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首页> 外文期刊>Journal of Chromatographic Science >Chemical Fingerprint and Quantitative Analysis for the Quality Evaluation of Docynia dcne Leaves by High-Performance Liquid Chromatography Coupled with Chemometrics Analysis
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Chemical Fingerprint and Quantitative Analysis for the Quality Evaluation of Docynia dcne Leaves by High-Performance Liquid Chromatography Coupled with Chemometrics Analysis

机译:化学液相色谱与化学计量分析,Copynia DCNe叶质量评价的化学指纹和定量分析

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摘要

Docynia dcne leaf from the genus of Docynia Dcne *(including three species of Docynia delavayi, Docynia indica and Docynia longiunguis.) is an important raw material of local ethnic minority tea, ethnomedicines and food supplements in southwestern areas of China. However, D. dcne leaves from these three species are usually used confusingly, which could influence the therapeutic effect of it. A rapid and effective method for the chemical fingerprint and quantitative analysis to evaluate the quality of D. dcne leaves was established. The chemometric methods, including similarity analysis, hierarchical cluster analysis and partial least-squares discrimination analysis, were applied to distinguish 30 batches of D. dcne leaf samples from these three species. The above results could validate each other and successfully group these samples into three categories which were closely related to the species of D. dcne leaves. Moreover, isoquercitrin and phlorizin were screened as the chemical markers to evaluate the quality of D. dcne leaves from different species. And the contents of isoquercitrin and phlorizin varied remarkably in these samples, with ranges of 6.41-38.84 and 95.73-217.76mg/g, respectively. All the results indicated that an integration method of chemical fingerprint couple with chemometrics analysis and quantitative assessment was a powerful and beneficial tool for quality control of D. dcne leaves, and could be applied also for differentiation and quality control of other herbal preparations.
机译:来自Docynia Dcne *(包括三种Docynia Delavayi,Docynia Indica和Docynia Longiunguis)的Docynia Dcne叶。然而,D. DCNE从这三种物种中的叶片通常会使混淆,这可能影响它的治疗效果。建立了一种快速有效的化学指纹和定量分析,以评价D. DCNE叶子的质量。化学计量方法,包括相似性分析,分层聚类分析和局部最小二乘鉴别分析,以区分来自这三种物种的30批D.DCNE叶样品。上述结果可以互相验证,并成功将这些样本分为三类与D. DCNE叶片密切相关的三类。此外,筛选异喹硫序和氯嗪作为化学标记物,以评估来自不同物种的D. dcne叶的质量。并且异喹啉和甘油蛋白的含量显着在这些样品中变化,范围为6.41-38.84和95.73-217.76mg / g。所有结果表明,化学指纹耦合与化学计量分析和定量评估的一体化方法是D. DCNE叶子的质量控制的强大和有益的工具,也可以应用于其他草药制剂的分化和质量控制。

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    Sichuan Normal Univ Coll Life Sci Inst Food Funct &

    Proc Applicat Chengdu 610101 Sichuan Peoples R China;

    Sichuan Normal Univ Coll Life Sci Inst Food Funct &

    Proc Applicat Chengdu 610101 Sichuan Peoples R China;

    Chengdu Univ Sch Med &

    Nursing Metabon Synergy Innovat Lab Chengdu 610106 Sichuan Peoples R China;

    Sichuan Normal Univ Coll Life Sci Inst Food Funct &

    Proc Applicat Chengdu 610101 Sichuan Peoples R China;

    Sichuan Normal Univ Coll Life Sci Inst Food Funct &

    Proc Applicat Chengdu 610101 Sichuan Peoples R China;

    Chengdu Univ Tradit Chinese Med Sch Pharm Chengdu 610730 Sichuan Peoples R China;

    Chengdu Univ Tradit Chinese Med Sch Pharm Chengdu 610730 Sichuan Peoples R China;

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  • 正文语种 eng
  • 中图分类 分析化学;
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