• 文献标题:   Interactions between Primary Neurons and Graphene Films with Different Structure and Electrical Conductivity
  • 文献类型:   Article, Early Access
  • 作  者:   CAPASSO A, RODRIGUES J, MOSCHETTA M, BUONOCORE F, FAGGIO G, MESSINA G, KIM MJ, KWON J, PLACIDI E, BENFENATI F, BRAMINI M, LEE GH, LISI N
  • 作者关键词:   2d material, electrical conductivity, hydrophilicity, neuronal network, poly ethylene terephthalate
  • 出版物名称:   ADVANCED FUNCTIONAL MATERIALS
  • ISSN:   1616-301X EI 1616-3028
  • 通讯作者地址:   Int Iberian Nanotechnol Lab INL
  • 被引频次:   0
  • DOI:   10.1002/adfm.202005300 EA SEP 2020
  • 出版年:  

▎ 摘  要

Graphene-based materials represent a useful tool for the realization of novel neural interfaces. Several studies have demonstrated the biocompatibility of graphene-based supports, but the biological interactions between graphene and neurons still pose open questions. In this work, the influence of graphene films with different characteristics on the growth and maturation of primary cortical neurons is investigated. Graphene films are grown by chemical vapor deposition progressively lowering the temperature range from 1070 to 650 degrees C to change the lattice structure and corresponding electrical conductivity. Two graphene-based films with different electrical properties are selected and used as substrate for growing primary cortical neurons: i) highly crystalline and conductive (grown at 1070 degrees C) and ii) highly disordered and 140-times less conductive (grown at 790 degrees C). Electron and fluorescence microscopy imaging reveal an excellent neuronal viability and the development of a mature, structured, and excitable network onto both substrates, regardless of their microstructure and electrical conductivity. The results underline that high electrical conductivity by itself is not fundamental for graphene-based neuronal interfaces, while other physico-chemical characteristics, including the atomic structure, should be also considered in the design of functional, bio-friendly templates. This finding widens the spectrum of carbon-based materials suitable for neuroscience applications.