| Literature DB >> 32212640 |
Charles E Davidson1, Melissa M Dixon2, Barry R Williams3, Gary K Kilper4, Sung H Lim5, Raymond A Martino5, Paul Rhodes5, Melissa S Hulet3, Ronald W Miles2, Alan C Samuels2, Peter A Emanuel2, Aleksandr E Miklos2.
Abstract
We 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.Keywords: chemical identification; chemical warfare agent; colorimetric sensor array; defense; field-portable
Mesh:
Substances:
Year: 2020 PMID: 32212640 DOI: 10.1021/acssensors.0c00042
Source DB: PubMed Journal: ACS Sens ISSN: 2379-3694 Impact factor: 7.711