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dc.contributor.authorGarrido-Varo, Ana
dc.contributor.authorSánchez Pineda de las Infantas, María Teresa
dc.contributor.authorHaba de la Cerda, María José de la
dc.contributor.authorTorres Rodríguez, Irina
dc.contributor.authorPérez-Marín, D.C.
dc.date.accessioned2017-11-21T10:08:00Z
dc.date.available2017-11-21T10:08:00Z
dc.date.issued2017
dc.identifier.citationSensors 17(11), 2642 (2017)es_ES
dc.identifier.urihttp://hdl.handle.net/10396/15481
dc.description.abstractNear-Infrared (NIR) Spectroscopy was used for the non-destructive assessment of physico-chemical quality parameters in olive oil. At the same time, the influence of the sample presentation mode (spinning versus static cup) was evaluated using two spectrophotometers with similar optical characteristics. A total of 478 olive oil samples were used to develop calibration models, testing various spectral signal pre-treatments. The models obtained by applying MPLS regression to spectroscopic data yielded promising results for olive oil quality measurements, particularly for acidity, the peroxide index and alkyl and ethyl ester content. The results obtained indicate that this non-invasive technology can be used successfully by the olive oil sector to categorize olive oils, to detect potential fraud and to provide consumers with more reliable information. Although both sample presentation modes yielded comparable results, equations constructed with samples scanned using the spinning mode provided greater predictive capacity.es_ES
dc.format.mimetypeapplication/pdfes_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/3.0/es/es_ES
dc.subjectNear-infrared spectroscopyes_ES
dc.subjectOlive oiles_ES
dc.subjectPhysico-chemical qualityes_ES
dc.subjectMPLS regressiones_ES
dc.subjectAnalysis modees_ES
dc.titleFast, Low-Cost and Non-Destructive Physico-Chemical Analysis of Virgin Olive Oils Using Near-Infrared Reflectance Spectroscopyes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherversionhttp://dx.doi.org/10.3390/s17112642es_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES


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