Volume 12 Issue 3
Jun.  2022
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Jingchao Shi, Xiaoxia Gao, Airong Zhang, Xuemei Qin, Guanhua Du. Characterization of multiple chemical components of GuiLingJi by UHPLC-MS and 1H NMR analysis[J]. Journal of Pharmaceutical Analysis, 2022, 12(3): 460-469. doi: 10.1016/j.jpha.2021.09.013
Citation: Jingchao Shi, Xiaoxia Gao, Airong Zhang, Xuemei Qin, Guanhua Du. Characterization of multiple chemical components of GuiLingJi by UHPLC-MS and 1H NMR analysis[J]. Journal of Pharmaceutical Analysis, 2022, 12(3): 460-469. doi: 10.1016/j.jpha.2021.09.013

Characterization of multiple chemical components of GuiLingJi by UHPLC-MS and 1H NMR analysis

doi: 10.1016/j.jpha.2021.09.013
Funds:

We acknowledge financial support from the Shanxi Provincial Science and Technology Key Research and Development Plan (Grant Nos.: 201603D3113006 and 201903D311012). We also thank the Scientific Instrument Center of Shanxi University for the UHPLC-QE HRMS and 1H NMR analyses.

  • Received Date: Apr. 06, 2021
  • Accepted Date: Sep. 24, 2021
  • Rev Recd Date: Sep. 16, 2021
  • Publish Date: Sep. 25, 2021
  • GuiLingJi (GLJ), a classic traditional Chinese medicine (TCM) formula, is composed of over 20 herbs, according to the Pharmacopeia of the People's Republic of China. Owing to its various activities, GLJ has been used in clinical settings for more than 400 years in China. However, the ambiguous chemical material basis limits the development of studies on the quality control and pharmacological mechanisms of GLJ. Therefore, comprehensive characterization of the multiple chemical components of GLJ is of great significance for the modernization of this formula. Given the great variety of herbs in GLJ, both UHPLC-MS and 1H NMR techniques were employed in this study. In addition, solvent extraction with different polarities was used to eliminate signal interference and the concentration of trace components. A variety of MS analytic methods were also used, including implementation of a self-built compound database, diagnostic ion filtering, mass defect filtering, and Compound Discoverer 3.0 analysis software. Based on the above strategies, a total of 150 compounds were identified, including 5 amino acids, 13 phenolic acids and glycosides, 11 coumarins, 72 flavones, 20 triterpenoid and triterpenoid saponins, 23 fatty acids, and 6 other compounds. Moreover, 13 compounds were identified by 1H NMR spectroscopy. The UHPLC-MS and 1H NMR results supported and complemented each other. This strategy provides a rapid approach to analyzing and identifying the chemical composition of Chinese herbal prescriptions. The current study provides basis for further research on the quality control and pharmacological mechanism of GLJ.
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