The Identification of Seven Chemical Warfare Mimics Using a Colorimetric Array

Chemical warfare agents pose significant threats in the 21st century, especially for armed forces. A colorimetric detection array was developed to identify warfare mimics, including mustard gas and nerve agents. In total, 188 sensors were screened to determine the best sensor performance, in order t...

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Bibliographic Details
Published in:	Sensors (Basel, Switzerland) Vol. 18; no. 12; p. 4291
Main Authors:	Kangas, Michael J, Ernest, Adreanna, Lukowicz, Rachel, Mora, Andres V, Quossi, Anais, Perez, Marco, Kyes, Nathan, Holmes, Andrea E
Format:	Journal Article
Language:	English
Published:	Switzerland MDPI 06-12-2018 MDPI AG
Subjects:	colorimetric array mustard gas principle component analysis RGB data warfare mimics RGB data colorimetric array warfare mimics principle component analysis mustard gas
Online Access:	Get full text
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Summary:	Chemical warfare agents pose significant threats in the 21st century, especially for armed forces. A colorimetric detection array was developed to identify warfare mimics, including mustard gas and nerve agents. In total, 188 sensors were screened to determine the best sensor performance, in order to identify warfare mimics 2-chloro ethyl ethylsulfide, 2-2'-thiodiethanol, trifluoroacetic acid, methylphosphonic acid, dimethylphosphite, diethylcyanophosphonate, and diethyl (methylthiomethyl)phosphonate. The highest loadings in the principle component analysis (PCA) plots were used to identify the sensors that were most effective in analyzing the RGB data to classify the warfare mimics. The dataset was reduced to only twelve sensors, and PCA results gave comparable results as the large data did, demonstrating that only twelve sensors are needed to classify the warfare mimics.
ISSN:	1424-8220 1424-8220
DOI:	10.3390/s18124291