Pub Date : 2026-02-07DOI: 10.1016/j.envpol.2026.127789
Ran Zhu, Yuchen Li, Xiaofan Yang, Xiaozhong Gao, Xiang Cheng
{"title":"Development of HECAM Passive Samplers for Discovering the Occurrence, Sources, and Transport of Tire Additives and Their Transformation Products in Surface Waters","authors":"Ran Zhu, Yuchen Li, Xiaofan Yang, Xiaozhong Gao, Xiang Cheng","doi":"10.1016/j.envpol.2026.127789","DOIUrl":"https://doi.org/10.1016/j.envpol.2026.127789","url":null,"abstract":"","PeriodicalId":311,"journal":{"name":"Environmental Pollution","volume":"18 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2026-02-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146138704","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 : 2026-02-06DOI: 10.1016/j.envpol.2026.127777
Yang Yuan, Kai Wang, Yongqiang Liu, Yaqi Wang, Yunquan Zhang
Nexus between PM<sub>2.5</sub> constituents and obesity remain unclear, particular in densely populated and highly polluted regions. This study aims to assess the obese risk related to long-term exposure to PM<sub>2.5</sub> components among the Chinese elderly. We designed two nationwide dynamic cohort followed up from 2011 to 2015, through combining respondents from 28 provinces and estimates of PM<sub>2.5</sub> constituents predicted by well-validated spatiotemporal models. Based on data of physical examination measured by well-trained interviewers using standard devices, we adopted body mass index and waist circumference to define systemic and abdominal obesity, respectively. Cox proportional hazard models with time-varying exposures and a qg-computation approach were employed to evaluate individual and joint associations of obesity with long-term exposure to PM<sub>2.5</sub> constituents. The prevalences of systemic and abdominal obesity were 5.7% and 26.0% during 43814.6 and 27052.9 person-years follow-up, respectively. In the single-constituent analysis, the highest risk of systemic obesity derived from multivariable-adjusted model was 1.62 (95%: 1.40–1.87) linked with a 10.2 μg/m<sup>3</sup> increase of <span><span style=""></span><span data-mathml='<math xmlns="http://www.w3.org/1998/Math/MathML" />' role="presentation" style="font-size: 90%; display: inline-block; position: relative;" tabindex="0"><svg aria-hidden="true" focusable="false" height="0.24ex" role="img" style="vertical-align: -0.12ex;" viewbox="0 -51.7 0 103.4" width="0" xmlns:xlink="http://www.w3.org/1999/xlink"><g fill="currentColor" stroke="currentColor" stroke-width="0" transform="matrix(1 0 0 -1 0 0)"></g></svg><span role="presentation"><math xmlns="http://www.w3.org/1998/Math/MathML"></math></span></span><script type="math/mml"><math></math></script></span>, while the top-risk component of abdominal obesity was <span><span style=""></span><span data-mathml='<math xmlns="http://www.w3.org/1998/Math/MathML" />' role="presentation" style="font-size: 90%; display: inline-block; position: relative;" tabindex="0"><svg aria-hidden="true" focusable="false" height="0.24ex" role="img" style="vertical-align: -0.12ex;" viewbox="0 -51.7 0 103.4" width="0" xmlns:xlink="http://www.w3.org/1999/xlink"><g fill="currentColor" stroke="currentColor" stroke-width="0" transform="matrix(1 0 0 -1 0 0)"></g></svg><span role="presentation"><math xmlns="http://www.w3.org/1998/Math/MathML"></math></span></span><script type="math/mml"><math></math></script></span>, with a hazard ratio of 1.30 (95% CI: 1.20–1.41) for per 6.2 μg/m<sup>3</sup> rise. For joint exposure, a quartile increase in the five-component mixture was associated with a 29% (95% CI: 19–40%) and 17% (95% CI: 12–23%) higher risk of systemic and abdominal obesity, respectively. This study offered robust associations between long-term exposure to PM<sub>2.5</sub> constituents and increased risks of both obesity outcomes, sug
{"title":"Increased risks of systemic and abdominal obesity associated with long-term exposure to PM2.5 constituents","authors":"Yang Yuan, Kai Wang, Yongqiang Liu, Yaqi Wang, Yunquan Zhang","doi":"10.1016/j.envpol.2026.127777","DOIUrl":"https://doi.org/10.1016/j.envpol.2026.127777","url":null,"abstract":"Nexus between PM<sub>2.5</sub> constituents and obesity remain unclear, particular in densely populated and highly polluted regions. This study aims to assess the obese risk related to long-term exposure to PM<sub>2.5</sub> components among the Chinese elderly. We designed two nationwide dynamic cohort followed up from 2011 to 2015, through combining respondents from 28 provinces and estimates of PM<sub>2.5</sub> constituents predicted by well-validated