Computational Design and Optimization of Nerve Guidance Conduits for Improved Mechanical Properties and Permeability

Shuo Zhang, Sanjairaj Vijayavenkataraman, Geng Liang Chong, Jerry Ying Hsi Fuh, Wen Feng Lu

Research output: Contribution to journalArticle

Abstract

Nerve guidance conduits (NGCs) are tubular tissue engineering scaffolds used for nerve regeneration. The poor mechanical properties and porosity have always compromised their performances for guiding and supporting axonal growth. Therefore, in order to improve the properties of NGCs, the computational design approach was adopted to investigate the effects of different NGC structural features on their various properties, and finally, design an ideal NGC with mechanical properties matching human nerves and high porosity and permeability. Three common NGC designs, namely hollow luminal, multichannel, and microgrooved, were chosen in this study. Simulations were conducted to study the mechanical properties and permeability. The results show that pore size is the most influential structural feature for NGC tensile modulus. Multichannel NGCs have higher mechanical strength but lower permeability compared to other designs. Square pores lead to higher permeability but lower mechanical strength than circular pores. The study finally selected an optimized hollow luminal NGC with a porosity of 71% and a tensile modulus of 8 MPa to achieve multiple design requirements. The use of computational design and optimization was shown to be promising in future NGC design and nerve tissue engineering research.

Original languageEnglish (US)
Article number051007
JournalJournal of Biomechanical Engineering
Volume141
Issue number5
DOIs
StatePublished - May 1 2019

Fingerprint

Mechanical permeability
Porosity
Permeability
Mechanical properties
Tissue Engineering
Tissue Scaffolds
Nerve Tissue
Nerve Regeneration
Tissue engineering
Strength of materials
Elastic moduli
Engineering research
Scaffolds (biology)
Growth
Pore size
Research

Keywords

  • computational design
  • Finite element analysis
  • nerve guidance conduits
  • tissue engineering

ASJC Scopus subject areas

  • Biomedical Engineering
  • Physiology (medical)

Cite this

Computational Design and Optimization of Nerve Guidance Conduits for Improved Mechanical Properties and Permeability. / Zhang, Shuo; Vijayavenkataraman, Sanjairaj; Chong, Geng Liang; Fuh, Jerry Ying Hsi; Lu, Wen Feng.

In: Journal of Biomechanical Engineering, Vol. 141, No. 5, 051007, 01.05.2019.

Research output: Contribution to journalArticle

Zhang, Shuo ; Vijayavenkataraman, Sanjairaj ; Chong, Geng Liang ; Fuh, Jerry Ying Hsi ; Lu, Wen Feng. / Computational Design and Optimization of Nerve Guidance Conduits for Improved Mechanical Properties and Permeability. In: Journal of Biomechanical Engineering. 2019 ; Vol. 141, No. 5.
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