Laboratory of Pharmaceutical, Chemical and Pharmacological Drug Development LR12ES09, Faculty of Pharmacy, University of Monastir, Tunisia.
Laboratory of Pharmaceutical, Chemical and Pharmacological Drug Development LR12ES09, Faculty of Pharmacy, University of Monastir, Tunisia.
Int J Pharm. 2014 May 15;466(1-2):341-8. doi: 10.1016/j.ijpharm.2014.03.040. Epub 2014 Mar 20.
The aim of this work was to elaborate a novel approach for the development and optimization of self-emulsifying drug delivery system (SEDDS), using response surface methodology and hydrophilic lipophilic balance (HLB). Fenofibrate was selected as drug model. Rapid selection of excipients was operated with reference to their toxicity and capacity to solubilize the drug. A three level Box-Behnken design was used. The independent variables were (X1) surfactants/oil, (X2) cosurfactant/surfactant and (X3) percentage of cosolvent. The high and low levels of these factors were selected with reference to the experimental domain that covers an interval of HLB from 7.8 to 15. This interval of HLB is assumed to lead to oil in water emulsification and to contain the required HLB. The responses were (Y1) droplet size and (Y2) cumulative percentage drug released in 20 mn.Various response surface graphs were constructed to understand the effects of different factor level combinations. The optimized SEDDS with predicted drug release 83.6%, and droplet size 137 nm was prepared; the experimental values were in close agreement. The required HLB was 9.85. Optimized SEDDS showed significant increase in dissolution rate compared to conventional prepared gelatin capsules. In conclusion, this paper demonstrated the reliability, rapidity, and robustness of the approach.
本工作旨在采用响应面法和亲水亲油平衡(HLB)来阐述一种新型自乳化药物传递系统(SEDDS)的开发和优化方法。选择非诺贝特作为药物模型。参考辅料的毒性和溶解药物的能力,快速选择辅料。采用三水平 Box-Behnken 设计。自变量为(X1)表面活性剂/油、(X2)助表面活性剂/表面活性剂和(X3)共溶剂的百分比。这些因素的高低水平是根据涵盖 HLB 从 7.8 到 15 的实验域选择的。假设这个 HLB 区间会导致油包水乳化,并包含所需的 HLB。响应为(Y1)粒径和(Y2)20 分钟内药物的累积释放百分比。构建了各种响应面图,以了解不同因素水平组合的影响。制备了预测药物释放 83.6%和粒径 137nm 的优化 SEDDS;实验值非常吻合。所需的 HLB 为 9.85。与常规制备的明胶胶囊相比,优化的 SEDDS 显示出显著提高的溶解速率。总之,本文证明了该方法的可靠性、快速性和稳健性。