Chemometric analysis of chemo-optical data for the assessment of olive oil blended with hazelnut oil

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dc.contributor.authorKadiroğlu, Pınar
dc.contributor.authorKorel, Figen
dc.contributor.authorPardo, Matteo
dc.date.accessioned2025-01-06T17:30:30Z
dc.date.available2025-01-06T17:30:30Z
dc.date.issued2019
dc.description.abstractThe main objective of this study was to determine different hazelnut oil concentrations in extra virgin olive oil (EVOO) belonging to different geographical regions inside Turkey using the combination of a SAW sensor based electronic nose (e-nose) and a machine vision system (MVS). We leveraged the oil characterisation given by the two easy-to-use and complementary experimental techniques through the adoption of conventional PCA for data exploration and random forests (RF) for supervised learning. The e-nose/MVS combination allows significantly better results both in adulteration detection independently of EVOO’s geographical provenance and in EVOO geographical provenance determination, independently of the adulteration level, with respect to the single characterisation method. RF analysis also produces feature ranking, permitting to shed light on which oils’ characteristics influence the learning result. We found that EVOO geographical provenance discrimination is mainly due to yellowness and guaiacol content, while (E)-2-hexenal chiefly determines the prediction of the hazelnut level. © 2019, INNOVHUB - Stazioni Sperimentali per l'Industria S.r.l - Area Oli e Grassi. All rights reserved.
dc.identifier.endpage130
dc.identifier.issn0035-6808
dc.identifier.issue2
dc.identifier.scopus2-s2.0-85069765765
dc.identifier.scopusqualityQ4
dc.identifier.startpage123
dc.identifier.urihttps://hdl.handle.net/20.500.14669/1659
dc.identifier.volume96
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherINNOVHUB - Stazioni Sperimentali per l'Industria S.r.l - Area Oli e Grassi
dc.relation.ispartofRivista Italiana delle Sostanze Grasse
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20241211
dc.subjectElectronic nose
dc.subjectExtra virgin olive oil
dc.subjectFeature selection
dc.subjectMachine vision system
dc.subjectRandom forests
dc.titleChemometric analysis of chemo-optical data for the assessment of olive oil blended with hazelnut oil
dc.typeArticle

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