Repository logo
 
Publication

Tunisian olive oils geographical origin discrimination using the potentiometric fingerprints recorded by an electronic tongue

2017Conference object Open access
Simple item page
dc.contributor.authorVeloso, Ana C.A.
dc.contributor.authorSouayah, Fatma
dc.contributor.authorRodrigues, Nuno
dc.contributor.authorDias, L.G.
dc.contributor.authorOueslati, Souheib
dc.contributor.authorPereira, J.A.
dc.contributor.authorPeres, António M.
dc.date.accessioned2020-02-28T11:03:13Z
dc.date.available2020-02-28T11:03:13Z
dc.date.issued2017
dc.description.abstractThe development of fast and cost-effective analytical techniques for EVOO authentication is a challenging task. Moreover, if a specific meteorological or geographical factor affects different geographical regions similarly, olive oils geographical discrimination may be a hard task using conventional analytical techniques [1]. E-noses and/or voltammetric E-tongues have already been applied to assess olive oils' geographical origin, mainly to discriminate different countries or quite different regions of the same country [2]. In this work, we used an electronic tongue (E-tongue ), with 40 lipid membrane sensors, to extract representative potentiometric fingerprints of Tunisian monovarietal olive oils that, in combination with linear discriminant analysis (LOA), could be used to classify olive oils according to the geographical origin. Aqueous ethanolic (80:20, v/v) extracts of different single-cultivar Tunisian olive oils were electrochemically analysed. According to the literature [3-6], these olive oil' extracts are rich in polar compounds that deliver different overall potentiometric responses, which can then be used to evaluate the E-tongue performance for olive oils geographical origin discrimination. The proposed E-tongue-LDA approach, based on the signal profiles of different sub-sets of sensors (seleted with the simulated annealing meta-heuristic algorithm) allowed the correct geographical origin classification of Tunisian olive oils produced from autochthonous Chemleli or Sahli cultivars (i.e., Kairouan, Sidi Bouzid and Sfax; or, Mahdia, Sousse and Kairouan; respectively). Indeed, predictive correct classifications of 92±7% and 97±8% (for repeated K-fold cross-validation) could be obtained for Chemleli or Sahli olive oils, pointing out the potential use of the E-tongue device for geographical origin identification of olive oils.pt_PT
dc.description.sponsorshipThis work was financially supported by POCI- 0 1-0 145-FEDER-006984-Associate Laboratory LSRE-LCM, Project UID/QUI/00616/2013--CQVR, Project UID/BI0/04469/2013--CEB and Project UID/AGR/00690/2013--CIMO all funded by FEDER, through COMPETE2020, and by national funds through. Nuno Rodrigues thanks FCT, POPH-QREN and FSE for the Ph.D. Grant (SFRHIBD/1 04038/2014 ).pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationVeloso, Ana C.A.; Souayah, Fatma; Rodrigues, Nuno; Dias, L.G.; Oueslati, Souheib; Pereira, J.A.; Peres, António M. (2017). Tunisian olive oils geographical origin discrimination using the potentiometric fingerprints recorded by an electronic tongue. In Book of Abstracts 18th European Meeting on Environmental Chemistry - EMEC18: Chemistry Towards an Infinite Environment. Porto. ISBN 978-972-752-228-6pt_PT
dc.identifier.isbn978-972-752-228-6
dc.identifier.urihttp://hdl.handle.net/10198/20747
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/pt_PT
dc.titleTunisian olive oils geographical origin discrimination using the potentiometric fingerprints recorded by an electronic tonguept_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5876/UID%2FQUI%2F00616%2F2013/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5876/UID%2FBIO%2F04469%2F2013/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5876/UID%2FAGR%2F00690%2F2013/PT
oaire.citation.conferencePlacePorto, Portugalpt_PT
oaire.citation.titleBook of Abstracts 18th European Meeting on Environmental Chemistry - EMEC18: Chemistry Towards an Infinite Environmentpt_PT
oaire.fundingStream5876
oaire.fundingStream5876
oaire.fundingStream5876
person.familyNameRodrigues
person.familyNameDias
person.familyNamePereira
person.familyNamePeres
person.givenNameNuno
person.givenNameLuís G.
person.givenNameJosé Alberto
person.givenNameAntónio M.
person.identifier107333
person.identifier.ciencia-idF41D-B424-5F78
person.identifier.ciencia-id2F11-9092-FAAF
person.identifier.ciencia-id611F-80B2-A7C1
person.identifier.ciencia-idCF16-5443-F420
person.identifier.orcid0000-0002-9305-0976
person.identifier.orcid0000-0002-1210-4259
person.identifier.orcid0000-0002-2260-0600
person.identifier.orcid0000-0001-6595-9165
person.identifier.ridL-6798-2014
person.identifier.ridI-8470-2012
person.identifier.scopus-author-id55258560600
person.identifier.scopus-author-id23569169900
person.identifier.scopus-author-id57204366348
person.identifier.scopus-author-id7102331969
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication00739d63-995d-4b1f-97d0-03d24c7cf0fd
relation.isAuthorOfPublicationeac8c166-4056-4ed0-8d8d-7ecb2c4481a5
relation.isAuthorOfPublication7932162e-a2da-4913-b00d-17babbe51857
relation.isAuthorOfPublication7d93be47-8dc4-4413-9304-5b978773d3bb
relation.isAuthorOfPublication.latestForDiscoveryeac8c166-4056-4ed0-8d8d-7ecb2c4481a5
relation.isProjectOfPublicationf70c9068-bed3-4d95-b1be-9ce5d563cd22
relation.isProjectOfPublication774297b8-449c-4471-8bbb-0cfe1f4c8275
relation.isProjectOfPublicationcfb6e380-87c4-4772-8c2c-76799a53d6df
relation.isProjectOfPublication.latestForDiscoveryf70c9068-bed3-4d95-b1be-9ce5d563cd22

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
Tunisian Olive.pdf
Size:
699.88 KB
Format:
Adobe Portable Document Format
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.75 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

CIMO - Resumos em Proceedings Não Indexados à WoS/Scopus