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Mechanism of NO2 detection in carbon nanotube field effect transistor chemical sensors
Abstract
We report an experimental method that clearly determines the sensing mechanism of carbon-nanotube field effect transistors. The nanotube/electrode contacts are covered with a thick and long passivation layer that hinders their exposure to chemicals in a controlled fashion, leaving only the midsection of the nanotube exposed. In the case of nitrogen dioxide, a considerably delayed response is fully consistent with the diffusion of the gas through the passivation layer. The results clearly indicate that nitrogen dioxide detection is due to changes at the interfaces between the nanotube and the electrodes and not to molecules adsorbed on the nanotube surface.
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Cited by
Detection of individual gas molecules adsorbed on graphene
Schedin, F., Geim, A. K., Morozov, S. V., Hill, E. W., Blake, P., Katsnelson, M. I., & Novoselov, K. S. (2007) · Nature Materials · doi:10.1038/nmat1967 · Cited by 8,028
Metadata
- Authors
- Zhang, J., Boyd, A., Tselev, A., Paranjape, M., & Barbara, P.
- Venue
- Applied Physics Letters
- Publisher
- AIP Publishing
- Published
- 2006-03-20
- Volume
- 88
- Issue
- 12
- ISSN
- 0003-6951 (ISSN-L)
- 1077-3118
- OpenAlex
- W2036717939
- Cited by
- 180
- References
- 0
- FWCI
- 20.24
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Mechanism of NO2 detection in carbon nanotube field effect transistor chemical sensors. https://app.cochat.ai/papers/10.1063/1.2187510
- The paper
- Zhang, J., Boyd, A., Tselev, A., Paranjape, M., & Barbara, P. (2006). Mechanism of NO2 detection in carbon nanotube field effect transistor chemical sensors. Applied Physics Letters. https://doi.org/10.1063/1.2187510
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
