Pub Date : 2025-03-19DOI: 10.1016/j.envpol.2025.126094
Monica M. Arienzo, Kelly E. Gleason, Graham A. Sexstone, Mae Sexauer Gustin, Melissa R. Schwan, Nicole Choma, Sarrah M. Dunham-Cheatham, Joseph R. McConnell, Peter J. Weisberg, Adam Csank
Seasonal snow is an important source of drinking water and recreation, and for agriculture in the Rocky Mountain region. Monitoring snow-water quality can inform on the effects to the albedo and energy balance of the snowpack, and the sources of natural and anthropogenic aerosol and gases. This study analyzed metals in the seasonal snowpack from water year (WY) 2018 for 49 sites. Calcium, lanthanum, and cerium concentrations support the importance of mineral dust to the southern Rocky Mountains. Mercury (Hg), zinc (Zn), and cadmium (Cd) concentrations showed a similar spatial pattern to mineral dust, whereas antimony (Sb) concentrations were highest in the northern Rocky Mountains. To assess the relative contributions from dust versus anthropogenic contaminant sources, enrichment factors (EF) were calculated, with values above 10 indicating anthropogenic contamination. For Cd, Hg, Sb, and Zn, EF values exceeded 10 at northern sites. These observations were compared to spatial trends of EF values of Hg from WY2009 to WY2018, regional monitoring networks, and back trajectory analyses. The agreement between these datasets revealed temporally consistent contaminant sources and/or transport processes to the northern Rocky Mountains snowpack. Sources include current and historical mining and smelting in the region. Strategies to limit the emissions of these metals to the Northern Rockies could benefit from focusing on remediation of contaminated sites, and continued monitoring and mitigation of active mining and smelting.
{"title":"Latitudinal gradients of snow contamination in the Rocky Mountains associated with anthropogenic sources","authors":"Monica M. Arienzo, Kelly E. Gleason, Graham A. Sexstone, Mae Sexauer Gustin, Melissa R. Schwan, Nicole Choma, Sarrah M. Dunham-Cheatham, Joseph R. McConnell, Peter J. Weisberg, Adam Csank","doi":"10.1016/j.envpol.2025.126094","DOIUrl":"https://doi.org/10.1016/j.envpol.2025.126094","url":null,"abstract":"Seasonal snow is an important source of drinking water and recreation, and for agriculture in the Rocky Mountain region. Monitoring snow-water quality can inform on the effects to the albedo and energy balance of the snowpack, and the sources of natural and anthropogenic aerosol and gases. This study analyzed metals in the seasonal snowpack from water year (WY) 2018 for 49 sites. Calcium, lanthanum, and cerium concentrations support the importance of mineral dust to the southern Rocky Mountains. Mercury (Hg), zinc (Zn), and cadmium (Cd) concentrations showed a similar spatial pattern to mineral dust, whereas antimony (Sb) concentrations were highest in the northern Rocky Mountains. To assess the relative contributions from dust versus anthropogenic contaminant sources, enrichment factors (EF) were calculated, with values above 10 indicating anthropogenic contamination. For Cd, Hg, Sb, and Zn, EF values exceeded 10 at northern sites. These observations were compared to spatial trends of EF values of Hg from WY2009 to WY2018, regional monitoring networks, and back trajectory analyses. The agreement between these datasets revealed temporally consistent contaminant sources and/or transport processes to the northern Rocky Mountains snowpack. Sources include current and historical mining and smelting in the region. Strategies to limit the emissions of these metals to the Northern Rockies could benefit from focusing on remediation of contaminated sites, and continued monitoring and mitigation of active mining and smelting.","PeriodicalId":311,"journal":{"name":"Environmental Pollution","volume":"126 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143653957","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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}
Pub Date : 2025-03-19DOI: 10.1016/j.envpol.2025.126095
Zhiye Sun , Baoan Li , Jun Liu
The presence of both pentavalent vanadium [V(Ⅴ)] and nitrogen in wastewaters from vanadium smelting poses significant environmental challenges. However, it remains little in the way of continuous flow biological reactor to concurrently eliminated V(Ⅴ) and nitrogen in wastewaters. Herein, membrane-aerated biofilm reactor (MABR) system was designed to achieve simultaneous nitrification and denitrification (SND) alongside biological reduction, detoxification, and recovery of vanadium. Vanadium and nitrogen removal performances, solid-state characterization, microbial compositions and functional genes, and the mechanism related to the metabolism of vanadium and nitrogen were illuminated. Notably, we identified a potential role for biofilm-derived “secretion” in the transformation of V(Ⅴ) and nitrogen. Our findings revealed that the system achieved SND efficiency