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Published on: September 20, 2017
Pairwise-additive hydrophobic effect for alkanes in water
Jianzhong Wu1, John M Prausnitz
1Department of Chemical and Environmental Engineering, University of California, Riverside, CA 92521, USA.
The hydrophobic effect in water is pairwise additive for alkanes, suggesting it is a local phenomenon. This interaction can be modeled using a semiempirical force field based on hydration layer overlap volume.
Area of Science:
- Physical Chemistry
- Computational Chemistry
- Chemical Physics
Background:
- The hydrophobic effect is a key phenomenon in aqueous solutions, influencing molecular interactions and self-assembly.
- Understanding the nature of hydrophobic interactions is crucial for fields ranging from drug design to materials science.
Purpose of the Study:
- To investigate the pairwise additivity of the hydrophobic effect for alkanes in water.
- To determine if the hydrophobic interaction can be represented by a semiempirical force field.
- To compare hydrophobic potential calculations using different simulation methods.
Main Methods:
- Analysis of experimental Henry's constants for various linear and branched alkanes.
- Development of a semiempirical model for hydrophobic potential based on hydration layer overlap volume.
- Comparison of calculated hydrophobic potential values with those from quantum mechanics and classical molecular dynamics simulations.
Main Results:
- Experimental Henry's constants indicate pairwise additivity of the hydrophobic effect for alkanes.
- The hydrophobic effect is primarily a local phenomenon, supporting the use of a semiempirical force field.
- The calculated contact value of the hydrophobic potential between methane molecules (-0.72 kcal/mol) aligns well with classical molecular dynamics results (-0.5 to -0.9 kcal/mol).
Conclusions:
- The hydrophobic effect for alkanes in water exhibits pairwise additivity.
- Hydrophobic interactions can be effectively modeled as a local phenomenon using semiempirical force fields.
- The semiempirical model provides a valuable and computationally efficient approach to studying hydrophobic interactions, complementing more computationally intensive methods.
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