Canine detection odor signatures for explosives

Marc Williams; J. M. Johnston; Matt Cicoria; E. Paletz; L. Paul Waggoner; Cindy C. Edge; Susan F. Hallowell

doi:10.1117/12.334998

28 December 1998 Canine detection odor signatures for explosives

Marc Williams, J. M. Johnston, Matt Cicoria, E. Paletz, L. Paul Waggoner, Cindy C. Edge, Susan F. Hallowell

Proceedings Volume 3575, Enforcement and Security Technologies; (1998) https://doi.org/10.1117/12.334998
Event: Enabling Technologies for Law Enforcement and Security, 1998, Boston, MA, United States

Abstract

Dogs are capable of detecting and discriminating a number of compounds constituting a complex odor. However, they use only a few of these to recognize a substance. The focus of this research is to determine the compounds dogs learn to use in recognizing explosives. This is accomplished by training dogs under behavioral laboratory conditions to respond differentially on separate levers to 1) blank air, 2) a target odor, such as an explosive, and 3) all other odors (non-target odors). Vapor samples are generated by a serial dilution vapor generator whose operation and output is characterized by GC/MS. Once dogs learn this three-lever discrimination, testing sessions are conducted containing a number of probe trials in which vapor from constituent compounds of the target is presented. Which lever the dogs respond to on these probe trials indicates whether they can smell the compound at all (blank lever) or whether it smells like toe target odor (e.g., the explosive) or like something else. This method was conducted using TNT, C-4, and commercial dynamite. The data show the dogs' reactions to each of the constituent compounds tested for each explosive. Analysis of these data reveal the canine detection odor signature for these explosives.

Citation Download Citation

Marc Williams, J. M. Johnston, Matt Cicoria, E. Paletz, L. Paul Waggoner, Cindy C. Edge, and Susan F. Hallowell "Canine detection odor signatures for explosives", Proc. SPIE 3575, Enforcement and Security Technologies, (28 December 1998); https://doi.org/10.1117/12.334998

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