MEMS-based explosive particle detection and remote particle stimulation

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 μm 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.

Duke Scholars

Author Richard B. Fair Electrical and Computer Engineering