Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Surface Raman Scattering as a Probe of Metal Surface Chemistry

Not Accessible

Your library or personal account may give you access

Abstract

Raman scattering is an attractive probe of surface and interfacial chemistry at metals due to the high degree of molecular specificity inherent in the results. One aspect of Raman scattering that enhances its utility for the study of metal surfaces is the ability to deduce orientational information about molecules at these metal surfaces from the presence of oriented electric fields at these surfaces with which selective vibrational modes can couple. These "surface selection rules" have been both theoretically described and experimentally validated for a variety of metal surfaces. Given the wealth of information available from such studies, potential applications for surface Raman scattering span the range from electrochemical to catalytic systems. Thus, considerable effort has been expended in an attempt to develop Raman scattering for the study of surface and interfacial phenomena. These efforts have largely been focused on overcoming problems attendant to sensitivity and selectivity for the interface in the presence of the bulk environment.

© 1992 Optical Society of America

PDF Article
More Like This
Surface Enhanced and Unenhanced Raman Scattering of Alkanethiols Adsorbed on Silver and Gold Surfaces

Christopher R. Johnston, Mark A. Bryant, and Jeanne E. Pemberton
MA2 Laser Applications to Chemical Analysis (LACSEA) 1990

Surface-enhanced Raman scattering in periodic and quasi-periodic metal-dielectric films

D. A. Genov, A. Wei, A. K. Sarychev, and Vladimir M. Shalaev
ThNN2 Frontiers in Optics (FiO) 2003

Stimulated Raman Scattering of Surface Electromagnetic Waves

A. N. Sudarkin and K. N. Ushakov
FrG4 International Quantum Electronics Conference (IQEC) 1992

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.