Cargando…
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...
Autores principales: | , , , , , |
---|---|
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 |
_version_ | 1782371319550050304 |
---|---|
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. |
format | Online Article Text |
id | pubmed-4431300 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT aleixandremanuel awirelessandportableelectronicnosetodifferentiatemustsofdifferentripenessdegreeandgrapevarieties AT santosjosepedro awirelessandportableelectronicnosetodifferentiatemustsofdifferentripenessdegreeandgrapevarieties AT sayagoisabel awirelessandportableelectronicnosetodifferentiatemustsofdifferentripenessdegreeandgrapevarieties AT cabellosjuanmariano awirelessandportableelectronicnosetodifferentiatemustsofdifferentripenessdegreeandgrapevarieties AT arroyoteresa awirelessandportableelectronicnosetodifferentiatemustsofdifferentripenessdegreeandgrapevarieties AT horrillomariacarmen awirelessandportableelectronicnosetodifferentiatemustsofdifferentripenessdegreeandgrapevarieties AT aleixandremanuel wirelessandportableelectronicnosetodifferentiatemustsofdifferentripenessdegreeandgrapevarieties AT santosjosepedro wirelessandportableelectronicnosetodifferentiatemustsofdifferentripenessdegreeandgrapevarieties AT sayagoisabel wirelessandportableelectronicnosetodifferentiatemustsofdifferentripenessdegreeandgrapevarieties AT cabellosjuanmariano wirelessandportableelectronicnosetodifferentiatemustsofdifferentripenessdegreeandgrapevarieties AT arroyoteresa wirelessandportableelectronicnosetodifferentiatemustsofdifferentripenessdegreeandgrapevarieties AT horrillomariacarmen wirelessandportableelectronicnosetodifferentiatemustsofdifferentripenessdegreeandgrapevarieties |