Recently, increasing interest has been reported in applying ionic liquids (ILs) in separating alcohols and proteins, an important process for several industrial and pharmaceutical applications. Traditional separation processes are poorly effective, with low selectivity, high energy consumption, and environmental problems. This review presents special properties of ILs concerning tunability and remarkable solvation ability that hold great promise for separation processes. The IL stationary phases modified with certain functional groups can enhance the interaction between IL and target molecules, increasing separation efficiency. Notably, the amino group-modified ILs were able to separate proteins by charge and size, a greener bioseparation technique owing to the low volatility and easy recyclability of ILs. AI's role in designing highly selective ILs for particular targets is discussed. Design of ILs, selection of solvent, and process optimization will be developed by applying techniques such as machine learning, molecular modeling, and data mining. Further, the review discusses the economic and environmental benefits of IL-based separations, and an attempt is made to discuss its cost-saving and resource-efficiency aspects. Separation of sugar alcohols using ILs, along with a discussion on advanced techniques, has been presented given their tunable solubility and low volatility being regarded as main issues in enhancing the separation processes. It also discusses the design of task-specific ILs for separating methanol from ethanol, which shows high selectivity toward methanol. Finally, the history of IL development, with current challenges in separating alcohols and proteins, gives a view of future research related to sustainable separation using ILs.
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