Non-Target and Suspect Screening of Per- and Polyfluoroalkyl Substances in Airborne Particulate Matter in China
Open accessAbstract
Airborne particulate matter (APM) has an important role in inhalation exposure, especially in China. The environmental occurrence of conventional and unknown per- and polyfluoroalkyl substances (PFASs) in APM remains unclear. Therefore, in this study, a two-stage experiment was designed to identify potential PFASs and to investigate their distribution in APM. Indoor and outdoor APM samples were collected from five selected cities in China. Through PFAS homologue analysis and suspect screening, 50 peaks were identified with different confidence levels (levels 1-3). Among the identified PFASs, 34 emerging PFASs including p-perfluorous nonenoxybenzenesulfonate, 6:2 polyfluoroalkyl phosphate diester, n:2 fluorotelomer sulfonates, n:2 fluorinated telomer acids, n:2 chlorinated polyfluoroalkyl ether sulfonic acids, 1:n polyfluoroalkyl ether carboxylic acids (1:n PFECAs), perfluoroalkyl dioic acids (PFdiOAs), hydro-substituted perfluoroalkyl dioic acids (H-PFdiOAs), and unsaturated perfluorinated alcohols (UPFAs) were identified in APM. In particular, 1:n PFECAs, PFdiOAs, H-PFdiOAs, and UPFAs were first detected in APM. Although human exposure to perfluorooctanoic acid via inhaled APM was noted to not be a risk (hazard quotient <0.1) in this study, the expansion of the PFASs screened in APM implies that human exposure to PFASs might be much more serious and should be considered in future risk assessments in China.
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- Findingown data
The study identified 34 emerging PFASs in airborne particulate matter, including OBS, 6:2 diPAP, n:2 FTSs, n:2 FTAs, n:2 Cl-PFESAs, 1:n PFECAs, PFdiOAs, H-PFdiOAs, and UPFAs.
“Among the identified PFASs, 34 emerging PFASs including p-perfluorous nonenoxybenzenesulfonate, 6:2 polyfluoroalkyl phosphate diester, n:2 fluorotelomer sulfonates, n:2 fluorinated telomer acids, n:2 chlorinated polyfluoroalkyl ether sulfonic acids, 1:n polyfluoroalkyl ether carboxylic acids (1:n PFECAs), perfluoroalkyl dioic acids (PFdiOAs), hydro-substituted perfluoroalkyl dioic acids (H-PFdiOAs”
Quote in the paperSubstantial claim - Findingown data
In this study, human exposure to PFOA through inhaled airborne particulate matter was not a risk, with a hazard quotient below 0.1.
“Although human exposure to perfluorooctanoic acid via inhaled APM was noted to not be a risk (hazard quotient <0.1) in this study,”
Quote in the paperNot a substantial claim - Findingown data
Using PFAS homologue analysis and suspect screening, the study identified 50 peaks at confidence levels 1 through 3.
“Through PFAS homologue analysis and suspect screening, 50 peaks were identified with different confidence levels (levels 1-3).”
- Also stated in: § Suspect Screening. · plain
“Overall, through PFAS homologue analysis and suspect screening, 50 peaks including 16 peaks for legacy PFASs and 34 for emerging PFASs were identified as level 3 or above.”
Quote in the paperSubstantial claim - Also stated in: § Suspect Screening. · plain
- Findingown data
1:n PFECAs, PFdiOAs, H-PFdiOAs, and UPFAs were detected in airborne particulate matter for the first time in this study.
“In particular, 1:n PFECAs, PFdiOAs, H-PFdiOAs, and UPFAs were first detected in APM.”
- Also stated in: § Suspect Screening. · plain
“Furthermore, this study was the first to find and identify 1:n PFECAs, PFdiOA, H-PFdiOA, and UPFAs in APM;”
Quote in the paperSubstantial claim - Also stated in: § Suspect Screening. · plain
- Findingown data
Eight UPFAs were identified as level 3.
“Thus, eight UPFAs were identified as level 3 (mass error = 0.4-4.4ppm).”
Quote in the paperNot a substantial claim
- Findingcitation
Compared with dust samples from various countries, the 6:2 diPAP-to-legacy PFAS ratio in outdoor APM was relatively low.
“Compared with the results of dust samples from different countries, 74 this ratio is relatively low”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [74] source
Not checked in the free run.
- Findingown data
Thirteen legacy PFASs, including C4, C6, and C8 PFSAs; C5-14 PFCAs; and 6:2 diPAP, were quantified in outdoor airborne particulate matter samples.
“Thirteen legacy PFASs, including C4, C6, and C8 PFSAs; C5-14 PFCAs; and 6:2 diPAP were quantified in the outdoor APM samples;”
Quote in the paperSubstantial claim - Findingown data
PFOA remained the dominant component in both indoor and outdoor APM.
“Because PFOA was still the predominant component in indoor and outdoor APM, we assessed the health risk related to the inhalation of PFOA in APM.”
Quote in the paperSubstantial claim - Findingown data
The patterns of PFASs in outdoor airborne particulate matter varied markedly.
“The patterns of PFASs in outdoor APM were found to vary markedly.”
Quote in the paperSubstantial claim - Findingown data
The summed concentration of the analyzed PFASs in indoor APM ranged from 3.87 to 375 pg m-3.
“and the sum of the concentrations of the analyzed PFASs ranged from 3.87 to 375 pg m -3 .”
Quote in the paperNot a substantial claim - Findingown data
The contribution of 6:2 diPAP to the quantified legacy PFASs was nearly 0%-8.08%.
“however, this accounted for nearly 0%-8.08% of the quantified legacy PFASs.”
Quote in the paperNot a substantial claim - Findingown data
After standardization by sampling volume, the total peak area of possible PFASs in indoor airborne particulate matter was 1.9 times higher than in outdoor airborne particulate matter, with a range of 1.3-2.9.
“After standardizing by sampling volume, the total peak area of possible PFASs in indoor APM was noted to be 1.9 times (range: 1.3-2.9)higher than that in outdoor APM.”
Quote in the paperSubstantial claim - Findingreasoning
Three H-PFdiOAs were identified as level 3 because the position of the substituted hydrogen atom was uncertain.
“Because of the uncertainty regarding the substituted position of the hydrogen atom, three H-PFdiOAs were identified as level 3.”
Quote in the paperNot a substantial claim - Findingown data
C15-C18 PFCAs were detected in airborne particulate matter from all sampled cities except Guiyang.
“In our result, C15-C18 PFCAs were detected in APM from all cities, except for GY,”
Quote in the paperNot a substantial claim - Findingown data
In outdoor APM, the coarse-to-fine particle ratio for PFOA (>2.5 μm versus <2.5 μm) was 1.5 ± 0.48.
“For outdoor APM, the ratio of PFOA in a coarse particle fraction (>2.5 μm) vs. a fine particle fraction (<2.5 μm) was 1.5 ± 0.48,”
Quote in the paperNot a substantial claim - Findingown data
Three n:2 FTAs and three n:2 FTSs were identified in the PFAS homologue analysis.
“Three n:2 FTAs and three n:2 FTSs were identified in our PFAS homologue analysis (mass error = 2.2-4.8ppm).”
Quote in the paperSubstantial claim - Findingown data
In this study, PAPs were detected and quantified in outdoor airborne particulate matter.
“were detected and quantified in outdoor APM in our study.”
Quote in the paperSubstantial claim - Findingown data
The total concentrations of legacy PFASs (PFSAs and PFCAs) in outdoor airborne particulate matter ranged from 4.87 to 4509 pg/m3, with a mean of 351 pg/m3.
“the total concentrations of legacy PFASs (PFSAs and PFCAs) ranged from 4.87 to 4509 pg m -3 with a mean value of 351 pg m -3 (Table S9).”
Quote in the paperSubstantial claim - Findingown data
PFECAs with more than eight perfluorinated carbon atoms were detected in airborne particulate matter for the first time in this study.
“To the best of our knowledge, in this study, PFECAs with more than eight perfluorinated carbon atoms in APM were detected for the first time.”
Quote in the paperSubstantial claim - Findingown data
For PFHxA, PFOA, and the sum of legacy PFASs, mass fractions in PM2.5 were mostly above 50%.
“Their mass fractions in PM2.5 were also mostly >50%.”
Quote in the paperNot a substantial claim - Findingown data
A large number of PFASs with low detection frequencies were noted in Changshu, Ji'nan, and Nanjing, all of which are industrial cities.
“Actually, a large number of PFASs with low detection frequencies were noted in CS, JN, and NJ, all of which are industrial cities (Figure 2 and SI Tables S8).”
Quote in the paperNot a substantial claim - Findingown data
Thirteen peaks with m/z between 362.9690 and 912.9296 were identified as PFCAs.
“Thirteen peaks corresponding to m/z between 362.9690 and 912.9296 were identified as PFCAs.”
Quote in the paperSubstantial claim - Findingown data
In the MS/MS spectrum, fragments at m/z 82.9655 and m/z 450.9402 were observed.
“Fragments with m/z 82.9655 (FSO2 -, mass error = 4.7 mDa) and m/z 450.9402 (C8F16ClO -, mass error = 1.4 mDa) were observed in the MS/MS spectrum.”
Quote in the paperSubstantial claim - Findingown data
This study estimated mean (maximum) daily PFOA intake via inhaled APM as 0.47 (1.63) and 0.63 (1.80) ng day-1 for toddlers and adults, respectively.
