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SURVEY AND SUMMARY: From DNA biosensors to gene chips
Open accessAbstract
Wide-scale DNA testing requires the development of small, fast and easy-to-use devices. This article describes the preparation, operation and applications of biosensors and gene chips, which provide fast, sensitive and selective detection of DNA hybridization. Various new strategies for DNA biosensors and gene chips are examined, along with recent trends and future directions. The integration of hybridization detection schemes with the sample preparation process in a 'Lab-on-a-Chip' format is also covered. While the use of DNA biosensors and gene chips is at an early stage, such devices are expected to have an enormous effect on future DNA diagnostics.
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Citations
Cited by
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Kim, J., Campbell, A. S., de Ávila, B. E.-F., & Wang, J. (2019) · Nature Biotechnology · doi:10.1038/s41587-019-0045-y · Cited by 3,373
Self-citationElectrochemical biosensors: Towards point-of-care cancer diagnostics
Wang, J. (2006) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2005.10.027 · Cited by 1,454
Self-citationElectrochemistry of Nucleic Acids
Paleček, E., & Bartošík, M. (2012) · Chemical Reviews · doi:10.1021/cr200303p · Cited by 668
Recent advances in biologically sensitive field-effect transistors (BioFETs)
Schöning, M. J., & Poghossian, A. (2002) · The Analyst · doi:10.1039/b204444g · Cited by 566
Integrated THz technology for label-free genetic diagnostics
Nagel, M., Haring Bolivar, P., Brucherseifer, M., Kurz, H., Bosserhoff, A., & Büttner, R. (2002) · Applied Physics Letters · doi:10.1063/1.1428619 · Cited by 543
Metadata
- Authors
- Wang, J.
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2000-08-15
- Volume
- 28
- Issue
- 16
- Pages
- 3011-3016
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- OpenAlex
- W2108861052
- Cited by
- 753
- References
- 0
- FWCI
- 9.69
- Type
- journal article
- Language
- en
- Open access
- bronze
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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.