Cited by 94Per- and polyfluoroalkyl substances researchFluorine in Organic ChemistryMass Spectrometry Techniques and Applications

Analytical methodology for identification of novel per- and polyfluoroalkyl substances in the environment

Open access
Ruan, Ting, Jiang, Guibin·2017·TrAC Trends in Analytical Chemistry

Integrity signals

Registry

Crossref · 10.1016/j.trac.2017.07.024

Cites

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  • Thanks to improvements in HRMS performance, identification of as-yet-unknown PFAS by non-target analysis has become one of the main streams of PFAS research.

    “Thanks to improvements in HRMS performance, identification of as-yet-unknown PFAS by non-target analysis has become one of the main streams of PFAS research [8,9,91].”

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References 55 · Cited by 94

Authors
Ruan, T., & Jiang, G.
Affiliations
Chinese Academy of Sciences (CN)
Corresponding author
Jiang, Guibin
Venue
TrAC Trends in Analytical Chemistry
Publisher
Elsevier BV
Published
2017-10
Volume
95
Pages
122-131
ISSN
0165-9936 (ISSN-L)
OpenAlex
W2746103471
Cited by
94
References
55
Citations by year
2026: 4 · 2025: 9 · 2024: 10 · 2023: 14 · 2022: 13 · 2021: 13 · 2020: 15 · 2019: 14 · 2018: 2
FWCI
4.99
Type
journal article
Language
en
Open access
Locations
  • TrAC Trends in Analytical Chemistry (publishedVersion)
  • Research Center for Eco-Environmental Sciences OpenIR (Chinese Academy of Sciences) (submittedVersion, cc-by-nc-sa)
Funders
  • National Natural Science Foundation (21622705, 21361140359, 21577151, 21621064)
  • Youth Innovation Promotion Association CAS
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 › Spectroscopy › Mass Spectrometry Techniques and Applications
Keywords
per- and polyfluoroalkyl substances, organofluorine compounds, high-resolution mass spectrometry, chemical recognition, data mining, environmental pollutants, biological matrices

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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.

Statistics and arithmetic are recomputed, not judged.

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