Differentiation of vegetable oils by mass spectrometry combined with statistical analysis

A. Jakab, K. Nagy, K. Héberger, K. Vékey, E. Forgács

Research output: Contribution to journalArticle

70 Citations (Scopus)

Abstract

The main triacylglycerol (TAG) composition of different plant oils (almond, avocado, corn germ, grape seed, linseed, mustard seed, olive, peanut, pumpkin seed, sesame seed, soybean, sunflower, walnut and wheat germ) were analyzed using two different mass spectrometric techniques: HPLC/APCI-MS (high-performance liquid chromatography/atmospheric pressure chemical ionization mass spectrometry) and MALDI-TOFMS (matrix-assisted laser desorption/ionization time-of-flight mass spectrometry). Linear discriminant analysis (LDA) as a multivariate mathematical statistical method was successfully used to distinguish different plant oils based on their relative TAG composition. With LDA analysis of either APCI-MS or MALDI-MS data, the classification among the almond, avocado, grape seed, linseed, mustard seed, olive, sesame seed and soybean oil samples was 100% correct. In both cases only 6 different oil samples from a total of 73 were not classified correctly.

Original languageEnglish
Pages (from-to)2291-2297
Number of pages7
JournalRapid Communications in Mass Spectrometry
Volume16
Issue number24
DOIs
Publication statusPublished - Dec 1 2002

ASJC Scopus subject areas

  • Analytical Chemistry
  • Spectroscopy
  • Organic Chemistry

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