天然产物研究与开发 ›› 2024, Vol. 36 ›› Issue (8): 1409-1419.doi: 10.16333/j.1001-6880.2024.8.015

• 开发研究 • 上一篇    下一篇

不同产地佩兰多成分定量分析及质量差异性评价研究

卢立欣1,郑   磊1,李志明2,宋   超1*   

  1. 1山东省立第三医院药学部,济南 250000;2山东中医药大学药学院,济南 250355
  • 出版日期:2024-08-28 发布日期:2024-08-29
  • 基金资助:
    山东省中医药科技面上项目(2021M199)

Study on the quantitative analysis and quality difference evaluation of Eupatorii Herba from different producing areas

LU Li-xin1,ZHENG Lei1,LI Zhi-ming2,SONG Chao1*   

  1. 1Department of Pharmacy,Shandong Provincial Third Hospital,Jinan 250000,China;2School of Pharmacy,Shandong University of Traditional Chinese Medicine,Jinan 250355,China
  • Online:2024-08-28 Published:2024-08-29

摘要:

建立不同产地佩兰药材中11个成分含量同步检测方法,并采用化学识别模式和灰色关联度分析(grey relational analysis,GRA)法对其质量差异性进行评价。收集8省18个批次佩兰样品,采用高效液相色谱法同时检测佩兰中芦丁、异鼠李素-3-O-芸香糖苷、木犀草素、槲皮素、蒲公英甾醇、β-谷甾醇、豆甾醇、延胡索酸、琥珀酸、1,2-苯并吡喃酮和泽兰内酯含量,建立佩兰多组分定量控制模式;采用化学识别模式和GRA法建立佩兰质量优劣评价模型,对其质量进行差异性评价。在构建的色谱条件下,外标法方法学验证符合《中华人民共和国药典》规定;一测多评法(quantitative analysis of multicomponents by single-marker,QAMS)与外标法检测结果基本无差异;化学识别模式结果提示18批样品聚为3类,芦丁、豆甾醇、木犀草素、槲皮素、1,2-苯并吡喃酮和β-谷甾醇可能是影响佩兰产品质量主要潜在标志物;GRA结果显示18批佩兰质量相对关联度分别为0.418 5、0.477 9、0.544 6、0.503 5、0.509 9、0.544 0、0.486 8、0.338 8、0.354 8、0.360 8、0.329 8、0.291 0、0.618 6、0.627 3、0.644 7、0.662 7、0.546 2和0.570 5,表明江苏、河北和山东产地佩兰整体质量较好。建立的同时测定佩兰中11种成分含量的QAMS法,操作便捷,结果准确;化学识别模式及GRA法客观全面,可用于不同产地佩兰的质量差异评价。

关键词: 佩兰, 高效液相色谱法, 化学识别模式, 灰色关联度分析, 差异性评价

Abstract:

This study aims to establish a method for simultaneous determination of 11 components of Eupatorii Herba from different producing areas,and to evaluate its quality difference by chemical pattern recognition and grey relational analysis (GRA).The 18 batches of Eupatorii Herba samples from eight provinces were collected.A high performance liquid chromatography method was used to simultaneous determine contents of rutoside,isorhamnetin-3-O-rutinoside,luteolin,quercetin,taraxasterol,β-sitosterol,stigmasterol,fumaric acid,succinic acid,1,2-benzopyrone and eupatolide,and the multi-components quantitative control mode of Eupatorii Herba was established. Chemical pattern recognition and GRA were used to establish the quality difference evaluation model of Eupatorii Herba,and the overall quality was evaluated comprehensively. Under the constructed chromatographic conditions,the methodological validation of the external standard method meets the requirements of the pharmacopoeia;There was basically no difference in the detection results between (quantitative analysis of multicomponents by single-marker,QAMS) method and external standard method.The chemical recognition pattern results indicated that 18 batches of samples were clustered into three categories;rutoside,stigmasterol,luteolin,quercetin,1,2-benzopyrone and β- sitosterol may be the main potential markers affecting the quality of Eupatorii Herba. The results of GRA showed that the relative correlation of 18 batches of Eupatorii Herba were 0.418 5,0.477 9,0.544 6,0.503 5,0.509 9,0.544 0,0.486 8,0.338 8,0.354 8,0.360 8,0.329 8,0.291 0,0.618 6,0.627 3,0.644 7,0.662 7,0.546 2 and 0.570 5,respectively indicating that the overall quality of Eupatorii Herba from Jiangsu,Hebei and Shandong were better.The established QAMS method for simultaneous determination of 11 components in Eupatorii Herba are convenient and accurate.Chemical pattern recognition and GRA method are objective and comprehensive,which can be used to evaluate the quality difference of Eupatorii Herba from different origin.

Key words: Eupatorii Herba, HPLC, chemical pattern recognition, grey relational analysis, difference evaluation

中图分类号:  R917