Design, Development and Optimization of Glibenclamide Sustained Release Matrix Tablet by Using Natural Polymers

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Author(s): Kuldeep H. Ramteke*, Dipika E. Ghadge, Savita A. Palve, Sachin S. Gaikwad.

Journal Name: Current Applied Polymer Science

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Background: Tablets being the conventional dosage forms can be modified for providing desired therapeutic effect to the patients. The network of matrix in the tablet allows the drug release to be slowed down considerably.

Objective: The prime objective of the study was to formulate sustained release glibenclamide matrix tablets using locust bean gum and karaya gum as matrix polymer.

Methods: Tablets were formulated by optimization using 32 factorial designs by direct compression method using different drug: polymer concentrations. The dependent variables selected were, % cumulative drug release (Y1), % drug content (Y2).The independent variables are amount of locust bean gum (X1) and karayagum (X2). Drug-polymer compatibility studies were confirmed by FTIR and DSC. The pre-compression properties of powder were assessed indicating a good flow property. The evaluation results of the tablets were found to be within the Indian Pharmacopoeial limit. In this work the effect of diluents type and polymer type was studied on the drug release with its increase in concentration.

Results: All the formulations showed retarded drug release as the concentration of thepolymer was increased. Formulation F8 was selected as the best optimized formulation with about 100.56% drug release within 12 h. Release kinetics was carried out and it was found to be zero order release and from assay drug content was found to be in limits.

Conclusion: ANOVA analysis indicated that the studied variables affected the response variables significantly. The optimized formulation was stable. Hence it is concluded that, The Glibenclamide sustained release matrix tablet containing natural polymers were successfully formulated by using 32 factorial design.

Keywords: Karaya Gum, Locust bean Gum, Matrix Tablet, P-XRD, DSC, ANOVA analysis

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(E-pub Ahead of Print)
DOI: 10.2174/2452271603666191104151057