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Accelerating Gas Adsorption on 3D Percolating Carbon Nanotubes
Fudan Univ, Sch Informat Sci & Technol, State Key Lab ASIC & Syst, Shanghai 200433, Peoples R China..
Fudan Univ, Sch Informat Sci & Technol, State Key Lab ASIC & Syst, Shanghai 200433, Peoples R China..
Fudan Univ, Sch Informat Sci & Technol, State Key Lab ASIC & Syst, Shanghai 200433, Peoples R China..
Fudan Univ, Sch Informat Sci & Technol, State Key Lab ASIC & Syst, Shanghai 200433, Peoples R China..
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2016 (English)In: Scientific Reports, ISSN 2045-2322, E-ISSN 2045-2322, Vol. 6, 21313Article in journal (Refereed) Published
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Abstract [en]

In the field of electronic gas sensing, low-dimensional semiconductors such as single-walled carbon nanotubes (SWCNTs) can offer high detection sensitivity owing to their unprecedentedly large surface-to-volume ratio. The sensitivity and responsivity can further improve by increasing their areal density. Here, an accelerated gas adsorption is demonstrated by exploiting volumetric effects via dispersion of SWCNTs into a percolating three-dimensional (3D) network in a semiconducting polymer. The resultant semiconducting composite film is evaluated as a sensing membrane in field effect transistor (FET) sensors. In order to attain reproducible characteristics of the FET sensors, a pulsed-gate-bias measurement technique is adopted to eliminate current hysteresis and drift of sensing baseline. The rate of gas adsorption follows the Langmuir-type isotherm as a function of gas concentration and scales with film thickness. This rate is up to 5 times higher in the composite than only with an SWCNT network in the transistor channel, which in turn results in a 7-fold shorter time constant of adsorption with the composite. The description of gas adsorption developed in the present work is generic for all semiconductors and the demonstrated composite with 3D percolating SWCNTs dispersed in functional polymer represents a promising new type of material for advanced gas sensors.

Place, publisher, year, edition, pages
2016. Vol. 6, 21313
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
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URN: urn:nbn:se:uu:diva-281797DOI: 10.1038/srep21313ISI: 000370371400001PubMedID: 26888337OAI: oai:DiVA.org:uu-281797DiVA: diva2:915642
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Swedish Research Council, 2014-5591
Available from: 2016-03-30 Created: 2016-03-30 Last updated: 2017-11-30Bibliographically approved

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Zhang, Shi-Li

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