spatiotemporal models. Based on data of physical examination measured by well-trained interviewers using standard devices, we adopted body mass index and waist circumference to define systemic and abdominal obesity, respectively. Cox proportional hazard models with time-varying exposures and a qg-computation approach were employed to evaluate individual and joint associations of obesity with long-term exposure to PM<sub>2.5</sub> constituents. The prevalences of systemic and abdominal obesity were 5.7% and 26.0% during 43814.6 and 27052.9 person-years follow-up, respectively. In the single-constituent analysis, the highest risk of systemic obesity derived from multivariable-adjusted model was 1.62 (95%: 1.40–1.87) linked with a 10.2 μg/m<sup>3</sup> increase of <span><span style=\"\"></span><span data-mathml='<math xmlns=\"http://www.w3.org/1998/Math/MathML\" />' role=\"presentation\" style=\"font-size: 90%; display: inline-block; position: relative;\" tabindex=\"0\"><svg aria-hidden=\"true\" focusable=\"false\" height=\"0.24ex\" role=\"img\" style=\"vertical-align: -0.12ex;\" viewbox=\"0 -51.7 0 103.4\" width=\"0\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"><g fill=\"currentColor\" stroke=\"currentColor\" stroke-width=\"0\" transform=\"matrix(1 0 0 -1 0 0)\"></g></svg><span role=\"presentation\"><math xmlns=\"http://www.w3.org/1998/Math/MathML\"></math></span></span><script type=\"math/mml\"><math></math></script></span>, while the top-risk component of abdominal obesity was <span><span style=\"\"></span><span data-mathml='<math xmlns=\"http://www.w3.org/1998/Math/MathML\" />' role=\"presentation\" style=\"font-size: 90%; display: inline-block; position: relative;\" tabindex=\"0\"><svg aria-hidden=\"true\" focusable=\"false\" height=\"0.24ex\" role=\"img\" style=\"vertical-align: -0.12ex;\" viewbox=\"0 -51.7 0 103.4\" width=\"0\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"><g fill=\"currentColor\" stroke=\"currentColor\" stroke-width=\"0\" transform=\"matrix(1 0 0 -1 0 0)\"></g></svg><span role=\"presentation\"><math xmlns=\"http://www.w3.org/1998/Math/MathML\"></math></span></span><script type=\"math/mml\"><math></math></script></span>, with a hazard ratio of 1.30 (95% CI: 1.20–1.41) for per 6.2 μg/m<sup>3</sup> rise. For joint exposure, a quartile increase in the five-component mixture was associated with a 29% (95% CI: 19–40%) and 17% (95% CI: 12–23%) higher risk of systemic and abdominal obesity, respectively. This study offered robust associations between long-term exposure to PM<sub>2.5</sub> constituents and increased risks of both obesity outcomes, sug","PeriodicalId":311,"journal":{"name":"Environmental Pollution","volume":"2 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2026-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146129534","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}
Despite the growing concern over per- and polyfluoroalkyl substances (PFAS) exposure in companion animals, dietary intake through commercial pet food remains poorly characterized. In this study, we conducted a comprehensive analysis of 100 commercially available pet food products for dogs and cats in Japan, encompassing both dry and wet types, to quantify 34 target PFAS compounds. PFAS were frequently detected, with concentrations varying by food type, ingredients, and country of origin. Fish-based products contained elevated levels of perfluorooctanesulfonic acid (PFOS), perfluoroundecanoic acid (PFUnDA), and perfluorotridecanoic acid (PFTrDA), and regional patterns suggested the influence of Asian-specific PFAS sources such as F-53B. Hazard quotient (HQ) assessments based on EFSA tolerable weekly intakes indicated that average HQs exceeded 1 for both dogs and cats in several products, signaling potential health risks. However, due to the lack of species-specific toxicokinetic information for dogs and cats, the EFSA-based risk characterization presented here should be interpreted as a preliminary assessment. Although dry food had higher PFAS concentrations when converted to feeding amounts, estimated exposure was higher for wet food due to higher consumption. These findings provide the first evidence of ingredient-driven and country-of-origin-dependent PFAS contamination in pet food. Fish used as ingredients are a significant source of exposure to PFAS. They also highlight the urgent need for regulatory oversight and toxicological evaluations specific to companion animals. These animals serve as vulnerable populations and as sentinels of human co-exposure in domestic environments.
