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高乌头炮制品的HPLC指纹图谱研究及其2种生物碱成分含量测定
引用本文:张立军,李芸,戴海蓉,樊秦,姚娟.高乌头炮制品的HPLC指纹图谱研究及其2种生物碱成分含量测定[J].中国现代应用药学,2018,35(1):57-62.
作者姓名:张立军  李芸  戴海蓉  樊秦  姚娟
作者单位:甘肃中医药大学,甘肃中医药大学,甘肃省中藏药化学与质量研究省级重点实验室,甘肃中医药大学,甘肃中医药大学
基金项目:国家自然科学(81560650);
摘    要:目的 建立不同产区高乌头炮制品的HPLC指纹图谱,并测定2种生物碱成分的含量,为高乌头制品质量控制提供参考依据。方法 通过HPLC梯度洗脱建立高乌头炮制品的指纹图谱,并采用中药指纹图谱相似度评价系统(2012版)、主成分分析(PCA)和聚类分析(CA)对指纹图谱进行分析。结果 建立了高乌头炮制品指纹图谱,10批高乌头制品的相似度均大于0.90,标定共有峰18个,并对其中2主要成分(高乌甲素、冉乌头碱)进行含量测定;聚类分析(CA)将所有批次高乌头制品分为4类,反映了10批不同产区高乌头制品的质量特征;主成分分析(PCA)筛选出累计贡献率达到88.824%的4个主成分,得到决定高乌头药材质量7个化学成分。结论 该方法重现性好、特征性强可用于高乌头炮制品全面质量评价。

关 键 词:高乌头炮制品  指纹图谱  主成分分析  聚类分析  不同产区  高乌甲素  冉乌头碱
收稿时间:2017/3/6 0:00:00
修稿时间:2017/12/27 0:00:00

HPLC Fingerprints Analysis of Processed Aconitum Sinomontanum Nakai and Determination of the Contents of Two Alkaloids
ZHANG Lijun,LI Yun,DAI Hairong,FAN Qin and YAO Juan.HPLC Fingerprints Analysis of Processed Aconitum Sinomontanum Nakai and Determination of the Contents of Two Alkaloids[J].The Chinese Journal of Modern Applied Pharmacy,2018,35(1):57-62.
Authors:ZHANG Lijun  LI Yun  DAI Hairong  FAN Qin and YAO Juan
Institution:Gansu University of TCM,Lanzhou Gansu,Gansu University of TCM,Lanzhou Gansu,Provincial-Level Key Laboratory for Tibet Herbal Chemicals and Quality Research in Gansu Colleges and Universities,Lanzhou Gansu,Gansu University of TCM,Lanzhou Gansu,Gansu University of TCM,Lanzhou Gansu
Abstract:Objective To establish the high performance liquid chromatography (HPLC) fingerprint of processed Aconitum sinomontanum Nakai from different areas, and determination of the contents of two alkaloids, in order to evaluate the quality of the preparation. Methods HPLC gradient elution method were developed to establish fingerprints for processed Aconitum sinomontanum Nakai, and the fingerprint were analyzed and compared by Chinese Materia Medica (CMM) Fingerprint Similarity Evaluation System (2012 edition), principle component analysis (PCA) and cluster analysis (CA). Results The common mode for processed Aconitum sinomontanum Nakai fingerprints was established, the similarity was greater than 0.90 in 10 batches of processed Aconitum sinomontanum Nakai medicinal herbs, and 18 common fingerprint peaks were identified, and determination the content of lappacontine and ranaconitine. The different areas of samples can be classified into four groups, it reflects the quality characteristics of 10 batches of processed Aconitum sinomontanum Nakai from different areas. Select cumulative contribution rate of 88.824% of the four main components by PCA, to determine the quality of processed Aconitum sinomontanum Nakai seven chemical composition. Conclusion This method with good reproducibility, and strong characteristic, and could be used for the full quality evaluation of processed Aconitum Sinomontanum Nakai.
Keywords:processed Aconitum Sinomontanum Nakai  Fingerprint  Principle Component Analysis  Cluster Analysis  Different Areas  Lappacontine  Ranaconitine
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