详细信息

高乌头炮制品HPLC指纹图谱建立及质量研究     被引量:3

HPLC Fingerprints and Quality Control of Processed Aconitum sinomontanum Nakai

文献类型:期刊文献

中文题名:高乌头炮制品HPLC指纹图谱建立及质量研究

英文题名:HPLC Fingerprints and Quality Control of Processed Aconitum sinomontanum Nakai

作者:张立军[1];戴海蓉[1];樊秦[2];姚娟[1];李芸[1]

第一作者:张立军

机构:[1]甘肃中医药大学;[2]甘肃省中藏药化学与质量研究省级重点实验室

第一机构:甘肃中医药大学

年份:2017

卷号:52

期号:22

起止页码:2035

中文期刊名:中国药学杂志

外文期刊名:Chinese Pharmaceutical Journal

收录:CSTPCD;;Scopus;北大核心:【北大核心2014】;CSCD:【CSCD2017_2018】;PubMed;

基金:国家自然科学基金资助项目(81560650);甘肃省自然基金资助项目(1107RJZA242)

语种:中文

中文关键词:高鸟头炮制品;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

外文关键词:processed Aconitum sinomontanum Nakai ; fingerprint ; principal component analysis ; cluster analysis ; different area ; lappacontine ; ranaconitine

摘要:目的建立统一条件的色谱指纹图谱鉴别和含量测定分析方法,用于不同产区高乌头炮制品的质量研究。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。
OBJECTIVE To establish the fingerprint identification and assay for the quality analysis of processed Aconitum sinomontanum Nakai from different areas. METHODS HPLC Gradient elution method was developed to establish the fingerprints for processed Aconitum sinomontanum Nakai, and the fingerprints were analyzed and compared by Chinese Materia Medica (CMM) Fingerprint Similarity Evaluation System (2012 edition), principal component analysis (PCA) and cluster analysis (CA). RESULTS The common fingerprint for processed Aconitum sinomontanum Nakai fingerprints was established, and 18 common fingerprint peaks were identified. The similarity was greater than 0.90 among 10 batches of processed Aconitum sinomontanum Nakai medicinal herbs, and the contents of lappacontine and ranaconitine were determined. The samples from different areas could be classified into four groups, which reflected the quality characteristics of 10 batches of processed Aconitum sinomontanum Nakai from different areas. Four main components with cumulative contribution rate of 88.824% were selected by PCA, and seven chemical components were identified as the ones to determine the quality of processed Aconitum sinomontanum Nakai. CONCLUSION This method, with good reproducibility and strong characteristics, can be used for the comprehensive quality evaluation of processed Aconitum sinomontanum Nakai.

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