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Facile Preparation of a ZnO/SnO2-Based Gas Sensor Array by Inkjet Printing for Gas Analysis with BPNN.

Authors :
Peng, Mingyue
Lv, Dawu
Xiong, Dan
Shen, Wenfeng
Song, Weijie
Tan, Ruiqin
Source :
Journal of Electronic Materials; Apr2019, Vol. 48 Issue 4, p2373-2381, 9p, 3 Diagrams, 4 Charts, 6 Graphs
Publication Year :
2019

Abstract

A gas sensor array based on ZnO/SnO<subscript>2</subscript> thin films has been designed and fabricated to recognize and quantify various kinds gases, such as ethanol, CO, NO<subscript>x</subscript>, and SO<subscript>2</subscript>, in combination with a backpropagation neural network (BPNN). Inkjet printing was adopted for facile preparation of the ZnO/SnO<subscript>2</subscript>-based thin sensing films with different metal additives due to its convenient control of composition, structure, and patterning. Precursor inks were synthesized using the sol-gel method. BPNN was applied to identify the gas species and estimate their concentration. Simulation results demonstrated that the gas sensor array could successfully identify the target gases, with overall prediction accuracy of the BPNN of 93%. This work shows that the combination of inkjet printing to prepare a thin-film gas sensor array with a BPNN is a convenient, low-cost, and efficient approach for qualitative and quantitative analysis of mixed gases. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03615235
Volume :
48
Issue :
4
Database :
Complementary Index
Journal :
Journal of Electronic Materials
Publication Type :
Academic Journal
Accession number :
135086875
Full Text :
https://doi.org/10.1007/s11664-019-06938-9