Phenolic Compositions and Discrimination of Seven Vegetable Oils

doi:10.7506/spkx1002-6630-201822032

Abstract

Abstract: The phenolic compositions of sunflower oil, rapeseed oil, peanut oil, flaxseed oil, olive oil, corn oil and sesame oil were determined by ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS). Principal component analysis, linear discriminant analysis and cluster analysis were applied to discriminate these vegetable oils. Results showed that phenolic composition and contents greatly varied among these vegetable oils. In PCA analysis, four principal components were extracted, which accounted for 89.42% of the total variance explained. The PCA score plots showed a noticeable difference among the seven oils. The vegetable oils were apparently distinguished by linear discriminant analysis with an accuracy rate of 84.4%. Good discrimination of rapeseed oil, olive oil and rapeseed oil from other oils was achieved by hierarchical cluster analysis.

Key words: vegetable oil, phenolic compound, principal component analysis, linear discriminant analysis, hierarchical cluster analysis

CLC Number:

TS225.1

BAI Yunhui, WEN Haichao, ZHANG Lei, NI Yuanying, LI Jingming. Phenolic Compositions and Discrimination of Seven Vegetable Oils[J]. FOOD SCIENCE, 2018, 39(22): 207-212.

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Phenolic Compositions and Discrimination of Seven Vegetable Oils

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