Geographical authentication of virgin olive oil by GC–MS sesquiterpene hydrocarbon fingerprint: Verifying EU and single country label-declaration

Autores
Quintanilla Casas, Beatriz; Torres Cobos, Berta; Guardiola, Francesc; Servili, Maurizio; Alonso Salces, Rosa Maria; Valli, Enrico; Bendini, Alessandra; Gallina Toschi, Tullia; Vichi, Stefania; Tres, Alba
Año de publicación
2022
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
According to the last report from the European Union (EU) Food Fraud Network, olive oil tops the list of the most notified products. Current EU regulation states geographical origin as mandatory for virgin olive oils, even though an official analytical method is still lacking. Verifying the compliance of label-declared EU oils should be addressed with the highest priority level. Hence, the present work tackles this issue by developing a classification model (PLS-DA) based on the sesquiterpene hydrocarbon fingerprint of 400 samples obtained by HS-SPME-GC–MS to discriminate between EU and non-EU olive oils, obtaining an 89.6% of correct classification for the external validation (three iterations), with a sensitivity of 0.81 and a specificity of 0.95. Subsequently, multi-class discrimination models for EU and non-EU countries were developed and externally validated (with three different validation sets) with successful results (average of 92.2% of correct classification for EU and 96.0% for non-EU countries).
Fil: Quintanilla Casas, Beatriz. Universidad de Barcelona; España
Fil: Torres Cobos, Berta. Universidad de Barcelona; España
Fil: Guardiola, Francesc. Universidad de Barcelona; España
Fil: Servili, Maurizio. Università di Perugia; Italia
Fil: Alonso Salces, Rosa Maria. Universidad Nacional de Mar del Plata. Instituto de Investigaciones en Producción, Sanidad y Ambiente - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Investigaciones en Producción, Sanidad y Ambiente; Argentina
Fil: Valli, Enrico. Università di Bologna; Italia
Fil: Bendini, Alessandra. Università di Bologna; Italia
Fil: Gallina Toschi, Tullia. Università di Bologna; Italia
Fil: Vichi, Stefania. Universidad de Barcelona; España
Fil: Tres, Alba. Universidad de Barcelona; España
Materia
AUTHENTICITY
FINGERPRINT
GEOGRAPHICAL ORIGIN
PLS-DA
SESQUITERPENE HYDROCARBONS
SPME-GC–MS
VIRGIN OLIVE OIL
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/170113
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/170113
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Geographical authentication of virgin olive oil by GC–MS sesquiterpene hydrocarbon fingerprint: Verifying EU and single country label-declarationQuintanilla Casas, BeatrizTorres Cobos, BertaGuardiola, FrancescServili, MaurizioAlonso Salces, Rosa MariaValli, EnricoBendini, AlessandraGallina Toschi, TulliaVichi, StefaniaTres, AlbaAUTHENTICITYFINGERPRINTGEOGRAPHICAL ORIGINPLS-DASESQUITERPENE HYDROCARBONSSPME-GC–MSVIRGIN OLIVE OILhttps://purl.org/becyt/ford/1.4https://purl.org/becyt/ford/1According to the last report from the European Union (EU) Food Fraud Network, olive oil tops the list of the most notified products. Current EU regulation states geographical origin as mandatory for virgin olive oils, even though an official analytical method is still lacking. Verifying the compliance of label-declared EU oils should be addressed with the highest priority level. Hence, the present work tackles this issue by developing a classification model (PLS-DA) based on the sesquiterpene hydrocarbon fingerprint of 400 samples obtained by HS-SPME-GC–MS to discriminate between EU and non-EU olive oils, obtaining an 89.6% of correct classification for the external validation (three iterations), with a sensitivity of 0.81 and a specificity of 0.95. Subsequently, multi-class discrimination models for EU and non-EU countries were developed and externally validated (with three different validation sets) with successful results (average of 92.2% of correct classification for EU and 96.0% for non-EU countries).Fil: Quintanilla Casas, Beatriz. Universidad de Barcelona; EspañaFil: Torres Cobos, Berta. Universidad de Barcelona; EspañaFil: Guardiola, Francesc. Universidad de Barcelona; EspañaFil: Servili, Maurizio. Università di Perugia; ItaliaFil: Alonso Salces, Rosa Maria. Universidad Nacional de Mar del Plata. Instituto de Investigaciones en Producción, Sanidad y Ambiente - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Investigaciones en Producción, Sanidad y Ambiente; ArgentinaFil: Valli, Enrico. Università