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

Li, Fu-an; Jin, Han; Wang, Jinxia; Zou, Jie; Jian, Jiawen

doi:10.3390/s17030573

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

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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

Authors to whom correspondence should be addressed.

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These authors contributed equally to this work.

Academic Editor: Andrzej Lewenstam

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

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)

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Abstract

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

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MDPI and ACS Style

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. https://doi.org/10.3390/s17030573

AMA Style

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(3):573. https://doi.org/10.3390/s17030573

Chicago/Turabian Style

Li, Fu-an, Han Jin, Jinxia Wang, Jie Zou, and Jiawen Jian. 2017. "Selective Sensing of Gas Mixture via a Temperature Modulation Approach: New Strategy for Potentiometric Gas Sensor Obtaining Satisfactory Discriminating Features" Sensors 17, no. 3: 573. https://doi.org/10.3390/s17030573

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

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