Sastry S V, Khan M A
Division of Basic Pharmaceutical Sciences, School of Pharmacy, Northeast Louisiana University, Monroe 71209, USA.
Pharm Dev Technol. 1998 Nov;3(4):423-32. doi: 10.3109/10837459809028623.
The main objective of the study was to use the statistical response surface methodology to evaluate the effect of formulation variables and their interaction on drug release in atenolol gastrointestinal therapeutic system (GITS) development coated with cellulose acetate (CA) pseudolatex system. A three-factor, three-level, face-centered design was employed to evaluate the quadratic response surface, and to achieve the desired response in atenolol delivery. Coating was achieved by spraying plasticized CA pseudolatex on atenolol bilayered tablets in a Uni-Glatt fluidized-bed coater. The independent variables were orifice size (X1), percent coating weight gain (X2) and Carbopol 934P (X3). The response variable (Y1) was time for 50% (t50%) drug dissolution with a constraint on cumulative percent released in 24 hr (Y2). The polynomial equation obtained was Y1 = 61.88 - 3779.8X1 + 1.89X2 - 3.95X3 - 266.87 X1X2 - 1675X1X3 + 0.07X2X3 + 215123X1(2) + 0.06X2(2) + 0.10X3(2). Contour and response plots were used to relate the independent and dependent variables. The optimization procedure predicted a t50% of 10.83 hr with 92% atenolol release in 24 hr when orifice size (X1), percent coating weight gain (X2), and Carbopol 934P (X3) were 0.014 in., 13%, and 20 mg, respectively. Preparation and testing of optimized formulation showed a good correlation between the predicted and observed values.
该研究的主要目的是运用统计响应面法,评估在采用醋酸纤维素(CA)伪胶乳体系包衣的阿替洛尔胃肠治疗系统(GITS)研发中,制剂变量及其相互作用对药物释放的影响。采用三因素、三水平、面心设计来评估二次响应面,并在阿替洛尔给药中实现预期响应。包衣是通过在Uni-Glatt流化床包衣机中将增塑的CA伪胶乳喷涂在阿替洛尔双层片上完成的。自变量为孔口尺寸(X1)、包衣增重百分比(X2)和卡波姆934P(X3)。响应变量(Y1)是药物溶解50%(t50%)的时间,同时对24小时内的累积释放百分比有一定限制(Y2)。得到的多项式方程为Y1 = 61.88 - 3779.8X1 + 1.89X2 - 3.95X3 - 266.87 X1X2 - 1675X1X3 + 0.07X2X3 + 215123X1² + 0.06X2² + 0.10X3²。等高线图和响应图用于关联自变量和因变量。当孔口尺寸(X1)、包衣增重百分比(X2)和卡波姆934P(X3)分别为0.014英寸、13%和20毫克时,优化程序预测t50%为10.83小时,24小时内阿替洛尔释放率为92%。优化制剂的制备和测试表明预测值与观测值之间具有良好的相关性。