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Electrochecmical biosensors for DNA sequence detection
Abstract
A review of reported biosensors for the sequence‐selective detection of analyte DNA sequences shows that signal transduction based on electrogenerated chemiluminescence, potentiometry and voltammetry are all capable of detecting analyte DNA at attomole levels. In contrast, optical and piezoelectric transducers detect DNA at picomole and femtomole levels, respectively. The principles and applications of these promising electrochemical DNA biosensors are described and discussed.
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Citations
Cited by
Electrochemical 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
Electrochemistry 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
Cutting out the middleman: DNA biosensors based on electrochemical oxidation
Thorp, H. H. (1998) · Trends in Biotechnology · doi:10.1016/s0167-7799(97)01162-1 · Cited by 255
Metadata
- Authors
- Mikkelsen, S. R.
- Venue
- Electroanalysis
- Publisher
- Wiley
- Published
- 1996-01
- Volume
- 8
- Issue
- 1
- Pages
- 15-19
- ISSN
- 1040-0397 (ISSN-L)
- 1521-4109
- OpenAlex
- W2074429770
- Cited by
- 293
- References
- 0
- FWCI
- 5.57
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Electrochecmical biosensors for DNA sequence detection. https://app.cochat.ai/papers/10.1002/elan.1140080104
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- Mikkelsen, S. R. (1996). Electrochecmical biosensors for DNA sequence detection. Electroanalysis. https://doi.org/10.1002/elan.1140080104
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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.
