Machine Learning-Assisted Identification and Quantification of Hydroxylated Metabolites of Polychlorinated Biphenyls in Animal Samples-Reference-Cited by-同舟云学术

Machine Learning-Assisted Identification and Quantification of Hydroxylated Metabolites of Polychlorinated Biphenyls in Animal Samples

Published:2022-09-01 Issue:18 Volume:56 Page:13169-13178
ISSN:0013-936X
Container-title:Environmental Science & Technology
language:en
Short-container-title:Environ. Sci. Technol.

Author:

Zhang Chun-Yun¹,Li Xueshu¹^ORCID,Keil Stietz Kimberly P.²,Sethi Sunjay²,Yang Weizhu³,Marek Rachel F.⁴^ORCID,Ding Xinxin³,Lein Pamela J.²^ORCID,Hornbuckle Keri C.⁴^ORCID,Lehmler Hans-Joachim¹^ORCID

Affiliation:

1. Department of Occupational and Environmental Health, The University of Iowa, Iowa City, Iowa 52242, United States

2. Department of Molecular Biosciences, School of Veterinary Medicine, University of California Davis, Davis, California 95616, United States

3. Department of Pharmacology and Toxicology, College of Pharmacy, University of Arizona, Tucson, Arizona 85721, United States

4. Department of Civil and Environmental Engineering and IIHR Hydroscience and Engineering, The University of Iowa, Iowa City, Iowa 52242, United States

Funder

National Institute of Environmental Health Sciences

Publisher

American Chemical Society (ACS)

Subject

Environmental Chemistry,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.est.2c02027

Reference68 articles.

1. Direct Evidence for Destruction of Polychlorobiphenyls by OH Radicals in the Subtropical Troposphere

2. OH Radical Reactions: The Major Removal Pathway for Polychlorinated Biphenyls from the Atmosphere

3. Metabolism and metabolites of polychlorinated biphenyls