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Transport and retention of perfluorooctanoic acid (PFOA) in natural soils: Importance of soil organic matter and mineral contents, and solution ionic strength
Abstract
Effects of soil organic matter and mineral contents, and solution ionic strength on the transport of perfluorooctanoic acid (PFOA) in different types of soils (i.e., desert soil, black soil, and red soil) were systematically investigated with a set of laboratory column experiments. The retention of PFOA in the soils under two solution ionic strengths conditions (1.0 mM and 10.0 mM CaCl 2) followed an order of red soil > black soil > desert soil (expect red soil in 10 mM CaCl 2). PFOA retention in the black soil (soil organic carbon content: 2.57%) was higher than that in the desert soil (soil organic carbon content: 0.05%). In addition, PFOA also showed higher mobility in treated black soils with lower organic carbon contents. These results suggest that the hydrophobic interaction is a key mechanism governing PFOA retention and transport in soils. Besides, more PFOA retention in the red soil (zeta potential: 7.25 ± 0.10 mV and 14.80 ± 0.20 mV) than the desert soil (-15.70 ± 0.10 mV and - 9.11 ± 0.10 mV) was observed, suggesting that electrostatic interaction may be another important mechanism for PFOA retention and transport in soils. Increasing ionic strength slightly increased the retention of PFOA in negatively charged desert and black soils, but significantly decreased the retention of PFOA in the positively charged red soil. Findings of this study point to the importance of soil physiochemical properties to the fate and transport of PFOA in natural soils.
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“PFAS sorption, for example, can be greater under conditions of low pH,7,45 elevated concentrations of divalent cations,46,47 or lower concentrations of DOC and Cl.47−49”
From Perfluoroalkyl and Polyfluoroalkyl Substances in Groundwater Used as a Source of Drinking Water in the Eastern United States (2022) · cites this paper as [47]
In the citing paper
“Competition for sorption sites between negatively charged PFAS and inorganic anions could also help explain the higher Cl and SO4 concentrations in samples containing PFAS detections.47,48”
From Perfluoroalkyl and Polyfluoroalkyl Substances in Groundwater Used as a Source of Drinking Water in the Eastern United States (2022) · cites this paper as [47]
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Metadata
- Authors
- Lyu, X., Liu, X., Sun, Y., Ji, R., Gao, B., & Wu, J.
- Affiliations
- State Key Laboratory of Pollution Control and Resource Reuse (CN)
- University of Florida (US)
- Corresponding author
- Sun, Yuanyuan
- Wu, Jichun
- Venue
- Journal of Contaminant Hydrology
- Publisher
- Elsevier BV
- Published
- 2019-08
- Volume
- 225
- Pages
- 103477
- ISSN
- 0169-7722 (ISSN-L)
- OpenAlex
- W2931216158
- Cited by
- 102
- References
- 33
- Citations by year
- 2026: 15 · 2025: 20 · 2024: 21 · 2023: 12 · 2022: 14 · 2021: 10 · 2020: 8 · 2019: 2
- FWCI
- 3.70
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Contaminant Hydrology (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Key Research and Development Program of China (YFC1800604)
- National Natural Science Foundation of China (U1503282)
- National Natural Science Foundation of China-Xinjiang project (41730856)
- Topics
- Physical Sciences › Environmental Science › Environmental Chemistry › Per- and polyfluoroalkyl substances research
- Physical Sciences › Environmental Science › Environmental Engineering › Groundwater flow and contamination studies
- Physical Sciences › Environmental Science › Pollution › Pesticide and Herbicide Environmental Studies
- Keywords
- perfluorooctanoic acid, soil organic carbon, soil mineral content, ionic strength, zeta potential, electrostatic interactions, hydrophobic interactions, red soil, black soil, desert soils, perfluorinated compounds
- MeSH terms
- Caprylates, Carbon, Fluorocarbons, Minerals, Osmolar Concentration, Soil, Soil Pollutants
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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.
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