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Sensors 2018, 18(12), 4291; https://doi.org/10.3390/s18124291

The Identification of Seven Chemical Warfare Mimics Using a Colorimetric Array

Department of Chemistry, Doane University, Crete, NE 68333, USA
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Received: 8 November 2018 / Revised: 30 November 2018 / Accepted: 3 December 2018 / Published: 6 December 2018
(This article belongs to the Section Chemical Sensors)
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Abstract

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. View Full-Text
Keywords: warfare mimics; mustard gas; colorimetric array; principle component analysis; RGB data warfare mimics; mustard gas; colorimetric array; principle component analysis; RGB data
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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Kangas, M.J.; Ernest, A.; Lukowicz, R.; Mora, A.V.; Quossi, A.; Perez, M.; Kyes, N.; Holmes, A.E. The Identification of Seven Chemical Warfare Mimics Using a Colorimetric Array. Sensors 2018, 18, 4291.

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