Optimization Preparation Technology of Genistein Micelles by Orthogonal Design and Central Composite Design-response Surface Methodology

HE Li; HAN Rui-wei; TANG Xiao-fei; ZHANG Yue; WANG Li-li; GUO Xin; YAN Xue-ying

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Optimization Preparation Technology of Genistein Micelles by Orthogonal Design and Central Composite Design-response Surface Methodology

更新时间：2024-01-04

- Optimization Preparation Technology of Genistein Micelles by Orthogonal Design and Central Composite Design-response Surface Methodology
- Chinese Journal of Experimental Traditional Medical Formulae Vol. 17, Issue 22, Pages: 12-16(2011)
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- Published：2011
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HE Li, HAN Rui-wei, TANG Xiao-fei, et al. Optimization Preparation Technology of Genistein Micelles by Orthogonal Design and Central Composite Design-response Surface Methodology[J]. Chinese journal of experimental traditional medical formulae, 2011, 17(22): 12-16.
DOI：

HE Li, HAN Rui-wei, TANG Xiao-fei, et al. Optimization Preparation Technology of Genistein Micelles by Orthogonal Design and Central Composite Design-response Surface Methodology[J]. Chinese journal of experimental traditional medical formulae, 2011, 17(22): 12-16. DOI：

摘要

目的: 优化改良的自乳化溶剂挥发法制备染料木素MePEG-PLGA共聚物胶束的制备工艺。方法: 先采用正交设计进行处方的初步筛选

确定主要影响因素。再采用星点设计-效应面法进一步优化处方

以染料木素在有机相中浓度、MePEG-PLGA在有机相中浓度、水相和油相体积比为考察因素

以包封率、载药量和平均粒径为考察指标

对结果进行多元线性回归及二项式拟合

经效应面法预测较佳工艺条件。结果: 正交设计和星点设计-效应面法联用后得到的优化处方制备的样品包封率为84.43%

载药量为2.63%

平均粒径为63.7 nm。结论: 正交设计联用星点设计-效应面法可以准确快速的优化染料木素MePEG-PLGA共聚物胶束的制备工艺

所建立的数学模型具有较好的预测能力。

Abstract

Objective: To optimize preparation technology of genistein-loaded MePEG-PLGA namo-micelle with modified spontaneous emulsification solvent diffusion method. Method: Firstly

orthogonal design was used to preliminary screen prescription

and determine main influence factors. Then optimized prescription by central composite design (CCD) and response surface methodology (RSM). Main influence factors included concentration of genistein micelles in organic phase

concentration of MePEG-PLGA in organic phase and the ratio of water phase to organic phase

evaluation parameters included entrapment efficiency

drug loading and average diameter. Data were simulated using multi-linear regression and second-order polynomial equation. The better technology condition was predicted by response surface method. Result: According to the optimal formulation

the entrapment efficiency

the drug loading and the average diameter of the prepared namo-micelle were 84.43%

2.63%

63.7 nm

respectively. Conclusion: Combined of orthogonal design with CCD and RSM was a convenient and feasible method to optimize preparation technology of genistein-loaded MePEG-PLGA namo-micelle and model developed in this study are proved to be predictable.

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Related Institution

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