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Journal of Environmental Sciences (China)|October 1, 2022
Association between serum levels of TSH and free T4 and per- and polyfluoroalkyl compounds concentrations in pregnant womenAijing Li, Jian Hou, Jianjie Fu, et al.
Environmental Geochemistry and Health|March 31, 2017
Analysis of a broad range of perfluoroalkyl acids in accipiter feathers: method optimization and their occurrence in Nam Co Basin, Tibetan PlateauYili Li, Ke Gao, Bu Duo, et al.
Environmental Science & Technology|June 4, 2024
New Mechanism for the Apoptosis of Human Neuroblastoma Cells by the Interaction between Fluorene-9-Bisphenol and the G Protein-Coupled Estrogen Receptor 1Xiuchang Liu, Zhi Cheng, Xueliang Shang, et al.
Environmental Pollution (Barking, Essex : 1987)|May 21, 2014
Environmental fate and behavior of persistent organic pollutants in Shergyla Mountain, southeast of the Tibetan Plateau of ChinaNali Zhu, Karl-Werner Schramm, Thanh Wang, et al.
Methodsx|September 6, 2018
Determination of short-chain chlorinated paraffins in multiple matrices of Arctic using gas chromatography-electron capture negative ion-low resolution mass spectrometryHuijuan Li, Jianjie Fu, Wenxiao Pan, et al.
Environmental Science. Processes & Impacts|August 31, 2013
Temporal trends of PCBs, PCDD/Fs and PBDEs in soils from an E-waste dismantling area in East ChinaPu Wang, Haidong Zhang, Jianjie Fu, et al.
Environmental Science & Technology|April 6, 2026
Nontarget Revealing of Polybrominated Organic Pollutants in Soil from Electronic Waste Dismantling AreasYi Wang, Yanna Liu, Detong Xi, et al.
Scientific Reports|December 2, 2016
Occurrence, temporal trends, and half-lives of perfluoroalkyl acids (PFAAs) in occupational workers in ChinaJianjie Fu, Yan Gao, Lin Cui, et al.
The Science of the Total Environment|March 6, 2017
Environmental behaviour of short-chain chlorinated paraffins in aquatic and terrestrial ecosystems of Ny-Ålesund and London Island, Svalbard, in the ArcticHuijuan Li, Jianjie Fu, Wenxiao Pan, et al.
Environmental Science & Technology|January 20, 2026
Artificial Intelligence-Powered Prediction of Microplastic-Pollutant Adsorption Coefficients Enables Scalable Risk Prioritization in Aquatic EnvironmentsXihe Yang, Jiaqi Luo, Xin Zhang, et al.
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