Machine Learning and UHPLC-MS/MS-Based Discrimination of the Geographical Origin of <i>Dendrobium officinale</i> from Yunnan, China.

ABSTRACT: A rapid targeted screening method for 22 compounds, including flavonoids, glycosides, and phenolics, in Dendrobium officinale was developed using UHPLC-MS/MS, demonstrating good linear correlation coefficients, precision, repeatability, and stability. D. officinale from the Guangnan and Maguan regions can be effectively classified into two distinct categories using PCA. In addition, OPLS-DA discriminant analysis enables clear separation between groups, with samples forming well-defined clusters. The 22 chemical components provide valuable origin-related information for D. officinale. The compounds with VIP values of >1 included eriodictyol, vanillic acid, protocatechuic acid, gentisic acid, and naringenin. The difference in naringenin content between D. officinale</

SUBMITTER: Lin T 

PROVIDER: S-EPMC12523558 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature