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Thermodynamic models for predicting and correlating solid–liquid phase equilibrium
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DOI：10.1039/D5CP02059J.png)
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Abstract
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Thermodynamic models are indispensable tools for predicting and analyzing the behavior of substances under varying temperature conditions. They provide crucial guidance for new process development; process optimization; process design; etc. By using suitable thermodynamic models to describe and predict the solid–liquid phase equilibria of compounds; researchers can significantly reduce experimental efforts and improve the efficiency of product design. Although a variety of models are currently available for solubility prediction; their applicability is often constrained by certain limitations; and a fully comprehensive model has yet to be developed. This review aims to discuss several widely used thermodynamic models in chemical engineering; detailing their applicability and predictive performance across a broad spectrum of systems; including organic compounds; inorganic salts and complex multicomponent mixtures; and their key limitations and challenges associated. Additionally; specific solubility scenarios are highlighted along with the models that have successfully predicted solubility in these contexts. In the future; thermodynamic models should be designed to be modular; comprehensible; and easily updatable. Such improvements are essential to ensure their effective application across various industrial settings; whether dealing with pure compounds or complex multicomponent mixtures.
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