Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Applied Spectroscopy
  • Vol. 70,
  • Issue 5,
  • pp. 861-873
  • (2016)

Portable Deep-Ultraviolet (DUV) Raman for Standoff Detection

Not Accessible

Your library or personal account may give you access

Abstract

Alakai Defense Systems has recently developed a man-portable ultraviolet Raman spectrometer system. The portable Raman improvised explosives detector was designed to provide rapid, standoff detection of chemicals of interest to the end user, including, but not limited to explosives, narcotics, toxic industrial chemicals, and toxic industrial materials. In this paper, we discuss general aspects of the system design and user interface. Spectral and instrument performance data are shown for several common materials involved in narcotics manufacture, as well as cocaine and heroin, with comparisons to currently marketed handheld Raman instruments.

© 2016 The Author(s)

PDF Article
More Like This
Standoff and arms-length detection of chemicals with single-beam coherent anti-Stokes Raman scattering

Haowen Li, D. Ahmasi Harris, Bingwei Xu, Paul J. Wrzesinski, Vadim V. Lozovoy, and Marcos Dantus
Appl. Opt. 48(4) B17-B22 (2009)

Coherent mode-selective Raman excitation towards standoff detection

Haowen Li, D. Ahmasi Harris, Bingwei Xu, Paul J. Wrzesinski, Vadim V. Lozovoy, and Marcos Dantus
Opt. Express 16(8) 5499-5504 (2008)

Portable standoff spectrometer for hazard identification using integrated quantum cascade laser arrays from 6.5 to 11 µm.

Mark F. Witinski, Romain Blanchard, Christian Pfluegl, Laurent Diehl, Biao Li, Kalyani Krishnamurthy, Brandt C. Pein, Masud Azimi, Peili Chen, Gokhan Ulu, Greg Vander Rhodes, Chris R. Howle, Linda Lee, Rhea J. Clewes, Barry Williams, and Daryoosh Vakhshoori
Opt. Express 26(9) 12159-12168 (2018)

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.