of 98.00 ± 0.57 % and removed 91.10 ± 3.60 % of total vanadium (TV) even at high influent V(Ⅴ) concentrations in continuous flow stage. Batch experiments implied that the conversion of NH4+-N was the limiting process of nitrogen removal in MABR system, and the extracellular polymeric substances (EPS) might play an important role in the conversion of V(Ⅴ) and nitrogen. V(Ⅴ) was reduced to V(Ⅳ), which was immobilized to biofilm and “secretion” by microbial surface functional groups, including C-O, O-C=O and -OH. Acinetobacter, Dechlorobacter, Denitratisoma and Nitrospira were verified as microbes associated with V(Ⅴ) and nitrogen metabolism. The abundance of functional genes pertaining to electron donor, electron transport, and electron acceptor systems increased under high V(V) stimulation. Collectively, the cooperation of biofilm and “secretion” ensured the intensive removal of vanadium and nitrogen. This study provides new insights into the concurrent removal of heavy metal and environmental nutrient.
{"title":"Synchronous vanadium bio-reduction/detoxification/recovery and nitrogen attenuation in a membrane aerated biofilm reactor","authors":"Zhiye Sun , Baoan Li , Jun Liu","doi":"10.1016/j.envpol.2025.126095","DOIUrl":"10.1016/j.envpol.2025.126095","url":null,"abstract":"<div><div>The presence of both pentavalent vanadium [V(Ⅴ)] and nitrogen in wastewaters from vanadium smelting poses significant environmental challenges. However, it remains little in the way of continuous flow biological reactor to concurrently eliminated V(Ⅴ) and nitrogen in wastewaters. Herein, membrane-aerated biofilm reactor (MABR) system was designed to achieve simultaneous nitrification and denitrification (SND) alongside biological reduction, detoxification, and recovery of vanadium. Vanadium and nitrogen removal performances, solid-state characterization, microbial compositions and functional genes, and the mechanism related to the metabolism of vanadium and nitrogen were illuminated. Notably, we identified a potential role for biofilm-derived “secretion” in the transformation of V(Ⅴ) and nitrogen. Our findings revealed that the system achieved SND efficiency of 98.00 ± 0.57 % and removed 91.10 ± 3.60 % of total vanadium (TV) even at high influent V(Ⅴ) concentrations in continuous flow stage. Batch experiments implied that the conversion of NH<sub>4</sub><sup>+</sup>-N was the limiting process of nitrogen removal in MABR system, and the extracellular polymeric substances (EPS) might play an important role in the conversion of V(Ⅴ) and nitrogen. V(Ⅴ) was reduced to V(Ⅳ), which was immobilized to biofilm and “secretion” by microbial surface functional groups, including C-O, O-C=O and -OH. <em>Acinetobacter</em>, <em>Dechlorobacter</em>, <em>Denitratisoma</em> and <em>Nitrospira</em> were verified as microbes associated with V(Ⅴ) and nitrogen metabolism. The abundance of functional genes pertaining to electron donor, electron transport, and electron acceptor systems increased under high V(V) stimulation. Collectively, the cooperation of biofilm and “secretion” ensured the intensive removal of vanadium and nitrogen. This study provides new insights into the concurrent removal of heavy metal and environmental nutrient.</div></div>","PeriodicalId":311,"journal":{"name":"Environmental Pollution","volume":"372 ","pages":"Article 126095"},"PeriodicalIF":7.6,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143660443","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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}
The widespread distribution of microplastics (MP) in aquatic systems highlights the need for a clear understanding of how they are transported and accumulate on the bottom of water bodies. Developing predictive models for MP dispersion, sedimentation, and bioaccumulation is crucial for informing regulatory decisions and mitigating the impact of MP and related pollutants. Among the key parameters, MP settling velocity is considered the most critical for predicting their behavior in aquatic environments. Recent studies suggest an intricate and not fully understood relationship between MP settling and sediment dynamics. To date, none of the current models can predict how sediment modifies MP settling velocity. Therefore, previous understanding on MP settling does not fully account for the sedimentation of MP in aquatic ecosystems, where sediment suspension is present. This study provides further evidence that the presence of sediment alters the sedimentation rate of MP based on their shape, offering a quantitative estimate of this interaction. For the first time, the effects sediment interaction has on MP sinking trajectories and inclinations are presented. A preliminary, modified version of an existing formula is proposed to estimate MP settling velocity in the presence of sediment, laying the groundwork for more accurate predictive models of MP transport in aquatic environments.
