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南、北五味子药材的HPLC指纹图谱建立及化学模式识别分析
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篇名: 南、北五味子药材的HPLC指纹图谱建立及化学模式识别分析
TITLE: Establishment of HPLC Fingerprint of Schisandra sphenanthera and S. chinensis and Analysis of Chemical Pat- tern Recognition
摘要: 目的:建立南、北五味子药材的高效液相色谱(HPLC)指纹图谱,并进行化学模式识别分析。方法:采用HPLC法,以五味子甲素为参照,绘制南、北五味子各10批样品(编号分别为N1~N10、S1~S10)的HPLC指纹图谱;采用《中药色谱指纹图谱相似度评价系统(2012版)》进行相似度评价,确定共有峰;采用SPSS20.0和SIMCA14.1App进行聚类分析(HCA)、无监督模式主成分分析(PCA)、有监督模式正交偏最小二乘法-判别分析(OPLS-DA);以变量重要性投影值(VIP)大于1为标准,筛选影响南、北五味子质量的差异标志物。结果:南、北五味子分别指认出32、33个共有峰;10批南五味子和10批北五味子的相似度均大于0.9,南、北五味子的相似度为0.50;南、北五味子共有19个共有特征峰,共指认出其中的5个,即五味子醇甲、五味子醇乙、五味子酯甲、五味子甲素、五味子乙素。HCA结果显示,N1~N10聚为一类,S1~S10聚为一类,其中N1、N3、N8、N9聚为一类,其余聚为一类;S1、S3、S6、S9聚为一类,其余聚为一类。无监督模式PCA结果显示,前2个主成分因子的累积方差贡献率为87.19%。有监督模式OPLS-DA结果显示,五味子甲素、五味子醇甲、五味子酯甲、五味子乙素为影响南、北五味子药材质量的差异标志物(VIP值分别为2.29、2.24、1.73、1.48)。结论:本研究所建立南、北五味子HPLC指纹图谱准确、科学、简便易行,结合多元统计分析可用于评价南、北五味子药材的质量。南、北五味子成分有所不同,五味子甲素等为差异标志物。
ABSTRACT: OBJECTIVE:To establish HPLC fingerprint of Schisandra sph enanthera and S. chinensis,and to analyze chemical pattern recognition. METHODS :HPLC method was adopted. Using schizandrin A as reference ,HPLC fingerprints of 10 batches of S. sphenanthera and S. chinensis (N1-N10,S1-S10) were drawn. Similarity Evaluation System of TCM Chromatographic Fingerprint(2012 edition)was adopted for similarity evaluation to determine the common peaks. SPSS 20.0 and SIMCA 14.1 software were used for HCA ,unsupervised madel of PCA ,supervised model of OPLS-DA. Using variable importance projection (VIP)value greater than 1 as the standard ,the differential markers that affected the quality of S. sphenanthera and S. chinensis were screened. RESULTS :S. sphenanthera and S. chinensis were identified 32 and 33 common peaks ,respectively. The similarity of 10 batches of S. sphenanthera and 10 batches of S. chinensis were all higher than 0.9,and the similarity of S. sphenanthera and S. chinensis was 0.05. A total of 19 characteristics peaks were identified ,among which five common peaks were identified as schisandraol A ,schisandraol B ,schisantherin A ,schizandrin A and schisandrin B by reference. HCA results showed that N 1-N10 were clustered into one category ,and S 1-S10 were clustered into one category ,of which N 1,N3,N8,and N 9 were clustered into one category ,and the rest were clustered into one category ;S1,S3,S6,and S 9 were grouped together ,and the rest were grouped together. The results unsupervised model of PCA showed that the cumulative variance contribution rate of the first two principal component factors was 87.20%. Supervised model of OPLS-DA showed that schizandrin A ,schisandraol A ,schisantherin A and schisandrin B were the differential markers that affected 、the quality of S. sphenanthera and S. chinensis (VIPs were 2.29,2.24,1.73,1.48,respectively). CONCLUSIONS :The established fingerprint is accurate ,scientific,simple and easy to use ,combined with multivariate statistical analysis can be 话:0395-3356116。E-mail:wangrui56116@163.com used to evaluate the quality of S. sphenantherae and S. chinensis. The components of S. sphenanthera and S. chinensis were different ,schisanolrin A is differential marker.
期刊: 2020年第31卷第18期
编辑: 郭丽,杨忠杰,于晓涛,贾陆,金少举,王瑞
AUTHORS: GUO Li,YANG Zhongjie ,YU Xiaotao ,JIA Lu,JIN Shaoju ,WANG Rui
关键字: 南五味子;北五味子;高效液相色谱法;指纹图谱;聚类分析;主成分分析;正交偏最小二乘法-判别分析;差异标志物
KEYWORDS: Schisandra sphenanthera ;Schisandra chinensis;HPLC;Fingerprint;HCA;PCA;OPLS-DA;Differential
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