2009
DOI: 10.1016/j.aca.2009.06.039
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Evidence of vintage effects on grape wines using 1H NMR-based metabolomic study

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Cited by 90 publications
(58 citation statements)
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“…The impact of seasonal variation (2011 and 2012) on the extractable polyphenols in grapes at different vineyard locations is evident. Climatic conditions play an important role in polyphenol biosynthesis in grapes, resulting in markedly higher levels of polyphenol contents in grapes grown in locations or areas with higher average daytime temperatures and decreased precipitation (Lee et al, 2009). The total polyphenol content in grapes proved to be higher in 2011, which was characterised by high vegetation temperatures and lower precipitation compared to 2012 for all three investigated varieties.…”
Section: Figurementioning
confidence: 99%
“…The impact of seasonal variation (2011 and 2012) on the extractable polyphenols in grapes at different vineyard locations is evident. Climatic conditions play an important role in polyphenol biosynthesis in grapes, resulting in markedly higher levels of polyphenol contents in grapes grown in locations or areas with higher average daytime temperatures and decreased precipitation (Lee et al, 2009). The total polyphenol content in grapes proved to be higher in 2011, which was characterised by high vegetation temperatures and lower precipitation compared to 2012 for all three investigated varieties.…”
Section: Figurementioning
confidence: 99%
“…The organic compounds that were responsible for the classification of the wine samples according to vintage were mainly amino acids, sugars, and aromatic compounds [11]. Meoru [65] and Chengsoo [53] wines were also classified according to the vintage year. Figure 10 There is a clear separation between the two vinification periods and the loading plot (B) shows that this classification is based on differences in lactic acid, γ-aminobutyric acid (GABA), and proline [65].…”
Section: Geographical Originmentioning
confidence: 99%
“…Meoru [65] and Chengsoo [53] wines were also classified according to the vintage year. Figure 10 There is a clear separation between the two vinification periods and the loading plot (B) shows that this classification is based on differences in lactic acid, γ-aminobutyric acid (GABA), and proline [65]. In another study, white wines produced in 2006 and 2007 showed discrimination using NMR metabolomics, with wines produced in 2006 having higher levels of leucine, phenylalanine, citrate, malate, and phenolics, compared to wines that were produced in 2007, and possessed higher levels of proline, alanine, and succinate [35].…”
Section: Geographical Originmentioning
confidence: 99%
“…climatic and soil conditions (Ribereau-Gayon, 1982, Lee et al,2009, Mativi et al, 2009, Roullier-Gall et al, 2014. The significant impact of the variety on the polyphenols in wine was shown in the research conducted by Pajovic et al (2014a) in 2011 and 2012, whose aim was to characterise Vranac, Kratosija and Cabernet Sauvignon wines according to the polyphenol content.…”
Section: Introductionmentioning
confidence: 99%