Relating sensory analysis with SPME-GC-MS data for Spanish-style green table olive aroma profiling

46 Páginas; 5 Tablas; 3 Figuras; Material suplementario: 2 tablas y 5 figuras

Detalhes bibliográficos
Autores: López-López, Antonio, Sánchez Gómez, Antonio Higinio, Cortés Delgado, Amparo, Castro Gómez-Millán, Antonio de, Montaño, Alfredo
Formato: artículo
Estado:Versión aceptada para publicación
Fecha de publicación:2018
País:España
Recursos:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/174881
Acesso em linha:http://hdl.handle.net/10261/174881
Access Level:acceso abierto
Palavra-chave:Green table olives
Aroma
Sensory profile
SPME-GC-MS
Chemometrics
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spelling Relating sensory analysis with SPME-GC-MS data for Spanish-style green table olive aroma profilingLópez-López, AntonioSánchez Gómez, Antonio HiginioCortés Delgado, AmparoCastro Gómez-Millán, Antonio deMontaño, AlfredoGreen table olivesAromaSensory profileSPME-GC-MSChemometrics46 Páginas; 5 Tablas; 3 Figuras; Material suplementario: 2 tablas y 5 figurasThe sensory profile and volatile composition of 24 samples of Spanish-style green table olives were studied by Quantitative Descriptive Analysis and solid phase micro-extraction gas chromatography coupled to mass spectrometry (SPME-GC-MS), respectively, with the aim to characterize this type of table olive. The aroma of samples was described by the sensory panel using nine descriptors (lactic, green fruit, ripe fruit, grass, hay, musty, lupin, wine, and alcohol). A total of 133 volatile compounds were identified in the headspace of samples. Principal component analysis (PCA) applied to both datasets showed a poor separation of samples according to cultivars, but a trend to separate according to sampling time. Reliable partial least squares (PLS) regression models were developed for four sensory descriptors (lactic, lupin, wine, and alcohol) and allowed identifying the compounds both positively and negatively correlated to such odor sensations. Such models could be used to predict the intensity of the above-mentioned descriptors as a function of SPME-GC-MS data.This work was supported in part by the Ministry of Economy and Competitiveness from the Spanish government through Project AGL2014-54048-R, partially financed by the European Regional Development Fund (ERDF).Peer reviewedElsevierMinisterio de Economía y Competitividad (España)European CommissionConsejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]201920192018info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Postprintinfo:eu-repo/semantics/acceptedVersionhttp://hdl.handle.net/10261/174881reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE#info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/AGL2014-54048-Rhttp://dx.doi.org/10.1016/j.lwt.2017.11.058Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/1748812026-05-22T06:33:51Z
dc.title.none.fl_str_mv Relating sensory analysis with SPME-GC-MS data for Spanish-style green table olive aroma profiling
title Relating sensory analysis with SPME-GC-MS data for Spanish-style green table olive aroma profiling
spellingShingle Relating sensory analysis with SPME-GC-MS data for Spanish-style green table olive aroma profiling
López-López, Antonio
Green table olives
Aroma
Sensory profile
SPME-GC-MS
Chemometrics
title_short Relating sensory analysis with SPME-GC-MS data for Spanish-style green table olive aroma profiling
title_full Relating sensory analysis with SPME-GC-MS data for Spanish-style green table olive aroma profiling
title_fullStr Relating sensory analysis with SPME-GC-MS data for Spanish-style green table olive aroma profiling
title_full_unstemmed Relating sensory analysis with SPME-GC-MS data for Spanish-style green table olive aroma profiling
title_sort Relating sensory analysis with SPME-GC-MS data for Spanish-style green table olive aroma profiling
dc.creator.none.fl_str_mv López-López, Antonio
Sánchez Gómez, Antonio Higinio
Cortés Delgado, Amparo
Castro Gómez-Millán, Antonio de
Montaño, Alfredo
author López-López, Antonio
author_facet López-López, Antonio
Sánchez Gómez, Antonio Higinio
Cortés Delgado, Amparo
Castro Gómez-Millán, Antonio de
Montaño, Alfredo
author_role author
author2 Sánchez Gómez, Antonio Higinio
Cortés Delgado, Amparo
Castro Gómez-Millán, Antonio de
Montaño, Alfredo
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Ministerio de Economía y Competitividad (España)
European Commission
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Green table olives
Aroma
Sensory profile
SPME-GC-MS
Chemometrics
topic Green table olives
Aroma
Sensory profile
SPME-GC-MS
Chemometrics
description 46 Páginas; 5 Tablas; 3 Figuras; Material suplementario: 2 tablas y 5 figuras
publishDate 2018
dc.date.none.fl_str_mv 2018
2019
2019
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/10261/174881
url http://hdl.handle.net/10261/174881
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv #PLACEHOLDER_PARENT_METADATA_VALUE#
info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/AGL2014-54048-R
http://dx.doi.org/10.1016/j.lwt.2017.11.058
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
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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score 15,811543

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