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Published on: June 9, 2021
Modeling grape taste and mouthfeel from chemical composition
Sara Ferrero-Del-Teso1, Alejandro Suárez1, Chelo Ferreira2
1Instituto de Ciencias de la Vid y del Vino (ICVV) (Universidad de La Rioja-CSIC-Gobierno de La Rioja), Carretera de Burgos Km. 6, Finca La Grajera, 26007 Logroño, La Rioja, Spain.
Grape phenolic compounds significantly influence wine’s taste and mouthfeel. Chemical analysis accurately predicts sensory properties like dryness, bitterness, and texture, aiding in grape quality assessment.
Area of Science:
- Enology
- Food Chemistry
- Sensory Science
Background:
- Grape phenolic compounds are crucial for wine sensory attributes.
- Understanding the chemical basis of these properties can improve wine quality assessment.
Purpose of the Study:
- To predict grape sensory properties from their chemical composition.
- To establish models linking phenolic compounds to taste and mouthfeel.
Main Methods:
- Phenolic fractions (PFs) were extracted from 31 grape varieties.
- Wine models containing PFs were chemically and sensorially analyzed.
- Partial Least Squares (PLS) regression was used to build predictive models.
Main Results:
- Significant sensory differences were observed among grape PFs.
- Tannin activity, concentration, and polymerization predicted dryness.
- Large polymeric pigments correlated with "sticky" mouthfeel, and flavonols with bitterness.
- Validated PLS models successfully predicted two out of three sensory dimensions.
Conclusions:
- Chemical composition of grape PFs can predict key sensory attributes.
- This approach offers a method for inferring grape quality based on chemical analysis.
- The study enhances understanding of grape chemistry-sensory relationships in wine.
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