ArticleAnalytical and bioanalytical chemistry2024
Comparison of high-resolution mass spectrometry acquisition methods for the simultaneous quantification and identification of per- and polyfluoroalkyl substances (PFAS).
Article in Analytical and bioanalytical chemistry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The trial behind it
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Who cites it
4 citing papers in PubMed.
- PFAS in the Urban Atmosphere Detected with I‑CIMS and LC-ESI Orbitrap Mass Spectrometer.ACS ES&T air · 2026Article
- The PFAS roadmap-Navigating a path together to improved management.Sustainability science and technology · 2026Article
- Unusual Fragmentations of Silylated Polyfluoroalkyl Compounds Induced by Electron Ionization.Journal of the American Society for Mass Spectrometry · 2025Article
- Development and validation of the UHPLC-MS/MS method for the quantitative determination of 25 PFAS in dried blood spots.Analytical and bioanalytical chemistry · 2024Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Simultaneous identification and quantification of per- and polyfluoroalkyl substances (PFAS) were evaluated for three quadrupole time-of-flight mass spectrometry (QTOF) acquisition methods. The acquisition methods investigated were MS-Only, all ion fragmentation (All-Ions), and automated tandem mass spectrometry (Auto-MS/MS). Target analytes were the 25 PFAS of US EPA Method 533 and the acquisition methods were evaluated by analyte response, limit of quantification (LOQ), accuracy, precision, and target-suspect screening identification limit (IL). PFAS LOQs were consistent across acquisition methods, with individual PFAS LOQs within an order of magnitude. The mean and range for MS-Only, All-Ions, and Auto-MS/MS are 1.3 (0.34-5.1), 2.1 (0.49-5.1), and 1.5 (0.20-5.1) pg on column. For fast data processing and tentative identification with lower confidence, MS-Only is recommended; however, this can lead to false-positives. Where high-confidence identification, structural characterisation, and quantification are desired, Auto-MS/MS is recommended; however, cycle time should be considered where many compounds are anticipated to be present. For comprehensive screening workflows and sample archiving, All-Ions is recommended, facilitating both quantification and retrospective analysis. This study validated HRMS acquisition approaches for quantification (based upon precursor data) and exploration of identification workflows for a range of PFAS compounds.
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