Characteristics, main sources, health risks of PM <sub>2.5</sub> -bound polyfluoroalkyl substances (PFAS) in Zhengzhou, central China: from seasonal variation perspective

Abstract. Polyfluoroalkyl substances (PFAS) have become the focus due to their physicochemical stability and potential toxicity. In this study, the investigation aimed to characterize the pollution levels, identify the primary sources, and assess the health risks associated with PFAS in PM2.5. The average concentration range for PFAS were between 46.68 and 181.63 pg m−3, with the main components being perfluorooctanoic acid (PFOA), perfluorooctane sulfonate (PFOS), and perfluorobutanoic acid. PFAS concentrations in PM2.5 were greatly influenced by the short- and medium-range air masses, and markedly elevated by industrial activities in surrounding urban areas. The results by positive matrix factorization revealed that PFOA-based products (38.2 %) and degradation byproducts of fluorotelomer alcohols (26.7 %) were the predominant sources. The average daily inhalation of 17 PFAS fluctuated greatly (median: 4.35 × 10−3 to 8.78 pg (kg d)−1), showing different seasonal variations with estimated daily intake of PFOA and PFOS reaching peak value in winter (5869.39 pg) and spring (4219.41 pg), respectively. The research indicated that seasonal regulation of PFOA-related manufacturing and joint pollution control with neighboring cities could reduce PFAS levels in PM2.5. The results provided theoretical support for government to make targeted control plans for PFAS and basic data for relevant researchers.

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Publication Details

Journal
Atmospheric chemistry and physics
Published
2025-11-05
DOI
https://doi.org/10.5194/acp-25-14735-2025
Citations
4
Primary Topic
Per- and polyfluoroalkyl substances research
Type
article
Field-Weighted Citation Impact
3.44
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article

Characteristics, main sources, health risks of PM 2.5 -bound polyfluoroalkyl substances (PFAS) in Zhengzhou, central China: from seasonal variation perspective

Jingshen Zhang, Nan Jiang, Fulai Liu, Fengchang Wu et al.
4 citations
Atmospheric chemistry and physics
Per- and polyfluoroalkyl substances research
3.44
article

Characteristics, main sources, health risks of PM 2.5 -bound polyfluoroalkyl substances (PFAS) in Zhengzhou, central China: from seasonal variation perspective

Jingshen Zhang, Nan Jiang, Fulai Liu, Fengchang Wu, Zichen Wang, Xibin Ma, Minzhen Li
article en
4 citations

Abstract

Abstract. Polyfluoroalkyl substances (PFAS) have become the focus due to their physicochemical stability and potential toxicity. In this study, the investigation aimed to characterize the pollution levels, identify the primary sources, and assess the health risks associated with PFAS in PM2.5. The average concentration range for PFAS were between 46.68 and 181.63 pg m−3, with the main components being perfluorooctanoic acid (PFOA), perfluorooctane sulfonate (PFOS), and perfluorobutanoic acid. PFAS concentrations in PM2.5 were greatly influenced by the short- and medium-range air masses, and markedly elevated by industrial activities in surrounding urban areas. The results by positive matrix factorization revealed that PFOA-based products (38.2 %) and degradation byproducts of fluorotelomer alcohols (26.7 %) were the predominant sources. The average daily inhalation of 17 PFAS fluctuated greatly (median: 4.35 × 10−3 to 8.78 pg (kg d)−1), showing different seasonal variations with estimated daily intake of PFOA and PFOS reaching peak value in winter (5869.39 pg) and spring (4219.41 pg), respectively. The research indicated that seasonal regulation of PFOA-related manufacturing and joint pollution control with neighboring cities could reduce PFAS levels in PM2.5. The results provided theoretical support for government to make targeted control plans for PFAS and basic data for relevant researchers.

Atmospheric chemistry and physicsVol. 25(21)
Zhengzhou University (CN), Henan Academy of Sciences (CN), Chinese Research Academy of Environmental Sciences (CN)
Openalex Percentile: Top 7%
Per- and polyfluoroalkyl substances research
3.44
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