Paper-based electrochemical sensor for on-site detection of the sulphur mustard.

Chemical warfare agents Choline oxidase, inhibition Prussian blue nanoparticles, carbon black Screen-printed electrode

Journal

Environmental science and pollution research international
ISSN: 1614-7499
Titre abrégé: Environ Sci Pollut Res Int
Pays: Germany
ID NLM: 9441769

Informations de publication

Date de publication:
May 2021
Historique:
received: 02 03 2018
accepted: 13 06 2018
pubmed: 24 6 2018
medline: 1 6 2021
entrez: 24 6 2018
Statut: ppublish

Résumé

Herein, we report a novel paper-based electrochemical sensor for on-site detection of sulphur mustards. This sensor was conceived combining office paper-based electrochemical sensor with choline oxidase enzyme to deliver a sustainable sensing tool. The mustard agent detection relies on the evaluation of inhibition degree of choline oxidase, which is reversibly inhibited by sulphur mustards, by measuring the enzymatic by-product H

Identifiants

pubmed: 29934830
doi: 10.1007/s11356-018-2545-6
pii: 10.1007/s11356-018-2545-6
doi:

Substances chimiques

Hydrogen Peroxide BBX060AN9V
Mustard Gas T8KEC9FH9P

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

25069-25080

Références

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Auteurs

Noemi Colozza (N)

Department of Chemical Science and Technologies, University of Rome Tor Vergata, Rome, Italy.

Kai Kehe (K)

Bundeswehr Medical Academy, Medical CBRN Defense, Munich, Germany.

Tanja Popp (T)

Bundeswehr Institute of Pharmacology and Toxicology, Munich, Germany.
Walther-Straub-Institute of Pharmacology and Toxicology, Ludwig-Maximilians-Universität, Munich, Germany.

Dirk Steinritz (D)

Bundeswehr Institute of Pharmacology and Toxicology, Munich, Germany.
Walther-Straub-Institute of Pharmacology and Toxicology, Ludwig-Maximilians-Universität, Munich, Germany.

Danila Moscone (D)

Department of Chemical Science and Technologies, University of Rome Tor Vergata, Rome, Italy.

Fabiana Arduini (F)

Department of Chemical Science and Technologies, University of Rome Tor Vergata, Rome, Italy. fabiana.arduini@uniroma2.it.

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Classifications MeSH