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

SERRS and surface fluorescence of laser dyes adsorbed on Ag film

Not Accessible

Your library or personal account may give you access

Abstract

Surface enhancement of resonance Raman scattering (SERRS) from a series of laser dyes (sodium fluorescein, rhodamine 6G, rhodamine 110, rhodamine B, DCM, and coumarins) adsorbed on chemically deposited silver film is presented. The observed Ag–O, Ag–N spectral lines at ~200 cm−1 confirm the chemisorbed nature of most dye molecules on the Ag surface. An assignment of the SERRS spectra of sodium fluorescein at various pH values verifies the structural and configurational changes of their cationic, neutral, and anionic forms and implies their different interaction behavior with the Ag surface. Sodium fluorescein is found to be a good surface fluorescence probe molecule owing to the sensitive change of its quantum efficiency with the pH value in solution. On Ag film, the fluorescence of sodium fluorescein becomes more intense as its quantum efficiency goes down. Comparing the fluorescence of laser dye on Ag film and a silica surface, we find that it is quenched on very low coverage Ag film and is enhanced on a moderate coverage Ag film.

© 1987 Optical Society of America

PDF Article
More Like This
Picosecond Investigations on the Fluorescence Properties of Adsorbed Dye Molecules

F. R. Aussenegg, S. Draxler, A. Leitner, M. E. Lippitsch, and M. Riegler
MKK3 International Quantum Electronics Conference (IQEC) 1984

Quantum efficiency of laser dyes in aerogels

Halit S. Gokturk and Timothy R. Hart
FHH1 OSA Annual Meeting (FIO) 1992

Structural and dynamic studies of adsorbates on metal surfaces using second harmonic generation

H. L. DAI, D. HESKETT, J. HICKS, E. W. PLUMMER, K. J. SONG, and L. URBACH
WNN2 International Quantum Electronics Conference (IQEC) 1987

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.