Combining non-destructive devices and multivariate analysis as a tool to quantify the fatty acid profiles of linseed genotypes

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dc.contributor.authorArslan, Aysel
dc.contributor.authorAygun, Yusuf Ziya
dc.contributor.authorTurkmen, Musa
dc.contributor.authorCeliktas, Nafiz
dc.contributor.authorMert, Mehmet
dc.date.accessioned2026-06-19T06:39:40Z
dc.date.available2026-06-19T06:39:40Z
dc.date.issued2025
dc.departmentMalatya Turgut Özal Üniversitesi
dc.description.abstractLinseed (Linum usitatissimum L.) and linseed oil, with a fatty acid profile rich in both macro and micro elements, are recognized as functional foods due to their valuable positive effects on health. Fatty acids composition (FAC) is a key indicator in assessing the quality of linseeds. The FAC of linseed is typically determined using chromatographic methods, yielding highly accurate results. However, chromatographic methods entail drawbacks such as requiring pre-chemical processes, generating chemical waste, and being both expensive and timeconsuming, similar to chemical analyses. This study focused on the feasibility of colorimeter and FT-NIRS data to determine the FAC (%), protein (%) and neutral detergent fiber (NDF %) in linseed samples. By employing the PLSR analysis based on FT-NIRS, it was determined that the ratios of stearic (R2val = 0.74, RMSEP = 0.09 %), oleic (R2val = 0.75, RMSEP = 0.26 %), linoleic (R2val = 0.85, RMSEP = 0.58 %), linolenic (R2val = 0.71, RMSEP = 1.07 %), 8,11,14 eicosatrienoic (R2 val = 0.77, RMSEP = 0.02 %), margaric (R2 val = 0.71, RMSEP = 0.01 %), myristic (R2val = 0.75, RMSEP = 0.02 %), and behenic (R2val = 0.74, RMSEP = 1.12 %) in linseed could be successfully predicted. Furthermore, results demonstrated that the protein (R2val = 0.87, RMSEP = 0.9 %) and NDF (R2val = 0.90, RMSEP = 0.6 %) content in linseeds can be successfully predicted. PLSR has demonstrated that FT-NIRS has relatively higher predictive capability compared to color models.
dc.description.sponsorshipThe authors thank Assoc. Prof. Dr. .Ibrahim ERTEK .IN for his contri-butions to part of the chemical analyses conducted in the study
dc.identifier.doi10.1016/j.talanta.2024.126798
dc.identifier.issn0039-9140
dc.identifier.issn1873-3573
dc.identifier.orcid0000-0001-9914-9523
dc.identifier.orcid0000-0001-9842-006X
dc.identifier.orcid0000-0002-0467-1034
dc.identifier.orcid0000-0002-0060-0263
dc.identifier.pmid39241643
dc.identifier.scopus2-s2.0-85203003190
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1016/j.talanta.2024.126798
dc.identifier.urihttps://hdl.handle.net/20.500.12899/5732
dc.identifier.volume281
dc.identifier.wosWOS:001309517400001
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.language.isoen
dc.publisherElsevier
dc.relation.ispartofTalanta
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WOS_20260612
dc.subjectFourier Transform
dc.subjectLinseed
dc.subjectFatty Acid
dc.subjectGas Chromatography
dc.subjectChemometrics
dc.subjectFunctional Foods
dc.titleCombining non-destructive devices and multivariate analysis as a tool to quantify the fatty acid profiles of linseed genotypes
dc.typeArticle

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