4.6 Article

Electrical impedance sensing of organic pollutants with ultrathin graphitic membranes

Journal

NANOTECHNOLOGY
Volume 33, Issue 7, Pages -

Publisher

IOP Publishing Ltd
DOI: 10.1088/1361-6528/ac3861

Keywords

graphitic films; electrical impedance spectroscopy; environmental sensors

Funding

  1. NATO SPS Project '2DSENSE' [G5777]
  2. Academy of Finland via Flagship Programme Photonics Research and Innovation (PREIN) [320166, 343393]
  3. Horizon 2020 IF TURANDOT [836816]

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This paper proposes an original approach for real-time detection of industrial organic pollutants in water based on the time evolution monitoring of the electrical impedance of low-cost graphitic nanomembranes. The approach utilizes the high sensitivity of 2D graphene-related materials to adsorbents. The study examines the sensitivity of nanomembranes based on pyrolyzed photoresist, pyrolytic carbon (PyC), and multilayer graphene films, and demonstrates the correlation between the sensitivity of electric impedance to adsorbents and the structure of the nanomembranes. The results reveal that amorphous PyC, being the most homogeneous and adhesive to the SiO2 substrate, shows the most promising integration capability into industrial pollutants sensors.
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 SiO2 substrate, is the most promising in terms of integration into industrial pollutants sensors.

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