Water Research最新文献

{"title":"Corrigendum to \"Interactions of graphene oxide with the microbial community of biologically active filters from a water treatment plant\" [Water Research 263 (2024) 122155].","authors":"Tanvir Ahamed, Chao Li, Mengyan Li, Lisa Axe","doi":"10.1016/j.watres.2024.122637","DOIUrl":"10.1016/j.watres.2024.122637","url":null,"abstract":"","PeriodicalId":443,"journal":{"name":"Water Research","volume":"268 Pt A","pages":"122637"},"PeriodicalIF":11.4,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142567110","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Glyphosate binding and speciation at the water-goethite interface: a surface complexation model consistent with IR spectroscopy and MO/DFT","authors":"Bram Geysels, Tjisse Hiemstra, Jan E. Groenenberg, Rob N.J Comans","doi":"10.1016/j.watres.2024.123031","DOIUrl":"https://doi.org/10.1016/j.watres.2024.123031","url":null,"abstract":"Binding of glyphosate (PMG) to metal (hydr)oxides controls its availability and mobility in natural waters and soils, and these minerals are often suggested for the removal of PMG from wastewaters. However, a solid mechanistic and quantitative description of the adsorption behavior and surface speciation on these surfaces is still lacking, while it is essential for understanding PMG behavior in aquatic and terrestrial systems. This study gives new insights through advanced surface complexation modeling of new and previously published adsorption data, supplemented with MO/DFT calculations of the geometry, thermochemistry and theoretical infrared (IR) spectra of the surface complexes. PMG complexation by goethite (FeOOH) was measured over a wide range of pH (∼4-10), solution concentration (∼10^-7-10^-3M), and surface loading (∼0.3-3.0 μmol m^-2). Mechanistical modeling using the charge distribution approach revealed the formation of both monodentate and bidentate PMG complexes, each in two protonation states. PMG adsorption is dominated (>60%) by the formation of a bidentate complex having a protonated amino group that deprotonates at high pH and low loading, aligning with previously published ATR-FTIR analyses. Monodentate complexes are less abundant and maintain a protonated amino group over the entire pH range. In addition, the phosphonate group becomes protonated at low pH and high loading. DFT calculations support the role of protons in the surface speciation. The obtained model was able to predict the solution concentration of PMG and its strong pH dependency over the full range in our experiments. Our study provides a new mechanistic and quantitative understanding of PMG binding to goethite, which enables improved predictions of the fate and transport of PMG in and towards natural waters, and provides a framework for optimizing the removal efficiency of PMG with metal (hydr)oxides.","PeriodicalId":443,"journal":{"name":"Water Research","volume":"13 1","pages":""},"PeriodicalIF":12.8,"publicationDate":"2024-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142867372","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparison of the combined toxicity of PFOA and emerging alternatives: A comprehensive evaluation of oxidative damage, apoptosis and immunotoxicity in embryonic and adult zebrafish","authors":"Jingwen Zhang, Shuolin Zhang, Chengbo Lu, Xiaole Wang, Zhongkun Du, Jinhua Wang, Bing Li, Jun Wang, Lusheng Zhu","doi":"10.1016/j.watres.2024.123028","DOIUrl":"https://doi.org/10.1016/j.watres.2024.123028","url":null,"abstract":"Perfluorohexanoic acid (PFHxA) and perfluorobutanoic acid (PFBA) are widely used substitutes to perfluorooctanoic acid (PFOA). Whether these substitutes are less toxic than PFOA remains unclear owing to differences in the experimental methods, test organisms, and other experimental conditions in previous studies. The present study selected 0.5 and 5 μg L^–1 as the test concentrations and simultaneously compared the combined toxicity of the substitutes and PFOA in terms of oxidative damage, neurotoxicity, apoptosis, and immunotoxicity in two developmental stages of zebrafish (adult and embryos) under the same test conditions. The results indicated that in both adult and embryonic zebrafish, PFHxA, PFBA, and PFOA disrupt redox homeostasis, stimulate cell proliferation, and lead to carcinogenesis. The mechanisms by which PFHxA and PFOA induce neurotoxicity and immunotoxicity were similar. Molecular docking analysis showed that the substitutes and PFOA stably attached to proteins and changed their structure and function. The obtained integrated biomarker response index values indicated that the toxicity of PFHxA, PFBA, and PFOA in zebrafish increased with increasing concentrations; PFHxA was more toxic than PFOA. The present study clarified the ecotoxicity of PFHxA and PFBA in zebrafish and simultaneously compared the differences in toxicity between the substitutes and PFOA to zebrafish, providing a robust scientific basis for the clarification and selection of safe substitutes to PFOA.","PeriodicalId":443,"journal":{"name":"Water Research","volume":"31 1","pages":""},"PeriodicalIF":12.8,"publicationDate":"2024-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142867403","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Towards a better understanding