A New Challenge in Food Authenticity: Application of a Novel Mathematical Model for Rapid Quantification of Vegetable Oil Blends by Gas Chromatography – Mass Spectrometry (GC-MS). (13th September 2022)

• Record Type: Journal Article
• Authors: Ilić, Marko; Pastor, Kristian; Romanić, Ranko; Vujić, Đura; Ačanski, Marijana
• Is Part Of: Analytical letters. Volume 55:Number 17(2022)
• Page Start: 2752
• Page End: 2763
• Publication Date: 2022-09-13
• Subjects: edible oil analysis -- flaxseed oil -- gas chromatography – mass spectrometry (GC-MS) -- olive oil -- sunflower oil; Chemistry, Analytic -- Periodicals; Chemistry, Analytic -- Abstracts; 543
• DOI: 10.1080/00032719.2022.2069795
• Languages: English
• ISSNs: 0003-2719

Abstract

Abstract: The aim of this paper was to quantify individual oils in binary oil blends. Oil samples were prepared by blending different mass proportions of olive oil and high-oleic sunflower oil (Blend I), as well as flaxseed oil and sunflower oil (Blend II). The pure oil samples and simulated blends were analyzed by gas chromatography – mass spectrometry (GC-MS). Peak surface areas of prominent fatty acids were used to create a numerical matrix for further data processing. In order to estimate the exact content of individual oils in each blend, a novel mathematical model was developed and applied, without the application of multivariate statistics. The results of mathematical estimations were compared with theoretical values. Linear dependences were observed in both oil blends, with the R 2 > 0.993 and p < 10 −8 . In general, the employed GC-MS method coupled to the proposed mathematical model gave accurate and reliable results. This study represents a meaningful approach for the authentication of vegetable oils in terms to quantify the individual oils in adulterated oil blends.