Downward migration of per- and polyfluoroalkyl substances (PFAS) in lake sediments: Reconsideration of temporal trend analysis

Using sediment cores to reconstruct the contamination history of per- and polyfluoroalkyl substances (PFAS) is essential for chemical management but poses challenge. Herein, sediment cores, as well as surface water and sediments were taken from two Chinese lakes to investigate the vertical distribution and migration of PFAS. Wind wave, properties of sediment and water, and chemical characters of PFAS were examined to clarify the main factors influencing PFAS migration. Total PFAS concentrations in sediment cores ranged from 0.12 to 5.28 ng g<sup>-1</sup> dry weight (dw) in Dianchi Lake and from 0.19 to 2.51 ng g<sup>-1</sup> dw in Taihu Lake, respectively. Strong hydrodynamic disturbance (wind-wave erosion depth up to 30 cm) in Taihu Lake resulted in consistent PFAS levels and profiles throughout the sediment core, limiting its use for retrospective analysis. In Dianchi Lake, an increasing trend of total organic carbon-normalized PFAS indicated their persistent emission in China over the past decades. Perfluorooctane sulfonic acid increased markedly from early 2000s; temporal trend in composition for perfluorocarboxylates coincided with the global production transition. Finally, we proposed a three-step conceptual framework, including lake selection, key time point assessment, and contamination history reconstruction, to further improve the reliability of PFAS retrospective analysis in lake.

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Publication Details

Journal
Journal of Hazardous Materials
Published
2025-04-14
DOI
https://doi.org/10.1016/j.jhazmat.2025.138290
Citations
7
Primary Topic
Per- and polyfluoroalkyl substances research
Type
article
Field-Weighted Citation Impact
6.02
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article

Downward migration of per- and polyfluoroalkyl substances (PFAS) in lake sediments: Reconsideration of temporal trend analysis

Ganyu Feng, Xiang‐Zhou Meng, Boxuan Zhang, Ziyao Xu et al.
7 citations
Journal of Hazardous Materials
Per- and polyfluoroalkyl substances research
6.02
article

Downward migration of per- and polyfluoroalkyl substances (PFAS) in lake sediments: Reconsideration of temporal trend analysis

Ganyu Feng, Xiang‐Zhou Meng, Boxuan Zhang, Ziyao Xu, Akmaral Tleubergenova, Ying Wang, Yuanming Zhang, Yunze Gao, Chao Yang
article en
7 citations

Abstract

Using sediment cores to reconstruct the contamination history of per- and polyfluoroalkyl substances (PFAS) is essential for chemical management but poses challenge. Herein, sediment cores, as well as surface water and sediments were taken from two Chinese lakes to investigate the vertical distribution and migration of PFAS. Wind wave, properties of sediment and water, and chemical characters of PFAS were examined to clarify the main factors influencing PFAS migration. Total PFAS concentrations in sediment cores ranged from 0.12 to 5.28 ng g<sup>-1</sup> dry weight (dw) in Dianchi Lake and from 0.19 to 2.51 ng g<sup>-1</sup> dw in Taihu Lake, respectively. Strong hydrodynamic disturbance (wind-wave erosion depth up to 30 cm) in Taihu Lake resulted in consistent PFAS levels and profiles throughout the sediment core, limiting its use for retrospective analysis. In Dianchi Lake, an increasing trend of total organic carbon-normalized PFAS indicated their persistent emission in China over the past decades. Perfluorooctane sulfonic acid increased markedly from early 2000s; temporal trend in composition for perfluorocarboxylates coincided with the global production transition. Finally, we proposed a three-step conceptual framework, including lake selection, key time point assessment, and contamination history reconstruction, to further improve the reliability of PFAS retrospective analysis in lake.

Journal of Hazardous MaterialsVol. 492
Tongji University (CN), State Key Laboratory of Pollution Control and Resource Reuse (CN), Jiaxing University (CN), Guangdong Research Institute of Water Resources and Hydropower (CN)
Life below water
Openalex Percentile: Top 4%
Per- and polyfluoroalkyl substances research
6.02
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