Predicting the grades of Astragali radix using mass spectrometry-based metabolomics and machine learning.

ABSTRACT: Astragali radix (AR, the dried root of Astragalus) is a popular herbal remedy in both China and the United States. The commercially available AR is commonly classified into premium graded (PG) and ungraded (UG) ones only according to the appearance. To uncover novel sensitive and specific markers for AR grading, we took the integrated mass spectrometry-based untargeted and targeted metabolomics approaches to characterize chemical features of PG and UG samples in a discovery set (n=16 batches). A series of five differential compounds were screened out by univariate statistical analysis, including arginine, calycosin, ononin, formononetin, and astragaloside Ⅳ, most of which were observed to be accumulated in PG samples except for astragaloside Ⅳ. Then, we performed machine lear

SUBMITTER: Yu X 

PROVIDER: S-EPMC8572717 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature