s watershed. Subwatersheds are outlined in grey and the lake itself is outlined in blue. The red inlay illustrates the location of Mercer County within Northwest Ohio. Samples collected for this study were collected anonymously within this region.</p>
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<p>Boxplot of δ<sup>18</sup>O<sub>PO4</sub> ratios of waste types collected within this study. Poultry manure samples were significantly elevated relative to dairy manure samples. The large asterisk represents significant differences among samples (α = 0.1).</p>
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<p>δ<sup>18</sup>O<sub>PO4</sub> ratios of all waste samples found within the literature as well as those analyzed within this study [<a href="#B10-pollutants-04-00021" class="html-bibr">10</a>,<a href="#B11-pollutants-04-00021" class="html-bibr">11</a>,<a href="#B14-pollutants-04-00021" class="html-bibr">14</a>,<a href="#B15-pollutants-04-00021" class="html-bibr">15</a>,<a href="#B16-pollutants-04-00021" class="html-bibr">16</a>,<a href="#B20-pollutants-04-00021" class="html-bibr">20</a>,<a href="#B21-pollutants-04-00021" class="html-bibr">21</a>,<a href="#B22-pollutants-04-00021" class="html-bibr">22</a>,<a href="#B23-pollutants-04-00021" class="html-bibr">23</a>]. Sources for each data point are indicated according to color.</p>
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<p>δ<sup>18</sup>O<sub>PO4</sub> ratios of data used for One-Way ANOVA analysis for differences among types of manure. All samples were included if relevant to freshwater systems and included a sample size greater than 1 (n &gt; 1). Most values fell within similar ranges with significant elevation found comparing poultry samples and those from wastewater outfall locations. The large asterisk represents significant differences among samples (α = 0.1).</p>
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20 pages, 3387 KiB  
Article
Operation Status and Effective Operation Management Model for On-Site Swine Wastewater Treatment Facilities
by Jae-Hong Park, Eu-Gene Chung, Eun-Hye Na and Yong-Seok Kim
Water 2024, 16(13), 1794; https://doi.org/10.3390/w16131794 - 25 Jun 2024
Viewed by 1145
Abstract
This study was conducted to examine the operation statuses of on-site swine wastewater treatment facilities through surveys and field surveys on pig farms and to propose effective operation models. Field analyses and surveys of pig farms indicate that technical and financial support systems [...] Read more.
This study was conducted to examine the operation statuses of on-site swine wastewater treatment facilities through surveys and field surveys on pig farms and to propose effective operation models. Field analyses and surveys of pig farms indicate that technical and financial support systems are required for both farms and on-site swine wastewater treatment facilities. Public environmental services have been proposed as an effective support system, in which private sewage treatment facilities are entrusted to professional environmental management agencies, and the costs are shared by local governments and facility owners. However, securing a stable budget represents a challenge to implementing public environmental services. Thus, this study proposes a collaborative manure management model composed of individual farms, professional environmental management agencies, and local governments to address the shortcomings of public environmental services. To effectively manage pig manure, the flexible application of discharge standards, diversification of pollutant reduction management techniques (e.g., feed management), and periodic review of permits must be considered. Additionally, the reinforcement of discharge standards for individual purification facilities, control of the livestock density and number, and impacts of livestock manure discharge on riverine ecosystems must be considered. Full article
(This article belongs to the Section Wastewater Treatment and Reuse)
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<p>Distribution and monitoring points of individual wastewater treatment facilities in the Gwangcheon livestock farming watershed.</p>
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<p>Primary biological treatment process types.</p>
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<p>Pollutant removal efficiencies using advanced biological treatment methods.</p>
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<p>Performance statuses of sludge return and internal circulation. MLE: Modified Ludzack–Ettinger.</p>
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<p>Exceedance rates of effluent water quality standards based on internal circulation and sludge return in the MLE process.</p>
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<p>Support rates for outsourced management using specialized agencies (<b>a</b>) and awareness of key operational items for individual livestock manure treatment facilities (<b>b</b>).</p>
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<p>Trends in water quality standard violation rates and effluent BOD concentrations resulting from the implementation of the environmental public service system (EPSS) in Gyeonggi Province.</p>
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<p>Annual trends of excellent and intensive management facilities under the implementation of the regional management system in Gyeonggi Province.</p>
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<p>Box plot analysis results for water quality parameters: (<b>a</b>) BOD, (<b>b</b>) SS, (<b>c</b>) total nitrogen, and (<b>d</b>) total phosphorus.</p>
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<p>Impact of individual livestock manure treatment facility density on BOD.</p>
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<p>Roles and expected outcomes of stakeholders in the livestock manure collaborative management model.</p>
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15 pages, 21980 KiB  
Article
The Performance and Spatial Distribution of Membrane Fouling in a Sequencing Batch Ceramic Membrane Bioreactor: A Pilot Study for Swine Wastewater Treatment
by Wenhui Yue, Yanlin Chen, Qianwen Sui, Libing Zheng, Tharindu Ritigala and Yuansong Wei
Membranes 2024, 14(6), 142; https://doi.org/10.3390/membranes14060142 - 18 Jun 2024
Viewed by 1032
Abstract
The extensive application of ceramic membranes in wastewater treatment draws increasing attention due to their ultra-long service life. A cost-effective treatment for high-strength swine wastewater is an urgent and current need that is a worldwide challenge. A pilot-scale sequencing batch flat-sheet ceramic membrane [...] Read more.