{"title":"Widespread PFAS Contamination in Pet Food: Dietary Sources and Health Risks to Companion Animals","authors":"Kei Nomiyama, Aika Sato, Rumi Tanoue, Kohei Saeki, Yoshinori Ikenaka, Hazuki Mizukawa","doi":"10.1016/j.envpol.2026.127779","DOIUrl":"https://doi.org/10.1016/j.envpol.2026.127779","url":null,"abstract":"Despite the growing concern over per- and polyfluoroalkyl substances (PFAS) exposure in companion animals, dietary intake through commercial pet food remains poorly characterized. In this study, we conducted a comprehensive analysis of 100 commercially available pet food products for dogs and cats in Japan, encompassing both dry and wet types, to quantify 34 target PFAS compounds. PFAS were frequently detected, with concentrations varying by food type, ingredients, and country of origin. Fish-based products contained elevated levels of perfluorooctanesulfonic acid (PFOS), perfluoroundecanoic acid (PFUnDA), and perfluorotridecanoic acid (PFTrDA), and regional patterns suggested the influence of Asian-specific PFAS sources such as F-53B. Hazard quotient (HQ) assessments based on EFSA tolerable weekly intakes indicated that average HQs exceeded 1 for both dogs and cats in several products, signaling potential health risks. However, due to the lack of species-specific toxicokinetic information for dogs and cats, the EFSA-based risk characterization presented here should be interpreted as a preliminary assessment. Although dry food had higher PFAS concentrations when converted to feeding amounts, estimated exposure was higher for wet food due to higher consumption. These findings provide the first evidence of ingredient-driven and country-of-origin-dependent PFAS contamination in pet food. Fish used as ingredients are a significant source of exposure to PFAS. They also highlight the urgent need for regulatory oversight and toxicological evaluations specific to companion animals. These animals serve as vulnerable populations and as sentinels of human co-exposure in domestic environments.","PeriodicalId":311,"journal":{"name":"Environmental Pollution","volume":"41 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2026-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146129679","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 : 2026-02-05DOI: 10.1016/j.envpol.2026.127736
Xuelian Yuan, Li Dai, Ke Wang, Qi Li, Zhen Liu, Wenyan Li, Wenli Xu, Zhiyu Chen, Yuyang Gao, Jun Zhu, Hanmin Liu, Xiaohong Li
Numerous research works have established connections between maternal exposure to specific air pollutants and ventricular septal defects (VSD), there are still gaps in understanding the complexities of combined exposures in real-world settings. This study seeks to investigate the correlation between simultaneous exposure to five air pollutants throughout pregnancy and the likelihood of isolated VSD occurrence. It aims to address the gap between research focusing on individual pollutants and the complexities of real-world exposure scenarios. Utilizing data from China's National Population-Based Birth Defects Surveillance Network, we analyzed 850 isolated VSD cases against 1,097,056 unaffected births. Using a random forest land use regression model, we estimated daily pollutant concentrations (SO2, NO2, CO, O3, PM2.5) at geocoded maternal residences from 2014 to 2017. Based on these daily estimates, trimester-specific exposure concentrations were derived using dates of pregnancy onset and gestational weeks. Additionally, we devised an "air pollution score" to evaluate their cumulative exposure. The risk of isolated VSDs rose significantly with every 10-μg/m3 increase in air pollution score during pregnancy, especially the first trimester (OR 1.023, 95% CI 1.011-1.035), and the third trimester (OR 1.015, 95% CI 1.003-1.026). A linear relationship was observed between levels of air pollution scores during the entire pregnancy and the risk of isolated VSDs. The heightened risk linked to air pollution score during the first trimester surpassed that of the second and third trimesters. Besides, the results highlighted a pronounced risk among mothers in rural, low-income areas and being pregnant in cold season. By providing a more comprehensive assessment of the potential risks that pollutants pose to maternal and infant health, this study may offer important insights for public health policy and inform the development of new clinical tools for risk assessment and early screening.
许多研究工作已经建立了母亲暴露于特定空气污染物和室间隔缺陷(VSD)之间的联系,但在了解现实环境中联合暴露的复杂性方面仍然存在差距。本研究旨在探讨在怀孕期间同时暴露于五种空气污染物与孤立性室间隔发育的可能性之间的关系。它旨在解决关注单个污染物的研究与现实世界暴露情景的复杂性之间的差距。利用中国全国人口出生缺陷监测网的数据,我们分析了850例孤立的室性室间隔缺损病例和1,097,056例未受影响的新生儿。利用随机林地利用回归模型,我们估算了2014年至2017年地理编码的孕产妇居住地的日污染物浓度(SO2、NO2、CO、O3和PM2.5)。基于这些每日估计,根据妊娠开始日期和妊娠周得出妊娠期特异性暴露浓度。此外,我们设计了一个“空气污染评分”来评估他们的累积暴露。妊娠期空气污染评分每增加10 μg/m3,尤其是妊娠前期(OR 1.023, 95% CI 1.011 ~ 1.035)和妊娠晚期(OR 1.015, 95% CI 1.003 ~ 1.026),分离性VSDs的发生风险显著增加。在整个怀孕期间的空气污染评分水平与孤立性室性心脏疾病的风险之间观察到线性关系。怀孕前三个月与空气污染得分相关的风险增加程度超过了妊娠中期和晚期。此外,研究结果还强调了农村、低收入地区的母亲在寒冷季节怀孕的明显风险。通过对污染物对母婴健康构成的潜在风险进行更全面的评估,本研究可能为公共卫生政策提供重要见解,并为风险评估和早期筛查的新临床工具的开发提供信息。
{"title":"Insights from Over a Million Births on Maternal Exposure to Multiple Pollutants and the Risk of Isolated Ventricular Septal Defects","authors":"Xuelian Yuan, Li Dai, Ke Wang, Qi Li, Zhen Liu, Wenyan Li, Wenli Xu, Zhiyu Chen, Yuyang Gao, Jun Zhu, Hanmin Liu, Xiaohong Li","doi":"10.1016/j.envpol.2026.127736","DOIUrl":"https://doi.org/10.1016/j.envpol.2026.127736","url":null,"abstract":"Numerous research works have established connections between maternal exposure to specific air pollutants and ventricular septal defects (VSD), there are still gaps in understanding the complexities of combined exposures in real-world settings. This study seeks to investigate the correlation between simultaneous exposure to five air pollutants throughout pregnancy and the likelihood of isolated VSD occurrence. It aims to address the gap between research focusing on individual pollutants and the complexities of real-world exposure scenarios. Utilizing data from China's National