APPLICATION OF NEAR INFRARED SPECTROSCOPY COMBINED WITH MULTIVARIATE ANALYSIS FOR SCREENING FOLIAR MAIN ESSENTIAL OIL COMPONENTS IN BAY LAUREL

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dc.authoridKaya, Durmus Alpaslan/0000-0003-3544-9214
dc.contributor.authorCeliktas, Nafiz
dc.contributor.authorKaya, Alpaslan
dc.contributor.authorTurkmen, Musa
dc.date.accessioned2024-09-18T20:52:44Z
dc.date.available2024-09-18T20:52:44Z
dc.date.issued2022
dc.departmentHatay Mustafa Kemal Üniversitesien_US
dc.description.abstractGround bay laurel leaf samples (10-15 g) were scanned using Fourier-transform nearinfrared (FT-NIR) spectrometer with reflectance mode in the 1000-2500 nm wavelength range. According to the wet chemical analyses, the essential oil content of the samples from different locations varied between 1.77 and 5.30%. The major component of essential oil was 1-8 cineole with a concentration of 43.4-58.1%. The regression coefficients of calibration (R-C(AL))2 and validation (R-VAL(2)) for essential oil and 1-8 cineol content with partial least square regression (PLSR) actualized as 0.96-0.98 and 0.98-0.98, respectively. The prediction accuracy of the final NIRS model was reasonable, with acceptable root mean standard errors of prediction (RMSEP) of 0.18% and 0.45%. According to the residual predictive deviation (RPD) index (3.58 and 8.41), the accuracy of the NIRS models was regarded as the best. The PLSR model differentiated bay laurel genotypes very well on the first principal component (PC1), based on the related properties.en_US
dc.description.sponsorshipTUBITAK (the Scientific and Technological Research Council of Turkey) [113O009]en_US
dc.description.sponsorshipThe authors offer their special thanks to TUBITAK (the Scientific and Technological Research Council of Turkey) for the financial support for the NIRS system used in this study under project 113O009.en_US
dc.identifier.doi10.1590/1809-4430-Eng.Agric.v42n2e20200040/2022
dc.identifier.issn0100-6916
dc.identifier.issue2en_US
dc.identifier.scopus2-s2.0-85129708615en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.urihttps://doi.org/10.1590/1809-4430-Eng.Agric.v42n2e20200040/2022
dc.identifier.urihttps://hdl.handle.net/20.500.12483/11353
dc.identifier.volume42en_US
dc.identifier.wosWOS:000789294100001en_US
dc.identifier.wosqualityQ4en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSoc Brasil Engenharia Agricolaen_US
dc.relation.ispartofEngenharia Agricolaen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectNIRS predictionen_US
dc.subjectLaurus nobilis L.en_US
dc.subject1-8 cineolen_US
dc.subjectPLSRen_US
dc.titleAPPLICATION OF NEAR INFRARED SPECTROSCOPY COMBINED WITH MULTIVARIATE ANALYSIS FOR SCREENING FOLIAR MAIN ESSENTIAL OIL COMPONENTS IN BAY LAURELen_US
dc.typeArticleen_US

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