Literature DB >> 24591401

Capacitance of p- and n-doped graphenes is dominated by structural defects regardless of the dopant type.

Adriano Ambrosi1, Hwee Ling Poh, Lu Wang, Zdenek Sofer, Martin Pumera.   

Abstract

Graphene materials possess attractive properties that can be used for the fabrication of supercapacitors with enhanced energy-storage performance. It has been shown that both boron and nitrogen doping of graphene can improve the intrinsic capacitance of the material relative to the undoped precursor. We address the question of whether p-doping (using boron as dopant) or n-doping (using nitrogen as dopant) leads to increased capacitance relative to undoped graphene materials. Using thermal exfoliation we synthesized both boron- and nitrogen-doped graphene materials and measured capacitance relative to the undoped material. After a full characterization by SEM analysis, X-ray photoelectron spectroscopy, Raman spectroscopy, gamma-ray activation analysis, Brunauer-Emmett-Teller analysis, and electrochemical techniques we demonstrate that the doping process does not lead to enhancement of capacitive behavior and that the main characteristic influencing capacitance is the presence of structural defects within the graphitic structure, independent of doping level.
© 2014 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  boron; doping; electrochemistry; electron microscopy; nitrogen

Mesh:

Substances:

Year:  2014        PMID: 24591401     DOI: 10.1002/cssc.201400013

Source DB:  PubMed          Journal:  ChemSusChem        ISSN: 1864-5631            Impact factor:   8.928


  2 in total

1.  Doped and undoped graphene platforms: the influence of structural properties on the detection of polyphenols.

Authors:  Chu'Er Chng; Zdenek Sofer; Martin Pumera; Alessandra Bonanni
Journal:  Sci Rep       Date:  2016-02-10       Impact factor: 4.379

2.  Doped Graphene for DNA Analysis: the Electrochemical Signal is Strongly Influenced by the Kind of Dopant and the Nucleobase Structure.

Authors:  Huidi Tian; Lu Wang; Zdenek Sofer; Martin Pumera; Alessandra Bonanni
Journal:  Sci Rep       Date:  2016-09-14       Impact factor: 4.379

  2 in total

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