of sorption of persistent and mobile contaminants to activated carbon: Applying data analysis techniques with experimental datasets of limited size","authors":"Navid Saeidi, Laura Lotteraner, Gabriel Sigmund, Thilo Hofmann, Martin Krauss, Katrin Mackenzie, Anett Georgi","doi":"10.1016/j.watres.2024.123032","DOIUrl":"https://doi.org/10.1016/j.watres.2024.123032","url":null,"abstract":"The complex sorption mechanisms of carbon adsorbents for the diverse group of persistent, mobile, and potentially toxic substances (PMs or PMTs) present significant challenges in understanding and predicting adsorption behavior. While the development of quantitative predictive tools for adsorbent design often relies on extensive training data, there is a notable lack of experimental sorption data for PMs accompanied by detailed sorbent characterization. Rather than focusing on predictive tool development, this study aims to elucidate the underlying mechanisms of sorption by applying data analysis methods to a high-quality dataset. This dataset includes more than 60 isotherms for 22 PM candidates and well-characterized high-surface-area activated carbon (AC) materials. We demonstrate how tools such as distance correlation and clustering can be used effectively to identify the key parameters driving the sorption process. Using these approaches, we found that aromaticity, followed by hydrophobicity, are key sorbate descriptors for sorption, overshadowing steric and charge effects for a given sorbent. Aromatic PMs, although classified as mobile contaminants based on their sorption to soil, are well adsorbed by AC as engineered adsorbent via π-π interactions. Non-aromatic and especially anionic compounds show much greater variability in sorption. The influence of ionic strength and natural organic matter on adsorption was considered. Our approach will help in the analysis of solute-sorption systems and in the development of new adsorbents beyond the specific examples presented here. In order to make the approach accessible, the code is freely available and described on GitHub (<span><span>https://github.com/Laura-Lotteraner/PM-Sorption</span><svg aria-label=\"Opens in new window\" focusable=\"false\" height=\"20\" viewbox=\"0 0 8 8\"><path d=\"M1.12949 2.1072V1H7V6.85795H5.89111V2.90281L0.784057 8L0 7.21635L5.11902 2.1072H1.12949Z\"></path></svg></span>), following the FAIR data principles.","PeriodicalId":443,"journal":{"name":"Water Research","volume":"24 1","pages":""},"PeriodicalIF":12.8,"publicationDate":"2024-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142867368","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Dissemination mechanisms of unique antibiotic resistance genes from flowback water to soil revealed by combined Illumina and Nanopore sequencing","authors":"Rui Yang, Jialin Tang, Junfeng Niu, Bowen Hou, Lilan Zhang","doi":"10.1016/j.watres.2024.123030","DOIUrl":"https://doi.org/10.1016/j.watres.2024.123030","url":null,"abstract":"As a byproduct of shale gas extraction, flowback water (FW)is produced in large quantities globally. Due to the unique interactions between pollutants and microorganisms, FW always harbor multiple antibiotic resistance genes (ARGs) that have been confirmed in our previous findings, potentially serving as a point source for ARGs released into the environment. However, whether ARGs in FW can disseminate or integrate into the environmental resistome remains unclear. In this study, unique ARGs from FW were identified, and the ARG profiles in soil and FW-spiked soil were compared using a combination of Illumina and Nanopore sequencing. The results indicated that the total abundance of the soil resistome increased by 30.8% in soil contaminated with FW. Of this increase, 11.1% was attributable to the integration of exogenous ARGs from FW into the soil resistome. Sequence alignment at the gene level further confirmed the successful integration of 20 unique ARG sequences classified as multidrug and vancomycin resistance genes into the soil resistome. These 20 ARG sequences were detected only in the FW. Multiple lines of evidence indicated that horizontal gene transfer dominated ARG dissemination in soil contaminated by FW. This conclusion is supported by the discrepancy between changes in mobile ARGs and host abundance, the upregulation of oxidative stress-related genes (<em>SOD1</em> and <em>SOD2</em>) and the SOS response (<em>lexA</em> and <em>recA</em>), as well as the upregulation of genes related to quorum sensing (<em>virD4, virB9</em>, and <em>virB3</em>) and naked DNA uptake (<em>pilD, pilT</em>, and <em>pilQ</em>).","PeriodicalId":443,"journal":{"name":"Water Research","volume":"24 1","pages":""},"PeriodicalIF":12.8,"publicationDate":"2024-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142867370","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Energy production and denitrogenation performance by sludge biochar based constructed wetlands-microbial fuel cells system: Overcoming carbon constraints in water","authors":"Boda Ouyang, Zhiyong Zhang, Fuzhi Chen, Fei Li, Ming-Lai Fu, Huachun Lan, Baoling Yuan","doi":"10.1016/j.watres.2024.123024","DOIUrl":"https://doi.org/10.1016/j.watres.2024.123024","url":null,"abstract":"As freshwater demand grows