Application of an electronic tongue for Tunisian olive oils’ classification according to olive cultivar or physicochemical parameters

Detalhes bibliográficos
Autor(a) principal: Slim, Souihli
Data de Publicação: 2017
Outros Autores: Rodrigues, Nuno, Dias, L.G., Veloso, Ana C.A., Pereira, J.A., Oueslati, Souheib, Peres, António M.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10198/15281
Resumo: Olive oil commercialization has a great impact on the economy of several countries, namely Tunisia, being prone to frauds. Therefore, it is important to establish analytical techniques to ensure labeling correctness concerning olive oil quality and olive cultivar. Traditional analytical techniques are quite expensive, time consuming and hardly applied in situ, considering the harsh environments of the olive industry. In this work, the feasibility of applying a potentiometric electronic tongue with cross-sensitivity lipid membranes to discriminate Tunisian olive oils according to their quality level (i.e., extra virgin, virgin or lampante olive oils) or autochthonous olive cultivar (i.e., cv Chétoui and cv Shali) was evaluated for the first time. Linear discrimination analysis coupled with the simulated annealing variable selection algorithm showed that the signal profiles of olive oils’ hydroethanolic extracts allowed olive oils discrimination according to physicochemical quality level (classification model based on 25 signals enabling 84 ± 9% correct classifications for repeated K-fold cross-validation), and olive cultivar (classification model based on 20 signals with an average sensitivity of 94 ± 6% for repeated K-fold cross-validation), regardless of the geographical origin and olive variety or the olive quality, respectively. The results confirmed, for the first time, the potential discrimination of the electronic tongue, attributed to the observed quantitative response (sensitivities ranging from -66.6 to +57.7 mV/decade) of the E-tongue multi-sensors towards standard solutions of polar compounds (aldehydes, esters and alcohols) usually found in olive oils and that are related to their sensory positive attributes like green and fruity.
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spelling Application of an electronic tongue for Tunisian olive oils’ classification according to olive cultivar or physicochemical parametersAutochthonous Chétoui olive cultivarAutochthonous Sahli olive cultivarChemometricsElectronic tongueTunisian olive oilsOlive oil commercialization has a great impact on the economy of several countries, namely Tunisia, being prone to frauds. Therefore, it is important to establish analytical techniques to ensure labeling correctness concerning olive oil quality and olive cultivar. Traditional analytical techniques are quite expensive, time consuming and hardly applied in situ, considering the harsh environments of the olive industry. In this work, the feasibility of applying a potentiometric electronic tongue with cross-sensitivity lipid membranes to discriminate Tunisian olive oils according to their quality level (i.e., extra virgin, virgin or lampante olive oils) or autochthonous olive cultivar (i.e., cv Chétoui and cv Shali) was evaluated for the first time. Linear discrimination analysis coupled with the simulated annealing variable selection algorithm showed that the signal profiles of olive oils’ hydroethanolic extracts allowed olive oils discrimination according to physicochemical quality level (classification model based on 25 signals enabling 84 ± 9% correct classifications for repeated K-fold cross-validation), and olive cultivar (classification model based on 20 signals with an average sensitivity of 94 ± 6% for repeated K-fold cross-validation), regardless of the geographical origin and olive variety or the olive quality, respectively. The results confirmed, for the first time, the potential discrimination of the electronic tongue, attributed to the observed quantitative response (sensitivities ranging from -66.6 to +57.7 mV/decade) of the E-tongue multi-sensors towards standard solutions of polar compounds (aldehydes, esters and alcohols) usually found in olive oils and that are related to their sensory positive attributes like green and fruity.This work was financially supported by Project POCI-01–0145-FEDER-006984–Associate Laboratory LSRE-LCM and by Project UID/QUI/00616/2013–CQ-VR both funded by FEDER—Fundo Europeu de Desenvolvimento Regional through COMPETE2020-Programa Operacional Competitividade e Internacionalização (POCI)—and by national funds through FCT-Fundação para a Ciência e a Tecnologia, Portugal. Strategic funding of UID/BIO/04469/2013 unit is also acknowledged. Nuno Rodrigues thanks FCT, POPH-QREN and FSE for the Ph.D. Grant (SFRH/BD/104038/2014).Biblioteca Digital do IPBSlim, SouihliRodrigues, NunoDias, L.G.Veloso, Ana C.A.Pereira, J.A.Oueslati, SouheibPeres, António M.2018-01-25T10:00:00Z20172017-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10198/15281engSlim, Souihli; Rodrigues, Nuno; Dias, Luís G.; Veloso, Ana C.A.; Pereira, José A.; Oueslati, Souheib; Peres, António M. (2017). Application of an electronic tongue for Tunisian olive oils’ classification according to olive cultivar or physicochemical parameters. European Food Research and Technology. ISSN 1438-2377. 243, p. 1459-14701438-237710.1007/s00217-017-2856-8info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-21T10:35:45Zoai:bibliotecadigital.ipb.pt:10198/15281Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T23:04:54.642140Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Application of an electronic tongue for Tunisian olive oils’ classification according to olive cultivar or physicochemical parameters
