IVAS 2022 banner
IVES 9 IVES Conference Series 9 IVAS 9 IVAS 2022 9 Physico-chemical parameters as possible markers of sensory quality for ‘Barbera’ commercial red wines

Physico-chemical parameters as possible markers of sensory quality for ‘Barbera’ commercial red wines

Abstract

Wine quality is defined by sensory and physico-chemical characteristics. In particular, sensory features are very important since they strongly condition wine acceptability by consumers. However, the evaluation of sensory quality can be subjective, unless performed by a tasting panel of experienced tasters. Therefore, it is of great relevance to establish relationships between objective chemical parameters and sensory perceptions, even though the complexity of wine composition makes it difficult. In this sense, more reliable relationships can be found for a particular wine typology or variety. The present study aimed to predict the perceived sensory quality from the physico-chemical parameters of ‘Barbera d’Asti’ DOCG red wines (Italy).
A total of 111 commercial ‘Barbera’ wines from 2015 and 2016 vintages were evaluated by sensory analysis with a trained panel (n = 10). Quality and intensity of color, aroma, and mouthfeel, as well as global quality perception of wines were analyzed using unstructured scales (0-100 mm). After assessing the correlation among the different sensory perceptions analyzed, ‘Barbera’ wines were classified according to global perception values, and three groups were obtained by dividing the unstructured scale range into equal portions: G1 (30-45 mm), G2 (46-61 mm), and G3 (62-77 mm). Twenty-one physico-chemical variables, including standard chemical parameters, phenolic composition, and chromatic characteristics, were determined for the characterization of wines belonging to each sensory profile. Statistical analyses based on ANOVA, Tukey (HSD) test, Pearson correlation, and principal component analysis (PCA) were applied on physico-chemical and sensory data sets.Ten physico-chemical parameters (total anthocyanin index, monomeric anthocyanin content, total flavonoid index, color intensity, the three CIELab color coordinates, alcohol strength, malic acid content, and dry extract) were significantly different among the sensory groups established (G1, G2, and G3). When PCA was applied on these physico-chemical parameters and sensory traits, a good separation of the three sensory groups was observed. Chemical parameters often associated with red wine quality (such as ethanol, dry extract, anthocyanins, and color intensity) were well correlated with the best valued sensory group G3. This study contributes to better know which are the main chemical parameters that allow both to classify the wines according to the perceived sensory profile/quality and to predict some relevant wine sensory traits.

DOI:

Publication date: June 27, 2022

Issue: IVAS 2022

Type: Poster

Authors

Giacosa Simone1, Río Segade Susana1, Vilanova Mar2, Paissoni Maria Alessandra1, Rolle Luca1 and Gerbi Vincenzo1

1Dipartimento di Scienze Agrarie, Forestali e Alimentari, Università degli Studi di Torino
2Instituto de Ciencias de la Vid y del Vino (ICVV) Consejo Superior de Investigaciones Científicas CSIC-Universidad de La Rioja-Gobierno de La Rioja

Contact the author

Keywords

sensory analysis, phenolic composition, differentiation, prediction, red wines

Tags

IVAS 2022 | IVES Conference Series

Citation

Related articles…

Post-spring frost canopy development and fruit composition in cv. Barbera grapevines

One of the effects of warming trends is the advance of budburst, increasing the frequency of spring frost-related damage. In April 2021, a severe frost event affected central and northern italian viticulture. In a cv. Barbera vineyard located in the Colli Piacentini wine district, after such occurrence, vines were tracked and growth of primary bud shoots (PBS), secondary bud shoots (SBS), and suckers (SK) was monitored, as well as their fruitfulness and fruit composition. Vine performances were then compared to those of the previous year, when no post-budburst freezing temperatures occurred. The goal of the study was to evaluate the efficacy of SBS in restoring yield loss due to PBS injuries and analyze respective contribution to fruit composition.

High density balsamic vinegar: application of stable isotope ratio analysis to determine watering down.

Aceto balsamico di Modena IGP (ABM) is an Italian worldwide appreciated PGI (Protected Geographical Indication) vinegar,  obtained from cooked and/or concentrated grape must (at least 20% of the volume), with the addition of at least 10% of wine vinegar and a maximum 2% of caramel for color stability (EU Reg. 583/ 2009).

Nutrients and heavy metals in a vineyard soil under organic, biodynamic and conventional management

Promoting sustainable agricultural practices is one of the challenges of the last decades. Organic and biodynamic viticulture can be an alternative to intensive viticulture, furthermore contributing to reduction of impact on environment and human health and guaranteeing soil preservation and quality products1. The aim of this experimentation was to evaluate the medium and long-term effects of different agronomic practices in viticulture on nutrient availability and heavy metal accumulation in soil.

A better understanding of the climate effect on anthocyanin accumulation in grapes using a machine learning approach

The current climate changes are directly threatening the balance of the vineyard at harvest time. The maturation period of the grapes is shifted to the middle of the summer, at a time when radiation and air temperature are at their maximum. In this context, the implementation of corrective practices becomes problematic. Unfortunately, our knowledge of the climate effect on the quality of different grape varieties remains very incomplete to guide these choices. During the Innovine project, original experiments were carried out on Syrah to study the combined effects of normal or high air temperature and varying degrees of exposure of the berries to the sun. Berries subjected to these different conditions were sampled and analyzed throughout the maturation period. Several quality characteristics were determined, including anthocyanin content. The objective of the experiments was to investigate which climatic determinants were most important for anthocyanin accumulation in the berries. Temperature and irradiance data, observed over time with a very thin discretization step, are called functional data in statistics. We developed the procedure SpiceFP (Sparse and Structured Procedure to Identify Combined Effects of Functional Predictors) to explain the variations of a scalar response variable (a grape berry quality variable for example) by two or three functional predictors (as temperature and irradiance) in a context of joint influence of these predictors. Particular attention was paid to the interpretability of the results. Analysis of the data using SpiceFP identified a negative impact of morning combinations of low irradiance (lower than about 100 μmol m−2 s−1 or 45 μmol m−2 s−1 depending on the advanced-delayed state of the berries) and high temperature (higher than 25oC). A slight difference associated with overnight temperature occurred between these effects identified in the morning.

Comparison of the free radical-scavenging activity in infected oidium and sound dolcetto grape cultivar grown in a terroir of Central Italy

The importance of polyphenols, which are present in many vegetables and grapes too, is well-know and documented. Specific research works about the red grape