期刊
ANALYTICAL METHODS
卷 6, 期 24, 页码 9575-9580出版社
ROYAL SOC CHEMISTRY
DOI: 10.1039/c4ay02139h
关键词
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资金
- National Key Technologies RD Program [2012BAK08B03]
- National Nature Foundation Committee of P.R. China [21205118]
- National Major Project for Agro-product Quality & Safety Risk Assessment [GJFP2014006]
- earmarked fund for China Agriculture Research System [CARS-13]
To prevent the potential adulteration of flaxseed oil with high amounts of nutritional components, a simple and rapid adulteration detection method was proposed based on ion mobility spectrometry (IMS). After dilution in n-hexane, the edible oil sample was analyzed by IMS for 20 s. Subsequently, the multivariate statistical methods, including principal component analysis (PCA) and recursive support vector machine (R-SVM), were employed to establish a discriminant model for authentic and adulterated flaxseed oils. The cross validation results indicated that the R-SVM model could identify adulterated flaxseed oil samples (>= 5%) with a high accuracy of 93.1%. Therefore, IMS could be used as an important tool to protect customers from adulterated flaxseed oil.
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