Population-Based Birth Defects Surveillance Network, we analyzed 850 isolated VSD cases against 1,097,056 unaffected births. Using a random forest land use regression model, we estimated daily pollutant concentrations (SO<sub>2</sub>, NO<sub>2</sub>, CO, O<sub>3</sub>, PM<sub>2.5</sub>) at geocoded maternal residences from 2014 to 2017. Based on these daily estimates, trimester-specific exposure concentrations were derived using dates of pregnancy onset and gestational weeks. Additionally, we devised an \"air pollution score\" to evaluate their cumulative exposure. The risk of isolated VSDs rose significantly with every 10-μg/m<sup>3</sup> increase in air pollution score during pregnancy, especially the first trimester (OR 1.023, 95% CI 1.011-1.035), and the third trimester (OR 1.015, 95% CI 1.003-1.026). A linear relationship was observed between levels of air pollution scores during the entire pregnancy and the risk of isolated VSDs. The heightened risk linked to air pollution score during the first trimester surpassed that of the second and third trimesters. Besides, the results highlighted a pronounced risk among mothers in rural, low-income areas and being pregnant in cold season. By providing a more comprehensive assessment of the potential risks that pollutants pose to maternal and infant health, this study may offer important insights for public health policy and inform the development of new clinical tools for risk assessment and early screening.","PeriodicalId":311,"journal":{"name":"Environmental Pollution","volume":"126 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2026-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146129682","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 : 2026-02-05DOI: 10.1016/j.envpol.2026.127774
Hagar Vardi-Naim, Gul Janovsky, Noga Kronfeld-Schor, Yariv Wine
Artificial light at night (ALAN) is a rapidly expanding form of environmental pollution that disrupts natural light–dark cycles and alters behavioral and physiological rhythms across species. Because immune function is tightly linked to environmental cues, studying ALAN within an ecoimmunological framework is essential for understanding its real-world impacts on wildlife fitness. In natural settings, immune rhythms are shaped by multiple, interacting environmental pressures, and evaluating ALAN against this broader ecological backdrop is critical for interpreting its physiological consequences.We investigated how low-intensity ALAN affects immune and endocrine rhythmicity, antibody responses, and survival in two wild rodent species with opposing activity patterns, the nocturnal <em>Acomys dimidiatus</em> and the diurnal <em>Acomys russatus</em>, maintained in semi-natural outdoor enclosures. Under natural light-dark conditions, both species exhibited daily oscillations in circulating lymphocyte frequencies, and in <em>A. dimidiatus</em>, fecal cortisol also showed a clear daily rhythm. These rhythms were disrupted or dampened under ALAN. Moreover, antibody titers were significantly higher when immunization occurred during the species-specific rest phase, but ALAN exposure disrupted these rhythms, eliminating time-of-day variation in antibody responses. Overall, ALAN increased the mortality risk by 2.35-fold.Although controlled laboratory experiments have been essential for advancing immunology, they offer limited insight into how environmental disturbances like light pollution affect wildlife under realistic conditions. By studying wild rodents in semi-natural habitats, we reveal that ALAN exposure alters immune rhythms, endocrine patterns, and survival in ways that emerge only when animals experience natural ecological variation. These results highlight that immune baselines in the wild are products of complex environmental interactions and that ALAN can disrupt these integrated physiological systems. Together, these findings underscore the need for ecoimmunological approaches to assess how expanding light pollution threatens wildlife health and resilience.Significance StatementArtificial light at night (ALAN) is a growing anthropogenic disturbance with wide-ranging ecological and physiological impacts. While its disruptive effect on circadian rhythms is well documented, its effects on immune function remain underexplored. Our findings show that ALAN alters immune rhythmicity and weakens time-dependent antibody responses in wild rodents under semi-natural conditions, potentially increasing susceptibility to infection. Studying the effects of light pollution on wild species under natural conditions is essential not only for understanding its impact on ecosystem health, but also for assessing how altered immune function may influence the emergence and spread of zoonotic diseases. These insights underscore the need to investigate immunity in ecolog
{"title":"Artificial Light at Night Disrupts Immune Rhythms in Wild Rodents under Semi-Natural Conditions","authors":"Hagar Vardi-Naim, Gul Janovsky, Noga Kronfeld-Schor, Yariv Wine","doi":"10.1016/j.envpol.2026.127774","DOIUrl":"https://doi.org/10.1016/j.envpol.2026.127774","url":null,"abstract":"Artificial light at night (ALAN) is a rapidly expanding form of environmental pollution that disrupts natural light–dark cycles and alters behavioral and physiological rhythms across species. Because immune function is tightly linked to environmental cues, studying ALAN within an ecoimmunological framework is essential for understanding its real-world impacts on wildlife fitness. In natural settings, immune rhythms are shaped by multiple, interacting environmental pressures, and evaluating ALAN against this broader ecological backdrop is critical for interpreting its physiological consequences.We investigated how low-intensity ALAN affects immune and endocrine rhythmicity, antibody responses, and survival in two wild rodent species with opposing activity patterns, the nocturnal <em>Acomys dimidiatus</em> and the diurnal <em>Acomys russatus</em>, maintained in semi-natural outdoor enclosures. Under natural light-dark