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Exploring Olfactory–Oral Cross-Modal Interactions through Sensory and Chemical Characteristics of Italian Red Wines

This work aimed at investigating red wine olfactory–oral cross-modal interactions, and at testing their impact on the correlations between sensory and chemical variables. Seventy-four Italian red whole wines (WWs) from 10 varieties, and corresponding deodorized wines (DWs), were evaluated by sensory...

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Autores principales: Pittari, Elisabetta, Moio, Luigi, Arapitsas, Panagiotis, Curioni, Andrea, Gerbi, Vincenzo, Parpinello, Giuseppina Paola, Ugliano, Maurizio, Piombino, Paola
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7692166/
https://www.ncbi.nlm.nih.gov/pubmed/33114385
http://dx.doi.org/10.3390/foods9111530
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author Pittari, Elisabetta
Moio, Luigi
Arapitsas, Panagiotis
Curioni, Andrea
Gerbi, Vincenzo
Parpinello, Giuseppina Paola
Ugliano, Maurizio
Piombino, Paola
author_facet Pittari, Elisabetta
Moio, Luigi
Arapitsas, Panagiotis
Curioni, Andrea
Gerbi, Vincenzo
Parpinello, Giuseppina Paola
Ugliano, Maurizio
Piombino, Paola
author_sort Pittari, Elisabetta
collection PubMed
description This work aimed at investigating red wine olfactory–oral cross-modal interactions, and at testing their impact on the correlations between sensory and chemical variables. Seventy-four Italian red whole wines (WWs) from 10 varieties, and corresponding deodorized wines (DWs), were evaluated by sensory descriptive assessment. Total phenols, proanthocyanidins, ethanol, reducing sugars, pH, titratable and volatile acidity were determined. PCA results highlighted different sensory features of the 10 wine types. ANOVAs (p < 0.05) showed that olfactory cues might play modulation effects on the perception of in-mouth sensations with 7 (harsh, unripe, dynamic, complex, surface smoothness, sweet, and bitter) out of 10 oral descriptors significantly affected by odours. Three weak but significant positive correlations (Pearson, p < 0.0001) were statistically found and supported in a cognitive dimension: spicy and complex; dehydrated fruits and drying; vegetal and unripe. In the absence of volatiles, correlation coefficients between sensory and chemical parameters mostly increased. Proanthocyanidins correlated well with drying and dynamic astringency, showing highest coefficients (r > 0.7) in absence of olfactory–oral interactions. Unripe astringency did not correlate with polyphenols supporting the idea that this sub-quality is a multisensory feeling greatly impacted by odorants. Results support the significance of cross-modal interactions during red wine tasting, confirming previous findings and adding new insights on astringency sub-qualities and their predictive parameters.
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spelling pubmed-76921662020-11-28 Exploring Olfactory–Oral Cross-Modal Interactions through Sensory and Chemical Characteristics of Italian Red Wines Pittari, Elisabetta Moio, Luigi Arapitsas, Panagiotis Curioni, Andrea Gerbi, Vincenzo Parpinello, Giuseppina Paola Ugliano, Maurizio Piombino, Paola Foods Article This work aimed at investigating red wine olfactory–oral cross-modal interactions, and at testing their impact on the correlations between sensory and chemical variables. Seventy-four Italian red whole wines (WWs) from 10 varieties, and corresponding deodorized wines (DWs), were evaluated by sensory descriptive assessment. Total phenols, proanthocyanidins, ethanol, reducing sugars, pH, titratable and volatile acidity were determined. PCA results highlighted different sensory features of the 10 wine types. ANOVAs (p < 0.05) showed that olfactory cues might play modulation effects on the perception of in-mouth sensations with 7 (harsh, unripe, dynamic, complex, surface smoothness, sweet, and bitter) out of 10 oral descriptors significantly affected by odours. Three weak but significant positive correlations (Pearson, p < 0.0001) were statistically found and supported in a cognitive dimension: spicy and complex; dehydrated fruits and drying; vegetal and unripe. In the absence of volatiles, correlation coefficients between sensory and chemical parameters mostly increased. Proanthocyanidins correlated well with drying and dynamic astringency, showing highest coefficients (r > 0.7) in absence of olfactory–oral interactions. Unripe astringency did not correlate with polyphenols supporting the idea that this sub-quality is a multisensory feeling greatly impacted by odorants. Results support the significance of cross-modal interactions during red wine tasting, confirming previous findings and adding new insights on astringency sub-qualities and their predictive parameters. MDPI 2020-10-24 /pmc/articles/PMC7692166/ /pubmed/33114385 http://dx.doi.org/10.3390/foods9111530 Text en © 2020 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
Pittari, Elisabetta
Moio, Luigi
Arapitsas, Panagiotis
Curioni, Andrea
Gerbi, Vincenzo
Parpinello, Giuseppina Paola
Ugliano, Maurizio
Piombino, Paola
Exploring Olfactory–Oral Cross-Modal Interactions through Sensory and Chemical Characteristics of Italian Red Wines
title Exploring Olfactory–Oral Cross-Modal Interactions through Sensory and Chemical Characteristics of Italian Red Wines
title_full Exploring Olfactory–Oral Cross-Modal Interactions through Sensory and Chemical Characteristics of Italian Red Wines
title_fullStr Exploring Olfactory–Oral Cross-Modal Interactions through Sensory and Chemical Characteristics of Italian Red Wines
title_full_unstemmed Exploring Olfactory–Oral Cross-Modal Interactions through Sensory and Chemical Characteristics of Italian Red Wines
title_short Exploring Olfactory–Oral Cross-Modal Interactions through Sensory and Chemical Characteristics of Italian Red Wines
title_sort exploring olfactory–oral cross-modal interactions through sensory and chemical characteristics of italian red wines
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7692166/
https://www.ncbi.nlm.nih.gov/pubmed/33114385
http://dx.doi.org/10.3390/foods9111530
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