{"title":"Settling velocities of microplastics with different shapes in sediment-water mixtures","authors":"Mirco Mancini , Simona Francalanci , Teresa Serra , Jordi Colomer , Luca Solari","doi":"10.1016/j.envpol.2025.126071","DOIUrl":"10.1016/j.envpol.2025.126071","url":null,"abstract":"<div><div>The widespread distribution of microplastics (MP) in aquatic systems highlights the need for a clear understanding of how they are transported and accumulate on the bottom of water bodies. Developing predictive models for MP dispersion, sedimentation, and bioaccumulation is crucial for informing regulatory decisions and mitigating the impact of MP and related pollutants. Among the key parameters, MP settling velocity is considered the most critical for predicting their behavior in aquatic environments. Recent studies suggest an intricate and not fully understood relationship between MP settling and sediment dynamics. To date, none of the current models can predict how sediment modifies MP settling velocity. Therefore, previous understanding on MP settling does not fully account for the sedimentation of MP in aquatic ecosystems, where sediment suspension is present. This study provides further evidence that the presence of sediment alters the sedimentation rate of MP based on their shape, offering a quantitative estimate of this interaction. For the first time, the effects sediment interaction has on MP sinking trajectories and inclinations are presented. A preliminary, modified version of an existing formula is proposed to estimate MP settling velocity in the presence of sediment, laying the groundwork for more accurate predictive models of MP transport in aquatic environments.</div></div>","PeriodicalId":311,"journal":{"name":"Environmental Pollution","volume":"372 ","pages":"Article 126071"},"PeriodicalIF":7.6,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143660444","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-03-18DOI: 10.1016/j.envpol.2025.126080
T. Triwiyanto
Section snippets
Data Availability
No datasets were generated or analysed during the current study.
Ethical Approval
As this submission is a Letter to the Editor and does not involve humans and animals, no ethical approval was required for this publication.
Consent for publication
Consent for publication was given by all participants
Competing interests
The authors declare no competing interests.
Funding
This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.
Declaration of Competing Interest
☒ The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
{"title":"Letter to the editor: An investigation of microbial groundwater contamination seasonality and extreme weather event interruptions using “big data”, time-series analyses, and unsupervised machine learning","authors":"T. Triwiyanto","doi":"10.1016/j.envpol.2025.126080","DOIUrl":"https://doi.org/10.1016/j.envpol.2025.126080","url":null,"abstract":"<h2>Section snippets</h2><section><section><h2>Data Availability</h2>No datasets were generated or analysed during the current study.</section></section><section><section><h2>Ethical Approval</h2>As this submission is a Letter to the Editor and does not involve humans and animals, no ethical approval was required for this publication.</section></section><section><section><h2>Consent for publication</h2>Consent for publication was given by all participants</section></section><section><section><h2>Competing interests</h2>The authors declare no competing interests.</section></section><section><section><h2>Funding</h2>This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.</section></section><section><section><h2>Declaration of Competing Interest</h2>☒ The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.</section></section>","PeriodicalId":311,"journal":{"name":"Environmental Pollution","volume":"32 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143653962","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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}
Pub Date : 2025-03-18DOI: 10.1016/j.envpol.2025.126065
Gen Zhang , Xiaoqi Zhou , Yifeng Sun , Chong Han , Jiyun Xian , Changxu Mu , Wanyun Xu , Linlin Liang
