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A Simple and Inexpensive Electrochemical Assay for the Identification of Nitrogen Containing Explosives in the Field.
Erickson, Jeffrey S; Shriver-Lake, Lisa C; Zabetakis, Daniel; Stenger, David A; Trammell, Scott A.
Afiliação
  • Erickson JS; Center for Biomolecular Science and Engineering, Naval Research Laboratory, Washington, DC 20375, USA. jeffrey.erickson@nrl.navy.mil.
  • Shriver-Lake LC; Center for Biomolecular Science and Engineering, Naval Research Laboratory, Washington, DC 20375, USA. lisa.shriverlake@nrl.navy.mil.
  • Zabetakis D; Center for Biomolecular Science and Engineering, Naval Research Laboratory, Washington, DC 20375, USA. daniel.zabetakis@nrl.navy.mil.
  • Stenger DA; Center for Biomolecular Science and Engineering, Naval Research Laboratory, Washington, DC 20375, USA. david.stenger@nrl.navy.mil.
  • Trammell SA; Center for Biomolecular Science and Engineering, Naval Research Laboratory, Washington, DC 20375, USA. scott.trammell@nrl.navy.mil.
Sensors (Basel) ; 17(8)2017 Aug 02.
Article em En | MEDLINE | ID: mdl-28767088
We report a simple and inexpensive electrochemical assay using a custom built hand-held potentiostat for the identification of explosives. The assay is based on a wipe test and is specifically designed for use in the field. The prototype instrument designed to run the assay is capable of performing time-resolved electrochemical measurements including cyclic square wave voltammetry using an embedded microcontroller with parts costing roughly $250 USD. We generated an example library of cyclic square wave voltammograms of 12 compounds including 10 nitroaromatics, a nitramine (RDX), and a nitrate ester (nitroglycine), and designed a simple discrimination algorithm based on this library data for identification.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Revista: Sensors (Basel) Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Revista: Sensors (Basel) Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Estados Unidos