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Graphene Oxide Sheet-Mediated Silver Enhancement for Application to Electrochemical Biosensors
Abstract
Functionalized graphene oxide (GO) sheets coupled with a signal amplification method based on the nanomaterial-promoted reduction of silver ions for the sensitive and selective detection of bacteria. This paper aims to develop an electrochemical route combined with GO sheet-mediated Ag enhancement for biological/chemical analyte detection. A linear relationship between the stripping response and the logarithm of the bacterial concentration was obtained using an electrochemical technique for concentrations ranging from 1.8 × 10(2) to 1.8 × 10(8) cfu mL(-1), with a slope of 15.28 and a correlation coefficient of 0.995. Dot blot assay was used as a conventional immunoassay method for comparison with the electrochemical method, as well as to observe the quality of the anti-sulfate-reducing bacteria (SRB) antibody (Ab) used in the immunosensor. The GO sheet-mediated silver enhancement holds great potential for the rapid analysis of protein, DNA, and pathogens.
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Citations
Cited by
Biomedical Applications of Graphene
Shen, H., Zhang, L., Liu, M., & Zhang, Z. (2012) · Theranostics · doi:10.7150/thno.3642 · Cited by 930
Graphene and graphene oxide as nanomaterials for medicine and biology application
Priyadarsini, S., Mohanty, S., Mukherjee, S., Basu, S., & Mishra, M. (2018) · Journal of Nanostructure in Chemistry · doi:10.1007/s40097-018-0265-6 · Cited by 570
Chang, H., & Wu, H. (2013) · Energy & Environmental Science · doi:10.1039/c3ee42518e · Cited by 549
Bao, Q., Zhang, D., & Qi, P. (2011) · Journal of Colloid and Interface Science · doi:10.1016/j.jcis.2011.05.009 · Cited by 465
Self-citationSingh, D. P., Herrera, C. E., Singh, B., Singh, S., Singh, R. K., & Kumar, R. (2018) · Materials Science and Engineering: C · doi:10.1016/j.msec.2018.01.004 · Cited by 313
Metadata
- Authors
- Wan, Y., Wang, Y., Wu, J., & Zhang, D.
- Venue
- Analytical Chemistry
- Publisher
- American Chemical Society (ACS)
- Published
- 2010-12-22
- Volume
- 83
- Issue
- 3
- Pages
- 648-653
- ISSN
- 0003-2700 (ISSN-L)
- 1520-6882
- OpenAlex
- W2320258615
- Cited by
- 175
- References
- 0
- Type
- journal article
- Language
- en
- Open access
- closed
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