Data-independent acquisition with ion mobility mass spectrometry for suspect screening of per- and polyfluoroalkyl substances in environmental water samples
Abstract
Per- and polyfluoroalkyl substances (PFASs) have environmentally persistent, and the various types of PFASs have been detected in water environments. Many previous studies have performed data-dependent acquisition (DDA) of mass spectra from an environmental sample by high-resolution mass spectrometry to identify PFAS suspects individually. In comparison, the data-independent acquisition (DIA) of comprehensive mass spectra of the sample is a technology which enables to know the occurrences of suspects and non-targets simultaneously. However, it is difficult to associate the fragment ions of targeted precursor ions by retention time only, because of the existence of co-eluting ions derived from environmental samples. Since the separation of ions is not enough with only the conventional DIA method, here, we attempted to support it using ion mobility mass spectrometry (IMS) to distinguish the relevant ions from co-eluting ions by drift time. Firstly, suspect screening of PFASs with eternal database resulted in determining 32-96 PFAS suspects in firefighting foam impacted groundwater samples (n = 8) by suspect screening. Among all the pairs of respective precursor ions and fragment ions of the PFAS suspects, 5%-19% (4-9 PFASs) of them were associated without considering the drift time of IMS, while 37%-49% (15-43 PFASs) of them were associated with considering the drift time. The consideration of the drift time increased the association ratios in all samples. In a sample, most pre…
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LC-HRMS and GC-HRMS are increasingly used for SSA and NTA, enabling tentative identification of unknown or emerging PFAS based on accurate mass, retention time, and fragmentation patterns.
“High-resolution techniques such as LC–HRMS and GC–HRMS are increasingly used for SSA and NTA, enabling tentative identification of unknown or emerging PFAS based on accurate mass, retention time, and fragmentation patterns [15].”
From Integrated Targeted and Suspect Screening Workflow for Identifying PFAS of Concern in Urban-Impacted Serbian Rivers (2026) · cites this paper as [15]
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Worldwide Distribution of Novel Perfluoroether Carboxylic and Sulfonic Acids in Surface Water
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Antić, I., Buljovčić, M., Cochran, R. E., Živančev, J., Llorca, M., Farré, M., Rakić, D., Tautenhahn, R., & Đurišić-Mladenović, N. (2026) · Toxics · doi:10.3390/toxics14010078 · Cited by 3 · see citing works
“High-resolution techniques such as LC–HRMS and GC–HRMS are increasingly used for SSA and NTA, enabling tentative identification of unknown or emerging PFAS based on accurate mass, retention time, and fragmentation patterns [15].”
- Authors
- Yukioka, S., Tanaka, S., Suzuki, Y., Echigo, S., & Fujii, S.
- Affiliations
- Kyoto University (JP)
- Corresponding author
- Yukioka, Satoru
- Venue
- Journal of Chromatography A
- Publisher
- Elsevier BV
- Published
- 2021-02
- Volume
- 1638
- Pages
- 461899
- ISSN
- 0021-9673 (ISSN-L)
- OpenAlex
- W3120205916
- Cited by
- 22
- References
- 3
- Citations by year
- 2026: 3 · 2025: 5 · 2024: 1 · 2023: 6 · 2022: 5 · 2021: 2
- FWCI
- 1.32
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Journal of Chromatography A (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Japan Society for the Promotion of Science (18J13848)
- Topics
- Physical Sciences › Environmental Science › Environmental Chemistry › Per- and polyfluoroalkyl substances research
- Physical Sciences › Chemistry › Spectroscopy › Mass Spectrometry Techniques and Applications
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Metabolomics and Mass Spectrometry Studies
- Keywords
- per- and polyfluoroalkyl substances, data-independent acquisition, ion mobility mass spectrometry, drift time, firefighting foam, groundwater contamination, environmental water samples, non-target screening
- MeSH terms
- Ion Mobility Spectrometry, Fluorocarbons, Image Processing, Computer-Assisted, Water Pollutants, Chemical, Tandem Mass Spectrometry, Groundwater
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