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A Wireless and Portable Electronic Nose to Differentiate Musts of Different Ripeness Degree and Grape Varieties

Two novel applications using a portable and wireless sensor system (e-nose) for the wine producing industry—The recognition and classification of musts coming from different grape ripening times and from different grape varieties—Are reported in this paper. These applications are very interesting be...

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Detalles Bibliográficos
Autores principales: Aleixandre, Manuel, Santos, Jose Pedro, Sayago, Isabel, Cabellos, Juan Mariano, Arroyo, Teresa, Horrillo, Maria Carmen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4431300/
https://www.ncbi.nlm.nih.gov/pubmed/25871715
http://dx.doi.org/10.3390/s150408429
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author Aleixandre, Manuel
Santos, Jose Pedro
Sayago, Isabel
Cabellos, Juan Mariano
Arroyo, Teresa
Horrillo, Maria Carmen
author_facet Aleixandre, Manuel
Santos, Jose Pedro
Sayago, Isabel
Cabellos, Juan Mariano
Arroyo, Teresa
Horrillo, Maria Carmen
author_sort Aleixandre, Manuel
collection PubMed
description Two novel applications using a portable and wireless sensor system (e-nose) for the wine producing industry—The recognition and classification of musts coming from different grape ripening times and from different grape varieties—Are reported in this paper. These applications are very interesting because a lot of varieties of grapes produce musts with low and similar aromatic intensities so they are very difficult to distinguish using a sensory panel. Therefore the system could be used to monitor the ripening evolution of the different types of grapes and to assess some useful characteristics, such as the identification of the grape variety origin and to prediction of the wine quality. Ripening grade of collected samples have been also evaluated by classical analytical techniques, measuring physicochemical parameters, such as, pH, Brix, Total Acidity (TA) and Probable Grade Alcoholic (PGA). The measurements were carried out for two different harvests, using different red (Barbera, Petit Verdot, Tempranillo, and Touriga) and white (Malvar, Malvasía, Chenin Blanc, and Sauvignon Blanc) grape musts coming from the experimental cellar of the IMIDRA at Madrid. Principal Component Analysis (PCA) and Probabilistic Neural Networks (PNN) have been used to analyse the obtained data by e-nose. In addition, and the Canonical Correlation Analysis (CCA) method has been carried out to correlate the results obtained by both technologies.
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spelling pubmed-44313002015-05-19 A Wireless and Portable Electronic Nose to Differentiate Musts of Different Ripeness Degree and Grape Varieties Aleixandre, Manuel Santos, Jose Pedro Sayago, Isabel Cabellos, Juan Mariano Arroyo, Teresa Horrillo, Maria Carmen Sensors (Basel) Article Two novel applications using a portable and wireless sensor system (e-nose) for the wine producing industry—The recognition and classification of musts coming from different grape ripening times and from different grape varieties—Are reported in this paper. These applications are very interesting because a lot of varieties of grapes produce musts with low and similar aromatic intensities so they are very difficult to distinguish using a sensory panel. Therefore the system could be used to monitor the ripening evolution of the different types of grapes and to assess some useful characteristics, such as the identification of the grape variety origin and to prediction of the wine quality. Ripening grade of collected samples have been also evaluated by classical analytical techniques, measuring physicochemical parameters, such as, pH, Brix, Total Acidity (TA) and Probable Grade Alcoholic (PGA). The measurements were carried out for two different harvests, using different red (Barbera, Petit Verdot, Tempranillo, and Touriga) and white (Malvar, Malvasía, Chenin Blanc, and Sauvignon Blanc) grape musts coming from the experimental cellar of the IMIDRA at Madrid. Principal Component Analysis (PCA) and Probabilistic Neural Networks (PNN) have been used to analyse the obtained data by e-nose. In addition, and the Canonical Correlation Analysis (CCA) method has been carried out to correlate the results obtained by both technologies. MDPI 2015-04-13 /pmc/articles/PMC4431300/ /pubmed/25871715 http://dx.doi.org/10.3390/s150408429 Text en © 2015 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 license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Aleixandre, Manuel
Santos, Jose Pedro
Sayago, Isabel
Cabellos, Juan Mariano
Arroyo, Teresa
Horrillo, Maria Carmen
A Wireless and Portable Electronic Nose to Differentiate Musts of Different Ripeness Degree and Grape Varieties
title A Wireless and Portable Electronic Nose to Differentiate Musts of Different Ripeness Degree and Grape Varieties
title_full A Wireless and Portable Electronic Nose to Differentiate Musts of Different Ripeness Degree and Grape Varieties
title_fullStr A Wireless and Portable Electronic Nose to Differentiate Musts of Different Ripeness Degree and Grape Varieties
title_full_unstemmed A Wireless and Portable Electronic Nose to Differentiate Musts of Different Ripeness Degree and Grape Varieties
title_short A Wireless and Portable Electronic Nose to Differentiate Musts of Different Ripeness Degree and Grape Varieties
title_sort wireless and portable electronic nose to differentiate musts of different ripeness degree and grape varieties
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4431300/
https://www.ncbi.nlm.nih.gov/pubmed/25871715
http://dx.doi.org/10.3390/s150408429
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