As important components of volatile organic compounds (VOCs), oxygenated VOCs (OVOCs) play a crucial role in the photochemical formation of ozone (O3), especially in the polluted areas in the North China Plain (NCP). However, their seasonal characteristics and sources are not well understood. In this study, one-year measurements of 10 typical OVOCs were conducted through proton-transfer reaction time-of-flight mass spectrometry (PTR-ToF-MS) at an urban site (39.95° N, 116.32° E, 96 m a.s.l.) in Beijing. Aldehydes and alcohols were the most abundant types of OVOCs in the entire year, with mean concentrations of 16.3 ppbv and 15.9 ppbv, respectively, and mean proportions of 33.8 % and 32.4 % of the total. Formaldehyde and ethanol sustained the highest concentrations throughout the year, with mean annual concentrations of 13.5 ppbv and 10.8 ppbv, respectively. The results indicated that the concentrations of OVOCs were highest in the summer, along with the maximum O3-formation potentials and hydroxyl radical (•OH) reactivity values of 83.5 ppbv and 2.8 s−1, respectively. Results from the source apportionment of OVOCs based on multiple linear regression models indicated that secondary productions were the predominant source in summer. In particular, the secondary sources of aldehydes represented by CH2O and acetaldehyde accounted for 36.7 % and 51.4 % of the total, respectively. This study determined the concentrations and photochemical generation of OVOCs in different seasons, providing a basis for O3 pollution control in urban areas of Beijing.
{"title":"Oxygenated volatile organic compounds in Beijing: Characteristics, chemical reactivity, and source identification","authors":"Gen Zhang , Xiaoqi Zhou , Yifeng Sun , Chong Han , Jiyun Xian , Changxu Mu , Wanyun Xu , Linlin Liang","doi":"10.1016/j.envpol.2025.126065","DOIUrl":"10.1016/j.envpol.2025.126065","url":null,"abstract":"<div><div>As important components of volatile organic compounds (VOCs), oxygenated VOCs (OVOCs) play a crucial role in the photochemical formation of ozone (O<sub>3</sub>), especially in the polluted areas in the North China Plain (NCP). However, their seasonal characteristics and sources are not well understood. In this study, one-year measurements of 10 typical OVOCs were conducted through proton-transfer reaction time-of-flight mass spectrometry (PTR-ToF-MS) at an urban site (39.95° N, 116.32° E, 96 m a.s.l.) in Beijing. Aldehydes and alcohols were the most abundant types of OVOCs in the entire year, with mean concentrations of 16.3 ppbv and 15.9 ppbv, respectively, and mean proportions of 33.8 % and 32.4 % of the total. Formaldehyde and ethanol sustained the highest concentrations throughout the year, with mean annual concentrations of 13.5 ppbv and 10.8 ppbv, respectively. The results indicated that the concentrations of OVOCs were highest in the summer, along with the maximum O<sub>3</sub>-formation potentials and hydroxyl radical (•OH) reactivity values of 83.5 ppbv and 2.8 s<sup>−1</sup>, respectively. Results from the source apportionment of OVOCs based on multiple linear regression models indicated that secondary productions were the predominant source in summer. In particular, the secondary sources of aldehydes represented by CH<sub>2</sub>O and acetaldehyde accounted for 36.7 % and 51.4 % of the total, respectively. This study determined the concentrations and photochemical generation of OVOCs in different seasons, providing a basis for O<sub>3</sub> pollution control in urban areas of Beijing.</div></div>","PeriodicalId":311,"journal":{"name":"Environmental Pollution","volume":"373 ","pages":"Article 126065"},"PeriodicalIF":7.6,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143653546","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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}
Pub Date : 2025-03-18DOI: 10.1016/j.envpol.2025.126082
Maria Carla Queiroz Diniz Oliveira , Regina Maura de Miranda , Maria de Fátima Andrade , Prashant Kumar
Cities must be prepared to improve the quality of life, including exposure to air pollutants, for their residents as urban populations continue to grow. Green infrastructure and green areas have proven increasingly important in tackling this challenge. This study examined the relationship between urban green spaces and air pollution in the São Paulo Metropolitan Area. Using PM10 and PM2.5 as indicators of atmospheric pollutants and NDVI and NDBI to evaluate green areas and building density, statistical tools such as cluster analysis and Sen's Slope test were applied, complemented by visual analyses with temporal heat maps. The results indicated a general reduction in PM2.5 and PM10 concentrations from 2014 to 2023, with NDVI increasing until 2021 and then decreasing, possibly due to real estate speculation. Regions with higher NDVI showed 50 % lower PM concentrations compared with industrial and high-traffic areas. The Sen's Slope analysis outlined the influence of tree-planting public policies on reducing pollutant levels. These findings the ongoing importance of research on the interaction between green areas and urban air quality to inform decision-makers.
