LIU Jie, LI Yue-ting, CHEN Yi-jun, XIAO Hong-bin. Advances in high-resolution mass spectrometric-based data-mining technologies for detecting and characterizing the components and metabolites of Chinese materia medicaJ. Acta Pharmaceutica Sinica, 2021,56(1): 113-129. doi: 10.16438/j.0513-4870.2020-1385
Citation: LIU Jie, LI Yue-ting, CHEN Yi-jun, XIAO Hong-bin. Advances in high-resolution mass spectrometric-based data-mining technologies for detecting and characterizing the components and metabolites of Chinese materia medicaJ. Acta Pharmaceutica Sinica, 2021,56(1): 113-129. doi: 10.16438/j.0513-4870.2020-1385

Advances in high-resolution mass spectrometric-based data-mining technologies for detecting and characterizing the components and metabolites of Chinese materia medica

  • Research on the material basis of Chinese materia medica (CMM) is the basis for modernization of CMM. High-resolution mass spectrometry (HRMS) has become a powerful tool for the qualitative analysis of the components of CMM. Some data-mining strategies based on high-resolution mass spectrometry, such as full-information tandem mass spectrometry scanning acquisition strategy, sequential windowed acquisition of all theoretical fragment ions, mass detect filter, characteristic ion filter, mass spectral tree similarity filter, etc. have greatly promoted the elucidation of the qualitative basis of CMM. In order to provide methods for the rapid discovery and structural characterization of components and metabolites of CMM, this review summarized the advances in HRMS-based data-mining technologies for detecting and characterizing the compounds and metabolites of CMM, which includes class compounds, all compounds and metabolites.
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