“Our study estimated the mean (maximum) value of the daily intake of PFOAs via inhaled APM to be 0.47 (1.63) and 0.63 (1.80) ng day -1 for toddlers and adults, respectively.”
Quote in the paperSubstantial claim - Findingown data
For PFOA, hazard quotient values in the studied cities were generally below 0.1.
“The HQ values for PFOA in the different studied cities were generally <0.1,”
Quote in the paperSubstantial claim - Findingown data
The observed fragmentation resembled that of the 6:2 Cl-PFESA standard.
“The fragmentation was similar to the 6:2 Cl-PFESA standard.”
Quote in the paperSubstantial claim - Findingreasoning
Many peaks at levels 4 and 5 remained without assigned structures in this study.
“Finally, there were still many peaks without structures with levels 4 and 5 in our study.”
Quote in the paperNot a substantial claim - Findingown data
Every identified PFAS was detected in negative ionization mode.
“Second, all identified PFASs were detected in the negative ionization mode.”
Quote in the paperNot a substantial claim - Findingown data
8:2 Cl-PFESA was identified at confidence level 2b in the APM samples.
“Thus, 8:2 Cl-PFESA was identified as level 2b in the APM samples (mass error = 4.1 ppm).”
Quote in the paperNot a substantial claim - Findingown data
This study did not find positively charged or zwitterionic PFASs.
“We did not find positively charged and zwitterionic PFASs in our study.”
Quote in the paperNot a substantial claim - Premisecitation
Frequent and extensive detection of emerging or unknown PFASs in the environment highlights the risk to humans from continuous exposure to increasing amounts of such compounds.
“Frequent and extensive detection of emerging/unknown PFASs within the environment highlights the risk to humans of continuous exposure to increasing amounts of such compounds.”
Quote in the paperSubstantial claim0 of 3 sources checked - Interpretationown data
This ratio suggests that PFOA preferentially associates with coarser particles.
“which suggests preferential attraction of PFOA to coarser particles.”
Quote in the paperNot a substantial claim - Interpretationreasoning
Variations in sampling methods and location may explain the inconsistencies observed in particle-size distributions.
“However, differences in terms of both sampling methods and location could account for the observed inconsistencies in the particle-size distributions.”
Quote in the paperNot a substantial claim - Premisecitation
According to the International Commission on Radiological Protection model, smaller airborne particulate matter can penetrate into deeper regions of the respiratory system.
“According to the International Commission on Radiological Protection model, smaller APM could penetrate into deeper regions of the respiratory system.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [39] 1994
Not checked in the free run.
- Interpretationreasoning
Because of similarities in retention time and structure, 1:n PFECAs might be used as alternatives to PFCAs.
“Considering their similarities in terms of RT and structure, 1:n PFECAs might be used as alternatives to PFCAs,”
Quote in the paperNot a substantial claim - Interpretationown data
The curve fluctuations suggest that the characteristics of each indoor environment played an important role in shaping PFAS distribution in indoor APM.
“However, the fluctuations in the curves imply that the features of each specific indoor environment were important in influencing the distribution of PFASs in indoor APM.”
Quote in the paperNot a substantial claim - Interpretationreasoning
Because the comparison involved different media, a robust conclusion about lower diPAP use in China is difficult to draw.
“However, because different media were analyzed, it is difficult to draw a robust conclusion in this regard.”
Quote in the paperSubstantial claim - Study design and conductown data
Procedural recovery of target PFASs ranged from 74.9% to 103%.
“The procedural recovery of target PFASs ranged from 74.9% to 103%;”
Quote in the paperNot a substantial claim - Study design and conductown data
All target analytes in the procedural blank were either not detected or were below half of their corresponding limits of quantification.
“All target analytes in the procedural blank were either not detected or were below half of their corresponding LOQs.”
Quote in the paperSubstantial claim - Interpretationown data
PFOA has always been found to be the predominant compound in outdoor airborne particulate matter.
“However, PFOA was always found to be the predominant compound in outdoor APM.”
Quote in the paperNot a substantial claim - Premisecitation
PFASs are distributed differently in indoor and outdoor environments.
“Furthermore, PFASs are distributed differently in indoor and outdoor environments.”
Quote in the paperSubstantial claim0 of 3 sources checked - Interpretationown data
Relative to dust ingestion, inhalation of APM may be non-negligible.
“Therefore, compared with dust ingestion, inhalation of APM might be non-negligible.”
Quote in the paperSubstantial claim - Premisecitation
Most positively charged and zwitterionic PFASs have been found in AFFF, commercial surfactants, and AFFF-impacted groundwater.
“Most of the positively charged and zwitterionic PFASs have been discovered in AFFF, commercial surfactants, and groundwater affected by AFFF [20][21][22][23] .”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [20][21][22][23]
Not checked in the free run.
- Interpretationown data
Most of these unidentified peaks had low intensity and/or no MS/MS spectrum.
“The reason for this is that most peaks had a low intensity and/or were without an MS/MS spectrum.”
Quote in the paperSubstantial claim - Premisecitation
Most non-target PFAS screening studies have focused on PFAS sources such as AFFF and wastewater, and on contaminated samples.
“Most studies on the non-target screening of PFASs are concerned with the PFAS source (e.g., AFFF [20][21][22][23] and wastewater 24 ) and contaminated samples (water affected by AFFF or wastewater 20,25 ).”
Quote in the paperSubstantial claim0 of 4 sources checked - Interpretationown data
Inhalation of PFOA through APM may not be a critical human exposure issue in China.
“Thus, human exposure to PFOA via inhaled APM might not be a critical issue in China.”
Quote in the paperSubstantial claim - Interpretationown data
In some areas of China, inhalation exposure to PFOA is at least tenfold below its reference dose.
“which suggests that PFOA exposure via inhalation in some areas of China is at least one order of magnitude lower than its RfD value.”
Quote in the paperSubstantial claim - Interpretationreasoning
Thus, the evidence was insufficient to identify the structures.
“Thus, there was insufficient evidence for the identification of structures.”
Quote in the paperSubstantial claim
- May combine two claims. 36
- Classified as probably not a substantial claim. 34
May combine two claims.
Findingown dataPFOS, PFHxS, and PFBS were identified and confirmed as level 1 by standards.
“Then, PFOS, PFHxS, and PFBS were confirmed as level 1 by standards (ΔRT = 0.03-0.05min).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataPFOA was the predominant compound in outdoor airborne particulate matter, contributing 48.1% on average (range 19.4%-94.9%), followed by PFHxA at 9.23% (0.58%-27.4%) and PFOS at 6.09% (0.08%-17.6%).
“The predominant compound in outdoor APM was PFOA, which contributed 48.1% (19.4%-94.9%),followed by PFHxA and PFOS, which contributed 9.23% (0.58%-27.4%) and 6.09% (0.08%-17.6%) on average, respectively (Figure 3).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown data6:2 diPAP was found only in outdoor airborne particulate matter, at a mean concentration of 1.97 pg m-3.
“Here, 6:2 diPAP was detected only in outdoor APM with a mean concentration of 1.97 pg m -3 ;”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataPerfluorodecanedioic acid and perfluorododecanedioic acid were confirmed as level 1 by standards, and the other five PFdiOAs were identified as level 2b.
“Perfluorodecanedioic acid and perfluorododecanedioic acid were confirmed as level 1 by standards (ΔRT = 0.02-0.04min, mass error 1.2-3.1 ppm).”
- Also stated in: § Perfluoroalkyl dioic acids (PFdiOAs). · plain
“The other five PFdiOAs were identified as level 2b based on the exact mass (mass error = 0.4-2.3ppm) and MS/MS spectrum.”
Quote in the paperNot a substantial claim- Also stated in: § Perfluoroalkyl dioic acids (PFdiOAs). · plain
May combine two claims.
FindingcitationUsing established criteria, 125 peaks were assigned confidence levels: 20 level 1, 19 level 2, 11 level 3, 18 level 4, and 57 level 5.
“Based on established criteria 47 , levels were assigned to 125 peaks; 20 peaks were identified as level 1 by standards, 19 peaks were identified as level 2 by the MS/MS spectrum, 11 peaks were identified as level 3 with uncertain substituent positions by the MS/MS spectrum, 18 peaks were identified as level 4 with molecular formulae, and 57 peaks were identified as level 5 only with m/z and RT.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [47] source
Not checked in the free run.
May combine two claims.
FindingcitationThe indoor APM PFAS profile agreed with a North American report but differed from a Tromsø, Norway, report based on PFSAs.
“The profile obtained is consistent with a report based on PFASs in North America but different from that based on PFSAs in Tromsø (Norway).29,42”
Quote in the paperNot a substantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingown dataPFAS homologue screening selected 121 peaks, and suspect screening selected another 4 peaks.
“Through PFAS homologue screening 121 peaks were selected, while another 4 peaks were selected by suspect screening.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe intensity ratios of 1:n PFECAs to PFCAs with the same carbon atom number ranged from 21% to 77%, indicating a close contribution.
“and the intensity ratios of 1:n PFECAs vs. PFCAs with the same carbon atom number ranged from 21% to 77%, indicating a close contribution.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataFour PFASs, including 6:2 diPAP, 6:2 Cl-PFESA, 8:2 Cl-PFESA, and OBS, were selected from the suspect list and identified based on their MS/MS spectra.