globally, using reclaimed water in natural water bodies has become essential. Constructed wetlands (CWs) are widely used for advanced wastewater treatment due to their environmental benefits. However, low carbon/nitrogen (C/N) ratios in wastewater limit nitrogen removal, often leading to eutrophication. This study explores the use of sewage sludge biochar (SB) and activated carbon (AC) as electrodes in microbial fuel cell-constructed wetlands (MFC-CW) to enhance nitrogen removal and energy generation. Results indicated that the sludge biochar closed-circuit CW (MSBS-CW) achieved considerable total nitrogen removal (95.85%) and maximum power density (9.05 mW/m²). Furthermore, high-throughput sequencing and functional gene analysis revealed substantial shifts in the microbial community within MSBS-CW, particularly in the electroactive bacteria (<em>Geobacter</em>), autotrophic denitrifying bacterium (<em>Hydrogenophaga, Thiobacillus</em>) and anaerobic ammonium oxidation bacteria (<em>Candidatus_Brocadia</em>). Electrochemical and material characterization showed that SB enhanced the cathode's electrochemical performance and the anode's biocompatibility, thereby improving denitrification and energy generation. This study demonstrates that sludge biochar is an effective low-cost electrode material for MFC-CW systems, offering a sustainable solution for nitrogen removal and energy production under carbon-constrained conditions.","PeriodicalId":443,"journal":{"name":"Water Research","volume":"27 1","pages":""},"PeriodicalIF":12.8,"publicationDate":"2024-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142867371","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"In-situ Synthesis of FeS Nanoparticles Enhances Sulfamethoxazole Degradation via Accelerated Electron Transfer in Anaerobic Bacterial Communities","authors":"Yaru Zhang, Zhaoyong Bian, Feng Wang, Yiyin Peng, Wenyu Xiao, Qiang Zhang","doi":"10.1016/j.watres.2024.123025","DOIUrl":"https://doi.org/10.1016/j.watres.2024.123025","url":null,"abstract":"The impact of nanominerals on microbial electron transfer and energy metabolism strategies during pollutant degradation remains uncertain. This study used in situ synthesized FeS nanoparticles (FeS NPs) to increase the degradation efficiency of SMX by anaerobic bacterial communities from 25.80% to 47.60%. The proportion of intracellular degradation by bacteria in the community significantly increased by 23.25 times, which mainly facilitated by NADH-dependent reductases and iron-sulfur proteins. Microbial network analysis and electrochemical analysis indicated that the in-situ synthesis of FeS NPs altered the interactions among different microbial species, enabling <em>Petrimonas</em> to transfer electrons directly to <em>Lysinibacillus</em> more effectively. This adjustment led to an increase in the activity of the electron transport system by 1.2 times, an increase in the electron supply capacity by 2.8 times, and a decrease in the electrochemical impedance (EIS) to 3.21 Ω. Moreover, the coupling of electron transfer pathways and protease transport channels significantly increased Na⁺/K⁺-ATPase by 14.72 times. Inhibitor experiments and molecular dynamics (MD) results showed that FeS NPs interact with Nqo1 in the cell membrane via electrostatic force at -28.573 kcal/mol, forming a unique electron conduit with ubiquinone (CoQ). This study provides new insights into the role of in situ nanominerals in electron transfer between different microorganisms, aim to enhance the antibiotic wastewater treatment efficiency in actual anaerobic processes.","PeriodicalId":443,"journal":{"name":"Water Research","volume":"79 1","pages":""},"PeriodicalIF":12.8,"publicationDate":"2024-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142867369","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Spatial Assessment of Drinking Water Flavor in China: Revealing Regional Disparities and Underlying Drivers","authors":"Youwen Shuai, Kejia Zhang, Tuqiao Zhang, Hui Zhu, Sha Jin, Tingting Hu, Zhefan Yu, Xinyu Liang","doi":"10.1016/j.watres.2024.123020","DOIUrl":"https://doi.org/10.1016/j.watres.2024.123020","url":null,"abstract":"Drinking water flavor, a critical water quality metric, exhibits substantial regional variations across China, influenced by local geology and chemistry. Despite growing consumer concerns about water flavor, a spatial assessment of the determinants of water flavor in China has been notably lacking. This study bridges this gap by conducting a spatially comprehensive analysis of 78 tap water samples throughout China. A reliable flavor evaluation method, alongside advanced statistical techniques, including correlation analysis, principal component analysis (PCA), and spatial autocorrelation analysis, were applied to identify the drivers behind regional flavor differences. The findings reveal four predominant types of flavor variations attributed to distinct organic and inorganic factors. The spatial distribution patterns of key parameters impacting flavor were clarified by Moran's I statistic. Notably, the South-to-North Water Diversion Project is highlighted for its role in enhancing water flavor by modifying the chemical composition of water in recipient regions. Dissolved organic carbon (DOC), trihalomethanes (THMs), and the fluorescence index (Φ_IV,n) are identified as non-negligible supplementary indicators of water flavor. The research highlights the need for region-specific strategies to enhance the flavor of drinking water nationwide.","PeriodicalId":443,"journal":{"name":"Water Research","volume":"47 1","pages":""},"PeriodicalIF":12.8,"publicationDate":"2024-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142867404","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Environmental Drivers of Dissolved Organic Matter Composition Across Central European Aquatic Systems: A novel correlation-based machine learning and FT-ICR MS approach.","authors":"Michel Gad, Narjes Tayyebi Sabet Khomami, Ronald Krieg, Jana Schor, Allan Philippe, Oliver J. Lechtenfeld","doi":"10.1016/j.watres.2024.123018","DOIUrl":"https://doi.org/10.1016/j.watres.2024.123018","url":null,"abstract":"Dissolved organic matter (DOM) present in surface aquatic systems is a heterogeneous mixture of organic compounds reflecting its allochthonous and autochthonous organic matter (OM) sources. The composition of DOM is determined by environmental factors like land use, water chemistry, and climate, which influence its release, movement, and turnover in the ecosystem. However, studying the impact of these environmental factors on DOM composition is challenging due to the dynamic nature of the system and the complex interactions of multiple environmental factors involved. Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR MS) enables detailed molecular-level analysis of DOM, allowing the identification of thousands of individual molecular formulas potentially representing unique markers for its “molecular history”. The combination of FT-ICR MS with machine-learning techniques is promising to unravel DOM-environment interactions owing to their capacity to capture complex non-linear relationships. We present a novel unsupervised multi-variant machine-learning approach, aiming to model correlation coefficients as robust indicators of how changes in environmental factors (e.g., the concentration of nutrients or the land use) result in changes in the molecular formula descriptors of DOM (i.e., aromaticity index or hydrogen to carbon ratio). We applied this approach to an environmental data set collected from 84 sites across central Europe exhibiting a broad range of water chemistry and land uses. Our model revealed an increase in molecular mass and aromaticity of DOM in densely forested regions as compared to open urban areas, where DOM was characterized by higher concentrations of dissolved ions and increased microbial degradation, leading to smaller and more aliphatic DOM. Our findings highlight the substantial human impact on climate change, as evidenced by the accelerated photochemical and microbial degradation of DOM, which consequently enhances greenhouse gas emissions and exacerbates global warming.","PeriodicalId":443,"journal":{"name":"Water Research","volume":"5 1","pages":""},"PeriodicalIF":12.8,"publicationDate":"2024-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142867405","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A feasibility study on cortisol and cortisone as biomarkers for psychological stress in wastewater-based epidemiology","authors":"Xue-Ting Shao, Yan-Song Wang, Zhen-Fang Gong, Yan-Ying Li, Jian-Guo Lin, De-Gao Wang","doi":"10.1016/j.watres.2024.123022","DOIUrl":"https://doi.org/10.1016/j.watres.2024.123022","url":null,"abstract":"Psychological stress has a significant impact on individuals' quality of life and health. Traditionally, psychological stress assessment relies on self-reported tools such as the Perceived Stress Scale (PSS), which are inherently subjective. This study aims to evaluate the feasibility of using wastewater-based epidemiology (WBE) to assess cortisol and cortisone as biomarkers for psychological stress. We conducted sampling and monitoring of cortisol and cortisone concentrations at both a small-scale campus setting (five weeks) and a large-scale municipal wastewater treatment plant (12 months), calculating the mass loads of these hormones. At the campus level, while the mass load of cortisone was higher during exam weeks compared to regular class weeks, and higher in females than in males, no significant differences were observed in the mass load of cortisol. The mass load results of cortisone were consistent with the findings of the PSS-14 questionnaire. These results suggest that cortisone is a more suitable biomarker for psychological stress assessment. In the large-scale municipal wastewater samples, seasonal variations were observed, with higher levels of cortisol and cortisone in winter compared to summer, likely due to the COVID-19 outbreak in winter and the presence of external pharmaceutical sources. The results indicate that cortisone is more suitable for small-scale stress assessments, as larger-scale evaluations may be more significantly influenced by wastewater transport or sampling methodologies.","PeriodicalId":443,"journal":{"name":"Water Research","volume":"148 1","pages":""},"PeriodicalIF":12.8,"publicationDate":"2024-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142867406","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}