The extensive application of ceramic membranes in wastewater treatment draws increasing attention due to their ultra-long service life. A cost-effective treatment for high-strength swine wastewater is an urgent and current need that is a worldwide challenge. A pilot-scale sequencing batch flat-sheet ceramic membrane bioreactor (ScMBR) coupled with a short-cut biological nitrogen removal (SBNR) process was developed to treat high-strength swine wastewater. The ScMBR achieved stable and excellent removal of COD (95.3%), NH4+-N (98.3%), and TN (92.7%), though temperature went down from 20 °C, to 15 °C, to 10 °C stepwise along three operational phases. The COD and NH4+-N concentrations in the effluent met with the discharge standards (GB18596-2001). Microbial community diversity was high, and the genera Pseudomonas and Comamonas were dominant in denitritation, and Nitrosomonas was dominant in nitritation. Ceramic membrane modules of this pilot-scale reactor were separated into six layers (A, B, C, D, E, F) from top to bottom. The total filtration resistance of both the top and bottom membrane modules was relatively low, and the resistance of the middle ones was high. These results indicate that the spatial distribution of the membrane fouling degree was different, related to different aeration scour intensities demonstrated by computational fluid dynamics (CFD). The results prove that the membrane fouling mechanism can be attributed to the cake layer formation of the middle modules and pore blocking of the top and bottom modules, which mainly consist of protein and carbohydrates. Therefore, different cleaning measures should be adopted for membrane modules in different positions. In this study, the efficient treatment of swine wastewater shows that the ScMBR system could be applied to high-strength wastewater. Furthermore, the spatial distribution characteristics of membrane fouling contribute to cleaning strategy formulation for further full-scale MBR applications. Full article
(This article belongs to the Special Issue Advances in Membrane Processes for Wastewater Treatment)
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<p>Schematic diagram of ScMBR (<b>a</b>); membrane module arrangement (<b>b</b>); on-site photo of ScMBR (<b>c</b>); fouled membrane modules (<b>d</b>).</p>
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<p>Operational performance of ScMBR for COD removal (<b>a</b>), TN removal (<b>b</b>), and ammonia removal (<b>c</b>).</p>
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<p>Total resistance distributions of different membrane modules (<b>a</b>); resistance distributions of different membrane modules (<b>b</b>); resistance proportion distributions of different membrane modules (<b>c</b>).</p>
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<p>SEM images of the outsides and insides of membrane sheets from different modules at different magnifications.</p>
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<p>The 3D-EEM spectra of the membrane chemical cleaning soaks ((<b>a</b>) Module A; (<b>b</b>) Module B; (<b>c</b>) Module C; (<b>d</b>) Module D; (<b>e</b>) Module E; (<b>f</b>) Module F).</p>
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<p>Contents and compositions of extracellular polymeric substances (EPS) in cake layer sludge (<b>a</b>,<b>b</b>); microbial community structures at phylum levels of bulk sludge (<b>c</b>) and foulants sludge (<b>d</b>).</p>
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<p>The simulated air volume fraction of ScMBR (<b>a</b>); the simulated velocity of ScMBR (<b>b</b>); Pearson correlation matrix presenting the correlations between fouling resistances in the contents of EPS (Blue and red colours represent negative and positive correlations, respectively.) (<b>c</b>).</p>
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23 pages, 14231 KiB  
Article
Environmentally Relevant Antibiotic Concentrations Exert Stronger Selection Pressure on River Biofilm Resistomes than AMR-Reservoir Effluents
by Gabriela Flores-Vargas, Jordyn Bergsveinson and Darren R. Korber
Antibiotics 2024, 13(6), 539; https://doi.org/10.3390/antibiotics13060539 - 10 Jun 2024
Viewed by 1679
Abstract
Freshwater environments are primary receiving systems of wastewater and effluents, which carry low concentrations of antibiotics and antimicrobial-resistant (AMR) bacteria and genes. Aquatic microbial communities are thus exposed to environmentally relevant concentrations of antibiotics (ERCA) that presumably influence the acquisition and spread of [...] Read more.
