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dc.contributor.authorKadiroğlu, Pınar
dc.contributor.authorKorel, Figen
dc.contributor.authorPardo, Matteo
dc.date.accessioned2020-07-25T22:03:23Z
dc.date.available2020-07-25T22:03:23Z
dc.date.issued2019-05
dc.identifier.issn0035-6808
dc.identifier.urihttps://hdl.handle.net/11147/9063
dc.description.abstractThe main objective of this study was to determine different hazelnut oil concentrations in extra virgin olive oil (EV00) 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 EVO0 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 EV00 geographical provenance discrimination is mainly due to yellowness and guaiacol content, while (E)-2-hexenal chiefly determines the prediction of the hazelnut level.en_US
dc.language.isoengen_US
dc.publisherINNOVHUBen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectExtra virgin olive oilen_US
dc.subjectElectronic noseen_US
dc.subjectMachine vision systemen_US
dc.subjectRandom forestsen_US
dc.subjectFeature selectionen_US
dc.titleChemometric analysis of chemo-optical data for the assessment of olive oil blended with hazelnut oilen_US
dc.typearticleen_US
dc.contributor.institutionauthorKadiroğlu, Pınar
dc.contributor.institutionauthorKorel, Figen
dc.relation.journalRivista Italiana Delle Sostanze Grasseen_US
dc.contributor.departmentIzmir Institute of Technology. Food Engineeringen_US
dc.identifier.volume96en_US
dc.identifier.issue2en_US
dc.identifier.startpage123en_US
dc.identifier.endpage130en_US
dc.identifier.wosWOS:000473835400006
dc.identifier.scopusSCOPUS:2-s2.0-85069765765
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US


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