Cited by 117Per- and polyfluoroalkyl substances researchWater Treatment and DisinfectionFluoride Effects and Removal

Per- and polyfluoralkyl substances (PFAS) in drinking water system: Target and non-target screening and removal assessment

Open access
Wang, Yu-Qing, Hu, Li-Xin, Liu, Ting, Zhao, Jia-Hui, Yang, Yuan-Yuan, Liu, You-Sheng, Ying, Guang-Guo·2022·Environment International

Abstract

The massive use and the persistence of per- and polyfluoroalkyl substances (PFAS) have led to their frequent detection in aquatic environments, which may further threaten drinking water safety. So far, our knowledge about the occurrence of PFAS in drinking water system is still very limited. Here we investigated the occurrence and removal of PFAS in a drinking water system using non-target, suspect and target screening strategies. Sampling was performed in three seasons in the drinking water system including a water source, two drinking water treatment plants, and tap water in five households. The results showed detection of 17 homologous series with 51 homologues in non-target screening and 50 potential PFAS detected in suspect screening. Probable structures were proposed for 15 PFAS with high confidence levels (the first three of the five levels), with seven of them being reported for the first time in drinking water system. Semi-quantification was performed on seven homologous series based on target PFAS, the estimated total concentrations for non-target PFAS ranged between 4.10 and 17.6 ng/L. Nine out of 50 target PFAS were found and precisely quantified (<LOQ-13.4 ng/L) with predominance of perfluorocarboxylic acids (PFCA) and perfluorosulfonic acids (PFSA). All target and non-target PFAS were detected in tap water with similar concentrations in all three seasons. Removal efficiency for the detected PFAS in each processing unit was almost zero, indicating the recalcitrance of these chemicals to the conventional treatment process. The findings from this study clearly show the wide presence of PFAS in the whole drinking water treatment process, and suggest an urgent need for effective removal technology for this group of chemicals.

Integrity signals

Registry

Crossref · 10.1016/j.envint.2022.107219

Cites

11 of 11 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

Flagged first, then by citations

Authors
Wang, Y.-Q., Hu, L.-X., Liu, T., Zhao, J.-H., Yang, Y.-Y., Liu, Y.-S., & Ying, G.-G.
Affiliations
South China Normal University (CN)
Corresponding author
  • Hu, Li-Xin
  • Ying, Guang-Guo
Venue
Environment International
Publisher
Elsevier BV
Published
2022-05
Volume
163
Pages
107219
ISSN
0160-4120 (ISSN-L)
OpenAlex
W4221033875
Cited by
117
References
11
Citations by year
2026: 25 · 2025: 30 · 2024: 33 · 2023: 26 · 2022: 3
FWCI
8.15
Type
journal article
Language
en
Open access
Locations
  • Environment International (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
Funders
National Natural Science Foundation of China (2019B030301008, U1701242, NSFC U1701242)
Topics
  • Physical Sciences › Environmental Science › Environmental Chemistry › Per- and polyfluoroalkyl substances research
  • Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Water Treatment and Disinfection
  • Physical Sciences › Environmental Science › Water Science and Technology › Fluoride Effects and Removal
Keywords
per- and polyfluoroalkyl substances, PFAS, drinking water, PFAS removal, non-target screening, suspect screening, target screening, homologous series, drinking water treatment plant, tap water
MeSH terms
Fluorocarbons, Research, Water Pollutants, Chemical, Water Purification, Drinking Water

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review