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Sensing and Discrimination of Explosives at Variable Concentrations with a Large-Pore MOF as Part of a Luminescent Array.
Jurcic, Monika; Peveler, William J; Savory, Christopher N; Bucar, Dejan-Kresimir; Kenyon, Anthony J; Scanlon, David O; Parkin, Ivan P.
Afiliação
  • Jurcic M; Department of Chemistry , University College London , 20 Gordon Street , London WC1H 0AJ , U.K.
  • Peveler WJ; Division of Biomedical Engineering, School of Engineering, College of Science and Engineering , University of Glasgow , Glasgow G12 8LT , U.K.
  • Savory CN; Department of Chemistry , University College London , 20 Gordon Street , London WC1H 0AJ , U.K.
  • Bucar DK; Department of Chemistry , University College London , 20 Gordon Street , London WC1H 0AJ , U.K.
  • Kenyon AJ; Department of Electronic and Electrical Engineering , University College London , London WC1E 7JE , U.K.
  • Scanlon DO; Department of Chemistry , University College London , 20 Gordon Street , London WC1H 0AJ , U.K.
  • Parkin IP; Diamond Light Source Ltd. , Diamond House, Harwell Science and Innovation Campus, Didcot , Oxfordshire OX11 0DE , U.K.
ACS Appl Mater Interfaces ; 11(12): 11618-11626, 2019 Mar 27.
Article em En | MEDLINE | ID: mdl-30830741
ABSTRACT
Metal-organic frameworks (MOFs) have shown great promise for sensing of dangerous chemicals, including environmental toxins, nerve agents, and explosives. However, challenges remain, such as the sensing of larger analytes and the discrimination between similar analytes at different concentrations. Herein, we present the synthesis and development of a new, large-pore MOF for explosives sensing and demonstrate its excellent sensitivity against a range of relevant explosive compounds including trinitrotoluene and pentaerythritol tetranitrate. We have developed an improved, thorough methodology to eliminate common sources of error in our sensing protocol. We then combine this new MOF with two others as part of a three-MOF array for luminescent sensing and discrimination of five explosives. This sensor works at part-per-million concentrations and, importantly, can discriminate explosives with high accuracy without reference to their concentration.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article