Evaluation of the aroma descriptors variability in Spanish grape cultivars by a quantitative descriptive analysis

Aroma descriptors variability was evaluated by quantitative descriptive analysis (QDA) in Spanish cultivars. Abariño, Mencía and Godello cultivars were evaluated by three expert panels by using monovarietal wines. The frequency and intensity of aroma descriptors was evaluated and geometric mean (GM)...

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Detalles Bibliográficos
Autores: Vilanova de la Torre, María del Mar, Masa Vázquez, Antón, Tardáguila, Javier
Tipo de recurso: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2009
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/113238
Acceso en línea:http://hdl.handle.net/10261/113238
Access Level:acceso abierto
Palabra clave:QDA
PCA
Sensory analysis
Wine
Grape cultivars
Aroma
Descripción
Sumario:Aroma descriptors variability was evaluated by quantitative descriptive analysis (QDA) in Spanish cultivars. Abariño, Mencía and Godello cultivars were evaluated by three expert panels by using monovarietal wines. The frequency and intensity of aroma descriptors was evaluated and geometric mean (GM) was calculated. The largest differences between cultivars were shown by principal component analysis (PCA). Albariño cultivar was characterised by Ripe fruit, Apple and Fruit descriptors; Mencía cultivar was Balsamic and Red fruit, while Citric, Grass, Pineapple, Toasting, Tropical, Dry grass, Pear, Melon and Floral were the attributes of the Godello cultivar. According to GM obtained of aroma attributes from, a positive correlation was found between Albariño and Godello cultivars. The QDA and PCA have contributing to define the aroma of different Spanish grape cultivars (Albariño, Mencía and Godello) by analysis of the monovarietal wines. The results obtained suggest that QDA is a good tool to evaluate the sensory variability of a product, when the tasting panel is good trained.