“Based on molecular formulae, another four PFASs, including 6:2 diPAP (CAS No. 57677-95-9), 6:2 chlorinated polyfluoroalkyl ether sulfonic acids (6:2 Cl-PFESA, CAS No. 756426-58-1), 8:2 Cl-PFESA, and p-perfluorous nonenoxybenzenesulfonate (OBS, CAS No. 271794-15-1), were selected from the suspect list (mass error = 3.4-4.7 ppm).”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataHierarchical clustering based on Pearson correlation coefficients showed that PFAS patterns in indoor airborne particulate matter were similar to each other and distinct from outdoor patterns.
“Based on their Pearson's correlation coefficients, the hierarchical clustering of APM samples showed that the patterns of PFASs in indoor APM were similar; however, these patterns were distinct from those in outdoor APM (Figure S16).”
Quote in the paperSubstantial claimMay combine two claims.
FindingcitationPFAS concentrations found in this study were similar to those from two UK cities (299 and 325 pg/m3) but much higher than those reported for Norway and Ireland.
“Concentrations of PFASs found in this study were similar to results obtained in two cities in the UK (299 and 325 pg m -3 ) but much higher than those noted for Norway and Ireland.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [71] source
Not checked in the free run.
May combine two claims.
Findingown dataPFHxA, PFOA, and the sum of legacy PFASs were readily associated with finer particles.
“The convex line shows that PFHxA, PFOA, and ∑legacy PFASs were easily absorbed in finer particles.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataPFOA and PFHxA dominated indoor APM, contributing 41.2% (1.0%-71.6%) and 28.8% (14.4%-53.3%), respectively.
“PFOA and PFHxA were the predominant components and accounted for 41.2% (1.0%-71.6%)and 28.8% (14.4%-53.3%),respectively (Figure S17a).”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataIn indoor APM, most PFCAs were detected in every sample; PFPeA was the exception, detected in only three rooms.
“Most PFCAs were detected in all the indoor APM samples, except for PFPeA, which was detected only in three rooms.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataPFSAs occurred in indoor APM but had low detection frequencies.
“PFSAs were present but with low detection frequencies”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataLow intensity and missing MS/MS spectra prevented identification of PFAS structures.
“However, the low intensity and the absence of the MS/MS spectrum prevented the identification of PFAS structures.”
Quote in the paperSubstantial claimMay combine two claims.
Findingown dataUnder a worst-case scenario, inhalation exposure could reach 6.2 ng day-1 for toddlers and 6.0 ng day-1 for adults.
“In a worst-case scenario, inhalation exposure for toddlers and adults could be as high as 6.2 and 6.0 ng day -1 , respectively.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Findingnone givenIn positive-mode measurements, only 15 peaks were selected, all level 5 in SI Table S10.
“In positive mode measurements, only 15 peaks (level 5 in SI Table S10) were selected.”
Quote in the paperNot a substantial claimMay combine two claims.
Findingown dataThe study identified known PFASs including PFOS and PFOA, and emerging unknown PFASs including 1:n PFECAs, PFdiOAs, H-PFdiOAs, and UPFAs.
“However, we successfully identified well-known PFASs such as PFOS and PFOA, as well as emerging unknown PFASs (1:n PFECAs, PFdiOAs, H-PFdiOAs, and UPFAs).”
Quote in the paperSubstantial claimClassified as probably not a substantial claim.
PremisecitationNon-target analysis combined with high-resolution mass spectrometry makes it possible to detect and recognize a wide range of substances.
“Non-target analysis combined with high-resolution mass spectrometry (e.g., Orbitrap and quadrupole time of flight, QTOF) makes it possible to detect and recognize a wide range of substances.”
Quote in the paperSubstantial claim0 of 3 sources checkedMay combine two claims.
InterpretationreasoningThe broader set of PFASs found in airborne particulate matter suggests that human exposure to PFASs may be more serious than indicated by PFOA alone and should be included in future risk assessments in China.
“the expansion of the PFASs screened in APM implies that human exposure to PFASs might be much more serious and should be considered in future risk assessments in China.”
Quote in the paperNot a substantial claimMay combine two claims.
PremisecitationDespite restrictions and phase-out of PFOS and PFOA in developed countries, alternatives such as short-chain PFCAs, short-chain PFSAs, and PAPs have been put into production.
“Despite the restrictions and phase-out of PFOS and PFOA in developed countries, 8 alternatives, such as short-chain perfluoroalkyl carboxylates (PFCAs), short-chain perfluoroalkyl sulfonates (PFSAs), and polyfluoroalkyl phosphate esters (PAPs) have been put into production.”
Quote in the paperSubstantial claim0 of 3 sources checked- cites [8] Oil Technics. Over the last 15+ years, the Fire Fighting Foam Industry has been working to understand how environmental pollution arising from the use of non-C6 fluorinated AFFF concentrates can be removed. http://www.firefightingfoam.com/knowledge-base/c6-technology/.
Not checked in the free run.
- cites [9] source
Not checked in the free run.
- cites [10] 2006
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationPFOS is listed in Annex B of the Stockholm Convention, and PFOA has been recommended as a persistent organic pollutant by the POPs Review Committee.
“Thus, PFOS has been listed in the Annex B of the Stockholm Convention 6 and PFOA has been recommended as a persistent organic pollutant (POP) by the POPs Review Committee.”
Quote in the paperNot a substantial claim0 of 2 sources checked- cites [6] Stockholm Convention. The New POPs Under the Stockholm Convention. 2009; http://chm.pops.int/Programmes/NewPOPs/The9newPOPs/tabid/672/language/en-US/Default.aspx.
Not checked in the free run.
- cites [7] Stockholm Convention. POPRC Recommendations for listing Chemicals. http://www.pops.int/TheConvention/ThePOPs/ChemicalsProposedforListing/tabid/2510/Default.aspx.
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationPFOS and PFOA have been recognized as pollutants because of their environmental persistence and toxicity.
“Some of these compounds, e.g., perfluorooctane sulfonate (PFOS) and perfluorooctanoic acid (PFOA), have been recognized as pollutants because of their environmental persistence and toxicity.”
Quote in the paperNot a substantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationAccording to a Swedish Chemicals Agency report, 2060 PFASs have been identified on the global market.
“According to a report by the Swedish Chemicals Agency, there are 2060 PFASs identified on the global market.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [2] KEMI (Swedish Chemicals Agency). Occurrence and Use of Highly Fluorinated Substances and Alternatives. 2015; http://www.kemi.se/en/global/rapporter/2015/report-7-15-occurrence-and-use-of-highlyfluorinated-substances-and-alternatives.pdf.
Not checked in the free run.
May combine two claims.
Study design and conductown dataSensitivity testing with known PFAS standard solutions showed that several PFASs were detected at 0.1 μg/L and all PFAS standards were detected at 5 μg/L.
“The sensitivity of the non-target analysis process was tested using several known PFAS standard solutions, which proved that several PFASs were detected at the level of 0.1 μg L -1 and all the PFAS standards were detected at the level of 5 μg L -1 (Table S5).”
Quote in the paperNot a substantial claimClassified as probably not a substantial claim.
PremisecitationExposure to fine particulate matter (PM2.5) is a primary factor leading to adverse health effects.
“Given that fine particulate matter (PM2.5)exposure is a primary factor leading to adverse health effects,”
Quote in the paperSubstantial claim0 of 2 sources checkedMay combine two claims.
InterpretationreasoningAlthough the indoor environment was a primary source of PFASs in the outdoor environment, outdoor-specific sources such as fluorination plants were also important contributors to PFAS contamination.
“Although the indoor environment was a primary source of PFASs in the outdoor environment, outdoor specific sources like fluorination plants were also important contributing factors to contamination by PFASs.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based).
Premisenone givenThe size of airborne particulate matter affects the region in which it is deposited in the respiratory system.
“On the other hand, the size of APM affects the region in which APM is deposited in the respiratory system.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe size distribution of organic chemicals varies depending on the substances.
“On the one hand, the size distribution of organic chemicals varies depending on substances.”
Quote in the paperNot a substantial claim0 of 3 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationPolyfluoroalkyl phosphate esters are widely used in food packaging material.
“PAPs, which are used widely in food packaging material 8”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [8] Oil Technics. Over the last 15+ years, the Fire Fighting Foam Industry has been working to understand how environmental pollution arising from the use of non-C6 fluorinated AFFF concentrates can be removed. http://www.firefightingfoam.com/knowledge-base/c6-technology/.
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationIn Japan, PFOA in airborne dust was taken up more readily in the respirable fraction (1.1-11.4 μm) than in the smaller fraction (<1.1 μm).
“The particle-size distribution of PFOA in Japan showed that PFOA in airborne dust was absorbed more easily in the respirable fraction (1.1-11.4μm) than the smaller fraction (<1.1 μm).75”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [75] source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationDreyer et al. found that PFOA was predominantly in the smallest fraction (<0.14).
“Dreyer et al. observed that PFOA existed predominantly in the smallest fraction (<0.14).72”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [72] source
Not checked in the free run.
Classified as probably not a substantial claim.
PremisecitationSeveral emerging PFASs, such as polyfluoroether sulfonates, have been detected in airborne particulate matter.
“Furthermore, several emerging PFASs (e.g., polyfluoroether sulfonates) have been detected in airborne particulate matter (APM).”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [31] source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationChina has experienced frequent and severe fog and haze events.
