目的 通过HPLC多成分含量测定与指纹图谱的多模式化学识别方法对地榆Sanguisorba officinalis进行不同产地质量分析研究，为地榆质评质控体系的构建及其潜在质量标志物的探索提供参考和依据。方法 采用HPLC法建立10批不同产地地榆指纹图谱，测定地榆中的7个有效成分含量；使用SPSS 21.0软件对地榆进行聚类分析（hierarchical cluster analysis，HCA）、主成分分析（principal component analysis，PCA），使用SIMCA 14.0软件对地榆进行正交偏最小二乘法-判别分析（orthogonal partial least squares-discriminant analysis，OPLS-DA）。结果 建立了10批不同产地地榆药材的指纹图谱，相似度为0.816～0.976，共标定20个共有峰，指认了7个成分（没食子酸、儿茶素、表儿茶素、没食子酸乙酯、金丝桃苷、鞣花酸、槲皮素），含量测定结果表明不同产地地榆中化学成分含量存在显著差异。HCA分析结果显示，当欧氏距离为4时，将10批地榆分为3类；PCA提取了3个主成分，累积方差贡献率为91.98%，说明3个主成分在反映不同产地地榆样品共有成分关系中起主导作用。OPLS-DA结果表明，金丝桃苷、没食子酸、儿茶素可能是影响不同产地地榆药材质量的差异标志物。结论 通过建立地榆HPLC指纹图谱及7个成分含量测定，结合化学模式识别法评价了不同产地地榆药材质量，为地榆质量标准的研究及其潜在质量标志物的研究提供依据。

Objective To analyse the quality of Sanguisorba officinalis from different origins by HPLC multi-component determination and fingerprint multi-mode chemical recognition method, and to provide a reference and basis for the construction of a quality control system for the quality assessment of S. officinalis and the exploration of its potential quality markers. Methods The fingerprints of 10 batches of S. officinalis from different origins were established by HPLC method, and the contents of seven active ingredients in S. officinalis were determined; SPSS 21.0 software was used to carry out hierarchical cluster analysis (HCA), principal component analysis (PCA) and orthogonal partial least squares-discriminant analysis (OPLS-DA) was performed using SIMCA 14.0 software. Results The fingerprints of 10 batches of S. officinalis medicinal herbs from different origins were established, and the similarity ranged from 0.816 to 0.976. A total of 20 common peaks were calibrated, and seven constituents (gallic acid, catechine, epicatechin, ethyl gallate, hyperoside, ellagic acid, quercetin) were identified, and the results of the content determination showed that there were significant differences in the contents of chemical components in S. officinalis from different origins. HCA showed that the 10 batches of S. officinalis were classified into three categories when the Euclidean distance was four. Three principal components were extracted from the PCA, and the cumulative variance contribution rate was 91.98%, indicating that the three principal components played a dominant role in reflecting the relationship between the shared components of the S. officinalis samples from different origins. The results of OPLS-DA analysis indicated that chrysin, gallic acid and catechin might be the differential markers affecting the quality of the S. officinalismedicinal herbs from different origins. Conclusion The quality of the S. officinalis medicinal herbs from different origins was evaluated by the establishment of HPLC fingerprints and the determination of the contents of the seven components, combined with the chemical pattern recognition method, which could provide a basis for the study of the quality standard of S. officinalis and its potential quality markers.

R286.2

国家自然科学基金资助项目（81772491）;湖北省技术创新专项（重大项目）（2016ACA146）