Eco-Environment & Health最新文献

Climate, urbanization, and infectious disease: Environmental drivers of Foshan's chikungunya outbreak 气候、城市化和传染病：佛山基孔肯雅热爆发的环境驱动因素

IF 17.6

Eco-Environment & Health Pub Date : 2025-08-23 DOI: 10.1016/j.eehl.2025.100179

Chang He , Guiying Li , Taicheng An

引用次数: 0

A critical review on temperature-mediated marine plastic biodegradation 温度介导的海洋塑料生物降解研究综述

IF 17.6

Eco-Environment & Health Pub Date : 2025-08-20 DOI: 10.1016/j.eehl.2025.100177

Yuanmei Zhang, Yiqi Cao, Bing Chen, Baiyu Zhang

{"title":"A critical review on temperature-mediated marine plastic biodegradation","authors":"Yuanmei Zhang, Yiqi Cao, Bing Chen, Baiyu Zhang","doi":"10.1016/j.eehl.2025.100177","DOIUrl":"10.1016/j.eehl.2025.100177","url":null,"abstract":"<div><div>Biodegradation offers a promising solution to marine plastic pollution. Temperature plays a significant role in biofilm development and microbial dynamics. However, comprehensive studies on the effects of temperature on marine plastic biodegradation remain limited, as most research focuses on individual and moderate temperatures, overlooking how temperature variations across polar to tropical marine environments interact with other ecological factors to influence plastic biodegradation. This review summarizes current research on temperature-induced biofilm formation, microbial succession, and enzymatic depolymerization of plastics. The findings reveal that higher temperatures generally enhance biofilm growth. Notably, cold-tolerant bacteria stimulate the production of extracellular polymeric substances (EPS) to stabilize biofilms and adapt to cold conditions. Microbial succession, particularly within the Proteobacteria phylum, is primarily regulated by temperature, driving shifts in microbial diversity and activity. For different types of plastics, the hydrolyzable ones are degraded via enzymes such as cutinases, lipases, and depolymerases, mostly at mild temperatures. In contrast, non-hydrolyzable plastics are relatively recalcitrant to enzymatic breakdown but can be biodeteriorated by enzyme-generated reactive oxygen species (ROS), with minimal temperature influence due to their slow biodegradation. This review emphasizes the critical role of temperature in biodegradation processes and prospects for promising strategies for improving marine plastic management under the changing climate.</div></div>","PeriodicalId":29813,"journal":{"name":"Eco-Environment & Health","volume":"4 3","pages":"Article 100177"},"PeriodicalIF":17.6,"publicationDate":"2025-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144912187","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Heterogeneity in susceptibility of viruses with different structures to various reactive oxygen species: Kinetics and biological mechanisms 不同结构病毒对各种活性氧易感性的异质性：动力学和生物学机制

