Department of Pharmaceutics, Institute of Technology, Banaras Hindu University, Varanasi 221005, India.
AAPS PharmSciTech. 2009;10(3):977-84. doi: 10.1208/s12249-009-9285-3. Epub 2009 Jul 28.
The present investigation concerns with the development and optimization of an in situ forming formulation using 3(3) full factorial design experimentation. Metformin, an antidiabetic drug with upper part of gastrointestinal tract as absorption window was used as a model drug. The formulations were designed with an objective to retain in stomach for an extended time period. The effect of three independent factors--concentrations of sodium alginate (X(1)), gellan gum (X(2)), and metformin (X(3)) on in vitro drug release were used to characterize and optimize the formulation. Five dependent variables-release exponent (Y(1)), dissolution efficiency (Y(2)), drug release at 30 min (Y(3)), 210 min (Y(4)), and 480 min (Y(5)) were considered as optimization factors. The data were statistically analyzed using ANOVA, and a p < 0.05 was considered statistically significant. Three dimensional surface response plots were drawn to evaluate the interaction of independent variables on the chosen dependent variables. Of the prepared 27 formulations, the responses exhibited by batch F17 containing medium level sodium alginate (X(1)), low level gellan (X(2)), and medium level metformin (X(3)) were similar to the predicted responses.
本研究采用 3(3) 全因子设计实验,致力于开发和优化原位形成制剂。二甲双胍是一种具有上胃肠道吸收窗的抗糖尿病药物,被用作模型药物。制剂设计的目的是延长在胃中的停留时间。三个独立因素——海藻酸钠浓度(X(1))、结冷胶浓度(X(2))和二甲双胍浓度(X(3))对体外药物释放的影响,用于对制剂进行特征描述和优化。五个因变量——释放指数(Y(1))、溶解效率(Y(2))、30 分钟时的药物释放(Y(3))、210 分钟时的药物释放(Y(4))和 480 分钟时的药物释放(Y(5))被视为优化因素。数据采用方差分析进行统计学分析,p < 0.05 被认为具有统计学意义。绘制了三维表面响应图,以评估独立变量对所选因变量的相互作用。在所制备的 27 种制剂中,含有中水平海藻酸钠(X(1))、低水平结冷胶(X(2))和中水平二甲双胍(X(3))的批次 F17 的响应与预测响应相似。