Development and Evaluation of a Hydrodynamically Balanced Oral Delivery System for Mitiglinide

Abstract

The purpose of this paper is to develop and analyze hydrodynamically drug delivery devices of mitiglinide in order to enhance the type II diabetic mellitus therapy. Hydroxy Ethyl cellulose (HEC), hydrophobic fatty base, cetyl alcohol, and effervescent material sodium bi carbonate are all used in this study. (NaHCO3) All independent variables (HPMC K4M, HEC, Cetyl alcohol, and NaHCO3) had an effect on drug shipments, according to the results. The sixteen formulations of optimization phase were divided into five groups for ease of interpretation as Group I, Group II, Group III, Group IV, and Group IV by changing all variables at different levels. Evaluation parameters include factors such as angle of repose, density, compression index, Hausner’s ratio, and key evaluation measures such as thickness, hardness, friability, weight variation, and swelling index. The angle of repose of F1 and F4 was both the highest and lowest for both measurements. 28.38^o and 24.02^o respectively, respectively, the bulk density was the highest for F9 and lowest for F11, while the Carr’s index was the highest for F4 and lowest for F15, indicating that low values have the greatest compressibility. The swelling index is more apparent for F16 as the best formulation, and these differences were insignificant, and the best retarders formulation was optimized by factorial plots and has the highest growth ratio of 22.81 for F16 formulation. In a 400mL of 0. 1N Hcl, the floating capabilities of single tablets was determined. The drug discovery experiments were carried out using dissolution media pH 1.2 at 235nm. The results show that the mode of the tablet as well as the release of mitiglinide from the tablets is strongly affected by the variables selected for the study. The main effects of A, B, C, and D are shown by the average result of changing one variable at a time when it was at its lowest level to its high level. The relationship terms (AB, AC, AD, BC, CD, ABC, ABD, BCD, and ABCD) show how the dependent variables change when two, three, and four independent variables are simultaneously changed.