High-resolution mass spectrometry (HRMS) methods for nontarget discovery and characterization of poly- and per-fluoroalkyl substances (PFASs) in environmental and human samples
Open accessAbstract
Widespread environmental contamination of legacy long-chain poly- and per-fluoroalkyl substances (PFASs) has triggered chemical regulatory action and a global transitioning to alternative PFASs. More than 5000 PFASs are now recognized on various lists, but few have been monitored despite ample evidence of unidentified organic fluorine in human and environmental samples. Nevertheless, our review of the literature indicates that nontarget analytical methods based on high-resolution mass spectrometry have been used to discover more than 750 PFASs, belonging to more than 130 diverse classes, in strategically selected environmental samples, biofluids or commercial products. Among these reports, we summarize the analytical and data-processing strategies for nontarget PFAS discovery, identify knowledge gaps and propose new areas for method development. Discovery of emerging PFASs before they are global contaminants could mitigate future contamination if strategic techniques can be developed to prioritize some of these substances for synthesis and confirmation, further monitoring, source elucidation and hazard characterization.
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AI snapshot
Written from the paper’s full text.
TL;DR
This review summarizes HRMS-based nontarget and suspect workflows for discovering and characterizing PFASs in environmental and human samples, covering sample preparation, chromatography, acquisition, data filtering, formula assignment, and structural confirmation. It reports that nontarget HRMS has revealed hundreds of previously unrecognized PFASs and highlights that most identifications remain tentative without authentic standards.
Key findings
- Nontarget HRMS studies have discovered more than 750 PFAS analytes in more than 130 classes; PFCAs, PFSAs, FTs, and PFSMs combined make up 82% of discovered PFAS classes and 74% of analytes, and the conclusions state that ~980 new PFAS analytes have been proposed in less than a decade (not considering branched isomers).
- Unknown organic fluorine is substantial: 50% to >99% in environmental samples and 15% to >99% in biological samples; in TOP assays, known PFAS precursors accounted for only 23% in urban run-off water, 3–18% in wastewater, 60% in AFFF-impacted groundwater, and 18–82% in river water.
- PFAS feature filtering commonly uses mass defect, homologous series/CF₂-normalized mass defect plots, diagnostic fluorine-containing fragments or neutral losses, and study design; RP ≥60,000 is recommended for reliable formula assignment for C,H,O,N,F,P compounds, and RP ≥100,000 to resolve the 3.37 mDa split between C₃ and H₄S.
- Most published nontarget PFAS identifications are confidence level 2–3 because authentic standards are rarely available; suspect screening databases exist, but at least 1000 of the ~5000 PFASs listed in public databases have no molecular formula and/or structural information.
Methods
- Narrative review of analytical methods and data-processing strategies for nontarget PFAS discovery by HRMS, including literature available online up to October 31, 2018.
- Surveyed published nontarget PFAS discovery studies in commercial products, environmental matrices (water, sediment, soil, airborne particulate matter, concrete), and biological matrices (fish liver, polar bear, human serum), summarized in Tables 1 and 2.
- Synthesized workflows for sample preparation, LC/GC separation, HRMS acquisition (TOF, Orbitrap, FTICR), feature filtering, molecular formula assignment, MSⁿ structural characterization, suspect screening, and confidence-level reporting.
Limitations
- Stated: many identifications remain tentative and must be followed by authentic chemical standard synthesis, further targeted and quantitative monitoring, and toxicology; most published nontarget PFAS identifications are in the confidence level 2–3 range.
- Stated: total PFAS discovery counts may be underestimated because unresolved structural isomers from electrochemical fluorination and coelution can mask distinct analytes; at least 1000 of the ~5000 PFASs in public databases lack molecular formula and/or structural information.
- Evident: as a review, it presents no new experimental data or primary validation, and the literature survey is not described as a systematic review with formal search and inclusion criteria.
Model-written summary. Check it against the paper before relying on it.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
0 of 68 cited sources checked · 0 supported · 0 flagged
- Findingnone given
The discovered PFASs include other structures such as per/polyfluoroalkyl phosphates, per/polyfluoroalkyl alcohols, per/polyfluoroalkylamides, per/polyfluoroalkyl sulfates, and N-per/polyfluoroalkyls.
“Other structures include per/polyfluoroalkyl phosphates, per/polyfluoroalkyl alcohols, per/polyfluoroalkylamides, per/polyfluoroalkyl sulfates and N-per/polyfluoroalkyls.”
Quote in the paperNot a substantial claim - Findingnone given
New PFASs are usually structurally very similar to legacy PFASs, with slight modifications including H- and Cl-substitution, ether-, thioether and double-bond/ring functionality insertion, and/or variations on non-fluorinated polar head groups.
“These new PFASs are usually of structures very similar to legacy PFASs, with slight modifications, including H-and Clsubstitution, ether-, thioether and double-bond/ring functionality insertion, and/or variations on non-fluorinated polar head groups.”
Quote in the paperNot a substantial claim - Findingnone given
In less than a decade, the scientific community has detected and proposed structures for ~980 new PFAS analytes (not considering associated branched isomers).
“in less than a decade the scientific community has detected and proposed structures for ~980 new PFAS analytes (not considering associated branched isomers) (Tables 1 and 2).”
Quote in the paperSubstantial claim - Findingreasoning
Many PFAS identifications from nontarget HRMS remain tentative.
“many identifications remain tentative”
Quote in the paperSubstantial claim - Premisecitation
High sensitivity allows detection of some trace contaminants at femtogram levels in full-scan operation.
“Other important advances include fast fullscanning rates (i.e.>1 Hz), which allows for on-line coupling to chromatography, and high sensitivity, thereby allowing detection of some trace contaminants at femtogram levels in full-scan operation.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [24] Krauss, 2010, LC-high resolution MS in environmental analysis: from target screening to the identification of unknowns, Anal. Bioanal. Chem. source
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- Premisecitation
Significant proportions of unidentified organic fluorine are reported in biological samples, ranging from 15% to more than 99%.
“In mass balance studies of total fluorine content, significant proportions of unidentified organic fluorine are reported in environmental (50% to !99% [12e14]) and biological samples (15% to !99%) [15e17].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [15e17]
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- Interpretationreasoning
Alternative and legacy PFASs together pose health risks to the environment and to humans.
“Thus, alternative and legacy PFASs together pose health risks to the environment and to humans.”
Quote in the paperSubstantial claim - Premisecitation
Modern advances in full-scan high-resolution mass spectrometry (HRMS) instrumentation open the possibility to unknown chemical discovery without a priori hypotheses or authentic standards.
“Modern advances in full-scan high-resolution mass spectrometry (HRMS) instrumentation open the possibility to unknown chemical discovery without a priori hypotheses or authentic standards [24].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [24] Krauss, 2010, LC-high resolution MS in environmental analysis: from target screening to the identification of unknowns, Anal. Bioanal. Chem. source
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- Premisecitation
Highly fluorinated alternatives may not be less bioaccumulative than intended.
“Information remains limited, but some existing studies have already suggested that these highly fluorinated alternatives may not be less persistent [9], less bioaccumulative [10] nor less toxic [11] as intended [9].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [10] Olsen, 2007, Half-life of serum elimination of perfluorooctanesulfonate, perfluorohexanesulfonate and perfluorooctanoate in retired fluorochemical production workers, Environ. Health Perspect. source
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- Premisecitation
Among recent contaminant discoveries, some are PFAA-precursors that could contribute to environmental PFAA exposure for years to come.
“Among such recent contaminant discoveries, some are PFAA-precursors (e.g.perfluorooctaneamido quaternary ammonium salt [32]) that could contribute to environmental PFAA exposure for years to come [45], some are legacy substances likely present in the environment for more than 40 years already (e.g.chlorinated perfluoroether sulfonates [42]), while others are likely new current-use alternatives (e.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [32] Xiao, 2017, Identification of novel non-ionic, cationic, zwitterionic, and anionic polyfluoroalkyl substances using UPLC-TOF-MSE high-resolution parent ion search, Anal. Chim. Acta source
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- cites [45] Mejia-Avendano, 2016, Generation of perfluoroalkyl acids from aerobic biotransformation of quaternary ammonium polyfluoroalkyl surfactants, Environ. Sci. Technol. source
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- Premisecitation
High mass accuracy allows prediction of molecular formulas for spectral peaks.
“This is largely thanks to a combination of higher mass spectral resolving power (RP), which reduces interferences and may reveal minor features, and high mass accuracy, which allows prediction of molecular formulas for the spectral peaks.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [24] Krauss, 2010, LC-high resolution MS in environmental analysis: from target screening to the identification of unknowns, Anal. Bioanal. Chem. source
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- Premisecitation
Highly fluorinated alternatives may not be less toxic than intended.
“Information remains limited, but some existing studies have already suggested that these highly fluorinated alternatives may not be less persistent [9], less bioaccumulative [10] nor less toxic [11] as intended [9].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [11] Gomis, 2018, Comparing the toxic potency in vivo of long-chain perfluoroalkyl acids and fluorinated alternatives, Environ. Int. source
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- Interpretationreasoning
Unknown PFASs, including new alternatives or legacy substances, their transformation products or residual impurities, may contribute to a substantial proportion of unknown organic fluorine in the environment.
“Unknown PFASs, including new alternatives or legacy substances, their transformation products or residual impurities may contribute to a substantial proportion of unknown organic fluorine in the environment.”
Quote in the paperSubstantial claim - Premisecitation
Some recent discoveries are likely new current-use alternatives under large-scale production today despite ongoing scrutiny of their high potential for global distribution and health risks.
“Among such recent contaminant discoveries, some are PFAA-precursors (e.g.perfluorooctaneamido quaternary ammonium salt [32]) that could contribute to environmental PFAA exposure for years to come [45], some are legacy substances likely present in the environment for more than 40 years already (e.g.chlorinated perfluoroether sulfonates [42]), while others are likely new current-use alternatives (e.”
Quote in the paperNot a substantial claim0 of 4 sources checked- cites [35] Strynar, 2015, Identification of novel perfluoroalkyl ether carboxylic acids (PFECAs) and sulfonic Acids (PFESAs) in natural waters using accurate mass time-of-flight mass spectrometry (TOFMS), Environ. Sci. Technol. source
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- cites [37] Gebbink, 2017, Presence of emerging per- and polyfluoroalkyl substances (PFASs) in river and drinking water near a fluorochemical production plant in The Netherlands, Environ. Sci. Technol. source
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- cites [46] Cousins, 2015, Comment on "fluorotechnology is critical to modern life: the FluoroCouncil counterpoint to the madrid statement", Environ. Health Perspect. source
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- cites [47] Wang, 2013, Fluorinated alternatives to long-chain perfluoroalkyl carboxylic acids (PFCAs), perfluoroalkane sulfonic acids (PFSAs) and their potential precursors, Environ. Int. source
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- Premisecitation
Many reports of nontarget PFAS discovery have directly applied the same solid phase extraction methods used previously in targeted PFAS analysis, or with only minor modifications.
