title: Metabolic discrimination of mango juice from various cultivars by band-selective NMR spectroscopy.
abstract: NMR-based metabolic analysis of foods has been widely applied in food science. In this study, we performed discrimination of five different mango cultivars, Awin, Carabao, Keitt, Kent, and Nam Dok Mai, using metabolic analysis with band-selective excitation NMR spectra. A combination of unsupervised principal component analysis (PCA) with low-field region (1)H NMR spectra obtained by band-selective excitation provided a good discriminant model of the five mango cultivars. Using F(2)-selective 2D NMR spectra, we also identified various minor components in the mango juice. Signal assignment of the minor components facilitated the interpretation of the loading plot, and it was found that arginine, histidine, phenylalanine, glutamine, shikimic acid, and trigonelline were important for classification of the five mango cultivars.
authors.affiliation: Department of Applied Biological Chemistry, Graduate School of Agricultural and Life Sciences, The University of Tokyo, Tokyo, Japan.
authors.forename: Masanori
authors.initials: M
authors.lastname: Koda
authors.forename: Kazuo
authors.initials: K
authors.lastname: Furihata
authors.forename: Feifei
authors.initials: F
authors.lastname: Wei
authors.forename: Takuya
authors.initials: T
authors.lastname: Miyakawa
authors.forename: Masaru
authors.initials: M
authors.lastname: Tanokura
mesh_terms: D001628:Beverages / Q000032:analysis*; D009682:Magnetic Resonance Spectroscopy / Q000379:methods*; D031022:Mangifera / Q000737:chemistry* / Q000145:classification / Q000378:metabolism*; D055442:Metabolome; D025341:Principal Component Analysis