Introduction: Astragali Complanati, known in Chinese as Shayuanzi, is a common medicinal material in traditional Chinese medicine, mainly used for tonifying the kidney, supporting yang, consolidating essence, reducing urine and other diseases.
Objective: The UPLC fingerprint of Astragali Complanati Semen (ACS) was established, and the Q-markers of ACS were analyzed by network pharmacology.
Method: First, the UPLC fingerprint detection method was established for ACS, and the common peaks were identified by UPLC-MS/MS. The "component-target-pathway" network relationships of characteristic components of ACS were constructed by network pharmacology, and the potential Q-markers were predicted.
Results: A total of 24 common peaks were identified from the UPLC fingerprint of ACS, and 12 chromatographic peaks were identified by UPLC-MS/MS. A total of 12 Q-markers candidate components were screened out. Through network pharmacological analysis, it is predicted that myricetin 3-O-β-D-xylopyranosyl-(1-2)-[α-L-rhamnopyranosyl-(1-6)]-β-D-glucopyranoside, myricetin 3-O-β-D-xylopyranosyl(1-2)-β-D-glucopyranoside, myricetin 3-β-D-glucopyranoside, cannabiscitrin, laricitrin-3-O-glucoside, leucoside, complanatoside B, complanatuside, complanatuside 6''-malonate, clycosin, rhamnocitrin 3-O-β-D-apiofuranosyl(1→2)-β-D-glucopyranoside and 3-O-[5'''-O-feruloyl-beta-D-apiofuranosyl(1'''->2'')-beta-D-glucopyranosyl] rhamnocitrin are the Q-markers of ACS.
Conclusion: The method established in this study was accurate, reliable, simple and practical and could be used as a reference method for ACS quality detection. Twelve Q-markers selected by network pharmacology could provide support and references for ACS quality control.
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http://dx.doi.org/10.1093/jaoacint/qsae077 | DOI Listing |
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