The Identification of Seven Chemical Warfare Mimics Using a Colorimetric Array

Autor:	Michael J. Kangas, Adreanna Ernest, Rachel Lukowicz, Andres V. Mora, Anais Quossi, Marco Perez, Nathan Kyes, Andrea E. Holmes
Jazyk:	angličtina
Rok vydání:	2018
Předmět:	warfare mimics mustard gas colorimetric array principle component analysis RGB data Chemical technology TP1-1185
Zdroj:	Sensors, Vol 18, Iss 12, p 4291 (2018)
Druh dokumentu:	article
ISSN:	1424-8220 18124291
DOI:	10.3390/s18124291
Popis:	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.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/9b4fa52acb0249d2bbfc8c1be56ca804 Zobrazit plný text záznamu View record in DOAJ Plný text ve formátu PDF Plný text ve formátu HTML
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