Abstract
Due to their unique structure, the optical and mechanical properties graphene and its derivatives (e.g. graphene oxide, reduced graphene oxide) have captured the attention of a constantly increasing number of scientists with regards to biomolecule sensing. This mini review focuses on one specific type of sensor, that consisting of graphene and polyelectrolytes. Polyelectrolyte-graphene nanocomposites exhibit outstanding detection capabilities by synergistically combining the characteristics of both components, outperforming traditional sensors in many cases. Characteristics and mechanistic details of the most important polyelectrolyte-graphene based sensors will be discussed in detail in addition to some current challenges and future perspectives.
Keywords: Polyelectrolytes, graphene, nanocomposites, sensors, hybrid materials.
Current Organic Chemistry
Title:Polyelectrolyte-graphene Nanocomposites for Biosensing Applications
Volume: 19 Issue: 18
Author(s): Dimitrios Priftis
Affiliation:
Keywords: Polyelectrolytes, graphene, nanocomposites, sensors, hybrid materials.
Abstract: Due to their unique structure, the optical and mechanical properties graphene and its derivatives (e.g. graphene oxide, reduced graphene oxide) have captured the attention of a constantly increasing number of scientists with regards to biomolecule sensing. This mini review focuses on one specific type of sensor, that consisting of graphene and polyelectrolytes. Polyelectrolyte-graphene nanocomposites exhibit outstanding detection capabilities by synergistically combining the characteristics of both components, outperforming traditional sensors in many cases. Characteristics and mechanistic details of the most important polyelectrolyte-graphene based sensors will be discussed in detail in addition to some current challenges and future perspectives.
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Cite this article as:
Priftis Dimitrios, Polyelectrolyte-graphene Nanocomposites for Biosensing Applications, Current Organic Chemistry 2015; 19 (18) . https://dx.doi.org/10.2174/1385272819666150526005557
DOI https://dx.doi.org/10.2174/1385272819666150526005557 |
Print ISSN 1385-2728 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-5348 |
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