The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Graphene Platform for Hairpin-DNA-Based Impedimetric Genosensing
Abstract
There is enormous need for sensitive and selective detection of single nucleotide polymorphism of a DNA strand as this issue is related to many major diseases and disorders, such as Parkinson's and Alzheimer's disease. To achieve sensitivity and selectivity of the detection, a highly sensitive transducer of the signal with high surface area is required. In this work we employ a graphene platform to combine the sensitivity of electrochemical impedance spectroscopy with the high selectivity of hairpin-shaped DNA probes for the rapid detection of single nucleotide polymorphism correlated to the development of Alzheimer's disease. We investigate the influence of various graphene platforms consisting of different numbers of same-sized graphene layers. We believe that our findings are an important step toward highly sensitive and selective sensing architectures.
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Cites
Electrochemical Glucose Sensors and Their Applications in Diabetes Management
Heller, A., & Feldman, B. (2008) · Chemical Reviews · doi:10.1021/cr068069y · Cited by 1,707
Graphene-based nanomaterials and their electrochemistry
Pumera, M. (2010) · Chemical Society Reviews · doi:10.1039/c002690p · Cited by 1,117
Self-citationHuman apolipoprotein E. The complete amino acid sequence
Rall, S. C., Weisgraber, K. H., & Mahley, R. W. (1982) · Journal of Biological Chemistry · doi:10.1016/s0021-9258(18)34702-1 · Cited by 741
Cited by
Electrochemistry of Graphene and Related Materials
Ambrosi, A., Chua, C. K., Bonanni, A., & Pumera, M. (2014) · Chemical Reviews · doi:10.1021/cr500023c · Cited by 1,208
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Metadata
- Authors
- Bonanni, A., & Pumera, M.
- Venue
- ACS Nano
- Publisher
- American Chemical Society (ACS)
- Published
- 2011-02-28
- Volume
- 5
- Issue
- 3
- Pages
- 2356-2361
- ISSN
- 1936-0851 (ISSN-L)
- 1936-086X
- OpenAlex
- W2037133352
- Cited by
- 298
- References
- 3
- FWCI
- 13.40
- Type
- journal article
- Language
- en
- Open access
- closed
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