Formulation and Evaluation of a Hydrodynamically Balanced Drug Delivery System for Buformin in Antidiabetic Therapy

Authors

  • Basavaraj Shidagonnavar Research Scholar, School of Pharmacy, Monad University, Hapur-245304
  • S.A. Sreenivas Research Guide, School of Pharmacy, Monad University, Hapur-245304

Keywords:

Buformin, Gastro retentive DDS, Hydroxy propyl methyl cellulose, Ethyl cellulose

Abstract

The aim of this study is to develop and analyze Hydrodynamically drug delivery systems of buformin to improve the type II diabetic mellitus therapy. Using 24 factorial layouts, such as hydroxy propyl cellulose (HEC), hydrophobic fatty base, cetyl alcohol, and effervescent material sodium bi carbonate are all prepared in this work. (NaHCO3). All independent variables (HPMC K4M, HEC, Cetyl alcohol, and NaHCO3) were tested on drug release, including NaHCO3. According to the sixteen formulations of optimization phase, they were divided into five groups for ease of analysis as Group I, Group II, Group III, Group IV, Group V, and Group VI, with all variables changing at different levels. Examples of evaluation include the angle of repose, density, compressibility index, Hausner’s ratio, and key evaluation parameters such as thickness, hardness, friability, and swelling index. The angle of repose of F12 and F15 was both the highest and lowest for 30.15o and 15.23o respectively. The bulk density hit its highs for F8 and low for F4, while Carr’s index was the highest for F2 and lowest for F6, meaning that low values have the highest compressibility. In 400mL of 0. 1N Hcl, the floating capabilities of single tablets was determined. The drug testing was carried out at 235nm using dissolution media 0. 1N Hcl buffer pH 1.2. The results show that the design as well as the release of buformin from the tablets is heavily influenced by the variables chosen for the study. Rephrase The main effects of A, B, C, and D were determined by the average result of changing one variable at a time when it was not normal to its high level. The interaction terms (AB, AC, AD, BC, CD, ABD, CD, ABC, ABD, BCD, and ABCD) show how the dependent variables change when two, three, and four independent variables are simultaneously changed.

Dimensions

Published

2024-12-21