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Detection of Chemical Warfare Agents by Colorimetric Sensor Arrays
journal contribution
posted on 2020-04-07, 14:36 authored by Charles
E. Davidson, Melissa M. Dixon, Barry R. Williams, Gary K. Kilper, Sung H. Lim, Raymond A. Martino, Paul Rhodes, Melissa S. Hulet, Ronald W. Miles, Alan C. Samuels, Peter A. Emanuel, Aleksandr E. MiklosWe
report the successful use of colorimetric arrays to identify
chemical warfare agents (CWAs). Methods were developed to interpret
and analyze a 73-indicator array with an entirely automated workflow.
Using a cross-validated first-nearest-neighbor algorithm for assessing
detection and identification performances on 632 exposures, at 30
min postexposure we report, on average, 78% correct chemical identification,
86% correct class-level identification, and 96% correct red light/green
light (agent versus non-agent) detection. Of 174 total independent
agent test exposures, 164 were correctly identified from a 30 min
exposure in the red light/green light context, yielding a 94% correct
identification of CWAs. Of 149 independent non-agent exposures, 139
were correctly identified at 30 min in the red light/green light context,
yielding a 7% false alarm rate. We find that this is a promising approach
for the development of a miniaturized, field-portable analytical equipment
suitable for soldiers and first responders.
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632 exposures30 min postexposure73- indicator arraycolorimetric arrayschemical warfare agentsalarm ratenon-agent exposures30 min exposureChemical Warfare Agentscross-validated first-nearest-neighbor algorithmCWAagent test exposuresColorimetric Sensor Arrayschemical identificationidentification performances30 minclass-level identification
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