Spatial metabolomics method to reveal the differences in chemical composition of raw and honey‐fried Stemona tuberosa Lour. by using UPLC‐Orbitrap Fusion MS and desorption electrospray ionization mass spectrometry imaging

Abstract

AbstractIntroductionStemona tuberosa Lour. (ST) is a significant traditional Chinese medicine (TCM) renowned for its antitussive and insecticidal properties. ST is commonly subjected to processing in clinical practice before being utilized as a medicinal substance. Currently, the customary technique for processing ST is honey‐fried. Nevertheless, the specific variations in chemical constituents of ST before and after honey‐fried remain unclear.ObjectiveThis work aimed to analyze the variations in chemical constituents of ST before and after honey‐fried and to study the distribution of differential markers in the roots.MethodsUPLC‐Orbitrap Fusion MS combined with molecular network analysis was used to analyze the metabolome of ST and honey‐fried ST (HST) and to screen the differential metabolites by multivariate statistical analysis. Spatial metabolomics was applied to study the distribution of differential metabolites by desorption electrospray ionization mass spectrometry imaging (DESI‐MSI).ResultsThe ST and HST exhibited notable disparities, with 56 and 61 chemical constituents found from each, respectively. After processing, the types of alkaloids decreased, and 12 differential metabolites were screened from the common compounds. The notable component variations were epibisdehydro‐tuberostemonine J, neostenine, tuberostemonine, croomine, neotuberostemonine, and so forth. MSI visualized the spatial distribution of differential metabolites.ConclusionsOur research provided a rapid and effective visualization method for the identification and spatial distribution of metabolites in ST. Compared with the traditional method, this method offered more convincing data supporting the processing mechanism investigations of Stemona tuberosa from a macroscopic perspective.