Determination of the Age of Sherry Wines by Regression Techniques Using Routine Parameters and Phenolic and Volatile Compounds
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文摘
This paper describes a study of the possibility of obtaining regression models by means of partialleast squares (PLS) and multiple linear regression (MLR) that would enable us to correlate a seriesof parameters, such as the concentration of short-chain organic acids, higher alcohols, and phenoliccompounds with the age of vintage Sherry wines or "añadas". The aim of this study is to characterizehow these parameters evolve with aging. If this could be done, it would then be possible to guaranteethe age of such wines using objective variables. A PLS regression model was established that allowsthe age to be predicted with a mean deviation of 1.6 years with respect to the age of the wines. Inthe case of the MLR, a model with 6 variables was obtained that gives a mean deviation of 3.3 yearsin the predictions.Keywords: Partial least squares; multiple linear regression; phenolic compounds; volatile compounds;wine; aging

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