• 文献标题:   Facile synthesis of hollow Co3O4-embedded carbon/reduced graphene oxides nanocomposites for use as efficient electrocatalysts in oxygen evolution reaction
  • 文献类型:   Article
  • 作  者:   ZHANG JH, LI F, CHEN WB, WANG CS, CAI DD
  • 作者关键词:   zif67, hollow co3o4, reduced graphene oxide, electrocatalyst, oxygen evolution reaction
  • 出版物名称:   ELECTROCHIMICA ACTA
  • ISSN:   0013-4686 EI 1873-3859
  • 通讯作者地址:   Guangxi Normal Univ
  • 被引频次:   26
  • DOI:   10.1016/j.electacta.2019.01.100
  • 出版年:   2019

▎ 摘  要

The development of non-noble-metal electrocatalysts that are both efficient and stable is of upmost important for the oxygen evolution reaction (OER) in renewable-energy technologies. In this study, cobalt-based zeolitic imidazolate frameworks wrapped by graphene oxide-water (denoted as ZIF-67/GO-W) were successfully prepared by a simple precipitate reaction using water as solvent. Due to the high dispersion of GO in aqueous solution, the synthesis of ZIF-67/GO-W enabled a smaller particle size of ZIF-67 to be attained, also resulted in a more homogeneous distribution between ZIF-67 and GO. Furthermore, a novel hybrid nanostructure comprised of hollow Co3O4-embedded carbon/reduced graphene oxides (Co(3)O(4)eC/rGO-W) is achieved through a facile synthetic route involving the calcination-oxidation of ZIF-67/GO-W. The resulting nanocomposites were found to combine the high conductivity of graphene, the promising catalytic properties of the hollow Co3O4 nanoparticles and a homogeneous distribution of the ZIF-67/GO-W precursor. Enhanced OER activity and improved stability was therefore realized. The hollow Co(3)O(4)eC/rGO-W was found to exhibit a low overpotential (382 mV) and a low tafel slope (62 mV dec(-1)) in 0.1 M KOH, rendering them comparable to the commercial RuO2 catalyst and an improvement to Co3O4 nanoparticles. This work presents an alternative strategy for the development of uniformly distributed ZIF-67/GO-W using water as solvent and suggests hollow Co(3)O(4)eC/rGO-W as potential electrocatalysts for the OER in energy-related applications. (C) 2019 Elsevier Ltd. All rights reserved.