Ecotoxicology and Environmental Safety最新文献

{"title":"Gut microbiota and metabolic health risks from chronic low-dose microplastic exposure with focus on Desulfovibrio spp.","authors":"Ziyun Li, Yonghao Li, Feiyu Cao, Jingjie Huang, Xueyan Gao","doi":"10.1016/j.ecoenv.2025.118721","DOIUrl":"https://doi.org/10.1016/j.ecoenv.2025.118721","url":null,"abstract":"<p><p>Humans inevitably ingest microplastics (MPs) through respiration and diet, yet the long-term effects of routine low-dose intake on the gut microbiota remain unclear. This study investigated the long-term impact of polystyrene microplastics (PS-MPs) on the gut microbiota and metabolism in mice at both low and high dosages. Male BALB/c mice were exposed to PS-MPs at concentrations of 0 (control: regular water), 10 (low-dose) and 100 µg mL^-1 (high-dose) for six-week experiment. Body weight, colon length, gut microbiota composition, and serum metabolites were assessed. Results indicated that long-term low-dose PS-MP intake significantly altered colon length and increased the abundance of Lepagella and Desulfovibrio spp., which are associated with colorectal cancer and gastrointestinal inflammatory diseases. Metabolomic analysis revealed significant impacts of PS-MP on lipid and amino acid metabolism in mice, activating metabolic pathways linked to cancer and neurological diseases. Notably, the upregulated abundance of Desulfovibrio spp. was significantly positively correlated with several risk metabolites (e.g., L-Glutamic gamma-semialdehyde, 8-Amino-7-oxonanoic acid, and Cer(d18:0/16:0)), which are closely related to the development of neurological disorders, metabolic diseases, and cancer. Moreover, PS-MP exposure promoted the conjugation of mobile antibiotic resistance genes and the formation of biofilms by opportunistic pathogens, potentially exacerbating microbial resistance and posing a public health threat. While this study systematically evaluated the longitudinal effects of PS-MPs on gut microbiota and metabolic profiles, further research is needed to clarify the specific molecular mechanisms. Overall, this study reveals the multifaceted impacts of microplastic exposure on host metabolism and health, underscoring the importance of assessing microplastic health risks and developing preventive measures.</p>","PeriodicalId":303,"journal":{"name":"Ecotoxicology and Environmental Safety","volume":"302 ","pages":"118721"},"PeriodicalIF":6.2,"publicationDate":"2025-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144697236","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}

{"title":"Integrative causal and single-cell analyses reveal genes responsive to endocrine disruptors driving human male infertility.","authors":"Yanggang Hong, Yirong Wang, Jiajun Li, Wanyi Shu, Haolin Chen, Congde Chen","doi":"10.1016/j.ecoenv.2025.118709","DOIUrl":"https://doi.org/10.1016/j.ecoenv.2025.118709","url":null,"abstract":"<p><p>Male infertility is a growing global health concern increasingly linked to environmental exposure to endocrine-disrupting chemicals (EDCs). However, the specific molecular mechanisms by which EDCs contribute to impaired reproductive function remain unclear. In this study, we systematically identified EDC-related genes using curated chemical-gene interaction databases and assessed their causal roles in male infertility through Mendelian randomization (MR) and colocalization analyses, utilizing large-scale cis-eQTL and GWAS datasets. A total of six genes, RHEB, PARP1, SLTM, PLIN1, PEX11A, and SDCBP, showed strong evidence of causal relationships and shared genetic variants associated with both gene expression and infertility traits. Single-cell RNA sequencing of human testicular tissue revealed that these genes are predominantly expressed in germ cells and are significantly dysregulated in non-obstructive azoospermia (NOA) samples, supporting their functional relevance. Additionally, environmental mapping indicated that several widely encountered EDCs, including bisphenol A (BPA) and its analogs, triphenyl phosphate (TPP), and sodium arsenite, interact with multiple candidate genes. These findings provide mechanistic insight into how chemical exposures can dysregulate gene expression in testicular cells and contribute to male infertility, highlighting the need for targeted environmental risk assessments and regulatory strategies.</p>","PeriodicalId":303,"journal":{"name":"Ecotoxicology and Environmental Safety","volume":"302 ","pages":"118709"},"PeriodicalIF":6.2,"publicationDate":"2025-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144697237","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}

