Development of Bioaccessibility-Based Soil Environmental Criteria for PFAS through the Establishment of In Vitro Methods and Machine Learning Models

values of 0.229, 0.330, and 0.313 mg/kg for PFOA, PFHxS, and PFOS, respectively. These values reduced the uncertainty associated with soil variability and more accurately reflected the actual ecological risk of PFAS in soil. Overall, this study established a novel framework for deriving PFAS SEC and facilitated the transition from total concentration-based to bioaccessibility-based ecological risk assessment.

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Publication Details

Journal
Environmental Science & Technology
Published
2026-04-07
DOI
https://doi.org/10.1021/acs.est.6c01678
Primary Topic
Per- and polyfluoroalkyl substances research
Type
article
Field-Weighted Citation Impact
0.00

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article

Development of Bioaccessibility-Based Soil Environmental Criteria for PFAS through the Establishment of In Vitro Methods and Machine Learning Models

Mingxue Ren, Yong Kong, Xia Yang, Pengfei Zhou et al.
Environmental Science & Technology
Per- and polyfluoroalkyl substances research
article

Development of Bioaccessibility-Based Soil Environmental Criteria for PFAS through the Establishment of In Vitro Methods and Machine Learning Models

Mingxue Ren, Yong Kong, Xia Yang, Pengfei Zhou, Chenzhuo Song, Albert Juhasz, Xinyi Cui
article en

Abstract

values of 0.229, 0.330, and 0.313 mg/kg for PFOA, PFHxS, and PFOS, respectively. These values reduced the uncertainty associated with soil variability and more accurately reflected the actual ecological risk of PFAS in soil. Overall, this study established a novel framework for deriving PFAS SEC and facilitated the transition from total concentration-based to bioaccessibility-based ecological risk assessment.

Environmental Science & TechnologyVol. 60(15)
University of South Australia (AU), State Key Laboratory of Pollution Control and Resource Reuse (CN), The University of Adelaide (AU), Nanjing University (CN)
National Natural Science Foundation of China
Life in Land
Openalex Percentile: Top 23%
Per- and polyfluoroalkyl substances research
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