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Proceedings Paper

Overview: MURI Center on spectroscopic and time domain detection of trace explosives in condensed and vapor phases
Author(s): James B. Spicer; Paul Dagdigian; Robert Osiander; Joseph A. Miragliotta; Xi-Cheng Zhang; Roland Kersting; David R. Crosley; Ronald K. Hanson; Jay Jeffries
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Paper Abstract

The research center established by Army Research Office under the Multidisciplinary University Research Initiative program pursues a multidisciplinary approach to investigate and advance the use of complementary analytical techniques for sensing of explosives and/or explosive-related compounds as they occur in the environment. The techniques being investigated include Terahertz (THz) imaging and spectroscopy, Laser-Induced Breakdown Spectroscopy (LIBS), Cavity Ring Down Spectroscopy (CRDS) and Resonance Enhanced Multiphoton Ionization (REMPI). This suite of techniques encompasses a diversity of sensing approaches that can be applied to detection of explosives in condensed phases such as adsorbed species in soil or can be used for vapor phase detection above the source. Some techniques allow for remote detection while others have highly specific and sensitive analysis capabilities. This program is addressing a range of fundamental, technical issues associated with trace detection of explosive related compounds using these techniques. For example, while both LIBS and THz can be used to carry-out remote analysis of condensed phase analyte from a distance in excess several meters, the sensitivities of these techniques to surface adsorbed explosive-related compounds are not currently known. In current implementations, both CRDS and REMPI require sample collection techniques that have not been optimized for environmental applications. Early program elements will pursue the fundamental advances required for these techniques including signature identification for explosive-related compounds/interferents and trace analyte extraction. Later program tasks will explore simultaneous application of two or more techniques to assess the benefits of sensor fusion.

Paper Details

Date Published: 11 September 2003
PDF: 7 pages
Proc. SPIE 5089, Detection and Remediation Technologies for Mines and Minelike Targets VIII, (11 September 2003); doi: 10.1117/12.487531
Show Author Affiliations
James B. Spicer, Johns Hopkins Univ. (United States)
Paul Dagdigian, Johns Hopkins Univ. (United States)
Robert Osiander, Johns Hopkins Univ. (United States)
Joseph A. Miragliotta, Johns Hopkins Univ. (United States)
Xi-Cheng Zhang, Rensselaer Polytechnic Institute (United States)
Roland Kersting, Rensselaer Polytechnic Institute (United States)
David R. Crosley, SRI International (United States)
Ronald K. Hanson, Stanford Univ. (United States)
Jay Jeffries, Stanford Univ. (United States)


Published in SPIE Proceedings Vol. 5089:
Detection and Remediation Technologies for Mines and Minelike Targets VIII
Russell S. Harmon; John H. Holloway; J. T. Broach, Editor(s)

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