Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Applied Spectroscopy
  • Vol. 27,
  • Issue 6,
  • pp. 484-486
  • (1973)

Raman Spectra of Adsorbed Heterocyclic Molecules on Silica

Not Accessible

Your library or personal account may give you access

Abstract

Raman spectroscopy has been employed in several investigations of oxide surfaces. The technique appears to have a number of advantages over infrared absorption spectroscopy, which has been one of the more informative techniques in the study of surfaces and surface-absorbed molecules. The low Raman intensity of the spectrum of the silica substrate through the fingerprint region (700 to 2000 cm<sup>−1</sup>) permits the detection of structure-sensitive vibrations of the adsorbate molecule. This often allows the nature and degree of perturbation of the adsorbate molecule on the surface to be deduced. In addition, the technique is a sensitive method of studying the vibrations of symmetrical molecules on a surface. Further, Raman spectroscopy may provide a convenient means of detecting low energy transitions associated with H-bond formation and with torsional vibrations of the adsorbate. The principal limitation on the technique, at present, appears to be the restriction set on the amplification of the spectrum by the intensity of the background Raman scattering and the background emission continuum (i.e., so-called "fluorescence") due to the substrate.

PDF Article
More Like This
Surface enhanced Raman scattering (SERS) by molecules adsorbed at spherical particles: errata

Milton Kerker, Dau-Sing Wang, and H. Chew
Appl. Opt. 19(24) 4159-4174 (1980)

Surface enhanced Raman scattering (SERS) by molecules adsorbed at spherical particles

M. Kerker, D.-S. Wang, and H. Chew
Appl. Opt. 19(19) 3373-3388 (1980)

Role of site conversion in vibrational spectroscopy of adsorbed molecules

J. W. Gadzuk
J. Opt. Soc. Am. B 4(2) 201-210 (1987)

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.