Freshwater environments are primary receiving systems of wastewater and effluents, which carry low concentrations of antibiotics and antimicrobial-resistant (AMR) bacteria and genes. Aquatic microbial communities are thus exposed to environmentally relevant concentrations of antibiotics (ERCA) that presumably influence the acquisition and spread of environmental AMR. Here, we analyzed ERCA exposure with and without the additional presence of municipal wastewater treatment plant effluent (W) and swine manure run-off (M) on aquatic biofilm resistomes. Microscopic analyses revealed decreased taxonomic diversity and biofilm structural integrity, while metagenomic analysis revealed an increased abundance of resistance, virulence, and mobile element-related genes at the highest ERCA exposure levels, with less notable impacts observed when solely exposed to W or M effluents. Microbial function predictions indicated increased gene abundance associated with energy and cell membrane metabolism and heavy metal resistance under ERCA conditions. In silico predictions of increased resistance mechanisms did not correlate with observed phenotypic resistance patterns when whole communities were exposed to antimicrobial susceptibility testing. This reveals important insight into the complexity of whole-community coordination of physical and genetic responses to selective pressures. Lastly, the environmental AMR risk assessment of metagenomic data revealed a higher risk score for biofilms grown at sub-MIC antibiotic conditions. Full article
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<p>Schematic workflow of the microcosm experimental design used to develop biofilm communities under exposure of nine treatments. RAB: rotating annular bioreactor. MIC: minimum inhibitory concentration. S1: 1/10 sub-MIC, S2: 1/100 sub-MIC. C: river water only. M: swine manure. W: wastewater treatment plant (WWTP).</p>
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<p>Structural biofilm composition. (<b>A</b>) CLSM images stained with <span class="html-italic">A. hypogaea</span>-FITC (<b>top panel</b>), <span class="html-italic">C. ensiformis</span>-FITC (<b>middle panel</b>) and <span class="html-italic">T. vulgaris</span>-TRITC <span class="html-italic">+</span> SYTO9 (<b>bottom panel</b>); (<b>B</b>) biofilm thickness at different treatments according to fluorescence of lectin-binding specificity to EPS glycoconjugate residues. Mean values are displayed with biological (<span class="html-italic">n</span> = 3) and technical (<span class="html-italic">n</span> = 5) replicates, edges represent quartile values C = river water only, M = swine manure, W = wastewater treatment plant effluent, S1: 1/10 sub-MIC, S2: 1/100 sub-MIC. Black points indicate the presence of outliers.</p>
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<p>Microbiome profiling. (<b>A</b>) Relative abundance of phyla groups and (<b>B</b>) nMDS of Bray–Curtis similarities showing β diversity of bacteria composition at the genus level with significant abundance differences across treatments (49 = genera, <span class="html-italic">p</span> &lt; 0.05), and nMDS ordination of bacterial β diversity at genus level according to (<b>C</b>) AMR-reservoir inocula and (<b>D</b>) sub-MIC antibiotic treatments. C = river water only, M = swine manure, W = wastewater treatment plant effluent, S1: 1/10 sub-MIC, S2: 1/100 sub-MIC.</p>
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<p>Resistome profiling. (<b>A</b>) Relative abundance of total ARGs (42 total identified genes) classified by drug resistance class across biofilm samples; (<b>B</b>) richness of resistome and virulome genes; and (<b>C</b>) nMDS of Bray–Curtis similarities showing β diversity of total identified ARGs across treatments in biofilm communities. Asterisk (*) indicates ARGs with significant abundance differences across treatments (<span class="html-italic">p</span> &lt; 0.05). Ellipse shapes were defined using covariance of each group, and ellipse centroids represents the group mean (<span class="html-italic">n</span> = 3). C = river water only, M = swine manure, W = wastewater treatment plant effluent, S1: 1/10 sub-MIC, S2: 1/100 sub-MIC.</p>
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<p>AMR-elements profiling. (<b>A</b>) Differential abundance of the resistome of riverine biofilm communities developed under sub-MICs antibiotic and AMR-reservoir exposure. Shown are ARGs with significant fold-changes (<span class="html-italic">p</span> &lt; 0.05) between treatments. The displayed normalized abundance is scaled to each gene (Z-score) after rlog-transformed counts; and (<b>B</b>) relative abundance (proportional to circle size) of virulence factor genes (53 total identified genes) across biofilm communities under ERCA and AMR-reservoir exposure. Relative abundance indicates the normalized read counts per treatment (<span class="html-italic">n</span> = 3). C = river water only, M = swine manure, W = wastewater treatment plant effluent, S1: 1/10 sub-MIC, S2: 1/100 sub-MIC.</p>
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<p>Network analysis of correlations between the (<b>A</b>) resistome and microbiome, and the (<b>B</b>) resistome and the virulome. Edges (connection lines) denote pair-wise correlations and thickness represent degree of significance (Spearman’s rho &gt; 0.75, <span class="html-italic">p</span> &lt; 0.001). Node size is proportional to the number of connections. Outer numbers indicate average degree of co-occurrence (number of edges).</p>
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<p>Resistome risk assessment. (<b>A</b>) The contribution of ARGs of a Risk Rank based on arg_ranker, (<b>B</b>) percentage of ARGs of a Risk Rank, and (<b>C</b>) total abundance of ARGs per Rank Risk. Code of contribution is on a scale from Rank I (highest risk to human health) to Rank IV (lowest risk to human health), unassessed refers to ARGs undetected in the metagenome dataset. Data are presented as mean values +/− SD. Asterisk (*) indicates significant difference between treatments (<span class="html-italic">p</span> &lt; 0.05). C = river water only, M = swine manure, W = wastewater treatment plant effluent, S1: 1/10 sub-MIC, S2: 1/100 sub-MIC.</p>
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<p>MIC resistance (R) and susceptibility (S) results from NARMS testing for (<b>A</b>) Gram-negative and (<b>B</b>) Gram-positive bacteria recovered from biofilm inocula grown for 8 weeks under different ERCA treatments (1/10 and 1/100 sub-MIC levels) and AMR-reservoir inoculant supplementation (W and M). C = river water only, M = swine manure, W = wastewater treatment plant effluent, S1: 1/10 sub-MIC, S2: 1/100 sub-MIC.</p>
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17 pages, 6008 KiB  
Article
Sustainable Treatment of Swine Wastewater: Optimizing the Culture Conditions of Tetradesmus cf. obliquus to Improve Treatment Efficiency
by Kailong Bai, Wenying Qu, Duo Song, Junfeng Li and Shih-Hsin Ho
Sustainability 2024, 16(11), 4633; https://doi.org/10.3390/su16114633 - 29 May 2024
Viewed by 1201
Abstract
To enhance the sustainability of microalgae-based swine wastewater treatment, this study aims to address the challenges of low efficiency in treating raw swine wastewater, collection difficulties, and high energy consumption treatment processes. The microalgae with strong environmental tolerance were first screened from swine [...] Read more.