“For example, many reports of nontarget PFAS discovery have directly applied the same solid phase extraction (SPE) methods used previously in targeted PFAS analysis, or with only minor modifications [35e38,42].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [35e38,42]
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- Premisecitation
Highly fluorinated alternatives may not be less persistent than intended.
“Information remains limited, but some existing studies have already suggested that these highly fluorinated alternatives may not be less persistent [9], less bioaccumulative [10] nor less toxic [11] as intended [9].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [9] Wang, 2015, Hazard assessment of fluorinated alternatives to long-chain perfluoroalkyl acids (PFAAs) and their precursors: status quo, ongoing challenges and possible solutions, Environ. Int. source
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- Interpretationreasoning
These unknowns represent a great source of uncertainty for ascertaining environmental and human health risks.
“These unknowns represent a great source of uncertainty for ascertaining environmental and human health risks.”
Quote in the paperNot a substantial claim - Premisereasoning
Hundreds of new or unexpected PFASs have been revealed by nontarget HRMS.
“In this way, hundreds of new or unexpected PFASs have been revealed (Table 1).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites Table 1
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- Premisecitation
Since 2010, unknown PFAS discovery has been reported in commercial products, environmental samples, and biological matrices.
“Since 2010 there have been reports of unknown PFAS discovery in commercial products (e.g.aqueous film-forming foams (AFFFs) [29e31], surfactant concentrates [30e33]), in environmental samples (e.g.water [34e39], sediment [38], soil [40], airborne particulate matter [41] and concrete [40]) and in biological matrices (e.g.fish liver [42], polar bear [43] and human serum [44]).”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [29e31]
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- cites [34e39]
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- cites [42] Liu, 2018, Nontarget mass spectrometry reveals new perfluoroalkyl substances in fish from the Yangtze River and Tangxun Lake, China, Environ. Sci. Technol. source
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- Premisecitation
The perfluoroalkyl moiety of PFAS molecules leads to environmental persistence.
“The perfluoroalkyl moeity of these molecules leads to environmental persistence [3]”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [3] NICNAC, 2015
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- Premisecitation
Significant proportions of unidentified organic fluorine are reported in environmental samples, ranging from 50% to more than 99%.
“In mass balance studies of total fluorine content, significant proportions of unidentified organic fluorine are reported in environmental (50% to !99% [12e14]) and biological samples (15% to !99%) [15e17].”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [12e14]
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- Premisecitation
In total oxidizable precursor (TOP) assays, known PFAS precursors usually account for only a portion of the PFAAs produced by oxidation.
“In the total oxidizable precursors (TOP) assays [18e21] where PFASs are oxidized to PFAAs and PFAA concentrations before and after oxidation are determined, known PFAS precursors usually only account for a portion of the produced PFAAs (e.g.23% in urban run-off water [18], 3e18% in wastewater [19], 60% in AFFF-impacted groundwater [21] and 18e82% in river water [20]).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [18e21]
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- Premisecitation
Mixed-mode weak anion exchange (WAX) and hydrophilic-lipophilic balanced reversed-phase (HLB) are the two common off-line SPE sorbent materials used.
“Mixed-mode weak anion exchange (WAX) [35e37,42] and hydrophilic-lipophilic balanced reversed-phase (HLB) [38] are the two common off-line SPE sorbent materials used.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [35e37,42]
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- cites [38] Lin, 2017, Identification of novel hydrogen-substituted polyfluoroalkyl ether sulfonates in environmental matrices near metal-plating facilities, Environ. Sci. Technol. source
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- Premisecitation
Traditional long-chain PFAAs and their diverse precursors continue to be produced and used in exempted applications.
“Moreover, traditional long-chain PFAAs and their diverse precursors continue to be produced and used in a long list of exempted applications [7].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [7] Stockholm-Convention, 2009
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- Premisecitation
Fast full-scanning rates greater than 1 Hz allow on-line coupling to chromatography.
“Other important advances include fast fullscanning rates (i.e.>1 Hz), which allows for on-line coupling to chromatography, and high sensitivity, thereby allowing detection of some trace contaminants at femtogram levels in full-scan operation.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [24] Krauss, 2010, LC-high resolution MS in environmental analysis: from target screening to the identification of unknowns, Anal. Bioanal. Chem. source
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- Premisecitation
More than 5000 PFASs are known in all available databases.
“With many other known PFASs (e.g.>5000 [23])”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [23] USEPA, 2018
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- Interpretationreasoning
The application of HRMS in nontarget PFAS discovery has significantly deepened our understanding of current environmental and human PFAS exposures.
“While the application of HRMS in nontarget PFAS discovery has significantly deepened our understanding of current environmental and human PFAS exposures”
Quote in the paperSubstantial claim - Premisecitation
All other nontarget PFAS discovery studies have used reversed phase liquid chromatography.
“All other studies have used reversed phase liquid chromatography (LC) [29,31,32,34e37,39e42,48] (Table 2), which is also the chromatographic method of choice for known legacy PFAAs.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [29,31,32,34e37,39e42,48]
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- Premisecitation
Performing offline SPE fractionation before nontarget HRMS can assist in reducing interferences.
“Performing offline SPE fractionation before nontarget HRMS can also assist in reducing interferences [30], and the availability of versatile SPE cartridges grants researchers many choices in method development.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [30] D'Agostino, 2014, Identification of novel fluorinated surfactants in aqueous film forming foams and commercial surfactant concentrates, Environ. Sci. Technol. source
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- Premisereasoning
Most nontarget PFAS discovery attempts in environmental and biological samples have utilized strategically selected samples to maximize likelihood of high PFAS concentrations.
“There have only been a few such attempts, and most have utilized strategically selected samples to maximize likelihood of high PFAS concentrations.”
Quote in the paperNot a substantial claim - Premisecitation
Commercially relevant PFASs are often composed of multiple structural isomers with the same exact mass.
“Moreover, commercially relevant PFASs are often composed of multiple structural isomers (i.e. with the same exact mass) [5,59], thus the use of chromatography can also help to separate isomers [31,42], thereby maximizing the discovery potential and revealing mass spectra of pure compounds.”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [5] Buck, 2011, Perfluoroalkyl and polyfluoroalkyl substances in the environment: terminology, classification, and origins, Integrated Environ. Assess. Manag. source
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- cites [59] Liu, 2015, Temporal trends of perfluorooctanesulfonate isomer and enantiomer patterns in archived Swedish and American serum samples, Environ. Int. source
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- Premisecitation
Analyte separations within the vacuum of an MS instrument are possible, enabled by differences in gas phase ion mobility.
“Analyte separations within the vacuum of an MS instrument are also possible, enabled by differences in gas phase ion mobility [62].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [62] Cumeras, 2015, Review on ion mobility spectrometry. Part 1: current instrumentation, Analyst source
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- Premisenone given
All nontarget discovery studies share common workflow steps: producing highly resolved full-scan chromatograms and/or spectra, selecting prospective PFAS features, assigning plausible molecular formulas, MSn fragmentation experiments, and structural proposal or analyte confirmation.
“While different identification strategies and approaches have been used, all nontarget discovery studies share the common workflow steps (Fig. 1) of (1) producing highly resolved full-scan chromatograms and/or spectra to reveal all detectable ions in the sample, (2) selecting prospective PFAS features from the full-scan data, (3) assigning plausible molecular formulas, (4) MS n (n ! 2) Frag”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites Fig. 1
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- Interpretationreasoning
The estimate of total PFAS discoveries may still underestimate the total number of PFAS molecules observed because of unresolved structural isomers from electrochemical fluorination.
“This estimate of total PFAS discoveries may still underestimate the total number of PFAS molecules observed because of unresolved structural isomers from electrochemical fluorination.”
Quote in the paperNot a substantial claim - Premisecitation
Only one study has paired gas chromatography with HRMS PFAS discovery, specifically for exploration of fluoropolymer thermal decomposition products.
“To our knowledge, only one study has paired gas chromatography with HRMS PFAS discovery, specifically for exploration of fluoropolymer thermal decomposition products [58].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [58] Myers, 2014, Using mass defect plots as a discovery tool to identify novel fluoropolymer thermal decomposition products, J. Mass Spectrom. source
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- Premisenone given
Nontarget PFAS discovery slowly moved from applications of commercial products or industrial discharge to include strategically selected environmental and biological samples.
“Nontarget PFAS discovery slowly moved from applications of commercial products or industrial discharge to include strategically selected environmental and biological samples.”
Quote in the paperNot a substantial claim - Premisecitation
Some studies have also reported identification of cationic and zwitterionic PFASs by the additional use of positive electrospray ionization mode.
“In studying AFFFs and commercial PFAScontaining products, some studies have also reported identification of cationic and zwitterionic PFASs by the additional use of positive electrospray ionization mode [29e31,33].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [29e31,33]
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- May combine two claims. 23
- Classified as probably not a substantial claim. 9
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Findingnone givenPFCAs, PFSAs, FTs and PFSMs combined compose 82% of all discovered PFAS classes and 74% of all PFAS analytes.
“PFCAs, PFSAs, FTs and PFSMs combined compose 82% of all discovered PFAS classes, and 74% of all PFAS analytes.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingnone givenMore than 750 PFAS analytes in more than 130 classes have been discovered and reported, containing PFAS moieties ranging from C2F4 to C44F79.
“In total, more than 750 PFAS analytes in more than 130 classes have been discovered and reported containing PFAS moieties ranging from small (e.g.C 2 F 4 ) to very large (e.g.C 44 F 79 ) (Table 1).”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationHigher mass spectral resolving power reduces interferences and may reveal minor features.
“This is largely thanks to a combination of higher mass spectral resolving power (RP), which reduces interferences and may reveal minor features, and high mass accuracy, which allows prediction of molecular formulas for the spectral peaks.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [24] Krauss, 2010, LC-high resolution MS in environmental analysis: from target screening to the identification of unknowns, Anal. Bioanal. Chem. source
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Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationSince the early 2000s, there has been a slow global trend towards regulatory restrictions or bans on long-chain PFAAs and their precursor PFASs, with a shift to alternative PFASs.
“Since their discovery as global contaminants in the early 2000s [2,6], there has been a slow global trend towards regulatory restrictions or bans on long-chain PFAAs and their precursor PFASs (e.g.Stockholm Convention [7]), with a concomitant shift to alternative PFASs [8].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [7] Stockholm-Convention, 2009
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- cites [8] OECD, 2015
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PremisecitationSome recent discoveries are legacy substances likely present in the environment for more than 40 years already.
