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High-confidence discrimination of explosive materials on surfaces using a non-spectroscopic optical biomimetic sensing method
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Paper Abstract

Field detection of chemical, biological, radiological, nuclear and explosive (CBRNE) threats requires the development of highly selective sensors with low size, weight, power and cost (SWaP-c). Recent developments have demonstrated that an optical biomimetic sensing approach, based on human-eye color detection can provide high-confidence discrimination of target chemicals while rejecting potential interferents with similar chemical structures. This biomimetic sensing method operates by identifying differences in the overlap between target and interferent chemical infrared absorption bands utilizing three, overlapping, optical bandpass filters. This method is non-spectroscopic and requires only the use of commercially available, off-the-shelf optical components. This approach has been demonstrated for volatile chemical vapors in the mid-wave-infrared (3 – 5 μm). Based on this success, experimental studies of this biomimetic sensing approach have been expanded further into the long wave infrared spectral region (6 – 12 μm) and for detection of explosives on surfaces, including aluminum and plastics. We present discrimination results using this biomimetic sensing approach for explosive samples on surfaces in both the mid- and long- wave infrared. Numerical data, along with experimentally collected data, are discussed. We demonstrate that this method is capable of discriminating between similar explosives on surfaces as well as between these explosives and potential environmental interferents. We present the results of these experiments and discuss potential transition of this approach to future field-ready stand-off devices and applications.

Paper Details

Date Published: 16 May 2018
PDF: 8 pages
Proc. SPIE 10629, Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XIX, 106290P (16 May 2018); doi: 10.1117/12.2304349
Show Author Affiliations
Kevin J. Major, U.S. Naval Research Lab. (United States)
Kenneth J. Ewing, U.S. Naval Research Lab. (United States)
Jasbinder S. Sanghera, U.S. Naval Research Lab. (United States)
Thomas C. Hutchens, The Univ. of North Carolina at Charlotte (United States)
Menelaos K. Poutous, The Univ. of North Carolina at Charlotte (United States)
Matthew G. Potter, The Univ. of North Carolina at Charlotte (United States)
Christopher R. Wilson, The Univ. of North Carolina at Charlotte (United States)
Ishwar D. Aggarwal, The Univ. of North Carolina at Charlotte (United States)
Sotera Defense Solutions, Inc. (United States)
Mikella E. Farrell, U.S. Army Research Lab. (United States)
Ellen L. Holthoff, U.S. Army Research Lab. (United States)
Paul M. Pellegrino, U.S. Army Research Lab. (United States)


Published in SPIE Proceedings Vol. 10629:
Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XIX
Jason A. Guicheteau; Augustus Way Fountain; Chris R. Howle, Editor(s)

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