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Updated: Jun 13, 2025

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Controlling the Size, Shape and Stability of Supramolecular Polymers in Water
Published on: August 2, 2012
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Demystifying Preferential Solvation Phenomena.
1Retired Scientist, Knoxville, Tennessee 37922-3108, United States.
The Journal of Physical Chemistry. B
|June 2, 2025
Summary
This study introduces a molecular-based method to precisely assess preferential solvation in mixed solvents. The findings offer a universal framework for understanding solute behavior and solvent interactions in complex chemical systems.
Area of Science:
- Physical Chemistry
- Solution Chemistry
- Thermodynamics
Background:
- Preferential solvation describes how solutes interact differently with components of mixed solvents.
- Accurate assessment is crucial for understanding chemical reactions, protein behavior, and cosolvency phenomena.
- Existing models often lack a universal, molecular-based framework for diverse solvent systems.
Purpose of the Study:
- To derive a rigorous, molecular-based expression for assessing preferential solvation in any binary mixed-solvent system.
- To characterize a universal representation of the preferential solvation function (PS).
- To link the PS function to fundamental structure-making/breaking functions for mechanistic interpretation.
Main Methods:
- Developed formal expressions for inverting the Kirkwood-Buff approach to determine total correlation function integrals.
- Utilized molecular-scale perturbations and thermodynamic responses (solute's standard chemical potential) to define the PS function.
- Linked the universal PS function to fundamental structure-making/breaking functions (Sαβ).
Main Results:
- Established a unique, molecular-based signature for unambiguous assessment of preferential solvation.
- Formulated rigorous assessment for ternary systems, including dissociative and nondissociative species.
- Successfully linked preferential solvation to structure-making/breaking functions, enabling interpretation of cosolvent effects.
Conclusions:
- The derived universal preferential solvation function provides a robust framework for diverse solvent mixtures.
- This approach facilitates understanding of cosolvent effects on protein conformation, reaction kinetics, and cosolvency/co-nonsolvency.
- The molecular-scale insights offer a powerful tool for designing and optimizing chemical processes in mixed solvents.
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