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采用逐步多元回归法对脂质体制备的正交试验进行处方筛选

范晓婧, 刘倩, 甄鹏, 张扬, 胡新*   

  1. 北京大学药学院 药剂学系, 北京 100083
  • 收稿日期:2006-11-24 修回日期:2007-05-10 出版日期:2007-06-15 发布日期:2007-06-15
  • 通讯作者: 胡新*

Stepwise multiple regressions application in liposome orthogonal experiments

Xiao-Jing Fan, Qian Liu, Peng Zhen, Yang Zhang, Xin Hu*   

  1. Department of Pharmaceutics, School of Pharmaceutical Sciences, Peking University, Beijing 100083, China
  • Received:2006-11-24 Revised:2007-05-10 Online:2007-06-15 Published:2007-06-15
  • Contact: Xin Hu*

摘要: 目的 在利用正交试验进行脂质体的处方筛选时,采用新的统计方法对试验得到的数据进行分析。方法 选择粒径、zeta电位、包封率和物理稳定性作为正交设计的评价指标。运用直观分析、方差分析和逐步多元回归分析三种方法对实验结果进行处理,并通过直观分析和逐步多元回归分析获得最佳制备方案,采用实验比较确证。结果 针对四个不同的评价指标,分别采用两种方法直观分析和逐步多元回归优化,得到的处方各不相同。平行进行两组验证试验,结果表明逐步多元回归与传统方法相比具有一定的优势。结论 逐步多元回归能够弥补直观分析和方差分析因不连续取点造成的一些不足并能在已有试验的基础上,得到影响因素的交互作用结果,可以在一定程度上减小试验的工作量。

关键词: 正交试验, 正交试验, 正交试验, 脂质体, 脂质体, 脂质体, 逐步多元回归, 逐步多元回归, 逐步多元回归

Abstract: Aim New statistical method was applied in data analysis of orthogonal experiments to optimize the preparation of liposome. Method Particle size, zeta potential, encapsulation efficiency and physical stability of liposomes were selected by orthogonal design as evaluating indicators. Through three statistical methods (direct observation, variance analysis and stepwise multiple regression), the optimized preparing conditions were acquired and validated by experiment. Results All of the four indicators were different by these analyses. The validation experiments indicated that the optimized conditions by stepwise multiple regressions were better than that by traditional analysis. Conclusion Experiment results suggested that multiple regressions could avoid the weakness of direct observation and variance analysis, but more work should be done in preparing liposomes.

Key words: Orthogonal experiment, Orthogonal experiment, Liposome, Liposome, Stepwise multiple regressions, Stepwise multiple regressions

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Supporting: *Corresponding author. Tel.: 86-10-82801708