“Among such recent contaminant discoveries, some are PFAA-precursors (e.g.perfluorooctaneamido quaternary ammonium salt [32]) that could contribute to environmental PFAA exposure for years to come [45], some are legacy substances likely present in the environment for more than 40 years already (e.g.chlorinated perfluoroether sulfonates [42]), while others are likely new current-use alternatives (e.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [42] Liu, 2018, Nontarget mass spectrometry reveals new perfluoroalkyl substances in fish from the Yangtze River and Tangxun Lake, China, Environ. Sci. Technol. source
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PremisecitationLong-chain perfluorinated acids (PFAAs) are of particular concern due to their environmental persistence, high bioaccumulation potentials, and associated toxicities.
“Long-chain perfluorinated acids (PFAAs) are of particular concern due to their combinations of environmental persistence, high bioaccumulation potentials, and associated toxicities [1].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [1] OECD, 2013
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PremisecitationNontarget HRMS analysis has been applied in molecular life sciences and petroleomics, and has recently gained popularity in environmental analytical chemistry.
“Nontarget HRMS analysis has been applied in molecular life sciences [27] and in petroleomics [28], and has most recently gained popularity in environmental analytical chemistry due to the above mentioned advances.”
Quote in the paperNot a substantial claim0 of 2 sources checkedMay combine two claims.
PremisecitationCommercially available HRMS instruments include TOF-MS with RP >20,000, mass accuracy 3 ppm and scan rate up to 500 Hz; Orbitrap-MS with RP >100,000, mass accuracy 2 ppm and scan rate up to 40 Hz; and FTICR-MS with RP >1,000,000, mass accuracy 1 ppm and scan rate 1 Hz.
“Commercially available HRMS instruments include various time-of-flight instruments (TOF-MS, RP !20,000, mass accuracy 3 ppm, scan rate up to 500 Hz [25]), Orbitrap (Orbitrap-MS, !100,000; 2 ppm; up to 40 Hz [26]) and Fouriertransform ion cyclotron resonance (FTICR-MS, !1,000,000; 1 ppm; 1 Hz) [24].”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [24] Krauss, 2010, LC-high resolution MS in environmental analysis: from target screening to the identification of unknowns, Anal. Bioanal. Chem. source
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- cites [25] Lacorte, 2006, Time of flight mass spectrometry applied to the liquid chromatographic analysis of pesticides in water and food, Mass Spectrom. Rev. source
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- cites [26] Thermo-Scientific, 2018
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PremisecitationPFASs are man-made chemicals that have been used for almost 70 years, and some have been identified as global contaminants since 2001.
“Per-and poly-fluoroalkyl substances (PFASs) are a general class of man-made chemicals that have been used for almost 70 years, but only since 2001 have some of these been identified as global contaminants [1,2].”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [1] OECD, 2013
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- cites [2] Giesy, 2001, Global distribution of perfluorooctane sulfonate in wildlife, Environ. Sci. Technol. source
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PremisecitationThe two main categories of alternative PFASs under ongoing production are short-chain PFAS analogues and structurally modified legacy PFASs, such as perfluoroalkyl ether acids.
“According to limited public information, the two main categories of alternative PFASs under ongoing production are the shortchain PFAS analogues, and structurally modified legacy PFASs (e.g.perfluoroalkyl ether acids) [1].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [1] OECD, 2013
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PremisecitationHypothesis-driven targeted analytical approaches have had success in the past, but are historically slow and may not be feasible given over 5000 PFASs recognized today.
“Hypothesis-driven targeted analytical approaches have had success in the past [22], but this is historically a slow process and may not be feasible given over 5000 PFASs that are recognized today [23].”
Quote in the paperSubstantial claim0 of 2 sources checked- cites [22] Martin, 2002, Collection of airborne fluorinated organics and analysis by gas chromatography/chemical ionization mass spectrometry, Anal. Chem. source
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- cites [23] USEPA, 2018
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PremisecitationC18 analytical column chemistries were employed for separations prior to nontarget mass spectrometry in almost all studies reviewed, with the only exception being a C8 column used in one study.
“C18 analytical column chemistries were employed for separations prior to nontarget mass spectrometry in almost all studies reviewed (Table 2), with the only exception being a C8 column used in one study [35].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [35] Strynar, 2015, Identification of novel perfluoroalkyl ether carboxylic acids (PFECAs) and sulfonic Acids (PFESAs) in natural waters using accurate mass time-of-flight mass spectrometry (TOFMS), Environ. Sci. Technol. source
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PremisecitationSubstantial direct evidence of unresolved structural isomers from electrochemical fluorination has been observed in some nontarget studies with chromatography, but other studies used infusion which masks isomers for each distinct homologue.
“Substantial direct evidence of such isomers has been observed in some nontarget studies with chromatography [30,31,42] (Table 2), but others used infusion which masks any isomers for each distinct homologue.”
Quote in the paperNot a substantial claim0 of 3 sources checked- cites [30] D'Agostino, 2014, Identification of novel fluorinated surfactants in aqueous film forming foams and commercial surfactant concentrates, Environ. Sci. Technol. source
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- cites [31] Barzen-Hanson, 2017, Discovery of 40 classes of per- and polyfluoroalkyl substances in historical aqueous film-forming foams (AFFFs) and AFFF-impacted groundwater, Environ. Sci. Technol. source
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- cites [42] Liu, 2018, Nontarget mass spectrometry reveals new perfluoroalkyl substances in fish from the Yangtze River and Tangxun Lake, China, Environ. Sci. Technol. source
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May combine two claims.
PremisecitationLiu et al. [38] detected highly complex MS/MS spectra for some PFAS classes in fish liver extracts, which likely indicate isomer coelutions.
“For example, Liu et al. [38] detected highly complex MS/MS spectra for some PFAS classes in fish liver extracts, which likely indicate isomer coelutions.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [38] Lin, 2017, Identification of novel hydrogen-substituted polyfluoroalkyl ether sulfonates in environmental matrices near metal-plating facilities, Environ. Sci. Technol. source
Not checked in the free run.
May combine two claims.
InterpretationreasoningBoth unresolved structural isomers and coelution may lead to an underestimation of the true numbers of PFAS analytes already detected.
“Both factors may lead to an underestimation of the true numbers of PFAS analytes already detected.”
Quote in the paperSubstantial claim- Rests on an assumption: Coelution may occur even with chromatographic separation.
May combine two claims.
InterpretationreasoningNontarget analysis is still advantageous for PFAS screening because at least 1000 of the ~5000 PFASs listed in public databases lack molecular formula and/or structural information.
“Nevertheless, at least 1000 of the ~5000 PFASs listed in public databases have no molecular formula and/or structural information, thus nontarget analysis is still advantageous for PFAS screening.”
Quote in the paperSubstantial claim- Rests on an assumption: At least 1000 of the ~5000 PFASs listed in public databases have no molecular formula and/or structural information.
May combine two claims.
Premisenone givenWithout chromatographic separation, spectral interpretation is much more challenging and could lead to incorrect structural assignments.
“Without chromatographic separation, spectral interpretation is a much more challenging task and could lead to incorrect structural assignments.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisereasoningIon mobility separation can be particularly useful for differentiating among isobars, isomers or even enantiomers.
“Ion mobility separation can be particularly useful for differentiating among isobars, isomers or even enantiomers.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationCombustion ion chromatography (CIC) and particle-induced gamma ray emission (PIGE) can both measure total fluorine content in various sample types.
“For example, combustion ion chromatography (CIC) [14] and particle-induced gamma ray emission (PIGE) [56] can both measure total fluorine content in various sample types.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [14] Miyake, 2007, Determination of trace levels of total fluorine in water using combustion ion chromatography for fluorine: a mass balance approach to determine individual perfluorinated chemicals in water, J. Chromatgr. A source
Not checked in the free run.
- cites [56] Ritter, 2017, PIGE as a screening tool for Per- and polyfluorinated substances in papers and textiles, Nucl. Instrum. Methods B source
Not checked in the free run.
May combine two claims.
PremisecitationPFAS extraction from water and urine using fluorinated solvents, such as perfluorotertbutanol, has been explored and reduced matrix effects were evident compared to WAX SPE.
“PFAS extraction from water and urine using fluorinated solvents, such as perfluorotertbutanol [54], has been explored and reduced matrix effects were evident compared to WAX SPE.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [54] Wang, 2018, A highly selective dispersive liquid-liquid microextraction approach based on the unique fluorous affinity for the extraction and detection of per- and polyfluoroalkyl substances coupled with high performance liquid chromatography tandem-mass spectrometry, J. Chromatogr. A source
Not checked in the free run.
May combine two claims.
PremisecitationMost nontarget PFAS discovery studies have been performed under negative electrospray ionization mode, thereby revealing new anionic PFASs.
“Most studies have been performed under negative electrospray ionization mode [32,34e38,40e42,44] (Table 2), thereby revealing new anionic PFASs (Table 1).”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [32,34e38,40e42,44]
Not checked in the free run.
May combine two claims.
PremisecitationChromatography can help separate PFAS isomers, thereby maximizing discovery potential and revealing mass spectra of pure compounds.
“Moreover, commercially relevant PFASs are often composed of multiple structural isomers (i.e. with the same exact mass) [5,59], thus the use of chromatography can also help to separate isomers [31,42], thereby maximizing the discovery potential and revealing mass spectra of pure compounds.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [31] Barzen-Hanson, 2017, Discovery of 40 classes of per- and polyfluoroalkyl substances in historical aqueous film-forming foams (AFFFs) and AFFF-impacted groundwater, Environ. Sci. Technol. source
Not checked in the free run.
- cites [42] Liu, 2018, Nontarget mass spectrometry reveals new perfluoroalkyl substances in fish from the Yangtze River and Tangxun Lake, China, Environ. Sci. Technol. source
Not checked in the free run.
May combine two claims.
PremisecitationTOF, Orbitrap, and FTICR are three HRMS technologies already proven as useful tools in PFAS discovery.
“TOF [29e32,35,39e41], Orbitrap [34,37,38,42] and Fouriertransform ion cyclotron resonance (FTICR) [30] are three HRMS technologies already proven as useful tools in PFAS discovery.”
Quote in the paperNot a substantial claim0 of 6 sources checked- cites [29e32,35,39e41]
Not checked in the free run.
- cites [34] Liu, 2015, Discovery of C5-C17 poly- and perfluoroalkyl substances in water by in-line SPE-HPLC-Orbitrap with in-source fragmentation flagging, Anal. Chem. source
Not checked in the free run.
- cites [37] Gebbink, 2017, Presence of emerging per- and polyfluoroalkyl substances (PFASs) in river and drinking water near a fluorochemical production plant in The Netherlands, Environ. Sci. Technol. source
Not checked in the free run.
- cites [38] Lin, 2017, Identification of novel hydrogen-substituted polyfluoroalkyl ether sulfonates in environmental matrices near metal-plating facilities, Environ. Sci. Technol. source
Not checked in the free run.
