scholarly journals Covalently linked benzimidazole-containing reduced graphene oxide/polyaniline nanocomposites as electrode materials

RSC Advances ◽  
2019 ◽  
Vol 9 (42) ◽  
pp. 24646-24653 ◽  
Author(s):  
Arkapal Roy ◽  
Saptarshi Dhibar ◽  
Sibu Kundu ◽  
Sudip Malik

Benzimidazole linked graphene oxide as well as three set of binary composite consisted of conducting polyaniline and the reduced chemically converted graphene oxide were successfully developed and utilized as electrode materials.

2015 ◽  
Vol 17 (2) ◽  
pp. 776-780 ◽  
Author(s):  
Barun Kumar Barman ◽  
Karuna Kar Nanda

We demonstrate a Si-mediated environmentally friendly reduction of graphene oxide (GO) and the fabrication of hybrid electrode materials with multiwall carbon nanotubes and nanofibers. The reduction of GO is facilitated by the nascent hydrogen generated by the reaction between Si and KOH. The overall process consumes 10 to 15 μm of Si each time and the same Si substrate can be used multiple times.


Materials ◽  
2019 ◽  
Vol 12 (7) ◽  
pp. 1074 ◽  
Author(s):  
Pier Paolo Prosini ◽  
Maria Carewska ◽  
Cinzia Cento ◽  
Gabriele Tarquini ◽  
Fabio Maroni ◽  
...  

A tin-decorated reduced graphene oxide, originally developed for lithium-ion batteries, has been investigated as an anode in sodium-ion batteries. The composite has been synthetized through microwave reduction of poly acrylic acid functionalized graphene oxide and a tin oxide organic precursor. The final product morphology reveals a composite in which Sn and SnO2 nanoparticles are homogenously distributed into the reduced graphene oxide matrix. The XRD confirms the initial simultaneous presence of Sn and SnO2 particles. SnRGO electrodes, prepared using Super-P carbon as conducting additive and Pattex PL50 as aqueous binder, were investigated in a sodium metal cell. The Sn-RGO showed a high irreversible first cycle capacity: only 52% of the first cycle discharge capacity was recovered in the following charge cycle. After three cycles, a stable SEI layer was developed and the cell began to work reversibly: the practical reversible capability of the material was 170 mA·h·g−1. Subsequently, a material of formula NaLi0.2Ni0.25Mn0.75O was synthesized by solid-state chemistry. It was found that the cathode showed a high degree of crystallization with hexagonal P2-structure, space group P63/mmc. The material was electrochemically characterized in sodium cell: the discharge-specific capacity increased with cycling, reaching at the end of the fifth cycle a capacity of 82 mA·h·g−1. After testing as a secondary cathode in a sodium metal cell, NaLi0.2Ni0.25Mn0.75O was coupled with SnRGO anode to form a sodium-ion cell. The electrochemical characterization allowed confirmation that the battery was able to reversibly cycle sodium ions. The cell’s power response was evaluated by discharging the SIB at different rates. At the lower discharge rate, the anode capacity approached the rated value (170 mA·h·g−1). By increasing the discharge current, the capacity decreased but the decline was not so pronounced: the anode discharged about 80% of the rated capacity at 1 C rate and more than 50% at 5 C rate.


Proceedings ◽  
2019 ◽  
Vol 15 (1) ◽  
pp. 18
Author(s):  
KumarBairagi ◽  
Goyal ◽  
NishithVerma

Methyl nicotinate (MN) is an important tuberculosis biomarker, and can be effectively measured using electrochemical methods. In this study, we have developed a novel N-doped phenolic polymer nanocomposite in situ dispersed with reduced graphene oxide and cobalt (Co)-nanoparticles as a sensor electrode (Co-rGO/PC). Co-nanoparticles were used for the MN recognition. Carbonization was performed for the reduction of GO and the synthesis of Co-nanoparticles. The prepared electrode materials were characterized using SEM, EDS, EIS, and CV. Tested using differential pulse voltammetry, Co-rGO/PC showed its pplicability (RSD < 6%) over 0.05–20.0 mg L−1 MN concentration with high sensitivity (S/N ratio = 3). The present method and materials can also be used for the development of sensors for the other biomarkers.


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