conditions, both species exhibited daily oscillations in circulating lymphocyte frequencies, and in <em>A. dimidiatus</em>, fecal cortisol also showed a clear daily rhythm. These rhythms were disrupted or dampened under ALAN. Moreover, antibody titers were significantly higher when immunization occurred during the species-specific rest phase, but ALAN exposure disrupted these rhythms, eliminating time-of-day variation in antibody responses. Overall, ALAN increased the mortality risk by 2.35-fold.Although controlled laboratory experiments have been essential for advancing immunology, they offer limited insight into how environmental disturbances like light pollution affect wildlife under realistic conditions. By studying wild rodents in semi-natural habitats, we reveal that ALAN exposure alters immune rhythms, endocrine patterns, and survival in ways that emerge only when animals experience natural ecological variation. These results highlight that immune baselines in the wild are products of complex environmental interactions and that ALAN can disrupt these integrated physiological systems. Together, these findings underscore the need for ecoimmunological approaches to assess how expanding light pollution threatens wildlife health and resilience.Significance StatementArtificial light at night (ALAN) is a growing anthropogenic disturbance with wide-ranging ecological and physiological impacts. While its disruptive effect on circadian rhythms is well documented, its effects on immune function remain underexplored. Our findings show that ALAN alters immune rhythmicity and weakens time-dependent antibody responses in wild rodents under semi-natural conditions, potentially increasing susceptibility to infection. Studying the effects of light pollution on wild species under natural conditions is essential not only for understanding its impact on ecosystem health, but also for assessing how altered immune function may influence the emergence and spread of zoonotic diseases. These insights underscore the need to investigate immunity in ecolog","PeriodicalId":311,"journal":{"name":"Environmental Pollution","volume":"134 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2026-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146122226","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}
Organophosphate esters (OPEs) are widely used in paint industry. However, their contamination and risk in paint industry-related areas remain insufficiently characterized. In this study, 33 OPEs, including traditional and novel OPEs, and their diester and hydroxylated transformation products were quantified in 48 surface soil samples collected around paint-related factories in eastern China. The total OPE concentrations ranged from 12.7 to 419 ng/g, and were dominated by chlorinated and novel OPEs. Spatial analysis using Kriging interpolation revealed a distinct point-source distribution pattern, with elevated concentrations in soils adjacent to paint factories reaching 334 to 419 ng/g. Additionally, four machine learning (ML) models were developed to predict OPE distribution in study region, using spatial coordinates, soil properties, and molecular descriptors as predictors. Among them, the tree-based model of gradient boosting regression tree achieved the highest predictive accuracy (testing set, R2=0.61, MAE=0.43, MSE=0.33), and outperformed Kriging interpolation based on external validation. This demonstrates the feasibility of ML-based approaches for predicting OPE distribution patterns. Furthermore, risk assessment results indicated that novel OPEs tris(2,4-di-tert-butylphenyl) phosphate (AO168=O) and tris(4-nonylphenyl) phosphate (TNPP) posed notably high risks, with risk quotient values of 3.60-1200 and ToxPi prioritization scores of 0.71-0.80. Overall, this study provides new insights and methodological references for understanding the contamination and risks of emerging pollutants associated with the paint industry.
{"title":"Contamination of Organophosphate Esters in Soil Surrounding Paint Factories: Machine Learning-based Distribution Prediction and Risk Prioritization Assessment","authors":"Yu Wang, Siyuan Li, Ergang Yuan, Zelin Fang, Zixiao Zhao, Yimeng Si, Meng Gao, Hongzhi Zhao, Hongwen Sun","doi":"10.1016/j.envpol.2026.127775","DOIUrl":"https://doi.org/10.1016/j.envpol.2026.127775","url":null,"abstract":"Organophosphate esters (OPEs) are widely used in paint industry. However, their contamination and risk in paint industry-related areas remain insufficiently characterized. In this study, 33 OPEs, including traditional and novel OPEs, and their diester and hydroxylated transformation products were quantified in 48 surface soil samples collected around paint-related factories in eastern China. The total OPE concentrations ranged from 12.7 to 419 ng/g, and were dominated by chlorinated and novel OPEs. Spatial analysis using Kriging interpolation revealed a distinct point-source distribution pattern, with elevated concentrations in soils adjacent to paint factories reaching 334 to 419 ng/g. Additionally, four machine learning (ML) models were developed to predict OPE distribution in study region, using spatial coordinates, soil properties, and molecular descriptors as predictors. Among them, the tree-based model of gradient boosting regression tree achieved the highest predictive accuracy (testing set, R<sup>2</sup>=0.61, MAE=0.43, MSE=0.33), and outperformed Kriging interpolation based on external validation. This demonstrates the feasibility of ML-based approaches for predicting OPE distribution patterns. Furthermore, risk assessment results indicated that novel OPEs tris(2,4-di-<em>tert</em>-butylphenyl) phosphate (AO168=O) and tris(4-nonylphenyl) phosphate (TNPP) posed notably high risks, with risk quotient values of 3.60-1200 and ToxPi prioritization scores of 0.71-0.80. Overall, this study provides new insights and methodological references for understanding the contamination and risks of emerging pollutants associated with the paint industry.","PeriodicalId":311,"journal":{"name":"Environmental Pollution","volume":"151 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2026-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146129681","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 : 2026-02-05DOI: 10.1016/j.envpol.2026.127767
