The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Double-Gate Nanowire Field Effect Transistor for a Biosensor
Abstract
A silicon nanowire field effect transistor (FET) straddled by the double-gate was demonstrated for biosensor application. The separated double-gates, G1 (primary) and G2 (secondary), allow independent voltage control to modulate channel potential. Therefore, the detection sensitivity was enhanced by the use of G2. By applying weakly positive bias to G2, the sensing window was significantly broadened compared to the case of employing G1 only, which is nominally used in conventional nanowire FET-based biosensors. The charge effect arising from biomolecules was also analyzed. Double-gate nanowire FET can pave the way for an electrically working biosensor without a labeling process.
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Citations
Cites
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Subthreshold Regime has the Optimal Sensitivity for Nanowire FET Biosensors
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Surface Charge Sensitivity of Silicon Nanowires: Size Dependence
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Cited by
Pumera, M. (2011) · Materials Today · doi:10.1016/s1369-7021(11)70160-2 · Cited by 851
Two-dimensional Layered MoS2 Biosensors Enable Highly Sensitive Detection of Biomolecules
Lee, J., Dak, P., Lee, Y., Park, H., Choi, W., Alam, M. A., & Kim, S. (2014) · Scientific Reports · doi:10.1038/srep07352 · Cited by 318
Review—Field-Effect Transistor Biosensing: Devices and Clinical Applications
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Self-citation
Metadata
- Authors
- Ahn, J.-H., Choi, S.-J., Han, J.-W., Park, T. J., Lee, S. Y., & Choi, Y.-K.
- Venue
- Nano Letters
- Publisher
- American Chemical Society (ACS)
- Published
- 2010-07-12
- Volume
- 10
- Issue
- 8
- Pages
- 2934-2938
- ISSN
- 1530-6984 (ISSN-L)
- 1530-6992
- OpenAlex
- W2108703737
- Cited by
- 178
- References
- 3
- FWCI
- 7.83
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
