Journal
LWT-FOOD SCIENCE AND TECHNOLOGY
Volume 63, Issue 1, Pages 430-436Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.lwt.2015.02.023
Keywords
Flaxseed oil; Adulteration detection; Fatty acid profiles; GC/MS-SIM mode; Chemometrics
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Funding
- National Key Technologies RD Program [2012BAK08B03]
- Special Fund for Quality Inspection Research in the Public Interest [2012104010-4]
- National Nature Foundation Committee of P.R. China [21205118]
- earmarked fund for China Agriculture Research System [CARS-13]
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Flaxseed oil is popular edible oil and an important additive in functional foods and feeds. Recently, economically motivated adulteration as a type of oil fraud becomes emerging risk. In this study, the fatty acid profiles of flaxseed oil were analyzed by gas chromatography-mass spectrometry operating in selected ion monitoring mode and then used to detect adulterated flaxseed oil with the help of multi-variate statistical methods including principle component analysis (PCA), and recursive support vector machine (R-SVM). The detection results indicate that the discriminant model built with 28 fatty acids can identify adulterated flaxseed oil samples (10%) with high accuracy of 95.6%. Therefore, fatty acid profiles based adulteration detection for flaxseed oil is an important strategy for preventing customers far from adulterated flaxseed oil. (C) 2015 Elsevier Ltd. All rights reserved.
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