Junqi Li, Yulong Ma, Yanli Li, Cuiping Jia, Ying Xiong, Bo Zhang, Stuart Harrad, Ke Du
Although extensive studies have been performed to characterize Per- and polyfluoroalkyl substances (PFAS) in the environment, PFAS in PM2.5 remains underexplored. This study presents a comprehensive investigation of PFAS in indoor and outdoor PM2.5 and dust samples to evaluate their quantities and distribution. Twenty-nine ionic PFAS species were quantified in samples collected from ten different environments such as daycare center, vehicle, airport, and fire training facility. PFAS were found to be ubiquitous, and present in both PM2.5 (3.34–22.2 pg/m3) and dust (1.27–9840 ng/g). Perfluoroalkyl carboxylic acids (PFCAs) dominated the PFAS profile in both indoor and outdoor PM2.5, accounting for 94.1 ± 11.1% of total PFAS, which was significantly higher than that in dust (61.5 ± 32.7%) (p < 0.01). In contrast, the proportion of perfluoroalkane sulfonic acids (PFSAs) in dust (21.7 ± 18.1%) was significantly higher than that in PM2.5 (4.54 ± 10.5%) (p < 0.01). This suggests that PFCAs are more likely than PFSAs to attach to PM2.5, and are capable of long-range atmospheric transport (LRT). Among the 11 PFCAs species, perfluorobutanoic acid (PFBA) and perfluorohexanoic acid (PFHxA), two short chain PFAS, were of the highest concentrations, particularly in samples collected during the wildfire events. This highlights the significance of short chain PFAS in LRT. For indoor PFAS, a strong relationship (r = 0.611–0.853, p < 0.01) was observed between long-chain PFCAs concentrations in PM2.5 and in dust. These findings provide new insights into the potential processes of indoor PFCAs emissions and distribution and suggest possible exposure pathways of airborne PFAS in urban environments.
{"title":"Ionic PFAS in PM2.5 and Dust: Insights on Indoor-Outdoor Profiles and Distribution","authors":"Junqi Li, Yulong Ma, Yanli Li, Cuiping Jia, Ying Xiong, Bo Zhang, Stuart Harrad, Ke Du","doi":"10.1016/j.envpol.2026.127767","DOIUrl":"https://doi.org/10.1016/j.envpol.2026.127767","url":null,"abstract":"Although extensive studies have been performed to characterize Per- and polyfluoroalkyl substances (PFAS) in the environment, PFAS in PM<sub>2.5</sub> remains underexplored. This study presents a comprehensive investigation of PFAS in indoor and outdoor PM<sub>2.5</sub> and dust samples to evaluate their quantities and distribution. Twenty-nine ionic PFAS species were quantified in samples collected from ten different environments such as daycare center, vehicle, airport, and fire training facility. PFAS were found to be ubiquitous, and present in both PM<sub>2.5</sub> (3.34–22.2 pg/m<sup>3</sup>) and dust (1.27–9840 ng/g). Perfluoroalkyl carboxylic acids (PFCAs) dominated the PFAS profile in both indoor and outdoor PM<sub>2.5</sub>, accounting for 94.1 ± 11.1% of total PFAS, which was significantly higher than that in dust (61.5 ± 32.7%) (p < 0.01). In contrast, the proportion of perfluoroalkane sulfonic acids (PFSAs) in dust (21.7 ± 18.1%) was significantly higher than that in PM<sub>2.5</sub> (4.54 ± 10.5%) (p < 0.01). This suggests that PFCAs are more likely than PFSAs to attach to PM<sub>2.5</sub>, and are capable of long-range atmospheric transport (LRT). Among the 11 PFCAs species, perfluorobutanoic acid (PFBA) and perfluorohexanoic acid (PFHxA), two short chain PFAS, were of the highest concentrations, particularly in samples collected during the wildfire events. This highlights the significance of short chain PFAS in LRT. For indoor PFAS, a strong relationship (r = 0.611–0.853, p < 0.01) was observed between long-chain PFCAs concentrations in PM<sub>2.5</sub> and in dust. These findings provide new insights into the potential processes of indoor PFCAs emissions and distribution and suggest possible exposure pathways of airborne PFAS in urban environments.","PeriodicalId":311,"journal":{"name":"Environmental Pollution","volume":"160 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2026-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146122227","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}
Cesium-137 is one of the most concerned radionuclides produced by fission energy, which has a long half-life, considerable biological toxicity and complex transport behaviors. Wet deposition is a key process in determining the atmospheric transport of 137Cs aerosols following the Fukushima Daiichi nuclear power plant (FDNPP) accident. However, our understanding of this process remains insufficient because of the complex size distributions of the 137Cs aerosols and related atmospheric transport processes. This study investigates the wet deposition behavior of observed 137Cs aerosols by developing a wet deposition model that considers multiple continuous size distributions in the online-coupled WRF-Chem. The wet deposition efficiency is calculated based on Köhler’s theory. Ten log-normal size distributions are constructed, with geometric mean diameters (dm) derived from observation. These distributions are applied to simulate the 137Cs transport following the FDNPP accident. The results reveal that the established model successfully reproduces the 137Cs transport and wet deposition. Below-cloud deposition is dominant over in-cloud deposition for 137Cs aerosols with dm≤2.0 μm. In-cloud deposition is also important when dm>2.0 μm, whereas dry deposition is predominant for dm>6.4 μm. As for the atmospheric concentration, the influence of aerosol size is substantial during weak rain near the source. 137Cs aerosols with dm≈2.8 μm best reproduce both the cumulative deposition and atmospheric concentration at the same time. The results indicate the importance of considering multiple log-normal size distributions and fog deposition.
