Cited by 77

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Assembly and Curation of Lists of Per- and Polyfluoroalkyl Substances (PFAS) to Support Environmental Science Research

Williams, Antony J., Gaines, Linda G. T., Grulke, Christopher M., Lowe, Charles N., Sinclair, Gabriel F. B., Samano, Vicente, Thillainadarajah, Inthirany, Meyer, Bryan, Patlewicz, Grace, Richard, Ann M.·2022·Frontiers in Environmental Science

Abstract

Per- and polyfluoroalkyl substances (PFAS) are a class of man-made chemicals of global concern for many health and regulatory agencies due to their widespread use and persistence in the environment (in soil, air, and water), bioaccumulation, and toxicity. This concern has catalyzed a need to aggregate data to support research efforts that can, in turn, inform regulatory and statutory actions. An ongoing challenge regarding PFAS has been the shifting definition of what qualifies a substance to be a member of the PFAS class. There is no single definition for a PFAS, but various attempts have been made to utilize substructural definitions that either encompass broad working scopes or satisfy narrower regulatory guidelines. Depending on the size and specificity of PFAS substructural filters applied to the U.S. Environmental Protection Agency (EPA) DSSTox database, currently exceeding 900,000 unique substances, PFAS substructure-defined space can span hundreds to tens of thousands of compounds. This manuscript reports on the curation of PFAS chemicals and assembly of lists that have been made publicly available to the community via the EPA’s CompTox Chemicals Dashboard. Creation of these PFAS lists required the harvesting of data from EPA and online databases, peer-reviewed publications, and regulatory documents. These data have been extracted and manually curated, annotated with structures, and made available to the community in the form of lists defined by structure filters, as well as lists comprising non-structurable PFAS, such as polymers and complex mixtures. These lists, along with their associated linkages to predicted and measured data, are fueling PFAS research efforts within the EPA and are serving as a valuable resource to the international scientific community.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.3389/fenvs.2022.850019

Cites

3 of 3 references verified0 citation errors · 0 not checkable

Statistics

Figures

FIGURE 1 | The collection of substructures used to define the PFASSTRUCTv3 list. Atoms replacing hydrogen (denoted by the red “A”) are all potential sites of substitution. The trifluoromethanesulfonic acid substructure (contained in the box) was included in PFASSTRUCTv3 but excluded in the subsequent PFASSTRUCTv4 iteration.
FIGURE 1 | The collection of substructures used to define the PFASSTRUCTv3 list. Atoms replacing hydrogen (denoted by the red “A”) are all potential sites of substitution. The trifluoromethanesulfonic acid substructure (contained in the box) was included in PFASSTRUCTv3 but excluded in the subsequent PFASSTRUCTv4 iteration.CC BY · PubMed Central
FIGURE 2 | The list of non-explicit PFAS structures includes both Class 1 Markush structure representations as well as Class 2 which have no associated structures, but which may be mapped to related substances such as monomer units as exemplified by polytetrafluoroethylene.
FIGURE 2 | The list of non-explicit PFAS structures includes both Class 1 Markush structure representations as well as Class 2 which have no associated structures, but which may be mapped to related substances such as monomer units as exemplified by polytetrafluoroethylene.CC BY · PubMed Central
FIGURE 3 | Example of structures that differ by being fully aliphatic or only partially aliphatic with an aromatic substituent.
FIGURE 3 | Example of structures that differ by being fully aliphatic or only partially aliphatic with an aromatic substituent.CC BY · PubMed Central
FIGURE 4 | Example of a fully fluorinated and aromatic structure that does not meet any PFAS definition.
FIGURE 4 | Example of a fully fluorinated and aromatic structure that does not meet any PFAS definition.CC BY · PubMed Central
FIGURE 5 | Examples of highly branched structures that do not fit the EPA TSCA 2021 PFAS substructure definition.
FIGURE 5 | Examples of highly branched structures that do not fit the EPA TSCA 2021 PFAS substructure definition.CC BY · PubMed Central
FIGURE 6 | Example of a PFAS ether that does not fit the EPA TSCA 2021 PFAS substructure definition.
FIGURE 6 | Example of a PFAS ether that does not fit the EPA TSCA 2021 PFAS substructure definition.CC BY · PubMed Central
FIGURE 7 | Examples of halogenated chains that do not fit any PFAS structure definition.
FIGURE 7 | Examples of halogenated chains that do not fit any PFAS structure definition.CC BY · PubMed Central
FIGURE 8 | Examples of highly fluorinated chains that do not fit the EPA TSCA 2021 PFAS substructure definition.
FIGURE 8 | Examples of highly fluorinated chains that do not fit the EPA TSCA 2021 PFAS substructure definition.CC BY · PubMed Central
FIGURE 9 | Examples of alkenic fluorinated chain and ring systems that do not fit the EPA TSCA 2021 PFAS substructure definition. The first two do not fit any PFAS structural definition.
FIGURE 9 | Examples of alkenic fluorinated chain and ring systems that do not fit the EPA TSCA 2021 PFAS substructure definition. The first two do not fit any PFAS structural definition.CC BY · PubMed Central
FIGURE 10 | Examples of large molecules with a very small fluorinated moiety that fits the OECD-PFAS 2021 definition but not more restricted definitions.
FIGURE 10 | Examples of large molecules with a very small fluorinated moiety that fits the OECD-PFAS 2021 definition but not more restricted definitions.CC BY · PubMed Central

