天然产物研究与开发 ›› 2020, Vol. 32 ›› Issue (8): 1269-1277.doi: 10.16333/j.1001-6880.2020.8.001

• 研究论文 •    下一篇

不同产地桔梗HPLC指纹图谱及化学模式识别研究

张迟1,黄戎婕1,曾金祥1*,钟国跃1,韩风雨2,于秀玲2   

  1. 1江西中医药大学中药资源与民族药研究中心,南昌 330004;2内蒙古天奇中蒙制药股份有限公司,赤峰 024000
  • 出版日期:2020-08-28 发布日期:2020-09-02
  • 基金资助:
    国家自然科学基金(81860685);国家中医药管理局中医药行业科研专项(ZYBZH-Y-NMG-30);江西中医药大学双一流学科建设项目(JXSYLXK-ZHYAO033)

Study on HPLC fingerprint and chemical pattern recognition of Platycodins Radix from different habitats

ZHANG Chi1,HUANG Rong-jie1,ZENG Jin-xiang1*,ZHONG Guo-yue1,HAN Feng-yu2,YU Xiu-ling2   

  1. 1Research Center of Chinese Medicine Resource and National Medicine,Jiangxi University of Traditional Chinese Medicine,Nanchang 330004,China;2Inner Mongolia Tianqi Han & Mongolia Pharmaceutical Co.,Ltd.,Chifeng 
  • Online:2020-08-28 Published:2020-09-02

摘要: 为建立桔梗HPLC指纹图谱并对其质量控制方法进行探讨。研究采用YMC Hydrosphere C18分析色谱柱(250×4.6 mm,5 μm),以水和乙腈为流动相进行梯度洗脱,检测波长210 nm。建立不同产地15批桔梗药材HPLC指纹图谱。采用相似度评价、聚类分析、主成分分析和正交偏最小二乘判别分析等化学模式识别方法对不同产地桔梗质量及其控制方法进行分析和评价。建立的桔梗HPLC指纹图谱共标定21个共有峰,并通过对照品指认其中7个成分;不同产地桔梗相似度在0.927~0.991之间;聚类分析和主成分分析结果都将15批桔梗分为3类,利用正交偏最小二乘判别分析筛选出造成桔梗差异的13个色谱峰。本研究建立的HPLC指纹图谱结合化学模式识别的方法简便准确,能够为桔梗的质量控制和品质评价提供依据。


关键词: 桔梗;指纹图谱;化学模式识别;质量控制 

Abstract:

The HPLC fingerprints and chemical pattern recognition were studied to provide new method for quality control and evaluation of Platycodins Radix. The HPLC was selected to establish the fingerprints of 15 batches Platycodins Radix from different habitats. The chromatographic separation was performed on an YMC hydrosphere C18 analytical column (250 × 4.6 mm,5 μm),a mixture of water and acetonitrile solution was selected as mobile phase for gradient elution,and the detection wavelength was set as 210 nm. The chemical pattern recognition of similarity evaluation,cluster analysis,principal component analysis and orthogonal partial least squares discriminant analysis were used to analyze and evaluate the quality of Platycodins Radix. The results showed that the fingerprints of 15 batches of Platycodins Radix from different habitats were successfully established,which possessed 21 common peaks and 7 common peaks could be identified using standards. The results about the chemical pattern recognition showed that the similarities of those fingerprints were between 0.927 and 0.991,and 15 batches of Platycodins Radix could be divided into 3 groups by both cluster analysis and principal component analysis. Furthermore,the quality difference of those Platycodins Radix was mainly caused by 13 common peaks according to the results of orthogonal partial least squares discriminant analysis. In a word,the fingerprints combined with chemical pattern recognition provides a simple and accurate method for the quality control and evaluation of Platycodins Radix. 

Key words: Platycodins Radix, fingerprint, chemical pattern recognition, quality control

中图分类号:  R282.5