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Rapid Identification on Chemical Components in Dalbergiae Odoriferae Lignum by UPLC-Q-TOF-MS/MS / 中国实验方剂学杂志
Article in Zh | WPRIM | ID: wpr-873257
Responsible library: WPRO
ABSTRACT
Objective::Dalbergiae Odoriferae Lignum is a rare traditional Chinese medicine material in China. However, there are many varieties of various sources and different qualities in the market at present. In order to further define the pharmacodynamic substance basis, electrospray time-of-flight tandem mass spectrometry (UPLC-Q-TOF-MS/MS) was used to rapidly analyze chemical constituents of methanol extract of Dalbergiae Odoriferae Lignum. Method::Chromatographic separation was performed on an UPLC RRHD SB-C18(3.0 mm×100 mm, 1.8 μm)for gradient elution, with mixtures of acetonitrile and 0.1%formic acid-water as mobile phases at a flow rate of 0.3 mL·min-1. The column temperature was maintained at 40 ℃. The data was collected in a negative ion mode with electro-spray ionization source(ESI). Result::According to molecular ion peaks and MS2 mass spectrometry characteristic fragment ions, Mass Bank databases, as well as the mass spectrometry information of reference substances and relevant literatures, a total of 83 constituents were identified, including 18 flavones, 31 isoflavones, 10 neoflavonoids, 9 isoflavanones, 7 other flavonoids and 8 other components. Conclusion::UPLC-Q-TOF-MS/MS can quickly, accurately and comprehensively identify chemical constituents in methanol extract of Dalbergiae Odoriferae Lignum, and isoflavones, flavones, neoflavonoids and isoflavanones are the main chemical constituents, which laid a foundation for the basic research of medicinal substances of Dalbergiae Odoriferae Lignum, and provided theoretical basis and technical support for the improvement of quality standards of Dalbergiae Odoriferae Lignum.
Key words
Full text: 1 Database: WPRIM Type of study: Diagnostic_studies / Prognostic_studies Language: Zh Journal: Chinese Journal of Experimental Traditional Medical Formulae Year: 2020 Document type: Article
Full text: 1 Database: WPRIM Type of study: Diagnostic_studies / Prognostic_studies Language: Zh Journal: Chinese Journal of Experimental Traditional Medical Formulae Year: 2020 Document type: Article