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

Filiberto Ricciardella; Tiziana Polichetti; Sten Vollebregt; Brigida Alfano; Ettore Massera; Pasqualina M. Sarro

doi:10.1088/1361-6528/ab2aac

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

Filiberto Ricciardella, Tiziana Polichetti, Sten Vollebregt, Brigida Alfano, Ettore Massera, Pasqualina M. Sarro

Electronic Components, Technology and Materials

Research output: Contribution to journal › Article › Scientific › peer-review

6 Citations (Scopus)

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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.

Original language	English
Article number	385501
Pages (from-to)	1-8
Number of pages	8
Journal	Nanotechnology
Volume	30
Issue number	38
DOIs	https://doi.org/10.1088/1361-6528/ab2aac
Publication status	Published - 2019

Bibliographical note

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care

Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

calibration
gas sensors
graphene
NO2
signal steady state and recovery
time-differential signal Output

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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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AU - Vollebregt, Sten

AU - Alfano, Brigida

AU - Massera, Ettore

AU - Sarro, Pasqualina M.

N1 - Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

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

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Keywords

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