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Volatility and Nonspecific van der Waals Interaction Properties of Per- and Polyfluoroalkyl Substances (PFAS): Evaluation Using Hexadecane/Air Partition Coefficients

[Image: see text] Per- and polyfluoroalkyl substances (PFAS) form weak van der Waals (vdW) interactions, which render this class of chemicals more volatile than nonfluorinated analogues. Here, the hexadecane/air partition coefficient (K(Hxd/air)) values at 25 °C, as an index of vdW interaction stren...

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Detalles Bibliográficos
Autores principales: Hammer, Jort, Endo, Satoshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2022
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9671037/
https://www.ncbi.nlm.nih.gov/pubmed/36240042
http://dx.doi.org/10.1021/acs.est.2c05804
Descripción
Sumario:[Image: see text] Per- and polyfluoroalkyl substances (PFAS) form weak van der Waals (vdW) interactions, which render this class of chemicals more volatile than nonfluorinated analogues. Here, the hexadecane/air partition coefficient (K(Hxd/air)) values at 25 °C, as an index of vdW interaction strength and volatility, were determined for 64 neutral PFAS using the variable phase ratio headspace and gas chromatographic retention methods. Log K(Hxd/air) values increased linearly with increasing number of CF(2) units, and the increase in log K(Hxd/air) value per CF(2) was smaller than that per CH(2). Comparison of PFAS sharing the same perfluoroalkyl chain length but with different functional groups demonstrated that K(Hxd/air) was highest for the N-alkyl perfluoroalkanesulfonamidethanols and lowest for the perfluoroalkanes and that the size of the nonfluorinated structure determines the difference in K(Hxd/air) between PFAS groups. Two models, the quantum chemistry-based COSMOtherm model and an iterative fragment selection quantitative structure–property relationship (IFS-QSPR) model, accurately predicted the log K(Hxd/air) values of the PFAS with root-mean-square errors of 0.55 and 0.35, respectively. COSMOtherm showed minor systematic errors for all PFAS, whereas IFS-QSPR exhibited large errors for a few PFAS groups that were outside the model applicability domain. The present data set will be useful as a benchmark of the volatilities of the various PFAS and for predicting other partition coefficient values of PFAS.