• 文献标题:   Surface Engineering of Graphene Oxide Shells Using Lamellar LDH Nanostructures
  • 文献类型:   Article
  • 作  者:   KIRAN SK, SHUKLA S, STRUCK A, SAXENA S
  • 作者关键词:   graphene oxide, hybrid material, dendritic celllike morphologie, energy storage, ldh
  • 出版物名称:   ACS APPLIED MATERIALS INTERFACES
  • ISSN:   1944-8244 EI 1944-8252
  • 通讯作者地址:   Indian Inst Technol
  • 被引频次:   9
  • DOI:   10.1021/acsami.8b21265
  • 出版年:   2019

▎ 摘  要

The discovery of graphene oxide (GO) has made a profound impact on varied areas of research due to its excellent physicochemical properties. However, surface engineering of these nanostructures holds the key to enhanced surface properties. Here, we introduce surface engineering of reduced GO (rGO) shells by radially grafting Ni-Co layered double hydroxide (LDH) lamella on rGO shells to form Ni-Co LDH@rGO. The morphology of synthesized Ni-Co LDH@rGO mimics dendritic cell-like three-dimensional (3D) hierarchical morphologies. Silica nanospheres form self-sacrificial templates during the reduction of GO shells to form rGO shells during the template-assisted synthesis. The radial growth of LDH lamellae during hydrothermal process on GO shells provides access to a significantly larger number of additional active redox sites and overcompensates the loss of pseudocapacitive charge storage centers during the reduction of GO to form rGO shells. This enables in the synthesis of novel surface-engineered rGO nanoshells, which provide large surface area, enhanced redox sites, high porosity, and easy transport of ions. These synthesized 3D dendritic cell-like morphologies of Ni-Co LDH@rGO show a high capacitance of similar to 2640 F g(-1). A flexible hybrid device fabricated using this nanomaterial shows a high energy density of similar to 35 Wh kg(-1) and a power density of 750 W kg(-1) at 1 A g(-1). No appreciable compromise in device performance is observed under bending conditions. This synthesis strategy may be used in the development of functional materials useful for potential applications, including sensors, catalysts, and energy storage.