{"title":"Impact of urban green areas on air quality: An integrated analysis in the metropolitan area of São Paulo","authors":"Maria Carla Queiroz Diniz Oliveira , Regina Maura de Miranda , Maria de Fátima Andrade , Prashant Kumar","doi":"10.1016/j.envpol.2025.126082","DOIUrl":"10.1016/j.envpol.2025.126082","url":null,"abstract":"<div><div>Cities must be prepared to improve the quality of life, including exposure to air pollutants, for their residents as urban populations continue to grow. Green infrastructure and green areas have proven increasingly important in tackling this challenge. This study examined the relationship between urban green spaces and air pollution in the São Paulo Metropolitan Area. Using PM<sub>10</sub> and PM<sub>2.5</sub> as indicators of atmospheric pollutants and NDVI and NDBI to evaluate green areas and building density, statistical tools such as cluster analysis and Sen's Slope test were applied, complemented by visual analyses with temporal heat maps. The results indicated a general reduction in PM<sub>2.5</sub> and PM<sub>10</sub> concentrations from 2014 to 2023, with NDVI increasing until 2021 and then decreasing, possibly due to real estate speculation. Regions with higher NDVI showed 50 % lower PM concentrations compared with industrial and high-traffic areas. The Sen's Slope analysis outlined the influence of tree-planting public policies on reducing pollutant levels. These findings the ongoing importance of research on the interaction between green areas and urban air quality to inform decision-makers.</div></div>","PeriodicalId":311,"journal":{"name":"Environmental Pollution","volume":"372 ","pages":"Article 126082"},"PeriodicalIF":7.6,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143653547","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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}
Compared with the extensive research on the behaviors of uranium (U), the contribution rates of different influencing factors have been relatively less evaluated. In this study, the biogeochemical behaviors of U in the Yellow River Estuarine Wetland (YREW) were investigated through sequential extraction procedures. The contribution of different influencing factors to U biogeochemical behaviors were quantified by the method of multiple least-squares linear regression. The results indicate that uranium in sediments is predominantly in residual form (UF5, making up 71 % of the total U) which is inert during biogeochemical processes. The following order of the other four active U forms is: carbonate bounded form (UF2) > iron/manganese oxides bounded form (UF3) > organic matter or sulfide bounded form (UF4) > exchangeable form (UF1). Compared with the content of the Yellow River suspended particulate matters (SPMs), UF1 and UF3 exhibited releasing from the sediment, while UF2 and UF4 became enriched in YREW. The results of multiple least-squares linear regression indicate that the biogeochemical behaviors of U are mostly controlled by REDOX (74 %), followed by organic matter (12.9 %), pH (7.7 %), particle size (3.5 %), and salinity (1.9 %).
