Suppr超能文献

使用实验设计评估制剂因素对BCS II类药物从片剂剂型释放行为的影响。

Assessment of formulation factors on the release behaviour of BCS Class II drug from tablet dosage form using DoE.

作者信息

Syamala Urmila Sri, Kumar Raman Suresh, Pushkarajan Tambi Anuj, Gowthamarajan Kuppuswamy

机构信息

Department of Pharmaceutics, JSS College of Pharmacy (A constituent college of JSS University Mysore) Rocklands, The Nilgiris, Ootacamund.

出版信息

Curr Drug Deliv. 2014;11(4):511-20. doi: 10.2174/156720181104140626121252.

Abstract

A model immunosuppressant BCS Class II drug was selected for the work to assess the formulation variables on the release rate using design of experiment (DoE) - Stat-Ease software. Surface solid dispersion was prepared with dichloromethane (DCM) and ethanol mixture (4:1), and converted to tablet by adsorption on a neutral carrier. Different batches were prepared with DoE full factorial design. The concentrations of Polaxamer 188, Kollidon CL and magnesium stearate were found to be the critical factors affecting the performance of the tablets. These parameters were selected as the independent variables in DoE and the formulated batches were evaluated for their percentage release at 120 minutes. The actual and predicted plots fall close to the line. ANOVA (partial sum squares-type-III) reveals the model with F-value of 1417.12 which implies significant. The optimized batch with dissolution profile of 99.6% falls close to the innovator product 98.8%.

摘要

选择一种典型的免疫抑制剂BCS II类药物开展此项工作,使用实验设计(DoE)——Stat-Ease软件评估制剂变量对释放速率的影响。采用二氯甲烷(DCM)和乙醇混合物(4:1)制备表面固体分散体,并通过吸附在中性载体上制成片剂。采用DoE全因子设计制备不同批次的样品。发现泊洛沙姆188、共聚维酮CL和硬脂酸镁的浓度是影响片剂性能的关键因素。在DoE中将这些参数选为自变量,并对所制备批次在120分钟时的释放百分比进行评估。实际曲线和预测曲线与直线接近。方差分析(偏和平方和-III型)显示模型的F值为1417.12,表明具有显著性。优化批次的溶出度为99.6%,与原研产品的98.8%接近。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验