To enhance the sustainability of microalgae-based swine wastewater treatment, this study aims to address the challenges of low efficiency in treating raw swine wastewater, collection difficulties, and high energy consumption treatment processes. The microalgae with strong environmental tolerance were first screened from swine wastewater, and its cultivation conditions were optimized to examine the effect of microalgae treatment on swine wastewater under optimal cultivation conditions. Additionally, the flocculation efficiency and mechanism of microalgae were analyzed. The results showed that Tetradesmus cf. obliquus ZYY1 exhibited the most robust heterotrophic growth. In the BG11 medium supplemented with glucose, the growth rate of T. cf. obliquus ZYY1 under chemoheterotrophic conditions was superior to its growth under photoheterotrophic conditions, reaching its peak with an optimal glucose concentration of 15 g/L. The biomass concentration of T. cf. obliquus ZYY1 in raw wastewater was significantly higher than that in sterilized wastewater, which reached 1.65 ± 0.01 g/L on the 10th day of treatment, with removal efficiencies of NH4+-N, PO43-P, and the chemical oxygen demand reached 71.36%, 96.09%, and 93.13%, respectively. After raw wastewater treatment, the flocculation efficiency of T. cf. obliquus ZYY1 reached 97.71 ± 5.81%. This was attributed to the bacteria present in the raw wastewater, which induced T. cf. obliquus ZYY1 to secrete aromatic proteins. This study emphasizes the potential of microalgae as a green technology for sustainable wastewater treatment, offering a practical pathway for environmental protection and resource conservation. Full article
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<p>Cell morphology of microalgae isolated from swine wastewater.</p>
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<p>(<b>a</b>) Heterotrophic growth and (<b>b</b>) pH changes of microalgae in BG11 medium with 10 g/L glucose. Data are the mean ± SD (<span class="html-italic">n</span> = 3).</p>
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<p>(<b>a</b>) Changes in biomass concentration and (<b>b</b>) chlorophyll concentration of <span class="html-italic">T.</span> cf. <span class="html-italic">obliquus</span> ZYY1 under different heterotrophic modes. Data are the mean ± SD (<span class="html-italic">n</span> = 3).</p>
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<p>(<b>a</b>) Changes in biomass concentration and (<b>b</b>) chlorophyll concentration of <span class="html-italic">T.</span> cf. <span class="html-italic">obliquus</span> ZYY1 under different glucose concentrations. Data are the mean ± SD (<span class="html-italic">n</span> = 3).</p>
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<p>(<b>a</b>) Biomass concentration and (<b>b</b>) chlorophyll concentration of <span class="html-italic">T.</span> cf. <span class="html-italic">obliquus</span> ZYY1 in different swine wastewater. Data are the mean ± SD (<span class="html-italic">n</span> = 3).</p>
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<p>(<b>a</b>) Changes in <math display="inline"><semantics> <mrow> <msubsup> <mrow> <mi>NH</mi> </mrow> <mrow> <mn>4</mn> </mrow> <mrow> <mo>+</mo> </mrow> </msubsup> </mrow> </semantics></math>-N concentration, (<b>b</b>) <math display="inline"><semantics> <mrow> <msubsup> <mrow> <mi>PO</mi> </mrow> <mrow> <mn>4</mn> </mrow> <mrow> <mn>3</mn> <mo>−</mo> </mrow> </msubsup> </mrow> </semantics></math>-P concentration, (<b>c</b>) COD concentration, and (<b>d</b>) pH during the treatment of different swine wastewater by <span class="html-italic">T.</span> cf. <span class="html-italic">obliquus</span> ZYY1. Data are the mean ± SD (<span class="html-italic">n</span> = 3).</p>
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<p>The flocculation efficiency of <span class="html-italic">T.</span> cf. <span class="html-italic">obliquus</span> ZYY1 in the treatment of different swine wastewater. Data are the mean ± SD (<span class="html-italic">n</span> = 3).</p>
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<p>The three-dimensional excitation and emission matrix (3D-EEM) fluorescence spectra of EPS from <span class="html-italic">T.</span> cf. <span class="html-italic">obliquus</span> ZZY1 in the sterilized and raw wastewater treated on the 2nd day (<b>a</b>,<b>b</b>), 4th day (<b>c</b>,<b>d</b>), 6th day (<b>e</b>,<b>f</b>), 8th day (<b>g</b>,<b>h</b>), and 10th day (<b>i</b>,<b>j</b>). A represents the aromatic proteins in the EPS.</p>
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<p>The three-dimensional excitation and emission matrix (3D-EEM) fluorescence spectra of EPS from <span class="html-italic">T.</span> cf. <span class="html-italic">obliquus</span> ZZY1 in the sterilized and raw wastewater treated on the 2nd day (<b>a</b>,<b>b</b>), 4th day (<b>c</b>,<b>d</b>), 6th day (<b>e</b>,<b>f</b>), 8th day (<b>g</b>,<b>h</b>), and 10th day (<b>i</b>,<b>j</b>). A represents the aromatic proteins in the EPS.</p>
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12 pages, 1457 KiB  
Article
The Impact of 9 Years of Swine Wastewater Application on the Mineral and Organic Quality of Soil in Various Agricultural Crops
by Ana Paula Almeida Castaldelli Maciel, Gabriela Medeiros, Amanda de Souza Machado, Maria Clara Pilatti, Ralpho Rinaldo dos Reis and Silvio Cesar Sampaio
Water 2024, 16(10), 1412; https://doi.org/10.3390/w16101412 - 16 May 2024
Viewed by 1076
Abstract
This study evaluates the long-term effects of swine wastewater (SWW) on relevant parameters for soil fertility, including calcium (Ca), magnesium (Mg), potassium (K) cations, cation exchange capacity (CEC), and organic matter (OM) in an agricultural area with 9 years of crop cultivation. Three [...] Read more.