{"title":"Wet deposition modeling and behavior analysis of 137Cs aerosols using ten observation-based continuous size distributions following the Fukushima accident","authors":"Shuhan Zhuang, Sheng Fang, Yuhan Xu, Xinwen Dong, Daisuke Goto, Yu Morino","doi":"10.1016/j.envpol.2026.127773","DOIUrl":"https://doi.org/10.1016/j.envpol.2026.127773","url":null,"abstract":"Cesium-137 is one of the most concerned radionuclides produced by fission energy, which has a long half-life, considerable biological toxicity and complex transport behaviors. Wet deposition is a key process in determining the atmospheric transport of <sup>137</sup>Cs aerosols following the Fukushima Daiichi nuclear power plant (FDNPP) accident. However, our understanding of this process remains insufficient because of the complex size distributions of the <sup>137</sup>Cs aerosols and related atmospheric transport processes. This study investigates the wet deposition behavior of observed <sup>137</sup>Cs aerosols by developing a wet deposition model that considers multiple continuous size distributions in the online-coupled WRF-Chem. The wet deposition efficiency is calculated based on Köhler’s theory. Ten log-normal size distributions are constructed, with geometric mean diameters (d<sub>m</sub>) derived from observation. These distributions are applied to simulate the <sup>137</sup>Cs transport following the FDNPP accident. The results reveal that the established model successfully reproduces the <sup>137</sup>Cs transport and wet deposition. Below-cloud deposition is dominant over in-cloud deposition for <sup>137</sup>Cs aerosols with d<sub>m</sub>≤2.0 μm. In-cloud deposition is also important when d<sub>m</sub>>2.0 μm, whereas dry deposition is predominant for d<sub>m</sub>>6.4 μm. As for the atmospheric concentration, the influence of aerosol size is substantial during weak rain near the source. <sup>137</sup>Cs aerosols with d<sub>m</sub>≈2.8 μm best reproduce both the cumulative deposition and atmospheric concentration at the same time. The results indicate the importance of considering multiple log-normal size distributions and fog deposition.","PeriodicalId":311,"journal":{"name":"Environmental Pollution","volume":"384 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2026-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146129661","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 : 2026-02-05DOI: 10.1016/j.envpol.2026.127765
Feng Tang, Jun Guo, Li-An-Sheng Wu, Xiao-Yuan Fan, Han-Wen Zhang, Noora Kartiosuo, Boris Novakovic, Ting-Li Han, Hua Zhang, Yin-Yin Xia, Philip Baker, Richard Saffery
Gestational diabetes mellitus (GDM) is a common complication of pregnancy with a complex etiology, and environmental exposure to metals is considered a potential and important risk factor. However, there is still insufficient research on the comprehensive effects of long-term mixed exposure to multiple metals during early pregnancy on GDM and the potential mediating factors. This study aimed to systematically explore the independent and combined effects of exposure to 15 metals during early pregnancy on GDM risk and to clarify the potential mediating role of saturated fatty acids (SFAs) through a prospective cohort of 665 pregnant women recruited between September 2015 and June 2017. Hair samples were collected during early pregnancy, and metal concentrations were measured using inductively coupled plasma mass spectrometry (ICP-MS). SFAs levels in mid-pregnancy were measured by gas chromatography-mass spectrometry (GC-MS). Statistically, logistic regression and restricted cubic splines (RCS) were used to assess the effects of individual metals, and Weighted Quantile Sum (WQS) and Bayesian kernel machine regression(BKMR) model were applied to analyze the combined effects of metal mixtures. Additionally, mediation analysis was conducted to investigate the mediating roles of three SFAs. The results showed that potassium (K), rubidium (Rb), niobium (Nb), silver (Ag), and thallium (Tl) were positively associated with GDM risk, while Nb, Ag, and mercury (Hg) exhibited non-linear exposure-response relationships. Metals mixture had an overall possitive effect on GDM risk. Mediation analysis revealed that myristic acid (C14:0) mediated the associations of K, Rb, Nb, and Ag with GDM risk; pentadecanoic acid (C15:0) mediated the associations of K, Rb, and Nb with GDM risk; and heptadecanoic acid (C17:0) mediated the associations of Rb and Ag with GDM risk.