{"title":"Women's bone health trajectories from pregnancy to postpartum: Associations with bone-seeking metal exposure mixtures during pregnancy.","authors":"Sandra India-Aldana, Hachem Saddiki, Marcela Tamayo-Ortiz, Katerina Margetaki, Damaskini Valvi, Julio Landero, Lauren Petrick, Adriana Mercado-García, Andrea Baccarelli, Martha María Téllez-Rojo, Robert Wright, Elena Colicino","doi":"10.1016/j.ecoenv.2025.118698","DOIUrl":"https://doi.org/10.1016/j.ecoenv.2025.118698","url":null,"abstract":"<p><p>Exposure to metals can impact bone health in women during sensitive periods. However, the longitudinal effect of exposure to a metal mixture on bone strength trajectories during peri-pregnancy is unknown. Our study included pregnant women from the PROGRESS cohort with metal exposures and bone strength z-scores of the radius (n = 329) and proximal phalanx (n = 270). Bone strength z-scores were assessed using quantitative ultrasound during the 3rd trimester, and 1 and 6 months postpartum. We then averaged levels of bone-seeking metals in blood (Pb, Mn) and urine (Cd, Ba, Al) assessed during pregnancy. Metals were jointly linked as a single exposure mixture with prospective bone strength z-scores using Bayesian Varying Coefficient Kernel Machine Regression. We observed that a quartile increase in Al levels was positively associated with radius z-scores at 3rd trimester of pregnancy [β = 0.10 (95 % CI: 0.02, 0.18)], while a quartile increase in Cd levels was negatively associated with radius z-score trajectories from the 3rd trimester across postpartum [β = -0.30 (95 % CI: -0.49, -0.11)]. We also observed several negative associations between Mn [β = -0.10 (95 % CI: -0.18, -0.03)], Pb [β = -0.09 (95 % CI: -0.16, -0.02)], or Al [β = -0.12 (95 % CI: -0.21, -0.03)] with phalanx z-score levels at pregnancy, but that did not persist throughout the postpartum trajectory. Stratified models indicated potential differential effects in mothers carrying a male fetus compared to mothers carrying a female fetus. Our study findings indicate overall deleterious effects from metals on bone strength in pregnancy and at postpartum.</p>","PeriodicalId":303,"journal":{"name":"Ecotoxicology and Environmental Safety","volume":"302 ","pages":"118698"},"PeriodicalIF":6.2,"publicationDate":"2025-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144697240","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}

{"title":"Selenium exposure on breast cancer risk and progression: Comprehensive analysis identifies MSRB1 as a novel therapeutic target","authors":"Jingsong Cheng ,&nbsp;Diyuan Zhang ,&nbsp;Ningxi Wang ,&nbsp;Ziheng Zheng ,&nbsp;Cong Zhang ,&nbsp;Nanting Chen ,&nbsp;Yuanyuan Wan ,&nbsp;Xue Chen ,&nbsp;Qingyao Yin ,&nbsp;Xinyi Zhu ,&nbsp;Yu Zhao ,&nbsp;Liming Yi ,&nbsp;Na Sun","doi":"10.1016/j.ecoenv.2025.118722","DOIUrl":"10.1016/j.ecoenv.2025.118722","url":null,"abstract":"<div><h3>Background</h3><div>Breast cancer (BRCA) is the most common malignancy in women worldwide. Selenium (Se), a crucial trace element, significantly impacts BRCA patient survival, although its roles in tumorigenesis, the tumor immune microenvironment (TIME), and precision therapy remain unclear.</div></div><div><h3>Methods</h3><div>We used Mendelian randomization to investigate the causal link between blood Se and BRCA risk. Transcriptome profiling of 25 selenoproteins, combined with the TCGA-BRCA and METABRIC cohorts, identified Se-related patterns, including two Se clusters, and a Se-related risk score (SeRS) was developed via machine learning. We assessed the relationships of the SeRS with clinical features, prognosis, cancer hallmarks, stemness, the TIME, and the ICI therapy response. The CMap database identified potential BRCA drugs, while random forests pinpointed critical selenoproteins. In vitro experiments in MCF-7 and MDA-MB-231 cells explored the impact of MSRB1 on tumor characteristics and oxidative stress.