Medcheck: A novel software for automated de-formulation of traditional Chinese medicine (TCM) prescriptions by liquid chromatography-mass spectrometry

Xiao-lan Li; Jian-qing Zhang; Yun Li; Xuan-jing Shen; Huan-ya Yang; Lin Yang; Meng Xu; Qi-rui Bi; Chang-liang Yao; De-an Guo

doi:10.1016/j.jpha.2024.02.012

Volume 14 Issue 6

Jun. 2024

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Article Navigation > Journal of Pharmaceutical Analysis > 2024 > 14(6): 100958

Xiao-lan Li, Jian-qing Zhang, Yun Li, Xuan-jing Shen, Huan-ya Yang, Lin Yang, Meng Xu, Qi-rui Bi, Chang-liang Yao, De-an Guo. Medcheck: A novel software for automated de-formulation of traditional Chinese medicine (TCM) prescriptions by liquid chromatography-mass spectrometry[J]. Journal of Pharmaceutical Analysis, 2024, 14(6): 100958. doi: 10.1016/j.jpha.2024.02.012

Citation:

Xiao-lan Li, Jian-qing Zhang, Yun Li, Xuan-jing Shen, Huan-ya Yang, Lin Yang, Meng Xu, Qi-rui Bi, Chang-liang Yao, De-an Guo. Medcheck: A novel software for automated de-formulation of traditional Chinese medicine (TCM) prescriptions by liquid chromatography-mass spectrometry[J]. Journal of Pharmaceutical Analysis, 2024, 14(6): 100958. doi: 10.1016/j.jpha.2024.02.012

Citation:

Xiao-lan Li, Jian-qing Zhang, Yun Li, Xuan-jing Shen, Huan-ya Yang, Lin Yang, Meng Xu, Qi-rui Bi, Chang-liang Yao, De-an Guo. Medcheck: A novel software for automated de-formulation of traditional Chinese medicine (TCM) prescriptions by liquid chromatography-mass spectrometry[J]. Journal of Pharmaceutical Analysis, 2024, 14(6): 100958. doi: 10.1016/j.jpha.2024.02.012

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Medcheck: A novel software for automated de-formulation of traditional Chinese medicine (TCM) prescriptions by liquid chromatography-mass spectrometry

doi: 10.1016/j.jpha.2024.02.012

a. Shanghai Research Center for Modernization of Traditional Chinese Medicine, National Engineering Research Center of TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China;
b. University of Chinese Academy of Sciences, Beijing, 100049, China

Funds:

The authors gratefully acknowledge the Guangxi Science and Technology Major Program (Grant No.: GUIKEAA23023035), Key Program of National Natural Science Foundation of China (Grant No.: 82130111), Guangxi Science and Technology Major Project (Grant No.: GUIKEAA22096029), and Science and Technology Major Project of Inner Mongolia (Grant No.: 2021ZD0017).

Received Date: Sep. 21, 2023
Accepted Date: Feb. 25, 2024
Rev Recd Date: Jan. 06, 2024
Publish Date: Mar. 12, 2024

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References(5)

References

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