“Recently, China has been suffering from frequent and severe fog/haze events.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [32] source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductnone givenTo ensure a mass error below 5 ppm, the instrument was automatically calibrated every five sample injections.
“To guarantee a mass error <5 ppm, the instrument was automatically calibrated every 5 sample injections using a calibration solution delivered via a calibration delivery system (AB Sciex).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductown dataAdditional PFCA or PFSA homologues were checked for all standards, and quantitation errors were controlled at 0.6%.
“Additional PFCA or PFSA homologues were checked for all standards, and the errors of quantitation were controlled at 0.6% (Table S2).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationPolyfluoroalkyl phosphate esters belong to a class of precursors of perfluoroalkyl carboxylic acids.
“and are a class of PFCA precursors, 73”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [73] source
Not checked in the free run.
May combine two claims.
InterpretationreasoningThe presence of C15-C18 PFCAs in airborne particulate matter might be due to local fluorine chemical plants and/or long-range transport from a manufacturing plant.
“their existence in APM might be due to the presence of local fluorine chemical plants and/or long-range transport from a manufacturing plant.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Premisecitationn:2 FTAs and n:2 FTSs are believed to be principal degradation products of fluorotelomer surfactants and are applied as alternatives to PFOS in metal plating.
“It is believed that n:2 FTAs and n:2 FTSs are principal degradation products of fluorotelomer surfactants 59,60 and applied as alternatives to PFOS in metal plating.”
Quote in the paperNot a substantial claim0 of 3 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationEarlier studies on PFAS particle-size distributions have reported differing patterns in outdoor APM.
“Previous studies investigating particle-size distributions of PFASs have reported different features in outdoor APM.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing), S4 (based). May combine two claims.
Premisenone givenCompared with HPLC-QTOF, HPLC-QqQ has higher sensitivity and can detect PFASs at lower levels.
“Compared with HPLC-QTOF, HPLC-QqQ has a higher sensitivity and could detect PFASs with lower levels.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductnone givenThe sensitivity of QTOF and its mass accuracy were noted to decrease at low concentrations.
“Furthermore, the sensitivity of QTOF and its mass accuracy were noted to decrease at low concentrations.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
PremisecitationOBS has been used as a surfactant in oil production and has been detected in surface water around an oilfield in China.
“This compound has been used as a surfactant in oil production and has been detected in the surface water around an oilfield in China.”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [68] source
Not checked in the free run.
May combine two claims.
Study design and conductown dataThe limits of quantification for target analytes were 0.17-0.45 pg/m3 for outdoor samples and 0.61-1.6 pg/m3 for indoor samples.
“The LOQs for each analyte were 0.17-0.45and 0.61-1.6pg m -3 for the outdoor and indoor samples, respectively.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Premisecitation6:2 Cl-PFESA is a principal component of F-53B, has been used in the Chinese chrome-plating industry for about 30 years, and has been detected in wastewater, fish, human serum, and human placenta.
“This compound, which is a principal component of F-53B, has been used in the Chinese chrome-plating industry for about 30 years 63 and has been detected in wastewater, 64 fish, 65 human serum, 66 and even human placenta.”
Quote in the paperNot a substantial claim0 of 3 sources checkedClassified as probably not a substantial claim.
PremisecitationPrevious studies on organophosphate flame retardants found that ignoring particle-size characteristics in exposure assessment could overestimate the exposure level.
“Previous studies on organophosphate flame retardants have found that ignoring particle-size characteristics in exposure assessment could overestimate the exposure level.”
Quote in the paperSubstantial claim0 of 1 sources checked- cites [40] source
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningThe Chinese population faces a substantial health risk from PM2.5 exposure.
“it is evident that the Chinese population is confronted with a substantial health risk.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationSources of PFASs in the indoor environment are generally common, such as carpets, outdoor equipment, and paper products.
“The sources of PFASs in the indoor environment were generally common, such as carpets, outdoor equipment, and paper products.”
Quote in the paperNot a substantial claim0 of 2 sources checkedProbably not a substantial claim: may not pass S3 (load-bearing). May combine two claims.
Study design and conductown dataAfter internal standards were added to each sample, the mass error was 1.5 ppm, with a range of 0.1-4.8 ppm.
“Additionally, several internal standards were added to each sample and the mass error was 1.5 ppm (0.1-4.8 ppm).”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningThis relatively low ratio may indicate that diPAP use in China is comparatively lower.
“which could indicate comparatively lower use of diPAPs in China.”
Quote in the paperNot a substantial claimMay combine two claims.
Study design and conductown dataThere was no difference between PFAS levels in trip blanks and procedural blanks, suggesting that no contamination occurred during travel and storage.
“There was no difference between the level of PFAS in the trip and procedural blanks, suggesting that no contamination occurred during travel and storage.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationThe deposition efficiency of particulate matter in the respiratory tract may depend on particle size.
“It is known that the deposition efficiency of PM in the respiratory tract might vary with PM size.39”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [39] 1994
Not checked in the free run.
Probably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationEricson et al. estimated mean and maximum PFOA exposure from house dust as 0.48 (0.65) and 1.05 (2.15) ng day-3 for toddlers and adults, respectively, in average-case scenarios.
“Ericson et al. calculated the mean and maximum PFOA exposure from house dust to be 0.48 (0.65) and 1.05 (2.15) ng day -3 , respectively, in average case scenarios for toddlers (adults).30”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [30] source
Not checked in the free run.
Probably not a substantial claim: may not pass S2 (checkable).
InterpretationreasoningIn non-target PFAS screening, specificity and coverage must be balanced.
“Therefore, there is a balance between specificity and coverage in the non-target screening of PFASs.”
Quote in the paperNot a substantial claim- Rests on an assumption: General environmental samples contain more interfering substances and lower PFAS levels than source or contaminated samples.
Probably not a substantial claim: may not pass S3 (load-bearing).
Study design and conductcitationConfidence levels for each molecule and proposed structure were assigned using established criteria.
“The confidence level for each molecule and its proposed structure was assigned based on established criteria.47”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [47] source
Not checked in the free run.
May combine two claims.
Study design and conductnone givenEven though the ENVI-carb cartridge is effective for legacy PFASs, some unknown PFASs may have been lost during sample preparation.
“First, although the ENVI-carb cartridge has been shown to be effective for analyzing legacy PFASs, it is possible that several unknown PFASs were removed during sample preparation.”
Quote in the paperNot a substantial claimMay combine two claims.
Interpretationown dataTarget analysis and health risk assessment suggest that PFAS distributions in Chinese APM may be locally or regionally specific, reflecting atmospheric conditions and the locations of the fluorine chemical industry.
“Our target analysis and health risk assessment suggest that the distributions of PFASs in APM in China might be locally/regionally specific because of the atmosphere and the geographical locations of the fluorine chemical industry in the country.”
Quote in the paperSubstantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
InterpretationreasoningClean-up during PFAS extraction may be another reason these positively charged and zwitterionic PFASs were not found.
“Another reason for not finding these PFASs could be the clean-up conducted during the extraction of PFASs.”
Quote in the paperNot a substantial claimProbably not a substantial claim: may not pass S3 (load-bearing).
PremisecitationPrior research has identified air and dust as potentially important PFAS exposure pathways.
“Previous studies have found that air and dust are potentially important pathways to PFAS exposure.29”
Quote in the paperNot a substantial claim0 of 1 sources checked- cites [29] source
Not checked in the free run.
The paper relies on this without support.
Prior exploratory PFAS screening efforts have not considered airborne particulate matter as an exposure source.
“However, similar exploratory efforts toward PFAS screening have not considered these exposure sources.”
The paper relies on this without support.
The five selected cities are representative of urban China for PFAS contamination in airborne particulate matter.
“Indoor and outdoor APM samples were collected from five selected cities in China.”
“During 2014-2015, we collected indoor and outdoor APM samples from five selected cities in China: Beijing (BJ), Ji'nan (JN), Nanjing (NJ), Changshu (CS), and Guiyang (GY), with two sampling sites per city”
The paper relies on this without support.
Inhalation rate varies with activity level and age group.
“Moreover, the inhalation rate is related to activity level and age group.”
The paper relies on this without support.
General environmental samples contain more interfering substances and lower PFAS levels than source or contaminated samples.
“However, general environmental samples contain more interfering substances and a lower level of PFASs.”
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?
New classes of PFAS have been identified in the environment and are gaining worldwide attention.
“New classes of PFAS have been identified in the environment and are gaining worldwide attention.”
From Worldwide trends in tracing poly- and perfluoroalkyl substances (PFAS) in the environment (2019) · cites this paper as [16]
Novel PFAS have been identified by suspected and non-targeted screening of airborne particles, water, sediments and biological samples.
“Novel PFAS have been identified by suspected and non-targeted screening of airborne particles [16], water [17], sediments [17] and biological samples [18,19] (Table 1).”
From Worldwide trends in tracing poly- and perfluoroalkyl substances (PFAS) in the environment (2019) · cites this paper as [16]
Pretreatment procedures initially optimised for anionic PFAS measurement are susceptible to loss of PFAS when applied to novel PFAS possessing different chemical properties.
“These pretreatment procedures initially optimised for anionic PFAS measurement are susceptible to loss of PFAS when applied to novel PFAS possessing different chemical properties [16,17].”
