Comparative analysis of different plant oils by high-performance liquid chromatography–atmospheric pressure chemical ionization mass spectrometry

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...

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Bibliographic Details
Published in:Journal of Chromatography A 2002-11, Vol.976 (1), p.255-263
Main Authors: Jakab, Annamaria, Héberger, Károly, Forgács, Esther
Format: Article
Language:English
Subjects:
Atmospheric Pressure
Biological and medical sciences
Chromatography, High Pressure Liquid - methods
Fat industries
Food industries
Fundamental and applied biological sciences. Psychology
Glycerols
Mass Spectrometry - methods
Plant Oils - analysis
Triacylglycerols
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Summary: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, 125×4 mm, 5 μm). 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-RCO 2] + 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.
ISSN:0021-9673
DOI:10.1016/S0021-9673(02)01233-5