Sensors and Actuators, B: Chemical, volume 254, pages 502-513
Selective detection of individual gases and CO/H2 mixture at low concentrations in air by single semiconductor metal oxide sensors working in dynamic temperature mode
Publication type: Journal Article
Publication date: 2018-01-01
Journal:
Sensors and Actuators, B: Chemical
Quartile SCImago
Q1
Quartile WOS
Q1
Impact factor: 8.4
ISSN: 09254005
Materials Chemistry
Metals and Alloys
Surfaces, Coatings and Films
Electronic, Optical and Magnetic Materials
Condensed Matter Physics
Electrical and Electronic Engineering
Instrumentation
Abstract
Highly selective detection of various individual gases (CO, H2, CH4, C3H8, NO, NO2, H2S, SO2) at low concentrations (0.01–667 ppm) in air by a single SnO2-based metal oxide sensor (MOX-sensor) is presented. The sensor operates in dynamic temperature mode combined with a number of adaptive signal processing algorithms. Artificial neural networks were proven to be more effective among the other adaptive algorithms implemented in this study. Identification of individual gases by a single sensor, averaged over all the gases and concentrations, resulted in only 13.2% false recognitions. Most of the failures were attributed to NO2 detection in 0.01–0.1 ppm concentrations range. The ability of a single sensor to identify gas mixtures in a complex background was tested on the example of CO + H2 mixture in air, which simulates smoldering in the early stages of fire. The algorithm showed the ability to identify and quantify CO + H2 mixture with less than 10% error rate, even in constant presence of background gas (NO2 1.4 ppm). Chemical modification of SnO2, increasing sensor response and sensitivity to individual components of the mixture, was proven to be beneficial for improvement of identification and quantification of gas mixture. Significant improvement in quantification accuracy (decrease in relative error from 7 to 2.5%) was achieved by utilizing a 3 sensor array in combination with an adaptive data processing algorithm, compared to the use of a single sensor alone. The prominent negative effect of humidity (Rh 30%, 25 °C) on the performance of adaptive algorithms, sensor signal processing, system selectivity, and gas mixture identification is demonstrated.
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- We do not take into account publications that without a DOI.
- Statistics recalculated only for publications connected to researchers, organizations and labs registered on the platform.
- Statistics recalculated weekly.
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Krivetskiy V. et al. Selective detection of individual gases and CO/H2 mixture at low concentrations in air by single semiconductor metal oxide sensors working in dynamic temperature mode // Sensors and Actuators, B: Chemical. 2018. Vol. 254. pp. 502-513.
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Krivetskiy V., Efitorov A., Arkhipenko A., Vladimirova S., Rumyantseva M., Dolenko S. A., Gaskov A. Selective detection of individual gases and CO/H2 mixture at low concentrations in air by single semiconductor metal oxide sensors working in dynamic temperature mode // Sensors and Actuators, B: Chemical. 2018. Vol. 254. pp. 502-513.
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TY - JOUR
DO - 10.1016/j.snb.2017.07.100
UR - https://doi.org/10.1016%2Fj.snb.2017.07.100
TI - Selective detection of individual gases and CO/H2 mixture at low concentrations in air by single semiconductor metal oxide sensors working in dynamic temperature mode
T2 - Sensors and Actuators, B: Chemical
AU - Krivetskiy, Valeriy
AU - Efitorov, Alexander
AU - Arkhipenko, A
AU - Vladimirova, S.
AU - Rumyantseva, M.
AU - Dolenko, Sergey A.
AU - Gaskov, A.
PY - 2018
DA - 2018/01/01 00:00:00
PB - Elsevier
SP - 502-513
VL - 254
SN - 0925-4005
ER -
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@article{2018_Krivetskiy,
author = {Valeriy Krivetskiy and Alexander Efitorov and A Arkhipenko and S. Vladimirova and M. Rumyantseva and Sergey A. Dolenko and A. Gaskov},
title = {Selective detection of individual gases and CO/H2 mixture at low concentrations in air by single semiconductor metal oxide sensors working in dynamic temperature mode},
journal = {Sensors and Actuators, B: Chemical},
year = {2018},
volume = {254},
publisher = {Elsevier},
month = {jan},
url = {https://doi.org/10.1016%2Fj.snb.2017.07.100},
pages = {502--513},
doi = {10.1016/j.snb.2017.07.100}
}