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Scientific Reports, volume 13, issue 1, publication number 7834

High-performance selective NO2 gas sensor based on In2O3–graphene–Cu nanocomposites

Khort Alexander 1
Haiduk Yulyan 2
Taratyn Igor 3
Moskovskikh Dmitry 4
Podbolotov Kirill 5
Usenka Alexandra 2
Lapchuk Natalia 2
Pankov Vladimir 2
Publication typeJournal Article
Publication date2023-05-15
Quartile SCImago
Q1
Quartile WOS
Q2
Impact factor4.6
ISSN20452322
Multidisciplinary
Abstract

The control of atmosphere content and concentration of specific gases are important tasks in many industrial processes, agriculture, environmental and medical applications. Thus there is a high demand to develop new advanced materials with enhanced gas sensing characteristics including high gas selectivity. Herein we report the result of a study on the synthesis, characterization, and investigation of gas sensing properties of In2O3–graphene–Cu composite nanomaterials for sensing elements of single-electrode semiconductor gas sensors. The nanocomposite has a closely interconnected and highly defective structure, which is characterized by high sensitivity to various oxidizing and reducing gases and selectivity to NO2. The In2O3-based materials were obtained by sol–gel method, by adding 0–6 wt% of pre-synthesized graphene–Cu powder into In-containing gel before xerogel formation. The graphene–Cu flakes played the role of centers for In2O3 nucleation and then crystal growth terminators. This led to the formation of structural defects, influencing the surface energy state and concentration of free electrons. The concentration of defects increases with the increase of graphene–Cu content from 1 to 4 wt%, which also affects the gas-sensing properties of the nanocomposites. The sensors show a high sensing response to both oxidizing (NO2) and reducing (acetone, ethanol, methane) gases at an optimal working heating current of 91–161 mA (280–510 °C). The sensor with nanocomposite with 4 wt% of graphene–Cu additive showed the highest sensitivity to NO2 (46 ppm) in comparison with other tested gases with an absolute value of sensing response of (− ) 225 mV at a heating current of 131 mA (430 °C) and linear dependence of sensing response to NO2 concentration.

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GOST Copy
Khort A. et al. High-performance selective NO2 gas sensor based on In2O3–graphene–Cu nanocomposites // Scientific Reports. 2023. Vol. 13. No. 1. 7834
GOST all authors (up to 50) Copy
Khort A., Haiduk Y., Taratyn I., Moskovskikh D., Podbolotov K., Usenka A., Lapchuk N., Pankov V. High-performance selective NO2 gas sensor based on In2O3–graphene–Cu nanocomposites // Scientific Reports. 2023. Vol. 13. No. 1. 7834
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RIS Copy
TY - JOUR
DO - 10.1038/s41598-023-34697-5
UR - https://doi.org/10.1038%2Fs41598-023-34697-5
TI - High-performance selective NO2 gas sensor based on In2O3–graphene–Cu nanocomposites
T2 - Scientific Reports
AU - Khort, Alexander
AU - Haiduk, Yulyan
AU - Taratyn, Igor
AU - Moskovskikh, Dmitry
AU - Podbolotov, Kirill
AU - Usenka, Alexandra
AU - Lapchuk, Natalia
AU - Pankov, Vladimir
PY - 2023
DA - 2023/05/15 00:00:00
PB - Springer Nature
IS - 1
VL - 13
SN - 2045-2322
ER -
BibTex
Cite this
BibTex Copy
@article{2023_Khort,
author = {Alexander Khort and Yulyan Haiduk and Igor Taratyn and Dmitry Moskovskikh and Kirill Podbolotov and Alexandra Usenka and Natalia Lapchuk and Vladimir Pankov},
title = {High-performance selective NO2 gas sensor based on In2O3–graphene–Cu nanocomposites},
journal = {Scientific Reports},
year = {2023},
volume = {13},
publisher = {Springer Nature},
month = {may},
url = {https://doi.org/10.1038%2Fs41598-023-34697-5},
number = {1},
doi = {10.1038/s41598-023-34697-5}
}
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