FluoroMatch IM:一种通过离子移动光谱学分析PFAS的交互软件
Rachel Smolinski1, Jeremy P Koelmel2, Paul Stelben2
1Department of Chemistry, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, United States.
Environmental science & technology
|March 25, 2025
概括
一个新的开源软件,FluoroMatch IM,有助于在复杂的环境样本中识别和多基物质 (PFAS). 该工具增强了使用液态色谱离子流动性高分辨率质谱 (LC-IM-HRMS) 数据进行非目标分析的功能.
科学领域:
- 环境化学环境化学
- 分析化学 分析化学
- 质谱测量质量谱测量
背景情况:
- 和多醇基物质 (PFAS) 是普遍存在的环境污染物,通常在微量水平的复杂混合物中发现.
- 在环境样本中分析PFAS是具有挑战性的,因为它们的复杂性和低度.
- 使用液体染色学离子移动性高分辨率质谱法 (LC-IM-HRMS) 进行非目标分析的现有软件解决方案有限.
研究的目的:
- 介绍FluoroMatch IM,这是一个新的,免费的,供应商中立的开源软件工具.
- 为了在LC-IM-HRMS数据集中快速注释PFAS,以便进行非目标分析.
- 促进社区图书馆用于PFAS识别的使用.
主要方法:
- 开发和应用FluoroMatch IM软件用于LC-IM-HRMS数据分析.
- 使用注释算法,包括碰撞截面 (CCS) 匹配,公式预测,同源序列检测,质量缺陷过和精确质量匹配.
- 将FluoroMatch IM结果与使用63个PFAS和真实废水样本混合物的有针对性的方法进行比较.
主要成果:
- 在非目标化工作流程中,FluoroMatch IM在废水样本中成功识别了额外的可能的PFAS (n=16).
- 该软件在废水样本中确认了最有针对性的PFAS注释 (11/12).
- 使用标准组合的验证表明,图书馆特征的虚假负面率 (5%) 和虚假阳性率 (5%) 较低,对自信得分的虚假阳性率为0%.
结论:
- 在复杂的环境矩阵中,FluoroMatch IM有效地简化了PFAS分析.
- 该软件在提高非目标LC-IM-HRMS研究中PFAS识别的准确性和效率方面显示出显著的前景.
- 开源协作可以扩展PFAS库,增强未来的分析能力.
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