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…

Under-vine management effects on grapevine vegetative growth, gas exchange and rhizosphere microbial diversity

The use of cover crops under the vines might be an alternative to the use of herbicides or tillage, improving grapevine quality and soil characteristics. The aim of this research was to study the implications of different management strategies of the soil under the vines (herbicide, cultivation or cover crops) on grapevine growth, water and nutritional status, gas exchange parameters and belowground microbial communities.
The experimental design consisted in 4 treatments applied on 35L-potted Tempranillo vegetative grapevines with 10 replicates each grown in an open-top greenhouse in 2022 and 2023. Treatments included two cover crop species (Trifolium fragiferum and Bromus repens), herbicide (glyphosate al 36%) and an untreated control.

Ecophysiological characterisation of terroir effects on Vitis vinifera L. Chardonnay and pinot noir in south african cool climate regions

Terroir encompasses environmental (climate, geology, soil and topography), genetic (cultivar and clone) and human factors (oenological and viticultural practices). Climate change brings about shifts in the suitability of a region for the growth of specific grapevine cultivars. This study focused on climatic and fruit parameters (berry size, weight, pH, total acidity (TA) and phenolics) to characterise the terroir effect in Vitis vinifera L. cultivars Chardonnay and Pinot Noir vineyards in the Cape South Coast region (Walker Bay and Elgin).

Viticultural heritage in mountain territories of Catalonia: prospecting in the region of Osona, northern Spain

The recovery of ancestral or minority vine varieties has been gaining great interest in recent years, among other reasons because it is likely that some of these varieties, due to the fact that they are found in relict areas, have a greater potential for adaptation to external factors (biotic or abiotic) and can minimize the effects that climate change is causing in viticulture. Varieties that can be grown at altitude are currently being sought to combat rising temperatures and prolonged extreme drought conditions. In Catalonia, the Pyrenean expansion of vineyard cultivation is documented from the 10th century and has been related to the “small climatic optimum” (9th-12th centuries) and also to seigniorial power.[1] But different adverse climatic periods and the arrival of Phylloxera by the late 19th century made many of these crops disappear.[2]

Predicting provenance and grapevine cultivar implementing machine learning on vineyard soil microbiome data: implications in grapevine breeding

The plant rhizosphere microbial communities are an essential component of plant microbiota, which is crucial for sustaining the production of healthy crops. The main drivers of the composition of such communities are the growing environment and the planted genotype. Recent viticulture studies focus on understanding the effects of these factors on soil microbial composition since microbial biodiversity is an important determinant of plant phenotype, and of wine’s organoleptic properties. Microbial biodiversity of different wine regions, for instance, is an important determinant of wine terroir.

The use of δ13C as an indicator of water use efficiency for the selection of drought tolerant grapevine varieties

In the context of climate change with increasing evaporative demand, understanding the water use behavior of different grapevine cultivars is of critical importance. Carbon isotope discrimination (δ13C) measurements in wine provide a precise and integrated assessment of the water status of the vines during the sugar accumulation period in grape berries. When collected over multiple vintages on different cultivars, δ13C measurements can also provide insights into the effects of genotype on water use efficiency.