Jump to main content
Jump to site search

Issue 34, 2016
Previous Article Next Article

Large area graphene nanomesh: an artificial platform for edge-electrochemical biosensing at the sub-attomolar level

Author affiliations

Abstract

Recent advances in large area graphene growth have led to tremendous applications in a variety of areas. The graphene nanomesh with its tunable band-gap is of great interest for both fundamental research, to explore the effect of edges on both the 2D electrical conduction and its electrochemical behavior, and applications such as nanoelectronic devices or highly sensitive biosensors. Here, we report on the fabrication of a large surface graphene nanomesh by nanoimprint lithography (NIL) to produce controlled artificial edges. The electrochemical response of this high quality single graphene layer imprinted nanomesh shows an enhancement in capacitance associated with faster electron transfer which can be attributed to the high density of edges. The electrochemical performances of this nanomesh graphene platform have been also studied for label-free DNA detection from Hepatitis C virus as a model. We demonstrate that such a nanomesh platform allows direct detection at the sub-attomolar level with more than 90% of molecules located on the imprinted artificial edges. Such a graphene nanomesh electrode will find useful future applications in the field of biosensing.

Graphical abstract: Large area graphene nanomesh: an artificial platform for edge-electrochemical biosensing at the sub-attomolar level

Back to tab navigation

Supplementary files

Publication details

The article was received on 27 May 2016, accepted on 02 Aug 2016 and first published on 03 Aug 2016


Article type: Communication
DOI: 10.1039/C6NR04289A
Citation: Nanoscale, 2016,8, 15479-15485
  •   Request permissions

    Large area graphene nanomesh: an artificial platform for edge-electrochemical biosensing at the sub-attomolar level

    B. Zribi, J. Castro-Arias, D. Decanini, N. Gogneau, D. Dragoe, A. Cattoni, A. Ouerghi, H. Korri-Youssoufi and A. Haghiri-Gosnet, Nanoscale, 2016, 8, 15479
    DOI: 10.1039/C6NR04289A

Search articles by author

Spotlight

Advertisements