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Describing the Sensory Complexity of Italian Wines: Application of the Rate-All-That-Apply (RATA) Method
The aim of this study was to characterise a large and heterogeneous Italian wine sample applying the Rate-All-That-Apply method (RATA) with semi-trained judges. Twelve judges evaluated 46 samples including white, red, rosé and sparkling wines in two replicates. Judges were asked to select from a lis...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9407563/ https://www.ncbi.nlm.nih.gov/pubmed/36010416 http://dx.doi.org/10.3390/foods11162417 |
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author | Rabitti, Noemi Sofia Cattaneo, Camilla Appiani, Marta Proserpio, Cristina Laureati, Monica |
author_facet | Rabitti, Noemi Sofia Cattaneo, Camilla Appiani, Marta Proserpio, Cristina Laureati, Monica |
author_sort | Rabitti, Noemi Sofia |
collection | PubMed |
description | The aim of this study was to characterise a large and heterogeneous Italian wine sample applying the Rate-All-That-Apply method (RATA) with semi-trained judges. Twelve judges evaluated 46 samples including white, red, rosé and sparkling wines in two replicates. Judges were asked to select from a list of descriptors all the sensations that described the samples and to evaluate their intensity. Judges obtained high repeatability index scores. A good panel reliability was also highlighted in terms of the reproducibility of the whole sensory characterisation through a multi-factor analysis (MFA). MFA results also showed a good discriminatory ability of the panel with red wines described by bitterness, astringency, body, alcohol and specific olfactory stimuli such as red fruits, spicy and roasted, while white wines were salty, sour and characterised by citrus, tropical fruits and white flowers odours. The RATA method is a suitable and reliable methodology for the description of a wide variety of wine samples and a valuable alternative approach to conventional descriptive analysis to gather information about the sensory perception of a very complex product even when large panels of consumers are not available. Furthermore, the present results provide useful information for wine producers to characterise their products as well as for the optimisation of production disciplinaries, which currently are not exhaustive in the description and the discrimination among products. |
format | Online Article Text |
id | pubmed-9407563 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-94075632022-08-26 Describing the Sensory Complexity of Italian Wines: Application of the Rate-All-That-Apply (RATA) Method Rabitti, Noemi Sofia Cattaneo, Camilla Appiani, Marta Proserpio, Cristina Laureati, Monica Foods Article The aim of this study was to characterise a large and heterogeneous Italian wine sample applying the Rate-All-That-Apply method (RATA) with semi-trained judges. Twelve judges evaluated 46 samples including white, red, rosé and sparkling wines in two replicates. Judges were asked to select from a list of descriptors all the sensations that described the samples and to evaluate their intensity. Judges obtained high repeatability index scores. A good panel reliability was also highlighted in terms of the reproducibility of the whole sensory characterisation through a multi-factor analysis (MFA). MFA results also showed a good discriminatory ability of the panel with red wines described by bitterness, astringency, body, alcohol and specific olfactory stimuli such as red fruits, spicy and roasted, while white wines were salty, sour and characterised by citrus, tropical fruits and white flowers odours. The RATA method is a suitable and reliable methodology for the description of a wide variety of wine samples and a valuable alternative approach to conventional descriptive analysis to gather information about the sensory perception of a very complex product even when large panels of consumers are not available. Furthermore, the present results provide useful information for wine producers to characterise their products as well as for the optimisation of production disciplinaries, which currently are not exhaustive in the description and the discrimination among products. MDPI 2022-08-11 /pmc/articles/PMC9407563/ /pubmed/36010416 http://dx.doi.org/10.3390/foods11162417 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Rabitti, Noemi Sofia Cattaneo, Camilla Appiani, Marta Proserpio, Cristina Laureati, Monica Describing the Sensory Complexity of Italian Wines: Application of the Rate-All-That-Apply (RATA) Method |
title | Describing the Sensory Complexity of Italian Wines: Application of the Rate-All-That-Apply (RATA) Method |
title_full | Describing the Sensory Complexity of Italian Wines: Application of the Rate-All-That-Apply (RATA) Method |
title_fullStr | Describing the Sensory Complexity of Italian Wines: Application of the Rate-All-That-Apply (RATA) Method |
title_full_unstemmed | Describing the Sensory Complexity of Italian Wines: Application of the Rate-All-That-Apply (RATA) Method |
title_short | Describing the Sensory Complexity of Italian Wines: Application of the Rate-All-That-Apply (RATA) Method |
title_sort | describing the sensory complexity of italian wines: application of the rate-all-that-apply (rata) method |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9407563/ https://www.ncbi.nlm.nih.gov/pubmed/36010416 http://dx.doi.org/10.3390/foods11162417 |
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