Advancing PFASs monitoring in food: from targeted SPE-LC-MS/MS to non-targeted QuEChERS-LC-HRMS approaches
- PMID: 40606748
- PMCID: PMC12221523
- DOI: 10.1016/j.fochx.2025.102674
Advancing PFASs monitoring in food: from targeted SPE-LC-MS/MS to non-targeted QuEChERS-LC-HRMS approaches
Abstract
Per- and polyfluoroalkyl substances (PFASs) are increasingly recognized as emerging contaminants, with some classified as persistent organic pollutants (POPs) and four recently regulated in food in the EU. However, due to the large structural diversity of PFASs, comprehensive monitoring remains essential. This study aimed to develop and apply a suspect and non-targeted screening approach to identify PFASs beyond those conventionally monitored in foodstuffs. The methodology combined optimized QuEChERS sample preparation, LC-HRMS acquisition, and prioritization of fluorinated signals, applying both suspect screening (SS) and non-targeted screening (NTS) strategies. Compared to targeted solid-phase extraction (SPE) coupled with MS/MS (QqQ) acquisition, this approach detected a broader range of PFASs in various food samples. Notably, as one of the first studies to apply NTS-a method typically used in environmental analysis-to food, it demonstrated the ability to detect both known and previously unlisted PFASs, such as PFPrA in an egg sample. This expanded approach enhances exposure assessment and supports the implementation of HRMS-based strategies for regulatory control and risk assessment.
Keywords: NTS; PFASs; QuEChERS; Sample preparation.
© 2025 The Authors.
Conflict of interest statement
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
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References
-
- Abunada Z., Alazaiza M.Y.D., Bashir M.J.K. An overview of per- and Polyfluoroalkyl substances (PFAS) in the environment: Source, fate, risk and regulations. Water. 2020;12 doi: 10.3390/w12123590. - DOI
-
- Acosta-Dacal A., Rial-Berriel C., Díaz-Díaz R., Bernal Suárez M.M., Zumbado M., Henríquez-Hernández L.A., Luzardo O.P. Supporting dataset on the optimization and validation of a QuEChERS-based method for the determination of 218 pesticide residues in clay loam soil. Data in Brief. 2020;33 doi: 10.1016/j.dib.2020.106393. - DOI - PMC - PubMed
-
- Adams K.J., Pratt B., Bose N., Dubois L.G., St. John-Williams L., Perrott K.M., Ky K., Kapahi P., Sharma V., MacCoss M.J., Moseley M.A., Colton C.A., MacLean B.X., Schilling B., Thompson J.W. Skyline for small molecules: A unifying software package for quantitative metabolomics. Journal of Proteome Research. 2020;19:1447–1458. doi: 10.1021/acs.jproteome.9b00640. - DOI - PMC - PubMed
-
- Amziane A., Monteau F., El Djalil Lalaouna A., Alamir B., Le Bizec B., Dervilly G. Optimization and validation of a fast supercritical fluid chromatography tandem mass spectrometry method for the quantitative determination of a large set of PFASs in food matrices and human milk. Journal of Chromatography B. 2022;1210 doi: 10.1016/j.jchromb.2022.123455. - DOI - PubMed
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