1H NMR based metabolite profiling for optimizing the ethanol extraction of Wolfiporia cocos

Publication date: Available online 24 April 2018Source: Saudi Journal of Biological SciencesAuthor(s): Junsang Oh, Deok-Hyo Yoon, Jae-Gu Han, Hyung-Kyoon Choi, Gi-Ho SungAbstractMetabolite profiling of Wolfiporia cocos (family: Polyporaceae) had been much advancement in recent days, and its analysis by nuclear magnetic resonance (NMR) spectroscopy has become well established. However, the highly important trait of W. cocos still needs advanced protocols despite some standardization. Partial least squares discriminant analysis (PLS-DA) was used as the multivariate statistical analysis of the 1H NMR data set. The PLS-DA model was validated, and the key metabolites contributing to the separation in the score plots of different ethanol W. cocos extract. 1H NMR spectroscopy of W. cocos identified 33 chemically diverse metabolites in D2O, consisting of 13 amino acids, 11 organic acids 2 sugars, 3 sugar alcohols, 1 nucleoside, and 3 others. Among these metabolites, the levels of tyrosine, proline, methionine, sarcosine, choline, acetoacetate, citrate, 4-aminobutyrate, aspartate, maltose, malate, lysine, xylitol, lactate threonine, leucine, valine, isoleucine, uridine, guanidoacetate, arabitol, mannitol, glucose, and betaine were increased in the 95% ethanol extraction sample compared with the levels in other samples, whereas level of acetate, phenylalanine, alanine, succinate, and fumarate were significantly increased in the 0% ethanol extraction sample. A biological triterpenoid, n...
Source: Saudi Journal of Biological Sciences - Category: Biology Source Type: research