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

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?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 3 references

Research works printed but not linked: 13

  1. Djoumbou Feunang, 2016, ClassyFire: Automated Chemical Classification with a Comprehensive, Computable Taxonomy, J. Cheminform, 8, 61, 10.1186/s13321-016-0174-y · DOI
  2. Fourches, 2010, Trust, but Verify: On the Importance of Chemical Structure Curation in Cheminformatics and QSAR Modeling Research, J. Chem. Inf. Model., 50, 1189, 10.1021/ci100176x · DOI · Paper page
  3. Grulke, 2019, EPA's DSSTox Database: History of Development of a Curated Chemistry Resource Supporting Computational Toxicology Research, Comput. Toxicol., 12, 100096, 10.1016/j.comtox.2019.100096 · DOI
  4. Kavlock, 2012, Update on EPA's ToxCast Program: Providing High Throughput Decision Support Tools for Chemical Risk Management, Chem. Res. Toxicol., 25, 1287, 10.1021/tx3000939 · DOI
  5. Koelmel, 2021, ‘FluoroMatch 2.0-making Automated and Comprehensive Non-targeted PFAS Annotation a Reality', Anal. Bioanal. Chem., 10.1007/s00216-021-03392-7 · DOI
  6. Lowe, 2021, Enabling High-Throughput Searches for Multiple Chemical Data Using the U.S.-EPA CompTox Chemicals Dashboard, J. Chem. Inf. Model., 61, 565, 10.1021/acs.jcim.0c01273 · DOI
  7. Lowe, 2011, Chemical Name to Structure: OPSIN, an Open Source Solution, J. Chem. Inf. Model., 51, 739, 10.1021/ci100384d · DOI
  8. Newton, 2018, Suspect Screening and Non-targeted Analysis of Drinking Water Using point-of-use Filters, Environ. Pollut., 234, 297, 10.1016/j.envpol.2017.11.033 · DOI
  9. Richard, 2022, Identification of Branched and Linear Forms of PFOA and Potential Precursors: A User-friendly SMILES Structure-based Approach, Front. Environ. Sci., 10, 865488, 10.3389/fenvs.2022.865488 · DOI
  10. Sobus, 2019, Using Prepared Mixtures of ToxCast Chemicals to Evaluate Non-targeted Analysis (NTA) Method Performance, Anal. Bioanal. Chem., 411, 835, 10.1007/s00216-018-1526-4 · DOI
  11. TSCA Substances, 2020, “Toxic Substances Control Act Reporting and Recordkeeping Requirements for Perfluoroalkyl and Polyfluoroalkyl Substances.” in
  12. Ulrich, 2018, EPA's Non-targeted Analysis Collaborative Trial (ENTACT): Genesis, Design, and Initial Findings, Anal. Bioanal. Chem., 411, 853, 10.1007/s00216-018-1435-6 · DOI
  13. Williams, 2017, The CompTox Chemistry Dashboard: a Community Data Resource for Environmental Chemistry, J. Cheminform, 9, 61, 10.1186/s13321-017-0247-6 · DOI

Cited by

Sorted by citations

See all 77

Metadata

Authors
Williams, A. J., Gaines, L. G. T., Grulke, C. M., Lowe, C. N., Sinclair, G. F. B., Samano, V., Thillainadarajah, I., Meyer, B., Patlewicz, G., & Richard, A. M.
Venue
Frontiers in Environmental Science
Published
2022-04-05
Volume
10
ISSN
2296-665X
Cited by
77
References
3
Funders
U.S. Environmental Protection Agency

About these checks

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

Statistics and arithmetic are recomputed, not judged.

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

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

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

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Assembly and Curation of Lists of Per- and Polyfluoroalkyl Substances (PFAS) to Support Environmental Science Research. https://app.cochat.ai/papers/10.3389/fenvs.2022.850019
The paper
Williams, A. J., Gaines, L. G. T., Grulke, C. M., Lowe, C. N., Sinclair, G. F. B., Samano, V., Thillainadarajah, I., Meyer, B., Patlewicz, G., & Richard, A. M. (2022). Assembly and Curation of Lists of Per- and Polyfluoroalkyl Substances (PFAS) to Support Environmental Science Research. Frontiers in Environmental Science. https://doi.org/10.3389/fenvs.2022.850019