Next Article in Journal
CPAC: Energy-Efficient Data Collection through Adaptive Selection of Compression Algorithms for Sensor Networks
Previous Article in Journal
Surface Roughness Model Based on Force Sensors for the Prediction of the Tool Wear
Article Menu

Export Article

Open AccessArticle
Sensors 2014, 14(4), 6409-6418;

Inflammable Gas Mixture Detection with a Single Catalytic Sensor Based on the Electric Field Effect

Engineering Institute of Information and Electricity, China University of Mining Technology, Xuzhou 221116, China
School of Electrical and Information Engineering, University of Sydney, Sydney 2009, Australia
Author to whom correspondence should be addressed.
Received: 3 March 2014 / Revised: 27 March 2014 / Accepted: 1 April 2014 / Published: 8 April 2014
(This article belongs to the Section Chemical Sensors)
Full-Text   |   PDF [281 KB, uploaded 21 June 2014]


This paper introduces a new way to analyze mixtures of inflammable gases with a single catalytic sensor. The analysis technology was based on a new finding that an electric field on the catalytic sensor can change the output sensitivity of the sensor. The analysis of mixed inflammable gases results from processing the output signals obtained by adjusting the electric field parameter of the catalytic sensor. For the signal process, we designed a group of equations based on the heat balance of catalytic sensor expressing the relationship between the output signals and the concentration of gases. With these equations and the outputs of different electric fields, the gas concentration in a mixture could be calculated. In experiments, a mixture of methane, butane and ethane was analyzed by this new method, and the results showed that the concentration of each gas in the mixture could be detected with a single catalytic sensor, and the maximum relative error was less than 5%. View Full-Text
Keywords: gas analysis; catalytic sensor; safety monitoring in mines gas analysis; catalytic sensor; safety monitoring in mines
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

Share & Cite This Article

MDPI and ACS Style

Tong, Z.; Tong, M.-M.; Meng, W.; Li, M. Inflammable Gas Mixture Detection with a Single Catalytic Sensor Based on the Electric Field Effect. Sensors 2014, 14, 6409-6418.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top