期刊文献+

基于偏最小二乘回归分析的钩藤总碱和莱菔子总碱组分配伍优化研究 被引量:16

Optimization for compatibility of Ramulus Uncariae cum Uncie total alkaloids and Semen Raphani total alkaloids based on partial least-squares regression analysis
原文传递
导出
摘要 目的以钩藤总碱和莱菔子总碱有效组分的降血压效应为研究对象,探索中药组分配伍及优化设计的研究方法。方法按照"正交设计-药效测定-偏最小二乘回归建模"的程序,以收缩压为指标,采用正交设计优化钩藤总碱和莱菔子总碱的配比,对其数据进行极差分析、方差分析、多元回归分析和偏最小二乘回归分析。结果根据多元回归分析和偏最小二乘回归分析,考虑经济成本,钩藤总碱和莱菔子总碱的最佳配比为钩藤总碱25μg/g配伍莱菔子总碱30μg/g。结论钩藤总碱和莱菔子总碱的组分配伍能够有效降低血压。采用正交设计结合偏最小二乘回归分析的方法,能够消除各因素的交互作用,非常适用于中药的组分配伍及优化设计。 Objective To explore the research method suitable for the component compatibility and optimization design of Chinese materia medica (CMM) by taking the blood pressure-lowering effect of the effective components in Ramulus Uncariae cum Uncie total alkaloids (RUCUTA) and Semen Raphani total alkaloids (SRTA) as the research objects. Methods According to the procedure of "orthogonal design-evaluation on drug effect-partial least-squares regression (PLSR)", using contractive pressure as index, the ratio of RUCUTA and SRTA was optimized by orthogonal design method. The data were analyzed by range analysis, variance analysis, multiple regression analysis, and PLSR analysis. Results According to the result of the data analysis and considering the economic costs, the optimal ratio of the two components was 25 μg/g RUCUTA and 30 μg/g SRTA. Conclusion The compatibility of RUCUTA and SRTA could effectively reduce blood pressure. The orthogonal design method combined with PLSR could eliminate the interaction among the various factors and be suitable for the component compatibility in CMM and optimization design.
出处 《中草药》 CAS CSCD 北大核心 2013年第18期2531-2536,共6页 Chinese Traditional and Herbal Drugs
基金 山东省科技发展计划项目(2008GG2NS02011) 国家自然科学基金资助项目(81072794/H2708)
关键词 钩藤总碱 莱菔子总碱 组分配伍 抗高血压 偏最小二乘回归分析 Ramulus Uncariae cum Uncie total alkaloids Semen Raphani total alkaloids component compatibility antihypertension partial least-squares regression analysis
  • 相关文献

参考文献11

二级参考文献84

共引文献315

同被引文献371

引证文献16

二级引证文献198

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部