OPTIMIZATION AND VALIDATION OF MODULATED RELEASE FORMULATION OF RANITIDINE HCL BY RESPONSE SURFACE METHODOLOGY
Abstract
The objective of the present study was, 1) to systematically device a model of factors that would yield an optimized sustained release dosage form of model drug (Ranitidine HCl), 2) to validate the models using R2 values, 3) to optimize the formulation by response surface methodology (RSM). A three - factor, three - level Box-Behnken design was used for the optimization procedure, with the amounts of HPMC K100M (X1), MCC (X2) and Compression Force (X3) as independent variables. Three dependent variables were considered: percentage of drug release at 1 h, 12 h and T50%. The regression equation obtained from experiment i. e Y2 = 92.41 + 3.18X1+ 2.05 X2 + 2.14X3 + 2.41X1X2 + 0.24 X1X3 + 0.11 X2X3 -3.82X12- 2.59X22 -0.46X32 , explained the main and interaction effects of factors that influenced the drug release. Optimization was performed by maximizing the drug release in 12 hrs and placing constraints on Y1, Y2 and Y3. Validation of optimization by carrying out by performing 8 experimental runs showed high degree of prognostic ability of response surface methodology. The results showed that the optimized formulation provided a dissolution pattern similar to the predicted curve, which indicated that the optimal formulation could be obtained using RSM. A simple high performance liquid chromatography method was developed and the dissolution samples were analysed by this procedure.
Keywords:
Optimization, sustained release, Ranitidine HCl, Response surface methodology (RSM), ValidationDOI
https://doi.org/10.25004/IJPSDR.2011.030103References
2. Goehl MC, Amin A. Formulation optimization of controlled release diclofenac sodium microspheres using factorial design. J. Control. Release 1998; 51 (2): 115-122.
3. Hamed E, Sakra A. Application of multiple response optimization technique to extended release formulation design. J Control. Release 2001; 73 (3):329-338.
4. Sanchez – Lafuente C, Furlanetto S, Fernandez-Arevalo M. Didanosine extended release matrix tablets: optimization of formulation variables using statistical experimental design. Int. J. Pharm. 2002; 237 (5):107-118.
5. Boza A, De la Cruz Y, Jordan G, Jauregui – Haza U, Aleman A, Caraballo. Statistical optimization of a sustained release matrix tablet of lobenzarit disodium. Drug Dev. Ind. Pharm 2000; 26 (2):1303 -1307.
6. Box GEP, Wilson KB. On the experimental attainment of optimum multifactorial conditions. J. Roy. Statist. Soc. Ser. B. Metho. 1951; 13(4):1- 45.
7. Box GEP, Behnken DW. Some new three level designs for the study of quantitative variables. Technometrics 1960; 2: 455 - 475.
8. Sahoo BK, Gowda V, Ghosh A, Bose A, Pal TK. Statistical Evaluation of HPMC Influence on drug release pattern of a F DDS. Pharmind 2009; 71(8):1423-1428.
9. Ragonese R, Macka M, Hughes J, Petocz P. The use of Box – Behnken experimental design in the optimization and robustness testing of a capillary electrophoresis method for the analysis of ethambutol hydrochloride in a pharmaceutical formulation. J. Pharm. Biomed. Anal. 2002; 27(6): 995-1007.
10. Nutan MTH, Soliman MS, Taha EI, Khan MA. Optimizations and characterization of controlled release multiparticulate beads coated with starch acetate. Int. J. Pharm 2005; 294:89-101.
11. Singh SK, Dodge J, Durrani MJ, Khan MA. Optimization and characterization of controlled release pellets coated with experimental latex Anionic drug. Int. J. Pharm 1995; 125:243-255.
Published

