| 杨洋,李珍,乔向东,包塔娜,乔轲,徐萌杰.结合化学识别模式的霞日森登质量标志物研究[J].中国药事,2023,(4):404-413 |
| 结合化学识别模式的霞日森登质量标志物研究 |
| Evaluation of Quality Markers of Xanthocerassorbifolia Combined With Chemical Pattern Recognition |
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| DOI：10.16153/j.1002-7777.2023.04.006 |
| 中文关键词: 霞日森登 质量标志物 化学识别模式 聚类分析 主成分分析 相对校正因子 |
| 英文关键词: X.sorbifolia Q-Marker chemical pattern recognition cluster analysis PCA RCF |
| 基金项目:内蒙古自然科学基金(编号 2021MS02021)；鄂尔多斯市应用技术研究与开发科技计划项目《基于抗风湿作用的蒙药材霞日森登拆分组分筛选研究》(编号 2019-501) |
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| 中文摘要: |
| 目的：建立基于蒙药材霞日森登质量标志物(Q-Marker)的质量控制方法，结合化学识别模式分析不同产地霞日森登的质量差异。方法：采用高效液相色谱法(HPLC)同时测定杨梅素、二氢杨梅素、没食子儿茶素、儿茶素、表儿茶素、表没食子儿茶素及花旗松素7种Q-Marker含量，建立一测多评法(QAMS)，并与外标法(ESM)及标准曲线法所得结果比较结果差异；通过霞日森登HPLC指纹图谱及运用聚类分析、主成分分析等化学识别模式对11批霞日森登药材质量进行评价。结果：建立了 QAMS，内参物二氢杨梅素与没食子儿茶素、儿茶素、表儿茶素、表没食子儿茶素和花旗松素的相对校正因子分别为1.569、1.435、1.426、1.467、0.794(杨梅素为0.489，因偏离大去除)，且11批霞日森登样品3种方法测定结果无显著差异；获得指纹图谱及共有模式，经过聚类分析和主成分分析得出不同产地的11批霞日森登可聚为4类。结论：通过建立的指纹图谱和QAMS能精准测定霞日森登中 Q-Marker的含量，可用于霞日森登的质量评价，为评估霞日森登的质量提供了更为科学与全面的基础依据。 |
| 英文摘要: |
| Objective: To establish a quantitative analysis method of Xanthocerassorbifolia based on quality marker (Q-Marker), and to analyze the quality diff erences of X.sorbifolia. from diff erent origins by combining with chemical pattern recognition. Methods: An HPLC method was developed for the determination of seven quality markers, including myricetin, dihydromyricetin, galliccatechin, catechin, epicatechin, epigallocatechin and flagellin. The results of the three methods were compared: quantitative analysis of multi-components by single-marker (QAMS), external standard method (ESM) and standard curve method. The HPLC fingerprint of X.sorbifolia was obtained, and the quality of 11 batches of X.sorbifolia was evaluated by chemical pattern recognition such as cluster analysis and principal component analysis (PCA). Results: The relative correction factors (RCF) of six components were calculated and the contents were calculated by QAMS. The RCF of galliccatechin, catechin, epicatechin, epigallocatechin and dihydromyricetin were 1.569,1.435,1.426,1.467 and 0.794 (myricetin was 0.489, removed due to large deviation), respectively. The contents of six components showed no signifi cant diff erence among the three methods in 11 batches of X.sorbifoliasamples. The HPLC fi ngerprints and common patterns were obtained, and the cluster analysis and principal component analysis showed that 11 batches of X.sorbifolia from diff erent origins could be clustered into four groups. Conclusion: The established HPLC fi ngerprint and QAMS can accurately determine the content of Q-Markers in X.sorbifolia. It provides a more scientifi c and comprehensive basis for the quality control of X.sorbifolia, which can be used to evaluate the quality of X.sorbifolia. |
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