在中国东部饮用水源中对新出现的令人担忧的污染物的优先查:基于暴露-活性比率 (EAR) 的风险评估

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The Science of the total environment

|June 15, 2023

概括

暴露-活性比率 (EAR) 方法有效地识别了饮用水中的新兴关注的优先污染物 (CEC),揭示了生态和人类健康风险. 这种方法为评估化学安全的传统方法提供了一个敏感的替代方案.

科学领域:

环境化学环境化学
毒理学毒理学毒理学
风险评估风险评估

背景情况:

新兴关注的污染物 (CEC) 在饮用水中广泛存在,构成重大风险.
传统的毒性评估方法存在局限性,特别是对于缺乏全面数据的化学品.
使用ToxCast数据的暴露活动比率 (EAR) 方法为风险评估提供了一种高通量方法.

研究的目的:

调查112个CEC在中国江省饮用水源中的存在和风险.
将EAR方法的有效性与传统的毒性系数 (TQ) 进行比较,以优先考虑CEC.
利用不良结果途径 (AOPs) 探索与已识别的高风险CEC相关的潜在人类健康和生态风险.

主要方法:

在饮用水源的52个采样地点调查了112个CEC.
计算的暴露-活性比率 (EAR) 和分析的化学发生数据.
根据EAR确定优先化学品,并将EARmax与毒性系数 (TQ) 进行比较.

主要成果:

确定了二可纳 (优先级1),二甲基 (优先级2) 和其他八种CEC (优先级3).
通过不良结果途径 (AOPs) 探索可观察到的生物效应,表明肝细胞腺瘤和癌症等风险.
EAR方法被证明是可以接受的,并且比TQ更敏感,用于优先考虑CEC.

结论:

EAR方法是一种敏感且可接受的方法,用于选饮用水中的优先级CEC.
确定的高风险 CEC 存在潜在的生态和人类健康威胁.
建议将生物危害程度纳入EAR方法,以确定未来的化学品优先级.

关键词:

负面结果的途径.新出现的污染物引起了人们的关注.饮用水来源饮用水来源风险与活动比率的曝光.优先进行查.

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