Macrowine 2021
IVES 9 IVES Conference Series 9 A new approach for sensory characterization of grape. Relationship with chemical composition

A new approach for sensory characterization of grape. Relationship with chemical composition

Abstract

AIM: Characterize taste and mouthfeel properties of grapes elicited by the phenolic fraction (PF) of grape berries and establish relationships with chemical variables.

METHODS: As many as 31 diverse grape lots of Tempranillo Tinto and Garnacha Tinta from three different regions were harvested. Grapes were destemmed and macerated in 15% of ethanol for one week and extracts were submitted to solid phase extraction. The recovered polyphenolic fraction was reconstituted in wine model and characterized by a panel of 21 wine experts employing a list of 23 taste and mouthfeel-related attributes following a rate-k-attributes methodology.

RESULTS: Six significant attributes among the 31 samples differed based on ANOVA results: “dry”, “coarse”, “bitter”, “dry on tongue”, “sticky” and “watery”. PCA with VARIMAX algorithm was calculated. Three main independent dimensions defining the sensory space of PFs were identified: D1, “dry on the tongue”; D2, “bitter/ sticky”; and D3: “coarse/dry”. Two out of the three dimensions could be satisfactory modeled by PLS-regression from chemical parameters. Tannin activity and tannin concentration along with mDP of tannins proved to be good predictors of perceived dryness. Flavonols have a good prediction power for “bitter” attribute and the “sticky/bitter” dimension. In addition, the low molecular weight anthocyanins seem to be involved in the formation of the “dry” attribute, whereas large polymeric pigments in the “sticky” attribute and the “sticky/bitter” dimension.

CONCLUSIONS:

This study has increased our knowledge about some of the chemical drivers of grape sensory properties and presents a powerful tool for the wine industry to assess grape quality.

DOI:

Publication date: September 22, 2021

Issue: Macrowine 2021

Type: Article

Authors

Maria-Pilar Saenz-Navajas , Logroño, Alejandro, Suárez, Chelo, Ferreira, Panagiotis, Arapitsas, Daniele, Perenzoni, Fulvio, Mattivi,  Vicente, Ferreira,

Instituto De Ciencias De La Vid Y Del Vino (Ur-Csic-Gr). Department Of Enology, La Rioja, Spain, Universidad De Zaragoza, Iuma, Spain.   Fondazione Edmund Mach, Italy.  Universidad De Zaragoza, Ia2, Spain.  Purificación, Fernandez-Zurbano, Instituto De Ciencias De La Vid Y Del Vino (Ur-Csic-Gr). La Rioja, Spain.

Contact the author

Keywords

pls, phenolic fraction, grape quality, mouthfeel, taste

Citation

Related articles…

α-Terpinyl ethyl ether: stereoselective GC × GC confirmation and identification of its precursors in wine

Wines exhibit profound chemical complexity which arise from a diverse array of compounds that contribute to its sensory profile.

Port wine region settling

Cet exposé présente une caractérisation générale de la Région Délimitée du Douro (RDD), productrice des appellations Porto (vins généreux), et Douro pour des vins de qualité VQPRD.

Typology of Terroirs around the world

It seems implausible that the geographical development of the vineyards could have been affected by a shift in the positions of the Earth’continents

Non-destructive his based analysis for shelf-life evaluation of table grape 

Fast, accurate, and non-destructive analytical techniques based on hyperspectral imaging (hsi) represent effective tools for food quality evaluation. A visible change in the appearance of a fresh product often negatively impacts the perceived quality from a consumer’s point of view.

Methodological advances in relating deep root activity to whole vine physiology

Full understanding of grapevine responses to variable soil resources requires
assessing the grapevine root system. Grapevine root systems are expansive and examining deep roots (i.e., >40 cm)
is particularly important in conditions where grapevines increase reliance on deep soil resources, such as drought
or plant competition. Traditional methods of assessing roots rely on morphological traits associated specific
functions (e.g., root color, diameter, length), while recent methodological advances allow for estimating root
function more directly (e.g., omics). Yet, the potential of applying refined methods remains underexplored for roots
at deep depths.