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Oral Wine Texture Perception and Its Correlation with Instrumental Texture Features of Wine-Saliva Mixtures

Unlike solid food, texture descriptors in liquid food are scarce, and they are frequently reduced to the term viscosity. However, in wines, apart from viscosity, terms, such as astringency, body, unctuosity and density, help describe their texture, relating the complexity and balance among their che...

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Autores principales: Laguna, Laura, Álvarez, María Dolores, Simone, Elena, Moreno-Arribas, Maria Victoria, Bartolomé, Begoña
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6617004/
https://www.ncbi.nlm.nih.gov/pubmed/31159443
http://dx.doi.org/10.3390/foods8060190
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author Laguna, Laura
Álvarez, María Dolores
Simone, Elena
Moreno-Arribas, Maria Victoria
Bartolomé, Begoña
author_facet Laguna, Laura
Álvarez, María Dolores
Simone, Elena
Moreno-Arribas, Maria Victoria
Bartolomé, Begoña
author_sort Laguna, Laura
collection PubMed
description Unlike solid food, texture descriptors in liquid food are scarce, and they are frequently reduced to the term viscosity. However, in wines, apart from viscosity, terms, such as astringency, body, unctuosity and density, help describe their texture, relating the complexity and balance among their chemical components. Yet there is uncertainty about which wine components (and their combinations) cause each texture sensation and if their instrumental assessment is possible. Therefore, the aim of the present work was to study the effect of wine texture on its main components, when interacting with saliva. This was completed by using instrumental measurements of density and viscosity, and by using two types of panels (trained and expert). For that, six different model-wine formulations were prepared by adding one or multiple wine components: ethanol, mannoproteins, glycerol, and tannins to a de-alcoholised wine. All formulations were mixed with fresh human saliva (1:1), and their density and rheological properties were measured. Although there were no statistical differences, body perception was higher for samples with glycerol and/or mannoproteins, this was also correlated with density instrumental measurements (R = 0.971, p = 0.029). The viscosity of samples with tannins was the highest due to the formation of complexes between the model-wine and salivary proteins. This also provided astringency, therefore correlating viscosity and astringency feelings (R = 0.855, p = 0.030). No correlation was found between viscosity and body perception because of the overlapping of the phenolic components. Overall, the present results reveal saliva as a key factor when studying the wine texture through instrumental measurements (density and viscosity).
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spelling pubmed-66170042019-07-18 Oral Wine Texture Perception and Its Correlation with Instrumental Texture Features of Wine-Saliva Mixtures Laguna, Laura Álvarez, María Dolores Simone, Elena Moreno-Arribas, Maria Victoria Bartolomé, Begoña Foods Article Unlike solid food, texture descriptors in liquid food are scarce, and they are frequently reduced to the term viscosity. However, in wines, apart from viscosity, terms, such as astringency, body, unctuosity and density, help describe their texture, relating the complexity and balance among their chemical components. Yet there is uncertainty about which wine components (and their combinations) cause each texture sensation and if their instrumental assessment is possible. Therefore, the aim of the present work was to study the effect of wine texture on its main components, when interacting with saliva. This was completed by using instrumental measurements of density and viscosity, and by using two types of panels (trained and expert). For that, six different model-wine formulations were prepared by adding one or multiple wine components: ethanol, mannoproteins, glycerol, and tannins to a de-alcoholised wine. All formulations were mixed with fresh human saliva (1:1), and their density and rheological properties were measured. Although there were no statistical differences, body perception was higher for samples with glycerol and/or mannoproteins, this was also correlated with density instrumental measurements (R = 0.971, p = 0.029). The viscosity of samples with tannins was the highest due to the formation of complexes between the model-wine and salivary proteins. This also provided astringency, therefore correlating viscosity and astringency feelings (R = 0.855, p = 0.030). No correlation was found between viscosity and body perception because of the overlapping of the phenolic components. Overall, the present results reveal saliva as a key factor when studying the wine texture through instrumental measurements (density and viscosity). MDPI 2019-06-01 /pmc/articles/PMC6617004/ /pubmed/31159443 http://dx.doi.org/10.3390/foods8060190 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Laguna, Laura
Álvarez, María Dolores
Simone, Elena
Moreno-Arribas, Maria Victoria
Bartolomé, Begoña
Oral Wine Texture Perception and Its Correlation with Instrumental Texture Features of Wine-Saliva Mixtures
title Oral Wine Texture Perception and Its Correlation with Instrumental Texture Features of Wine-Saliva Mixtures
title_full Oral Wine Texture Perception and Its Correlation with Instrumental Texture Features of Wine-Saliva Mixtures
title_fullStr Oral Wine Texture Perception and Its Correlation with Instrumental Texture Features of Wine-Saliva Mixtures
title_full_unstemmed Oral Wine Texture Perception and Its Correlation with Instrumental Texture Features of Wine-Saliva Mixtures
title_short Oral Wine Texture Perception and Its Correlation with Instrumental Texture Features of Wine-Saliva Mixtures
title_sort oral wine texture perception and its correlation with instrumental texture features of wine-saliva mixtures
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6617004/
https://www.ncbi.nlm.nih.gov/pubmed/31159443
http://dx.doi.org/10.3390/foods8060190
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