Work

Artificial Intelligence-Powered Prediction of Microplastic–Pollutant Adsorption Coefficients Enables Scalable Risk Prioritization in Aquatic Environments

Year: 2026

Type: article

Source: Environmental Science & Technology

DOI: 10.1021/acs.est.5c15868

Authors: Xihe Yang, Jiaqi Luo, Xin Zhang, Wenxiao Pan, Qiao Xue, Hongru Feng, Xian Liu, Yuanjiang Pan, Jianjie Fu, Aiqian Zhang

Institutions: Zhejiang University, Chinese Academy of Sciences, Research Center for Eco-Environmental Sciences, University of Chinese Academy of Sciences, State Key Laboratory of Environmental Chemistry and Ecotoxicology

Language: English

Topic: Microplastics and Plastic Pollution

Subfield: Pollution

Field: Environmental Science

Domain: Physical Sciences

SDG: Clean water and sanitation

Open Access status: closed

Funders: National Natural Science Foundation of China, Chinese Academy of Sciences, Youth Innovation Promotion Association of the Chinese Academy of Sciences

Awards: G1305504813, G6007918836, G6896930262, G7758101378, G7956258992, G8182646591

OpenAlex ID: W7124903976

FWCI: 5.287

Cites: 51

Cited by: 3

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