期刊
JOURNAL OF CHROMATOGRAPHY A
卷 976, 期 1-2, 页码 255-263出版社
ELSEVIER
DOI: 10.1016/S0021-9673(02)01233-5
关键词
linear discriminant analysis; vegetable oils; triacylglycerols; glycerols
Different vegetable oil samples (almond, avocado, corngerm, grapeseed, linseed, olive, peanut, pumpkin seed, soybean, sunflower, walnut, wheatgerm) were analyzed using high-performance liquid chromatography-atmospheric pressure chemical ionization mass spectrometry. A gradient elution technique was applied using acetone-acetonitrile eluent systems on an ODS column (Purospher, RP-18e, 125x4 mm, 5 mum). Identification of triacylglycerols (TAGs) was based on the pseudomolecular ion [M+1](+) and the diacylglycerol fragments. The positional isomers of triacylglycerol were identified from the relative intensities of the [M-RCO2](+) fragments. Linear discriminant analysis (LDA) as a common multivariate mathematical-statistical calculation was successfully used to distinguish the oils based on their TAG composition. LDA showed that 97.6% of the samples were classified correctly. (C) 2002 Elsevier Science B.V. All rights reserved.
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