高通量效果定向分析的进展,应用和挑战,用于毒性驱动器的识别 - 是时候为HT-EDA吗?
Iker Alvarez-Mora1,2, Katarzyna Arturi3, Frederic Béen4,5
1Department of Exposure Science, Helmholtz Centre for Environmental Research, UFZ, Leipzig, Germany. iker.alvarez-mora@ufz.de.
Analytical and bioanalytical chemistry
|July 11, 2024
概括
高通量效果定向分析 (HT-EDA) 加快了环境样本中有毒化学品的识别. 本综述探讨了新的方法和计算工具,以增强HT-EDA用于更广泛的监控应用.
科学领域:
- 环境化学环境化学
- 毒理学 毒理学 毒理学
- 分析化学 分析化学
背景情况:
- 越来越多的化学品生产需要强有力的方法来评估环境和人类健康的影响.
- 高分辨率质谱 (HRMS) 可以检测到许多化合物,但在复杂的混合物中识别毒性驱动因素仍然具有挑战性.
- 以效果为导向的分析 (EDA) 结合了生物测试,分化和化学分析,以确定毒性驱动因素.
研究的目的:
- 提供对高通量效果导向分析 (HT-EDA) 方法的最新审查.
- 讨论用于加速EDA工作流程的新方法,工具和计算方法.
- 确定HT-EDA当前的局限性,并提出改善环境监测的解决方案.
主要方法:
- 对HT-EDA现有文献的审查,包括微分离,缩小生物测试和自动化.
- 在HT-EDA中讨论高性能薄层染色学 (HPTLC) 作为HPLC的替代品.
- 探索HT-EDA的计算优先级工具和数据处理工作流程.
主要成果:
- 在复杂的环境混合物中,HT-EDA显著加快了毒性驱动因素的识别.
- 集成自动化,基于微板的分成和先进的计算工具提高了HT-EDA的效率.
- 在HT-EDA中,HPTLC提供了一个可行的替代方法,可以作为微板方法的补充.
结论:
- 高频EDA对于克服传统EDA的局限性至关重要,使大规模的环境监测成为可能.
- 进一步开发计算工具和新的方法,如HPTLC集成,将推进HT-EDA的能力.
- 本综述强调了弥合当前HT-EDA与其在常规监测中的应用之间的差距的策略.
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