{"title":"Partitioning of various uranium forms and quantification of the influencing factors to their behaviors in estuarine sediments","authors":"Wenwen Zhang , Xihuang Zhong , Xueyan Jiang , Tong Zhang , Chunxia Meng","doi":"10.1016/j.envpol.2025.126087","DOIUrl":"10.1016/j.envpol.2025.126087","url":null,"abstract":"<div><div>Compared with the extensive research on the behaviors of uranium (U), the contribution rates of different influencing factors have been relatively less evaluated. In this study, the biogeochemical behaviors of U in the Yellow River Estuarine Wetland (YREW) were investigated through sequential extraction procedures. The contribution of different influencing factors to U biogeochemical behaviors were quantified by the method of multiple least-squares linear regression. The results indicate that uranium in sediments is predominantly in residual form (U<sub>F5</sub>, making up 71 % of the total U) which is inert during biogeochemical processes. The following order of the other four active U forms is: carbonate bounded form (U<sub>F2</sub>) > iron/manganese oxides bounded form (U<sub>F3</sub>) > organic matter or sulfide bounded form (U<sub>F4</sub>) > exchangeable form (U<sub>F1</sub>). Compared with the content of the Yellow River suspended particulate matters (SPMs), U<sub>F1</sub> and U<sub>F3</sub> exhibited releasing from the sediment, while U<sub>F2</sub> and U<sub>F4</sub> became enriched in YREW. The results of multiple least-squares linear regression indicate that the biogeochemical behaviors of U are mostly controlled by REDOX (74 %), followed by organic matter (12.9 %), pH (7.7 %), particle size (3.5 %), and salinity (1.9 %).</div></div>","PeriodicalId":311,"journal":{"name":"Environmental Pollution","volume":"372 ","pages":"Article 126087"},"PeriodicalIF":7.6,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143639981","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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}
Pub Date : 2025-03-18DOI: 10.1016/j.envpol.2025.126083
Quan Yuan, Jia-Wei Tang, Jie Chen, Yi-Wen Liao, Wen-Wen Zhang, Xin-Ru Wen, Xin Liu, Hui-Jin Chen, Liang Wang
The rapid and accurate identification of antibiotics in environmental samples is critical for addressing the growing concern of antibiotic pollution, particularly in water sources. Antibiotic contamination poses a significant risk to ecosystems and human health by contributing to the spread of antibiotic resistance. SERS, known for its high sensitivity and specificity, is a powerful tool for antibiotic identification. However, its broader application is constrained by the lack of a large-scale antibiotic spectral database crucial for environmental and clinical use. To address this need, we systematically collected 12,800 SERS spectra for 200 environmentally relevant antibiotics and developed an open-access, web-based database at http://sers.test.bniu.net/. We compared six machine learning algorithms with a CNN model, which achieved the highest accuracy at 98.94%, making it the preferred database model. For external validation, CNN demonstrated an accuracy of 82.8%, underscoring its reliability and practicality for real-world applications. The SERS database and CNN prediction model represent a novel resource for environmental monitoring, offering significant advantages in terms of accessibility, speed, and scalability. This study establishes the large-scale, public SERS spectral databases for antibiotics, facilitating the integration of SERS into environmental programs, with the potential to improve antibiotic detection, pollution management, and resistance mitigation.
{"title":"SERS-ATB: a comprehensive database server for antibiotic SERS spectral visualization and deep-learning identification","authors":"Quan Yuan, Jia-Wei Tang, Jie Chen, Yi-Wen Liao, Wen-Wen Zhang, Xin-Ru Wen, Xin Liu, Hui-Jin Chen, Liang Wang","doi":"10.1016/j.envpol.2025.126083","DOIUrl":"https://doi.org/10.1016/j.envpol.2025.126083","url":null,"abstract":"The rapid and accurate identification of antibiotics in environmental samples is critical for addressing the growing concern of antibiotic pollution, particularly in water sources. Antibiotic contamination poses a significant risk to ecosystems and human health by contributing to the spread of antibiotic resistance. SERS, known for its high sensitivity and specificity, is a powerful tool for antibiotic identification. However, its broader application is constrained by the lack of a large-scale antibiotic spectral database crucial for environmental and clinical use. To address this need, we systematically collected 12,800 SERS spectra for 200 environmentally relevant antibiotics and developed an open-access, web-based