用半经验关联和热力学模型预测氯诺昔康在不同纯溶剂中的溶解度

Pub Date : 2022-12-14 DOI:10.5541/ijot.1138056

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

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引用次数: 0

摘要

活性药物成分在有机溶剂中的溶解度数据是药物结晶和药物配方研究的重要数据。在这项工作中，使用两个半经验相关性-雅司模型和λ-h模型-和两个热力学模型-威尔逊模型和非随机双液体模型-来估计氯诺昔康在乙醇和水中的溶解度。通过优化平均相对偏差计算模型参数和相关系数。这些参数的值将有助于估计氯诺昔康在不同温度下的溶解度，在没有实验溶解度数据的情况下。氯诺昔康的溶解度预测数据可进一步用于药物结晶和药物配制。

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

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.

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