基于HPLC指纹图谱和多成分定量的玄参质量评价研究

Quality evaluation of Scrophularia ningpoensis based on HPLC fingerprint and multi-component content determination

目的建立玄参Scrophularia ningpoensis的HPLC指纹图谱及多成分定量测定方法。方法采用HPLC法建立浙江、湖北、四川、安徽等9个省份116批玄参指纹图谱,进行相似度评价,结合聚类分析(hierarchical cluster analysis,HCA)、正交偏最小二乘法-判别分析(orthogonal partial least squares-discriminant analysis,OPLS-DA)对玄参进行化学模式识别分析。同时对8个活性成分(桃叶珊瑚苷、哈巴苷、咖啡酸、对香豆酸、阿魏酸、类叶升麻苷、安格洛苷C、哈巴俄苷)进行含量测定,分析其与生境因子的相关性。结果建立了116批玄参的指纹图谱,相似度为0.746~0.997,共标定34个共有峰。聚类分析将116批玄参分为4类,OPLS-DA分析能有效地将3个传统道地产区玄参与非道地产区玄参进行区分(Q2>0.5)。不同产地玄参中化学成分含量存在差异,与海拔、经纬度存在相关性。结论建立的玄参HPLC指纹图谱及多成分含量分析方法稳定、可靠,结合化学识别模式可为玄参药材的产地判别及质量评价提供参考。

Objective To establish the HPLC fingerprint and multi-component content determination method of Scrophularia ningpoensis from different origins.Methods The fingerprints of 116 S.ningpoensis samples from nine provinces,including Zhejiang,Hubei,Sichuan,Anhui,Henan,Hunan,Shanxi,Chongqing and Shandong,were established by high performance liquid chromatography(HPLC),while their similarity was evaluated.Chemical pattern recognition of S.ningpoensis was studied by hierarchical cluster analysis(HCA)and orthogonal partial least squares-discriminant analysis(OPLS-DA).The contents of eight active ingredients were determined and their correlation with habitat factors was analyzed.Results The fingerprints of 116 S.ningpoensis samples were established with similarities ranged from 0.746 to 0.997,and a total of 34 common peaks were identified.According to HCA,the samples were divided into four groups,and OPLS-DA can be used in distinguishing three traditional production origins of S.ningpoensis from non-traditional production origins(Q2>0.5).There were differences in the chemical component contents of S.ningpoensis from different production origins,while the contents were correlated with altitude,latitude and longitude.Conclusion The HPLC fingerprint combined with the simultaneous determination of multi-component content analysis method established in this study is stable and reliable.The fingerprint combined with the chemical pattern recognition can provide a basis for the identification of origins and quality evaluation of S.ningpoensis.