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Updated: Jun 19, 2026

Integrated Field Lysimetry and Porewater Sampling for Evaluation of Chemical Mobility in Soils and Established Vegetation
Published on: July 4, 2014
Soil-water distribution coefficients (Kd) of PFAS in field-collected contaminated soils from Lyon, France
Libby Morales1, Toyin Dunsin Saliu1, Justine Fontaine1
1Département de Chimie, Université de Montréal, Montréal, QC, Canada.
Abstract:
The distribution coefficients (log Kd) of per- and polyfluoroalkyl substances (PFAS) were investigated in 84 soils from around Lyon, France. This area is located adjacent to an industrial facility that uses various PFAS in its production processes and that has been known to emit PFAS. A total of 77 target PFAS were analyzed in soil leachates using ultra-high-performance liquid chromatography coupled with high-resolution mass spectrometry (UHPLC-Orbitrap Q Exactive). While total PFAS concentrations in soil ranged from 3.8 to 175 μg kg-1 dry weight, the corresponding concentrations transferred to the aqueous phase ranged from 3.0 to 1215 ng L-1. A clear predominance of perfluoroalkyl carboxylic acids (PFCAs), including PFHxA, PFHpA, PFNA, PFPeA, and PFOA, was observed in the aqueous phase following soil-water equilibration across all soil types. The data were used to determine solid-liquid partitioning coefficients that can be used to model downward mobility of the PFAS. The resulting log Kd for the PFCAs (C3-C11) varied from 0.08 to 3.41 mL g-1, while values for PFSAs (specifically PFBS (C4), PFHxS (C6), and PFOS (C8)) varied between 0.80 and 4.94 mL g-1. Spearman's rank correlations between Kd values and soil properties (pH and SOC) for the 14 detected PFAS revealed that soil pH is a primary factor influencing PFAS partitioning, with statistically significant negative correlations for PFHxA and PFDA and highly significant negative correlations for PFBA, PFNA, PFUnDA, and PFHxS. In contrast, SOC (%) generally showed no significant influence on PFAS partitioning, except for PFBS and PFOA, which exhibited a strong, highly significant positive correlation.
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