School of Chinese Medicine
A new HPLC-DAD-MS method was developed to compare the major constituents in 7 types of processed tea, namely green tea, yellow tea, white tea, oolong tea, black tea, aged pu-erh tea and ripened pu-erh tea. MS was used for identification in positive ion mode, and DAD was used for quantification at wavelength of 210nm. Ten components were simultaneously determined in 74 tea samples representing 7 processing types, and then principal component analysis (PCA) and hierarchical cluster analysis (HCA) were used to distinguish and classify between the samples. The results demonstrate that the contents of the major constituents significantly varied among the 7 types of tea. Unique aspects of each type of processing were correlated with unique aspects of the chemistry of the tea. The 7 types of processed tea were successfully divided into four categories based on our determination and chemometrics analysis. Our present method was adaptable for the comparative study of processed tea, which significantly contributes to discrimination and quality evaluation of teas.
Hierarchical cluster analysis, HPLC-DAD-MS, Major constituents, Principal component analysis, Processed tea
Source Publication Title
Food Science and Technology
1, Part 1
Copyright © 2015 Elsevier Ltd. All rights reserved.
Link to Publisher's Edition
Yi, Tao, Lin Zhu, Wan-Ling Peng, Xi-Cheng He, Hong-Li Chen, Jie Li, Tao Yu, Zhi-Tao Liang, Zhong-Zhen Zhao, and Hu-Biao Chen. "Comparison of ten major constituents in seven types of processed tea using HPLC-DAD-MS followed by principal component and hierarchical cluster analysis." Food Science and Technology 62.1, Part 1 (2015): 194-201.