Prediction of fatty acid composition of sunflower seeds by near-infrared reflectance spectroscopy

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dc.contributor.authorAkkaya, Murat Reis
dc.date.accessioned2025-01-06T17:44:33Z
dc.date.available2025-01-06T17:44:33Z
dc.date.issued2018
dc.description.abstractThis study was performed in order to evaluate efficiency of near-infrared reflectance spectroscopy (NIRS) for the determination of fatty acid composition ratio of sunflower seeds and to compare performance of calibration methods. Calibration equations were developed using modified partial least squares (MPLS) and partial least squares (PLS) regression methods. Ninety-three sunflower seed varieties were from test field of East Mediterranean Agricultural Research Institute. In order to determine the reference fatty acid values needed to construct calibration in NIRS analysis, sunflower seed samples were analyzed by gas chromatography method. Coefficients of determination (R-2) in calibration were developed using MPLS and PLS as follows: for palmitic acid 0.706-0.664, for stearic acid 0.615-0.654, for oleic acid 0.996-0.994, for linoleic acid 0.995-0.994, for arachidic acid 0.768-0.643, for linolenic acid 0.818-0.763, for behenic acid 0.891-0.776, for eicosapentaenoic 0.933-0.892, for unsaturated fatty acid 0.837-0.890 and for saturated fatty acid 0.837-0.890 respectively. The results showed that NIRS was a reliable technique that can be used as a tool for rapid pre-screening of fatty acid composition of sunflower seeds.
dc.identifier.doi10.1007/s13197-018-3150-x
dc.identifier.endpage2325
dc.identifier.issn0022-1155
dc.identifier.issn0975-8402
dc.identifier.issue6
dc.identifier.pmid29892132
dc.identifier.scopus2-s2.0-85045723114
dc.identifier.scopusqualityQ1
dc.identifier.startpage2318
dc.identifier.urihttps://doi.org/10.1007/s13197-018-3150-x
dc.identifier.urihttps://hdl.handle.net/20.500.14669/3081
dc.identifier.volume55
dc.identifier.wosWOS:000433917700037
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.language.isoen
dc.publisherSpringer India
dc.relation.ispartofJournal of Food Science and Technology-Mysore
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_20241211
dc.subjectSunflower
dc.subjectPalmitic acid
dc.subjectOleic acid
dc.subjectUnsaturated fatty acid
dc.subjectNIRS
dc.titlePrediction of fatty acid composition of sunflower seeds by near-infrared reflectance spectroscopy
dc.typeArticle

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