Differentiation of vegetable oils by mass spectrometry combined with statistical analysis

被引：65

作者：

Jakab, A ^{[1
]}

Nagy, K ^{[1
]}

Héberger, K ^{[1
]}

Vékey, K ^{[1
]}

Forgács, E ^{[1
]}

机构：

[1] Hungarian Acad Sci, Chem Res Ctr, Inst Chem, H-1525 Budapest, Hungary

来源：

RAPID COMMUNICATIONS IN MASS SPECTROMETRY | 2002年 / 16卷 / 24期

关键词：

D O I：

10.1002/rcm.862

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

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. Copyright (C) 2002 John Wiley Sons, Ltd.

引用

页码：2291 / 2297

页数：7

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