首页|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

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

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  • NETL
  • NSTL
  • 万方数据
  • 维普
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30 μg/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.
Optimization for compatibility of Ramulus Uncariae cum Uncie total alkaloids and Semen Raphani total alkaloids based on partial least-squares regression analysis
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.

Ramulus Uncariae cum Uncie total alkaloidsSemen Raphani total alkaloidscomponent compatibilityantihypertensionpartial least-squares regression analysis

蒋海强、聂磊、周洪雷、李运伦

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山东中医药大学实验中心,山东 济南 250355

山东大学药学院,山东 济南 250012

山东中医药大学药学院,山东 济南 250355

山东中医药大学附属医院,山东 济南 250011

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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

山东省科技发展计划项目国家自然科学基金

2008GG2NS0201181072794/H2708

2013

10.7501/j.issn.0253-2670.2013.18.008

中草药
天津药物研究院,中国药学会

中草药

CSTPCDCSCD北大核心
影响因子：1.632
ISSN：0253-2670
年,卷(期)：2013.44(18)
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