{"title":"A study on the association between early-pregnancy hair metal levels and gestational diabetes mellitus","authors":"Feng Tang, Jun Guo, Li-An-Sheng Wu, Xiao-Yuan Fan, Han-Wen Zhang, Noora Kartiosuo, Boris Novakovic, Ting-Li Han, Hua Zhang, Yin-Yin Xia, Philip Baker, Richard Saffery","doi":"10.1016/j.envpol.2026.127765","DOIUrl":"https://doi.org/10.1016/j.envpol.2026.127765","url":null,"abstract":"Gestational diabetes mellitus (GDM) is a common complication of pregnancy with a complex etiology, and environmental exposure to metals is considered a potential and important risk factor. However, there is still insufficient research on the comprehensive effects of long-term mixed exposure to multiple metals during early pregnancy on GDM and the potential mediating factors. This study aimed to systematically explore the independent and combined effects of exposure to 15 metals during early pregnancy on GDM risk and to clarify the potential mediating role of saturated fatty acids (SFAs) through a prospective cohort of 665 pregnant women recruited between September 2015 and June 2017. Hair samples were collected during early pregnancy, and metal concentrations were measured using inductively coupled plasma mass spectrometry (ICP-MS). SFAs levels in mid-pregnancy were measured by gas chromatography-mass spectrometry (GC-MS). Statistically, logistic regression and restricted cubic splines (RCS) were used to assess the effects of individual metals, and Weighted Quantile Sum (WQS) and Bayesian kernel machine regression(BKMR) model were applied to analyze the combined effects of metal mixtures. Additionally, mediation analysis was conducted to investigate the mediating roles of three SFAs. The results showed that potassium (K), rubidium (Rb), niobium (Nb), silver (Ag), and thallium (Tl) were positively associated with GDM risk, while Nb, Ag, and mercury (Hg) exhibited non-linear exposure-response relationships. Metals mixture had an overall possitive effect on GDM risk. Mediation analysis revealed that myristic acid (C14:0) mediated the associations of K, Rb, Nb, and Ag with GDM risk; pentadecanoic acid (C15:0) mediated the associations of K, Rb, and Nb with GDM risk; and heptadecanoic acid (C17:0) mediated the associations of Rb and Ag with GDM risk.","PeriodicalId":311,"journal":{"name":"Environmental Pollution","volume":"6 1","pages":""},"PeriodicalIF":8.9,"publicationDate":"2026-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146129680","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 : 2026-02-05DOI: 10.1016/j.envpol.2026.127757
M Pfaff, A Zambrano-Romero, G H LeFevre, V Ochoa-Herrera, S Gupta, Chronister B N C, A L Mianecki, N Carpintero-Salvador, H Checkoway, J R Suarez-Lopez, G L Kayser
Pesticides are widely used in agriculture, floriculture specifically, posing significant ecological and health risks. Limited research has been conducted on the presence of neonicotinoid insecticides (NNI) and atrazine, in drinking and irrigation water in agricultural regions of Latin America. This study describes targeted and non-targeted analysis of concentrations of pesticides in drinking and irrigation water sampled in 2022 and 2023 in an industrial floricultural region in Pedro Moncayo, Ecuador. In targeted analysis, we found NNI in treated drinking water in 20.5% of household tap water samples (8 out of 39), in a community well, and in 57.7% of irrigation water samples (n=15 out of 26). Imidacloprid and thiamethoxam emerged as the most frequently detected NNI in drinking water. Atrazine was detected in two household taps and one well. In exploratory non-targeted analysis, we found 63 compounds, including insecticides, herbicides, and fungicides, including azoles, in drinking and irrigation water samples. Fungicides accounted for 59% of all compounds (37 out of 63) detected. Intense pesticide use in floriculture in proximity to residential areas and aging piped water systems may allow pesticides to leach into treated drinking water pipes and irrigation water. The presence of a wide range of pesticides, especially NNI and fungicides (azoles, specifically), in drinking and irrigation water poses health risks to community members.
{"title":"Occurrence of insecticides, fungicides, and herbicides in household drinking and irrigation water in an intensive floriculture region of Ecuador.","authors":"M Pfaff, A Zambrano-Romero, G H LeFevre, V Ochoa-Herrera, S Gupta, Chronister B N C, A L Mianecki, N Carpintero-Salvador, H Checkoway, J R Suarez-Lopez, G L Kayser","doi":"10.1016/j.envpol.2026.127757","DOIUrl":"https://doi.org/10.1016/j.envpol.2026.127757","url":null,"abstract":"<p><p>Pesticides are widely used in agriculture, floriculture specifically, posing significant ecological and health risks. Limited research has been conducted on the presence of neonicotinoid insecticides (NNI) and atrazine, in drinking and irrigation water in agricultural regions of Latin America. This study describes targeted and non-targeted analysis of concentrations of pesticides in drinking and irrigation water sampled in 2022 and 2023 in an industrial floricultural region in Pedro Moncayo, Ecuador. In targeted analysis, we found NNI in treated drinking water in 20.5% of household tap water samples (8 out of 39), in a community well, and in 57.7% of irrigation water samples (n=15 out of 26). Imidacloprid and thiamethoxam emerged as the most frequently detected NNI in drinking water. Atrazine was detected in two household taps and one well. In exploratory non-targeted analysis, we found 63 compounds, including insecticides, herbicides, and fungicides, including azoles, in drinking and irrigation water samples. Fungicides accounted for 59% of all compounds (37 out of 63) detected. Intense pesticide use in floriculture in proximity to residential areas and aging piped water systems may allow pesticides to leach into treated drinking water pipes and irrigation water. The presence of a wide range of pesticides, especially NNI and fungicides (azoles, specifically), in drinking and irrigation water poses health risks to community members.</p>","PeriodicalId":311,"journal":{"name":"Environmental Pollution","volume":" ","pages":"127757"},"PeriodicalIF":7.3,"publicationDate":"2026-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146136934","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}