Analysis of a calibration method for non-stationary CVD multi-layered graphene-based gas sensors

Journal Article (2019)
Author(s)

F. Ricciardella (TU Delft - Electronic Components, Technology and Materials)

Tiziana Polichetti (ENEA Research Center)

Sten Vollebregt (TU Delft - Electronic Components, Technology and Materials)

Brigida Alfano (ENEA Research Center)

Ettore Massera (ENEA Research Center)

Lina Sarro (TU Delft - Electronic Components, Technology and Materials)

Research Group
Electronic Components, Technology and Materials
Copyright
© 2019 F. Ricciardella, Tiziana Polichetti, S. Vollebregt, Brigida Alfano, Ettore Massera, Pasqualina M Sarro
DOI related publication
https://doi.org/10.1088/1361-6528/ab2aac
More Info
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Publication Year
2019
Language
English
Copyright
© 2019 F. Ricciardella, Tiziana Polichetti, S. Vollebregt, Brigida Alfano, Ettore Massera, Pasqualina M Sarro
Research Group
Electronic Components, Technology and Materials
Issue number
38
Volume number
30
Pages (from-to)
1-8
Reuse Rights

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Abstract

Limitations such as lack of detected stationary signal and slow signal recovery after detection currently affect graphene-based chemi-sensors operating at room temperature. In this work, we model the behavior of a sensor in a test chamber having limited volume and simulating the environmental conditions. From this model, we mathematically derive the calibration method for the sensor. The approach, focused on the time differential of the signal output, is tested on multi-layered graphene (MLG)-based sensors towards the chosen target gas (nitrogen dioxide) in the range from 0.12 to 1.32 ppm. MLG acting as sensing layer is synthesized by chemical vapor deposition. Our study paves the route for a wider applicability of the analysis to calibrate the class of devices affected by non-stationary and recovery issues.

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