- cites [42] Liu, 2018, Nontarget mass spectrometry reveals new perfluoroalkyl substances in fish from the Yangtze River and Tangxun Lake, China, Environ. Sci. Technol. source
Not checked in the free run.
- cites [30] D'Agostino, 2014, Identification of novel fluorinated surfactants in aqueous film forming foams and commercial surfactant concentrates, Environ. Sci. Technol. source
Not checked in the free run.
May combine two claims.
PremisecitationPairing HPLC to on-line SPE had multiple benefits including high speed, high recovery, minimizing contamination, and high sensitivity by allowing large volumes to be extracted and immediately directed to the HPLC-HRMS instrument.
“This had multiple related benefits, including high speed, high recovery, minimizing contamination, and high sensitivity by allowing large volumes to be extracted and immediately directed (up to 5 mL) to the HPLC-HRMS instrument [34].”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [34] Liu, 2015, Discovery of C5-C17 poly- and perfluoroalkyl substances in water by in-line SPE-HPLC-Orbitrap with in-source fragmentation flagging, Anal. Chem. source
Not checked in the free run.
May combine two claims.
InterpretationreasoningRecent advances in HRMS make discovery of unknown or suspect PFASs in human or environmental samples possible without immediate need for authentic standards, allowing their discovery earlier in the chemical life-cycle, possibly at the source before they become globally distributed.
“Recent advances in HRMS make discovery of unknown or suspect PFASs in human or environmental samples possible without immediate need for authentic standards, thereby allowing their discovery earlier in the chemical life-cycle, possibly at the source before they become globally distributed.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationLiu et al. [42] tentatively proposed a new class of perfluorinated N-heterocycles in fish liver with a confidence level of 3.
“For example, despite more than 5000 known PFASs in all available databases, Liu et al. [42] tentatively proposed a new class of perfluorinated N-heterocycles in fish liver with a confidence level of 3.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [42] Liu, 2018, Nontarget mass spectrometry reveals new perfluoroalkyl substances in fish from the Yangtze River and Tangxun Lake, China, Environ. Sci. Technol. source
Not checked in the free run.
May combine two claims.
Premisenone givenBoth CIC and PIGE have low sensitivity, limiting their direct application to many environmental samples.
“Both CIC and PIGE, however, have low sensitivity, limiting their direct application to many environmental samples.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisereasoningChromatographic separation benefits nontarget discovery by separating matrix components from analytes, improving sensitivity by removal of matrix effects, and minimizing isobaric interferences.
“Chromatographic separation inherently benefits nontarget discovery by separating matrix components from analytes of interest, thereby improving sensitivity by removal of matrix effects and minimizing isobaric interferences.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductown dataThe authors surveyed the published literature up to October 31, 2018, to summarize PFASs discovered by nontarget HRMS techniques covered in the review.
“We surveyed the published literature to date (October 31, 2018) and summarized the PFASs that have been discovered by techniques covered in this review.”
Quote in the paperNot a substantial claim
The paper relies on this without support.
Suspect screening does not require the immediate availability of authentic standards.
“Suspect screening does not require the immediate availability of authentic standards”
The paper relies on this without support.
Suspect screening can allow progression from confidence level 3 to confidence level 2 in structural proposals.
“can allow progression from confidence level 3 to confidence level 2 in structural proposals”
The paper relies on this without support.
Suspect screening can be used for rapidly screening many samples.
“can be used for rapidly screening many samples”
The paper relies on this without support.
At least 1000 of the ~5000 PFASs listed in public databases have no molecular formula and/or structural information.
“at least 1000 of the ~5000 PFASs listed in public databases have no molecular formula and/or structural information”
The paper relies on this without support.
Comprehensive nontarget workflows are able to discover potential PFAS transformation products, manufacturing impurities, or PFASs not in available databases.
“comprehensive nontarget workflows are able to discover potential PFAS transformation products, manufacturing impurities, or PFASs not in available databases”
The paper relies on this without support.
Coelution may occur even with chromatographic separation.
“coelution may occur even with chromatographic separation”
The paper relies on this without support.
Historical hypothesis-driven targeted analysis has made great contributions to PFAS discovery and to quantification of concentrations in human and environmental samples.
“Historical hypothesis-driven targeted analysis with sensitive and highly specific analytical methods have made great contributions to PFAS discovery and to quantification of concentrations in human and environmental samples.”
The paper relies on this without support.
Targeted analysis methods have limitations and cannot keep pace with the number of historic and emerging PFASs in the market place.
“such methods have limitations and cannot keep pace with the number of historic and emerging PFASs in the market place”
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?
The frequent detection of 6:2 FTS as a replacement compound raises concerns about the environmental behavior and toxicity of such substitutes, which may not be fully understood or regulated.
“its frequent detection raises concerns about the environmental behavior and toxicity of such substitutes, which may not be fully understood or regulated.”
From Integrated Targeted and Suspect Screening Workflow for Identifying PFAS of Concern in Urban-Impacted Serbian Rivers (2026) · cites this paper as [31]
The Introduction (page unavailable) says information on alternative PFASs is limited and raises concerns about their persistence, toxicity, environmental behavior, and health risks. It does not establish that 6:2 FTS is frequently detected, nor does it specifically address whether that substitute is regulated. (LLM, conf=0.84)
Experimental — accuracy not yet measuredSuspect and nontarget analysis using HRMS has been shown to be a viable and reliable method for screening and identifying emerging PFAS.
“Suspect and nontarget analysis using high-resolution mass spectrometry (HRMS) has been shown to be a viable and reliable method for screening and identifying emerging PFAS”
From Molecular characteristics of emerging perfluoroalkyl and polyfluoroalkyl substances (PFAS) and dissolved organic matter (DOM) in surface waters around fluorine-related industries in a Chinese Megacity (2025) · cites this paper as Liu et al., 2019
Section 5 describes suspect screening as useful for rapidly screening samples and nontarget HRMS as advantageous for discovering PFASs. But Section 4.5 says most published nontarget identifications are probable or tentative and that structural confirmation requires an authentic standard or NMR. The claim’s unqualified description of identification as reliable overstates the source. (LLM, conf=0.86)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
Each contradiction between two passages listed here was confirmed by an independent check.
Rotander et al. class count is reversed in the text
MinorThe studies are named in Rotander-Baduel-Yu order, so the text assigns 10 classes to Rotander et al.; Table 2 assigns that study 3 classes.
“Rotander et al. [44], Baduel et al. [40] and Yu et al. [41] acquired MS/MS information in the same analytical run to help discover new PFASs in firefighters' serum, AFFF-impacted concrete dust, and airborne particulate matter, respectively (Table 2).By looking for diagnostic PFAS fragments in MS/MS spectra (e.g.C 2 F 5 À ), the authors respectively filtered out 10, 3 and 9 classes of new PFASs, respectively.”
“| [44] | solvent extraction | (Sciex) | statistical comparison to | |”
Xiao et al. class count differs between text and Table 2
MinorThe text says Xiao et al. identified 12 classes of new PFASs, while Table 2 lists 11 classes for the same study.
“Xiao et al. [32] used an alternating AIF and full-scan procedure on QTOF for characterizing 3M Co. surfactant concentrates, and they identified 12 classes of new PFASs”
“| Xiao et al., 2017 [32] | Fluorad surfactant | LC(C18 column)-ESI -/þ eQTOF | MS E characteristic fragments | 11, 91, >91 |”
140,000-resolution instrument is misidentified as FTICR
MinorThe text attributes the 140,000 resolving-power example in reference [37] to FTICR, but Table 2 identifies the instrument for that study as a Q-Exactive.
“140,000 (e.g.FTICR, at m/z 200) [37]”
“| [37] | fluorochemical facility | Exactive (Thermo) | patterns (Xcalibur) | |”
Baduel et al. class count differs between text and Table 2
MinorThe text assigns 3 classes to Baduel et al. in its stated study order, whereas Table 2 lists 10. The Rotander and Baduel counts appear to have been interchanged.
“the authors respectively filtered out 10, 3 and 9 classes of new PFASs, respectively.”
“| Baduel et al., 2017 [40] | AFFF-impacted | LC(C18 column)eESI -eQTOF | intensity threshold cut-off, | 10, 38, 38 |”
Cites
Buck, R. C., Franklin, J., Berger, U., Conder, J. M., Cousins, I. T., de Voogt, P., Jensen, A. A., Kannan, K., Mabury, S. A., & van Leeuwen, S. P. (2011) · Integrated Environmental Assessment and Management · doi:10.1002/ieam.258 · Cited by 4,641 · see citing works
Identifying Small Molecules via High Resolution Mass Spectrometry: Communicating Confidence
Schymanski, E. L., Jeon, J., Gulde, R., Fenner, K., Ruff, M., Singer, H. P., & Hollender, J. (2014) · Environmental Science & Technology · doi:10.1021/es5002105 · Cited by 4,519 · see citing works
Global Distribution of Perfluorooctane Sulfonate in Wildlife
Giesy, J. P., & Kannan, K. (2001) · Environmental Science & Technology · doi:10.1021/es001834k · Cited by 2,750 · see citing works
Olsen, G. W., Burris, J. M., Ehresman, D. J., Froehlich, J. W., Seacat, A. M., Butenhoff, J. L., & Zobel, L. R. (2007) · Environmental Health Perspectives · doi:10.1289/ehp.10009 · Cited by 2,049 · see citing works
Adsorption behavior and mechanism of perfluorinated compounds on various adsorbents—A review
Du, Z., Deng, S., Bei, Y., Huang, Q., Wang, B., Huang, J., & Yu, G. (2014) · Journal of Hazardous Materials · doi:10.1016/j.jhazmat.2014.04.038 · Cited by 1,236 · see citing works
Kind, T., & Fiehn, O. (2007) · BMC Bioinformatics · doi:10.1186/1471-2105-8-105 · Cited by 1,201 · see citing works
Wang, Z., Cousins, I. T., Scheringer, M., & Hungerbühler, K. (2013) · Environment International · doi:10.1016/j.envint.2013.08.021 · Cited by 924 · see citing works
Barzen-Hanson, K. A., Roberts, S. C., Choyke, S., Oetjen, K., McAlees, A., Riddell, N., McCrindle, R., Ferguson, P. L., Higgins, C. P., & Field, J. A. (2017) · Environmental Science & Technology · doi:10.1021/acs.est.6b05843 · Cited by 873 · see citing works
Hughey, C. A., Hendrickson, C. L., Rodgers, R. P., Marshall, A. G., & Qian, K. (2001) · Analytical Chemistry · doi:10.1021/ac010560w · Cited by 852 · see citing works
Persistence of Perfluoroalkyl Acid Precursors in AFFF-Impacted Groundwater and Soil
Houtz, E. F., Higgins, C. P., Field, J. A., & Sedlak, D. L. (2013) · Environmental Science & Technology · doi:10.1021/es4018877 · Cited by 849 · see citing works
Krauss, M., Singer, H., & Hollender, J. (2010) · Analytical and Bioanalytical Chemistry · doi:10.1007/s00216-010-3608-9 · Cited by 743 · see citing works
A Mass Scale Based on CH2 = 14.0000 for High Resolution Mass Spectrometry of Organic Compounds.
