Smolinski Rachel, Koelmel Jeremy P, Stelben Paul, Weil David, Godri David, Schiessel David, Kummer Michael, Stow Sarah M, Mohsin Sheher, Royer Lauren, McKenzie-Coe Alan, Lubinsky Thomas, DeBord Daniel, Chevallier Olivier, Rennie Emma E, Godri Pollitt Krystal J, McDonough Carrie
Department of Chemistry, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213, United States.
Department of Environmental Health Science, Yale School of Public Health, New Haven, Connecticut 06520, United States.
Environ Sci Technol. 2025 Apr 8;59(13):6636-6648. doi: 10.1021/acs.est.4c13846. Epub 2025 Mar 25.
Per- and polyfluoroalkyl substances (PFASs) are often present in complex mixtures at trace levels in environmental samples, posing difficulties for analytical chemists. Ion mobility offers highly replicable identifiers, enabling the use of community-based libraries for PFAS annotation in nontargeted analysis. Currently, limited software exists to leverage the capabilities of liquid chromatography ion mobility high-resolution mass spectrometry (LC-IM-HRMS) for nontargeted analysis. FluoroMatch IM is a free vendor-neutral open-source tool for rapid annotation of PFASs in LC-IM-HRMS datasets. Annotation algorithms include collision cross-section (CCS) matching, formula prediction, homologous series detection, mass defect filtering, and accurate mass matching with a database of 194 PFAS ions that can be continuously expanded by the community. Results from FluoroMatch IM were compared to a targeted approach with a laboratory-prepared mixture of 63 PFASs and real wastewater samples. A nontarget workflow incorporating FluoroMatch IM revealed additional likely PFASs ( = 16) while confirming most targeted annotations (11/12) in wastewater samples. Validation of the standard mix showed a low false negative rate of 5% and a 5% false positive rate for features included in the CCS library, with a 0% false positive rate for features assigned confident scores. This study demonstrates the promise of FluoroMatch IM for streamlining PFAS analysis workflows.
全氟和多氟烷基物质(PFASs)在环境样品中通常以痕量水平存在于复杂混合物中,这给分析化学家带来了困难。离子淌度提供了高度可重复的标识符,使得在非靶向分析中能够使用基于社区的库对PFASs进行注释。目前,利用液相色谱离子淌度高分辨率质谱(LC-IM-HRMS)进行非靶向分析的软件有限。FluoroMatch IM是一个免费的、供应商中立的开源工具,用于快速注释LC-IM-HRMS数据集中的PFASs。注释算法包括碰撞截面积(CCS)匹配、分子式预测、同系物系列检测、质量缺陷过滤以及与一个包含194种PFAS离子的数据库进行精确质量匹配,该数据库可由社区持续扩展。将FluoroMatch IM的结果与一种靶向方法进行了比较,该靶向方法使用了实验室制备的63种PFASs混合物和实际废水样品。一个包含FluoroMatch IM的非靶向工作流程在确认废水样品中大多数靶向注释(11/12)的同时,还揭示了另外16种可能的PFASs。标准混合物的验证显示,CCS库中包含的特征的假阴性率低至5%,假阳性率为5%,而被赋予置信分数的特征的假阳性率为0%。这项研究证明了FluoroMatch IM在简化PFAS分析工作流程方面的前景。