This study evaluates the long-term effects of swine wastewater (SWW) on relevant parameters for soil fertility, including calcium (Ca), magnesium (Mg), potassium (K) cations, cation exchange capacity (CEC), and organic matter (OM) in an agricultural area with 9 years of crop cultivation. Three types of SWW (raw, after leaving the biodigester, and after the manure plant) were analyzed with four application rates of SWW (0, 100, 200, and 300 m3.ha−1), associated or not with mineral fertilization, resulting in eight treatments. The study found that the long-term use of SWW had significant effects on soil parameters. Principal component analysis (PCA) was used to summarize the data. The soil’s calcium (Ca), magnesium (Mg), and cation exchange capacity (CEC) levels were higher in soybean compared to other crops and natural soil. Similarly, the treatment with 0 m3.ha−1 of pig manure and without mineral fertilization showed higher levels of these nutrients. In contrast, potassium (K) was found in greater quantities in oats, SWW from the biodigester, higher doses of manure, and with mineral fertilization. The crops had a higher organic matter (OM) content compared to the natural soil, with corn and raw SWW showing the most significant increase. Full article
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<p>Location of the experimental area at the Experimental Center for Agricultural Engineering (NEEA) in Cascavel, Paraná State, Brazil.</p>
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<p>Averages and 95% confidence intervals (bars) for the values of the first principal component (PC1) in relation to crops (<b>a</b>), swine wastewater—SWW (<b>b</b>), pig manure (<b>c</b>), and mineral fertilizer (<b>d</b>). Variables associated (Ca = calcium, Mg = magnesium, CEC = cation exchange capacity) with PC1 and their respective correlations are shown next to the direction of the association (red arrow).</p>
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<p>Averages and 95% confidence intervals (bars) for the values of the second principal component (PC2) in relation to crops (<b>a</b>), swine wastewater—SWW (<b>b</b>), pig manure (<b>c</b>), and mineral fertilizer (<b>d</b>). The variable associated (K = potassium) with PC2 and its respective correlation is shown next to the direction of the association (red arrow).</p>
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<p>Averages and 95% confidence intervals (bars) for organic matter values in relation to crops (<b>a</b>) and swine wastewater (<b>b</b>).</p>
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13 pages, 291 KiB  
Article
The Frequency of Porcine Cysticercosis and Factors Associated with Taenia solium Infection in the Municipality of Tuchín-Córdoba, Colombia
by Margarita M. Arango-Londoño, Sara López-Osorio, Fernando Rojas-Bermudéz and Jenny J. Chaparro-Gutiérrez
Pathogens 2024, 13(4), 311; https://doi.org/10.3390/pathogens13040311 - 11 Apr 2024
Viewed by 2111
Abstract
Taeniasis and cysticercosis are parasitic infections that affect humans and pigs. Their global distribution constitutes a serious public health issue with significant implications for pork production. The purpose of this study was to evaluate the presence of porcine cysticercosis in backyard swine from [...] Read more.
Taeniasis and cysticercosis are parasitic infections that affect humans and pigs. Their global distribution constitutes a serious public health issue with significant implications for pork production. The purpose of this study was to evaluate the presence of porcine cysticercosis in backyard swine from 42 indigenous communities throughout Tuchín-Córdoba, Colombia. Between December 2020 and March 2021, free-range pigs (n = 442) were assessed using the ELISA cysticercosis Ag test; 85 pigs were examined through sublingual visual evaluation, and 4 slaughtered pig carcasses were subjected to standard operation inspection. The collected cysticercus underwent histological and PCR analysis. Furthermore, 192 surveys of knowledge, attitudes, and practices (KAP) were used to identify the factors that facilitate infection transmission. Serological investigation revealed that 9.7% (46/472) of the animals were positive for cysticerci Ag. Sublingual inspection identified cysticercus in 28.7% (25/87) of the animals, while PCR analysis indicated that cysticercus corresponded to the T. solium American/African genotype. The factors associated with T. solium infection in the pigs in the surveyed areas numbered 14. The majority are associated with factors that promote the active persistence of Taenia solium’s life cycle in an area, such as lack of environmental sanitation, a lack of coverage or care for drinking water and wastewater treatment services, and no solid waste disposal. Full article
(This article belongs to the Special Issue Recent Advances in Taeniasis and Cysticercosis)
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15 pages, 1295 KiB  
Article
Continuous Heterogeneous Fenton for Swine Wastewater Treatment: Converting an Industry Waste into a Wastewater Treatment Material
by João Lincho, João Gomes, Rui C. Martins and Eva Domingues
Water 2024, 16(5), 781; https://doi.org/10.3390/w16050781 - 6 Mar 2024
Viewed by 1473
Abstract
Swine wastewater (SW) was treated using industrial wastes as raw materials in a pre-treatment process (coagulation or adsorption), followed by a continuous heterogeneous Fenton reaction. Before the treatment conducted as a continuous operation, two different batch optimization strategies were evaluated, in which the [...] Read more.
