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。
Abstract
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.
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
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Key words
processed Aconitum sinomontanum Nakai /
fingerprint /
principal component analysis /
cluster analysis /
different area /
lappacontine /
ranaconitine
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中图分类号：
R284
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参考文献
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脚注
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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)
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