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利用被动采样器优先考虑潜在关注的农药,并确定大湖支流中的潜在混合物效应。

Prioritizing Pesticides of Potential Concern and Identifying Potential Mixture Effects in Great Lakes Tributaries Using Passive Samplers.

机构信息

US Geological Survey, Upper Midwest Water Science Center, Madison, Wisconsin, USA.

US Geological Survey, Columbia Environmental Research Center, Colombia, Missouri, USA.

出版信息

Environ Toxicol Chem. 2023 Feb;42(2):340-366. doi: 10.1002/etc.5491. Epub 2022 Dec 23.

DOI:10.1002/etc.5491
PMID:36165576
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10107608/
Abstract

To help meet the objectives of the Great Lakes Restoration Initiative with regard to increasing knowledge about toxic substances, 223 pesticides and pesticide transformation products were monitored in 15 Great Lakes tributaries using polar organic chemical integrative samplers. A screening-level assessment of their potential for biological effects was conducted by computing toxicity quotients (TQs) for chemicals with available US Environmental Protection Agency (USEPA) Aquatic Life Benchmark values. In addition, exposure activity ratios (EAR) were calculated using information from the USEPA ToxCast database. Between 16 and 81 chemicals were detected per site, with 97 unique compounds detected overall, for which 64 could be assessed using TQs or EARs. Ten chemicals exceeded TQ or EAR levels of concern at two or more sites. Chemicals exceeding thresholds included seven herbicides (2,4-dichlorophenoxyacetic acid, diuron, metolachlor, acetochlor, atrazine, simazine, and sulfentrazone), a transformation product (deisopropylatrazine), and two insecticides (fipronil and imidacloprid). Watersheds draining agricultural and urban areas had more detections and higher concentrations of pesticides compared with other land uses. Chemical mixtures analysis for ToxCast assays associated with common modes of action defined by gene targets and adverse outcome pathways (AOP) indicated potential activity on biological pathways related to a range of cellular processes, including xenobiotic metabolism, extracellular signaling, endocrine function, and protection against oxidative stress. Use of gene ontology databases and the AOP knowledgebase within the R-package ToxMixtures highlighted the utility of ToxCast data for identifying and evaluating potential biological effects and adverse outcomes of chemicals and mixtures. Results have provided a list of high-priority chemicals for future monitoring and potential biological effects warranting further evaluation in laboratory and field environments. Environ Toxicol Chem 2023;42:340-366. Published 2022. This article is a U.S. Government work and is in the public domain in the USA. Environmental Toxicology and Chemistry published by Wiley Periodicals LLC on behalf of SETAC.

摘要

为了帮助实现大湖恢复倡议的目标,提高人们对有毒物质的认识,在 15 条大湖支流中使用极性有机化学综合采样器监测了 223 种农药和农药转化产物。通过计算具有可用美国环保署(USEPA)水生生物基准值的化学物质的毒性商数(TQ),对其潜在生物效应进行了筛选水平评估。此外,还使用美国环保署 ToxCast 数据库中的信息计算了暴露活性比(EAR)。每个地点检测到 16 到 81 种化学物质,总共检测到 97 种独特的化合物,其中 64 种可以用 TQ 或 EAR 进行评估。有 10 种化学物质在两个或更多地点超过了 TQ 或 EAR 关注水平。超过阈值的化学物质包括 7 种除草剂(2,4-二氯苯氧基乙酸、敌草隆、甲草胺、乙草胺、莠去津、西玛津和噻吩磺隆)、一种转化产物(去异丙基莠去津)和两种杀虫剂(氟虫腈和吡虫啉)。与基因靶点和不良结局途径(AOP)定义的常见作用模式相关的 ToxCast 测定的化学混合物分析表明,对与一系列细胞过程相关的生物途径可能具有活性,包括外源性代谢、细胞外信号、内分泌功能和抗氧化应激保护。在 R 包 ToxMixtures 中使用基因本体数据库和 AOP 知识库突出了 ToxCast 数据用于识别和评估化学物质和混合物的潜在生物效应和不良结局的效用。结果提供了一份高优先级化学物质清单,用于未来的监测,并需要在实验室和现场环境中进一步评估潜在的生物效应。环境毒理化学 2023;42:340-366。2022 年出版。本文是美国政府的一项工作,在美国属于公有领域。由 Wiley Periodicals LLC 代表 SETAC 出版的《环境毒理学与化学》。

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