Kumar, Sandeep ; Dehm, Simone ; Wieland, Laura ; Chandresh, Abhinav ; Heinke, Lars ; Flavel, Benjamin S. ; Krupke, Ralph (2024)
Sensitive Detection of a Gaseous Analyte with Low‐Power Metal–Organic Framework Functionalized Carbon Nanotube Transistors.
In: Advanced Electronic Materials, 2024, 10 (1)
doi: 10.26083/tuprints-00027223
Article, Secondary publication, Publisher's Version
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Item Type: | Article |
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Type of entry: | Secondary publication |
Title: | Sensitive Detection of a Gaseous Analyte with Low‐Power Metal–Organic Framework Functionalized Carbon Nanotube Transistors |
Language: | English |
Date: | 27 May 2024 |
Place of Publication: | Darmstadt |
Year of primary publication: | January 2024 |
Place of primary publication: | Weinheim |
Publisher: | Wiley-VCH |
Journal or Publication Title: | Advanced Electronic Materials |
Volume of the journal: | 10 |
Issue Number: | 1 |
Collation: | 8 Seiten |
DOI: | 10.26083/tuprints-00027223 |
Corresponding Links: | |
Origin: | Secondary publication DeepGreen |
Abstract: | A highly sensitive and low‐power sensing platform for detecting ethanol molecules by interfacing high‐purity, large‐diameter semiconducting carbon nanotube transistors with a metal–organic framework layer is presented. The new devices outperform similar graphene‐based metal–organic framework devices by several orders of magnitude in terms of sensitivity and power consumption, and can detect extremely low ethanol concentrations down to sub‐ppb levels while consuming only picowatts of power. The exceptional sensor performance results from the nanotube transistor's high on/off ratio and its sensitivity to charges, allowing for ultra‐low power consumption. The platform can also compensate for shifts in threshold voltage induced by ambient conditions, making it suitable for use in humid air. This novel concept of MOF/CNTFETs could be customized for detecting various gaseous analytes, leading to a range of ultra‐sensitive and ultra‐low power sensors. |
Uncontrolled Keywords: | air, carbon nanotubes, ethanol, low power, metal–organic frameworks, sensors |
Identification Number: | Artikel-ID: 2300533 |
Status: | Publisher's Version |
URN: | urn:nbn:de:tuda-tuprints-272234 |
Classification DDC: | 600 Technology, medicine, applied sciences > 660 Chemical engineering |
Divisions: | 11 Department of Materials and Earth Sciences > Material Science > Molecular Nanostructures |
Date Deposited: | 27 May 2024 13:12 |
Last Modified: | 16 Sep 2024 08:49 |
SWORD Depositor: | Deep Green |
URI: | https://tuprints.ulb.tu-darmstadt.de/id/eprint/27223 |
PPN: | 521517095 |
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