Design of Nonideal Eutectic Mixtures Based on Correlations with Molecular Properties

Area of Science:

• Physical Chemistry
• Materials Science
• Chemical Engineering

Background:

• Eutectic mixtures exhibit nonideal behavior.
• Predicting and designing these mixtures is crucial for applications.
• Deep eutectic systems (DES) offer tunable properties.

Purpose of the Study:

• To correlate molecular properties with nonideal behavior in eutectic mixtures.
• To develop a statistical model for predicting nonideality and eutectic temperature.
• To establish a foundation for the *a priori* design of eutectic mixtures.

Main Methods:

• Statistical analysis using principal components.
• Utilizing a combination of experimental, theoretical, and computed molecular properties as descriptors.
• Developing a predictive statistical model integrating theory and experimental data.

Main Results:

• Identified strong correlations between nonideality and acidity of hydrogen bond donors, bromide anion displacement, and quaternary ammonium salt bulkiness.
• Highlighted design rules for deep eutectic systems (DES) to control liquid window extent.
• Developed a model capable of predicting eutectic temperatures for related mixtures.

Conclusions:

• Molecular properties significantly influence the nonideal behavior of eutectic mixtures.
• The developed model and analysis provide a pathway for the rational design of eutectic mixtures.
• This work advances the understanding and application of deep eutectic systems (DES).