Classification of Three Green Tea Varieties by Micellar Electrokinetic Electrophoresis-Laser Induced Fluorescence and Pattern Recognition Methods

被引:0
|
作者
Ye, NengSheng [1 ]
Xie, YaLi [1 ]
Liu, Chang [1 ]
Li, Jian [1 ]
机构
[1] Capital Normal Univ, Dept Chem, Beijing 100048, Peoples R China
来源
关键词
Micellar electrokinetic electrophoresis; Green tea; Cluster analysis; discriminant analysis; GEOGRAPHICAL ORIGIN; IDENTIFICATION; CATECHINS; NOSE; PCA;
D O I
10.4028/www.scientific.net/AMR.554-556.1289
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
A micellar electrokinetic electrophoresis-laser induced fluorescence detection (MEKC-LIF) method was applied for the profiling of native fluorescence in three different kinds of Chinese green teas. The running buffer was 100 mM sodium borate (pH9.8) containing 20 mM SDS, and tea infusion was injected at the pressure of 0.5 psi for 5 seconds. The applied voltage was set at 25 kV, and the excited wavelength was 488 nm, and the detected wavelength was 520 nm. Ten tea samples were collected and analyzed by the developed method. Eighteen common peaks in the MEKC-LIF profiling of green teas were selected and these samples were classified into 3 groups by cluster analysis and partial least square discriminant analysis (PLS-DA). Our primary results indicated that the developed method could be applied for the classification of three different Chinese green teas.
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页码:1289 / 1292
页数:4
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