4.8 Article

Scalable Production of Edge-Functionalized Graphene Nanoplatelets via Mechanochemical Ball-Milling

Journal

ADVANCED FUNCTIONAL MATERIALS
Volume 25, Issue 45, Pages 6961-6975

Publisher

WILEY-V C H VERLAG GMBH
DOI: 10.1002/adfm.201502214

Keywords

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Funding

  1. Creative Research Initiative (CRI) program through the National Research Foundation (NRF) of Korea
  2. Mid-Career Researcher (MCR) program through the National Research Foundation (NRF) of Korea
  3. BK21 Plus program through the National Research Foundation (NRF) of Korea
  4. Basic Research Laboratory (BRL) program through the National Research Foundation (NRF) of Korea
  5. US Air Force Office of Scientific Research through the Asian Office of Aerospace RD (AFOSRAOARD)

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Although there are a variety of methods for producing graphene, commercialization remains challenging because each method has its own pros and cons. For the wide use of graphene as a next generation material in diverse applications, the process by which graphene is manufactured must be robust enough to overcome barriers to commercialization, as has been experienced in commercializing carbon nanotube products. Here, a recent discovery of a new manufacturing process for efficient delamination of graphite into graphene nanoplatelets (GnPs) via mechanochemical ball-milling is summarized. In this process, transferring sufficient kinetic energy to graphitic frameworks will crack graphitic C-C bonds, generate active carbon species (mostly carbon free radicals), introduce edge-functional groups, and delaminate graphitic layers into edge-functionalized GnPs (EFGnPs). While this process is a method for mass production, it does not involve hazardous chemicals (e.g., corrosive acids and toxic reducing agents) such as those used for producing graphene oxide (GO) and reduced graphene oxide (rGO). Owing to its edge-selective functionalization, the EFGnPs have minimal basal area defects with selectivity of a variety of edge groups by forming edge C-X bonds (X = nonmetals or metalloids) that are tunable.

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