Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Applied Spectroscopy
  • Vol. 41,
  • Issue 1,
  • pp. 126-130
  • (1987)

Remote, Long-Pathlength Cell for High-Sensitivity Raman Spectroscopy

Not Accessible

Your library or personal account may give you access

Abstract

Fiber optics were used to interface a Raman spectrometer to a long (1 m) sample tube, with the objective being increased sensitivity. Internal reflection of the laser light and the Raman scatter within the sample tube permitted a long solution length to be sampled, increasing the Raman sensitivity by factors of 30-50 over conventional capillary tube sampling systems. In addition, the sample was subjected to much lower power densities than with systems employing a focused beam, thus minimizing radiation damage. Detection limits of 10<sup>−9</sup> to 10<sup>−8</sup> M were achieved for resonance Raman scatterers, and normal Raman scatterers could be detected at the 1 × 10<sup>−5</sup> M level.

PDF Article
More Like This
Long fiber-optic remote Raman probe for detection and identification of weak scatterers

Christian L. Schoen, Thomas F. Cooney, Shiv K. Sharma, and David M. Carey
Appl. Opt. 31(36) 7707-7715 (1992)

Remote Raman spectroscopy of natural rocks

Genesis Berlanga, Tayro E. Acosta-Maeda, Shiv K. Sharma, John N. Porter, Przemyslaw Dera, Hannah Shelton, G. Jeffrey Taylor, and Anupam K. Misra
Appl. Opt. 58(32) 8971-8980 (2019)

An Optical Cell for Long Pathlengths at Low Temperatures

A. R. W. McKellar, N. Rich, and V. Soots
Appl. Opt. 9(1) 222-223 (1970)

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.