terclim by ICS banner
IVES 9 IVES Conference Series 9 International Congress on Grapevine and Wine Sciences 9 2ICGWS-2023 9 Overall conceptual characterization of aged dry white wines using a mental descriptive questionnaire

Overall conceptual characterization of aged dry white wines using a mental descriptive questionnaire

Abstract

The purpose of the present study was to understand the overall concept of an aged dry white wine using a descriptive mental questionnaire. A total of 680 worldwide participants, grouped according to their involvement in the wine business, replied to an online questionnaire to characterize the sensory analytical and synthetic descriptors of an aged dry white wine. The descriptors were selected using a Check-All-That-Apply (CATA) approach concerning wine colour, aroma, taste, mouthfeel, and global appreciation.

 

The responses checked by at least 20% of the participants included the following number of descriptors: (a) 5, for the colour; (b) 7, for the aromas; (c) 6, for the taste and the mouthfeel; and (d) 10, for the global appreciation. The involvement level did not influence the diversity of the sensory descriptors. However, highly involved subjects used more frequently terms such as beeswax, kerosene, length and saltiness. Overall, the conceptual space of aged white wines may be characterized by deep yellow to deep gold colour and aromas of dried fruit, honey, caramel, oak and beeswax. The taste and mouthfeel were dominated by acidity, body, length, viscosity, smoothness and dryness. The global appreciation included terms such as complex, persistent, rich, concentrated and developed. A consensual tasting script could have the following text: “Deep gold to amber colour, mature and developed aroma, with notes of dried fruit, honey and caramel. Taste dominated by acidity, encompassing a mouthfeel sensation marked by body, dryness, smoothness and after-mouth persistence.” This overall sensory space is consistent with the metaphorical concept of “mellowed by age” wines, thus avoiding the conceivable negative connotation of “old wine”.

DOI:

Publication date: October 5, 2023

Issue: ICGWS 2023

Type: Article

Authors

Manuel Malfeito-Ferreira* and Mariana Sequeira

Linking Landscape, Environment, Agriculture and Food (LEAF) Research Center, Associated Laboratory TERRA, Instituto Superior de Agronomia, University of Lisbon, Tapada da Ajuda, 1349-017 Lisboa, Portugal

Contact the author*

Keywords

white wines, longevity, aging potential, sensory conceptual spaces, tasting scripts, mellowed wines

Tags

2ICGWS | ICGWS | ICGWS 2023 | IVES Conference Series

Citation

Related articles…

Association between dietary pattern and wine consumption and Alzheimer’s disease in a cohort from La Rioja (Spain)

Addressing modifiable risk factors is the most promising strategy to prevent/delay Alzheimer Disease (AD)[1]. The aim of the study was to establish the connections between dietetic habits, wine consumption and AD. Thus, 98 volunteers were recruited: 50 diagnosed as AD and 48 healthy/controls. The Food Frequency Questionnaire (FFQ) was used for dietary patterns assessment and, based on these data, the Mind Diet Score was calculated. (Poly)phenol metabolites (especially derived from wine consumption) were analyzed by UPLC-QqQ-MS/MS in 24-h urine samples to confirm dietary (poly)phenol consumption.

A novel approach for the identification of new biomarkers of wine consumption in human urine using untargeted metabolomics

Wine is one of the most representative components of Mediterranean diet. Moderate wine intake together with food, has been positively correlated with reduced risk of many chronic diseases. This beneficial effect seems to be ascribed to elevated polyphenolic content of wine [1]. Traditional approaches for the identification of wine biomarkers consumption include targeted metabolomics that focuses on the quantification of well-defined metabolites, losing a valuable information about a massive number of compounds. On the other hand, untargeted metabolomics can disclose a large quantity of signals corresponding to potential biomarkers in a single analysis with high sensitivity and resolution.

“Compost Application in the Vineyard: Effects on Soil Nutrition and Compaction”

The mechanization of pruning and harvesting in vineyards has increased the risk of soil compaction. To reclaim soil properties or avoid this degradation process, it is crucial to properly manage the soil organic matter, and the application of compost derived from the vines themselves is a strategy to achieve this. The objective of this study was to evaluate the properties of soil treated with different doses of compost applied both on the vine row and the inter rows of a Vitis vinifera crop.

How are canned wine drinkers perceived? An investigation involving Swiss nationals and different scenarios of outdoor leisure activities

This study examines how people who consume wine in cans are perceived in terms of their basic personality characteristics, helps understand the role of cultural background on people’s perception, and verify the role played by the consumption context on the perception. Our hypothesis is that prejudice and negative attitudes towards wine in cans might exert a negative effect on the evaluation of people who consume canned wine. To evaluate this hypothesis, the consumption of wine in cans was evoked in four different contexts of use during outdoor leisure activity (beach resort, ski resort, desert safari, and party). In order to examine the effect of culture on subject’s response we use participants from Switzerland, a country where three different cultures, associated with three different languages, cohabit.

Applicability of spectrofluorometry and voltammetry in combination with machine learning approaches for authentication of DOCa Rioja Tempranillo wines

The main objective of the work was to develop a simple, robust and selective analytical tool that allows predicting the authenticity of Tempranillo wines from DOCa Rioja. The techniques of voltammetry and absorbance-transmission and fluorescence excitation emission matrix (A-TEEM) spectroscopy have been applied in combination with machine learning (ML) algorithms to classify red wines from DOCa Rioja according to region (Alavesa, Alta or Oriental) and category (young, crianza or reserva).