Assessing wine sensory attributes using Vis/NIR

25 Páginas, 8 Figuras, 6 Tablas

Detalles Bibliográficos
Autores: Cayuela, José Antonio, Puertas, Belén, Cantos-Villar, Emma
Tipo de recurso: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2017
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/167396
Acceso en línea:http://hdl.handle.net/10261/167396
Access Level:acceso abierto
Palabra clave:Attributes
Sensory analysis
Tasting panel
Vis/NIR
Wine
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spelling Assessing wine sensory attributes using Vis/NIRCayuela, José AntonioPuertas, BelénCantos-Villar, EmmaAttributesSensory analysisTasting panelVis/NIRWine25 Páginas, 8 Figuras, 6 TablasThe quality of wine involves the presence and intensity of many flavors and nuances. The assessment by tasting panels of the sensory quality of wine and by measuring the intensity of their attributes or defects is more difficult than assessing the global score of wine quality, which is a single value for each wine. This research focused on the feasibility of the visible and near-infrared spectroscopy for assessing wine sensory attributes. Predictive models of sensory attributes such as positive and negative for red and white wines have been developed, based on their spectra and reference values from a specialized tasting panel. The results indicate that the technique is feasible for predicting some of the most characteristic sensory attributes of red and white wines such as Flavor intensity, Astringency, Color intensity, Length, Persistency, Pleasantness and Balance. Their correlation coefficients of validations were about 0.9 in most cases. The technique was also suitable for predicting some important defects such as Oxidation, Unclean, Ethyl acetate and Acetic acid. The main potential use of this technique is for contrasting or confirming the assessment of wine for the positive and negative sensory attributes, determined by the sensory analysis of tasting panels. This can be particularly useful in cases where there is discrepancy in the assessments of a sensory panel. It is reasonable to consider the possibility of tuning the technique for detection in routine analysis of some negative attributes.Peer reviewedSpringer NatureConsejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]201820182017info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Postprintinfo:eu-repo/semantics/acceptedVersionhttp://hdl.handle.net/10261/167396reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Ingléshttp://dx.doi.org/10.1007/s00217-016-2807-9Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/1673962026-05-22T06:33:51Z
dc.title.none.fl_str_mv Assessing wine sensory attributes using Vis/NIR
title Assessing wine sensory attributes using Vis/NIR
spellingShingle Assessing wine sensory attributes using Vis/NIR
Cayuela, José Antonio
Attributes
Sensory analysis
Tasting panel
Vis/NIR
Wine
title_short Assessing wine sensory attributes using Vis/NIR
title_full Assessing wine sensory attributes using Vis/NIR
title_fullStr Assessing wine sensory attributes using Vis/NIR
title_full_unstemmed Assessing wine sensory attributes using Vis/NIR
title_sort Assessing wine sensory attributes using Vis/NIR
dc.creator.none.fl_str_mv Cayuela, José Antonio
Puertas, Belén
Cantos-Villar, Emma
author Cayuela, José Antonio
author_facet Cayuela, José Antonio
Puertas, Belén
Cantos-Villar, Emma
author_role author
author2 Puertas, Belén
Cantos-Villar, Emma
author2_role author
author
dc.contributor.none.fl_str_mv Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Attributes
Sensory analysis
Tasting panel
Vis/NIR
Wine
topic Attributes
Sensory analysis
Tasting panel
Vis/NIR
Wine
description 25 Páginas, 8 Figuras, 6 Tablas
publishDate 2017
dc.date.none.fl_str_mv 2017
2018
2018
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Postprint
info:eu-repo/semantics/acceptedVersion
format article
status_str acceptedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/167396
url http://hdl.handle.net/10261/167396
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv http://dx.doi.org/10.1007/s00217-016-2807-9
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Springer Nature
publisher.none.fl_str_mv Springer Nature
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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