The DOI matches its Crossref record.
Cancer detection using nanoparticle-based sensors
Abstract
This tutorial review surveys the latest achievements in the use of nanoparticles to detect cancer biomarkers and cancer cells with a focus on optical and electrochemical techniques. Nanoparticle based cancer diagnostics are becoming an increasingly relevant alternative to traditional techniques. Although some drawbacks exist in relation to the obtained sensitivity the use of nanoparticle-based sensors in biomarker detection or cancer cell detection offers some advantages in comparison to conventional methods. The developed techniques can be interesting and relevant for their use in point-of-care of cancer diagnostics. The methods can be of low cost and in addition easy to be incorporated into user-friendly sensing platforms.
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Citations
Cited by
Nicolas, J., Mura, S., Brambilla, D., Mackiewicz, N., & Couvreur, P. (2013) · Chem. Soc. Rev. · doi:10.1039/c2cs35265f · Cited by 1,270
Metadata
- Authors
- Perfézou, M., Turner, A., & Merkoçi, A.
- Venue
- Chem. Soc. Rev.
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2012
- Volume
- 41
- Issue
- 7
- Pages
- 2606-2622
- ISSN
- 0306-0012 (ISSN-L)
- 1460-4744
- OpenAlex
- W1972770616
- Cited by
- 364
- References
- 0
- FWCI
- 1.71
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
