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Optimum Choice of Randomly Oriented Carbon Nanotube Networks for UV-Assisted Gas Sensing Applications
Department of Metrology and Optoelectronics, Faculty of Electronics, Telecommunications, and Informatics, Gdańsk University of Technology, G. Narutowicza 11/12, Gdańsk, 80-233, Poland.
CENTERA Laboratories, Institute of High Pressure Physics PAS, Warsaw, 01-142, Poland.
Department of Metrology and Optoelectronics, Faculty of Electronics, Telecommunications, and Informatics, Gdańsk University of Technology, G. Narutowicza 11/12, Gdańsk, 80-233, Poland.
CENTERA Laboratories, Institute of High Pressure Physics PAS, Warsaw, 01-142, Poland.
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2023 (English)In: ACS Sensors, E-ISSN 2379-3694, Vol. 8, no 9, p. 3547-3554Article in journal (Refereed) Published
Abstract [en]

We investigated the noise and photoresponse characteristics of various optical transparencies of nanotube networks to identify an optimal randomly oriented network of carbon nanotube (CNT)-based devices for UV-assisted gas sensing applications. Our investigation reveals that all of the studied devices demonstrate negative photoconductivity upon exposure to UV light. Our studies confirm the effect of UV irradiation on the electrical properties of CNT networks and the increased photoresponse with decreasing UV light wavelength. We also extend our analysis to explore the low-frequency noise properties of different nanotube network transparencies. Our findings indicate that devices with higher nanotube network transparencies exhibit lower noise levels. We conduct additional measurements of noise and resistance in an ethanol and acetone gas environment, demonstrating the high sensitivity of higher-transparent (lower-density) nanotube networks. Overall, our results indicate that lower-density nanotube networks hold significant promise as a viable choice for UV-assisted gas sensing applications.

Place, publisher, year, edition, pages
American Chemical Society (ACS) , 2023. Vol. 8, no 9, p. 3547-3554
Keywords [en]
biocontrol, carbon nanotubes, ethanol, gas sensor, low-frequency noise, UV irradiation
National Category
Condensed Matter Physics
Identifiers
URN: urn:nbn:se:kth:diva-337410DOI: 10.1021/acssensors.3c01185ISI: 001065437200001PubMedID: 37682632Scopus ID: 2-s2.0-85172034179OAI: oai:DiVA.org:kth-337410DiVA, id: diva2:1802081
Note

QC 20231003

Available from: 2023-10-03 Created: 2023-10-03 Last updated: 2024-03-05Bibliographically approved

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Lioubtchenko, Dmitri

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