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Article . 2008
License: CC BY
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TrAC Trends in Analytical Chemistry
Article . 2008 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Electrochemical analysis with nanoparticle-based biosystems

Authors: Alfredo de la Escosura-Muñiz; Adriano Ambrosi; Arben Merkoçi;

Electrochemical analysis with nanoparticle-based biosystems

Abstract

We give a general overview on the application of electrochemical analysis to biosensing using nanoparticles (NPs). We describe several examples of applications of voltammetric, potentiometric, conductometric, impedimetric and scanning electrochemical microscope-based methods in NP characterization, detection and quantification. We discuss these examples in terms of sensitivity and selectivity, and other parameters of analytical performance. Using bioassay applications, we discuss the advantages of direct (without previous dissolution) vs. indirect (after dissolution or enhancement) detection of NPs using both voltammetric and potentiometric techniques. In the final part of this review, we describe the use of scanning electrochemical microscopy in characterizing and investigating intrinsic properties of metal and semiconductor NPs. This technique offers a promising approach to future bioanalytical applications, especially for single-molecule detection. The reported electrochemical methods show clear advantages for DNA and protein detection when compared to other techniques, even though application to real samples and development of final market-oriented designs are still awaited.

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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!
98
Top 10%
Top 10%
Top 10%