Gas Chromatography Mass Spectrometry Based Metabolite Profiling In Ethanolic extract of Soybean (Glycine max (L.) Merr) seeds

Abstract

Multiple genetic, physiological, and environmental conditions are likely to alter the metabolic composition of plants. Metabolomics aims to provide a comprehensive and unbiased analysis of all metabolites and is therefore a very powerful tool for characterizing the plant metabolome and is of great interest to plant scientists. Because of the diversity of structural classes of metabolites, ranging from primary metabolites to very complex secondary metabolites, there is no single methodology that can measure the complete metabolome in one step. By employing a combination of different instrument platforms and techniques, the differences in the metabolite profiles can be revealed. In particular, gas chromatography–mass spectrometry (GC–MS). Current work provides an metabolite analysis of polarity based extracts of Glycine max (L.) Merr) seeds via UV-Vis. Spectroscopy and GC-MS analysis of one of the extract. Results showed that ethanolic extract had highest concnentration of 4',7-Dihydroxyisoflavone Daidzeol and GC- MS analysis of ethanolic extract showed that it contained  9,12-Octadecadienoic acid (Z,Z)-, methyl ester, 12-Octadecenoic acid, methyl ester, 11-Octadecenoic acid, methyl ester, Linoleic acid ethyl ester, (E)-9-Octadecenoic acid ethyl ester and 4',7-Dihydroxyisoflavone Daidzeol (whose retention time varied from 13. 797 min 9.097 min). These compounds can be isolated from the active extract and can be used for the evaluation of therapeutic effects via in vitro and in vivo studies.