Kendrick, E. (1963) · Analytical Chemistry · doi:10.1021/ac60206a048 · Cited by 741 · see citing works
Oxidative Conversion as a Means of Detecting Precursors to Perfluoroalkyl Acids in Urban Runoff
Houtz, E. F., & Sedlak, D. L. (2012) · Environmental Science & Technology · doi:10.1021/es302274g · Cited by 681 · see citing works
Petroleomics: Chemistry of the underworld
Marshall, A. G., & Rodgers, R. P. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0805069105 · Cited by 677 · see citing works
Identification of Long-Chain Perfluorinated Acids in Biota from the Canadian Arctic
Martin, J. W., Smithwick, M., Braune, B. M., Hoekstra, P. F., Muir, D. C. G., & Mabury, S. A. (2003) · Environmental Science & Technology · doi:10.1021/es034727+ · Cited by 667 · see citing works
Self-citationWang, Z., Cousins, I. T., Scheringer, M., & Hungerbuehler, K. (2015) · Environment International · doi:10.1016/j.envint.2014.11.013 · Cited by 627 · see citing works
Backe, W. J., Day, T. C., & Field, J. A. (2013) · Environmental Science & Technology · doi:10.1021/es3034999 · Cited by 611 · see citing works
A review of emerging technologies for remediation of PFASs
Ross, I., McDonough, J., Miles, J., Storch, P., Thelakkat Kochunarayanan, P., Kalve, E., Hurst, J., S. Dasgupta, S., & Burdick, J. (2018) · Remediation Journal · doi:10.1002/rem.21553 · Cited by 606 · see citing works
Identification of Novel Fluorochemicals in Aqueous Film-Forming Foams Used by the US Military
Place, B. J., & Field, J. A. (2012) · Environmental Science & Technology · doi:10.1021/es301465n · Cited by 543 · see citing works
Koch, B. P., Dittmar, T., Witt, M., & Kattner, G. (2007) · Analytical Chemistry · doi:10.1021/ac061949s · Cited by 513 · see citing works
Review on ion mobility spectrometry. Part 1: current instrumentation
Cumeras, R., Figueras, E., Davis, C. E., Baumbach, J. I., & Gràcia, I. (2015) · The Analyst · doi:10.1039/c4an01100g · Cited by 459 · see citing works
Gebbink, W. A., van Asseldonk, L., & van Leeuwen, S. P. J. (2017) · Environmental Science & Technology · doi:10.1021/acs.est.7b02488 · Cited by 438 · see citing works
Comparing the toxic potency in vivo of long-chain perfluoroalkyl acids and fluorinated alternatives
Gomis, M. I., Vestergren, R., Borg, D., & Cousins, I. T. (2018) · Environment International · doi:10.1016/j.envint.2018.01.011 · Cited by 438 · see citing works
D’Agostino, L. A., & Mabury, S. A. (2014) · Environmental Science & Technology · doi:10.1021/es403729e · Cited by 387 · see citing works
Self-citationStrynar, M., Dagnino, S., McMahen, R., Liang, S., Lindstrom, A., Andersen, E., McMillan, L., Thurman, M., Ferrer, I., & Ball, C. (2015) · Environmental Science & Technology · doi:10.1021/acs.est.5b01215 · Cited by 386 · see citing works
Houtz, E. F., Sutton, R., Park, J.-S., & Sedlak, M. (2016) · Water Research · doi:10.1016/j.watres.2016.02.055 · Cited by 374 · see citing works
Polyfluorinated surfactants (PFS) in paper and board coatings for food packaging
Trier, X., Granby, K., & Christensen, J. H. (2011) · Environmental Science and Pollution Research · doi:10.1007/s11356-010-0439-3 · Cited by 344 · see citing works
Trophic Magnification of Poly- and Perfluorinated Compounds in a Subtropical Food Web
Loi, E. I. H., Yeung, L. W. Y., Taniyasu, S., Lam, P. K. S., Kannan, K., & Yamashita, N. (2011) · Environmental Science & Technology · doi:10.1021/es200432n · Cited by 335 · see citing works
Kern, S., Fenner, K., Singer, H., Schwarzenbach, R. P., & Hollender, J. (2009) · Environmental Science & Technology · doi:10.1021/es901979h · Cited by 326 · see citing works
Martin, J. W., Muir, D. C. G., Moody, C. A., Ellis, D. A., Kwan, W. C., Solomon, K. R., & Mabury, S. A. (2002) · Analytical Chemistry · doi:10.1021/ac015630d · Cited by 299 · see citing works
Self-citationMetabolomics applications of FT‐ICR mass spectrometry
Brown, S. C., Kruppa, G. H., & Dasseux, J. (2004) · Mass Spectrometry Reviews · doi:10.1002/mas.20011 · Cited by 286 · see citing works
High Resolution Mass Spectrometry
Xian, F., Hendrickson, C. L., & Marshall, A. G. (2012) · Analytical Chemistry · doi:10.1021/ac203191t · Cited by 281 · see citing works
Miyake, Y., Yamashita, N., Rostkowski, P., So, M. K., Taniyasu, S., Lam, P. K. S., & Kannan, K. (2007) · Journal of Chromatography A · doi:10.1016/j.chroma.2006.12.071 · Cited by 243 · see citing works
Wang, Y., Yu, N., Zhu, X., Guo, H., Jiang, J., Wang, X., Shi, W. F., Wu, J., Yu, H., & Wei, S. (2018) · Environmental Science & Technology · doi:10.1021/acs.est.8b03030 · Cited by 219 · see citing works
Newton, S., McMahen, R., Stoeckel, J. A., Chislock, M., Lindstrom, A., & Strynar, M. (2017) · Environmental Science & Technology · doi:10.1021/acs.est.6b05330 · Cited by 217 · see citing works
Bossi, R., Rigét, F. F., Dietz, R., Sonne, C., Fauser, P., Dam, M., & Vorkamp, K. (2005) · Environmental Pollution · doi:10.1016/j.envpol.2004.12.020 · Cited by 217 · see citing works
Liu, Y., Pereira, A. D. S., & Martin, J. W. (2015) · Analytical Chemistry · doi:10.1021/acs.analchem.5b00039 · Cited by 209 · see citing works
Self-citationLacorte, S., & FERNANDEZALBA, A. (2006) · Mass Spectrometry Reviews · doi:10.1002/mas.20094 · Cited by 204 · see citing works
Yu, N., Guo, H., Yang, J., Jin, L., Wang, X., Shi, W., Zhang, X., Yu, H., & Wei, S. (2018) · Environmental Science & Technology · doi:10.1021/acs.est.8b02492 · Cited by 200 · see citing works
Boiteux, V., Dauchy, X., Bach, C., Colin, A., Hemard, J., Sagres, V., Rosin, C., & Munoz, J.-F. (2017) · Science of The Total Environment · doi:10.1016/j.scitotenv.2017.01.079 · Cited by 193 · see citing works
Baduel, C., Mueller, J. F., Rotander, A., Corfield, J., & Gomez-Ramos, M.-J. (2017) · Chemosphere · doi:10.1016/j.chemosphere.2017.06.096 · Cited by 192 · see citing works
Yeung, L. W. Y., Miyake, Y., Taniyasu, S., Wang, Y., Yu, H., So, M. K., Jiang, G., Wu, Y., Li, J., Giesy, J. P., et al. (2008) · Environmental Science & Technology · doi:10.1021/es800631n · Cited by 192 · see citing works
Self-citationRager, J. E., Strynar, M. J., Liang, S., McMahen, R. L., Richard, A. M., Grulke, C., Wambaugh, J. F., Isaacs, K., Judson, R., Williams, A. J., et al. (2016) · Environment International · doi:10.1016/j.envint.2015.12.008 · Cited by 190 · see citing works
Closing the Mass Balance on Fluorine on Papers and Textiles
Robel, A. E., Marshall, K., Dickinson, M., Lunderberg, D., Butt, C., Peaslee, G., Stapleton, H. M., & Field, J. A. (2017) · Environmental Science & Technology · doi:10.1021/acs.est.7b02080 · Cited by 182 · see citing works
Rotander, A., Kärrman, A., Toms, L.-M. L., Kay, M., Mueller, J. F., & Gómez Ramos, M. J. (2015) · Environmental Science & Technology · doi:10.1021/es503653n · Cited by 172 · see citing works
Mejia-Avendaño, S., Vo Duy, S., Sauvé, S., & Liu, J. (2016) · Environmental Science & Technology · doi:10.1021/acs.est.6b00140 · Cited by 168 · see citing works
Hundreds of Unrecognized Halogenated Contaminants Discovered in Polar Bear Serum
Liu, Y., Richardson, E. S., Derocher, A. E., Lunn, N. J., Lehmler, H., Li, X., Zhang, Y., Cui, J. Y., Cheng, L., & Martin, J. W. (2018) · Angewandte Chemie International Edition · doi:10.1002/anie.201809906 · Cited by 134 · see citing works
Self-citationPIGE as a screening tool for Per- and polyfluorinated substances in papers and textiles
Ritter, E. E., Dickinson, M. E., Harron, J. P., Lunderberg, D. M., DeYoung, P. A., Robel, A. E., Field, J. A., & Peaslee, G. F. (2017) · Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms · doi:10.1016/j.nimb.2017.05.052 · Cited by 123 · see citing works
Liu, Y., Qian, M., Ma, X., Zhu, L., & Martin, J. W. (2018) · Environmental Science & Technology · doi:10.1021/acs.est.8b00779 · Cited by 115 · see citing works
Self-citationLin, Y., Ruan, T., Liu, A., & Jiang, G. (2017) · Environmental Science & Technology · doi:10.1021/acs.est.7b02961 · Cited by 114 · see citing works
Self-citationWang, P., Wang, T., Giesy, J. P., & Lü, Y. (2013) · Chemosphere · doi:10.1016/j.chemosphere.2013.02.017 · Cited by 106 · see citing works
Myers, A. L., Jobst, K. J., Mabury, S. A., & Reiner, E. J. (2014) · Journal of Mass Spectrometry · doi:10.1002/jms.3340 · Cited by 103 · see citing works
Xiao, F., Golovko, S. A., & Golovko, M. Y. (2017) · Analytica Chimica Acta · doi:10.1016/j.aca.2017.08.016 · Cited by 97 · see citing works
