Fast Synthesis of Highly Oxidized Graphene Oxide

Ondřej Jankovský, Adéla Jiříčková, Jan Luxa, David Sedmidubský, Martin Pumera, Zdeněk Sofer

Research output: Contribution to journalArticlepeer-review

27 Citations (Scopus)

Abstract

Graphene oxide (GO) is an important material used as precursor for the synthesis of graphene, its derivatives and various graphene based composite materials. In this paper we would like to demonstrate that highly-oxidized graphene oxide can be prepared much faster and, moreover, it has almost identical chemical composition compared to the previously published and currently broadly used standard procedures. We prepared two samples: one using the usual Tour's method and the other one using the novel method. The main advantage of this improved method is the shorter synthesis time which can be reduced six times allowing scaling and speeding up of large scale production. Oxidation shortening also led to reduction of defect concentration. Both graphene oxides were characterized in detail showing almost identical structure as well as chemical composition and concentration of oxygen functionalities typical for graphene oxide prepared by permanganate methods. In addition the sorption capacity towards heavy metals (zinc, cadmium and lead) was also studied showing a comparable sorption capacity with standard graphene oxide prepared by Tour method. Graphene oxide prepared by rapid oxidation can form mechanically stable transparent membranes. Our developed method of graphene oxide synthesis is time-efficient, cost-efficient and can help to introduce graphene oxide to industrial scale production.

Original languageEnglish
Pages (from-to)9000-9006
Number of pages7
JournalChemistrySelect
Volume2
Issue number28
DOIs
Publication statusPublished - 2017 Sept 29

Bibliographical note

Funding Information:
Project was supported by Czech Science Foundation (GACR No. 16-05167S and GACR No. 17-05421S) and by specific university research (MSMT No. 20-SVV/2017). This work was created with the financial support of the Neuron Foundation for science support. This work was supported by the project Advanced Functional Nanorobots (reg. No. CZ.02.1.01/0.0/0.0/15_003/ 0000444 financed by the EFRR).

Publisher Copyright:
© 2017 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim

All Science Journal Classification (ASJC) codes

  • Chemistry(all)

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