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首页> 外文期刊>Pharmaceutical development and technology >Fabrication and evaluation of captopril modified-release oral formulation.
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Fabrication and evaluation of captopril modified-release oral formulation.

机译:卡托普利缓释口服制剂的制备和评价。

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摘要

The present research was directed towards fabrication of modified-release captopril oral formulation. A 3(2) full factorial design was employed for optimization using captopril to Compritol ATO 888 ratio (X1) and extragranular fraction of ethyl cellulose (X2) as independent variables. The percentage drug released in 1 h (Y1) and the time required to release 80% of the drug (Y2) were selected as dependent variables. Eutectic blend of camphor and menthol was used as a solvent to facilitate the drug distribution in matrix. The optimized batch containing 50 mg captopril, 160 mg Compritol ATO 888 and 220 mg ethyl cellulose was formulated by overlapping the contour plots of Y1 and Y2. The responses Y1 and Y2 of optimized batch were 25% and 520 min, respectively. The kinetics of drug release was best explained by Korsmeyer-Peppas model. The results of artificial neural network were superior in prediction power than the factorial design for both the responses (Y1 and Y2).
机译:本研究致力于制备缓释卡托普利口服制剂。 3(2)全因子设计用于优化,使用卡托普利与Compritol ATO 888的比例(X1)和乙基纤维素的颗粒外级分(X2)作为自变量。选择1小时内释放的药物百分比(Y1)和释放80%的药物所需的时间(Y2)作为因变量。樟脑和薄荷醇的共晶共混物用作溶剂以促进药物在基质中的分布。通过重叠Y1和Y2的轮廓图来配制包含50 mg卡托普利,160 mg Compritol ATO 888和220 mg乙基纤维素的优化批次。优化批次的响应Y1和Y2分别为25%和520分钟。用Korsmeyer-Peppas模型可以最好地解释药物释放的动力学。对于这两个响应(Y1和Y2),人工神经网络的结果在预测能力上均优于因子设计。

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