Abstract:
The aim of the study was to optimize the coating formulation of sustained release pellets of loxoprofen sodium by the central composite design response surface methodology(RSM plus CCD)In the formulation design using RSM plus CCD. Independent variables were the ratio of HPMC to EC(X
1)in the sustained coating formulation and polymer load(weight gain,X
2) were selected as in dependent variables,and
in vitroaccumulated releases from the pellets at 1,4,and 8 h were dependent variables Multilinear,two and three order quadratic models were used to estimate the relationship between the dependent and the independent variables,and to delineate RSM and overlay contour plots in order to select the optimal formulations in compliance to the hypothesized
in vitro releases(%) at 1,4,and 8 hThe results showed that the relationship between dependent and independent variables was best fitted to three order quadratic equation.The regression equation generated for the hypothesized
in vitro cumulative releases(%) at 1,4,and 8 h were Q
1 h=227.699 2-30.785 9X
1-43.395 4X
2+0.917 4X
12+1.820 3 X
22+6.803 9X
1X
2-0.131 5X
12X
2-0.268 2X
1X
22,Q
4 h=408.254 0-47.427 8X
1-75.229 2X
2+3.304 0X
22+12.357 3X
1X
2-0.111 8X
12X
2-0.5425X
1X
22,Q
8 h=303.539 0-30.417 6X
1-45.114 0X
2+2.064 4X
22+6.865 0X
1X
2-0.334 1X
1X
22,respectively.In the optimized coating formulation,the ratio of HPMC to EC was 40% and the polymer load 90% Bias between observed and predicted values
in vitro accumulated releases were negligible,indicating the high predictability of the selected models.Therefore,RSM plus CCD is applicable in the optimization of the coating formulation of loxoprofen sodium sustained-release pellets.