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Characterizing hydrophobicity of interfaces by using cavity formation, solute binding, and water correlations

Hydrophobicity is often characterized macroscopically by the droplet contact angle. Molecular signatures of hydrophobicity have, however, remained elusive. Successful theories predict a drying transition leading to a vapor-like region near large hard-sphere solutes and interfaces. Adding attractions wets the interface with local density increasing with attractions. Here we present extensive molecular simulation studies of hydration of realistic surfaces with a wide range of chemistries from hydrophobic (−CF3, −CH3) to hydrophilic (−OH, −CONH2). We show that the water density near weakly attractive hydrophobic surfaces (e.g., −CF3) can be bulk-like or larger, and provides a poor quantification of surface hydrophobicity. In contrast, the probability of cavity formation or the free energy of binding of hydrophobic solutes to interfaces correlates quantitatively with the macroscopic wetting properties and serves as an excellent signature of hydrophobicity. Specifically, the probability of cavity formation is enhanced in the vicinity of hydrophobic surfaces, and water–water correlations correspondingly display characteristics similar to those near a vapor–liquid interface. Hydrophilic surfaces suppress cavity formation and reduce the water–water correlation length. Our results suggest a potentially robust approach for characterizing hydrophobicity of more complex and heterogeneous surfaces of proteins and biomolecules, and other nanoscopic objects.

Reference

Godawat R, Jamadagni SN and Garde S (). "Characterizing hydrophobicity of interfaces by using cavity formation, solute binding, and water correlations ," Proc. Natl. Acad. Sci. USA, 106(36), 15119-15124

Bibtex

@article{godawat2009characterizing,
  title   = {Characterizing hydrophobicity of interfaces by using cavity formation, solute binding, and water correlations},
  author  = {Godawat, Rahul and Jamadagni, Sumanth N and Garde, Shekhar},
  journal = {Proceedings of the National Academy of Sciences},
  volume  = {106},
  number  = {36},
  pages   = {15119--15124},
  year    = {2009},
  doi     = {10.1073/pnas.0902778106}
}