</div></div><div><h3>Results</h3><div>Our results established a protective causal link between blood Se and BRCA risk. Two Se clusters (SeC1 and SeC2) were identified on the basis of selenoprotein expression. The SeRS, which incorporates SELENOH, GPX4, GPX1, MSRB1, TXRND1, and SELENOV, strongly predicted clinical outcomes and ICI therapy response. Potential drugs to overcome chemotherapy resistance were identified. MSRB1, with the highest copy number variation (CNV) and a significant role in BRCA, was deemed the most critical selenoprotein in BRCA. Its depletion significantly reduced BRCA cell proliferation, migration, and invasion while increasing reactive oxygen species.</div></div><div><h3>Conclusions</h3><div>This study introduces a novel selenoprotein-based classification and prognostic signature for BRCA patients, enhancing personalized prognosis and precision therapy. These findings highlight MSRB1 as a potential therapeutic target, offering new insights into the roles of Se and selenoproteins in BRCA treatment.</div></div>","PeriodicalId":303,"journal":{"name":"Ecotoxicology and Environmental Safety","volume":"302 ","pages":"Article 118722"},"PeriodicalIF":6.1,"publicationDate":"2025-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144697238","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}

{"title":"Potential effects of endocrine-disrupting chemicals on preserved ratio impaired spirometry revealed by five different approaches","authors":"Chenyuan Deng ,&nbsp;Yu Jiang ,&nbsp;Yuechun Lin ,&nbsp;Hengrui Liang,&nbsp;Wei Wang,&nbsp;Ying Huang,&nbsp;Jianxing He","doi":"10.1016/j.ecoenv.2025.118701","DOIUrl":"10.1016/j.ecoenv.2025.118701","url":null,"abstract":"<div><h3>Objective</h3><div>Evidence from prior studies indicates that certain endocrine-disrupting chemicals (EDCs), such as phenols and phthalates, may serve as environmental risk factors for chronic obstructive pulmonary disease (COPD). However, no studies have examined the potential associations between EDCs and preserved ratio impaired spirometry (PRISm), a precursor to COPD.</div></div><div><h3>Methods</h3><div>Data from 1363 participants in the NHANES 2007–2012 dataset were analyzed. Multiple logistic regression was employed to investigate the associations between individual EDCs and PRISm. The mixed effects of multiple EDCs on PRISm were assessed using three mixture analysis models: weighted quantile sum (WQS) regression, quantile g-computation (Qgcomp), and Bayesian kernel machine regression (BKMR). Additionally, the mediating roles of uric acid and SII were examined. Furthermore, an innovative identification model for PRISm was developed using participants’ demographic information and EDC exposure levels.</div></div><div><h3>Results</h3><div>WQS regression and Qgcomp demonstrated that each index rise in the EDC-mixture index increased the odds of PRISm by 63 % (OR=1.63, 95 % CI: 1.25–2.13, P &lt; 0.001) and 41 % (OR=1.41, 95 % CI: 1.15–1.72, P &lt; 0.001), and BKMR model confirmed the same positive direction. The overall mixture effect was primarily attributable to mono-isobutyl phthalate (MIBP), which also yielded the largest single-chemical odds ratio in multivariable logistic regression (OR=2.29, 95 % CI: 1.71–3.07, P &lt; 0.001). Mediation analysis showed that SII and uric acid mediated 15.8 % and 15.6 % of the association between mixed EDCs and PRISm, respectively. The results of SHAP interpretability analysis based CatBoost model further highlighted MIBP as the most informative environmental predictor.</div></div><div><h3>Conclusion</h3><div>These findings suggest that exposure to EDCs may be linked to the prevalence of PRISm. These results provide novel epidemiological evidence for PRISm.</div></div>","PeriodicalId":303,"journal":{"name":"Ecotoxicology and Environmental Safety","volume":"302 ","pages":"Article 118701"},"PeriodicalIF":6.1,"publicationDate":"2025-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144688428","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}

