ChloroDBPFinder: Machine Learning-Guided Recognition of Chlorinated Disinfection Byproducts from Nontargeted LC-HRMS Analysis-Reference-Cited by-同舟云学术

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ChloroDBPFinder: Machine Learning-Guided Recognition of Chlorinated Disinfection Byproducts from Nontargeted LC-HRMS Analysis

Published:2024-01-31 Issue:6 Volume:96 Page:2590-2598
ISSN:0003-2700
Container-title:Analytical Chemistry
language:en
Short-container-title:Anal. Chem.

Author:

Zhao Tingting¹,Wawryk Nicholas J. P.²,Xing Shipei¹,Low Brian¹,Li Gigi¹,Yu Huaxu¹^ORCID,Wang Yukai¹,Shen Qiming²,Li Xing-Fang²^ORCID,Huan Tao¹^ORCID

Affiliation:

1. Department of Chemistry, Faculty of Science, University of British Columbia, Vancouver Campus, 2036 Main Mall, Vancouver, British Columbia V6T 1Z1, Canada

2. Division of Analytical and Environmental Toxicology, Department of Laboratory Medicine and Pathology, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta T6G 2G3, Canada

Funder

Canada Research Chairs

Natural Sciences and Engineering Research Council of Canada

Alberta Innovates

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.analchem.3c05124

Reference46 articles.

1. Water Analysis: Emerging Contaminants and Current Issues

2. Overview of Disinfection By-products and Associated Health Effects

3. Drinking Water Disinfection Byproducts (DBPs) and Human Health Effects: Multidisciplinary Challenges and Opportunities

4. Monohaloacetic Acids and Monohaloacetamides Attack Distinct Cellular Proteome Thiols

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