title: Evidence of vintage effects on grape wines using 1H NMR-based metabolomic study.
abstract: The chemical composition of grape wines varies with grape variety, environmental factors of climate and soil, and bacterial strains, which can each affect the wine quality. Using (1)H NMR analysis coupled with multivariate statistical data sets, we investigated the effects of grape vintage on metabolic profiles of wine and the relationship between wine metabolites and meteorological data. Principal component analysis (PCA) showed a clear differentiation between Meoru wines that were vinified with the same yeast strain and Meoru grapes harvested from the same vineyard but with a different vintage. The metabolites contributing to the differentiation were identified as 2,3-butandiol, lactic acid, alanine, proline, gamma-aminobutyric acid (GABA), choline, and polyphenols, by complementary PCA loading plot. Markedly higher levels of proline, lactic acid and polyphenols were observed in the 2006 vintage wines compared to those of 2007 vintage, showing excellent agreement with the meteorological data that the sun-exposed time and rainfall in 2006 were approximately two times more and four times less, respectively, than those in 2007. These results revealed the important role of climate during ripening period in the chemical compositions of the grape. This study highlights the reliability of NMR-based metabolomic data by integration with meteorological data in characterizing wine or grape.
authors.affiliation: School of Life Science and Biotechnology, Korea University, Sungbuk-gu, Seoul 136-701, Republic of Korea.
authors.forename: Jang-Eun
authors.initials: JE
authors.lastname: Lee
authors.forename: Geum-Sook
authors.initials: GS
authors.lastname: Hwang
authors.forename: Frans
authors.initials: F
authors.lastname: Van Den Berg
authors.forename: Cherl-Ho
authors.initials: CH
authors.lastname: Lee
authors.forename: Young-Shick
authors.initials: YS
authors.lastname: Hong
mesh_terms: D009682:Magnetic Resonance Spectroscopy; D055432:Metabolomics / Q000379:methods*; D025341:Principal Component Analysis; D013696:Temperature; D027843:Vitis / Q000737:chemistry*; D014920:Wine / Q000032:analysis*