From Worldwide trends in tracing poly- and perfluoroalkyl substances (PFAS) in the environment (2019) · cites this paper as [16]
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.
6:2 diPAP is both included in and separated from legacy PFASs
MinorThe outdoor results list 6:2 diPAP among thirteen legacy PFASs, but later describe it as a PAP measured in addition to legacy PFASs. The three listed PFSAs and C5-C14 PFCAs already account for thirteen compounds without diPAP.
“Thirteen legacy PFASs, including C4, C6, and C8 PFSAs; C5-14 PFCAs; and 6:2 diPAP were quantified in the outdoor APM samples”
“In addition to legacy PFASs, PAPs, which are used widely in food packaging material 8 and are a class of PFCA precursors, 73 were detected and quantified in outdoor APM in our study.Here, 6:2 diPAP was detected only in outdoor APM”
Cites
Forouzanfar, M. H., Afshin, A., Alexander, L. T., Anderson, H. R., Bhutta, Z. A., Biryukov, S., Brauer, M., Burnett, R., Cercy, K., Charlson, F. J., et al. (2016) · The Lancet · doi:10.1016/s0140-6736(16)31679-8 · Cited by 7,698 · 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
Forouzanfar, M. H., Alexander, L., Anderson, H. R., Bachman, V. F., Biryukov, S., Brauer, M., Burnett, R., Casey, D., Coates, M. M., Cohen, A., et al. (2015) · The Lancet · doi:10.1016/s0140-6736(15)00128-2 · Cited by 2,701 · see citing works
Perfluoroalkyl Acids: A Review of Monitoring and Toxicological Findings
Lau, C., Anitole, K., Hodes, C., Lai, D., Pfahles-Hutchens, A., & Seed, J. (2007) · Toxicological Sciences · doi:10.1093/toxsci/kfm128 · Cited by 2,620 · see citing works
MassBank: a public repository for sharing mass spectral data for life sciences
Horai, H., Arita, M., Kanaya, S., Nihei, Y., Ikeda, T., Suwa, K., Ojima, Y., Tanaka, K., Tanaka, S., Aoshima, K., et al. (2010) · Journal of Mass Spectrometry · doi:10.1002/jms.1777 · Cited by 2,529 · see citing works
Conder, J. M., Hoke, R. A., Wolf, W. D., Russell, M. H., & Buck, R. C. (2008) · Environmental Science & Technology · doi:10.1021/es070895g · Cited by 1,206 · see citing works
The CompTox Chemistry Dashboard: a community data resource for environmental chemistry
Williams, A. J., Grulke, C., Edwards, J., McEachran, A. D., Mansouri, K., Baker, N., Patlewicz, G. Y., Shah, I., Wambaugh, J. F., Judson, R., et al. (2017) · Journal of Cheminformatics · doi:10.1186/s13321-017-0247-6 · Cited by 1,164 · see citing works
MetFrag relaunched: incorporating strategies beyond in silico fragmentation
Ruttkies, C., Schymanski, E., Wolf, S., Hollender, J., & Neumann, S. (2016) · Journal of Cheminformatics · doi:10.1186/s13321-016-0115-9 · Cited by 1,063 · 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
Fine particulate matter (PM2.5) in China at a city level
Zhang, Y.-L., & Cao, F. (2015) · Scientific Reports · doi:10.1038/srep14884 · Cited by 921 · 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
Krauss, M., Singer, H., & Hollender, J. (2010) · Analytical and Bioanalytical Chemistry · doi:10.1007/s00216-010-3608-9 · Cited by 743 · see citing works
Sun, M., Arevalo, E., Strynar, M., Lindstrom, A., Richardson, M., Kearns, B., Pickett, A., Smith, C., & Knappe, D. R. U. (2016) · Environmental Science & Technology Letters · doi:10.1021/acs.estlett.6b00398 · Cited by 688 · see citing works
Wang, S., Huang, J., Yang, Y., Hui, Y., Ge, Y., Larssen, T., Yu, G., Deng, S., Wang, B., & Harman, C. (2013) · Environmental Science & Technology · doi:10.1021/es401525n · Cited by 620 · 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
Kim, S.-K., & Kannan, K. (2007) · Environmental Science & Technology · doi:10.1021/es072107t · Cited by 445 · 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
Competitive fragmentation modeling of ESI-MS/MS spectra for putative metabolite identification
Allen, F., Greiner, R., & Wishart, D. S. (2014) · Metabolomics · doi:10.1007/s11306-014-0676-4 · Cited by 430 · see citing works
Ahrens, L., Taniyasu, S., Yeung, L. W. Y., Yamashita, N., Lam, P. K. S., & Ebinghaus, R. (2010) · Chemosphere · doi:10.1016/j.chemosphere.2010.01.045 · Cited by 418 · see citing works
West, J. J., Cohen, A., Dentener, F., Brunekreef, B., Zhu, T., Armstrong, B., Bell, M. L., Brauer, M., Carmichael, G., Costa, D. L., et al. (2016) · Environmental Science & Technology · doi:10.1021/acs.est.5b03827 · Cited by 390 · see citing works
D’Agostino, L. A., & Mabury, S. A. (2014) · Environmental Science & Technology · doi:10.1021/es403729e · Cited by 387 · see citing works
Strynar, 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
Shi, Y., Vestergren, R., Xu, L., Zhou, Z., Li, C., Liang, Y., & Cai, Y. (2016) · Environmental Science & Technology · doi:10.1021/acs.est.5b05849 · Cited by 361 · see citing works
Analysis of per- and polyfluorinated alkyl substances in air samples from Northwest Europe
Barber, J. L., Berger, U., Chaemfa, C., Huber, S., Jahnke, A., Temme, C., & Jones, K. C. (2007) · Journal of Environmental Monitoring · doi:10.1039/b701417a · Cited by 353 · see citing works
Shoeib, M., Harner, T., Wilford, B. H., Jones, K. C., & Zhu, J. (2005) · Environmental Science & Technology · doi:10.1021/es048340y · Cited by 328 · see citing works
Environmental Mass Spectrometry: Emerging Contaminants and Current Issues
Richardson, S. D. (2012) · Analytical Chemistry · doi:10.1021/ac202903d · Cited by 323 · see citing works
Stock, N. L., Furdui, V. I., Muir, D. C. G., & Mabury, S. A. (2007) · Environmental Science & Technology · doi:10.1021/es062709x · Cited by 268 · see citing works
Shi, Y., Vestergren, R., Zhou, Z., Song, X., Xu, L., Liang, Y., & Cai, Y. (2015) · Environmental Science & Technology · doi:10.1021/acs.est.5b04299 · Cited by 258 · see citing works
Hug, C., Ulrich, N., Schulze, T., Brack, W., & Krauss, M. (2014) · Environmental Pollution · doi:10.1016/j.envpol.2013.07.048 · Cited by 252 · see citing works
Shoeib, M., Harner, T., M. Webster, G., & Lee, S. C. (2011) · Environmental Science & Technology · doi:10.1021/es103562v · Cited by 252 · see citing works
Benskin, J. P., Bataineh, M., & Martin, J. W. (2007) · Analytical Chemistry · doi:10.1021/ac070802d · Cited by 251 · see citing works
Migration of fluorochemical paper additives from food-contact paper into foods and food simulants
Begley, T. H., Hsu, W., Noonan, G., & Diachenko, G. (2008) · Food Additives & Contaminants: Part A · doi:10.1080/02652030701513784 · Cited by 235 · see citing works
Yang, F., Ding, J., Huang, W., Xie, W., & Liu, W. (2014) · Environmental Science & Technology · doi:10.1021/es403186z · Cited by 228 · 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
D’eon, J. C., Crozier, P. W., Furdui, V. I., Reiner, E. J., Libelo, E. L., & Mabury, S. A. (2009) · Environmental Science & Technology · doi:10.1021/es900100d · Cited by 214 · 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
Björklund, J. A., Thuresson, K., & de Wit, C. A. (2009) · Environmental Science & Technology · doi:10.1021/es803201a · Cited by 204 · see citing works
D’eon, J. C., & Mabury, S. A. (2011) · Environmental Health Perspectives · doi:10.1289/ehp.1002409 · Cited by 193 · see citing works
Quiñones, O., & Snyder, S. A. (2009) · Environmental Science & Technology · doi:10.1021/es9024707 · Cited by 190 · see citing works
Zhang, T., Sun, H. W., Wu, Q., Zhang, X. Z., Yun, S. H., & Kannan, K. (2010) · Environmental Science & Technology · doi:10.1021/es1000159 · Cited by 188 · see citing works
Self-citationBao, J., Liu, W., Liu, L., Jin, Y., Dai, J., Ran, X., Zhang, Z., & Tsuda, S. (2010) · Environmental Science & Technology · doi:10.1021/es102610x · Cited by 175 · 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
Chen, F., Yin, S., Kelly, B. C., & Liu, W. (2017) · Environmental Science & Technology · doi:10.1021/acs.est.6b06049 · Cited by 168 · see citing works
Eriksson, U., & Kärrman, A. (2015) · Environmental Science & Technology · doi:10.1021/acs.est.5b00679 · Cited by 159 · see citing works
Fluorotelomer Acids are More Toxic than Perfluorinated Acids
