
Proceedings Paper
Evaluation of a biomimetic optical-filter based chemical sensor for detection of hazardous chemical vapors in the infraredFormat | Member Price | Non-Member Price |
---|---|---|
$17.00 | $21.00 |
Paper Abstract
Detection of concealed hazardous materials is a pressing need for the global defense community. To address this need,
the development of reliable and readily-deployable sensing devices is a key area of research. A multitude of infrared
sensing techniques are being studied which allow for reliable sensing of concealed threats. Continued development in
this field is working to increase the selectivity of such infrared sensors, while at the same time reducing their complexity,
size and cost. We have recently developed a biomimetic optical filter based approach, based on human color vision, that
utilizes multiple, broadband, overlapping infrared (IR) filters to clearly discriminate between hazardous target chemicals
and interferents with very similar mid-IR spectral signatures. This technique was extensively studied in order to select
filters which provide optimum selectivity for specific chemical sets. Using this knowledge, we designed and assembled a
gas-phase sensor which uses three broadband mid-IR filters to detect and discriminate between a target chemical, fuel
oil, and various interferents with strongly overlapping IR absorption bands in the carbon – hydrogen stretch region of the
IR absorption spectrum 2700 cm-1 - 3300 cm-1 (3.0 μm - 3.7 μm).
We present an overview of the design and performance of this filter-based system and explore the ability of this system
to detect and discriminate between strongly overlapping target and interferent chemicals. The detection results using the
filter-based system are compared to numerical methods to demonstrate the operation of this methodology. We present
the results of experiments with both target and interferent chemicals present with chemicals both in and out of the
detection set, and discuss future field development and application of this approach.
Paper Details
Date Published: 3 May 2016
PDF: 6 pages
Proc. SPIE 9823, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXI, 98230U (3 May 2016); doi: 10.1117/12.2224145
Published in SPIE Proceedings Vol. 9823:
Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXI
Steven S. Bishop; Jason C. Isaacs, Editor(s)
PDF: 6 pages
Proc. SPIE 9823, Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXI, 98230U (3 May 2016); doi: 10.1117/12.2224145
Show Author Affiliations
Kevin J. Major, Sotera Defense Solutions (United States)
Menelaos K. Poutous, The Univ. of North Carolina at Charlotte (United States)
Kevin F. Dunnill, The Univ. of North Carolina at Charlotte (United States)
Kenneth J. Ewing, U.S. Naval Research Lab. (United States)
Menelaos K. Poutous, The Univ. of North Carolina at Charlotte (United States)
Kevin F. Dunnill, The Univ. of North Carolina at Charlotte (United States)
Kenneth J. Ewing, U.S. Naval Research Lab. (United States)
Jasbinder S. Sanghera, U.S. Naval Research Lab. (United States)
P. C. Deguzman, The Univ. of North Carolina at Charlotte (United States)
Ishwar D. Aggarwal, Sotera Defense Solutions (United States)
The Univ. of North Carolina at Charlotte (United States)
P. C. Deguzman, The Univ. of North Carolina at Charlotte (United States)
Ishwar D. Aggarwal, Sotera Defense Solutions (United States)
The Univ. of North Carolina at Charlotte (United States)
Published in SPIE Proceedings Vol. 9823:
Detection and Sensing of Mines, Explosive Objects, and Obscured Targets XXI
Steven S. Bishop; Jason C. Isaacs, Editor(s)
© SPIE. Terms of Use
