Comparative Analysis of Derivative Parameters of Chemoresistive Sensor Signals for Gas Concentration Estimation

Signals from resistive gas sensors based on zirconium dioxide and silicon–carbon films have been extensively investigated to estimate gas concentration. In this study, the change in the normalized resistance of the sensor’s response under NO<sub>2</sub> exposure is shown and the analysis...

Full description

Bibliographic Details
Main Authors: Nina K. Plugotarenko, Tatiana N. Myasoedova, Sergey P. Novikov, Tatiana S. Mikhailova
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Chemosensors
Subjects:
Online Access:https://www.mdpi.com/2227-9040/10/4/126
_version_ 1797436309186281472
author Nina K. Plugotarenko
Tatiana N. Myasoedova
Sergey P. Novikov
Tatiana S. Mikhailova
author_facet Nina K. Plugotarenko
Tatiana N. Myasoedova
Sergey P. Novikov
Tatiana S. Mikhailova
author_sort Nina K. Plugotarenko
collection DOAJ
description Signals from resistive gas sensors based on zirconium dioxide and silicon–carbon films have been extensively investigated to estimate gas concentration. In this study, the change in the normalized resistance of the sensor’s response under NO<sub>2</sub> exposure is shown and the analysis of the first and second derivatives of the response curves were carried out. A signal-processing scheme, reducing the effect of noise and signal drift, is proposed. The extreme of the second derivative of the sensor response, the initial reaction rate, and the slope of the curve of the approximating line in the coordinates of the Elovich equation are proposed as calibration dependencies. The calibration curves built from the values of the maximum second derivative turned out to be the most stable, with the lowest relative error in estimating gas concentration compared to the traditional fixed-time point method.
first_indexed 2024-03-09T11:00:46Z
format Article
id doaj.art-010cb82096554919966f0acfee43fcf4
institution Directory Open Access Journal
issn 2227-9040
language English
last_indexed 2024-03-09T11:00:46Z
publishDate 2022-03-01
publisher MDPI AG
record_format Article
series Chemosensors
spelling doaj.art-010cb82096554919966f0acfee43fcf42023-12-01T01:16:23ZengMDPI AGChemosensors2227-90402022-03-0110412610.3390/chemosensors10040126Comparative Analysis of Derivative Parameters of Chemoresistive Sensor Signals for Gas Concentration EstimationNina K. Plugotarenko0Tatiana N. Myasoedova1Sergey P. Novikov2Tatiana S. Mikhailova3Institute of Nanotechnologies, Electronics and Electronic Equipment Engineering, Southern Federal University, 347900 Taganrog, RussiaInstitute of Nanotechnologies, Electronics and Electronic Equipment Engineering, Southern Federal University, 347900 Taganrog, RussiaInstitute of Nanotechnologies, Electronics and Electronic Equipment Engineering, Southern Federal University, 347900 Taganrog, RussiaInstitute of Nanotechnologies, Electronics and Electronic Equipment Engineering, Southern Federal University, 347900 Taganrog, RussiaSignals from resistive gas sensors based on zirconium dioxide and silicon–carbon films have been extensively investigated to estimate gas concentration. In this study, the change in the normalized resistance of the sensor’s response under NO<sub>2</sub> exposure is shown and the analysis of the first and second derivatives of the response curves were carried out. A signal-processing scheme, reducing the effect of noise and signal drift, is proposed. The extreme of the second derivative of the sensor response, the initial reaction rate, and the slope of the curve of the approximating line in the coordinates of the Elovich equation are proposed as calibration dependencies. The calibration curves built from the values of the maximum second derivative turned out to be the most stable, with the lowest relative error in estimating gas concentration compared to the traditional fixed-time point method.https://www.mdpi.com/2227-9040/10/4/126gas sensorsensor responsesignal processingElovich equation
spellingShingle Nina K. Plugotarenko
Tatiana N. Myasoedova
Sergey P. Novikov
Tatiana S. Mikhailova
Comparative Analysis of Derivative Parameters of Chemoresistive Sensor Signals for Gas Concentration Estimation
Chemosensors
gas sensor
sensor response
signal processing
Elovich equation
title Comparative Analysis of Derivative Parameters of Chemoresistive Sensor Signals for Gas Concentration Estimation
title_full Comparative Analysis of Derivative Parameters of Chemoresistive Sensor Signals for Gas Concentration Estimation
title_fullStr Comparative Analysis of Derivative Parameters of Chemoresistive Sensor Signals for Gas Concentration Estimation
title_full_unstemmed Comparative Analysis of Derivative Parameters of Chemoresistive Sensor Signals for Gas Concentration Estimation
title_short Comparative Analysis of Derivative Parameters of Chemoresistive Sensor Signals for Gas Concentration Estimation
title_sort comparative analysis of derivative parameters of chemoresistive sensor signals for gas concentration estimation
topic gas sensor
sensor response
signal processing
Elovich equation
url https://www.mdpi.com/2227-9040/10/4/126
work_keys_str_mv AT ninakplugotarenko comparativeanalysisofderivativeparametersofchemoresistivesensorsignalsforgasconcentrationestimation
AT tatiananmyasoedova comparativeanalysisofderivativeparametersofchemoresistivesensorsignalsforgasconcentrationestimation
AT sergeypnovikov comparativeanalysisofderivativeparametersofchemoresistivesensorsignalsforgasconcentrationestimation
AT tatianasmikhailova comparativeanalysisofderivativeparametersofchemoresistivesensorsignalsforgasconcentrationestimation