Literature DB >> 19616691

Evidence of vintage effects on grape wines using 1H NMR-based metabolomic study.

Jang-Eun Lee1, Geum-Sook Hwang, Frans Van Den Berg, Cherl-Ho Lee, Young-Shick Hong.   

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.

Entities:  

Mesh:

Year:  2009        PMID: 19616691     DOI: 10.1016/j.aca.2009.06.039

Source DB:  PubMed          Journal:  Anal Chim Acta        ISSN: 0003-2670            Impact factor:   6.558


  12 in total

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9.  Characterization of volatile components in makgeolli, a traditional Korean rice wine, with or without pasteurization, during storage.

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10.  Cool-Climate Red Wines-Chemical Composition and Comparison of Two Protocols for ¹H-NMR Analysis.

Authors:  Violetta Aru; Klavs Martin Sørensen; Bekzod Khakimov; Torben Bo Toldam-Andersen; Søren Balling Engelsen
Journal:  Molecules       Date:  2018-01-13       Impact factor: 4.411

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