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首页> 外文期刊>Journal of the American Oil Chemists' Society >PRINCIPAL COMPONENT ANALYSIS IN FAST ATOM BOMBARDMENT MASS SPECTROMETRY OF TRIACYLGLYCEROLS IN EDIBLE OILS
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PRINCIPAL COMPONENT ANALYSIS IN FAST ATOM BOMBARDMENT MASS SPECTROMETRY OF TRIACYLGLYCEROLS IN EDIBLE OILS

机译:食用油中甘油三酸酯快速原子轰击质谱中的主要成分分析

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摘要

Positive-ion fast atom bombardment-mass spectrometry, with m-nitrobenzyl alcohol as matrix and a methanolic sodium iodide (Nal) solution, was used to characterize edible oils by their triacylglycerol composition. Cationized triacylglycerols gave characteristic spectra for olive (57 samples), sunflower (9 samples), soybean (9 samples), corn (12 samples), and peanut (10 samples) oils. Relative abundance oi [M + Na](+) ions showed relevant differences among the oils. The obtained data were analyzed with the aid of chemometrics by using principal component analysis (PCA) to evaluate the differentiation. Twelve Variables were reduced to two principal components, accounting for 82% of the total variance. A two-dimensional plot of 97 PCA scores allowed the separation of the edible oils. The analysis is both fast and reproducible. [References: 21]
机译:以间硝基苄醇为基质,甲醇碘化钠(Nal)溶液为阳离子的快速原子轰击质谱法,通过食用油中的三酰基甘油组成对其进行表征。阳离子化的三酰基甘油给出了橄榄油(57个样品),向日葵(9个样品),大豆(9个样品),玉米(12个样品)和花生(10个样品)油的特征光谱。 [M + Na](+)离子的相对丰度显示出这些油之间的相关差异。借助化学计量学,使用主成分分析(PCA)分析获得的数据,以评估差异。十二个变量减少为两个主要成分,占总方差的82%。 97 PCA分数的二维图可以分离食用油。分析既快速又可重复。 [参考:21]

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