Coherent anti-stokes raman spectroscopy for detecting explosives in real-time

Arthur Dogariu, Alex Pidwerbetsky

Research output: Chapter in Book/Report/Conference proceedingConference contribution

16 Scopus citations

Abstract

We demonstrate real-time stand-off detection and imaging of trace explosives using collinear, backscattered Coherent Anti-Stokes Raman Spectroscopy (CARS). Using a hybrid time-resolved broad-band CARS we identify nanograms of explosives on the millisecond time scale. The broad-band excitation in the near-mid-infrared region excites the vibrational modes in the fingerprint region, and the time-delayed probe beam ensures the reduction of any non-resonant contributions to the CARS signal. The strong coherent enhancement allows for recording Raman spectra in real-time. We demonstrate stand-off detection by acquiring, analyzing, and identifying vibrational fingerprints in real-time with very high sensitivity and selectivity. By extending the focused region from a 100-micron sized spot to a 5mm long line we can obtain the spectral information from an extended region of the remote target with high spatial resolution. We demonstrate fast hyperspectral imaging by one-dimensional scanning of the Line-CARS. The three-dimensional data structure contains the vibrational spectra of the target at each sampled location, which allows for chemical mapping of the remote target.

Original languageEnglish (US)
Title of host publicationChemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XIII
DOIs
StatePublished - Dec 3 2012
EventChemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XIII - Baltimore, MD, United States
Duration: Apr 24 2012Apr 27 2012

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume8358
ISSN (Print)0277-786X

Other

OtherChemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XIII
CountryUnited States
CityBaltimore, MD
Period4/24/124/27/12

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

Keywords

  • Cars
  • Hyperspectral imaging
  • Raman
  • Remote detection

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