This study critically evaluates the fidelity of published correlation parameters used in modeling liquid-liquid equilibrium (LLE) systems. As accurate phase behavior predictions are vital for designing separation processes, particularly in solvent extraction and chemical engineering applications, the reliability of reported parameters—often derived from empirical or semi-empirical models—remains under scrutiny. Through a comprehensive review and re-evaluation of selected literature datasets, this research identifies discrepancies between experimental data and model predictions, highlighting instances of poor parameter reproduction, inconsistencies in data sources, and gaps in methodological transparency. The analysis underscores the importance of standardization, reproducibility, and rigorous validation in publishing LLE parameters. Ultimately, the findings advocate for enhanced peer-review protocols and the adoption of open-access databases to improve trust and utility in LLE modeling across academia and industry.

Liquid-liquid equilibrium, correlation parameters, model fidelity

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