IF 17.6

Eco-Environment & Health Pub Date : 2025-08-20 DOI: 10.1016/j.eehl.2025.100178

Zihan Fu , Pingfeng Yu , Mengyao Wang , Lu Zhang , Ying Li , Cong Lyu

{"title":"Heterogeneity in susceptibility of viruses with different structures to various reactive oxygen species: Kinetics and biological mechanisms","authors":"Zihan Fu , Pingfeng Yu , Mengyao Wang , Lu Zhang , Ying Li , Cong Lyu","doi":"10.1016/j.eehl.2025.100178","DOIUrl":"10.1016/j.eehl.2025.100178","url":null,"abstract":"<div><div>Waterborne viruses have caused outbreaks of related diseases and threaten human health, and advanced oxidation processes (AOPs), as clean and efficient technologies, have received widespread attention for their excellent performance in inactivating viruses. However, heterogeneity in susceptibility of structurally distinct viruses to various reactive oxygen species (ROS) is unclear. This study first measured the heterogeneity in inactivation kinetics and biological mechanisms of four typical viral surrogates (MS2, phi6, phix174, and T4) to various ROS by visible light catalysis. Notably, the second-order inactivation rate constants of four viruses by hydroxyl radicals (·OH), singlet oxygen (1O2), and superoxide radicals (·O2−) were quite different: 109–1010, 107–108, and about 105 M−1 s−1, respectively. The susceptibility of four viruses to ROS varied significantly, in the order of phi6 > MS2 > phix174 > T4. More importantly, 1O2 can better oxidize capsid proteins. ·O2−-induced RNA damage was significantly greater than that to the DNA genome, indicating that RNA viruses are more susceptible. ·OH can strongly inactivate the four structurally distinct viruses. Furthermore, the resistance of the ROS-inactivated virus to environmental interference was assessed in detail. This study advanced the understanding of heterogeneity in susceptibility of structurally distinct viruses to various ROS and provided a valuable theoretical basis for the application of AOPs in water disinfection.</div></div>","PeriodicalId":29813,"journal":{"name":"Eco-Environment & Health","volume":"4 3","pages":"Article 100178"},"PeriodicalIF":17.6,"publicationDate":"2025-08-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144917071","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Warming triggers polar carbon-mercury decoupling: Climate perturbation and biogeochemical disruption. 变暖引发极性碳汞解耦：气候扰动和生物地球化学破坏。

IF 17.6

Eco-Environment & Health Pub Date : 2025-08-05 eCollection Date: 2025-09-01 DOI: 10.1016/j.eehl.2025.100175

Chengzhen Zhou, Maodian Liu, Xuejun Wang

引用次数: 0

Mitigating eutrophication may elevate neurotoxic mercury risks in global coastal ecosystems 减轻富营养化可能会提高全球沿海生态系统中神经毒性汞的风险

IF 17.6

Eco-Environment & Health Pub Date : 2025-08-05 DOI: 10.1016/j.eehl.2025.100176

Xiangyu Kong , Lufeng Chen , Yongguang Yin , Yong Cai , Yanbin Li

引用次数: 0

Trophic transfer of CeO2 nanoparticles from clamworm to juvenile turbot and related changes in fish flesh quality CeO2纳米颗粒从蛤蜊到大菱鲆幼鱼的营养转移及其对鱼肉品质的影响

IF 17.6

Eco-Environment & Health Pub Date : 2025-08-05 DOI: 10.1016/j.eehl.2025.100174

Liyun Yin , Zhuomiao Liu , Jian Zhao , Shu Chen , Xiaochuan Wang , Zhenyu Wang

{"title":"Trophic transfer of CeO2 nanoparticles from clamworm to juvenile turbot and related changes in fish flesh quality","authors":"Liyun Yin , Zhuomiao Liu , Jian Zhao , Shu Chen , Xiaochuan Wang , Zhenyu Wang","doi":"10.1016/j.eehl.2025.100174","DOIUrl":"10.1016/j.eehl.2025.100174","url":null,"abstract":"<div><div>Engineered nanoparticles (ENPs) accumulate in marine sediments and exhibit adverse effects on benthic organisms. However, the effect of ENPs on marine benthic food chains is largely unknown. Herein, we investigated the trophic transfer and transformation of CeO2 ENPs within a simulated marine benthic food chain from clamworm (Perinereis aibuhitensis) to turbot (Scophthalmus maximus), as well as their effects on fish flesh quality. The results showed that Ce contents in turbot increased with the accumulation of CeO2 ENPs in clamworm, but no biomagnification of CeO2 ENPs occurred along this food chain. During trophic transfer, CeO2 ENPs in turbot experienced transformation from Ce(IV) to Ce(III). Importantly, CeO2 ENPs accumulated in the muscle of turbot and decreased the crude protein, total amino acid, and delicious amino acid contents, as well as the texture of the muscle. CeO2 ENPs induced the deterioration of flesh quality, which was mainly related to metabolism in muscle and intestinal disorders caused by oxidative stress. Specifically, CeO2 ENPs increased the relative abundance of Stenotrophomonas and Vibrio in the turbot intestine, while decreasing those of Lactobacillus, Bacillus, and Acinetobacter. Significant disturbances in purine and amino acid (aspartate, glutamate, glycine, etc.) metabolism in muscle were induced by CeO2 ENPs. Moreover, correlation analysis showed that microbiota dysbiosis was highly correlated with muscle metabolic dysfunction. Our study provides insights into the transfer and transformation of CeO2 ENPs and their interference with fish flesh quality via the gut–muscle axis, providing useful information on assessing ecological risk and food safety in marine environments.</div></div>","PeriodicalId":29813,"journal":{"name":"Eco-Environment & Health","volume":"4 3","pages":"Article 100174"},"PeriodicalIF":17.6,"publicationDate":"2025-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144908706","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Identification of human pathogens in soil by virulence gene-based machine learning method. 基于毒力基因的机器学习方法鉴定土壤中人类病原体。

