Design of a Smart Nerve Conduit Based on a Shape-Memory Polymer

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

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Author(s)

  • Cheng Chen
  • Jinlian Hu
  • Huahua Huang
  • Yong Zhu
  • Tingwu Qin

Detail(s)

Original languageEnglish
Article number1600015
Journal / PublicationAdvanced Materials Technologies
Volume1
Issue number4
Online published18 May 2016
Publication statusPublished - Jul 2016
Externally publishedYes

Abstract

The peripheral nervous system (PNS) may be damaged by traffic accidents and natural disasters. Nerve repair and regeneration are unique clinical challenges for surgeons. A smart nerve conduit (SNC) is designed that can significantly simplify the surgery process and achieve optimal peripheral nerve regeneration (PNR) by automatic gradual lengthening. For this purpose, five macromers with different rac-lactide to glycolide weight ratios are synthesized and the characteristics of the synthesized networks are studied. Cyclic thermomechanical measurements indicate the robustness of molecular structure for shape-memory function. Body-water-responsive shape-memory behavior is evaluated by use of angle-recovery measurements. The shape-recovery time of the polymer is adjusted by selection of comonomer ratio and the overall gradual-recovery function of a device can be realized by a suitable combination of different copolymers. Thus a trisegment smart nerve conduit is fabricated from this polymer system by electrospinning and is shown to gradually recover in an in vitro experiment under stimulated physiological conditions, that is, body-liquid environment (36 °C water). In vitro culture and qualitative immunocytochemistry of Schwann cells are used to assess the biocompatibility of the fabricated SNC.

Research Area(s)

  • body water, electrospinning, gradual recovery, shape-memory polymers, smart nerve regeneration conduits

Citation Format(s)

Design of a Smart Nerve Conduit Based on a Shape-Memory Polymer. / Chen, Cheng; Hu, Jinlian; Huang, Huahua et al.

In: Advanced Materials Technologies, Vol. 1, No. 4, 1600015, 07.2016.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review