4.6 Article

Porous graphene network from graphene oxide: Facile self-assembly and temperature dependent structural evolution

Journal

MATERIALS TODAY COMMUNICATIONS
Volume 26, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.mtcomm.2020.101930

Keywords

Graphene oxide; Porous graphene; Graphene network; Raman scattering

Funding

  1. IIITDM Kancheepuram
  2. Science and Engineering Research Board, Department of Science and Technology (SERBDST) , Govt. of India [ECR/2016/001715]
  3. SERB, Govt. of India [CRG/2019/000371]
  4. Council of Scientific and Industrial Research (CSIR) [09/1022 (0039)/2017EMRI]
  5. DST, Govt. of India, under the FIST scheme [SR/FST/PSI-225/2016]

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An easy and efficient method for synthesizing porous graphene network (PGN) from reduced graphene oxide under ambient conditions has been developed, showing promise for various applications. The structural transformation during reduction of GO was investigated using X-ray diffraction, Fourier transform infrared spectroscopy and Raman spectroscopy. The results demonstrate a convenient and general protocol for synthesizing PGN from GO.
There has been increasing interest to synthesize porous graphene structures for various applications, viz. supercapacitors, photovoltaic cells and sensors due to their unique structure with interconnected network, high surface area, excellent electrical conductivity and good thermal stability. Herein, a facile and highly effective scalable method has been developed to synthesize porous graphene network (PGN) from reduced graphene oxide. PNG was synthesized by a facile process that combines the synthesis of graphene oxide (GO) by modified Hummers method and optimization of reduction temperature in ambient conditions. The morphology of the prepared samples was investigated by scanning electron microscopy. Structural transformation during reduction of GO under ambient conditions was investigated using X-ray diffraction, Fourier transform infrared spectroscopy and Raman spectroscopy. In comparison to already existing methods, these results demonstrate a very convenient and general protocol to synthesize the PGN from GO for various applications.

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