世界中医药Issue(4)：577-582,6.DOI:10.3969/j.issn.1673-7202.2015.04.027
基于药物体系质量评价模式的柴胡质量表征关联分析研究
Quality Representation and Correlation Analysis of Chaihu (Bupleuri Radix)Based on the Quality Evaluation Model of Drug System
摘要
Abstract
Objective:To establish quality representation and correlation analysis on Chaihu (Bupleuri Radix)based on the quali-ty evaluation model of drug system.Methods:Use HPLC method to simultaneously determine the 4 effective index components of Chaihu,including rutin,saikosaponin c,a,and d,meanwhile characterize the main contents of flavonoids and saponins.Use vis-ible spectrophotometry to determine the content of total phenolic in Chaihu.Results:Based on the quality evaluation model of drug system to characterize and correlation analysis the effective indicator ingredients and the relative ratio of them.Then evaluate the associate degree of pieces of different batches and the reference piece.The result shows the total content of effective index compo-nents in No.7,No.8,No.14 is higher than No.5 and No.6 is closer to No.5.No.7,No.8,No.13 No.14 have high asso-ciate degree with No.5.Comprehensive quality characterization and correlation analysis results,the No.7,No.8,No.14,No.5, No.13 have high quality ranking.Conclusion:Quality representation and correlation analysis of Chaihu are based on a new quality evaluation model of drug system.Considering quality representation based on the content and the content relative ratio of effective index components comprehensively.This paper reports the specific applications of a new way of thinking model for the quality rep-resentation and evaluation of Chaihu,providing the foundation of raw material quality control and application screening.关键词
柴胡/关联分析/主要黄酮类成分和/总酚类成分含量/柴胡皂苷 c/a/d/主要皂苷类成分和Key words
Chaihu (Bupleuri Radix)/Correlation analysis/Main flavonoids/Total phenolic ingredients/Saikosaponin c,a, d/Main saponins分类
医药卫生引用本文复制引用
潘婷,石任兵,黄亚婷,韩珂卿,孙雅姝,温静,迟蕾,陈唯,杨元,姜艳艳..基于药物体系质量评价模式的柴胡质量表征关联分析研究[J].世界中医药,2015,(4):577-582,6.基金项目
十二五国家科技支撑计划项目（编号2012BAI29B06）；北京中医药大学创新团队资助项目 （）
