terclim by ICS banner
IVES 9 IVES Conference Series 9 International Congress on Grapevine and Wine Sciences 9 2ICGWS-2023 9 Prediction of aromatic attributes of red wines from its colour properties 

Prediction of aromatic attributes of red wines from its colour properties 

Abstract

Wine perception is a multisensory experience that makes use of the sight, smell, and taste senses. When wine is sensorially assessed, the stimulus received generates multiple signals that tasters convert into organoleptic descriptors. Colour is commonly the first attribute evaluated during wine tasting. Moreover, the colour properties provide the taster with a priori information of the wine’s aroma. This preconceived perception is later confirmed or denied during the aroma evaluation. The aim of this study was therefore to investigate if the wine’s colour properties contain information relevant to the aromatic expression of red wines. To simulate the colour perception of a wine taster, RGB images were taken from 50 wines in both a static position and after a fixed inclination of the wine holder was applied. The aroma properties of the wines were assessed using a tasting sheet adapted to the wine aroma evaluation method used for teaching activities. Attributes such as the main central note, secondary notes, primary and secondary groups of aromas and finally the specific aroma descriptors were collected. Two levels of intensity (low and high) were also assigned to the specific aroma descriptors. The aroma evaluation of the wines was conducted in dark glasses to avoid biases in the responses. After multivariate data analysis and feature extraction, the relevant information of the RGB images was correlated with the aromatic descriptors using neural networks techniques. The results obtained showed certain ability of the wine’s colour properties to predict some of the major aromatic descriptors, proving that relevant information to wine aroma is contained within the colour properties of the wines. This study reaffirmed the multisensory nature of wine tasting and the potential value of using colour properties together with aromatic information to replicate wine aroma from chemical data.  

DOI:

Publication date: October 4, 2023

Issue: ICGWS 2023

Type: Article

Authors

Jose Luis Aleixandre-Tudo1,2*, Samuel Verdú1: Raúl Grau1

1Instituto de Ingeniería de Alimentos (FoodUPV), Departamento de Tecnología de Alimentos, Universidad Politécnica de Valencia, Valencia, Spain
2South African Grape and Wine Research Institute (SAGWRI), Department of Viticulture and Oenology, Stellenbosch University, Stellenbosch, South Africa

Contact the author*

Keywords

multisensory experience, colour, RGB images, aroma, neural networks

Tags

2ICGWS | ICGWS | ICGWS 2023 | IVES Conference Series

Citation

Related articles…

Impact of polyclonal selection for abiotic stress tolerance on the yield and must quality traits of grapevine varieties

The effects of climate change in viticulture are currently a major concern, with heat waves and drought affecting yield, wine quality, and in extreme cases, even plant survival. Ancient grapevine varieties have high intravarietal genetic variability that so far has been explored successfully to improve yield and must quality. Currently, there is little information available on intravarietal variability regarding responses to stress. In the current work, the intravarietal genetic variability of several Portuguese varieties was studied for yield, must quality, and tolerance to abiotic stress, through indirect, rapid, and nondestructive measurements carried out in the field.

Analysis of volatile composition of interaction between the pathogen E. necator and two grapevine varieties

Volatile organic compounds (VOCs) are emitted by nearly all plant organs of the plants, including leaves. They play a key role in the communication with other organisms, therefore they are involved in plant defence against phytopathogens. In this study VOCs from grapevine leaves of two varieties of Vitis vinifera infected by Erysiphe necator were analysed. The varieties were selected based on their susceptibility to pathogen, Kishmish Vatkana has the Ren1 resistance gene and Zamarrica showed high susceptibility in previous trials.

Preliminary study of the influence of ripening on the polysaccharide content of different red grape varieties

Grape skin has a barrier and protective function in grapes. Cell wall of grape skins is mainly composed of polysaccharides such as pectins, celulloses and hemicelluloses and structural proteins. Terroir, variety and changes during ripening can affect the content of polysaccharides in grapes. The aim of this study was to evaluate the content of polysaccharides (PS) in grapes along the ripening process. Three red grape varieties were studied: Garnacha (G), Tempranillo (T) and Prieto Picudo (PP).

Phenotyping bud break and trafficking of dormant buds from grafted vine

In grapevine, phenology from bud break to berry maturation, depends on temperature and water availability. Increases in average temperatures accelerates initiation of bud break, exposing newly formed shoots to detrimental environmental stresses. It is therefore essential to identify genotypes that could delay phenology in order to adapt to the environment. The use of different rootstocks has been applied to change scion’s characteristics, to adapt and resist to abiotic and biotic stresses[1].

A phylogenomic study reveals the major dissemination routes of ‘Tempranillo Tinto’ in the Iberian Peninsula

‘Tempranillo Tinto’ is a black-berried Iberian cultivar that originated from a hybridization between cvs. ‘Benedicto’ and ‘Albillo Mayor’ [1]. Today, it is the third most widely grown wine grape cultivar worldwide with more than 200,000 hectares of vineyards mostly distributed along the Iberian Peninsula, where it is also known as ‘Cencibel’, ‘Tinta de Toro’, ‘Tinta Roriz’, and ‘Aragonez’, among other synonyms. Here, we quantified the intra-varietal genomic diversity in this cultivar through the study of 35 clones or ancient vines from seven different Iberian wine-making regions. A comparative analysis after Illumina whole-genome sequencing revealed the presence of 1,120 clonal single nucleotide variants (SNVs).