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Recent Advances in Nanotechnology Applied to Biosensors
Open accessAbstract
In recent years there has been great progress the application of nanomaterials in biosensors. The importance of these to the fundamental development of biosensors has been recognized. In particular, nanomaterials such as gold nanoparticles, carbon nanotubes, magnetic nanoparticles and quantum dots have been being actively investigated for their applications in biosensors, which have become a new interdisciplinary frontier between biological detection and material science. Here we review some of the main advances in this field over the past few years, explore the application prospects, and discuss the issues, approaches, and challenges, with the aim of stimulating a broader interest in developing nanomaterial-based biosensors and improving their applications in disease diagnosis and food safety examination.
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Citations
Cited by
Nanomaterials for Sensing and Destroying Pesticides
Aragay, G., Pino, F., & Merkoçi, A. (2012) · Chemical Reviews · doi:10.1021/cr300020c · Cited by 573
Silver-Based Plasmonic Nanoparticles for and Their Use in Biosensing
Loiseau, A., Asila, V., Boitel-Aullen, G., Lam, M., Salmain, M., & Boujday, S. (2019) · Biosensors · doi:10.3390/bios9020078 · Cited by 503
The toxicity of nanoparticles and their interaction with cells: an in vitro metabolomic perspective
Awashra, M., & Młynarz, P. (2023) · Nanoscale Advances · doi:10.1039/d2na00534d · Cited by 319
Metadata
- Authors
- Zhang, X., Guo, Q., & Cui, D.
- Venue
- Sensors
- Publisher
- MDPI AG
- Published
- 2009-02-17
- Volume
- 9
- Issue
- 2
- Pages
- 1033-1053
- ISSN
- 1424-8220 (ISSN-L)
- OpenAlex
- W2130974392
- Cited by
- 382
- References
- 0
- FWCI
- 18.48
- Type
- journal article
- Language
- en
- Open access
- gold
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- Zhang, X., Guo, Q., & Cui, D. (2009). Recent Advances in Nanotechnology Applied to Biosensors. Sensors. https://doi.org/10.3390/s90201033
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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.
