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For: Zhang CY, Li X, Keil Stietz KP, Sethi S, Yang W, Marek RF, Ding X, Lein PJ, Hornbuckle KC, Lehmler HJ. Machine Learning-Assisted Identification and Quantification of Hydroxylated Metabolites of Polychlorinated Biphenyls in Animal Samples. Environ Sci Technol 2022;56:13169-13178. [PMID: 36047920 PMCID: PMC9573770 DOI: 10.1021/acs.est.2c02027] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Revised: 08/15/2022] [Accepted: 08/22/2022] [Indexed: 06/02/2023]
Number Cited by Other Article(s)
1
Ganneru S, Seetha BS, Mudiam MKR. A green deep eutectic solvent based dispersive liquid-liquid microextraction for the quantitative analysis of 21 polychlorinated biphenyl metabolites in food of animal origin using injector port silylation-gas chromatography-tandem mass spectrometry. J Chromatogr A 2023;1708:464338. [PMID: 37703765 DOI: 10.1016/j.chroma.2023.464338] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Revised: 08/24/2023] [Accepted: 08/27/2023] [Indexed: 09/15/2023]
2
Deng F, Pan J, Chen M, Liu Z, Chen J, Liu C. Integrating CRISPR-Cas12a with catalytic hairpin assembly as a logic gate biosensing platform for the detection of polychlorinated biphenyls in water samples. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023;881:163465. [PMID: 37068691 DOI: 10.1016/j.scitotenv.2023.163465] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/08/2023] [Revised: 03/23/2023] [Accepted: 04/08/2023] [Indexed: 06/01/2023]
3
Zhang CY, Li X, Keil Stietz KP, Sethi S, Yang W, Marek RF, Ding X, Lein PJ, Hornbuckle KC, Lehmler HJ. Rebuttal to Correspondence on "Machine Learning-Assisted Identification and Quantification of Hydroxylated Metabolites of Polychlorinated Biphenyls in Animal Samples". ENVIRONMENTAL SCIENCE & TECHNOLOGY 2023;57:6251-6252. [PMID: 37017328 PMCID: PMC10518181 DOI: 10.1021/acs.est.3c01659] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/19/2023]
4
Ziegler P, Quinete N, Bertram J, Randerath I, Kraus T, Schettgen T. Correspondence on "Machine Learning-Assisted Identification and Quantification of Hydroxylated Metabolites of Polychlorinated Biphenyls in Animal Samples". ENVIRONMENTAL SCIENCE & TECHNOLOGY 2023;57:6248-6250. [PMID: 37017335 DOI: 10.1021/acs.est.3c00660] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/19/2023]
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