• 文献标题:   Disordered Graphene/Quartz Fabric as Biocompatible and Conductive Scaffold Promising for Regulated Growth and Differentiation of Nerve Cells
  • 文献类型:   Article
  • 作  者:   GONG Q, HONG J, REN M, SHEN ZJ, ZHU SQ, HAO Y, ZHU ZC, LI L, KANG LX, DI JT, CHENG GS, LI QW
  • 作者关键词:   electrical stimulation, graphene, nerve differentiation, quartz fiber
  • 出版物名称:   ADVANCED ENGINEERING MATERIALS
  • ISSN:   1438-1656 EI 1527-2648
  • 通讯作者地址:  
  • 被引频次:   0
  • DOI:   10.1002/adem.202300237 EA APR 2023
  • 出版年:   2023

▎ 摘  要

Nowadays, the use of topographical features and electrical conductivity of scaffolds at the cell-substrate interface for effectively regulating cell growth and differentiation have gained increasing attention due to great demands for tissue engineering. Herein, a facile approach to the growth of highly disordered graphene nanosheets (HDGNs) is demonstrated on a cheap and weaving quartz-braided structure as a functionalized scaffold for the differentiation of nerve cells. The patterned aligned structure can effectively integrate the advantages of a conductive graphene-functional interface (favorable for cell attachment and growth), topologically woven surface structure, providing a flexible and multifunctional regulatory platform for nerve cell growth. Compared with monocrystal polycrystalline graphene, amorphous graphene has high biocompatibility due to sufficient active sites, and has high conductivity to the composite nonconductive substrate, which can realize electrical stimulation (ES) of cell differentiation. Herein, the HDGN/quartz fabric with high biocompatibility (the cell viability is 98%), and great electrical conductivity, is proved. Then, the applied ES coupled with HDGN/quartz fabric significantly enhances selective neuronal differentiation into neurons (the differentiation growth rate is 131%). Collectively, herein, a new material basis is provided for electric induction of cell growth and differentiation, providing more possibilities for the development of intelligent biological applications.