Work

Combining Suspect Screening with Large Language Model-Based Text Mining to Comprehensively Characterize Organic Compounds in Human Milk Associated with Pregnancy Complications

Year: 2025

Type: article

Source: Environmental Science & Technology

DOI: 10.1021/acs.est.5c12937

Authors: Xin Cheng, Lirong Gao, Qiaofeng Ai, Ruiqi Wang, Siya Hao, Qianling Yang, Yingxin Zhang, Yucheng Lou, Jingguang Li, Lei Zhang, Bing Lyu, Minghui Zheng

Institutions: Chinese Academy of Sciences, Research Center for Eco-Environmental Sciences, University of Chinese Academy of Sciences, State Key Laboratory of Environmental Chemistry and Ecotoxicology, Chinese Academy of Medical Sciences & Peking Union Medical College, China National Center for Food Safety Risk Assessment

Language: English

Topic: Effects and risks of endocrine disrupting chemicals

Subfield: Health, Toxicology and Mutagenesis

Field: Environmental Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

Funders: National Natural Science Foundation of China, Chinese Academy of Sciences, National Key Research and Development Program of China

Awards: G1483445879, 基于全二维气相色谱法的人体暴露非靶标有机污染物分析初探, G7351523657, G8825006406

OpenAlex ID: W7117330336

FWCI: 0.406

Cites: 85

Cited by: 1

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