Optimization and modeling of Zn2SnO4 sensitivity as gas sensor for detection benzene in the air by using the response surface methodology

In this paper, the performance of the benzene gas detection sensor in the air is optimized by an experimental design method. So in this work, Nanostructured thin films of ZnO and Zn2SnO4 were prepared in wurtzite form via a facile atmospheric pressure chemical vapor deposition (CVD) method, using me...

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Autores principales: Hassan Hosseinzadeh asl, Ghasem Tohidi, F. Movahedi, E. Hassannayebi
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Lenguaje:EN
Publicado: Elsevier 2021
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Acceso en línea:https://doaj.org/article/189c8031cce84be9877b0b27ea1dfc09
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spelling oai:doaj.org-article:189c8031cce84be9877b0b27ea1dfc092021-11-26T04:24:35ZOptimization and modeling of Zn2SnO4 sensitivity as gas sensor for detection benzene in the air by using the response surface methodology1319-610310.1016/j.jscs.2021.101371https://doaj.org/article/189c8031cce84be9877b0b27ea1dfc092021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1319610321001769https://doaj.org/toc/1319-6103In this paper, the performance of the benzene gas detection sensor in the air is optimized by an experimental design method. So in this work, Nanostructured thin films of ZnO and Zn2SnO4 were prepared in wurtzite form via a facile atmospheric pressure chemical vapor deposition (CVD) method, using metallic zinc and tin precursors. Characterization of the gas sensor was performed by using Powder X-ray diffraction (PXRD), scanning electron microscopy (SEM) and surface area analysis (using BET method). The results show that Zn2SnO4 nanowire network exhibited good sensitivity at 299 °C temperature to low concentrations (100 ppb) of Benzene which can be potentially used as a resistive gas sensor. Ultimately modeling and optimization of Zn2SnO4 sensor performance to detect benzene by surface response method in design expert11 software has been done. Also, the effect of each parameter on the sensitivity of the sensor was analyzed by analysis of variance (ANOVA). Moreover, the performance efficiency of the Zn2SnO4 sensor is estimated with the reliable correlations obtained in the modeling. The two parameters selected to optimize the performance of the gas sensor include the operating temperature of the sensor and the concentration of the sensor. Comparison of the modeling results and the predicted values for the sensor sensitivity to benzene shows 97.60% excellent agreement.Hassan Hosseinzadeh aslGhasem TohidiF. MovahediE. HassannayebiElsevierarticleZn2SnO4BenzeneGas sensorDesign Expert11OptimizationChemistryQD1-999ENJournal of Saudi Chemical Society, Vol 25, Iss 12, Pp 101371- (2021)
institution DOAJ
collection DOAJ
language EN
topic Zn2SnO4
Benzene
Gas sensor
Design Expert11
Optimization
Chemistry
QD1-999
spellingShingle Zn2SnO4
Benzene
Gas sensor
Design Expert11
Optimization
Chemistry
QD1-999
Hassan Hosseinzadeh asl
Ghasem Tohidi
F. Movahedi
E. Hassannayebi
Optimization and modeling of Zn2SnO4 sensitivity as gas sensor for detection benzene in the air by using the response surface methodology
description In this paper, the performance of the benzene gas detection sensor in the air is optimized by an experimental design method. So in this work, Nanostructured thin films of ZnO and Zn2SnO4 were prepared in wurtzite form via a facile atmospheric pressure chemical vapor deposition (CVD) method, using metallic zinc and tin precursors. Characterization of the gas sensor was performed by using Powder X-ray diffraction (PXRD), scanning electron microscopy (SEM) and surface area analysis (using BET method). The results show that Zn2SnO4 nanowire network exhibited good sensitivity at 299 °C temperature to low concentrations (100 ppb) of Benzene which can be potentially used as a resistive gas sensor. Ultimately modeling and optimization of Zn2SnO4 sensor performance to detect benzene by surface response method in design expert11 software has been done. Also, the effect of each parameter on the sensitivity of the sensor was analyzed by analysis of variance (ANOVA). Moreover, the performance efficiency of the Zn2SnO4 sensor is estimated with the reliable correlations obtained in the modeling. The two parameters selected to optimize the performance of the gas sensor include the operating temperature of the sensor and the concentration of the sensor. Comparison of the modeling results and the predicted values for the sensor sensitivity to benzene shows 97.60% excellent agreement.
format article
author Hassan Hosseinzadeh asl
Ghasem Tohidi
F. Movahedi
E. Hassannayebi
author_facet Hassan Hosseinzadeh asl
Ghasem Tohidi
F. Movahedi
E. Hassannayebi
author_sort Hassan Hosseinzadeh asl
title Optimization and modeling of Zn2SnO4 sensitivity as gas sensor for detection benzene in the air by using the response surface methodology
title_short Optimization and modeling of Zn2SnO4 sensitivity as gas sensor for detection benzene in the air by using the response surface methodology
title_full Optimization and modeling of Zn2SnO4 sensitivity as gas sensor for detection benzene in the air by using the response surface methodology
title_fullStr Optimization and modeling of Zn2SnO4 sensitivity as gas sensor for detection benzene in the air by using the response surface methodology
title_full_unstemmed Optimization and modeling of Zn2SnO4 sensitivity as gas sensor for detection benzene in the air by using the response surface methodology
title_sort optimization and modeling of zn2sno4 sensitivity as gas sensor for detection benzene in the air by using the response surface methodology
publisher Elsevier
publishDate 2021
url https://doaj.org/article/189c8031cce84be9877b0b27ea1dfc09
work_keys_str_mv AT hassanhosseinzadehasl optimizationandmodelingofzn2sno4sensitivityasgassensorfordetectionbenzeneintheairbyusingtheresponsesurfacemethodology
AT ghasemtohidi optimizationandmodelingofzn2sno4sensitivityasgassensorfordetectionbenzeneintheairbyusingtheresponsesurfacemethodology
AT fmovahedi optimizationandmodelingofzn2sno4sensitivityasgassensorfordetectionbenzeneintheairbyusingtheresponsesurfacemethodology
AT ehassannayebi optimizationandmodelingofzn2sno4sensitivityasgassensorfordetectionbenzeneintheairbyusingtheresponsesurfacemethodology
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