di Bologna; ItaliaFil: Bendini, Alessandra. Università di Bologna; ItaliaFil: Gallina Toschi, Tullia. Università di Bologna; ItaliaFil: Vichi, Stefania. Universidad de Barcelona; EspañaFil: Tres, Alba. Universidad de Barcelona; EspañaElsevier2022-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/170113Quintanilla Casas, Beatriz; Torres Cobos, Berta; Guardiola, Francesc; Servili, Maurizio; Alonso Salces, Rosa Maria; et al.; Geographical authentication of virgin olive oil by GC–MS sesquiterpene hydrocarbon fingerprint: Verifying EU and single country label-declaration; Elsevier; Food Chemistry; 378; 6-2022; 1-80308-8146CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://linkinghub.elsevier.com/retrieve/pii/S0308814622000656info:eu-repo/semantics/altIdentifier/doi/10.1016/j.foodchem.2022.132104info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:40:52Zoai:ri.conicet.gov.ar:11336/170113instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:40:52.825CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Geographical authentication of virgin olive oil by GC–MS sesquiterpene hydrocarbon fingerprint: Verifying EU and single country label-declaration
title Geographical authentication of virgin olive oil by GC–MS sesquiterpene hydrocarbon fingerprint: Verifying EU and single country label-declaration
spellingShingle Geographical authentication of virgin olive oil by GC–MS sesquiterpene hydrocarbon fingerprint: Verifying EU and single country label-declaration
Quintanilla Casas, Beatriz
AUTHENTICITY
FINGERPRINT
GEOGRAPHICAL ORIGIN
PLS-DA
SESQUITERPENE HYDROCARBONS
SPME-GC–MS
VIRGIN OLIVE OIL
title_short Geographical authentication of virgin olive oil by GC–MS sesquiterpene hydrocarbon fingerprint: Verifying EU and single country label-declaration
title_full Geographical authentication of virgin olive oil by GC–MS sesquiterpene hydrocarbon fingerprint: Verifying EU and single country label-declaration
title_fullStr Geographical authentication of virgin olive oil by GC–MS sesquiterpene hydrocarbon fingerprint: Verifying EU and single country label-declaration
title_full_unstemmed Geographical authentication of virgin olive oil by GC–MS sesquiterpene hydrocarbon fingerprint: Verifying EU and single country label-declaration
title_sort Geographical authentication of virgin olive oil by GC–MS sesquiterpene hydrocarbon fingerprint: Verifying EU and single country label-declaration
dc.creator.none.fl_str_mv Quintanilla Casas, Beatriz
Torres Cobos, Berta
Guardiola, Francesc
Servili, Maurizio
Alonso Salces, Rosa Maria
Valli, Enrico
Bendini, Alessandra
Gallina Toschi, Tullia
Vichi, Stefania
Tres, Alba
author Quintanilla Casas, Beatriz
author_facet Quintanilla Casas, Beatriz
Torres Cobos, Berta
Guardiola, Francesc
Servili, Maurizio
Alonso Salces, Rosa Maria
Valli, Enrico
Bendini, Alessandra
Gallina Toschi, Tullia
Vichi, Stefania
Tres, Alba
author_role author
author2 Torres Cobos, Berta
Guardiola, Francesc
Servili, Maurizio
Alonso Salces, Rosa Maria
Valli, Enrico
Bendini, Alessandra
Gallina Toschi, Tullia
Vichi, Stefania
Tres, Alba
author2_role author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv AUTHENTICITY
FINGERPRINT
GEOGRAPHICAL ORIGIN
PLS-DA
SESQUITERPENE HYDROCARBONS
SPME-GC–MS
VIRGIN OLIVE OIL
topic AUTHENTICITY
FINGERPRINT
GEOGRAPHICAL ORIGIN
PLS-DA
SESQUITERPENE HYDROCARBONS
SPME-GC–MS
VIRGIN OLIVE OIL
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.4
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv According to the last report from the European Union (EU) Food Fraud Network, olive oil tops the list of the most notified products. Current EU regulation states geographical origin as mandatory for virgin olive oils, even though an official analytical method is still lacking. Verifying the compliance of label-declared EU oils should be addressed with the highest priority level. Hence, the present work tackles this issue by developing a classification model (PLS-DA) based on the sesquiterpene hydrocarbon fingerprint of 400 samples obtained by HS-SPME-GC–MS to discriminate between EU and non-EU olive oils, obtaining an 89.6% of correct classification for the external validation (three iterations), with a sensitivity of 0.81 and a specificity of 0.95. Subsequently, multi-class discrimination models for EU and non-EU countries were developed and externally validated (with three different validation sets) with successful results (average of 92.2% of correct classification for EU and 96.0% for non-EU countries).
