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A New Model and Its Application for the Dynamic Response of RGO Resistive Gas Sensor

An reduced graphene oxide (RGO) resistive gas sensor was prepared to detect ammonia at room temperature, the result indicated that the desorption of gas (NH [Formula: see text]) molecules from a graphene-based sensor was difficult, which lead to a baseline drift. The responses of different concentra...

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Autores principales: Du, Hongfei, Xie, Guangzhong, Su, Yuanjie, Tai, Huiling, Du, Xiaosong, Yu, He, Zhang, Qiuping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6412666/
https://www.ncbi.nlm.nih.gov/pubmed/30791667
http://dx.doi.org/10.3390/s19040889
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author Du, Hongfei
Xie, Guangzhong
Su, Yuanjie
Tai, Huiling
Du, Xiaosong
Yu, He
Zhang, Qiuping
author_facet Du, Hongfei
Xie, Guangzhong
Su, Yuanjie
Tai, Huiling
Du, Xiaosong
Yu, He
Zhang, Qiuping
author_sort Du, Hongfei
collection PubMed
description An reduced graphene oxide (RGO) resistive gas sensor was prepared to detect ammonia at room temperature, the result indicated that the desorption of gas (NH [Formula: see text]) molecules from a graphene-based sensor was difficult, which lead to a baseline drift. The responses of different concentrations were compared and studied. It was found that both the response rate and its acceleration were affected by the gas concentration. An Intermolecular Forces Based Model was established to explain the adsorption and desorption dynamic response curves. A new method was proposed based on this model. The first and second derivative extrema (FSDE) of the response curve can be attained quickly to calibrate the gas concentrations. The experiment results demonstrated that this new method could eliminate the baseline drift and was capable of increasing the efficiency of gas calibration significantly.
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spelling pubmed-64126662019-04-03 A New Model and Its Application for the Dynamic Response of RGO Resistive Gas Sensor Du, Hongfei Xie, Guangzhong Su, Yuanjie Tai, Huiling Du, Xiaosong Yu, He Zhang, Qiuping Sensors (Basel) Article An reduced graphene oxide (RGO) resistive gas sensor was prepared to detect ammonia at room temperature, the result indicated that the desorption of gas (NH [Formula: see text]) molecules from a graphene-based sensor was difficult, which lead to a baseline drift. The responses of different concentrations were compared and studied. It was found that both the response rate and its acceleration were affected by the gas concentration. An Intermolecular Forces Based Model was established to explain the adsorption and desorption dynamic response curves. A new method was proposed based on this model. The first and second derivative extrema (FSDE) of the response curve can be attained quickly to calibrate the gas concentrations. The experiment results demonstrated that this new method could eliminate the baseline drift and was capable of increasing the efficiency of gas calibration significantly. MDPI 2019-02-20 /pmc/articles/PMC6412666/ /pubmed/30791667 http://dx.doi.org/10.3390/s19040889 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Du, Hongfei
Xie, Guangzhong
Su, Yuanjie
Tai, Huiling
Du, Xiaosong
Yu, He
Zhang, Qiuping
A New Model and Its Application for the Dynamic Response of RGO Resistive Gas Sensor
title A New Model and Its Application for the Dynamic Response of RGO Resistive Gas Sensor
title_full A New Model and Its Application for the Dynamic Response of RGO Resistive Gas Sensor
title_fullStr A New Model and Its Application for the Dynamic Response of RGO Resistive Gas Sensor
title_full_unstemmed A New Model and Its Application for the Dynamic Response of RGO Resistive Gas Sensor
title_short A New Model and Its Application for the Dynamic Response of RGO Resistive Gas Sensor
title_sort new model and its application for the dynamic response of rgo resistive gas sensor
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6412666/
https://www.ncbi.nlm.nih.gov/pubmed/30791667
http://dx.doi.org/10.3390/s19040889
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