Solubility Prediction of Lornoxicam in Different Pure Solvents Using Semi-Empirical Correlations and Thermodynamic Models

Year 2023, , 12 - 16, 14.03.2023

Rahul Kumar , A. K. Thakur A. Kulabhi A. Mishra

https://doi.org/10.5541/ijot.1138056

Abstract

The solubility data of Active Pharmaceutical Ingredients in organic solvents is an essential for pharmaceutical crystallization and drug formulation. In this work, two semi-empirical correlations- the Yaws model and λ-h model- and two thermodynamic models – Wilson Model and the Non-random two-liquid model- are used to estimate the solubility of lornoxicam in ethanol and water. The model parameters and correlations coefficients are calculated by optimizing the average relative deviation. The values of these parameters will be helpful to estimate the solubility of lornoxicam at different temperatures where the experimental solubility data is not available. The predicted solubility data of lornoxicam can be further utilized in the pharmaceutical crystallization and drug formulation.

Keywords

Solubility, Crystallization, lornoxicam, thermodynamic models, mixing property

Supporting Institution

University of Petroleum & Energy Studies Dehradun

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