Fil: Quintanilla Casas, Beatriz. Universidad de Barcelona; España
Fil: Torres Cobos, Berta. Universidad de Barcelona; España
Fil: Guardiola, Francesc. Universidad de Barcelona; España
Fil: Servili, Maurizio. Università di Perugia; Italia
Fil: Alonso Salces, Rosa Maria. Universidad Nacional de Mar del Plata. Instituto de Investigaciones en Producción, Sanidad y Ambiente - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Investigaciones en Producción, Sanidad y Ambiente; Argentina
Fil: Valli, Enrico. Università di Bologna; Italia
Fil: Bendini, Alessandra. Università di Bologna; Italia
Fil: Gallina Toschi, Tullia. Università di Bologna; Italia
Fil: Vichi, Stefania. Universidad de Barcelona; España
Fil: Tres, Alba. Universidad de Barcelona; España
description According to the last report from the European Union (EU) Food Fraud Network, olive oil tops the list of the most notified products. Current EU regulation states geographical origin as mandatory for virgin olive oils, even though an official analytical method is still lacking. Verifying the compliance of label-declared EU oils should be addressed with the highest priority level. Hence, the present work tackles this issue by developing a classification model (PLS-DA) based on the sesquiterpene hydrocarbon fingerprint of 400 samples obtained by HS-SPME-GC–MS to discriminate between EU and non-EU olive oils, obtaining an 89.6% of correct classification for the external validation (three iterations), with a sensitivity of 0.81 and a specificity of 0.95. Subsequently, multi-class discrimination models for EU and non-EU countries were developed and externally validated (with three different validation sets) with successful results (average of 92.2% of correct classification for EU and 96.0% for non-EU countries).
publishDate 2022
dc.date.none.fl_str_mv 2022-06
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/170113
Quintanilla Casas, Beatriz; Torres Cobos, Berta; Guardiola, Francesc; Servili, Maurizio; Alonso Salces, Rosa Maria; et al.; Geographical authentication of virgin olive oil by GC–MS sesquiterpene hydrocarbon fingerprint: Verifying EU and single country label-declaration; Elsevier; Food Chemistry; 378; 6-2022; 1-8
0308-8146
CONICET Digital
CONICET
url http://hdl.handle.net/11336/170113
identifier_str_mv Quintanilla Casas, Beatriz; Torres Cobos, Berta; Guardiola, Francesc; Servili, Maurizio; Alonso Salces, Rosa Maria; et al.; Geographical authentication of virgin olive oil by GC–MS sesquiterpene hydrocarbon fingerprint: Verifying EU and single country label-declaration; Elsevier; Food Chemistry; 378; 6-2022; 1-8
0308-8146
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://linkinghub.elsevier.com/retrieve/pii/S0308814622000656
info:eu-repo/semantics/altIdentifier/doi/10.1016/j.foodchem.2022.132104
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.070432

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