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…

Limiting magnesium availability: a novel approach to managing brettanomyces spoilage in winemaking

Brettanomyces is a world-renowned yeast that negatively impacts the chemical composition of wines through the production of metabolites that negatively impact the sensory properties of the final product. Its resilience in wine conditions and ability to produce off-flavors make it a challenge for winemakers. Currently, the primary control technique involves adding sulfur dioxide (SO2); however, some Brettanomyces strains are developing resistance to this preservative agent. [1] Therefore, new management strategies are necessary to control this spoilage yeast.

Rootstock effect on Cabernet Sauvignon aromatic and chemical composition

Grape quality potential for wine production is strongly influenced by environmental parameters and agronomic factors. Several studies underline the rootstock effect on scions vegetative growth and berry composition [1] with an impact on wine quality. Rootstocks are promising agronomic tools for climate change adaptation and in most grape-growing regions the potential diversity of rootstocks is not fully used and only a few genotypes are planted. Moreover, little is known about the effect of rootstock genetic variability on the aromatic composition in wines.

Applicability of grape native yeasts to enhance regional wine typicity

The universalization in wine production has been restricting the imprint of terroir in regional wines, resulting in loss of typicity. Microbes are the main driving force in wine production, conducting fermentation and originating a myriad of metabolites that underly wine aroma. Grape berries harbor an ecological niche composed of filamentous fungi, yeasts and bacteria, which are influenced by the ripening stage, cultivar and region. The research project GrapeMicrobiota gathers a consortium from University of Zaragoza, University of Minho and University of Tours and aims at the isolation of native yeast strains from berries of the wine region Douro, UNESCO World Heritage, towards the production of wines that stand out in the market for their authenticity and for reflecting their region of origin in their aroma.

Metabolomic profiling of botrytized grape berries: unravelling the dynamic chemical transformations during noble rot

Botrytis cinerea, a fungal pathogen commonly known as grey mold, which under specific climatic conditions can develop into a desirable form known as noble rot. In this process the fungus penetrates the grape skin, allowing water evaporation and concentration of sugars and flavors, while profoundly affects the metabolite composition of grapes, leading to the production of unique and desirable compounds in the resulting wines. The result is a unique and complex wine with a luscious sweetness, heightened aromatics, and a distinct character.

Barrels ad-hoc: Spanish oak wood classification by NIRs 

The wooden barrel is a key factor in enology, since wine chemical composition and sensory properties changes significantly in contact with the barrel[1]. Today’s highly competitive market constantly demands new differentiated products and wineries search innovations continuously.
Wood selection is crucial: barrels stability to keep constant their contribution and the result on products, and additional and differentiated wood contributions to impact their new products. Oak wood selection has traditionally been carried out using parameters such as specie, location and grain, however, it goes one step further nowadays. Large cooperage work with non-destructive techniques that allow classifying oak wood quickly and easily according to their organoleptic contribution[2].