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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, 340-347 p.Article, 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, 340-347 p.
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: 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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