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New approaches for improving selectivity and sensitivity of resistive gas sensors: a review
Gdansk Univ Technol, Dept Metrol & Optoelect, Gdansk, Poland..
Gdansk Univ Technol, Dept Metrol & Optoelect, Gdansk, Poland..
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Solid State Physics.
Rovira & Virgily Univ, Dept Elect, Elect & Automat Engn, Tarragona, Spain..
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2015 (English)In: Sensor Review, ISSN 0260-2288, E-ISSN 1758-6828, Vol. 35, no 4, p. 340-347Article, review/survey (Refereed) Published
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Abstract [en]

Purpose - This paper aims to present the methods of improving selectivity and sensitivity of resistance gas sensors. Design/methodology/approach - This paper compares various methods of improving gas sensing by temperature modulation, UV irradiation or fluctuation-enhanced sensing. The authors analyze low-frequency resistance fluctuations in commercial Taguchi gas sensors and the recently developed tungsten trioxide (WO3) gas-sensing layers, exhibiting a photo-catalytic effect. Findings - The efficiency of using low-frequency fluctuations to improve gas detection selectivity and sensitivity was confirmed by numerous experimental studies in commercial and prototype gas sensors. Research limitations/implications - A more advanced measurement setup is required to record noise data but it will reduce the number of gas sensors necessary for identifying the investigated gas mixtures. Practical implications - Fluctuation-enhanced sensing can reduce the energy consumption of gas detection systems and assures better detection results. Originality/value - A thorough comparison of various gas sensing methods in resistance gas sensors is presented and supported by exemplary practical applications.

Place, publisher, year, edition, pages
2015. Vol. 35, no 4, p. 340-347
Keyword [en]
Noise, Gas sensors, Detection methods, Low-frequency noise, Photo-catalytic effect
National Category
Accelerator Physics and Instrumentation Engineering and Technology
Identifiers
URN: urn:nbn:se:uu:diva-282750DOI: 10.1108/SR-12-2014-0747ISI: 000369520500003OAI: oai:DiVA.org:uu-282750DiVA, id: diva2:917438
Funder
EU, FP7, Seventh Framework Programme, 267234
Available from: 2016-04-06 Created: 2016-04-06 Last updated: 2017-11-30Bibliographically approved

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Granqvist, Claes Goran

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