4.8 Review

Graphene-Based Nanomaterials for Neuroengineering: Recent Advances and Future Prospective

Journal

ADVANCED FUNCTIONAL MATERIALS
Volume 31, Issue 46, Pages -

Publisher

WILEY-V C H VERLAG GMBH
DOI: 10.1002/adfm.202104887

Keywords

nanomaterials; neuroengineering; neuronal interfaces; neuronal tissue engineering; neuron differentiation; neuron outgrowth

Funding

  1. European Union [838902, 881603]
  2. Israel Science Foundation [1053/15]
  3. Planning and Budgeting Committee (PBC) of the Council of Higher Education
  4. Marie Curie Actions (MSCA) [838902] Funding Source: Marie Curie Actions (MSCA)

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Graphene family nanomaterials (GNMs) have been extensively studied for biomedical applications, particularly in the field of neuronal engineering and regeneration. The focus is on the impact of GNMs on cell differentiation and neuronal network growth in the nervous system. The potential of GNMs for controlled induction of tissue regeneration is also highlighted.
Graphene unique physicochemical properties made it prominent among other allotropic forms of carbon, in many areas of research and technological applications. Interestingly, in recent years, many studies exploited the use of graphene family nanomaterials (GNMs) for biomedical applications such as drug delivery, diagnostics, bioimaging, and tissue engineering research. GNMs are successfully used for the design of scaffolds for controlled induction of cell differentiation and tissue regeneration. Critically, it is important to identify the more appropriate nano/bio material interface sustaining cells differentiation and tissue regeneration enhancement. Specifically, this review is focussed on graphene-based scaffolds that endow physiochemical and biological properties suitable for a specific tissue, the nervous system, that links tightly morphological and electrical properties. Different strategies are reviewed to exploit GNMs for neuronal engineering and regeneration, material toxicity, and biocompatibility. Specifically, the potentiality for neuronal stem cells differentiation and subsequent neuronal network growth as well as the impact of electrical stimulation through GNM on cells is presented. The use of field effect transistor (FET) based on graphene for neuronal regeneration is described. This review concludes the important aspects to be controlled to make graphene a promising candidate for further advanced application in neuronal tissue engineering and biomedical use.

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