Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Applied Spectroscopy
  • Vol. 62,
  • Issue 2,
  • pp. 166-170
  • (2008)

Excess Infrared Absorption Spectroscopy and Its Applications in the Studies of Hydrogen Bonds in Alcohol-Containing Binary Mixtures

Not Accessible

Your library or personal account may give you access

Abstract

Excess infrared (IR) absorption spectroscopy, a new concept brought forward by applying the idea of excess thermodynamic functions to infrared spectroscopy, is shown to be a potential method to study hydrogen bonds. It can be applied to enhance spectral resolution of complexed IR bands, to evaluate nonideality of liquid mixtures, and to estimate selective molecular interactions. The sign of the excess infrared absorption coefficient is also of importance in providing information on molecular interactions. The results demonstrate that excess infrared absorption spectroscopy can unveil new information on hydrogen bonding in condensed phases.

PDF Article
More Like This
The Infrared Absorption Spectra of Mixtures of Alcohol and Water

Dudley Williams, R. D. Weatherford, and E. K. Plyler
J. Opt. Soc. Am. 26(4) 149-152 (1936)

Terahertz reflection spectroscopy of Debye relaxation in polar liquids [Invited]

Uffe Møller, David G. Cooke, Koichiro Tanaka, and Peter Uhd Jepsen
J. Opt. Soc. Am. B 26(9) A113-A125 (2009)

Molecular dynamic investigation of ethanol-water mixture by terahertz-induced Kerr effect

Hang Zhao, Yong Tan, Rui Zhang, Yuejin Zhao, Cunlin Zhang, Xi-Cheng Zhang, and Liangliang Zhang
Opt. Express 29(22) 36379-36388 (2021)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

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.