4.4 Article

Optimization of self-microemulsifying drug delivery system for telmisartan using Box-Behnken design and desirability function

期刊

JOURNAL OF PHARMACY AND PHARMACOLOGY
卷 65, 期 10, 页码 1440-1450

出版社

WILEY
DOI: 10.1111/jphp.12115

关键词

bioavailability; Box-Behnken design; optimization; self-microemulsifying drug delivery system; telmisartan

资金

  1. National Research Foundation of Korea (NRF)
  2. Ministry of Education, Science and Technology [2012R1A2A2A02044997, 2012R1A1A1039059]

向作者/读者索取更多资源

Objectives To develop and optimize the novel self-microemulsifying drug delivery system (SMEDDS) formulation for enhanced water solubility and bioavailability of telmisartan (TMS) using the Box-Behnken design (BBD) and desirability function. Method TMS-SMEDDS formulation consisted of the mixture of oil (Peceol), surfactant (Labrasol), co-surfactant (Transcutol), TMS and triethanolamine. A three-level BBD was applied to explore the main effect, interaction effect and quadratic effect of three independent variables, including the amount of Peceol (X-1), Labrasol (X-2) and Transcutol (X-3). Determined conditions were 20 < X-1 < 40, 50 < X-2 < 80 and 5 < X-3 < 30. The response variables were droplet size (Y-1), polydispersity index (Y-2) and dissolution percentage of TMS after 15 min (Y-3). Key findings The optimized conditions were 28.93, 80 and 28.08 (mg) for X-1, X-2 and X-3, respectively, and the response variables were predicted to be 159.8 nm, 0.241 and 85.8% for Y-1, Y-2 and Y-3, respectively. The actual values from the optimized formulation showed good agreement with predicted values. The optimized TMS-SMEDDS formulation showed faster drug dissolution rate and higher bioavailability than TMS powder. Conclusions Our results suggest that response surface methodology using BBD and desirability function is a promising approach to understand the effect of SMEDDS variables and to optimize the formulation.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.4
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据