Phillips, M. M. (., Dinglasan-Panlilio, M. J. A., Mabury, S. A., Solomon, K. R., & Sibley, P. K. (2007) · Environmental Science & Technology · doi:10.1021/es070734c · Cited by 150 · see citing works
Discovery of a Novel Polyfluoroalkyl Benzenesulfonic Acid around Oilfields in Northern China
Xu, L., Shi, Y., Li, C., Song, X., Qin, Z., Cao, D., & Cai, Y. (2017) · Environmental Science & Technology · doi:10.1021/acs.est.7b04332 · Cited by 148 · see citing works
Fluorotelomer Carboxylic Acids and PFOS in Rainwater from an Urban Center in Canada
Loewen, M., Halldorson, T. H. J., Wang, F., & Tomy, G. T. (2005) · Environmental Science & Technology · doi:10.1021/es048635b · Cited by 144 · see citing works
Ericson Jogsten, I., Nadal, M., van Bavel, B., Lindström, G., & Domingo, J. L. (2012) · Environment International · doi:10.1016/j.envint.2011.09.004 · Cited by 138 · see citing works
Bi, X., Sheng, G., Peng, P., Chen, Y., & Fu, J. (2005) · Atmospheric Environment · doi:10.1016/j.atmosenv.2004.09.052 · Cited by 135 · see citing works
Higher-Order Mass Defect Analysis for Mass Spectra of Complex Organic Mixtures
Roach, P. J., Laskin, J., & Laskin, A. (2011) · Analytical Chemistry · doi:10.1021/ac200654j · Cited by 129 · see citing works
Kaupp, H., & McLachlan, M. S. (2000) · Atmospheric Environment · doi:10.1016/s1352-2310(99)00298-8 · Cited by 103 · see citing works
Jin, L. N., Luo, X., Fu, P., & Li, X. D. (2016) · National Science Review · doi:10.1093/nsr/nww079 · Cited by 100 · see citing works
Self-citationPolyfluorinated Compounds in Residential and Nonresidential Indoor Air
Langer, V., Dreyer, A., & Ebinghaus, R. (2010) · Environmental Science & Technology · doi:10.1021/es102384z · Cited by 99 · 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
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
Kim, S.-K., Shoeib, M., Kim, K.-S., & Park, J.-E. (2012) · Environmental Pollution · doi:10.1016/j.envpol.2011.10.037 · Cited by 83 · see citing works
Aquatic hazard, bioaccumulation and screening risk assessment for 6:2 fluorotelomer sulfonate
Hoke, R. A., Ferrell, B. D., Ryan, T., Sloman, T. L., Green, J. W., Nabb, D. L., Mingoia, R., Buck, R. C., & Korzeniowski, S. H. (2015) · Chemosphere · doi:10.1016/j.chemosphere.2015.01.033 · Cited by 82 · see citing works
Annual Time Series of Air Concentrations of Polyfluorinated Compounds
Dreyer, A., Matthias, V., Temme, C., & Ebinghaus, R. (2009) · Environmental Science & Technology · doi:10.1021/es900257w · Cited by 77 · see citing works
Liu, W., Qin, H., Li, J., Zhang, Q., Zhang, H., Wang, Z., & He, X. (2017) · Environmental Toxicology and Chemistry · doi:10.1002/etc.3810 · Cited by 75 · see citing works
Airborne Perfluorooctanoate May Be a Substantial Source Contamination in Kyoto Area, Japan
Harada, K., Nakanishi, S., Saito, N., Tsutsui, T., & Koizumi, A. (2005) · Bulletin of Environmental Contamination and Toxicology · doi:10.1007/s00128-004-0548-0 · Cited by 72 · see citing works
Harada, K., Nakanishi, S., Sasaki, K., Furuyama, K., Nakayama, S., Saito, N., Yamakawa, K., & Koizumi, A. (2006) · Bulletin of Environmental Contamination and Toxicology · doi:10.1007/s00128-006-0922-1 · Cited by 71 · see citing works
Degrendele, C., Okonski, K., Melymuk, L., Landlová, L., Kukučka, P., Čupr, P., & Klánová, J. (2014) · Atmospheric Environment · doi:10.1016/j.atmosenv.2014.09.001 · Cited by 69 · see citing works
Particle-size distribution of airborne poly- and perfluorinated alkyl substances
Dreyer, A., Kirchgeorg, T., Weinberg, I., & Matthias, V. (2015) · Chemosphere · doi:10.1016/j.chemosphere.2014.06.069 · Cited by 68 · see citing works
Allan, M., & Richardson, G. M. (1998) · Human and Ecological Risk Assessment An International Journal · doi:10.1080/10807039891284389 · Cited by 56 · see citing works
Comprehensive Emerging Chemical Discovery: Novel Polyfluorinated Compounds in Lake Michigan Trout
Fakouri Baygi, S., Crimmins, B. S., Hopke, P. K., & Holsen, T. M. (2016) · Environmental Science & Technology · doi:10.1021/acs.est.6b01349 · Cited by 49 · see citing works
Perfluoroalkyl carboxylic acids with up to 22 carbon atoms in snow and soil samples from a ski area
Plassmann, M. M., & Berger, U. (2013) · Chemosphere · doi:10.1016/j.chemosphere.2013.01.066 · Cited by 44 · see citing works
Flagged first, then by citations
1 of the 67 references couldn’t be matched to a known paper.
Research works printed but not linked: 10
- Holzapfel W., 1966, Fette Seifen Anstrichm, 68, 837
- 2006, Amending for the 30th Time Council Directive 76/769/EEC on the Approximation of the Laws, Regulations and Administrative Provisions of the Member States Relating to Restrictions on the Marketing and Use of Certain Dangerous Substances and Preparations (Perfluorooctane Sulfonates)
- 1994, Human Respiratory Tract Model for Radiological Protection Annals of the ICRP, 24
- U.S. Environmental Protection Agency, 1989, Risk Assessment Guidance for Superfund. Vol. I: Human Health Evaluation Manual (Part A)
- 2011, Exposure Factors Handbook, Chapter 8: Body Weight Studies
- 2009, Health Risk Limits for Groundwater 2008 Rule Revision: Perfluorooctanoic Acid
- 2012, Technical Paper on the Identification and Assessment of Alternatives to the Use of Perfluorooctane Sulfonic Acid in Open Applications (UNEP/POPS/POPRC. 8/INF/17 Rev. 1).
- 10.1021/acs.analchem.5b00039 · DOI · Paper page
- 10.1039/b701417a · DOI · Paper page
- 10.1021/acs.est.5b00679 · DOI · Paper page
Cited by
Sorted by citations
De Silva, A. O., Armitage, J. M., Bruton, T. A., Dassuncao, C., Heiger-Bernays, W., Hu, X. C., Kärrman, A., Kelly, B., Ng, C., Robuck, A., et al. (2020) · Environmental Toxicology and Chemistry · doi:10.1002/etc.4935 · Cited by 835 · see citing works
Worldwide trends in tracing poly- and perfluoroalkyl substances (PFAS) in the environment
Nakayama, S. F., Yoshikane, M., Onoda, Y., Nishihama, Y., Iwai-Shimada, M., Takagi, M., Kobayashi, Y., & Isobe, T. (2019) · TrAC Trends in Analytical Chemistry · doi:10.1016/j.trac.2019.02.011 · Cited by 399 · see citing works
Liu, Y., D'Agostino, L. A., Qu, G., Jiang, G., & Martin, J. W. (2019) · TrAC Trends in Analytical Chemistry · doi:10.1016/j.trac.2019.02.021 · Cited by 344 · see citing works
Photodegradation of carbon dots cause cytotoxicity
Liu, Y., Yu, N., Fang, W., Tan, Q., Ji, R., Yang, L., Wei, S., Zhang, X., & Miao, A. (2021) · Nature Communications · doi:10.1038/s41467-021-21080-z · Cited by 252 · see citing works
Self-citationLee, Y.-M., Lee, J.-Y., Kim, M.-K., Yang, H., Lee, J.-E., Son, Y., Kho, Y., Choi, K., & Zoh, K.-D. (2020) · Journal of Hazardous Materials · doi:10.1016/j.jhazmat.2019.120909 · Cited by 237 · 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
Self-citationSuspect and Nontarget Screening for Contaminants of Emerging Concern in an Urban Estuary
Tian, Z., Peter, K. T., Gipe, A. D., Zhao, H. N., Hou, F., Wark, D. A., Khangaonkar, T. P., Kolodziej, E. P., & James, C. A. (2019) · Environmental Science & Technology · doi:10.1021/acs.est.9b06126 · Cited by 192 · see citing works
Jin, L. N., Xie, J., Wong, C. K. C., Chan, S. K. Y., Abbaszade, G., Schnelle‐Kreis, J., Zimmermann, R., Li, J., Zhang, G., Fu, P., et al. (2019) · Environmental Science & Technology · doi:10.1021/acs.est.9b00449 · Cited by 195 · see citing works
Self-citationHao, S., Choi, Y. J., Wu, B., Higgins, C. P., Deeb, R. A., & Strathmann, T. J. (2021) · Environmental Science & Technology · doi:10.1021/acs.est.0c06906 · Cited by 197 · 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
Self-citationChen, 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
Sample preparation techniques for suspect and non-target screening of emerging contaminants
Hajeb, P., Zhu, L., Bossi, R., & Vorkamp, K. (2021) · Chemosphere · doi:10.1016/j.chemosphere.2021.132306 · Cited by 156 · see citing works
Zhao, Z., Cheng, X., Hua, X., Jiang, B., Tian, C., Tang, J., Li, Q., Sun, H., Lin, T., Liao, Y., et al. (2020) · Environmental Pollution · doi:10.1016/j.envpol.2020.114391 · Cited by 145 · see citing works
