Wu Xiaolong, Guo Yiyang, Zhang Yinsheng, Li Sen
Hubei Key Laboratory of Multi-media Pollution Cooperative Control in Yangtze Basin, School of Environmental Science and Engineering, Huazhong University of Science and Technology, 1037 Luoyu Road, Wuhan, 430074, China.
Sci Data. 2025 Sep 2;12(1):1529. doi: 10.1038/s41597-025-05836-6.
Per- and polyfluoroalkyl substances (PFAS), particularly the legacy compounds Perfluorooctane sulfonic acid (PFOS) and perfluorooctanoic acid (PFOA), are globally ubiquitous persistent organic pollutants that pose significant health risks. Although these compounds were prioritized in China's 2023 pollutant control list, comprehensive, up-to-date, and georeferenced data on their distribution in China have been lacking. Here, we present a dataset comprising 2653 records of PFOA and PFOS concentrations across China, compiled from 287 peer-reviewed publications between 2021 and 2024. The dataset covers diverse environmental media, including water, soil, air, and biota, and provides detailed sampling location, concentration, and methodological metadata. Analysis reveals that PFOS and PFOA are widely detected across China, with higher concentrations and research activity concentrated in coastal and industrialized regions, and predominant detections in water bodies, food, and animal tissues. This dataset enables spatiotemporal analysis of contamination hotspots, supports regulatory action, and benchmarks remediation efficacy. Its structured format also facilitates integration with public health and ecological models, offering policymakers and researchers a foundational resource for mitigating PFAS exposure in China.
全氟和多氟烷基物质（PFAS），尤其是传统化合物全氟辛烷磺酸（PFOS）和全氟辛酸（PFOA），是全球普遍存在的持久性有机污染物，会带来重大健康风险。尽管这些化合物在中国2023年污染物控制清单中被列为优先管控对象，但一直缺乏关于它们在中国分布的全面、最新且有地理参考的数据。在此，我们展示了一个数据集，该数据集包含中国各地2653条全氟辛酸和全氟辛烷磺酸浓度记录，这些记录汇编自2021年至2024年间的287篇同行评审出版物。该数据集涵盖了多种环境介质，包括水、土壤、空气和生物群，并提供了详细的采样地点、浓度和方法学元数据。分析表明，全氟辛烷磺酸和全氟辛酸在中国各地均被广泛检测到，较高浓度和研究活动集中在沿海和工业化地区，且在水体、食物和动物组织中检测结果最为突出。这个数据集能够对污染热点进行时空分析，支持监管行动，并为修复效果提供基准。其结构化格式还便于与公共卫生和生态模型整合，为政策制定者和研究人员提供了一个减轻中国全氟和多氟烷基物质暴露的基础资源。
