北柴胡饮片及其配方颗粒的指纹图谱建立和化学模式识别
Establishment of Fingerprints and Chemical Pattern Recognition of Decoction Pieces and Dispensing Granules of Bupleurum chinense DC
毕天琛 1杨国宁 2刘蓓 3陈蕾 3赵文英3
作者信息
- 1. 青岛科技大学化工学院,山东青岛 266042;菏泽市食品药品检验检测研究院,山东菏泽 274000
- 2. 菏泽市食品药品检验检测研究院,山东菏泽 274000
- 3. 青岛科技大学化工学院,山东青岛 266042
- 折叠
摘要
采用高效液相色谱-蒸发光散射检测器法,依据"中药色谱指纹图谱相似度评价系统(2012版)"建立北柴胡饮片和北柴胡配方颗粒的指纹图谱,并进行相似度评价,确定共有特征峰.采用SPSS 22.0和SIMCA14.1软件进行聚类分析、主成分分析和正交偏最小二乘法-判别分析,筛选影响饮片和配方颗粒质量的差异性成分.结果显示,10批北柴胡饮片有24个共有峰,相似度均不低于0.985;20批北柴胡配方颗粒有16个共有峰,相似度在0.858～0.998.共指认了 6个共有峰,分别为柴胡皂苷c(峰6)、柴胡皂苷f(峰7)、柴胡皂苷a(峰9)、柴胡皂苷d(峰18)、柴胡皂苷b2(峰28)、柴胡皂苷b1(峰29).聚类分析和主成分分析结果一致,北柴胡饮片和北柴胡配方颗粒各为一类,有16个峰的变量重要性投影(VIP)值大于1,可能是二者的差异性物质.建立的指纹图谱法简便可行、重复性好,可用于评价北柴胡饮片和北柴胡配方颗粒的质量.
Abstract
The fingerprints of decoction pieces and dispensing granules of Bupleurum chinense DC.were established by HPLC coupled with evaporative light scattering detector according to the"Similarity Evaluation system of TCM Chromatographic Fingerprint(2012 edition)".The similarity was evaluated and the common characteristic peaks were determined.Softwares of SPSS 22.0 and SIMCA 14.1 were used for cluster analysis(CA),principal component analysis(PCA)and orthogonal partial least square discriminant analysis to screen the different components that affected the quality of decoction pieces and dispensing granules.The results showed that there were twenty-four common peaks in ten batches of decoction pieces,with a similarity of no less than 0.985.And there were sixteen common peaks in twenty batches of dispensing granules,with a similarity of 0.858-0.998.Six common peaks were identified,including saikosaponin c(peak 6),saikosaponin f(peak 7),saikosaponin a(peak 9),saikosaponin d(peak 18),saikosaponin b2(peak 28)and saikosaponin b,(peak 29).The results of CA and PCA showed that Bupleurum chinense DC.decoction pieces and Bupleurum chinense DC.dispensing granules were clustered into two categories.The variable importance in the projection(VIP)values of sixteen common peaks were all high than 1,which meant the difference between decoction pieces and dispensing granules.The established fingerprint and chemical pattern recognition analysis method can be used to evaluate the quality of decoction pieces and dispensing granules of Bupleurum chinense DC.
关键词
北柴胡/配方颗粒/高效液相色谱法/指纹图谱/化学模式识别/柴胡皂苷Key words
Bupleurum chinense DC./dispensing granules/HPLC/fingerprint/chemical pattern recognition/saikosaponin引用本文复制引用
基金项目
山东省重点研发计划项目(2018GSF119008)
山东省药品监督管理局202药品质量风险监测项目(局函[2022]174号)
出版年
2023
NETL
NSTL
维普
万方数据