Swine wastewater (SW) was treated using industrial wastes as raw materials in a pre-treatment process (coagulation or adsorption), followed by a continuous heterogeneous Fenton reaction. Before the treatment conducted as a continuous operation, two different batch optimization strategies were evaluated, in which the effects of H2O2 concentration and pH were studied. The results show that using excessive H2O2 results in the same behavior, regardless of whether the pH is 3 or 7.5, while at low H2O2 concentrations, the acidic pH improves the chemical oxygen demand (COD) removal due to a higher solubility of iron. The partial addition of H2O2 after 60 min of the reaction proved to be unbeneficial. Considering other perspectives, a continuous Fenton process using iron filings (IF) as the iron source ([H2O2] = 50 mg/L) was applied after the SW pre-treatment, consisting of adsorption with red mud (RM) or coagulation with poly-diallyldimethylammonium chloride (PDADMAC). The RM adsorption presented higher COD removal and lower toxicity than the PDADMAC coagulation, revealing to be a suitable material for this purpose, but for both pre-treatments, the application of a subsequent continuous Fenton process revealed to be essential to achieve the COD discharge limits imposed by the Portuguese law. In addition, high amounts of dissolved iron were present in the samples (55–58 mg/L) after the Fenton process. However, after the overall treatment, the samples showed no harmful characteristics for Lepidium sativum, being classified as “non-toxic”, contrary to the initial wastewater. Full article
(This article belongs to the Section Wastewater Treatment and Reuse)
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<p>Evaluation of pH effect in Fenton reaction (coagulated effluent, [IF] = 15 g/L, t = 60 min, Fe:H<sub>2</sub>O<sub>2</sub> molar ratio and COD/Fe:H<sub>2</sub>O<sub>2</sub> ratio: 183 and 4.6 ([H<sub>2</sub>O<sub>2</sub>] = 50 mg/L) and 18 and 47.2 ([H<sub>2</sub>O<sub>2</sub>] = 500 mg/L)). * Experiments previously reported in [<a href="#B35-water-16-00781" class="html-bibr">35</a>].</p>
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<p>Evaluation of time in batch Fenton reaction ([IF] = 15 g/L, [H<sub>2</sub>O<sub>2</sub>] = 50 mg/L, pH = 3, coagulated effluent).</p>
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<p>(<b>a</b>) Relative COD removal during Fenton process after coagulation or adsorption pre-treatment and (<b>b</b>) global COD removal with the combined processes (Fenton reaction experimental conditions: pH = 3, τ = 49 ± 2 min, mIF = 250 g, mGSF = 250 g. X axis: dimensionless).</p>
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17 pages, 4254 KiB  
Review
Research Advancements in Swine Wastewater Treatment and Resource-Based Safe Utilization Management Technology Model Construction
by Biao Chen, Yong Zhu, Meijin Wu, Yanchun Xiao, Jing Huang, Chengfei Lin and Boqi Weng
Water 2024, 16(5), 661; https://doi.org/10.3390/w16050661 - 23 Feb 2024
Cited by 1 | Viewed by 2657
Abstract
Swine wastewater contains large amounts of organic matter, nutrients, toxic metal elements, and antibiotics. If it is directly discharged or not properly treated, it poses a significant threat to the environment and human health. Currently, the management of swine wastewater has become a [...] Read more.
Swine wastewater contains large amounts of organic matter, nutrients, toxic metal elements, and antibiotics. If it is directly discharged or not properly treated, it poses a significant threat to the environment and human health. Currently, the management of swine wastewater has become a focus of social attention, and it adopts a dual-track parallel model of standard discharge supplemented by resource utilization. If treated properly, it can achieve the recycling of water resources and promote the effective recovery of resources. Based on the pollution characteristics of swine wastewater, this paper analyzes its impact on the environment, society, and the economy in detail and expounds on the research progress of swine wastewater treatment technology. From the perspective of resource utilization and recycling of anaerobic digestion liquid (biogas slurry) from swine wastewater and the carrying capacity of the soil environment and cumulative ecological environmental risks, this study explores new development trends and application prospects for swine wastewater treatment technology. Full article
(This article belongs to the Special Issue Wastewater Treatment and Reuse: Process and Technology)
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<p>Negative impact of pollutants in swine wastewater.</p>
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<p>Basic framework of material flow circulation and circulation safety utilization in related blocks of livestock and planting industries.</p>
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<p>Gradient progressive treatment of swine wastewater and agricultural recycling technology system.</p>
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17 pages, 3216 KiB  
Article
Influence of Swine Wastewater Irrigation and Straw Return on the Accumulation of Selected Metallic Elements in Soil and Plants
by Siyi Li, Zhen Tao, Yuan Liu, Shengshu Li, Rakhwe Kama, Chao Hu, Xiangyang Fan and Zhongyang Li
Agriculture 2024, 14(2), 317; https://doi.org/10.3390/agriculture14020317 - 17 Feb 2024
Cited by 3 | Viewed by 1314
Abstract
Treated livestock wastewater reuse for irrigation and straw return in arid regions have become common practices worldwide. However, many uncertainties still exist regarding the effects of the returning straw sizes on heavy metal accumulation in soil and plants under treated livestock wastewater irrigation. [...] Read more.