{"title":"Study on toxicity and bioavailability of metals from urban PM_2.5 and PM₁₀ extracted in simulated biological fluids: in vitro and in vivo assessment.","authors":"Juri Rimauro, Gaetana Napolitano, Gianluca Fasciolo, Paola Venditti, Angelo Riccio, Elena Chianese","doi":"10.1016/j.ecoenv.2025.118707","DOIUrl":"https://doi.org/10.1016/j.ecoenv.2025.118707","url":null,"abstract":"<p><p>Airborne particulate matter (PM), particularly fine (PM_2.5) and coarse (PM₁₀) fractions, contains toxic metals that contribute to oxidative stress development and adverse health effects. This study evaluates the bioavailability and toxicity of both regulated metals (Pb, Cd, Ni, As) and unregulated metals (Fe, Cu, Zn, V) in urban PM using simulated biological fluids (SBFs) to replicate different human exposure routes. The metal solubility was assessed using Gamble's solution (neutral lung interstitial fluid), artificial lysosomal fluid (ALF), artificial saliva, and artificial tear fluid, simulating inhalation, ingestion, and ocular contact, respectively. Results indicate that acidic fluids (ALF) significantly increased the solubility of Cu, Pb, and Fe, particularly in PM_2.5, due to enhanced proton-driven metal leaching. PM_2.5 extracts consistently exhibited higher bioavailable metal concentrations than PM₁₀, reflecting the greater surface area and reactivity of fine particles. Toxicological evaluations using the Artemia franciscana model revealed that PM exposure alters redox homeostasis by increasing reactive oxygen species (ROS) content, lipid peroxidation, and protein carbonylation and inducing the increase in antioxidant activity of the enzymes glutathione peroxidase and reductase. PM_2.5 extracts had a greater toxic impact, suggesting a stronger link between fine particulate-bound metals and oxidative damage. By standardizing SBFs and integrating information obtained through chemical and biological approaches we get more information on the bioavailability and potential harmful effects of metals associated with PM. The findings highlight the need for more stringent air quality controls, mainly targeting PM_2.5 due to its increased metal bioavailability and toxicity. Furthermore, this study validates Artemia franciscana as a cost-effective and ethically acceptable model for in vivo toxicological assessments.</p>","PeriodicalId":303,"journal":{"name":"Ecotoxicology and Environmental Safety","volume":"302 ","pages":"118707"},"PeriodicalIF":6.2,"publicationDate":"2025-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144688440","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}

{"title":"Machine learning-based source apportionment and source-oriented probabilistic ecological risk assessment of heavy metals in urban green spaces.","authors":"Jun Li, Jia-Yi Lu, Xin-Ying Tuo, Chao Wang, Jun-Zhuo Liu, Zhan-Dong Gao, Cun-Hao Yu, Fei Zang","doi":"10.1016/j.ecoenv.2025.118714","DOIUrl":"https://doi.org/10.1016/j.ecoenv.2025.118714","url":null,"abstract":"<p><p>Global urbanization has significantly contributed to soil contamination by heavy metals (HMs), posing serious ecological risks, particularly within urban green spaces (UGS). This study focused on UGS soils in Lanzhou, a major river-valley city in China. Multiple pollution indices, including geo-accumulation index (I_geo), enrichment factor (EF), and Nemerow integrated enrichment factor (NIEF), were combined with Monte Carlo simulations (MCS) to assess probabilistic contamination levels. Machine learning methods, including SOM super-clustering and random forest (RF), were integrated with positive matrix factorization (PMF) to quantify the sources of soil HMs. Ecological risk index (RI) was combined with MCS analysis and PMF model to apportion the source-oriented probabilistic ecological risks. Results showed that the average concentrations of Cd (0.38 mg kg^-1), Cu (35.51 mg kg^-1), Hg (0.07 mg kg^-1), Pb (34.59 mg kg^-1), and Zn (130.58 mg kg^-1) exceeded local soil background values, except for As (8.56 mg kg^-1), Cr (62.77 mg kg^-1), and Ni (27.68 mg kg^-1). Notably, exceedance rates for Cd, Hg, Pb, and Zn were 90.91 %, 94.95 %, 80.81 %, and 87.88 %, respectively. Elevated concentrations, particularly of Zn, Cd, Pb, and Hg, displayed distinct spatial patterns linked to industrial activities and urban development. Overall contamination reached moderate levels, primarily driven by Cd and Hg. Source apportionment identified traffic emissions, industrial activities, and coal combustion as the principal HM sources. Probabilistic ecological risk assessment confirmed that Cd and Hg pose the greatest ecological risks, primarily stemming from industrial activities and coal combustion. These findings provide important insights for developing source-specific remediation to mitigate and manage HM pollution in urban green spaces.