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Cited by 368

The DOI matches its Crossref record; 190 of the 190 references it cites were found in a registry or an index.

Emerging synergy between nanotechnology and implantable biosensors: A review

Open access
Vaddiraju, Santhisagar, Tomazos, Ioannis, Burgess, Diane J., Jain, Faquir C., Papadimitrakopoulos, Fotios·2010·Biosensors and Bioelectronics

Abstract

The development of implantable biosensors for continuous monitoring of metabolites is an area of sustained scientific and technological interest. On the other hand, nanotechnology, a discipline which deals with the properties of materials at the nanoscale, is developing as a potent tool to enhance the performance of these biosensors. This article reviews the current state of implantable biosensors, highlighting the synergy between nanotechnology and sensor performance. Emphasis is placed on the electrochemical method of detection in light of its widespread usage and substantial nanotechnology-based improvements in various aspects of electrochemical biosensor performance. Finally, issues regarding toxicity and biocompatibility of nanomaterials, along with future prospects for the application of nanotechnology in implantable biosensors, are discussed.

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Crossref · 10.1016/j.bios.2009.12.001

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Metadata

Authors
Vaddiraju, S., Tomazos, I., Burgess, D. J., Jain, F. C., & Papadimitrakopoulos, F.
Venue
Biosensors and Bioelectronics
Publisher
Elsevier BV
Published
2010-03
Volume
25
Issue
7
Pages
1553-1565
ISSN
0956-5663 (ISSN-L)
OpenAlex
W1969066286
Cited by
368
References
190
FWCI
20.06
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Emerging synergy between nanotechnology and implantable biosensors: A review. https://app.cochat.ai/papers/10.1016/j.bios.2009.12.001
The paper
Vaddiraju, S., Tomazos, I., Burgess, D. J., Jain, F. C., & Papadimitrakopoulos, F. (2010). Emerging synergy between nanotechnology and implantable biosensors: A review. Biosensors and Bioelectronics. https://doi.org/10.1016/j.bios.2009.12.001

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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.