2009
DOI: 10.1016/j.foodres.2009.08.006
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Characterization of wines from grape varieties through multivariate statistical analysis of 1H NMR spectroscopic data

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Cited by 91 publications
(65 citation statements)
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“…In fact, the whole NMR spectrum of a wine sample can be considered as a molecular fingerprint, and as such it can be used directly for comparison and identification purposes in metabolite fingerprinting of different wines. This chemical compositional/spectroscopic information constitutes the so-called wine metabolome, which is affected by a multitude of wine-making factors, including agronomic practices and pedoclimatic conditions [14], grape variety [15], fermentation practices [16], and geographical origin [17], and can be used for quality control and authentication purposes. For example, the ability to study geographical origin-related NMR metabolic effects is of extreme importance, since the high added value of wines is obtained from enforcing protected denomination of origin (PDO) and protected geographical indication (PGI) state regulations to control the appellation of wines [2,5].…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…In fact, the whole NMR spectrum of a wine sample can be considered as a molecular fingerprint, and as such it can be used directly for comparison and identification purposes in metabolite fingerprinting of different wines. This chemical compositional/spectroscopic information constitutes the so-called wine metabolome, which is affected by a multitude of wine-making factors, including agronomic practices and pedoclimatic conditions [14], grape variety [15], fermentation practices [16], and geographical origin [17], and can be used for quality control and authentication purposes. For example, the ability to study geographical origin-related NMR metabolic effects is of extreme importance, since the high added value of wines is obtained from enforcing protected denomination of origin (PDO) and protected geographical indication (PGI) state regulations to control the appellation of wines [2,5].…”
Section: Introductionmentioning
confidence: 99%
“…Cabernet Sauvignon had higher levels of proline, while Shiraz wines had higher levels of sugars (fructose and glucose), succinate, methanol, acetate, and some aliphatic amino acids [57]. Son et al [15] used 1 H NMR spectroscopy coupled with multivariate statistical data analysis (PCA, OPLS-DA) in order to characterize wines from different grape varieties cultivated in South Korea. Figure 8 presents the PCA score plot of the four grape varieties (Muscat Bailey, Campbell Early, Kyoho, and Meoru), demonstrating the clear separation between different wines as a function of the cultivar.…”
mentioning
confidence: 99%
“…34 The range of titratable acidity (11.9-16.1 g L -1 ) was higher than that usually conferred to Vitis vinifera and Vitis labrusca wines, which is 5.0-8.6 g L -1 . 13,35 Such high acidity is mainly due to the high contents of citric acid, which contains three carboxylic groups. This is usually a problem for most jabuticaba wines.…”
Section: Resultsmentioning
confidence: 99%
“…Therefore, monitoring the levels of these compounds during the fermentative process may reveal possible defects which could affect the quality of the final product. 11 Nuclear magnetic resonance spectroscopy (NMR) has been applied in the analysis of fruit juices and wine, 12,13 as well as in monitoring organic acids, sugars and alcohols during fermentation. 14-16 1 H NMR spectroscopy is useful to simultaneously quantify diverse compounds in a complex mixture, such as must and wine, without previous laborious sample treatment.…”
Section: Introductionmentioning
confidence: 99%
“…6B). [8,10,15] Although many grape metabolites of amino acids, organic acids, and sugars also have been found to be associated with environmental factors of climate, vintage, and soil, [30,31] they would not be available for describing the [8,10,29] Lee et al [15] Wine Variety, region, vintage, winery G O O Anastasiadi et al [22] Wine/berry Variety, growing condition G O O Rochfort et al [35] Plus sensory evaluation Wine Wine quality G O O Skogerson et al [16] Plus sensory evaluation Wine Soil G O O Mazzei et al [54] Wine Variety, vintage G O O Ali et al [34] Plus sensory evaluation Wine Blend G O X Imparato et al [46] Berry Harvesting time, variety G O O Mulas et al [48] Ali et al [47] Leaf/berry/wine Disease, fungus infection G O O Lima et al [50] Ali et al [49] Figueiredo et al [51] Hong et al [52] Wine Fermentative time T O O López-Rituerto et al [43] Monitoring changes in several metabolites Wine Fermentative time T X X Avenoza et al [55] Monitoring changes in citrate and malate Wine Fermentative time, yeast and lactic acid bacteria strains G O O Son et al [9] Monitoring global changes and fermentative behavior…”
Section: Wine Metabolites Associated With Environmental Factormentioning
confidence: 99%