2001Food Science and Technology InternationalRequires access

Differentiation Parameters of Ribera del Duero Wines from Other Spanish Denominations of Origin

Silvia Pérez‐Magariño, M. L. Gonzlez-San Jos

Open publisher page 12 citations

Abstract

Commercial wines (247 samples) from different Spanish Denomination of Origin (D.O.) and from three consecutive vintages were analyzed. Stepwise discriminant analyses (SDA) were applied to the differentiation and classification of young red and rose wines by geographic origin. Good discriminant models with a small number of variables were obtained. These models gave high percentages of correct classification and prediction for both red (84.6% and 76.7%) and rose wines (87.7% and 82.6%). The variables with greater discriminating power were the phenolic compounds and the chromatic parameters. The discriminant models obtained to differentiate wines from D.O. “Ribera del Duero” were adequate with percentages of classification and prediction around 98%. So, these wines have some characteristics that differentiate them from the wines from other D.O.

About this research paper

What this paper is about

Commercial wines (247 samples) from different Spanish Denomination of Origin (D.O.) and from three consecutive vintages were analyzed. Stepwise discriminant analyses (SDA) were applied to the differentiation and classification of young red and rose wines by geographic origin. Good discriminant models with a small number of variables were obtained. These models gave high percentages of correct classification and prediction for both red (84.6% and 76.7%) and rose wines (87.7% and 82.6%). The variables with greater discriminating power were the phenolic compounds and the chromatic parameters. The discriminant models obtained to differentiate wines from D.O. “Ribera del Duero” were adequate with percentages of classification and prediction around 98%. So, these wines have some characteristics that differentiate them from the wines from other D.O.

Why it matters

OpenAlex reports 12 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Commercial wines (247 samples) from different Spanish Denomination of Origin (D.O.) and from three consecutive vintages were analyzed. Stepwise discriminant analyses (SDA) were applied to the differentiation and classification of young red and rose wines by geographic origin. Good discriminant models with a small number of variables were obtained. These models gave high percentages of correct classification and prediction for both red (84.6% and 76.7%) and rose wines (87.7% and 82.6%). The variables with greater discriminating power were the phenolic compounds and the chromatic parameters. The discriminant models obtained to differentiate wines from D.O. “Ribera del Duero” were adequate with percentages of classification and prediction around 98%. So, these wines have some characteristics that differentiate them from the wines from other D.O.

Key concepts: Linear discriminant analysis, Mathematics, Statistics, Food science, Chemistry

Related papers

Back to paper searchBrowse research topicsOriginal source
Differentiation Parameters of Ribera del Duero Wines from Other Spanish Denominations of Origin — Research Paper | ScholarLens