title Application of an electronic tongue for Tunisian olive oils’ classification according to olive cultivar or physicochemical parameters
spellingShingle Application of an electronic tongue for Tunisian olive oils’ classification according to olive cultivar or physicochemical parameters
Slim, Souihli
Autochthonous Chétoui olive cultivar
Autochthonous Sahli olive cultivar
Chemometrics
Electronic tongue
Tunisian olive oils
title_short Application of an electronic tongue for Tunisian olive oils’ classification according to olive cultivar or physicochemical parameters
title_full Application of an electronic tongue for Tunisian olive oils’ classification according to olive cultivar or physicochemical parameters
title_fullStr Application of an electronic tongue for Tunisian olive oils’ classification according to olive cultivar or physicochemical parameters
title_full_unstemmed Application of an electronic tongue for Tunisian olive oils’ classification according to olive cultivar or physicochemical parameters
title_sort Application of an electronic tongue for Tunisian olive oils’ classification according to olive cultivar or physicochemical parameters
author Slim, Souihli
author_facet Slim, Souihli
Rodrigues, Nuno
Dias, L.G.
Veloso, Ana C.A.
Pereira, J.A.
Oueslati, Souheib
Peres, António M.
author_role author
author2 Rodrigues, Nuno
Dias, L.G.
Veloso, Ana C.A.
Pereira, J.A.
Oueslati, Souheib
Peres, António M.
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv Biblioteca Digital do IPB
dc.contributor.author.fl_str_mv Slim, Souihli
Rodrigues, Nuno
Dias, L.G.
Veloso, Ana C.A.
Pereira, J.A.
Oueslati, Souheib
Peres, António M.
dc.subject.por.fl_str_mv Autochthonous Chétoui olive cultivar
Autochthonous Sahli olive cultivar
Chemometrics
Electronic tongue
Tunisian olive oils
topic Autochthonous Chétoui olive cultivar
Autochthonous Sahli olive cultivar
Chemometrics
Electronic tongue
Tunisian olive oils
description Olive oil commercialization has a great impact on the economy of several countries, namely Tunisia, being prone to frauds. Therefore, it is important to establish analytical techniques to ensure labeling correctness concerning olive oil quality and olive cultivar. Traditional analytical techniques are quite expensive, time consuming and hardly applied in situ, considering the harsh environments of the olive industry. In this work, the feasibility of applying a potentiometric electronic tongue with cross-sensitivity lipid membranes to discriminate Tunisian olive oils according to their quality level (i.e., extra virgin, virgin or lampante olive oils) or autochthonous olive cultivar (i.e., cv Chétoui and cv Shali) was evaluated for the first time. Linear discrimination analysis coupled with the simulated annealing variable selection algorithm showed that the signal profiles of olive oils’ hydroethanolic extracts allowed olive oils discrimination according to physicochemical quality level (classification model based on 25 signals enabling 84 ± 9% correct classifications for repeated K-fold cross-validation), and olive cultivar (classification model based on 20 signals with an average sensitivity of 94 ± 6% for repeated K-fold cross-validation), regardless of the geographical origin and olive variety or the olive quality, respectively. The results confirmed, for the first time, the potential discrimination of the electronic tongue, attributed to the observed quantitative response (sensitivities ranging from -66.6 to +57.7 mV/decade) of the E-tongue multi-sensors towards standard solutions of polar compounds (aldehydes, esters and alcohols) usually found in olive oils and that are related to their sensory positive attributes like green and fruity.
publishDate 2017
dc.date.none.fl_str_mv 2017
2017-01-01T00:00:00Z
2018-01-25T10:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10198/15281
url http://hdl.handle.net/10198/15281
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Slim, Souihli; Rodrigues, Nuno; Dias, Luís G.; Veloso, Ana C.A.; Pereira, José A.; Oueslati, Souheib; Peres, António M. (2017). Application of an electronic tongue for Tunisian olive oils’ classification according to olive cultivar or physicochemical parameters. European Food Research and Technology. ISSN 1438-2377. 243, p. 1459-1470
1438-2377
10.1007/s00217-017-2856-8
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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