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

  • Mingyue Peng
  • Dawu Lv
  • Dan Xiong
  • Wenfeng ShenEmail author
  • Weijie Song
  • Ruiqin TanEmail author


A gas sensor array based on ZnO/SnO2 thin films has been designed and fabricated to recognize and quantify various kinds gases, such as ethanol, CO, NOx, and SO2, in combination with a backpropagation neural network (BPNN). Inkjet printing was adopted for facile preparation of the ZnO/SnO2-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.


Inkjet printing gas sensor array ZnO/SnO2-based backpropagation neural network gas analysis 


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This work has been supported by the Zhejiang Provincial Natural Science Foundation of China (Grant No. LY15B050003), the Ningbo Natural Science Foundation (No. 2017A610063), and the K.C. Wong Magna Fund in Ningbo University.

Conflict of Interest

The authors declare no conflict of interest.

Human and Animal Rights

This article does not contain any studies with human participants or animals performed by any of the authors.

Supplementary material

11664_2019_6938_MOESM1_ESM.pdf (242 kb)
Supplementary material 1 (PDF 242 kb)


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Copyright information

© The Minerals, Metals & Materials Society 2019

Authors and Affiliations

  1. 1.Faculty of Electrical Engineering and Computer ScienceNingbo UniversityNingboChina
  2. 2.Ningbo Institute of Material Technology and EngineeringChinese Academy of SciencesNingboChina

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