Informatics Publishing Limited

D. Kamalakannan ¹, R. Vijay Amirtharaj ¹, N. Senthilkumar ¹

Affiliations
1 J.K.K. Munirajah Medical Research Foundation, College of Pharmacy, Komarapalayam-638183, Namakkal Dt, Tamilnadu, IN

Abstract

A simple, precise, accurate, rapid and reproducible RP-HPLC procedure was developed for simultaneous estimation of Telmisartan and Pioglitazone in pharmaceutical dosage form at a single wavelength. The mobile phase used was a combination of acetonitrile:0.5% triethylamine (pH 4.5 with orthophosphoric acid) (65:35). The detection of the combined dosage form was carried out at 210 nm and flow rate set 1.3 ml/mins. Linearity obtained in the concentration range of 10 to 50 μg/ml for Telmisartan and 7.5 to 37.5 μg/ml for Pioglitazone with correlation coefficient of 0.9997 and 0.9995 respectively. The result of analysis were validated statistically recovery studies confirmed by the accuracy of the proposed method.

Keywords

Simultaneous Estimation by RP-HPLC, Telmisartan, Pioglitazone.

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D. Kamalakannan ¹, V. Arun Baskar ¹, B. Prabu ¹

Affiliations
1 Dept. of Mech. Engg., Pondicherry Engg. College, Pondicherry, IN

Abstract

The material behaviour of elastomers can be simulated through Strain Energy Density (SED) function which can be defined by the following hyper plastic material models: (i) Neo-Hookean, (ii) Mooney-Rivlin, (iii) Yeoh and (iv) Ogden. The stress-strain relations of the above-mentioned SED functions for uni-axial tension, planar (pure shear) tension and equi-biaxial tension are validated with Treloar’s data. Different combinations of Treloar’s data are used to determine the co-efficient of SED functions of the above said models. These co-efficient values are determined using the software like ANSYS, MATLAB and POLYMATH and the validation of the results is carried out based on sum of squared error (SSE) which is calculated between the experimental values and predicted values. From the result, it is found that SSE less than 5 and closer to 0 can be taken as good prediction for selection of material model and co-efficient of material models. The engineering stress-strain behaviour of synthetic rubber (NBR) is obtained experimentally from uni-axial tension test and the co-efficient of SED functions are determined.

Keywords

Hyper Elasticity, Stress-Strain Function, Material Model, Mathematical Simulation, Regression Fit.

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