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Salting-out effects by pressure-corrected 3D-RISM
Maksim Misin1, Petteri A Vainikka2, Maxim V Fedorov1
1Department of Physics, SUPA, University of Strathclyde, 107 Rottenrow, Glasgow G4 0NG, United Kingdom.
A new computational model accurately predicts salting-out constants for organic compounds in salt solutions. This pressure-corrected reference interaction site model offers a simpler alternative to complex methods.
Area of Science:
- Computational chemistry
- Physical chemistry
- Chemical thermodynamics
Background:
- Salting-out phenomena are crucial in understanding the solubility of organic compounds in aqueous solutions.
- Accurate prediction of salting-out constants is important for various chemical and biochemical processes.
- Existing methods for predicting salting-out constants can be computationally intensive or require extensive parametrization.
Purpose of the Study:
- To develop and validate a computational model for predicting salting-out (Setschenow's) constants.
- To assess the accuracy of the pressure-corrected three-dimensional reference interaction site model (3D-RRISM) for diverse organic compounds.
- To provide a computationally efficient alternative to existing prediction methods.
Main Methods:
- Utilized a pressure-corrected three-dimensional reference interaction site model (3D-RRISM).
- Employed classical molecular force fields for simulations.
- Calculated salting-out constants for various organic compounds in aqueous NaCl solutions.
Main Results:
- The 3D-RRISM model accurately predicted salting-out constants across a wide range of organic compounds.
- The model demonstrated good agreement with experimental data.
- The approach showed effectiveness in aqueous solutions of sodium chloride (NaCl).
Conclusions:
- The pressure-corrected 3D-RRISM model provides an accurate and efficient method for predicting salting-out constants.
- This classical molecular force field-based approach serves as a viable alternative to more complex, heavily parametrized methods.
- The findings have implications for understanding and predicting compound behavior in aqueous salt solutions.
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