FluoroMatch 2.0-making automated and comprehensive non-targeted PFAS annotation a reality
Jeremy P Koelmel1, Paul Stelben1, Carrie A McDonough2
1School of Public Health, Yale University, New Haven, CT, USA.
Analytical and Bioanalytical Chemistry
|May 20, 2021
Summary
A new software, FluoroMatch Flow 2.0, enhances the discovery of per- and polyfluoroalkyl substances (PFAS) in environmental samples. This tool significantly improves the identification of known and novel PFAS, aiding in understanding contamination and health risks.
Area of Science:
- Environmental Chemistry
- Analytical Chemistry
- Toxicology
Background:
- Per- and polyfluoroalkyl substances (PFAS) are pervasive, persistent, and toxic, raising significant concerns about environmental contamination, human exposure, and health effects.
- The vast number of known PFAS (nearly 10,000) and the continuous discovery of new ones necessitate advanced analytical methods for comprehensive detection and characterization.
- Existing non-targeted PFAS analysis methods are often manual, time-consuming, error-prone, and lack completeness, hindering effective scope assessment and remediation efforts.
Purpose of the Study:
- To introduce FluoroMatch Flow 2.0, the first software designed for end-to-end data processing for PFAS discovery using liquid chromatography-high-resolution tandem mass spectrometry (LC-HR-MS/MS).
- To enable comprehensive detection and characterization of both known and previously uncatalogued PFAS in complex environmental and biological samples.
- To improve the accuracy and efficiency of PFAS analysis, reducing manual curation and overreporting of false positives.
Main Methods:
- Development and implementation of FluoroMatch Flow 2.0 software, integrating multiple data processing steps: feature detection, blank filtering, exact mass matching, mass defect filtering, homologous series detection, retention time analysis, class-based MS/MS screening, fragment screening, and predicted MS/MS.
- Inclusion of a confidence level criterion to assess annotation certainty by integrating diverse evidence layers.
- Application of the software to analyze aqueous film-forming foam (AFFF) samples.
Main Results:
- Discovery of over one thousand likely PFAS in AFFF samples, including previously unreported species.
- Effective filtering of 96% of features identified as likely not PFAS, significantly reducing false positives.
- A tenfold increase in the coverage of likely PFAS compared to the previous software release (FluoroMatch Flow).
Conclusions:
- FluoroMatch Flow 2.0 represents a significant advancement in PFAS analytical capabilities, offering a comprehensive and efficient solution for PFAS discovery.
- The software empowers researchers to better characterize PFAS contamination in environmental and biological systems, facilitating informed regulatory and remediation strategies.
- Enhanced PFAS identification and characterization are crucial for addressing the global challenge posed by these persistent chemicals.
Keywords:
Aqueous film forming foamLiquid chromatographyMass spectrometryNon-targeted analysisPFASSoftware

