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Sensors 2017, 17(3), 573; doi:10.3390/s17030573

Selective Sensing of Gas Mixture via a Temperature Modulation Approach: New Strategy for Potentiometric Gas Sensor Obtaining Satisfactory Discriminating Features

1,* and 1,*
Gas Sensors & Sensing Technology Lab., Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo 315211, China
School of Information Engineering, Huangshan University, Huangshan 245021, China
School of Electronic and Information Engineering, Ningbo University of Technology, Ningbo 315211, China
These authors contributed equally to this work.
Authors to whom correspondence should be addressed.
Academic Editor: Andrzej Lewenstam
Received: 3 January 2017 / Revised: 27 February 2017 / Accepted: 28 February 2017 / Published: 12 March 2017
(This article belongs to the Special Issue Potentiometric Sensors)
View Full-Text   |   Download PDF [2650 KB, uploaded 12 March 2017]   |  


A new strategy to discriminate four types of hazardous gases is proposed in this research. Through modulating the operating temperature and the processing response signal with a pattern recognition algorithm, a gas sensor consisting of a single sensing electrode, i.e., ZnO/In2O3 composite, is designed to differentiate NO2, NH3, C3H6, CO within the level of 50–400 ppm. Results indicate that with adding 15 wt.% ZnO to In2O3, the sensor fabricated at 900 °C shows optimal sensing characteristics in detecting all the studied gases. Moreover, with the aid of the principle component analysis (PCA) algorithm, the sensor operating in the temperature modulation mode demonstrates acceptable discrimination features. The satisfactory discrimination features disclose the future that it is possible to differentiate gas mixture efficiently through operating a single electrode sensor at temperature modulation mode. View Full-Text
Keywords: Temperature modulation; PCA; discriminating features; In2O3; ZnO Temperature modulation; PCA; discriminating features; In2O3; ZnO

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Li, F.-A.; Jin, H.; Wang, J.; Zou, J.; Jian, J. Selective Sensing of Gas Mixture via a Temperature Modulation Approach: New Strategy for Potentiometric Gas Sensor Obtaining Satisfactory Discriminating Features. Sensors 2017, 17, 573.

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