Literature DB >> 28433298

How do consumers describe wine astringency?

Leticia Vidal1, Ana Giménez2, Karina Medina2, Eduardo Boido2, Gastón Ares2.   

Abstract

Astringency is one of the most important sensory characteristics of red wine. Although a hierarchically structured vocabulary to describe the mouthfeel sensations of red wine has been proposed, research on consumers' astringency vocabulary is lacking. In this context, the aim of this work was to gain an insight on the vocabulary used by wine consumers to describe the astringency of red wine and to evaluate the influence of wine involvement on consumers' vocabulary. One hundred and twenty-five wine consumers completed and on-line survey with five tasks: an open-ended question about the definition of wine astringency, free listing the sensations perceived when drinking an astringent wine, free listing the words they would use to describe the astringency of a red wine, a CATA question with 44 terms used in the literature to describe astringency, and a wine involvement questionnaire. When thinking about wine astringency consumers freely elicited terms included in the Mouth-feel Wheel, such as dryness and harsh. The majority of the specific sub-qualities of the Mouth-feel Wheel were not included in consumer responses. Also, terms not classified as astringency descriptors were elicited (e.g. acid and bitter). Only 17 out of the 31 terms from the Mouth-feel Wheel were used by more than 10% of participants when answering the CATA question. There were no large differences in the responses of consumer segments with different wine involvement. Results from the present work suggest that most of the terms of the Mouth-feel Wheel might not be adequate to communicate the astringency characteristics of red wine to consumers.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Astringency; Check-all-that-apply; Free listing; Involvement; Wine

Year:  2015        PMID: 28433298     DOI: 10.1016/j.foodres.2015.09.025

Source DB:  PubMed          Journal:  Food Res Int        ISSN: 0963-9969            Impact factor:   6.475


  2 in total

1.  Effect of Product Involvement on Panels' Vocabulary Generation, Attribute Identification, and Sample Configurations in Beer.

Authors:  Line Elgaard; Line A Mielby; Hildegarde Heymann; Derek V Byrne
Journal:  Foods       Date:  2019-10-12

Review 2.  Roughness perception: A multisensory/crossmodal perspective.

Authors:  Nicola Di Stefano; Charles Spence
Journal:  Atten Percept Psychophys       Date:  2022-08-26       Impact factor: 2.157

  2 in total

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