Electrical impedance sensing of organic pollutants with ultrathin graphitic membranes.

electrical impedance spectroscopy environmental sensors graphitic films

Journal

Nanotechnology
ISSN: 1361-6528
Titre abrégé: Nanotechnology
Pays: England
ID NLM: 101241272

Informations de publication

Date de publication:
25 Nov 2021
Historique:
received: 12 07 2021
accepted: 10 11 2021
pubmed: 11 11 2021
medline: 11 11 2021
entrez: 10 11 2021
Statut: epublish

Résumé

In this paper we propose an original approach for the real-time detection of industrial organic pollutants in water. It is based on the monitoring of the time evolution of the electrical impedance of low-cost graphitic nanomembranes. The developed approach exploits the high sensitivity of the impedance of 2D graphene-related materials to the adsorbents. We examined sensitivity of the nanomembranes based on pyrolyzed photoresist, pyrolytic carbon (PyC), and multilayer graphene films. In order to realize a prototype of a sensor capable of monitoring the pollutants in water, the membranes were integrated into an ad hoc printed circuit board. We demonstrated the correlation between the sensitivity of the electric impedance to adsorbents and the structure of the nanomembranes, and revealed that the amorphous PyC, being most homogeneous and adhesive to the SiO

Identifiants

pubmed: 34757955
doi: 10.1088/1361-6528/ac3861
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© 2021 IOP Publishing Ltd.

Auteurs

Marian Baah (M)

Department of Physics and Mathematics, Institute of Photonics, University of Eastern Finland, Joensuu, Finland.

Afifa Rahman (A)

Department of Physics and Mathematics, Institute of Photonics, University of Eastern Finland, Joensuu, Finland.

Sarah Sibilia (S)

Department of Electrical and Information Engineering, University of Cassino and Southern Lazio, Cassino, Italy.

Gianmarco Trezza (G)

Department of Electrical and Information Engineering, University of Cassino and Southern Lazio, Cassino, Italy.

Luigi Ferrigno (L)

Department of Electrical and Information Engineering, University of Cassino and Southern Lazio, Cassino, Italy.

Laura Micheli (L)

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

Antonio Maffucci (A)

Department of Electrical and Information Engineering, University of Cassino and Southern Lazio, Cassino, Italy.

Ekaterina Soboleva (E)

Lappeenranta-Lahti University of Technology LUT, Lappeenranta, Finland.

Yuri Svirko (Y)

Department of Physics and Mathematics, Institute of Photonics, University of Eastern Finland, Joensuu, Finland.

Polina Kuzhir (P)

Department of Physics and Mathematics, Institute of Photonics, University of Eastern Finland, Joensuu, Finland.
Institute for Nuclear Problems of Belarusian State University, 220006 Minsk, Belarus.

Classifications MeSH