GC‐MS‐Based Metabolite Profiling of <i>Cosmos caudatus</i> Leaves Possessing Alpha‐Glucosidase Inhibitory Activity

Abstract

GC-MS and multivariate data analysis was applied to discriminate Cosmos caudatus samples extracted with water and different ratio of ethanol. Orthogonal partial least-squares (OPLS) model developed was used to determine the major metabolites contributed to α-glucosidase inhibitory activity. This approach also has the ability to predict the bioactivity of a new set of extracts based on a developed validated regression model that is important for quality control of the herb preparation.