Selective nano-devices for the detection of nitroaromatic explosive compounds
Geetha S. Aluri, Abhishek Motayed, Albert V. Davydov, Vladimir P. Oleshko, Kris A. Bertness, Norman A. Sanford, Mulpuri V. Rao
Abstract
Geetha S. Aluri, Abhishek Motayed, Albert V. Davydov, Vladimir P. Oleshko, Kris A. Bertness, Norman A. Sanford, Mulpuri V. Rao
Abstract
In recent years, there is an increased threat of explosive attacks worldwide, as the explosive - based weapons are easy to make, obtain and deploy. Detecting traces of explosives is a challenging task because of the low vapor pressures of most explosives [1]. Protecting against explosive-based terrorism can be achieved by large-scale production of nano-sensor arrays that are inexpensive, highly sensitive and selective with low response and recovery times. In the present study, we demonstrated the selective response of GaN nanowire/ TiO2nanocluster hybrids to the nitroaromatic explosive, Trinitrotoluene at room temperature. The sensor detected between 0.5 ppb and 8 ppm TNT with good selectivity against interfering compounds like Toluene. The sensitivity of 1 ppm of TNT is ~10% with response and recovery times of ~30 s.
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In recent years, there is an increased threat of explosive attacks worldwide, as the explosive - based weapons are easy to make, obtain and deploy. Detecting traces of explosives is a challenging task because of the low vapor pressures of most explosives [1]. Protecting against explosive-based terrorism can be achieved by large-scale production of nano-sensor arrays that are inexpensive, highly sensitive and selective with low response and recovery times. In the present study, we demonstrated the selective response of GaN nanowire/ TiO2nanocluster hybrids to the nitroaromatic explosive, Trinitrotoluene at room temperature. The sensor detected between 0.5 ppb and 8 ppm TNT with good selectivity against interfering compounds like Toluene. The sensitivity of 1 ppm of TNT is ~10% with response and recovery times of ~30 s.
Key concepts: Trinitrotoluene, Explosive material, Explosive detection, Materials science, Nanotechnology, Nano-, Sensitivity (control systems), Computer science