Towards the Creation of a Wine Quality Prediction Index: Correlation of Chardonnay Juice and Wine Compositions from Different Regions and Quality Levels

Gambetta, J, Cozzolino, D, Bastian, S and Jeffery, D 2016, 'Towards the Creation of a Wine Quality Prediction Index: Correlation of Chardonnay Juice and Wine Compositions from Different Regions and Quality Levels', Food Analytical Methods, vol. 9, no. 10, pp. 2842-2855.


Document type: Journal Article
Collection: Journal Articles

Title Towards the Creation of a Wine Quality Prediction Index: Correlation of Chardonnay Juice and Wine Compositions from Different Regions and Quality Levels
Author(s) Gambetta, J
Cozzolino, D
Bastian, S
Jeffery, D
Year 2016
Journal name Food Analytical Methods
Volume number 9
Issue number 10
Start page 2842
End page 2855
Total pages 14
Publisher Springer New York LLC
Abstract Wine quality depends upon the composition of the grapes used in its production, which in turn depends on the weather and soil of the growing region together with viticultural practices. Region is used by many winemakers as a proxy for quality but objective quality measures are lacking. This study examined the compositional aspects of Chardonnay wines produced with berries from different regions. Through descriptive analysis, distinct sensory profiles were recognised for three diverse regions in South Australia (Adelaide Hills, Eden Valley, Riverland), which helped to pinpoint compounds relating to higher- and lower-quality Chardonnay wines. Correlations between the content of elements, fatty acids, free volatiles and conjugated glycosides in berries from different quality levels, and the composition of their corresponding wines, were investigated. Higher berry concentrations of linalool, (E)-linalool oxide, (Z)-3-hexen-1-ol, decanoic acid, vitispirane, Cu, Zn, and behenic acid, and lower °Brix and pH levels were related to higher quality wines.
Subject Sensor Technology (Chemical aspects)
Keyword(s) Chardonnay
Isoprenoids
Objective measures of quality
Partial least squares regression
Principal component analysis
Sensory descriptive analysis
DOI - identifier 10.1007/s12161-016-0467-9
Copyright notice © Springer Science+Business Media
ISSN 1936-9751
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