期刊
JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY
卷 62, 期 34, 页码 8745-8751出版社
AMER CHEMICAL SOC
DOI: 10.1021/jf501097c
关键词
fatty acid profiles; adulteration identification; edible oil; GC/MS; chemometrics
资金
- National Science & Technology Pillar Plan [2012BAK08B03]
- National Major Project for Agro-product Quality & Safety Risk Assessment [GJFP2014006]
- National Natural Science Foundation of China [21205118, 31201447]
- Special Fund for Quality Inspection Research in the Public Interest [2012104010-4]
- earmarked fund for China Agriculture research system [CARS-13]
The detection of adulteration of high priced oils is a particular concern in food quality and safety. Therefore, it is necessary to develop authenticity detection method for protecting the health of customers. In this study, fatty acid profiles of five edible oils were established by gas chromatography coupled with mass spectrometry (GC/MS) in selected ion monitoring mode. Using mass spectral characteristics of selected ions and equivalent chain length (ECL), 28 fatty acids were identified and employed to classify five kinds of edible oils by using unsupervised (principal component analysis and hierarchical clustering analysis), supervised (random forests) multivariate statistical methods. The results indicated that fatty acid profiles of these edible oils could classify five kinds of edible vegetable oils into five groups and are therefore employed to authenticity assessment. Moreover, adulterated oils were simulated by Monte Carlo method to establish simultaneous adulteration detection model for five kinds of edible oils by random forests. As a result, this model could identify five kinds of edible oils and sensitively detect adulteration of edible oil with other vegetable oils about the level of 10%.
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