Determination of polyphenol antioxidants in the samples of green tea. The characteristic chromatographic profiles

Q4 Chemistry

Analitika i Kontrol Pub Date : 2019-01-01 DOI:10.15826/analitika.2019.23.3.010

L. Kartsova, V. Deev, E. Bessonova, O. Belous, N. Platonova

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引用次数: 6

Abstract

The conditions for the selective separation of polyphenols and caffeine with reverse-phase high-performance liquid chromatography with diodarray ( RP HPLC-DAD ) and mass-spectrometric detections ( RP HPLC/MS ) were found. Using the developed technique, chromatographic profiles of 29 samples of green tea (including 11 selection ones provided by the All-Russian Research Institute of Floriculture and Subtropical Crops, Sochi) were obtained. Using HPLC/MS, two unknown analytes (catechin gallate and gallocatechin gallate) of the tea samples were identified. Chemometric processing of the characteristic profiles of polyphenols by the principal component analysis ( PCA ) was accomplished. On the scores plot for the first and second principal components, there is a separation of data into two clusters (selection and Greenfield teas) relative to the first principal component ( PC-1 ). Analysis of the PC-1 loadings plot revealed the dominant analytes (gallic acid, gallocatechin, caffeine, epigallocatechin gallate and epicatechin gallate), which determine the differences between green teas samples. PCA-model separately for the profiles only selections teas was built. Analysis of the plot of scores relative to the first two principal components made it possible to detect the dependence of the concentration of polyphenols and caffeine in selections tea leafs on harvest season. A possible correlation has been established between PC-2 and harvest time, but this requires further research.

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绿茶中多酚类抗氧化剂的测定。特征色谱谱图

建立了双阵列反相高效液相色谱法(RP HPLC- dad)和质谱法(RP HPLC/MS)分离多酚和咖啡因的条件。利用该技术获得了29份绿茶样品(其中11份由索契全俄花卉和亚热带作物研究所提供)的色谱图谱。采用高效液相色谱/质谱联用技术，对两种未知分析物(儿茶素没食子酸酯和没食子儿茶素没食子酸酯)进行了鉴定。用主成分分析(PCA)对多酚类化合物的特征谱进行了化学计量处理。在第一主成分和第二主成分的得分图上，相对于第一主成分(PC-1)，数据被分离成两个聚类(selection和Greenfield tea)。对PC-1负载图的分析揭示了优势分析物(没食子酸、没食子儿茶素、咖啡因、没食子儿茶素没食子酸酯和表儿茶素没食子酸酯)，这决定了绿茶样品之间的差异。分别为这些概要文件建立了pca模型，只选取了一些茶叶。通过对前两个主成分的得分曲线的分析，可以检测出茶叶中多酚和咖啡因的浓度与收获季节的关系。PC-2与收获时间之间可能存在关联，但这需要进一步研究。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Analitika i Kontrol Chemistry-Analytical Chemistry

CiteScore

0.90

自引率

0.00%

发文量

期刊介绍： Analitika i Kontrol is a scientific journal covering theoretical and applied aspects of analytical chemistry and analytical control, published since autumn 1997. Founder and publisher of the journal is the Ural Federal University named after the first President of Russia Boris Yeltsin (UrFU, Ekaterinburg).