Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • European Quantum Electronics Conference
  • Technical Digest Series (Optica Publishing Group, 1994),
  • paper QMF3

Understanding of interfacial hydrophobicity from surface vibrational sum-frequency spectroscopy

Not Accessible

Your library or personal account may give you access

Abstract

Knowledge of structure and properties of water molecules near hydrophobic interfaces is crucial for understanding many important fundamental and applied surface problems involving water. For instance, microscopic understanding of wetting or non-wetting of an interface by water molecules is one of those important but still open problems. The subject has motivated and stimulated a number of theoretical studies with numerical calculations in the past.1 However, because of the lack of suitable techniques, experimental studies on the subject have been rare or nonexistent. We show in this paper that it is possible to use sum-frequency generation (SFG) to obtain vibrational spectra of water at hydrophobic interfaces, and the results show that hydrophobicity is characterized by the appearance of dangling OH bonds on 25% of the surface water molecules. Moreover, our results show that the structure of water molecules depends on interface rigidity.

© 1994 IEEE

PDF Article
More Like This
Water structure at hydrophobic interfaces studied by sum-frequency generation

Quan Du, Eric Freysz, and Y. R. Shen
JThB5 Conference on Lasers and Electro-Optics (CLEO:S&I) 1994

Sum-frequency vibrational spectroscopic studies of water interfaces

Q. Du, E. Freysz, R. Superfine, and Y. R. Shen
QWA1 Quantum Electronics and Laser Science Conference (CLEO:FS) 1993

Experimental evaluation of the surface specificity of sum-frequency vibrational spectroscopy

X. Wei, S.-C. Hong, A.I. Lvovsky, H. Held, and Y. R. Shen
QFE3 Quantum Electronics and Laser Science Conference (CLEO:FS) 2000

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.