摘要
目的通过建立洋常春藤及其栽培品种中皂苷类化合物的HPLC-UV指纹图谱,采用聚类分析和主成分分析方法进行统计学分析研究,同时结合标定化合物的测定,以期为常春藤属植物的药用质量评价提供参考。方法 Unitary C18色谱柱(250mm×4.6 mm,5μm);流动相为乙腈(A)-0.2%磷酸水溶液(B);二元高压梯度洗脱;检测波长205 nm;体积流量1 m L/min;进样量20μL;柱温25℃。结果采用"中药色谱指纹图谱相似度评价软件(2004A)"标定了17份常春藤属样品的12个共有指纹峰,计算其相似度在0.715~0.992;通过聚类分析和主成分分析结果初步判断洋常春藤的综合药用质量要优于其他品种。结论建立的方法能够成功应用于筛选高质量的常春藤原料以及进行洋常春藤及其栽培品种药材的质量评价与控制,同时可为制定洋常春藤及其栽培品种药用质量评价研究提供新的参考依据。
Objective Through establishing the HPLC-UV fingerprint of saponins from the plants of varieties of Hedera helix L., using cluster and principal component analysis methods to do statistical analysis and combining with the determination of the calibration compound to provide a reference for the medicinal quality evaluation on the plants of varieties of Hedera helix L. Methods The chromatographic separation was performed on Unitary C18 column(250 mm × 4.6 mm, 3 μm); The mobile phase was a mixture of acetonitrile-0.2% phosphoric acid solution; The elution mode was binary high pressure gradient system; The detection wavelength was 205 nm; The flow rate was 1 m L/min; The injection volume was 20 μL and the column temperature was 25 ℃. Results Using the similarity evaluation system for chromatographic fingerprint of Chinese materia medica to calibrate 12 common peaks of 17 samples of varieties of Hedera helix L. and calculate their similarity between 0.715—0.992; The preliminary results is that the medicinal quality of ivy is better than the other varieties of varieties of Hedera helix L. by analysis of cluster and principal component. Conclusion The HPLC-UV fingerprint can be used to screen the high quality raw materials of varieties of Hedera helix L. and do the quality evaluation and control, in the meantime, it can be used to provide a new reference of studying on the medicinal quality evaluation for the plants of varieties of Hedera helix L.
出处
《中草药》
CAS
CSCD
北大核心
2015年第18期2794-2799,共6页
Chinese Traditional and Herbal Drugs
基金
湖南省研究生科研创新项目(CX2014B290)
湖南省科技计划重点项目(2012FJ4565)
关键词
洋常春藤
皂苷类化合物
指纹图谱
聚类分析
主成分分析
药用质量评价
Hedera helix L.
saponins
fingerprint
cluster analysis
principal component analysis
medicinal quality evaluation