化学污染物在环境矩阵中的发生,使用非向分析和基于效应的方法:系统的定量文献综述

化学污染物在环境矩阵中的发生,使用非向分析和基于效应的方法:系统的定量文献综述

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Mikaela J Radke¹, Sarah L Cresswell², Frederic D L Leusch¹

¹Australian Rivers Institute, School of Environment and Science, Griffith University, 4111, Nathan, Australia.

The Science of the total environment

|October 30, 2025

概括

本次审查强调,沉积物和废水是化学污染物分析的常见环境矩阵. 未知极变产物和新出现的污染物有助于毒性,需要进一步研究.

科学领域:

环境化学环境化学
生态毒理学生态毒理学
分析化学分析化学

背景情况:

非定向分析 (NTA) 与效果导向分析 (EDA) 相结合,对于识别环境污染物至关重要.
之前的审查集中在特定的矩阵或污染物类别上,在了解NTA-EDA在各种环境样本中的应用方面存在差距.

研究的目的:

系统地审查使用NTA-EDA在生态毒性研究中发现的样本矩阵和化学污染物.
为了识别NTA-EDA应用程序中代表性不足的环境矩阵.
评估已识别的化学污染物与观察到的毒性之间的关系.

主要方法:

使用NTA-EDA进行的95项生态毒性研究的定量文献综述.
根据化合物类别 (例如,持久性有机污染物,内分泌干扰化学物质) 和化合物类型 (例如,药品,杀虫剂,可塑剂) 进行识别化学品的分类.
分析所分析的环境矩阵的分析及其在经过审查的文献中的表示.

主要成果:

沉积物和废水废水是最常被分析的矩阵.
持久性有机污染物 (POP) 和内分泌干扰化学物质 (EDC) 是主要的化学品类别.
鉴定到的化合物仍然无法解释相当一部分毒性,特别是在极性分数中,这表明存在未知的极性转化产物和新出现的污染物.

结论:

目前的NTA-EDA方法是有效的识别已知的工业污染物,如POPs和EDCs在共同的矩阵.
像地下水和空气这样的代表性不足的矩阵需要NTA-EDA的更广泛应用.
未确定的极性化合物和转化产品的存在表明,需要开发先进的分析技术来充分了解环境毒性.

关键词:

新出现的污染物引起了人们的关注.以结果为导向的分析.环境污染物环境污染物非有针对性的非有针对性的

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