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首页> 外文期刊>Drug delivery and translational research >Formulation and statistical optimization of self-microemulsifying drug delivery system of eprosartan mesylate for improvement of oral bioavailability
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Formulation and statistical optimization of self-microemulsifying drug delivery system of eprosartan mesylate for improvement of oral bioavailability

机译:改善依普沙坦甲磺酸酯自微乳化给药系统的口服生物利用度

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摘要

The present investigation is aimed to design a statistically optimized self-microemulsifying drug delivery system (SMEDDS) of eprosartan mesylate (EM). Preliminary screening was carried out to find a suitable combination of various excipients for the formulation. A 3(2) full factorial design was employed to determine the effect of various independent variables on dependent (response) variables. The independent variables studied in the present work were concentration of oil (X-1) and the ratio of Smix (X-2), whereas the dependent variables were emulsification time (s), globule size (nm), polydispersity index (pdi), and zeta potential (mV), and the multiple linear regression analysis (MLRA) was employed to understand the influence of independent variables on dependent variables. Furthermore, a numerical optimization technique using the desirability function was used to develop a new optimized formulation with desired values of dependent variables. The optimized SMEDDS formulation of eprosartan mesylate (EMF-O) by the above method exhibited emulsification time, 118.45 +/- 1.64 s; globule size, 196.81 +/- 1.29 nm; zeta potential, -9.34 +/- 1.2 mV, and polydispersity index, 0.354 +/- 0.02. For the in vitro dissolution study, the optimized formulation (EMF-O) and pure drug were separately entrapped in the dialysis bag, and the study indicated higher release of the drug from EMF-O. In vivo pharmacokinetic studies in Wistar rats using PK solver software revealed 2.1-fold increment in oral bioavailability of EM from EMF-O, when compared with plain suspension of pure drug.
机译:本研究旨在设计一种统计优化的甲磺酸依普罗沙坦(EM)的自微乳化药物递送系统(SMEDDS)。进行初步筛选以找到适合该制剂的各种赋形剂的组合。采用3(2)全因子设计来确定各种独立变量对因变量(响应)的影响。在本研究中研究的自变量是油的浓度(X-1)和混合比(X-2),而因变量是乳化时间(s),小球尺寸(nm),多分散指数(pdi) ,ζ电位(mV)和多元线性回归分析(MLRA)来了解自变量对因变量的影响。此外,使用期望函数的数值优化技术被用于开发具有所需因变量值的新优化公式。通过上述方法优化的甲磺酸依普罗坦的SMEDDS配方(EMF-O)的乳化时间为118.45 +/- 1.64 s;球大小,196.81 +/- 1.29 nm; zeta电位为-9.34 +/- 1.2 mV,多分散指数为0.354 +/- 0.02。对于体外溶出度研究,将优化的制剂(EMF-O)和纯药物分别包埋在透析袋中,该研究表明药物从EMF-O中的释放更高。使用PK求解器软件在Wistar大鼠中进行的体内药代动力学研究表明,与纯药物的普通混悬液相比,EMF-O产生的EM口服生物利用度提高了2.1倍。

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