Cited by 133Per- and polyfluoroalkyl substances researchFluorine in Organic ChemistryAnalytical chemistry methods development

Analysis of emerging per- and polyfluoroalkyl substances: Progress and current issues

Pan, Yitao, Wang, Jinghua, Yeung, Leo W.Y., Wei, Si, Dai, Jiayin·2020·TrAC Trends in Analytical Chemistry

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Crossref · 10.1016/j.trac.2019.04.013

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67 of 67 references verified0 citation errors · 0 not checkable

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Authors
Pan, Y., Wang, J., Yeung, L. W. Y., Wei, S., & Dai, J.
Affiliations
  • Chinese Academy of Sciences (CN)
  • Örebro University (SE)
  • State Key Laboratory of Pollution Control and Resource Reuse (CN)
Corresponding author
Dai, Jiayin
Venue
TrAC Trends in Analytical Chemistry
Publisher
Elsevier BV
Published
2020-03
Volume
124
Pages
115481
ISSN
0165-9936 (ISSN-L)
OpenAlex
W2936070933
Cited by
133
References
67
Citations by year
2026: 20 · 2025: 23 · 2024: 21 · 2023: 22 · 2022: 20 · 2021: 15 · 2020: 10 · 2019: 2
FWCI
5.12
Type
journal article
Language
en
Open access
closed
Locations
TrAC Trends in Analytical Chemistry (publishedVersion)
Funders
  • National Natural Science Foundation of China (21737004)
  • Chinese Academy of Sciences (XDB14040202)
Topics
  • Physical Sciences › Environmental Science › Environmental Chemistry › Per- and polyfluoroalkyl substances research
  • Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Pharmaceutical Science › Fluorine in Organic Chemistry
  • Physical Sciences › Chemistry › Analytical Chemistry › Analytical chemistry methods development
Keywords
emerging PFASs, per- and polyfluoroalkyl substances, sample preparation, extraction methods, analytical methods, non-targeted analysis, matrix effects, in-source fragmentation, environmental occurrence

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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.

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