DESIGN AND STATISTICAL OPTIMIZATION OF ANTACID ANALGESIC EFFERVESCENT TABLETS BY USING 2^3 FACTORIAL DESIGN

Abstract

Objective: The present research work was undertaken with an aim to formulate a combination dosage form constituting an antacid and analgesic which may be useful in case of hyperacidity associated headache.Methods: In this formulation, a mixture of magnesium and aluminium hydroxide was used as the antacid. Ibuprofen was used as analgesic drug while, citric acid and tartaric acid along with sodium bicarbonate were used as effervescent mixture. The prepared tablets of all the formulations were evaluated for physical characterization.Results: The infra red spectra revealed that there was no chemical interaction between the drug and excipients which showed their compatibility. The results of these studies were found to be within the standard Pharmacopoeial limits. The release character was studied using the disintegration and dissolution studies conducted. The results of 23 factorial design revealed that the amounts of crosspovidone, tartaric acid and citric acid used in effervescent formulation significantly affected the dependent variables i. e. Hardness, friability and disintegration time etc. The stability studies of the tablet formulation showed that the tablets remained stable even after exposing to stress condition of temperatures.Conclusion: It was thus concluded that by adopting a systematic formulation approach, optimized release mechanism can be reached in the shortest time with minimum efforts. 

Authors and Affiliations

Om Mahadeorao Bagade, Priyanka P. Kharat, Rohini R. Pujari, V. S. Raskar, Amruta M. Shete, Maduhri D. Vanve

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  • EP ID EP579617
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How To Cite

Om Mahadeorao Bagade, Priyanka P. Kharat, Rohini R. Pujari, V. S. Raskar, Amruta M. Shete, Maduhri D. Vanve (2014). DESIGN AND STATISTICAL OPTIMIZATION OF ANTACID ANALGESIC EFFERVESCENT TABLETS BY USING 2^3 FACTORIAL DESIGN. International Journal of Pharmacy and Pharmaceutical Sciences, 6(9), 453-459. https://europub.co.uk/articles/-A-579617