Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Applied Spectroscopy
  • Vol. 42,
  • Issue 7,
  • pp. 1188-1193
  • (1988)

Development of Near-Infrared Fourier Transform Raman Spectroscopy for the Study of Biologically Active Macromolecules

Not Accessible

Your library or personal account may give you access

Abstract

General advantages and potential limitations of Fourier transform (FT) Raman spectroscopy using Nd:YAG laser excitation at 1064 nm have been considered for both routine analysis and specific biophysical applications. Optical design and operating parameters which affect the quality and reproducibility of the data are discussed. Moderately high resolution spectra (0.25 cm<sup>−1</sup>) of liquids are obtained with relative ease, and the results are compared with dispersive spectra. Particular emphasis has been placed on applications to biological systems where intrinsic fluorescence has traditionally limited the use of dispersive Raman spectroscopy. As an example of a biophysical study, we demonstrate the utility of FT-Raman spectroscopy in elucidating the interactions of polyene antibiotics with model membrane lipid bilayers as a means of understanding novel drug/membrane interactions at the molecular level.

PDF Article
More Like This
Fourier transform infrared spectroscopy: recent developments

Peter R. Griffiths
Appl. Opt. 17(9) 1315-1317 (1978)

Near-infrared Raman spectroscopy of single optically trapped biological cells

Changan Xie, Mumtaz A. Dinno, and Yong-qing Li
Opt. Lett. 27(4) 249-251 (2002)

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.