高效效率效果导向分析利用五个高层次进步:批判性审查
Jifu Liu1,2,3, Tongtong Xiang1,4, Xue-Chao Song1,2,3
1State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.
Environmental science & technology
|May 31, 2024
概括
以效果为导向的分析 (EDA) 通过将化学化合物与生物危害联系起来来识别环境毒素. 本次审查提出了提取,分化,生物测试和化学分析方面的进展,以提高EDA的效率,以实现更好的环境治理.
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:
- 有机污染物对水生生态系统和人类健康构成重大风险.
- 在复杂的环境混合物中识别特定的毒素是具有挑战性的,因为样本的复杂性和分析的局限性.
研究的目的:
- 审查和提出关键进展,以提高效果导向分析 (EDA) 的效率和范围.
- 解决目前EDA方法的局限性,以改善毒性物质的识别和环境风险评估.
主要方法:
- 提出了五个关键的进步:使用多种吸附剂进行全面的化学提取,通过微/多维技术进行精细分化,集成先进的生物测试 (体内/体外) 和奥米学,高性能高分辨率质谱 (HRMS) 配置,以及对毒性物质验证的数据驱动方法.
- 强调需要在生物测试和化学分析之间建立更好的联系.
主要成果:
- 目前的EDA受限于提取不足,生物测试终点有限,化学分析覆盖范围有限,生物测试和化学分析之间的整合性差.
- 拟议的进展旨在克服这些局限性,以便更有效地识别有毒物质.
结论:
- 未来的EDA应该整合大数据和人工智能,利用定量运算,高级分成和超高性能MS.
- 这些综合方法将加强对环境危险因素的识别,以改善环境治理.
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