Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Applied Spectroscopy
  • Vol. 52,
  • Issue 9,
  • pp. 1141-1144
  • (1998)

Near-Field Raman Spectral Measurement of Polydiacetylene

Not Accessible

Your library or personal account may give you access

Abstract

Two-dimensional near-field Raman spectra and topographic images of the polydiacetylene surface are measured simultaneously by using a near-field Raman spectrometer. The spectra (located 100 nm apart) have different spectral features. The peak intensity ratio of two C = C peaks at 1520 and 1457 cm-1 does not correlate with the topographic image and shows differences in the subwavelength scale. These differences can be interpreted as spatial differences in the number of successive bonds on the polydiacetylene surface. In contrast, the near-field Raman intensity of the C = C bond at 1457 cm-1 correlates strongly with the topographic image. This phenomenon can be interpreted as a change in the efficiency of collecting Raman scattering light.

PDF Article
More Like This
Optical Stark shifts of Raman gain spectra in polydiacetylene

S. D. Halle, M. Yoshizawa, H. Matsuda, S. Okada, H. Nakanishi, and T. Kobayashi
J. Opt. Soc. Am. B 11(5) 731-736 (1994)

Optical near-field Raman imaging with subdiffraction resolution

Pietro G. Gucciardi, Sebastiano Trusso, Cirino Vasi, Salvatore Patanè, and Maria Allegrini
Appl. Opt. 42(15) 2724-2729 (2003)

Near-field Raman imaging using optically trapped dielectric microsphere

Johnson Kasim, Yu Ting, You Yu Meng, Liu Jin Ping, Alex See, Li Lain Jong, and Shen Ze Xiang
Opt. Express 16(11) 7976-7984 (2008)

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.