database at <span><span>http://sers.test.bniu.net/</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>. We compared six machine learning algorithms with a CNN model, which achieved the highest accuracy at 98.94%, making it the preferred database model. For external validation, CNN demonstrated an accuracy of 82.8%, underscoring its reliability and practicality for real-world applications. The SERS database and CNN prediction model represent a novel resource for environmental monitoring, offering significant advantages in terms of accessibility, speed, and scalability. This study establishes the large-scale, public SERS spectral databases for antibiotics, facilitating the integration of SERS into environmental programs, with the potential to improve antibiotic detection, pollution management, and resistance mitigation.","PeriodicalId":311,"journal":{"name":"Environmental Pollution","volume":"19 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143640352","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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}
The spatial and temporal variability of Hg, As, and Sb contents were assessed in stream sediments across the Fiora River catchment (Italy), which drains the dismissed Monte Amiata Mining District, the 3rd largest Hg producer worldwide. Mercury, As, and Sb concentrations of samples collected in 2022 along Fiora River tributaries were compared to data collected in 1985 after mine decommissioning. In 2022, the Fiora River showed downstream magnification of Hg pollution, close to the outflow into the Mediterranean Sea. At several sampling sites, concentrations are above the Italian safety limit of 1 mg/kg (up to 3300 mg/kg). Arsenic and Sb concentrations are high in the mid-catchment tributaries (up to 84 and 79 mg/kg, respectively). The river contributes to the pollutant budget of the Mediterranean Sea, and showed low resilience to Hg pollution in the period 1985–2022, whereas for As and Sb some attenuation occurred. The mass loads of Hg, As, and Sb discharged into the Mediterranean Sea from the Fiora River are at least 0.9, 2.2, and 1.8 t/y respectively. The estimated potential sediment-bound Hg flux from the whole Monte Amiata district to the Mediterranean Sea (1.2–6.6 t/y) is in the same range of that calculated for the Idrija district, highlighting the pivotal role of the Mt. Amiata district on the Mediterranean Sea pollution.
{"title":"Toxic trace elements transport in stream sediments from the world-class Monte Amiata Hg mining district: Potential impact to the Mediterranean Sea","authors":"Alessia Nannoni , Guia Morelli , Pierfranco Lattanzi , Cesare Fagotti , Rossella Friani , Silvia Fornasaro , Francesco Ciani , Rosarosa Manca , Alessio Monnanni , Valentina Rimondi , Pilario Costagliola","doi":"10.1016/j.envpol.2025.126088","DOIUrl":"10.1016/j.envpol.2025.126088","url":null,"abstract":"<div><div>The spatial and temporal variability of Hg, As, and Sb contents were assessed in stream sediments across the Fiora River catchment (Italy), which drains the dismissed Monte Amiata Mining District, the 3<sup>rd</sup> largest Hg producer worldwide. Mercury, As, and Sb concentrations of samples collected in 2022 along Fiora River tributaries were compared to data collected in 1985 after mine decommissioning. In 2022, the Fiora River showed downstream magnification of Hg pollution, close to the outflow into the Mediterranean Sea. At several sampling sites, concentrations are above the Italian safety limit of 1 mg/kg (up to 3300 mg/kg). Arsenic and Sb concentrations are high in the mid-catchment tributaries (up to 84 and 79 mg/kg, respectively). The river contributes to the pollutant budget of the Mediterranean Sea, and showed low resilience to Hg pollution in the period 1985–2022, whereas for As and Sb some attenuation occurred. The mass loads of Hg, As, and Sb discharged into the Mediterranean Sea from the Fiora River are at least 0.9, 2.2, and 1.8 t/y respectively. The estimated potential sediment-bound Hg flux from the whole Monte Amiata district to the Mediterranean Sea (1.2–6.6 t/y) is in the same range of that calculated for the Idrija district, highlighting the pivotal role of the Mt. Amiata district on the Mediterranean Sea pollution.</div></div>","PeriodicalId":311,"journal":{"name":"Environmental Pollution","volume":"372 ","pages":"Article 126088"},"PeriodicalIF":7.6,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143640351","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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}
Pub Date : 2025-03-18DOI: 10.1016/j.envpol.2025.126093
Nan Zhao, Xiaozhen Zhang, Yahui Li, Haoyu Zhang, En Yang, Lei Ding, Yi Liu
