Quality assessment of Astragali Radix based on pseudo-targeted metabolomics approach

Autor: Yaxuan Guo, Zhenyu Li, Xuemei Qin
Rok vydání: 2022
Popis: Astragali Radix (AR) is widely used because of its dual use in medicine and food, and its quality evaluation is of great importance. In this study, a pseudo-targeted metabolomics approach based on scheduled multiple reaction monitoring (sMRM) was developed, and a total of 114 compounds with good linearity, sensitivity and reproducibility were selected for relative quantification. With the help of multivariate and univariate analysis, 26 differential compounds between wild/semi-wild AR (AR-W) and cultivated AR (AR-C) were determined. Then 5 marker compounds were screened out by lasso regression, and further verified by systematic clustering, random forest, support vector machine, and receiver operating characteristic (ROC) analysis. In addition, malonyl-substituted flavonoids showed relative higher content in AR-W. Thus, the malonyl-substitution was the characteristic for flavonoids in AR-W. In conclusion, the application of pseudo-targeted metabolomics and various statistical methods could offer multi-dimensional information for the holistic quality evaluation of AR.
Databáze: OpenAIRE