IF 17.6

Eco-Environment & Health Pub Date : 2025-07-24 eCollection Date: 2025-09-01 DOI: 10.1016/j.eehl.2025.100171

Shengchun Qi, Shuyan Wang, Yu Xia, Songcan Chen, Huijie Lu

{"title":"Identification of human pathogens in soil by virulence gene-based machine learning method.","authors":"Shengchun Qi, Shuyan Wang, Yu Xia, Songcan Chen, Huijie Lu","doi":"10.1016/j.eehl.2025.100171","DOIUrl":"10.1016/j.eehl.2025.100171","url":null,"abstract":"Soils are important reservoirs of human pathogenic bacteria that can spread to humans through various pathways. Metagenomics enables high-throughput pathogen identification by mapping sequencing reads to known pathogen genomes. However, this approach has several limitations, e.g., sequence assembly is time-consuming, and reliance on reference databases may overlook potential pathogens lacking close genomic matches. Here, we developed a novel, virulence factor (VF) based machine learning method using the K-Nearest Neighbors model (VF-KNN) for identifying human pathogenic bacteria from soil metagenomes. Through learning the VF features of pathogenic and non-pathogenic bacteria, VF-KNN could achieve the desired performance in soil pathogen identification (AUC: 0.95, Accuracy: 0.85). Model prediction accuracy (0.95) was further validated using 61 pathogenic strains isolated from soil. For the top 15 most frequent soil pathogens, the prediction accuracy was >0.90 at 0.4X-1.0X genome coverage. VFs contributing significantly to pathogen identification were associated with regulation, effector delivery, motility, etc. By using VF-KNN, the averaged abundance of total potential pathogens in topsoils across China was 0.44% (n = 336), predominantly concentrated in the eastern coastal provinces. Compared with the conventional method based on a predefined pathogen list, VF-KNN identified 28% more potential pathogenic species, including some newly reported but not in the predefined list (e.g., Mycolicibacterium cosmeticum). Agricultural land exhibited significantly higher pathogen abundance and diversity than the other land types. This newly developed VF-KNN method is applicable for pathogen identification in broader environments.","PeriodicalId":29813,"journal":{"name":"Eco-Environment & Health","volume":"4 3","pages":"100171"},"PeriodicalIF":17.6,"publicationDate":"2025-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12355066/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144875564","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Photovoltaic driven thermo-electro dual module sustainable decontamination in soil 光伏驱动的热电双模块土壤可持续去污

IF 17.6

Eco-Environment & Health Pub Date : 2025-07-23 DOI: 10.1016/j.eehl.2025.100173

Yongping Shan , Mingxiu Zhan , Bin Liu , Feng Liu , Wentao Jiao , Yongguang Yin

引用次数: 0

Selective electrocatalytic denitrification to N2 via dual single-atomic sites on double-shelled mesoporous carbon spheres 双壳介孔碳球上双单原子位选择性电催化脱氮制备N2

