Achieving
100% Utilization of Reduced Graphene Oxide
by Layer-by-Layer Assembly: Insight into the Capacitance of Chemically
Derived Graphene in a Monolayer State
Zhongwei Lei
Takahiro Mitsui
Hiroki Nakafuji
Masayuki Itagaki
Wataru Sugimoto
10.1021/jp412570s.s001
https://acs.figshare.com/articles/journal_contribution/Achieving_100_Utilization_of_Reduced_Graphene_Oxide_by_Layer_by_Layer_Assembly_Insight_into_the_Capacitance_of_Chemically_Derived_Graphene_in_a_Monolayer_State/2309608
Face-to-face restacking is one of
the main reasons for low surface
utilization of multilayered graphene. In this study, multilayered
reduced graphene oxide/polymer architecture was fabricated by gas
phase or chemical reduction of thin films composed of graphene oxide
monolayers using poly(diallyldimethylammonium) as the cationic binder
deposited by layer-by-layer self-assembly. The electrochemical behavior
of the thin films in acidic and neutral electrolytes was investigated
by using cyclic voltammetry and electrochemical impedance spectroscopy.
A transmission line model was adopted to simulate the electrochemical
impedance data. The electrochemical data were analyzed and deconvoluted
into charge storage due to non-Faradaic electrical double layer capacitance
and pseudocapacitance arising from Faradaic surface redox reactions.
Pseudocapacitance observed in acidic electrolyte is proportional to
the amount of surface functional groups. An overall volumetric capacitance
as high as 364 F cm<sup>–3</sup> was achieved for the nanoarchitecture,
and it is shown that the electrical double layer capacitance of a
monolayer of graphene oxide is 20 μF cm<sup>–2</sup>,
regardless of the number of layers deposited. This can be interpreted
as full capacitive utilization of reduced graphene oxide sheets in
the multilayered reduced graphene oxide films.
2014-04-03 00:00:00
Faradaic surface redox reactions
electrochemical impedance spectroscopy
graphene oxide sheets
electrochemical impedance data
graphene oxide films
graphene oxide monolayers
transmission line model
Chemically Derived Graphene
Reduced Graphene Oxide
layer capacitance