Li, Y., Yu, N., Du, L., Shi, W. F., Yu, H., Song, M., & Wei, S. (2020) · Environmental Science & Technology · doi:10.1021/acs.est.9b06505 · Cited by 143 · see citing works
Self-citationSuspect and non-target screening: the last frontier in environmental analysis
González-Gaya, B., Lopez-Herguedas, N., Bilbao, D., Mijangos, L., Alvarez-Mora, I., Etxebarría, N., Irazola, M., Prieto, A., Olivares, M., & Zuloaga, O. (2021) · Analytical Methods · doi:10.1039/d1ay00111f · Cited by 140 · see citing works
PFAS on atmospheric aerosol particles: A review
Faust, J. A. (2023) · Environmental Science: Processes & Impacts · doi:10.1039/d2em00002d · Cited by 139 · see citing works
Lin, H., Taniyasu, S., Yamazaki, E., Wei, S., Wang, X., Gai, N., Kim, J., Eun, H., Lam, P. K. S., & Yamashita, N. (2020) · Environmental Science & Technology · doi:10.1021/acs.est.0c03387 · Cited by 137 · 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
Self-citationAnalysis of emerging per- and polyfluoroalkyl substances: Progress and current issues
Pan, Y., Wang, J., Yeung, L. W. Y., Wei, S., & Dai, J. (2020) · TrAC Trends in Analytical Chemistry · doi:10.1016/j.trac.2019.04.013 · Cited by 133 · see citing works
Self-citationWang, J., Lin, X., Lu, L., Wu, Y., Zhang, H., Lv, Q., Liu, W., Zhang, Y., & Zhuang, S. (2018) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2018.08.375 · Cited by 119 · see citing works
Zhang, B., He, Y., Huang, Y., Hong, D., Yao, Y., Wang, L., Sun, W., Yang, B., Huang, X., Song, S., et al. (2020) · Environmental Pollution · doi:10.1016/j.envpol.2020.114461 · Cited by 119 · 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
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
Wang, Q., Ruan, Y., Lin, H., & Lam, P. K. S. (2020) · Science of The Total Environment · doi:10.1016/j.scitotenv.2020.139804 · Cited by 114 · 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
Wang, Y.-Q., Hu, L.-X., Liu, T., Zhao, J.-H., Yang, Y.-Y., Liu, Y.-S., & Ying, G.-G. (2022) · Environment International · doi:10.1016/j.envint.2022.107219 · Cited by 117 · see citing works
Koch, A., Aro, R., Wang, T., & Yeung, L. W. Y. (2019) · TrAC Trends in Analytical Chemistry · doi:10.1016/j.trac.2019.02.024 · Cited by 107 · 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
“All this has enabled better identification of unknown PFAS in various matrices, such as commercial products, environmental water, sediment, soil, and biological matrices [10, 11].”
BackgroundMethodInfluentialWinchell, 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
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
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
Bugsel, B., & Zwiener, C. (2020) · Analytical and Bioanalytical Chemistry · doi:10.1007/s00216-019-02358-0 · Cited by 97 · 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
Self-citationWang, B., Yao, Y., Wang, Y., Chen, H., & Sun, H. (2022) · Environmental Science & Technology · doi:10.1021/acs.est.0c08242 · Cited by 91 · see citing works
Wang, A., Abrahamsson, D., Jiang, T., Wang, M., Morello-Frosch, R. A., Park, J.-S., Sirota, M., & Woodruff, T. J. (2021) · Environmental Science & Technology · doi:10.1021/acs.est.0c05984 · Cited by 90 · see citing works
Shimizu, M. S., Mott, R., Potter, A., Zhou, J., Baumann, K., Surratt, J. D., Turpin, B. J., Avery, G. B., Harfmann, J. L., Kieber, R. J., et al. (2021) · Environmental Science & Technology Letters · doi:10.1021/acs.estlett.1c00251 · Cited by 88 · 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
Tris(2,4-di- tert -butylphenyl)phosphate: An Unexpected Abundant Toxic Pollutant Found in PM 2.5
Shi, J., Xu, C., Li, X., Chen, J., & Cai, Z. (2020) · Environmental Science & Technology · doi:10.1021/acs.est.0c03709 · Cited by 91 · see citing works
Tissue distribution and bioaccumulation of a novel polyfluoroalkyl benzenesulfonate in crucian carp
Shi, Y., Song, X., Jin, Q., Li, W., He, S., & Cai, Y. (2019) · Environment International · doi:10.1016/j.envint.2019.105418 · Cited by 87 · see citing works
Trifluoroacetic Acid: Toxicity, Sources, Sinks and Future Prospects
Garavagno, M. D. L. A., Holland, R. E. T., Khan, M. A. H., Orr‐Ewing, A. J., & Shallcross, D. E. (2024) · Sustainability · doi:10.3390/su16062382 · Cited by 92 · see citing works
Wang, W., Mi, X., Zhou, Z., Zhou, S., Li, C., Hu, X., Qi, D., & Deng, S. (2019) · Journal of Colloid and Interface Science · doi:10.1016/j.jcis.2019.09.066 · Cited by 77 · see citing works
Shen, 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
“[111] The obtained candidate peaks were further combined with the AB Sciex and MassBank databases for structural identification of MS/MS spectra, and 50 PFAS with confidence levels of 1-3 were identified, including 34 novel PFAS.”
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
Qiao, 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
Self-citationStrynar, 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
“Neutral loss of (–CF2O) was also reported in PFAS literature, which may be indicative of alcohol functionality [46, 47].”
BackgroundJeong, 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
Zhao, M., Yao, Y., Dong, X., Baqar, M., Fang, B., Chen, H., & Sun, H. (2023) · Environmental Science & Technology · doi:10.1021/acs.est.3c05859 · Cited by 70 · see citing works
Bugsel, B., Zweigle, J., & Zwiener, C. (2023) · Trends in Environmental Analytical Chemistry · doi:10.1016/j.teac.2023.e00216 · Cited by 78 · see citing works
Hou, M., Jin, Q., Na, G., Cai, Y., & Shi, Y. (2022) · Environmental Science & Technology · doi:10.1021/acs.est.2c01287 · Cited by 68 · see citing works
Itumoh, E. J., Data, S., Chen, J. L. ‐., Kah, M., Padhye, L. P., & Leitao, E. M. (2024) · RSC Sustainability · doi:10.1039/d4su00152d · Cited by 79 · see citing works
Luo, Y., Aly, N. A., McCord, J. P., Strynar, M. J., Chiu, W. A., Dodds, J. N., Baker, E. S., & Rusyn, I. (2020) · Environmental Science & Technology · doi:10.1021/acs.est.0c04798 · Cited by 66 · see citing works
Lin, H., Lao, J.-Y., Wang, Q., Ruan, Y., He, Y., Lee, P. K. H., Leung, K., & Lam, P. K. S. (2022) · Environment International · doi:10.1016/j.envint.2022.107434 · Cited by 69 · see citing works
Li, Y., Lu, X., Yu, N., Li, A., Zhuang, T., Du, L., Tang, S., Shi, W. F., Yu, H., Song, M., et al. (2021) · Environment International · doi:10.1016/j.envint.2021.106627 · Cited by 62 · see citing works
Self-citationEnzymatic Degradation of PFAS: Current Status and Ongoing Challenges
Harris, B. A., Zhou, J., Clarke, B. O., & Leung, I. K. H. (2024) · ChemSusChem · doi:10.1002/cssc.202401122 · Cited by 65 · see citing works
Bugsel, B., Bauer, R., Herrmann, F., Maier, M. E., & Zwiener, C. (2021) · Analytical and Bioanalytical Chemistry · doi:10.1007/s00216-021-03463-9 · Cited by 56 · 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
Data acquisition methods for non-targeted screening in environmental analysis
Yang, Y., Yang, L., Zheng, M., Dong, C., & Liu, G. (2023) · TrAC Trends in Analytical Chemistry · doi:10.1016/j.trac.2023.116966 · Cited by 62 · see citing works
Baqar, M., Zhao, M., Saleem, R., Cheng, Z., Fang, B., Dong, X., Chen, H., Yao, Y., & Sun, H. (2024) · Environmental Science & Technology · doi:10.1021/acs.est.4c05646 · Cited by 60 · 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
Lin, Y., Yang, J., Fu, Q., Ruan, T., & Jiang, G. (2019) · Environmental Science & Technology · doi:10.1021/acs.est.9b01197 · Cited by 54 · see citing works
Self-citationMok, S., Lee, S., Choi, Y., Jeon, J., Kim, Y. H., & Moon, H. (2023) · Environment International · doi:10.1016/j.envint.2023.108311 · Cited by 51 · see citing works
Li, L., Yu, N., Wang, X., Shi, W. F., Liu, H., Zhang, X., Yang, L., Pan, B., Yu, H., & Wei, S. (2022) · Environmental Science & Technology · doi:10.1021/acs.est.2c03345 · Cited by 53 · see citing works
Self-citationMachine 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
Self-citationKim, 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
Liu, L.-S., Guo, Y., Wu, Q.-Z., et al. (2023) · Environmental Pollution · doi:10.1016/j.envpol.2023.122138 · Cited by 52 · see citing works