Treated livestock wastewater reuse for irrigation and straw return in arid regions have become common practices worldwide. However, many uncertainties still exist regarding the effects of the returning straw sizes on heavy metal accumulation in soil and plants under treated livestock wastewater irrigation. In a pot experiment growing maize and soybean, large (5–10 cm), medium (1–5 cm), and small (<1 cm) sizes of wheat straw were amended to assess the changes in Cu and Zn distribution in the rhizosphere, bulk soils, and plants. Groundwater and swine wastewater were used as irrigation water resources. The results showed that irrigation with swine wastewater significantly reduced soil pH and increased the concentration of soil-available potassium. Concentrations of Cu in soil were more sensitive to swine wastewater and straw application than those of Zn in soil. Swine wastewater irrigation increased the accumulation of Cu and Zn in plants with higher concentrations of Zn, while straw return tended to inhibit this increase, especially when a small size of straw was employed. In addition to providing a reference for revealing the interaction mechanism between swine wastewater irrigation and straw return, this study proposes feasible solutions to improve the efficiency of agricultural waste recycling and realize sustainable agricultural development. Full article
(This article belongs to the Section Crop Production)
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<p>Soil pH (<b>a</b>), organic matter (<b>b</b>), available potassium (<b>c</b>), available phosphorus (<b>d</b>), nitrate-nitrogen (<b>e</b>), and ammonium-nitrogen (<b>f</b>) of the rhizosphere and bulk soil of maize under the treatments of different irrigation water resources and straw sizes. GW refers to groundwater, and SW refers to swine wastewater. Four sizes of straw (CK, 0–1 cm, 1–5 cm, and 5–10 cm) were applied to the soil. Different lowercase letters on the right of the light-blue and dark-blue columns represent significant differences in soil properties among the different treatments of rhizosphere and bulk soils, respectively at <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Soil pH (<b>a</b>), organic matter (<b>b</b>), available potassium (<b>c</b>), available phosphorus (<b>d</b>), nitrate-nitrogen (<b>e</b>), and ammonium-nitrogen (<b>f</b>) of the rhizosphere and bulk soil of soybeans under the treatments of different irrigation water resources and straw sizes. GW refers to groundwater, and SW refers to swine wastewater. Four sizes of straw (CK, 0–1 cm, 1–5 cm, and 5–10 cm) were applied to the soil. Different lowercase letters on the right of the light-green and dark-green columns represent significant differences in soil properties among different treatments of the rhizosphere and bulk soils, respectively, at <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Redundancy analysis presenting the association between rhizospheric properties and Cu/Zn content in the soils and fruits of maize (<b>a</b>) and soybeans (<b>b</b>). “CK”, “0–1 cm”, “1–5 cm”, and “5–10 cm” represent the four straw return treatments with different sizes. Cu(R) refers to the Cu content in the rhizosphere, Cu(F) refers to Cu the content in the maize or soybean fruits, Zn(R) refers to the Zn content in the rhizosphere, Zn(F) refers to the Zn content in the maize or soybean fruits, OM refers to organic matter, AP refers to available phosphorus, AK refers to available potassium, Nitrate refers to nitrate-nitrogen, and Ammonium refers to ammonium-nitrogen.</p>
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<p>Cu concentrations in the soil of maize (<b>a</b>) and soybeans (<b>b</b>) and Zn concentrations in the soil of maize (<b>c</b>) and soybeans (<b>d</b>). “CK”, “0–1 cm”, “1–5 cm”, and “5–10 cm” represent the four straw return treatments with different sizes. GW refers to groundwater, and SW refers to swine wastewater. Different lowercase letters on the center of the light-color and dark-color columns represent significant differences in soil properties among different treatments of the rhizosphere and bulk soils, respectively, at <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Cu concentrations in the plant tissues of maize (<b>a</b>) and soybeans (<b>b</b>) and the Zn concentrations in the plant tissues of maize (<b>c</b>) and soybeans (<b>d</b>). “CK”, “0–1 cm”, “1–5 cm”, and “5–10 cm” represent the four straw return treatments with different sizes. GW refers to groundwater, and SW refers to swine wastewater. Different lowercase letters on the same color columns represent significant differences between treatments at <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Bioaccumulation factor (BF) of heavy metals for maize (<b>a</b>) and soybeans (<b>b</b>). “CK”, “0–1 cm”, “1–5 cm”, and “5–10 cm” represent the four straw return treatments with different sizes. GW refers to groundwater, and SW refers to swine wastewater. Different lowercase letters on the center of the light-color and dark-color columns represent significant differences in the BFs of Cu and Zn among different treatments, respectively, at <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Translocation factor (TF) of heavy metals for maize (<b>a</b>) and soybeans (<b>b</b>). “CK”, “0–1 cm”, “1–5 cm”, and “5–10 cm” represent the four straw return treatments with different sizes. GW refers to groundwater, and SW refers to swine wastewater. Different lowercase letters on the center of the light-color and dark-color columns represent significant differences in the TF of Cu and Zn among different treatments, respectively, at <span class="html-italic">p</span> &lt; 0.05.</p>
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11 pages, 4140 KiB  
Article
Effects of Cu (II) on the Growth of Chlorella vulgaris and Its Removal Efficiency of Pollutants in Synthetic Piggery Digestate
by Yaqiong Zeng, Xiaoqing Chen, Jiaming Zhu, Dingbiao Long, Yue Jian, Qiong Tan and Hao Wang
Toxics 2024, 12(1), 56; https://doi.org/10.3390/toxics12010056 - 11 Jan 2024
Cited by 2 | Viewed by 1709
Abstract
C. vulgaris has a positive effect on the removal of nutrients from pig farm biogas slurry. However, swine wastewater often contains heavy metal ions, such as Cu (II), which may have impacts on the nutrient removal performance of C. vulgaris. Additionally, the [...] Read more.
