Cited by 52Per- and polyfluoroalkyl substances researchComputational Drug Discovery MethodsToxic Organic Pollutants Impact

Property Estimation of Per- and Polyfluoroalkyl Substances: A Comparative Assessment of Estimation Methods

Lampic, Alina, Parnis, J. Mark·2020·Environmental Toxicology and Chemistry

Abstract

To accurately predict the environmental fate of per- and polyfluoroalkyl substances (PFAS), high-quality physicochemical property data are required. Because such data are often not available from experiments, assessment of the accuracy of existing property estimation models is essential. The quality of predicted physicochemical property data for a set of 25 PFAS was examined using COSMOtherm, EPI Suite, the estimation models accessible through the US Environmental Protection Agency's CompTox Chemicals Dashboard, and Linear Solvation Energy Relationships (LSERs) available through the UFZ-LSER Database. The results showed that COSMOtherm made the most accurate acid dissociation constant and air-water partition ratio estimates compared with literature data. The OPEn structure-activity/property Relationship App (OPERA; developed through the CompTox Chemicals Dashboard) estimates of vapor pressure and dry octanol-air partition ratios were the most accurate compared with other models of interest. Wet octanol-water partition ratios were comparably predicted by OPERA and EPI Suite, and the organic carbon soil coefficient and solubility were well predicted by OPERA and COSMOtherm. Acid dissociation of the perfluoroalkyl acids has a significant impact on their physicochemical properties, and corrections for ionization were included where applicable. Environ Toxicol Chem 2020;39:775-786. © 2020 SETAC.

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Crossref · 10.1002/etc.4681

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  • For some PFAS, the only available values for physical and chemical properties are estimates derived from mathematical models such as QSAR models.

    “In fact, for some PFAS, the only available values for physical and chemical properties are estimates derived from mathematical models, such as quantitative structure–activity relationship (QSAR) models [18], which can approximate the chemical and physical properties of compounds based on their chemical structure, rather values from direct measurements [19,20].”
  • Available data suggest that both the melting temperature and melting enthalpy of PFAS increase with the length of the fluorinated carbon chain.

    “Available data suggest that both the melting temperature and melting enthalpy of PFAS increase with the length of the fluorinated carbon chain [20,21].”

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Authors
Lampic, A., & Parnis, J. M.
Affiliations
Trent University (CA)
Corresponding author
Parnis, J. Mark
Venue
Environmental Toxicology and Chemistry
Published
2020-02-05
Volume
39
Issue
4
Pages
775-786
ISSN
  • 0730-7268 (ISSN-L)
  • 1552-8618
OpenAlex
W3004760718
Cited by
52
References
49
Citations by year
2026: 8 · 2025: 3 · 2024: 7 · 2023: 17 · 2022: 10 · 2021: 5 · 2020: 2
FWCI
3.15
Type
journal article
Language
en
Open access
closed
Locations
  • Environmental Toxicology and Chemistry (publishedVersion)
  • PubMed (publishedVersion)
Funders
Natural Sciences and Engineering Research Council of Canada (RGPIN-2016-03-65, RGPIN‐2016‐03‐65)
Topics
  • Physical Sciences › Environmental Science › Environmental Chemistry › Per- and polyfluoroalkyl substances research
  • Physical Sciences › Computer Science › Computational Theory and Mathematics › Computational Drug Discovery Methods
  • Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Toxic Organic Pollutants Impact
Keywords
per- and polyfluoroalkyl substances, PFAS, physicochemical property prediction, COSMOtherm, EPI Suite, CompTox Chemicals Dashboard, linear solvation energy relationships, acid dissociation constants, octanol-air partition coefficient, octanol-water partition coefficient, vapor pressure, soil organic carbon partition coefficient, solubility, ionization corrections, environmental fate prediction, model accuracy comparison
MeSH terms
Alkanes, Environmental Monitoring, Environmental Pollutants, Hydrocarbons, Fluorinated, Models, Chemical, Solubility, Thermodynamics, United States, United States Environmental Protection Agency, Molecular Structure, Quantitative Structure-Activity Relationship

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