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Determination and quality evaluation of green tea extracts through qualitative and quantitative analysis of multi-components by single marker (QAMS)

机译:通过单一标记(QAMS)对多组分进行定性和定量分析,从而测定和评估绿茶提取物

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摘要

The quality of tea is mainly attributed to tea polyphenols and caffeine. In this paper, a new strategy for quality evaluation of green tea extracts was explored and verified through qualitative and quantitative analysis of multi-components by single marker (QAMS). Taguchi Design was introduced to evaluate the fluctuations of the relative conversion factors (f(x)) of tea catechins, gallic acid and caffeine to epigallocatechin gallate. The regression model (Sig. = 0.000) and the deviations (R-2 > 0.999) between QAMS and normal external standard method proved the consistency of the two methods. Hierarchical cluster analysis and canonical discriminant analysis were employed to classify 26 batches of commercial Longjing green tea extracts (LJGTEs) collected from different producers. The results showed a significant difference in component profile between the samples from different origins. The QAMS method was verified to be an alternative and promising method to comprehensively and effectively control the quality of LJGTEs from different origins. (C) 2015 Elsevier Ltd. All rights reserved.
机译:茶的质量主要归因于茶多酚和咖啡因。本文研究了一种新的绿茶提取物质量评估策略,并通过单标记(QAMS)对多组分进行定性和定量分析。引入Taguchi设计来评估茶儿茶素,没食子酸和咖啡因对表没食子儿茶素没食子酸酯的相对转化因子(f(x))的波动。 QAMS与正常外标方法之间的回归模型(Sig。= 0.000)和偏差(R-2> 0.999)证明了这两种方法的一致性。运用层次聚类分析和典型判别分析对从不同生产商收集的26批商业龙井绿茶提取物(LJGTE)进行分类。结果表明,不同来源的样品之间的成分分布存在显着差异。验证了QAMS方法是全面有效地控制来自不同来源的LJGTE的质量的替代方法和有希望的方法。 (C)2015 Elsevier Ltd.保留所有权利。

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