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Molecules 2018, 23(8), 2050; https://doi.org/10.3390/molecules23082050

Graphene and Graphene-Based Nanomaterials for DNA Detection: A Review

1
George S. Ansell Department of Metallurgical and Materials Engineering, Colorado School of Mines, Golden, CO 80401, USA
2
State Key Laboratory of Tribology, Department of Mechanical Engineering, Tsinghua University, Beijing 100084, China
3
Department of Precision Engineering, The University of Tokyo, Tokyo 113-8656, Japan
4
Kunshan Branch, Institute of Microelectronics, Chinese Academy of Sciences, Suzhou 215347, China
*
Authors to whom correspondence should be addressed.
Received: 8 July 2018 / Revised: 4 August 2018 / Accepted: 5 August 2018 / Published: 16 August 2018
(This article belongs to the Special Issue Graphene Nanocomposites)
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Abstract

DNA detection with high sensitivity and specificity has tremendous potential as molecular diagnostic agents. Graphene and graphene-based nanomaterials, such as graphene nanopore, graphene nanoribbon, graphene oxide, and reduced graphene oxide, graphene-nanoparticle composites, were demonstrated to have unique properties, which have attracted increasing interest towards the application of DNA detection with improved performance. This article comprehensively reviews the most recent trends in DNA detection based on graphene and graphene-related nanomaterials. Based on the current understanding, this review attempts to identify the future directions in which the field is likely to thrive, and stimulate more significant research in this subject. View Full-Text
Keywords: DNA detection; graphene; graphene-based nanomaterials; biosensors DNA detection; graphene; graphene-based nanomaterials; biosensors
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Wu, X.; Mu, F.; Wang, Y.; Zhao, H. Graphene and Graphene-Based Nanomaterials for DNA Detection: A Review. Molecules 2018, 23, 2050.

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