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
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.
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