Jakab Annamaria, Héberger Károly, Forgács Esther
Institute of Chest, Chemical Research Center, Hungarian Academy of Sciences, P.O. Box 17, H-1525 Budapest, Hungary.
J Chromatogr A. 2002 Nov 8;976(1-2):255-63. doi: 10.1016/s0021-9673(02)01233-5.
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 x 4 mm, 5 microm). 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.
使用高效液相色谱-大气压化学电离质谱法对不同的植物油样品(杏仁油、鳄梨油、玉米胚芽油、葡萄籽油、亚麻籽油、橄榄油、花生油、南瓜籽油、大豆油、向日葵油、核桃油、小麦胚芽油)进行了分析。在ODS柱(Purospher,RP-18e,125×4 mm,5微米)上采用丙酮-乙腈洗脱剂体系应用梯度洗脱技术。三酰甘油(TAGs)的鉴定基于准分子离子[M+1]+和二酰甘油片段。从[M-RCO2]+片段的相对强度鉴定三酰甘油的位置异构体。线性判别分析(LDA)作为一种常见的多元数学统计计算方法,成功地用于根据其TAG组成区分这些油类。LDA显示97.6%的样品被正确分类。