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基于牛舌草指纹图谱的多指标成分相对定量与鉴别方法
引用本文:楚刚辉,木合塔尔&#,吐尔洪,尹学博,木尼热&#,阿布都克力木.基于牛舌草指纹图谱的多指标成分相对定量与鉴别方法[J].色谱,2016,34(9):901-905.
作者姓名:楚刚辉  木合塔尔&#  吐尔洪  尹学博  木尼热&#  阿布都克力木
作者单位:新疆特色药食用植物资源化学重点实验室, 喀什大学化学与环境科学学院, 新疆 喀什 844006
基金项目:新疆维吾尔自治区重点实验室开放课题(2015KL030).
摘    要:色谱指纹图谱法在中草药产地鉴别或中成药鉴别中发挥着重要作用,然而色谱峰强度和位置易受目标物提取和分离条件的影响,发展更加准确的指纹图谱具有重要意义。该文以色谱峰中某一个常见组分(芦丁)作为内标,分析其他组分的相对含量,以相对含量作为指纹图谱信息,结合化学模式识别可以精确给出产地的相似度。以牛舌草的液相色谱指纹图谱指纹峰为例,以其中芦丁的组分峰作为基准峰,其他指纹峰以芦丁为参照,计算每个指纹峰以芦丁计的含量,建立了牛舌草的指纹图谱。将获得的相对含量指纹图谱采用系统聚类分析和主成分分析进行化学模式识别研究,实现了不同产地牛舌草的区分。该方法建立了牛舌草多指标成分的相对定量与鉴别方法,既节省资源,又具有可操作性,对于其他中药或中成药的质量控制具有一定的借鉴意义。

关 键 词:指纹图谱  定量方法  化学模式识别  牛舌草
收稿时间:2016-05-17

Relative multicomponent quantitative and identification method of bugloss based on the fingerprint
CHU Ganghui,MUHETAER&#,Tu'erhong,YIN Xuebo,MUNIRA&#,Abudukeremu.Relative multicomponent quantitative and identification method of bugloss based on the fingerprint[J].Chinese Journal of Chromatography,2016,34(9):901-905.
Authors:CHU Ganghui  MUHETAER&#  Tu'erhong  YIN Xuebo  MUNIRA&#  Abudukeremu
Institution:Xinjiang Laboratory of Native Medicinal and Edible Plant Resources Chemistry, College of Chemistry and Environmental Science, Kashgar University, Kashgar 844006, China
Abstract:Chromatographic fingerprint plays a key role in the identification of habitat for Chinese herbs or Chinese patent medicines. However, peaks' intensities and positions can be affected by the extraction and separation conditions of target, and it is very significant to develop a more precise fingerprint. The certain component (rutin) as the internal standard was used to confirm the relative contents of other components, which was applied in chemical pattern recognition. To verify the idea, according to the peak of rutin as reference, the relative contents of the other defined fingerprint peaks were obtained. A multicomponent quantitative and identification method was established by the fingerprint of bugloss. The obtained fingerprints were used for the chemical pattern recognition, including hierarchical cluster analysis and the principal component analysis, and the bugloss collected from different places could be distinguished effectively. A relative multicomponent quantitative and identification method for bugloss was established. The established method is economic, feasible, and significant for quality control of other herbs and patent medicines.
Keywords:fingerprint  quantitative method  chemical pattern recognition  bugloss
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