In utero exposure to per- and polyfluoroalkyl substances (PFAS), which are recognized developmental toxicants, potentially leads to decreased anthropometric measures in infants at birth. We analyzed 16 PFAS in 350 cord serum samples from Jinan, China, using ultra-high-performance liquid chromatography integrated with Orbitrap mass spectrometry. Birth length, birth weight, and head circumference were extracted from medical records and converted into z-scores (BL-z, BW-z and HC-z, respectively). Multivariable linear regression (MLR) models were employed to investigate the associations between individual PFAS and these birth anthropometric z-scores. To assess the cumulative effects of PFAS, quantile g-computation (QGC) and Bayesian kernel machine regression (BKMR) models were employed. Additionally, stratified analyses were performed to derive sex-specific estimates of the associations.MLR analysis revealed significant associations between specific PFAS and reduced birth anthropometric measures varying by infant sex. For example, log2-transformed concentration of cord serum perfluorooctanoic acid (PFOA) was associated with reduced BL-z (β=-0.12 (-0.18, -0.06), p<0.001) and BW-z (β=-0.20 (-0.31, -0.10), p<0.001) in all infants. Perfluoroheptanesulfonic acid (PFHpS) was inversely associated with BL-z (β=-0.07 (-0.13, -0.02), p=0.03) and HC-z (β=-0.06 (-0.11, -0.02), p=0.01) exclusively in males. BKMR and QGC models suggested general negative dose-response pattern between exposure to PFAS mixtures and BL-z, BW-z, and HC-z in males. Conversely, these associations were not evident in females. The key PFAS identified as contributors to the joint effects, along with the directions of their estimated impacts as determined by the mixture methods, showed marginal consistency with the results obtained from the MLR models. Our study underscored that in utero exposure to certain PFAS was associated with reduced anthropometric measures at birth. Male infants were more susceptible to PFAS exposure, particularly to combined PFAS mixture effects.
{"title":"Associations between in utero exposure of per- and polyfluoroalkyl substances (PFAS) mixture and anthropometry measures at birth","authors":"Nan Zhao, Xiaozhen Zhang, Yahui Li, Haoyu Zhang, En Yang, Lei Ding, Yi Liu","doi":"10.1016/j.envpol.2025.126093","DOIUrl":"https://doi.org/10.1016/j.envpol.2025.126093","url":null,"abstract":"In utero exposure to per- and polyfluoroalkyl substances (PFAS), which are recognized developmental toxicants, potentially leads to decreased anthropometric measures in infants at birth. We analyzed 16 PFAS in 350 cord serum samples from Jinan, China, using ultra-high-performance liquid chromatography integrated with Orbitrap mass spectrometry. Birth length, birth weight, and head circumference were extracted from medical records and converted into z-scores (BL-z, BW-z and HC-z, respectively). Multivariable linear regression (MLR) models were employed to investigate the associations between individual PFAS and these birth anthropometric z-scores. To assess the cumulative effects of PFAS, quantile g-computation (QGC) and Bayesian kernel machine regression (BKMR) models were employed. Additionally, stratified analyses were performed to derive sex-specific estimates of the associations.MLR analysis revealed significant associations between specific PFAS and reduced birth anthropometric measures varying by infant sex. For example, log2-transformed concentration of cord serum perfluorooctanoic acid (PFOA) was associated with reduced BL-z (β=-0.12 (-0.18, -0.06), p<0.001) and BW-z (β=-0.20 (-0.31, -0.10), p<0.001) in all infants. Perfluoroheptanesulfonic acid (PFHpS) was inversely associated with BL-z (β=-0.07 (-0.13, -0.02), p=0.03) and HC-z (β=-0.06 (-0.11, -0.02), p=0.01) exclusively in males. BKMR and QGC models suggested general negative dose-response pattern between exposure to PFAS mixtures and BL-z, BW-z, and HC-z in males. Conversely, these associations were not evident in females. The key PFAS identified as contributors to the joint effects, along with the directions of their estimated impacts as determined by the mixture methods, showed marginal consistency with the results obtained from the MLR models. Our study underscored that in utero exposure to certain PFAS was associated with reduced anthropometric measures at birth. Male infants were more susceptible to PFAS exposure, particularly to combined PFAS mixture effects.","PeriodicalId":311,"journal":{"name":"Environmental Pollution","volume":"92 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143653958","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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}
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