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A Survey on Gas Sensing Technology

School of Electronic and Information Engineering, Beihang University, Beijing 100191, China
School of Computer Science, Nanjing Normal University, Nanjing 210097, China
Author to whom correspondence should be addressed.
Sensors 2012, 12(7), 9635-9665;
Received: 16 April 2012 / Revised: 18 June 2012 / Accepted: 13 July 2012 / Published: 16 July 2012
(This article belongs to the Section Chemical Sensors)
PDF [384 KB, uploaded 21 June 2014]


Sensing technology has been widely investigated and utilized for gas detection. Due to the different applicability and inherent limitations of different gas sensing technologies, researchers have been working on different scenarios with enhanced gas sensor calibration. This paper reviews the descriptions, evaluation, comparison and recent developments in existing gas sensing technologies. A classification of sensing technologies is given, based on the variation of electrical and other properties. Detailed introduction to sensing methods based on electrical variation is discussed through further classification according to sensing materials, including metal oxide semiconductors, polymers, carbon nanotubes, and moisture absorbing materials. Methods based on other kinds of variations such as optical, calorimetric, acoustic and gas-chromatographic, are presented in a general way. Several suggestions related to future development are also discussed. Furthermore, this paper focuses on sensitivity and selectivity for performance indicators to compare different sensing technologies, analyzes the factors that influence these two indicators, and lists several corresponding improved approaches. View Full-Text
Keywords: gas sensing methods; sensing materials; sensitivity; selectivity gas sensing methods; sensing materials; sensitivity; selectivity
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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MDPI and ACS Style

Liu, X.; Cheng, S.; Liu, H.; Hu, S.; Zhang, D.; Ning, H. A Survey on Gas Sensing Technology. Sensors 2012, 12, 9635-9665.

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