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Rapid identification of chemical profile in Gandou decoction by UPLC-Q-TOF-MSE coupled with novel informatics UNIFI platform / 药物分析学报
Journal of Pharmaceutical Analysis ; (6): 35-48, 2020.
Article in Chinese | WPRIM | ID: wpr-824982
ABSTRACT
Gandou decoction (GDD), a well-known traditional Chinese medicine (TCM) formula, has been widely used for decades to treat Wilson's disease (WD) in China due to its remarkable clinical effects. However, the chemical constituents of GDD still remain unclear because of their complexity. In this work, a reliable and sensitive strategy based on ultra-performance liquid chromatography coupled with quadrupole time-of-flight tandem mass spectrometry (UPLC-Q-TOF-MSE) and UNIFI informatics platform was applied to investigate the chemical components in GDD. In total, 96 compounds including anthraqui-nones, alkaloids, protostane triterpenoids, flavonoids, triterpenoid saponins, tannins, curcuminoids, etc, were identified or tentatively characterized from GDD by comparing their retention time, accurate mass within 5 ppm error and MSE fragmentation patterns. Among them, eleven compounds were confirmed unambiguously with reference standards. Representative compounds in different chemical structure types were analyzed in fragmentation patterns and characteristic ions. Moreover, to better understand the chemical contribution of individual herbs to the whole decoction, the corresponding each herb in GDD was also detected. This study developed a rapid method for characterizing the chemical constitu-ents in GDD, which could not only be used for chemical standardization and quality control, but also be helpful for further research of GDD in vivo.

Full text: Available Index: WPRIM (Western Pacific) Type of study: Diagnostic study / Practice guideline / Prognostic study Language: Chinese Journal: Journal of Pharmaceutical Analysis Year: 2020 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Type of study: Diagnostic study / Practice guideline / Prognostic study Language: Chinese Journal: Journal of Pharmaceutical Analysis Year: 2020 Type: Article