蒙药三子散HPLC指纹图谱结合化学模式识别研究  

Study on HPLC fingerprint and chemical pattern recognition of Mongolian medicine Sanzisan

作　　者：刘妍妍 张慧文 白云霞[2] 刘宏 夏慧敏 久欣 王焕芸 LIU Yanyan;ZHANG Huiwen;BAI Yunxia;LIU Hong;XIA Huimin;JIU Xin;WANG Huanyun(School of Pharmacy,Inner Mongolia Medical University,Hohhot 010110,China;Baotou Medical College,Inner Mongolia University of Science and Technology,Inner Mongolia Baotou 014010,China)

机构地区：[1]内蒙古医科大学药学院,呼和浩特010110 [2]内蒙古科技大学包头医学院,内蒙古包头014010

出　　处：《中国药房》2022年第3期319-325,共7页China Pharmacy

基　　金：内蒙古自治区科技计划项目(No.2021GG0176);内蒙古自治区自然科学基金项目(No.2019MS08157);内蒙古自治区高等学校科学研究项目(No.NJZZ19089)。

摘　　要：目的建立蒙药三子散高效液相色谱(HPLC)指纹图谱,通过化学模式识别方法综合评价其内在质量。方法采用HPLC法,以京尼平苷色谱峰为参照峰,采用《中药色谱指纹图谱相似度评价系统(2012版)》绘制15批三子散的HPLC指纹图谱并进行相似度评价,标定并指认共有峰。结合聚类分析、主成分分析和正交偏最小二乘法-判别分析对15批三子散的指纹图谱进行质量评价,筛选影响其质量的差异性标志物。结果 15批三子散中共有29个共有峰,相似度均不低于0.952,表明15批三子散的化学组成一致性较好;共指认了诃子次酸、没食子酸、石榴皮鞣素、安石榴苷A、安石榴苷B、jasminoside B、咖啡酸、柯里拉京、京尼平苷、诃子鞣酸、1,2,3,4,6-O-没食子酰葡萄糖、诃子林鞣酸、鞣花酸13个共有峰。聚类分析与主成分分析均可将15批三子散分为4类,且分类结果一致,表明15批三子散的质量存在一定差异;结合正交偏最小二乘法-判别分析筛选出导致批次间质量差异的14个差异性标志物(诃子次酸、没食子酸、鞣花酸等)。结论建立的HPLC指纹图谱分析方法简便、稳定,结合化学模式识别分析可用于三子散的质量控制。OBJECTIVE To establish the HPLC fingerprint of Mongolian medicine Sanzisan,and to evaluate its internal quality by chemical pattern recognition technique comprehensively. METHODS HPLC method was used. Using geniposide as reference,HPLC fingerprints of 15 batches of Sanzisan were drawn with Similarity Evaluation System of TCM Chromatogram Fingerprint(2012 edition). Similarity evaluation and common peaks identification were conducted. Combined with cluster analysis(CA),principal component analysis(PCA),and orthogonal partial least squares-discriminant analysis(OPLS-DA),the quality of15 batches of Sanzisan was evaluated,and the differential markers that affected its quality were screened. RESULTS There were 29 common peaks in 15 batches of Sanzisan,and the similarity was no less than 0.952,indicating that the chemical composition of the 15 batches of Sanzisan had good consistency. A total of 13 common peaks were identified,which were chebulic acid,gallic acid,punicalin,punicalagin A,punicalagin B,jasminoside B,caffeic acid,corilagin,geniposide,chebulagic acid,1,2,3,4,6-O-galloylglucose,chebulinic acid,ellagic acid. Both CA and PCA could divide 15 batches of Sanzisan into four categories,and the classification results were consistent,indicating that the quality of 15 batches of Sanzisan had certain differences. Fourteen differential markers(chebulic acid,gallic acid,ellagic acid,etc)that lead to the quality difference between batches were screened out by OPLS-DA. CONCLUSIONS Established HPLC fingerprint analysis method is simple and stable. Combined with chemical pattern recognition analysis,it can be used for the quality control of Sanzisan.

关 键 词：三子散 高效液相色谱法 指纹图谱 相似度评价 化学模式识别 聚类分析 主成分分析 正交偏最小二乘法-判别分析 质量控制 

分 类 号：R917[医药卫生—药物分析学]