Navarro‐Reig, M., Jaumot, J., Baglai, A., Vivó‐Truyols, G., Schoenmakers, P. J., & Tauler, R. (2017) · Analytical Chemistry · doi:10.1021/acs.analchem.7b01648 · Cited by 93 · see citing works
Peng, H., Chen, C., Saunders, D., Sun, J., Tang, S., Codling, G., Hecker, M., Wiseman, S. B., Jones, P. D., Li, A., et al. (2015) · Analytical Chemistry · doi:10.1021/acs.analchem.5b01435 · Cited by 85 · see citing works
Wang, J., Shi, Y., & Cai, Y. (2018) · Journal of Chromatography A · doi:10.1016/j.chroma.2018.02.047 · Cited by 64 · see citing works
Qin, Z., McNee, D., Gleisner, H., Raab, A., Kyeremeh, K., Jaspars, M., Krupp, E. M., Deng, H., & Feldmann, J. (2012) · Analytical Chemistry · doi:10.1021/ac301201y · Cited by 63 · see citing works
Petroleomics by Ultrahigh-Resolution Time-of-Flight Mass Spectrometry
Klitzke, C. F., Corilo, Y., Siek, K., Binkley, J., Patrick, J. S., & Eberlin, M. N. (2012) · Energy & Fuels · doi:10.1021/ef300961c · Cited by 59 · see citing works
High Resolution Mass Spectrometry of Polyfluorinated Polyether-Based Formulation
Dimzon, I. K. D., Trier, X., Frömel, T., Helmus, R., Knepper, T. P., & de Voogt, P. (2015) · Journal of the American Society for Mass Spectrometry · doi:10.1007/s13361-015-1269-9 · Cited by 50 · see citing works
Tan, B., Wang, T., Wang, P., Luo, W., Lü, Y., Romesh, K. Y., & Giesy, J. P. (2014) · Environmental Science and Pollution Research · doi:10.1007/s11356-014-2835-6 · Cited by 50 · see citing works
Liu, Y., Pereira, A. S., Beesoon, S., Vestergren, R., Berger, U., Olsen, G. W., Glynn, A., & Martin, J. W. (2015) · Environment International · doi:10.1016/j.envint.2014.11.014 · Cited by 45 · see citing works
Self-citationVillaverde-de-Sáa, E., Racamonde, I., Quintana, J. B., Rodil, R., & Cela, R. (2012) · Analytica Chimica Acta · doi:10.1016/j.aca.2012.06.027 · Cited by 45 · see citing works
Nontarget Time Trend Screening in Human Blood
Plassmann, M. M., Fischer, S., & Benskin, J. P. (2018) · Environmental Science & Technology Letters · doi:10.1021/acs.estlett.8b00196 · Cited by 44 · see citing works
Trier, X., Granby, K., & Christensen, J. H. (2011) · Journal of Chromatography A · doi:10.1016/j.chroma.2011.07.057 · Cited by 40 · see citing works
Introduction to Mass Spectrometry, a Tutorial
Niessen, W. M. A., & Falck, D. (2015) · Wiley eBooks · doi:10.1002/9783527673391.ch1 · Cited by 38 · see citing works
de Voogt, P., Zurano, L., Serné, P., & Haftka, J. J. H. (2012) · Environmental Chemistry · doi:10.1071/en12132 · Cited by 35 · see citing works
Hagan, N., Goldberg, I., Graichen, A. M., Jean, A., Wu, C., Lawrence, D., & Demirev, P. A. (2017) · Journal of the American Society for Mass Spectrometry · doi:10.1007/s13361-017-1666-3 · Cited by 27 · see citing works
Taniyasu, S., Senthilkumar, K. K., Yamazaki, E., Yeung, L. W. Y., Guruge, K. S., Kannan, K., & Yamashita, N. (2013) · Archives of Environmental Contamination and Toxicology · doi:10.1007/s00244-013-9878-4 · Cited by 22 · see citing works
Analyzing Biomolecular Interactions by Mass Spectrometry
Manda, D. (2016) · Acta Endocrinologica (Bucharest) · doi:10.4183/aeb.2016.504 · Cited by 20 · see citing works
Cousins, I. T., Balan, S. A., Scheringer, M., Weber, R., Wang, Z., Blum, A., Diamond, M., Fletcher, T., Goldenman, G., Higgins, C., et al. (2015) · Environmental Health Perspectives · doi:10.1289/ehp.1510207 · Cited by 8 · see citing works
Hundreds of Unrecognized Halogenated Contaminants Discovered in Polar Bear Serum
Liu, Y., Richardson, E. S., Derocher, A. E., Lunn, N. J., Lehmler, H., Li, X., Zhang, Y., Cui, J. Y., Cheng, L., & Martin, J. W. (2018) · Angewandte Chemie · doi:10.1002/ange.201809906 · Cited by 8 · see citing works
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Per- and Polyfluoroalkyl Substances (PFAS) in PubChem: 7 Million and Growing
Schymanski, E., Zhang, J., Thiessen, P. A., Chirsir, P., Kondić, T., & Bolton, E. (2023) · Environmental Science & Technology · doi:10.1021/acs.est.3c04855 · Cited by 348 · see citing works
NORMAN guidance on suspect and non-target screening in environmental monitoring
Hollender, J., Schymanski, E., Ahrens, L., Alygizakis, ., Béen, F. M., Bijlsma, L., Brunner, A. M., Celma, A., Fildier, A., Fu, Q., et al. (2023) · Environmental Sciences Europe · doi:10.1186/s12302-023-00779-4 · Cited by 299 · see citing works
Charbonnet, J. A., McDonough, C. A., Xiao, F., Schwichtenberg, T., Cao, D., Kaserzon, S., Thomas, K. V., Dewapriya, P., Place, B. J., Schymanski, E., et al. (2022) · Environmental Science & Technology Letters · doi:10.1021/acs.estlett.2c00206 · Cited by 280 · see citing works
Ojo, A. F., Peng, C., & Ng, J. C. (2021) · Journal of Hazardous Materials · doi:10.1016/j.jhazmat.2020.124863 · Cited by 221 · see citing works
Ruan, T., Li, P., Wang, H., Li, T., & Jiang, G. (2023) · Chemical Reviews · doi:10.1021/acs.chemrev.3c00056 · Cited by 219 · see citing works
Self-citationSources, Fate, and Plant Uptake in Agricultural Systems of Per- and Polyfluoroalkyl Substances
Costello, M. C. S., & Lee, L. (2020) · Current Pollution Reports · doi:10.1007/s40726-020-00168-y · Cited by 217 · see citing works
Munoz, G., Michaud, A., Liu, M., Duy, S. V., Montenach, D., Resseguier, C., Watteau, F., Sappin‐Didier, V., Feder, F., Morvan, T., et al. (2021) · Environmental Science & Technology · doi:10.1021/acs.est.1c03697 · Cited by 196 · see citing works
Wang, X., Yu, N., Qian, Y., Shi, W., Zhang, X., Geng, J., Yu, H., & Wei, S. (2020) · Water Research · doi:10.1016/j.watres.2020.115989 · Cited by 179 · see citing works
Chen, H., Munoz, G., Duy, S. V., Zhang, L., Yao, Y., Zhao, Z., Yi, L., Liu, M., Sun, H., Liu, J., et al. (2020) · Environmental Science & Technology · doi:10.1021/acs.est.0c00934 · Cited by 176 · see citing works
Taha, H. M., Aalizadeh, R., Alygizakis, ., Antignac, J., Arp, H. P. H., Bade, R., Baker, N., Belova, L., Bijlsma, L., Bolton, E., et al. (2022) · Environmental Sciences Europe · doi:10.1186/s12302-022-00680-6 · Cited by 177 · see citing works
Self-citationDefining the Scope of Exposome Studies and Research Needs from a Multidisciplinary Perspective
Zhang, P., Carlsten, C., Chaleckis, R., Hanhineva, K., Huang, M., Isobe, T., Koistinen, V., Meister, I., Papazian, S., Sdougkou, K., et al. (2021) · Environmental Science & Technology Letters · doi:10.1021/acs.estlett.1c00648 · Cited by 160 · see citing works
Self-citationGuelfo, J. L., Korzeniowski, S. H., Mills, M. A., Anderson, J. K., Anderson, R. H., Arblaster, J. A., Conder, J., Cousins, I. T., Dasu, K., Henry, B. J., et al. (2021) · Environmental Toxicology and Chemistry · doi:10.1002/etc.5182 · Cited by 151 · see citing works
Miaz, L. T., Plassmann, M. M., Gyllenhammar, I., Bignert, A., Sandblom, O., Lignell, S., Glynn, A. W., & Benskin, J. P. (2020) · Environmental Science Processes & Impacts · doi:10.1039/c9em00502a · Cited by 141 · see citing works
Neuwald, I. J., Muschket, M., Zahn, D., Berger, U., Seiwert, B., Meier, T., Kuckelkorn, J., Strobel, C., Knepper, T. P., & Reemtsma, T. (2021) · Water Research · doi:10.1016/j.watres.2021.117645 · Cited by 140 · see citing works
Ma, D., Lü, Y., Liang, Y., Ruan, T., Li, J., Zhao, C., Wang, Y., & Jiang, G. (2021) · Environmental Science & Technology · doi:10.1021/acs.est.1c01057 · Cited by 136 · see citing works
Self-citationWang, Q., Ruan, Y., Jin, L., Zhang, X., Li, J., He, Y., Wei, S., Lam, J. C. W., & Lam, P. K. S. (2021) · Environmental Science & Technology · doi:10.1021/acs.est.0c06685 · Cited by 132 · see citing works
High-Resolution Mass Spectrometry for Human Exposomics: Expanding Chemical Space Coverage
Lai, Y., Koelmel, J. P., Walker, D. I., Price, E. J., Papazian, S., Manz, K. E., Castilla-Fernández, D., Bowden, J. A., Nikiforov, V. A., David, A., et al. (2024) · Environmental Science & Technology · doi:10.1021/acs.est.4c01156 · Cited by 132 · see citing works
Self-citationTeymoorian, T., Munoz, G., Duy, S. V., Liu, J., & Sauvé, S. (2023) · ACS ES&T Water · doi:10.1021/acsestwater.2c00387 · Cited by 131 · see citing works
Menger, F., Gago-Ferrero, P., Wiberg, K., & Ahrens, L. (2020) · Trends in Environmental Analytical Chemistry · doi:10.1016/j.teac.2020.e00102 · Cited by 127 · see citing works
Tavasoli, E., Luek, J. L., Malley, J. P., & Mouser, P. J. (2021) · Environmental Science: Processes & Impacts · doi:10.1039/d1em00032b · Cited by 125 · see citing works
Yao, J., Sheng, N., Guo, Y., Yeung, L. W. Y., Dai, J., & Pan, Y. (2022) · Environmental Science & Technology · doi:10.1021/acs.est.2c00891 · Cited by 123 · see citing works
