The DOI matches its Crossref record; 102 of the 102 references it cites were found in a registry or an index.
Review—Field-Effect Transistor Biosensing: Devices and Clinical Applications
Open accessAbstract
Biosensor research has been addressed as an interested field recently. Within different kinds of developed biosensing technologies, field-effect transistor (FET) based biosensors stand out due to their attractive features, such as ultra-sensitivity detection, mass-production capability, and low-cost manufacturing. To promote understandings of the FET based biosensing technology, in this review, its sensing mechanism is introduced, as well as major FET-based biosensing devices: ion sensitive field-effect transistor (ISFET), silicon nanowire, organic FET, graphene FET, and compound-semiconductor FET. In addition to FET-based biosensing devices, clinical applications, such as cardiovascular diseases (CVDs), cancers, diabetes, HIV, and DNA sequence, are also reviewed. In the end, several critical challenges of FET-based biosensing technology are discussed to envision next steps in healthcare technologies.
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Review—Nanostructured Materials-Based Nanosensors
Abdel-Karim, R., Reda, Y., & Abdel-Fattah, A. (2020) · Journal of The Electrochemical Society · doi:10.1149/1945-7111/ab67aa · Cited by 303
Two-Dimensional Field-Effect Transistor Sensors: The Road toward Commercialization
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Cheng, S., Gu, Z., Zhou, L., Hao, M., An, H., Song, K., Wu, X., Zhang, K., Zhao, Z., Dong, Y., et al. (2021) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2021.765987 · Cited by 64
Metadata
- Authors
- Syu, Y.-C., Hsu, W.-E., & Lin, C.-T.
- Venue
- ECS Journal of Solid State Science and Technology
- Publisher
- The Electrochemical Society
- Published
- 2018
- Volume
- 7
- Issue
- 7
- Pages
- Q3196-Q3207
- ISSN
- 2162-8769 (ISSN-L)
- 2162-8777
- OpenAlex
- W2808441870
- Cited by
- 284
- References
- 102
- FWCI
- 17.40
- Type
- journal article
- Language
- en
- Open access
- hybrid
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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.