Jiang, L., Yao, J., Ren, G., Sheng, N., Guo, Y., Dai, J., & Pan, Y. (2023) · Science of The Total Environment · doi:10.1016/j.scitotenv.2022.159638 · Cited by 51 · see citing works
Qi, Z., Cao, Y., Li, D., Wu, C., Wu, K., Song, Y., Huang, Z., Luan, H., Meng, X., Yang, Z., et al. (2024) · Environmental Science & Technology · doi:10.1021/acs.est.4c03552 · Cited by 54 · see citing works
Nakayama, S. F., Isobe, T., Iwai‐Shimada, M., Kobayashi, Y., Nishihama, Y., Taniguchi, Y., Sekiyama, M., Michikawa, T., Yamazaki, S., Nitta, H., et al. (2020) · Journal of Chromatography A · doi:10.1016/j.chroma.2020.460933 · Cited by 50 · see citing works
Current progress in the environmental analysis of poly- and perfluoroalkyl substances (PFAS)
Androulakakis, A., Alygizakis, N. A., Bizani, E., & Τhomaidis, Ν. S. (2022) · Environmental Science Advances · doi:10.1039/d2va00147k · Cited by 51 · see citing works
Hensema, T. J., Berendsen, B. J. A., & van Leeuwen, S. P. J. (2020) · Chemosphere · doi:10.1016/j.chemosphere.2020.128599 · Cited by 45 · see citing works
Zhang, Q., Ma, H., Li, J., Jiang, H., Chen, W., Wan, C., Jiang, B., Dong, G., Zeng, X., Chen, D., et al. (2023) · Environmental Science & Technology · doi:10.1021/acs.est.3c04983 · Cited by 48 · see citing works
Self-citationA 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
Schultes, L., van Noordenburg, C., Spaan, K. M., Plassmann, M. M., Simon, M. J., Roos, A. M., & Benskin, J. P. (2020) · Environmental Science & Technology Letters · doi:10.1021/acs.estlett.0c00661 · Cited by 45 · 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
Lin, H., Taniyasu, S., Yamashita, N., Khan, M. K., Masood, S. S., Saied, S., & Khwaja, H. A. (2021) · Chemosphere · doi:10.1016/j.chemosphere.2021.132432 · Cited by 44 · 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
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
Bao, J., Shao, L.-X., Liu, Y., Cui, S., Wang, X., Lu, G.-L., Wang, X., & Jin, Y. (2022) · Chemosphere · doi:10.1016/j.chemosphere.2022.135731 · Cited by 44 · see citing works
Self-citationNovel and legacy per- and polyfluoroalkyl substances in bald eagle eggs from the Great Lakes region
Wu, Y., Simon, K. L., Best, D. A., Bowerman, W. W., & Venier, M. (2019) · Environmental Pollution · doi:10.1016/j.envpol.2019.113811 · Cited by 42 · 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
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
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
Feng, C., Lin, Y., Le, S., Ji, J., Chen, Y., Wang, G., Xiao, P., Zhao, Y., & Lu, D. (2024) · Environmental Science & Technology · doi:10.1021/acs.est.3c07533 · Cited by 40 · see citing works
Wang, W., Mi, X., Shi, H., Zhang, X., Zhou, Z., Li, C., & Zhu, D. (2019) · Royal Society Open Science · doi:10.1098/rsos.191069 · Cited by 41 · see citing works
Self-citationTang, 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
Legacy and emerging poly- and perfluorochemicals in seawater and sediment from East China Sea
Hu, H., Zhang, Y., Zhao, N., Xie, J., Zhou, Y. R., Zhao, M., & Jin, H. (2021) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2021.149052 · Cited by 37 · see citing works
Zhao, Z., Li, J., Zhang, X., Wang, L., Wang, J., & Lin, T. (2022) · Environmental Science and Pollution Research · doi:10.1007/s11356-022-20755-4 · Cited by 41 · see citing works
“The application of high-resolution mass spectrometry (HRMS) reveals the occurrence of hundreds of PFASs in multiple environmental media and biota (Barzen-Hanson et al. 2017; Li et al. 2020c; Liu et al. 2018b; McCord and Strynar 2019; Song et al. 2018; Yu et al. 2018).”
BackgroundSelf-citationLou, J., Wang, W., Lü, H., Wang, L., & Zhu, L. (2021) · Journal of Hazardous Materials · doi:10.1016/j.jhazmat.2021.126249 · Cited by 37 · see citing works
“The non-cancer risk of DBPs was positively correlated with the HI value, where HI > 1.0 represents likely adverse health effects, and HI ≤ 1.0 means the risk may be absent (Pan et al, 2018; Yu et al, 2018).”
InfluentialMu, H., Yang, Z., Chen, L., Gu, C., Ren, H., & Wu, B. (2023) · Journal of Hazardous Materials · doi:10.1016/j.jhazmat.2023.132669 · Cited by 40 · see citing works
Wu, M., Zhao, Y., Li, Q., et al. (2019) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2019.03.064 · Cited by 36 · see citing works
Fang, S., Li, C., Zhu, L. Y., Yin, H., Yang, Y., Ye, Z., & Cousins, I. T. (2019) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2019.06.498 · Cited by 35 · see citing works
Atmospheric perfluoroalkyl acid occurrence and isomer profiles in Beijing, China
Wu, J., Jin, H., Li, L., Zhai, Z., Martin, J. W., Hu, J., Peng, L., & Wu, P. (2019) · Environmental Pollution · doi:10.1016/j.envpol.2019.113129 · Cited by 37 · see citing works
Zhang, X., Saini, A., Hao, C., et al. (2020) · TrAC Trends in Analytical Chemistry · doi:10.1016/j.trac.2020.116052 · Cited by 36 · see citing works
Self-citationA framework to model exposure to per- and polyfluoroalkyl substances in indoor environments
Eichler, C. M. A., & Little, J. C. (2020) · Environmental Science Processes & Impacts · doi:10.1039/c9em00556k · Cited by 33 · see citing works
Wang, Q., Ruan, Y., Yuen, C. N. T., Lin, H., Yeung, L. W. Y., Leung, K., & Lam, P. K. S. (2023) · TrAC Trends in Analytical Chemistry · doi:10.1016/j.trac.2023.117351 · Cited by 33 · see citing works
Baqar, M., Chen, H., Yao, Y., & Sun, H. (2024) · Analytical and Bioanalytical Chemistry · doi:10.1007/s00216-024-05643-9 · Cited by 35 · see citing works
Analytical methodologies and occurrence of per- and polyfluorinated alkyl substances – A review
Jiménez-Skrzypek, G., González‐Sálamo, J., & Hernández‐Borges, J. (2023) · Journal of Chromatography Open · doi:10.1016/j.jcoa.2023.100089 · Cited by 32 · see citing works
- Authors
- Yu, N., Guo, H., Yang, J., Jin, L., Wang, X., Shi, W., Zhang, X., Yu, H., & Wei, S.
- Affiliations
- State Key Laboratory of Pollution Control and Resource Reuse (CN)
- Nanjing University (CN)
- Hong Kong Polytechnic University (HK)
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing, People’s Republic of China
- Corresponding author
- Wei, Si
- Venue
- Environmental Science & Technology
- Publisher
- American Chemical Society (ACS)
- Published
- 2018-07-16
- Volume
- 52
- Issue
- 15
- Pages
- 8205-8214
- ISSN
- 0013-936X (ISSN-L)
- 1520-5851
- OpenAlex
- W2884946181
- Semantic Scholar
- bbaf1357f6affeb983198758638b963d9f1f47ae
- Cited by
- 200
- References
- 67
- Citations by year
- 2026: 19 · 2025: 24 · 2024: 31 · 2023: 27 · 2022: 28 · 2021: 24 · 2020: 25 · 2019: 20 · 2018: 2
- FWCI
- 9.27
- Type
- journal article
- Language
- en
- Open access
- green
- hdl.handle.net
- Locations
- Environmental Science & Technology (publishedVersion)
- PubMed (publishedVersion)
- PolyU Institutional Research Archive (Hong Kong Polytechnic University) (submittedVersion)
- Funders
- Ministry of Education of the People's Republic of China (021114380072)
- Ministry of Science and Technology of the People's Republic of China (2012ZX07101-005)
- China Postdoctoral Science Foundation (2016M600397)
- Natural Science Foundation of Jiangsu Province (BK20150591)
- National Natural Science Foundation of China (81500515, 21677067, 91543205)
- Jiangsu Provincial Environmental Monitoring Research Fund (1317, 1605)
- Jiangsu Province (TH2016306)
- Life Cycle of Electrical and Electronic Equipment and Associated Wastes in China (5044)
- Topics
- Physical Sciences › Environmental Science › Environmental Chemistry › Per- and polyfluoroalkyl substances research
- Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Toxic Organic Pollutants Impact
- Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Pharmaceutical Science › Fluorine in Organic Chemistry
- Keywords
- per- and polyfluoroalkyl substances, airborne particulate matter, suspect screening, emerging PFASs, fluorotelomer sulfonates, inhalation exposure, hazard quotient, China
- MeSH terms
- Carboxylic Acids, China, Fluorocarbons, Humans, Sulfonic Acids, Particulate Matter
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