Rebuttal to Correspondence on “Machine Learning-Assisted Identification and Quantification of Hydroxylated Metabolites of Polychlorinated Biphenyls in Animal Samples”

Chun Yun Zhang; Xueshu Li; Kimberly P. Keil Stietz; Sunjay Sethi; Weizhu Yang; Rachel F. Marek; Xinxin Ding; Pamela J. Lein; Keri C. Hornbuckle; Hans Joachim Lehmler

doi:10.1021/acs.est.3c01659

Rebuttal to Correspondence on “Machine Learning-Assisted Identification and Quantification of Hydroxylated Metabolites of Polychlorinated Biphenyls in Animal Samples”

Chun Yun Zhang
, Xueshu Li
, Kimberly P. Keil Stietz
, Sunjay Sethi
, Weizhu Yang
, Rachel F. Marek
, Xinxin Ding
, Pamela J. Lein
, Keri C. Hornbuckle
, Hans Joachim Lehmler

Research output: Contribution to journal › Letter › peer-review

Original language	English (US)
Pages (from-to)	6251-6252
Number of pages	2
Journal	Environmental Science and Technology
Volume	57
Issue number	15
DOIs	https://doi.org/10.1021/acs.est.3c01659
State	Published - Apr 18 2023

ASJC Scopus subject areas

General Chemistry
Environmental Chemistry

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10.1021/acs.est.3c01659

Cite this

Zhang, C. Y., Li, X., Keil Stietz, K. P., Sethi, S., Yang, W., Marek, R. F., Ding, X., Lein, P. J., Hornbuckle, K. C., & Lehmler, H. J. (2023). Rebuttal to Correspondence on “Machine Learning-Assisted Identification and Quantification of Hydroxylated Metabolites of Polychlorinated Biphenyls in Animal Samples”. Environmental Science and Technology, 57(15), 6251-6252. https://doi.org/10.1021/acs.est.3c01659

Rebuttal to Correspondence on “Machine Learning-Assisted Identification and Quantification of Hydroxylated Metabolites of Polychlorinated Biphenyls in Animal Samples”. / Zhang, Chun Yun; Li, Xueshu; Keil Stietz, Kimberly P. et al.
In: Environmental Science and Technology, Vol. 57, No. 15, 18.04.2023, p. 6251-6252.

Research output: Contribution to journal › Letter › peer-review

Zhang, CY, Li, X, Keil Stietz, KP, Sethi, S, Yang, W, Marek, RF, Ding, X, Lein, PJ, Hornbuckle, KC & Lehmler, HJ 2023, 'Rebuttal to Correspondence on “Machine Learning-Assisted Identification and Quantification of Hydroxylated Metabolites of Polychlorinated Biphenyls in Animal Samples”', Environmental Science and Technology, vol. 57, no. 15, pp. 6251-6252. https://doi.org/10.1021/acs.est.3c01659

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title = "Rebuttal to Correspondence on “Machine Learning-Assisted Identification and Quantification of Hydroxylated Metabolites of Polychlorinated Biphenyls in Animal Samples”",

author = "Zhang, \{Chun Yun\} and Xueshu Li and \{Keil Stietz\}, \{Kimberly P.\} and Sunjay Sethi and Weizhu Yang and Marek, \{Rachel F.\} and Xinxin Ding and Lein, \{Pamela J.\} and Hornbuckle, \{Keri C.\} and Lehmler, \{Hans Joachim\}",

note = "Funding Information: This work was supported by Grants ES005605, ES013661, ES014901, ES027169, and ES031098 from the National Institute of Environmental Health Sciences, National Institutes of Health. The content is solely the responsibility of the authors. It does not necessarily represent the official views of the National Institute of Environmental Health Sciences, National Institutes of Health. ",

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doi = "10.1021/acs.est.3c01659",

language = "English (US)",

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AU - Zhang, Chun Yun

AU - Li, Xueshu

AU - Keil Stietz, Kimberly P.

AU - Sethi, Sunjay

AU - Yang, Weizhu

AU - Marek, Rachel F.

AU - Ding, Xinxin

AU - Lein, Pamela J.

AU - Hornbuckle, Keri C.

AU - Lehmler, Hans Joachim

N1 - Funding Information: This work was supported by Grants ES005605, ES013661, ES014901, ES027169, and ES031098 from the National Institute of Environmental Health Sciences, National Institutes of Health. The content is solely the responsibility of the authors. It does not necessarily represent the official views of the National Institute of Environmental Health Sciences, National Institutes of Health.

PY - 2023/4/18

Y1 - 2023/4/18

UR - https://www.scopus.com/pages/publications/85152148851

UR - https://www.scopus.com/pages/publications/85152148851#tab=citedBy

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DO - 10.1021/acs.est.3c01659

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AN - SCOPUS:85152148851

SN - 0013-936X

VL - 57

SP - 6251

EP - 6252

JO - Environmental Science and Technology

JF - Environmental Science and Technology

IS - 15

ER -

Rebuttal to Correspondence on “Machine Learning-Assisted Identification and Quantification of Hydroxylated Metabolites of Polychlorinated Biphenyls in Animal Samples”

ASJC Scopus subject areas

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