Environmental Chemistry and Ecotoxicology环境化学与生态毒理学

Environmental Chemistry and Ecotoxicology(英文缩写 ENVIRON CHEM ECOTOX),ISSN 2590-1826,eISSN 2590-1826,中文译名:环境化学与生态毒理学 是一本学术期刊。本页汇总该期刊的最新影响因子、分区信息以及最新收录于 PubMed 的文献,帮助您快速了解期刊全貌。

2026 年数据 · 影响因子
12.300
JCR 分区
Q1
CAS 分区
B1
近一年发文量
1
本站 PubMed 收录统计

发文量统计区间:2025-11-01 至 2026-10-31,按本站收录文献的发表日期统计。

ISSN: 2590-1826 · eISSN: 2590-1826 · 缩写: ENVIRON CHEM ECOTOX ·中文: 环境化学与生态毒理学

期刊介绍

选择期刊介绍栏目

期刊简介

《Environmental Chemistry and Ecotoxicology》是一本聚焦环境化学与生态毒理学交叉领域的国际期刊,主要发表关于污染物在环境中的行为、归趋、生物效应及风险评估的研究。读者群包括环境科学家、毒理学家、生态学家及环境政策制定者,旨在促进对化学物质生态影响的理解。

研究方向

期刊涵盖环境化学、生态毒理学、污染物环境行为、生物累积与放大、生态风险评估、环境监测与修复等主题。论文类型包括原创研究、综述、短通讯及评论,重点关注化学品对生态系统和人类健康的潜在影响。

期刊特色

该刊强调多学科交叉和现实环境问题的解决,论文通常结合化学分析与毒理学测试,注重机制探讨和风险评估。适合从事环境科学、毒理学、生态学及公共卫生的研究人员,尤其是关注污染物生态效应的学者。

投稿难度

投稿难度较高,因期刊对创新性和数据质量要求严格,且竞争激烈。建议作者确保研究具有明确的环境毒理学意义,方法严谨,数据充分,并清晰阐述对生态风险评估的贡献。

Environmental Chemistry and Ecotoxicology 最新收录文献

  1. JCR分区: Q1 CAS分区: B1 影响因子: 12.3

    1. A Streamlined Automated Liquid Handling and 96-Well Solid-Phase Extraction for Single Low-Volume Urine Aliquot Multiclass Biomarker Analysis in Human Biomonitoring.

    作者:
    Ravikumar Jagani, Dhavalkumar Patel, Anil K Meher, Divya Pulivarthi, Jasmin Chovatiya, Hiraj Patel, Sandipkumar Teraiya, Syam S Andra
    日期:
    2026-08-21

    Laboratory automation has gained significant importance in large-scale biomonitoring studies, providing notable advantages in sample handling, pre-treatment, and cleanup processes. This study introduces a validated automated 96-well format method for the simultaneous extraction and analysis of various urinary biomarkers belonging to different chemical classes. These chemical classes, listed in alphabetical order, include compounds or their metabolites belonging to cannabinoids, environmental phenols, organophosphate flame retardants, non-persistent pesticides, polycyclic aromatic hydrocarbons, tobacco, and volatile organic compounds. The automated workflow employs an epMotion 5075 vtc workstation for sample preparation, featuring automated sample aliquoting, enzymatic pre-treatment, and solid-phase extraction cleanup, followed by liquid chromatography-tandem mass spectrometry analysis. Method validation was performed using urine quality control pools spiked with 0.1 to 10 ppb of each analyte. Results demonstrated excellent precision, with coefficients of variation below 20% for both native and internal standard responses across the chemical classes. Recovery rates for spiked samples consistently ranged from 80% to 120%, affirming the method's accuracy and reliability. The consistency in performance across different chemical classes and concentration ranges highlights the robustness of the automated method. The automated system effectively quantified biomarkers at low ng/mL concentrations in native (unspiked) urine samples, demonstrating sensitivity that is appropriate for comprehensive exposure assessment studies.

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