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Proceedings Paper

MEMS-based explosive particle detection and remote particle stimulation
Author(s): Richard B. Fair; Vamsee K. Pamula; Michael Pollack
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Paper Abstract

We report on a new methodology for chemical detection of explosive particles associated with anti-personnel mines. Trace particle detection can be used to complement vapor detection of explosives with an electronic noise. Our approach is to remotely stimulate a target area with a high intensity, focused air ultrasonic beam whose energy can megasonically clean the target area of particles above a designed for size. We have designed a MEMS electrostatic transducer to test the concept. Nanogram particle detection will occur by collecting particles on an array of temperature sensitive MEMS sensors and irradiating the particles with 3-5 micrometers wavelength IR light. Explosive particles will selectively absorb the IR energy at approximately 1600 cm-1, decompose, and give off heat which can be detected.

Paper Details

Date Published: 22 July 1997
PDF: 9 pages
Proc. SPIE 3079, Detection and Remediation Technologies for Mines and Minelike Targets II, (22 July 1997); doi: 10.1117/12.280896
Show Author Affiliations
Richard B. Fair, Duke Univ. (United States)
Vamsee K. Pamula, Duke Univ. (United States)
Michael Pollack, Duke Univ. (United States)


Published in SPIE Proceedings Vol. 3079:
Detection and Remediation Technologies for Mines and Minelike Targets II
Abinash C. Dubey; Robert L. Barnard, Editor(s)

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