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PFAS幽灵:如何识别,评估和驱除新的和现有的分析干扰

Jacqueline Bangma¹, Kitrina M Barry², Christine M Fisher³

¹Center for Environmental Measurement and Modeling, US Environmental Protection Agency, Durham, USA. Bangma.jacqueline@epa.gov.

Analytical and bioanalytical chemistry

|January 27, 2024

概括

随着对聚烯基物质 (PFAS) 的认识日益增加,研究人员正在解决分析性干预. 这项研究为PFAS干预创建了一个公共数据集,并提供了识别和消除的指导.

科学领域:

环境科学环境科学
分析化学分析化学
毒理学毒理学毒理学

背景情况:

越来越多的公众对和多基物质 (PFAS) 的认识导致了全球监测研究的增加.
在各种生物和环境矩阵中检测到PFAS,因此需要精确的分析测量.
矩阵干扰物可能错误地表现为PFAS,造成分析挑战并影响风险评估.

研究的目的:

建立已知PFAS分析干扰物的公开可访问的数据集.
为了促进这一数据集的扩展,随着新干扰物被确定.
为识别和消除PFAS分析中的分析干扰提供指导.

主要方法:

编制了对已识别的PFAS分析干扰物的综合数据集.
审查现有的文献和用于检测PFAS的分析方法.
开发干扰识别和减轻干扰的战略.

主要成果:

已经创建了一个已知的PFAS分析干扰物的基础数据集.
该数据集旨在随着研究的进展而不断扩展.
提供了针对处理干扰的分析最佳实践的建议.

结论:

准确的PFAS测量对于有关人类和环境健康的知情决策至关重要.
解决分析干扰对于PFAS监测研究的可靠性至关重要.
开发的数据集和指导将支持科学界改善PFAS分析.

关键词:

分析方法分析方法干扰干扰干扰方法开发方法的开发方法.在PFAS中,有很多方法.

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