Updated Guidance for Communicating PFAS Identification Confidence with Ion Mobility Spectrometry
Anna K Boatman1, Jessie R Chappel2,3,4, Kaylie I Kirkwood-Donelson5
1Department of Chemistry, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27514, USA.
Biorxiv : the Preprint Server for Biology
|February 20, 2025
Summary
Global contamination from per- and polyfluoroalkyl substances (PFAS) is widespread. This study proposes unified confidence levels for reporting identified PFAS using advanced analytical methods, improving consistency in environmental and human health research.
Area of Science:
- Environmental Chemistry
- Analytical Chemistry
- Toxicology
Background:
- Per- and polyfluoroalkyl substances (PFAS) are globally detected in various matrices, including consumer products, human blood, and drinking water.
- Non-targeted analyses (NTA) are increasingly used to identify PFAS in environmental and biological samples.
- Current methods for reporting identified PFAS lack consistency, hindering comprehensive understanding.
Purpose of the Study:
- To investigate current practices for reporting confidence levels of PFAS identified by LC-GC-IMS-HRMS.
- To propose a unified and automated confidence level guidance for PFAS identification.
- To incorporate PFAS-specific attributes and ion mobility spectrometry collision cross section (CCS) values into the proposed guidance.
Main Methods:
- Review of current practices for PFAS confidence level reporting.
- Development of a unified confidence level framework.
- Integration of PFAS-specific attributes and CCS values from ion mobility spectrometry (IMS) coupled with high-resolution mass spectrometry (HRMS).
Main Results:
- Identified inconsistencies in current PFAS reporting practices.
- Proposed a simplified, unified confidence level guidance system.
- Demonstrated the utility of incorporating CCS values for enhanced PFAS identification.
Conclusions:
- A unified confidence level system is crucial for consistent PFAS reporting.
- The proposed guidance enhances objectivity and reliability in PFAS identification.
- This framework supports more accurate environmental and human health risk assessments related to PFAS contamination.
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