C. vulgaris has a positive effect on the removal of nutrients from pig farm biogas slurry. However, swine wastewater often contains heavy metal ions, such as Cu (II), which may have impacts on the nutrient removal performance of C. vulgaris. Additionally, the heavy metal ions in wastewater can be adsorbed by microalgae. In this study, the stress effect of Cu (II) on the growth of Chlorella vulgaris, the Cu (II) removal by microalgae, and the effect of different concentrations of Cu (II) on the nutrient removal efficiency of C. vulgaris in biogas slurries were explored. The results showed that the microalgae biomass of microalgae on the sixth day of the experiment was the highest in the treatment with a Cu (II) concentration of 0.5 mg/L, which was 30.1% higher than that of the 2.5 mg/L group. C. vulgaris had higher removal efficiencies of Cu (II) at a Cu (II) concentration of 0.1~1.5 mg/L. The–OH, C=O, –COOH, and C–O groups on the surface of the algal cells play a significant role in the removal of Cu (II). The removal rates of COD, NH3–N, TN, and TP by C. vulgaris at a Cu (II) concentration of 0.5 mg/L were the highest, which were 89.0%, 53.7%, 69.6%, and 47.3%, respectively. Full article
(This article belongs to the Special Issue Effective Catalytic Processes for Water and Wastewater Treatment)
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<p>Linear regression between the dry weight of microalgae biomass and optical density.</p>
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<p>Dynamic changes in microalgae biomass with various concentrations of Cu (II) in swine wastewater.</p>
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<p>MDA (<b>A</b>) and protein (<b>B</b>) content in algae cells at different Cu (II) concentrations. Different superscripts for each column indicate significant difference (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Changes in Cu (II) concentration with culture time (<b>A</b>) and Cu (II) removal efficiency by microalgae (<b>B</b>). Different superscripts for each column indicate significant difference (<span class="html-italic">p</span> &lt; 0.05).</p>
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<p>Scanning electron microscope micrograph of <span class="html-italic">C. vulgaris</span> at Cu (II) concentrations of 0.5 mg/L (<b>a</b>) and 2.5 mg/L (<b>b</b>).</p>
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<p>FTIR spectra (<b>a</b>) and XPS patterns (<b>b</b>) of <span class="html-italic">C. vulgaris</span> at Cu (II) concentrations of 0 and 1.5 mg/L.</p>
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<p>Nutrient removal rate of microalgae cultured in wastewater with different Cu (II) concentrations. Different superscripts for each nutrient indicate significant difference (<span class="html-italic">p</span> &lt; 0.05).</p>
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15 pages, 1869 KiB  
Article
Co-Valorisation Energy Potential of Wastewater Treatment Sludge and Agroforestry Waste
by Amadeu D. S. Borges, Miguel Oliveira, Bruno M. M. Teixeira and Frederico Branco
Environments 2024, 11(1), 14; https://doi.org/10.3390/environments11010014 - 9 Jan 2024
Viewed by 2116
Abstract
The growing demand for sustainable and environment-friendly energy sources resulted in extensive research in the field of renewable energy. Biomass, derived from organic materials such as agricultural waste, forestry products, and wastewater treatment plant (WWTP) sludge, holds great potential as a renewable energy [...] Read more.
The growing demand for sustainable and environment-friendly energy sources resulted in extensive research in the field of renewable energy. Biomass, derived from organic materials such as agricultural waste, forestry products, and wastewater treatment plant (WWTP) sludge, holds great potential as a renewable energy resource that can reduce greenhouse gas emissions and offer sustainable solutions for energy production. This study focused on diverse biomass materials, including sludge from WWTPs, forest biomass, swine waste, cork powder, and biochar. Chemical and physicochemical characterizations were performed to understand their energy potential, highlighting their elemental composition, proximate analysis, and calorific values. Results showed that different biomasses have varying energy content, with biochar and cork powder emerging as high-energy materials with net heating values of 32.56 MJ/kg and 25.73 MJ/kg, respectively. WWTP sludge also demonstrated considerable potential with net heating values of around 14.87 MJ/kg to 17.44 MJ/kg. The relationships between biomass compositions and their heating values were explored, indicating the significance of low nitrogen and sulphur content and favourable carbon, hydrogen, and moisture balances for energy production. Additionally, this study looked into the possibility of mixing different biomasses to optimize their use and overcome limitations like high ash and moisture contents. Mixtures, such as “75% Santo Emilião WWTP Sludge + 25% Biochar,” showed impressive net heating values of approximately 21.032 MJ/kg and demonstrated reduced emissions during combustion. The study’s findings contribute to renewable energy research, offering insights into efficient and sustainable energy production processes and emphasizing the environmental benefits of biomass energy sources with low nitrogen and sulphur content. Full article
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<p>Projection of the variables on the factor plane (1 × 2).</p>
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<p>Projection of the samples on the factor plane (1 × 2).</p>
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<p>Tree diagram for 31 samples.</p>
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<p>Eigenvalues of correlation matrix.</p>
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<p>Plot of linkage distances across steps.</p>
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<p>Pareto chart of t-values for coefficients.</p>
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