FluoroMatch 2.0—making automated and comprehensive non-targeted PFAS annotation a reality
Koelmel, J. P., Stelben, P., McDonough, C. A., Dukes, D. A., Aristizabal‐Henao, J. J., Nason, S. L., Li, Y., Sternberg, S., Lin, E. Z., Beckmann, M., et al. (2021) · Analytical and Bioanalytical Chemistry · doi:10.1007/s00216-021-03392-7 · Cited by 122 · see citing works
Charbonnet, J. A., Rodowa, A. E., Joseph, N. T., Guelfo, J. L., Field, J. A., Jones, G. D., Higgins, C. P., Helbling, D. E., & Houtz, E. F. (2021) · Environmental Science & Technology · doi:10.1021/acs.est.0c08506 · Cited by 121 · see citing works
Hu, J., Lyu, Y., Chen, H., Cai, L., Li, J., Cao, X., & Sun, W. (2023) · Water Research · doi:10.1016/j.watres.2023.119735 · Cited by 121 · see citing works
Semerád, J., Hatasová, N., Grasserová, A., Černá, T., Filipová, A., Hanč, A., Innemanová, P., Pivokonský, M., & Cajthaml, T. (2020) · Chemosphere · doi:10.1016/j.chemosphere.2020.128018 · Cited by 120 · see citing works
Alinezhad, A., Sasi, P. C., Zhang, P., Yao, B., Kubátová, A., Golovko, S. A., Golovko, M. Y., & Xiao, F. (2022) · ACS ES&T Engineering · doi:10.1021/acsestengg.1c00335 · Cited by 117 · see citing works
Koelmel, J. P., Paige, M. K., Aristizabal‐Henao, J. J., Robey, N. M., Nason, S. L., Stelben, P., Li, Y., Kroeger, N., Napolitano, M. P., Savvaides, T., et al. (2020) · Analytical Chemistry · doi:10.1021/acs.analchem.0c01591 · Cited by 112 · see citing works
Tansel, B. (2022) · Journal of Environmental Management · doi:10.1016/j.jenvman.2022.115291 · Cited by 109 · see citing works
Jia, S., dos Santos, M. M., Li, C., & Snyder, S. A. (2022) · Analytical and Bioanalytical Chemistry · doi:10.1007/s00216-022-03905-y · Cited by 108 · see citing works
Camdzic, D., Dickman, R. A., & Aga, D. S. (2021) · Journal of Hazardous Materials Letters · doi:10.1016/j.hazl.2021.100023 · Cited by 101 · see citing works
Bushuiev, R., Bushuiev, A., Samusevich, R., Brungs, C., Šivic, J., & Pluskal, T. (2025) · Nature Biotechnology · doi:10.1038/s41587-025-02663-3 · Cited by 100 · see citing works
Song, D., Qiao, B., Yao, Y., Zhao, L., Wang, X., Chen, H., Zhu, L., & Sun, H. (2023) · Journal of Hazardous Materials · doi:10.1016/j.jhazmat.2023.132411 · Cited by 98 · see citing works
Joerss, H., Schramm, T.-R., Sun, L., Guo, C., Tang, J., & Ebinghaus, R. (2020) · Environmental Pollution · doi:10.1016/j.envpol.2020.115567 · Cited by 96 · see citing works
Barrett, H., Du, X., Houde, M., Lair, S., Verreault, J., & Peng, H. (2021) · Environmental Science & Technology · doi:10.1021/acs.est.0c05957 · Cited by 96 · see citing works
Winchell, L. J., Wells, M. J. M., Ross, J. J., Fonoll, X., Norton, J., Kuplicki, S., Khan, M., & Bell, K. Y. (2021) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2021.145257 · Cited by 96 · see citing works
Pasecnaja, E., Bartkevics, V., & Zacs, D. (2022) · Chemosphere · doi:10.1016/j.chemosphere.2021.132378 · Cited by 95 · see citing works
Li, W., Li, H., Zhang, D., Tong, Y., Li, F., Cheng, F., Huang, Z., & You, J. (2022) · Environmental Science & Technology · doi:10.1021/acs.est.1c07362 · Cited by 94 · see citing works
Yang, D., Han, J., Hall, D. R., Sun, J., Fu, J., Kutarna, S., Houck, K. A., LaLone, C. A., Doering, J. A., Ng, C. A., et al. (2020) · Environmental Science & Technology · doi:10.1021/acs.est.0c00049 · Cited by 90 · see citing works
Yu, N., Wen, H.-Z., Wang, X., Yamazaki, E., Taniyasu, S., Yamashita, N., Yu, H., & Wei, S. (2020) · Environmental Science & Technology · doi:10.1021/acs.est.9b05457 · Cited by 89 · see citing works
Αντωνοπούλου, Μ., Spyrou, A., Tzamaria, A., Efthimiou, I., & Triantafyllidis, V. (2023) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2023.169332 · Cited by 88 · see citing works
Smith, S. J., Lauria, M. Z., Higgins, C. P., Pennell, K. D., Blotevogel, J., & Arp, H. P. H. (2024) · Environmental Science & Technology · doi:10.1021/acs.est.3c10617 · Cited by 86 · see citing works
Xie, L.-N., Wang, X., Dong, X.-J., Su, L., Zhu, H., Wang, C., Zhang, D.-P., Liu, F., Hou, S.-S., Dong, B., et al. (2020) · Environment International · doi:10.1016/j.envint.2020.106166 · Cited by 86 · see citing works
Characterization of relevant site-specific PFAS fate and transport processes at multiple AFFF sites
Adamson, D. T., Kulkarni, P. R., Nickerson, A., Higgins, C. P., Field, J., Schwichtenberg, T., Newell, C., & Kornuc, J. J. (2022) · Environmental Advances · doi:10.1016/j.envadv.2022.100167 · Cited by 83 · see citing works
Robuck, A. R., Cantwell, M. G., McCord, J. P., Addison, L. M., Pfohl, M., Strynar, M. J., McKinney, R. A., Katz, D. R., Wiley, D. N., & Lohmann, R. (2020) · Environmental Science & Technology · doi:10.1021/acs.est.0c01951 · Cited by 83 · see citing works
Prevalence and Implications of Per- and Polyfluoroalkyl Substances (PFAS) in Settled Dust
Savvaides, T., Koelmel, J. P., Zhou, Y., Lin, E. Z., Stelben, P., Aristizabal‐Henao, J. J., Bowden, J. A., & Pollitt, K. J. G. (2021) · Current Environmental Health Reports · doi:10.1007/s40572-021-00326-4 · Cited by 81 · see citing works
Liu, T., Hu, L., Han, Y., Dong, L.-L., Wang, Y., Zhao, J., Liu, Y., Zhao, J., & Ying, G. (2022) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2022.157021 · Cited by 81 · see citing works
Self-citationShen, Y., Wang, L., Ding, Y., Liu, S., Li, Y., Zhou, Z., & Liang, Y. (2023) · Critical Reviews in Analytical Chemistry · doi:10.1080/10408347.2023.2231535 · Cited by 80 · see citing works
Lai, A., Clark, A. M., Escher, B. I., Fernandez, M., McEwen, L., Tian, Z., Wang, Z., & Schymanski, E. (2022) · Environmental Science & Technology · doi:10.1021/acs.est.2c00321 · Cited by 79 · see citing works
Strynar, M. J., McCord, J. P., Newton, S., Washington, J. W., Barzen-Hanson, K. A., Trier, X., Liu, Y., Dimzon, I. K. D., Bugsel, B., Zwiener, C., et al. (2023) · Journal of Exposure Science & Environmental Epidemiology · doi:10.1038/s41370-023-00578-2 · Cited by 79 · see citing works
Self-citationQiao, B., Song, D., Fang, B., Yu, H., Li, X., Zhao, L., Yao, Y., Zhu, L. Y., Chen, H., & Sun, H. (2023) · Environmental Science & Technology · doi:10.1021/acs.est.3c03997 · Cited by 77 · see citing works
Jeong, Y., Da Silva, K. M., Iturrospe, E., Fuiji, Y., Boogaerts, T., van Nuijs, A. L. N., Koelmel, J., & Covaci, A. (2022) · Journal of Hazardous Materials · doi:10.1016/j.jhazmat.2022.129378 · Cited by 76 · see citing works
Fu, Y., Ji, Y., Tian, Y., Zhang, F., Sheng, N., Dai, J.-Y., & Pan, Y. (2024) · Environmental Science and Technology · doi:10.1021/acs.est.4c06731 · Cited by 72 · see citing works
Meng, Y., Liu, W., Liu, X., Zhang, J., Peng, M., & Zhang, T. (2020) · Journal of Environmental Sciences · doi:10.1016/j.jes.2020.08.025 · Cited by 74 · see citing works
de Vega, R. G., Cameron, A., Clases, D., Dodgen, T. M., Doble, P., & Bishop, D. (2021) · Journal of Chromatography A · doi:10.1016/j.chroma.2021.462423 · Cited by 69 · see citing works
Kirkwood-Donelson, K. I., Dodds, J., Schnetzer, A., Hall, N. S., & Baker, E. S. (2023) · Science Advances · doi:10.1126/sciadv.adj7048 · Cited by 61 · see citing works
Gao, K., Chen, Y., Xue, Q., Fu, J., Fu, K., Fu, J., Zhang, A., Cai, Z., & Jiang, G. (2020) · TrAC Trends in Analytical Chemistry · doi:10.1016/j.trac.2020.116114 · Cited by 67 · see citing works
Self-citationMunoz, G., Desrosiers, M., Vetter, L., Duy, S. V., Jarjour, J., Liu, J., & Sauvé, S. (2020) · Environmental Science & Technology · doi:10.1021/acs.est.9b05102 · Cited by 61 · see citing works
Gauthier, J. R., & Mabury, S. A. (2022) · Analytical Chemistry · doi:10.1021/acs.analchem.1c05107 · Cited by 61 · see citing works
Wu, C., Wang, Q., Chen, H., & Li, M. (2022) · Water Research · doi:10.1016/j.watres.2022.118542 · Cited by 60 · see citing works
Wilsey, M. K., Taseska, T., Meng, Z., Yu, W., & Müller, A. M. (2023) · Chemical Communications · doi:10.1039/d3cc03176d · Cited by 60 · see citing works
A Critical Review of PFAS Analysis, Occurrence, and Fate in Wastewater Treatment Plants
Liu, J. X., & Charbonnet, J. A. (2025) · Environmental Science & Technology · doi:10.1021/acs.est.5c09949 · Cited by 63 · see citing works
Chen, Z., Chen, J., Tan, S., Yang, Z., & Zhang, Y. (2024) · Environmental Science & Technology · doi:10.1021/acs.est.3c07435 · Cited by 59 · see citing works
