Integration of target, suspect, and nontarget screening with risk modeling for per- and polyfluoroalkyl substances prioritization in surface waters
•We identified 13 target and 20 nontarget PFAS in the Chaobai river.•A random forest regression model was developed to quantify nontarget PFAS.•The prediction errors of random forest regression model were ≤ 2.7 times.•The developed risk-based prioritization approach flagged 4 high risk PFAS. Though...
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Veröffentlicht in: | Water research (Oxford) 2023-04, Vol.233, p.119735-119735, Article 119735 |
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Zusammenfassung: | •We identified 13 target and 20 nontarget PFAS in the Chaobai river.•A random forest regression model was developed to quantify nontarget PFAS.•The prediction errors of random forest regression model were ≤ 2.7 times.•The developed risk-based prioritization approach flagged 4 high risk PFAS.
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 quantification strategy during environmental scrutiny of PFAS, especially for nontarget PFAS without standards.
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ISSN: | 0043-1354 1879-2448 |
DOI: | 10.1016/j.watres.2023.119735 |