3种獐牙菜属民族药UPLC指纹图谱研究

发布时间：2019-07-29 10:45

【摘要】：目的采用UPLC技术结合定量分析、系统聚类分析(HCA)和主成分分析(PCA),评价、鉴别3种民族药用植物川东獐牙菜Swertia davidii、狭叶獐牙菜S.angustifolia和紫红獐牙菜S.punicea Hemsl.。方法采集3种獐牙菜共27株样品色谱图,将色谱图导入中药色谱指纹图谱相似度评价系统软件,确定样品保留时间和峰面积数据,对3组样品进行相似度分析。峰面积数据导入SPSS和SIMCA-P~+软件进行HCA和PCA,从树状图和主成分得分图中判断聚类效果。结果该方法线性关系良好(R~20.999 3,仪器精密度高(RSD为0.19%~2.45%),方法重现性好(RSD为0~1.77%),加样回收率在95.8%~102.3%,RSD为0.45%~2.81%。不同物种獐牙菜植物中指示化合物的量差异大,同一物种不同个体中指示化合物量差异明显。獐牙菜苦苷在川东獐牙菜中为0.54~10.05 mg/g,狭叶獐牙菜中未检出,紫红獐牙菜中为1.76~15.62 mg/g;龙胆苦苷在川东獐牙菜中为4.27~11.18 mg/g,狭叶獐牙菜中为0.26~3.58 mg/g,紫红獐牙菜中为1.13~16.11 mg/g;当药苷在川东獐牙菜中为0.02~0.28 mg/g,狭叶獐牙菜中为0.02~0.14 mg/g,紫红獐牙菜中为0.11~44.52 mg/g;芒果苷在川东獐牙菜中为0.14~0.55 mg/g,狭叶獐牙菜中为0.03~0.04 mg/g,紫红獐牙菜中为0.01~13.49 mg/g。HCA树状图分类准确率为85.2%,误判的紫红獐牙菜样品中化合物量较低。PCA得分图可以区分3种獐牙菜,紫红獐牙菜聚类效果分散,个体之间差异较大。结论采用UPLC技术分析指示化合物的量,结合化学计量学能够评价和鉴别3种獐牙菜属药用植物。在本研究中,紫红獐牙菜表现出更高的药用价值。
[Abstract]:Objective To use the UPLC technique to combine quantitative analysis, systematic cluster analysis (HCA) and principal component analysis (PCA) to evaluate and identify the three ethnic medicinal plants, such as Swertia davidii, S. angustifolia and S. panicea Hemsl. Methods A total of 27 samples were collected from three kinds of dishes. The chromatogram was introduced to the similarity evaluation system software of the fingerprint of the traditional Chinese medicine. The retention time and peak area data of the samples were determined, and the similarity of the three samples was analyzed. Peak area data was imported into SPSS and SIMA-P ~ + software for HCA and PCA, and the clustering effect was judged from the tree view and the main component score map. Results The linear relationship of the method is good (R-20.999 3, the precision of the instrument is high (the RSD is 0.19%-2.45%), the reproducibility of the method is good (RSD is 0-1.77%), the recovery rate of the sample is 95.8%-102.3%, and the RSD is 0.45%-2.81%. The difference in the amount of the indicated compounds in the plants of the different species was large, and the amount of the compound indicated in the different individuals of the same species was significant. 0.54-10.05mg/ g, 0.54-10.05mg/ g, 1.76-15.62mg/ g, and 1.76-15.62mg/ g in the tarragmus viola, 0.26-3.58mg/ g in the tarragmus, and 1.13-16.11 mg/ g in the tarragmus violaceum, and 0.02-0.28 mg/ g in the tarragon in the eastern Sichuan province. 0.02-0.14 mg/ g, 0.11-44.52 mg/ g, and 0.03-0.04mg/ g, and 0.01-13.49 mg/ g. The classification accuracy of HCA tree-tree was 85.2%. The PCA score map can be used to distinguish three kinds of tarragon, and the clustering effect of the purple-red and red-rooted vegetables is different, and the difference between the individual and the individual is large. Conclusion UPLC technique is used to analyze the amount of the indicated compound, and the combination of chemometrics can be used to evaluate and identify three kinds of Chinese medicinal plants. In this study, the purple and red-tooth dish showed higher medicinal value.
【作者单位】：吉首大学生物资源与环境科学学院;云南省农业科学院药用植物研究所;
【基金】：国家自然科学基金资助项目(31260102,81260608)
【分类号】：R29

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