</p>","PeriodicalId":303,"journal":{"name":"Ecotoxicology and Environmental Safety","volume":"302 ","pages":"118714"},"PeriodicalIF":6.2,"publicationDate":"2025-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144688426","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}

{"title":"Plastic additive bisphenol S induces depression by promoting AZU1/CTSD proteins to mediate plasma-related proteins and metabolites: A comprehensive multi-omics analysis","authors":"Ni-ren Li ,&nbsp;Pai Xie ,&nbsp;Yi-xuan Zeng ,&nbsp;Bing-ying Deng ,&nbsp;Si-fan Lu ,&nbsp;Yu-feng Gu ,&nbsp;Yanhong Ma ,&nbsp;Chao-hua Luo ,&nbsp;Yi Liu","doi":"10.1016/j.ecoenv.2025.118717","DOIUrl":"10.1016/j.ecoenv.2025.118717","url":null,"abstract":"<div><h3>Background</h3><div>The role of bisphenol S (BPS) in the pathogenesis of depression still unclear, particularly regarding its underlying mechanisms and causality.</div></div><div><h3>Methods</h3><div>In this study, network toxicology approaches were employed to explore the mechanisms underlying BPS-induced depression, and Mendelian randomization (MR) was utilized to validate the causal relationship between BPS-targeted proteins and depression. Clinical datasets were further analyzed to corroborate the identified proteins. Molecular docking and molecular dynamics (MD) simulations were conducted to assess the binding stability between BPS and its target proteins. To investigate potential mediating pathways through which BPS-targeted proteins might contribute to depression, multi-omics data were integrated, including proteome-wide association study datasets from the FINNGEN biobank, the UK Biobank Pharma Proteomics Project, and the Icelandic deCODE consortium, as well as human plasma metabolomic datasets. This enabled a systematic exploration of the mediating roles of plasma proteins and metabolites in the association between BPS-targeted proteins and depression. Finally, protein-protein docking simulations were performed to validate interactions among key proteins. All analyses adhered to rigorous scientific standards for reproducibility and validity.</div></div><div><h3>Results</h3><div>BPS impaired the blood-brain barrier and exerted adverse effects on the brain. Network toxicology analysis revealed that BPS promotes the onset of depression by modulating pathways including neuroactive ligand-receptor interaction, calcium signaling pathway, cAMP signaling pathway, PI3K-Akt signaling pathway, and apoptosis. Using MR, molecular docking, MD simulations, and clinical data validation, we demonstrated that BPS stably binds to its target proteins, AZU1 and CTSD, and exhibits a significant causal relationship with depressive symptoms. Mediation MR analysis further revealed that AZU1 promotes depression by mediating the expression of plasma proteins CD302 and FGF19, as well as the production of the plasma metabolite phosphate to urate ratio. Similarly, CTSD mediates the depressive effects by regulating plasma metabolite levels, including cysteinylglycine disulfide, oxidized Cys-gly, X-11470, cysteinylglycine to taurine ratio, and aspartate to mannose ratio.</div></div><div><h3>Conclusions</h3><div>This study elucidates the mechanistic pathways through which the plastic additive BPS induces depression, providing critical insights into its adverse effects on the brain. These findings hold significant implications for public health safety and offer a comprehensive research framework and novel perspectives for evaluating the safety of plastic additives.</div></div>","PeriodicalId":303,"journal":{"name":"Ecotoxicology and Environmental Safety","volume":"302 ","pages":"Article 118717"},"PeriodicalIF":6.1,"publicationDate":"2025-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144688427","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}