Joerss, H., Menger, F., Tang, J., Ebinghaus, R., & Ahrens, L. (2022) · Environmental Science & Technology · doi:10.1021/acs.est.1c07987 · Cited by 58 · see citing works
Gauthier, J. R., & Mabury, S. A. (2023) · Environmental Science & Technology · doi:10.1021/acs.est.3c01220 · Cited by 57 · see citing works
Machine learning–enhanced molecular network reveals global exposure to hundreds of unknown PFAS
Wang, X. Y., Yu, N., Jiao, Z., Li, L., Yu, H., & Wei, S. (2024) · Science Advances · doi:10.1126/sciadv.adn1039 · Cited by 57 · see citing works
Marchiandi, J., Szabo, D., Dagnino, S., Green, M. P., & Clarke, B. O. (2021) · Environmental Pollution · doi:10.1016/j.envpol.2021.116839 · Cited by 57 · see citing works
Zhang, Y., Li, J., & Su, G. (2021) · Environmental Science & Technology · doi:10.1021/acs.est.1c04402 · Cited by 56 · see citing works
Liu, L., Deng, S., Bao, Y., Huang, J. G., & Yu, G. (2022) · Environmental Science & Technology · doi:10.1021/acs.est.1c03210 · Cited by 57 · see citing works
Melo, T. M., Schauerte, M., Bluhm, A., Slaný, M., Paller, M. H., Bolan, N. S., Bosch, J., Fritzsche, A., & Rinklebe, J. (2022) · Journal of Hazardous Materials · doi:10.1016/j.jhazmat.2022.128771 · Cited by 55 · see citing works
A systematic review for non-targeted analysis of per- and polyfluoroalkyl substances (PFAS)
Megson, D., Bruce‐Vanderpuije, P., Idowu, I. G., Ekpe, O. D., & Sandau, C. D. (2025) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2024.178240 · Cited by 55 · see citing works
Sörengård, M., Gago-Ferrero, P., Kleja, D. B., & Ahrens, L. (2020) · Journal of Hazardous Materials · doi:10.1016/j.jhazmat.2020.123453 · Cited by 55 · see citing works
Merits, limitations and innovation priorities for heterogeneous catalytic platforms to destroy PFAS
Glass, S., Santiago-Cruz, H. A., Chen, W., Zhang, T., Guelfo, J. L., Rittmann, B. E., Senftle, T. P., Vikesland, P. J., Villagrán, D., Wang, H., et al. (2025) · Nature Water · doi:10.1038/s44221-025-00433-8 · Cited by 54 · see citing works
Self-citationNeuwald, I. J., Zahn, D., & Knepper, T. P. (2020) · Analytical and Bioanalytical Chemistry · doi:10.1007/s00216-020-02606-8 · Cited by 54 · see citing works
Kim, Y., Pike, K. A., Gray, R., Sprankle, J. W., Faust, J. A., & Edmiston, P. L. (2022) · Environmental Science Processes & Impacts · doi:10.1039/d2em00349j · Cited by 51 · see citing works
Fiedler, H., Kennedy, T. A., & Henry, B. J. (2020) · Integrated Environmental Assessment and Management · doi:10.1002/ieam.4352 · Cited by 49 · see citing works
Software Comparison for Nontargeted Analysis of PFAS in AFFF-Contaminated Soil
Nason, S. L., Koelmel, J. P., Zuverza‐Mena, N., Stanley, C., Tamez, C., Bowden, J. A., & Pollitt, K. J. G. (2020) · Journal of the American Society for Mass Spectrometry · doi:10.1021/jasms.0c00261 · Cited by 49 · see citing works
Firouzjaei, M. D., Zolghadr, E., Ahmadalipour, S., Taghvaei, N., Afkhami, F. A., Nejati, S., & Ellıott, M. (2021) · Environmental Chemistry Letters · doi:10.1007/s10311-021-01340-6 · Cited by 48 · see citing works
Poly– and perfluoroalkyl substances (PFAS) - recent advances in the aquatic environment analysis
Zarębska, M., & Bajkacz, S. (2023) · TrAC Trends in Analytical Chemistry · doi:10.1016/j.trac.2023.117062 · Cited by 48 · see citing works
PFΔScreen — an open-source tool for automated PFAS feature prioritization in non-target HRMS data
Zweigle, J., Bugsel, B., Fabregat‐Palau, J., & Zwiener, C. (2023) · Analytical and Bioanalytical Chemistry · doi:10.1007/s00216-023-05070-2 · Cited by 47 · see citing works
Methods for the analysis of endocrine disrupting chemicals in selected environmental matrixes
Metcalfe, C. D., Bayen, S., Desrosiers, M., Munoz, G., Sauvé, S., & Yargeau, V. (2021) · Environmental Research · doi:10.1016/j.envres.2021.112616 · Cited by 46 · see citing works
Genotoxicity assessment of per- and polyfluoroalkyl substances mixtures in human liver cells (HepG2)
Ojo, A. F., Peng, C., & Ng, J. C. (2022) · Toxicology · doi:10.1016/j.tox.2022.153359 · Cited by 46 · see citing works
Bil, W., Govarts, E., Zeilmaker, M. J., Woutersen, M., Bessems, J. G. M., Ma, Y., Thomsen, C., Haug, L. S., Lignell, S., Gyllenhammar, I., et al. (2022) · International Journal of Hygiene and Environmental Health · doi:10.1016/j.ijheh.2022.114071 · Cited by 46 · see citing works
Guo, M., Wu, F., Geng, Q., Wu, H., Song, Z., Zheng, G., Peng, J., Zhao, X., & Tan, Z. (2023) · Environmental Pollution · doi:10.1016/j.envpol.2023.121514 · Cited by 46 · see citing works
Gao, W., Lihua, Y., Lin, H., Meng, L., Yu, S., Li, J., Lin, Y., & Zheng, Y. (2024) · Critical Reviews in Environmental Science and Technology · doi:10.1080/10643389.2024.2306093 · Cited by 46 · see citing works
Sha, B., Schymanski, E., Ruttkies, C., Cousins, I. T., & Wang, Z. (2019) · Environmental Science Processes & Impacts · doi:10.1039/c9em00321e · Cited by 46 · see citing works
Zhang, J., Wen, X., Li, Y., Zhang, J., Li, X., Cheng, Q., Tian, Y., Ling, R., & Duan, Y. (2021) · Talanta · doi:10.1016/j.talanta.2021.122729 · Cited by 44 · see citing works
Ogunbiyi, O. D., Ajiboye, T. O., Omotola, E. O., Oladoye, P. O., Olanrewaju, C. A., & Quinete, N. (2023) · Environmental Pollution · doi:10.1016/j.envpol.2023.121705 · Cited by 44 · see citing works
Yao, Y., Meng, Y. D., Chen, H., Zhu, L. Y., & Sun, H. (2022) · Journal of Hazardous Materials · doi:10.1016/j.jhazmat.2022.129300 · Cited by 44 · see citing works
Tang, C., Liang, Y., Wang, K., Liao, J., Zeng, Y., Luo, X., Peng, X., Mai, B., Huang, Q., & Lin, H. (2023) · npj Clean Water · doi:10.1038/s41545-023-00220-6 · Cited by 43 · see citing works
Lauria, M. Z., Sepman, H., Ledbetter, T., Plassmann, M. M., Roos, A. M., Simon, M. J., Benskin, J. P., & Kruve, A. (2024) · Environmental Science & Technology · doi:10.1021/acs.est.3c07220 · Cited by 43 · see citing works
Brase, R. A., Schwab, H. E., Li, L., & Spink, D. C. (2021) · Chemosphere · doi:10.1016/j.chemosphere.2021.132830 · Cited by 43 · see citing works
Liu, L., Lü, M., Cheng, X. M., Yu, G., & Huang, J. G. (2022) · Environment International · doi:10.1016/j.envint.2022.107398 · Cited by 42 · see citing works
Li, X., Cui, D., Ng, B., Ogunbiyi, O. D., de Navarro, M. G., Gardinali, P. R., & Quinete, N. (2023) · Journal of Hazardous Materials · doi:10.1016/j.jhazmat.2023.131224 · Cited by 42 · see citing works
YUKIOKA, S., Tanaka, S., Suzuki, Y., Echigo, S., Kärrman, A., & Fujii, S. (2020) · Water Research · doi:10.1016/j.watres.2020.116207 · Cited by 42 · see citing works
Simplifying Nontargeted Analysis of PFAS in Complex Food Matrixes
Kaufmann, A., Butcher, P., Maden, K., Walker, S., & Widmer, M. (2022) · Journal of AOAC International · doi:10.1093/jaoacint/qsac071 · Cited by 42 · see citing works
MacNeil, A. D., Li, X., Amiri, R., Muir, D. C. G., Simpson, A. J., Simpson, M. J., Dorman, F. L., & Jobst, K. J. (2022) · Analytical Chemistry · doi:10.1021/acs.analchem.2c02325 · Cited by 42 · see citing works
Zhang, X., Lorenzo, R. A. D., Helm, P. A., Reiner, E. J., Howard, P. H., Muir, D. C. G., Sled, J. G., & Jobst, K. J. (2019) · Environment International · doi:10.1016/j.envint.2019.05.002 · Cited by 41 · see citing works
Dodds, J. N., Alexander, N. L. M., Kirkwood‐Donelson, K. I., Foster, M., Hopkins, Z. R., Knappe, D. R. U., & Baker, E. S. (2020) · Analytical Chemistry · doi:10.1021/acs.analchem.0c04359 · Cited by 41 · see citing works
- Authors
- Liu, Y., D'Agostino, L. A., Qu, G., Jiang, G., & Martin, J. W.
- Affiliations
- University of Alberta (CA)
- Chinese Academy of Sciences (CN)
- Stockholm University (SE)
- Corresponding author
- Qu, Guangbo
- Venue
- TrAC Trends in Analytical Chemistry
- Publisher
- Elsevier BV
- Published
- 2019-12
- Volume
- 121
- Pages
- 115420
- ISSN
- 0165-9936 (ISSN-L)
- OpenAlex
- W2916144014
- Cited by
- 344
- References
- 71
- Citations by year
- 2026: 47 · 2025: 63 · 2024: 52 · 2023: 62 · 2022: 51 · 2021: 32 · 2020: 32 · 2019: 5
- FWCI
- 13.05
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- TrAC Trends in Analytical Chemistry (publishedVersion, cc-by-nc-nd)
- Funders
- National Natural Science Foundation of China
- 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
- PFAS, high-resolution mass spectrometry, emerging PFASs, environmental contamination, human biofluids, commercial products, data processing strategies, organic fluorine, PFAS alternatives, source identification
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