Cited by 121Per- and polyfluoroalkyl substances researchToxic Organic Pollutants ImpactFluorine in Organic Chemistry

Integration of target, suspect, and nontarget screening with risk modeling for per- and polyfluoroalkyl substances prioritization in surface waters

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Hu, Jingrun, Lyu, Yitao, Chen, Huan, Cai, Leilei, Li, Jie, Cao, Xiaoqiang, Sun, Weiling·2023·Water Research

Abstract

Though thousands of per- and polyfluoroalkyl substances (PFAS) have been on the global market, most research focused on only a small fraction, potentially resulting in underestimated environmental risks. Here, we used complementary target, suspect, and nontarget screening for quantifying and identifying the target and nontarget PFAS, respectively, and developed a risk model considering their specific properties to prioritize the PFAS in surface waters. Thirty-three PFAS were identified in surface water in the Chaobai river, Beijing. The suspect and nontarget screening by Orbitrap displayed a sensitivity of > 77%, indicating its good performance in identifying the PFAS in samples. We used triple quadrupole (QqQ) under multiple-reaction monitoring for quantifying PFAS with authentic standards due to its potentially high sensitivity. To quantify the nontarget PFAS without authentic standards, we trained a random forest regression model which presented the differences up to only 2.7 times between measured and predicted response factors (RFs). The maximum/minimum RF in each PFAS class was as high as 1.2-10.0 in Orbitrap and 1.7-22.3 in QqQ. A risk-based prioritization approach was developed to rank the identified PFAS, and four PFAS (i.e., perfluorooctanoic acid, hydrogenated perfluorohexanoic acid, bistriflimide, 6:2 fluorotelomer carboxylic acid) were flagged with high priority (risk index > 0.1) for remediation and management. Our study highlighted the importance of a quantific…

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Crossref · 10.1016/j.watres.2023.119735

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Authors
Hu, J., Lyu, Y., Chen, H., Cai, L., Li, J., Cao, X., & Sun, W.
Affiliations
  • Peking University (CN)
  • Clemson University (US)
  • Shandong University of Science and Technology (CN)
Corresponding author
  • Chen, Huan
  • Sun, Weiling
Venue
Water Research
Publisher
Elsevier BV
Published
2023-04
Volume
233
Pages
119735
ISSN
0043-1354 (ISSN-L)
OpenAlex
W4320084957
Cited by
121
References
8
Citations by year
2026: 43 · 2025: 47 · 2024: 26 · 2023: 5
FWCI
10.43
Type
journal article
Language
en
Open access
Locations
  • Water Research (acceptedVersion)
  • PubMed (publishedVersion)
Funders
  • National Natural Science Foundation of China (51925901)
  • National Key Research and Development Program of China (2021YFC3200901)
  • U.S. Department of Agriculture
  • National Institute of Food and Agriculture (2021-67019-33682)
Topics
  • Physical Sciences › Environmental Science › Environmental Chemistry › Per- and polyfluoroalkyl substances research
  • Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Toxic Organic Pollutants Impact
  • Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Pharmaceutical Science › Fluorine in Organic Chemistry
Keywords
per- and polyfluoroalkyl substances, PFAS, non-target screening, suspect screening, target screening, surface water contamination, risk-based prioritization, random forest regression, Orbitrap mass spectrometry, perfluorooctanoic acid, fluorotelomer carboxylic acids, Chaobai River
MeSH terms
Beijing, Carboxylic Acids, Fluorocarbons, Water, Water Pollutants, Chemical

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