Statistical Modelization of the Descriptor “Minerality” Based on the Sensory Properties and Chemical Composition of Wine

Statistical Modelization of the Descriptor “Minerality” Based on the Sensory Properties and Chemical Composition of Wine

When speaking of “minerality” in wines, it is common to find descriptive terms in the vocabulary of wine tasters such as flint, match smoke, kerosene, rubber eraser, slate, granite, limestone, earthy, tar, charcoal, graphite, rock dust, wet stones, salty, metallic, steel, ferrous...

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Bibliographic Details
Main Authors: Elvira Zaldívar Santamaría, David Molina Dagá, Antonio T. Palacios García
Format: Article
Language:English
Published: MDPI AG 2019-11-01
Series:Beverages
Subjects:
minerality
partial least squares regression
predictive model
white wine
red wine
Online Access:https://www.mdpi.com/2306-5710/5/4/66

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