Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Applied Spectroscopy
  • Vol. 45,
  • Issue 8,
  • pp. 1333-1339
  • (1991)

Near-Infrared Raman Spectroscopy with a Scanning Spectrometer

Not Accessible

Your library or personal account may give you access

Abstract

This article shows that, by means of a conventional Raman spectrometer which has been carefully designed for near-IR Raman excitation, results can be obtained that are similar to those achieved with Fourier transform Raman instrumentation. We demonstrate the performance of such an apparatus on a variety of samples including examples of gaseous samples. As far as we know, up to now, no Raman spectra of gases have been published for excitation at 1064 nm. From a comparison of gas spectra excited at 1064 nm and 514 nm, we estimate the sensitivity of our apparatus to be at least three orders of magnitude lower than that for excitation in the green spectral region. Nevertheless, the main features in Raman spectra of gases can be recorded. High-performance solid-state spectra are compared with spectra recorded by means of FT techniques. They show superior sensitivity in the low-frequency range.

PDF Article
More Like This
Kinetic Spectroscopy in the Infrared: a Rapid-Scan Infrared Spectrometer

C. W. Hand, P. Z. Kaufmann, and R. M. Hexter
Appl. Opt. 5(7) 1097-1104 (1966)

1064  nm dispersive Raman spectroscopy of tissues with strong near-infrared autofluorescence

Chetan A. Patil, Isaac J. Pence, Chad A. Lieber, and Anita Mahadevan-Jansen
Opt. Lett. 39(2) 303-306 (2014)

Rapid Scanning Raman Spectroscopy

Michel Delhaye
Appl. Opt. 7(11) 2195-2199 (1968)

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.