The use of Raman spectroscopy and chemometrics for the discrimination of lab-produced, commercial, and adulterated cold-pressed oils

Basit Öğe Kaydı
dc.authorid0000-0002-9161-6286
dc.authorid0000-0003-2795-1896
dc.authorid0000-0002-6676-560X
dc.authorscopusid55633761500
dc.authorscopusid57205610252
dc.authorscopusid57201422246
dc.authorscopusid25423141800
dc.authorwosidVelioğlu, Serap Duraklı/AAG-4565-2019
dc.contributor.authorTümay Temiz, Havva
dc.contributor.authorDuraklı Velioğlu, Serap
dc.contributor.authorGürbüz Güner, Kadir
dc.contributor.authorVelioğlu, Hasan Murat
dc.date.accessioned2022-05-11T14:14:22Z
dc.date.available2022-05-11T14:14:22Z
dc.date.issued2021
dc.departmentFakülteler, Ziraat Fakültesi, Gıda Mühendisliği Bölümü
dc.departmentFakülteler, Ziraat Fakültesi, Tarımsal Biyoteknoloji Bölümü
dc.description.abstractIn this study, lab-produced cold-pressed oil samples of black cumin (CPBCO), almond (CPAO), and walnut (CPWO) were compared with their commercial substitutes. Additionally, adulteration of cold-pressed oils with corn and sunflower oils was determined. Chemical information and fatty acid composition of the samples were obtained using Raman spectroscopy and gas chromatography, respectively. Raman spectra were analyzed with principal component analysis (PCA) and partial least squares-discriminant analysis (PLS-DA). The developed PCA models for the discrimination of CPBCO, CPAO, and CPWO from the adulterated samples explained 93.35%, 96.24, and 94.25% of the cumulative variances, respectively. Root mean squared error of calibration (RMSEC), root mean squared error of cross-validation (RMSECV), and root mean squared error of cross-prediction (RMSEP) values were found to be between 0.06 and 0.21, 0.03-0.11, and 0.05-0.21; 0.08-0.24, 0.06-0.15, and 0.08-0.25; and 0.05-0.18, 0.03-0.10, and 0.09-0.20 for the PLS-DA models of CPBCO, CPAO, and CPWO adulterations. The developed PCA models for the discrimination of CPBCO, CPAO, and CPWO from commercial samples explained 99.64%, 91.27, and 92.11% of the cumulative variances, respectively. These results indicate that Raman spectroscopy coupled with chemometrics could be potentially useful both for the discrimination of cold-pressed oils and for the rapid determination of adulteration with cheaper oils.
dc.description.sponsorshipResearch Fund of the Tekirdag Namk Kemal University [NKUBAP.03, 16.034]
dc.description.sponsorshipThis study was supported by the Research Fund of the Tekirdag Namk Kemal University. Project number: NKUBAP.03.GA.16.034.
dc.identifier.doi10.1016/j.lwt.2021.111479
dc.identifier.issn0023-6438
dc.identifier.issn1096-1127
dc.identifier.scopus2-s2.0-85104326932
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1016/j.lwt.2021.111479
dc.identifier.urihttps://hdl.handle.net/20.500.11776/5881
dc.identifier.volume146
dc.identifier.wosWOS:000663383500001
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorGürbüz Güner, Kadir
dc.institutionauthorVelioğlu, Hasan Murat
dc.language.isoen
dc.publisherElsevier
dc.relation.ispartofLwt-Food Science and Technology
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectAdulteration
dc.subjectAlmond oil
dc.subjectBlack cumin oil
dc.subjectChemometrics
dc.subjectCold-pressed oil
dc.subjectWalnut oil
dc.titleThe use of Raman spectroscopy and chemometrics for the discrimination of lab-produced, commercial, and adulterated cold-pressed oils
dc.typeArticle

Dosyalar

Orijinal paket
Listeleniyor 1 - 1 / 1
Küçük Resim Yok
İsim:
5881.pdf
Boyut:
5.56 MB
Biçim:
Adobe Portable Document Format
Açıklama:
Tam Metin / Full Text
İndir

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu
Ziraat Fakültesi Koleksiyonu