主 办:北 京 中 医 药 大 学
ISSN 1006-2157 CN 11-3574/R

北京中医药大学学报 ›› 2016, Vol. 39 ›› Issue (4): 308-315.doi: 10.3969/j.issn.1006-2157.2016.04.009

• 中药化学 • 上一篇    下一篇

基于药物体系的金花葵特征图谱质量表征关联分析研究*

冯朵1,谭立1,彭平1,申立峰2,许舒娅1,吕珊1,张元元1,陈唯1,张芳1,石任兵1,3#   

  1. 1 北京中医药大学中药学院国家中医药管理局中药经典名方有效物质发现重点实验室 北京 100102;
    2 首都医科大学中医药学院;
    3 北京市教委中药质量控制技术工程中心
  • 收稿日期:2015-11-20 出版日期:2016-04-30 发布日期:2016-04-30
  • 通讯作者: 石任兵,男,博士,教授,博士生导师,研究方向:中药(复方)有效物质基础研究与药物创新,E-mail:shirb@126.com
  • 作者简介:冯朵,女,在读硕士生
  • 基金资助:
    *“十二五”国家科技支撑计划资资助项目(No.2012BAI29B06),北京中医药大学创新团队资助项目(No.2011-CXTD-12),北京中医药大学重点学科开放课题资助项目(No.2013-2DXKKF-23)

Quality representation and correlation analysis of Aurea Helianthus based on characteristic chromatogram of drug system*

FENG Duo1, TAN Li1, PENG Ping1, SHEN Lifeng2, XU Shuya1, LV Shan1, ZHANG Yuanyuan1, CHEN Wei1, ZHANG Fang1, SHI Renbing1,3#   

  1. 1 Key Unit of Exploring Effective Substances of Classical and Famous Formulas of State Administration of Traditional Chinese Medicine, School of Chinese Materia Medica, Beijing University of Chinese Medicine, Beijing 100102;
    2 School of Traditional Chinese Medicine, Capital Medical University;
    3 Quality Control Technology and Engineering Center of Chinese Medicine, Beijing Municipal Commission of Education
  • Received:2015-11-20 Online:2016-04-30 Published:2016-04-30

摘要: 目的 建立基于药物体系的金花葵特征图谱质量表征关联分析方法与评价模式,有效精准地评价金花葵的质量。方法 运用反相高效液相色谱(HPLC-PDA)法表征金花葵特征图谱中19个特征峰及其所属化学类型,对15批金花葵进行质的表征;基于特征图谱中特征指标性成分绿原酸、芦丁、金丝桃苷、异槲皮苷、槲皮素的含量及酚酸类(以绿原酸表征)、黄酮类(以金丝桃苷表征)的含量对15批金花葵进行量的表征,并基于参比药材将15批金花葵质与量的表征结果进行关联性分析。结果 金花葵特征图谱中共含有特征峰19个,其中酚酸类成分特征峰3个,黄酮类成分特征峰16个,15批金花葵色谱图中均含有此19个特征峰。以批号1为参比,批号10、14、8、11、6、5各有效指标成分总体含量高于参比药材,批号5、6、3、7、2、11、12与参比药材关联性最高,综合评价得出批号5、6、11、3、7、2优良度居前。结论 所建立的金花葵质量表征关联分析模式通过分析金花葵质量整体关联性与应用有效性,可有效精准地评价金花葵质量。

关键词: 金花葵, 特征图谱, 关联分析, 绿原酸, 芦丁, 金丝桃苷, 异槲皮苷, 槲皮素

Abstract: Objective To establish quality representation and correlation analysis method based on the characteristic chromatograms of drug system of Aurea helianthus (Jinhuakui), so as to evaluate quality of Aurea helianthus effectively and accurately. Methods Using HPLC-PDA method to characterize the 19 characteristic peaks and their chemical types in specific chromatograms of Aurea helianthus to represent the quality of altoghther 15 batches of Aurea helianthus. The quantitative representation of the 15 batches of Aurea helianthus was based on the contents of 5 characteristic index component-chlorogenic acid, rutinum, hyperoside, isoquercitrin, quercetin, phenylpropionic acids (represented by chlorogenic acid) and flavonoids ( represented by hyperoside). Correlation analysis of quality and quantity representations was then performed based on reference. Results Total 19 characteristic peaks (3 peaks of phenylpropionic acids and 16 peaks of flavonoids) appeared in the chromatogram of all the 15 batches. By taking Batch 1 as the reference, the total contents of the effective index components of Batch 10, 14, 8, 11, 6 and 5 were higher than the reference, and the highest correlation with the reference showed in Batch 5, 6, 3, 7, 2, 11 and 12. So the quality of Batch 5, 6, 11, 3, 7 and 2 were superio to the others. Conclusion The quality characterization correlation analysis model established for Aurea helianthus, concerning on systemic correlation and application validity, evaluated the quality of Aurea helianthus effectively and accurately.

Key words: Aurea helianthus, specific chromatogram, correlation analysis, chlorogenic acid, rutinum, hyperoside, isoquercitrin, quercetin

中图分类号: 

  • R284.1