Fatty acid profiles based adulteration detection for flaxseed oil by gas chromatography mass spectrometry

文献类型: 外文期刊

第一作者: Sun, Xiaoman

作者: Sun, Xiaoman;Zhang, Liangxiao;Li, Peiwu;Xu, Baocheng;Ma, Fei;Zhang, Qi;Zhang, Wen;Zhang, Qi;Zhang, Wen;Li, Peiwu;Zhang, Qi;Zhang, Liangxiao;Li, Peiwu;Sun, Xiaoman;Zhang, Liangxiao;Li, Peiwu;Xu, Baocheng;Ma, Fei;Zhang, Wen

作者机构:

关键词: Flaxseed oil;Adulteration detection;Fatty acid profiles;GC/MS-SIM mode;Chemometrics

期刊名称:LWT-FOOD SCIENCE AND TECHNOLOGY ( 影响因子:4.952; 五年影响因子:5.383 )

ISSN:

年卷期:

页码:

收录情况: SCI

摘要: 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.

分类号: TS2

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