Optimization of Self-microemulsion Drug Delivery System of Ursolic Acid by Central Composite Design/Response Surface Methodology

SUN Dan-dan; XU Xin-gang; SHENG Li-song; YU Bei-bei; YAN Xue-sheng

doi:10.11653/syfj2013080046

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Optimization of Self-microemulsion Drug Delivery System of Ursolic Acid by Central Composite Design/Response Surface Methodology

更新时间：2024-01-04

- Optimization of Self-microemulsion Drug Delivery System of Ursolic Acid by Central Composite Design/Response Surface Methodology
- Chinese Journal of Experimental Traditional Medical Formulae Vol. 19, Issue 8, Pages: 46-50(2013)
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- DOI：10.11653/syfj2013080046
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- Published：2013
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SUN Dan-dan, XU Xin-gang, SHENG Li-song, et al. Optimization of Self-microemulsion Drug Delivery System of Ursolic Acid by Central Composite Design/Response Surface Methodology[J]. Chinese journal of experimental traditional medical formulae, 2013, 19(8): 46-50.
DOI：

SUN Dan-dan, XU Xin-gang, SHENG Li-song, et al. Optimization of Self-microemulsion Drug Delivery System of Ursolic Acid by Central Composite Design/Response Surface Methodology[J]. Chinese journal of experimental traditional medical formulae, 2013, 19(8): 46-50. DOI： 10.11653/syfj2013080046.

摘要

目的: 采用星点设计-效应面法优化熊果酸自微乳化给药系统。方法: 以乳化剂与助乳化剂的比例和含油量为考察因素

微乳粒径、饱和载药量为效应值

采用SAS 9.1.3软件筛选最优处方

并进行验证。结果: 熊果酸自微乳的优化处方为油相(MCT)-乳化剂(HS15)-助乳化剂(alcohol)12.5:62.5:25。结论: 应用星点设计-效应面法能方便准确地得到熊果酸自微乳化给药系统的较优处方

所建立的模型预测性良好。

Abstract

Objective: To optimize formulation of ursolic acid self-microemulsion drug delivery system using central composite design/response surface methodology. Method: With ratio of surfactants and cosurfactants and oil content as independent variables

particle size and saturated drug doading were taken as dependent variables

optimum formulation was screened by SAS9.1.3 software

and verified. Result: Optimized formulation of ursolic acid self-microemulsion was oil phase(MCT)-emulsifier(HS15)-cosurfactants(alcohol) 12.5:62.5:25. Conclusion: This optimized formulation of ursolic acid self-microemulsion drug delivery system could be obtained exactly and conveniently by central composite design response surface methodology

and established model had a reliable predictability.

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Related Institution

Traditional Chinese Medicine（TCM）Regulating Metabolic Diseases Key Laboratory of Sichuan Province，Hospital of Chengdu University of TCM

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Key Laboratory of Basic and Applied Research of Northern Medicine, Key Laboratory of Basic Research on Pharmacodynamic Substances of Traditional Chinese Medicine and Natural Medicine in Heilongjiang Province, Heilongjiang University of Chinese Medicine

Jiangxi College of Traditional Chinese Medicine

Dept.of Pharmacy,The First Affiliated Hospital of Xinjiang Medical University

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