{"title":"A dynamic dietary-proportion model for polychlorinated biphenyl accumulation in juvenile bluefin tuna","authors":"Jiawen Hao ,&nbsp;Yucong Liu ,&nbsp;Yoshiki Nishi","doi":"10.1016/j.ecoenv.2025.118710","DOIUrl":"10.1016/j.ecoenv.2025.118710","url":null,"abstract":"<div><div>The dietary habits of tuna in marine ecosystems are opportunistic, depend on prey availability, and change as tuna transition from larval to juvenile to adult. This behavior likely influences variations in toxic pollutant accumulation in their bodies. To develop a practical method for simulating pollutant concentrations and assessing marine environmental risk, this study created a theoretical model and numerical computation algorithm that accounts for the dynamic dietary proportions in tuna predation. The opportunistic and stochastic nature of predation was represented by a statistical distribution of body length ratios between prey and predator, using a Bayesian-inferred approach to stochastically determine prey species and incorporate daily dietary composition changes. This model was applied to simulate the accumulation of Polychlorinated Biphenyls (PCBs) in juvenile bluefin tuna. Comparisons between calculated and measured PCB concentrations showed good agreement, validating the model. During the larval stage, zooplankton was the dominant prey. In the juvenile stage, its proportion decreased, while cephalopods and fish alternately increased. These findings highlight the importance of incorporating growth-dependent dietary shifts into bioaccumulation models.</div></div>","PeriodicalId":303,"journal":{"name":"Ecotoxicology and Environmental Safety","volume":"302 ","pages":"Article 118710"},"PeriodicalIF":6.1,"publicationDate":"2025-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144688425","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}

{"title":"Phenoxycarboxylic acid herbicides in environment: Recent updates on pretreatment and analysis methods.","authors":"Chen-Jie Ren, Yuan Zhang, Yu Bian, Juan Zhu, Xue-Song Feng, Kun Liu","doi":"10.1016/j.ecoenv.2025.118715","DOIUrl":"https://doi.org/10.1016/j.ecoenv.2025.118715","url":null,"abstract":"<p><p>Phenoxycarboxylic acid herbicides (PCAs), including 2,4-D and MCPA, are recognized as auxin herbicides renowned for their proficient management of grass weeds. However, the extended environmental longevity of PCAs presents ecological concerns and potential health risks. Therefore, the assessment of PCAs in environmental samples is of paramount significance. To date, no comprehensive review has addressed the pretreatment and analytical methods for PCAs since 2017. This review aims to provide a systematic overview of the techniques developed for PCA residue analysis over the past years. This work particularly highlights recent advancements in novel pretreatment techniques, materials, and analytical strategies, being committed to presenting insights based on conventional approaches. Pretreatment strategies include liquid-liquid extraction, and solid-phase extraction, as well as emerging technologies such as microextraction-based methods, magnetic-assisted methods, and so on. Special emphasis is placed on the integration of cutting-edge materials such as molecularly imprinted polymers and nanomaterials, and on the adoption of unconventional solvents like ionic liquids and supramolecular solvents, which have significantly enhanced selectivity, sensitivity, and environmental compatibility. High-performance liquid chromatography-tandem mass spectrometry continues to serve as a prevalent method of detection. Furthermore, gas chromatography-based methods, capillary electrophoresis methods, and sensor methods have been utilized for the analysis of PCAs. This work provides a comparative evaluation of these techniques based on their practical applicability, analytical performance, and sustainability, thereby identifying current limitations and future opportunities for PCA residue analysis.</p>","PeriodicalId":303,"journal":{"name":"Ecotoxicology and Environmental Safety","volume":"302 ","pages":"118715"},"PeriodicalIF":6.2,"publicationDate":"2025-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144681774","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}