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Trends in Biotechnology
Article . 2005 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Developing implantable optical biosensors

Authors: Department of Chemical Engineering, University of Florida, Gainesville, FL 32611, USA ( host institution ); Ziegler, Kirk J.;

Developing implantable optical biosensors

Abstract

Nanobiotechnologists are developing devices that can measure specific enzymes and proteins. These devices are expected to detect single enzyme or protein molecules accurately, providing highly sensitive biosensing applications. A recent study by Strano and co-workers shows that single-walled carbon nanotubes (SWNTs) hold great promise as implantable biosensors. Although most researchers have focused on substrate-oriented biosensors, Strano and colleagues have shown that the inherent fluorescent properties of suspended individual SWNTs can be used for solution-phase beta-D-glucose sensing.

Country
United States
Related Organizations
Keywords

Glucose, Nanotubes, Carbon, Animals, Biosensing Techniques, Prostheses and Implants

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
36
Top 10%
Top 10%
Top 10%
Green