IF 17.6

Eco-Environment & Health Pub Date : 2025-07-23 DOI: 10.1016/j.eehl.2025.100172

Wanchao Song, Mengxuan Wang, Hua Zou, Guoshuai Liu

{"title":"Selective electrocatalytic denitrification to N2 via dual single-atomic sites on double-shelled mesoporous carbon spheres","authors":"Wanchao Song, Mengxuan Wang, Hua Zou, Guoshuai Liu","doi":"10.1016/j.eehl.2025.100172","DOIUrl":"10.1016/j.eehl.2025.100172","url":null,"abstract":"<div><div>Electrocatalytic denitrification (ECDN) offers a sustainable prospect by enabling efficient NO3− conversion to harmless N2. However, the N2-selective ECDN remains challenging due to the sluggish kinetics of N–N coupling during NO3− reduction. Here, we developed a novel electrocatalyst of dual single-atomic sites on double-shelled mesoporous carbon spheres (FeNC@MgNC-DMCS) using a continuous sequential modular assembly and pyrolysis approach. The outer Mg–N4 shell creates medium basicity sites that function as the proton fence, which optimizes the spatial distribution of H∗ species and suppresses ∗N protonation pathways that would otherwise lead to ammonia formation. Concurrently, the inner Fe–N4 shell promotes N–N coupling for N2 production. 92.8% NO3− removal and 95.2% N2 selectivity was achieved by the optimized FeNC@MgNC-DMCS catalyst. Furthermore, long-term flow cell testing demonstrated remarkable durability, highlighting the practical potential of FeNC@MgNC-DMCS for sustainable wastewater treatment applications. This work introduces a catalyst design paradigm that integrates a proton-repelling interface to decouple H∗ availability from N2 formation pathways, thereby enabling the development of high-performance ECDN catalysts with balanced activity and selectivity for environmental remediation applications.</div></div>","PeriodicalId":29813,"journal":{"name":"Eco-Environment & Health","volume":"4 3","pages":"Article 100172"},"PeriodicalIF":17.6,"publicationDate":"2025-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144766667","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Predicting hourly indoor ozone concentrations with sensor-based measurements and easily accessible predictors 利用基于传感器的测量和易于获取的预测器预测每小时室内臭氧浓度

IF 17.6

Eco-Environment & Health Pub Date : 2025-07-09 DOI: 10.1016/j.eehl.2025.100170

Jiaxin Chen , Chang Xu , Su Shi , Xinyue Li , Yichen Jiang , Xinling He , Weiran Sun , Sijin Liu , Haidong Kan , Xia Meng

{"title":"Predicting hourly indoor ozone concentrations with sensor-based measurements and easily accessible predictors","authors":"Jiaxin Chen , Chang Xu , Su Shi , Xinyue Li , Yichen Jiang , Xinling He , Weiran Sun , Sijin Liu , Haidong Kan , Xia Meng","doi":"10.1016/j.eehl.2025.100170","DOIUrl":"10.1016/j.eehl.2025.100170","url":null,"abstract":"<div><div>Few studies have predicted indoor ozone (O3) levels using machine learning methods. This study aimed to predict hourly indoor O3 concentrations using easily accessible predictors and a machine learning algorithm. We took measurements of indoor O3 concentrations based on low-cost sensors in 18 cities in China, along with ambient O3 concentration, meteorological factors, and a binary window status indicator as a proxy for ventilation behaviour, to establish random forest models. The results showed that including window status as a predictor improved model performance, with the cross-validation R2 increasing from 0.80 to 0.83 and the root mean square error (RMSE) decreasing from 7.89 to 7.21 ppb, highlighting the importance of considering ventilation behavior in enhancing model accuracy. The model also effectively captured hourly variations in indoor O3, revealing that indoor O3 concentrations were consistently lower and more stable than outdoor levels. These differences suggest that relying solely on ambient data may misrepresent true personal exposure, underscoring the need to incorporate indoor exposure in assessments. This is the first study to apply easily accessible variables and machine learning methods for indoor O3 prediction at a large geographic spatial scale, showing promising potential for improving the accuracy of exposure assessments in epidemiological studies.</div></div>","PeriodicalId":29813,"journal":{"name":"Eco-Environment & Health","volume":"4 3","pages":"Article 100170"},"PeriodicalIF":17.6,"publicationDate":"2025-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144748935","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0