Title | The development of electrically conductive polycaprolactone fumarate-polypyrrole composite materials for nerve regeneration. |
Publication Type | Journal Article |
Year of Publication | 2010 |
Journal | Biomaterials |
Volume | 31 |
Issue | 23 |
Pagination | 5916 - 5926 |
Authors | M. Runge, Brett, Mahrokh Dadsetan, Jonas Baltrusaitis, Andrew M. Knight, Terry Ruesink, Eric A. Lazcano, Lichun Lu, Anthony J. Windebank, and Michael J. Yaszemski |
Publisher | Elsevier Ltd. |
ISBN Number | 0142-9612 |
Keywords | elec conductive polycaprolactone fumarate polypyrrole composite nerve regeneration |
Abstract | Elec. conductive polymer composites composed of polycaprolactone fumarate and polypyrrole (PCLF-PPy) have been developed for nerve regeneration applications. Here we report the synthesis and characterization of PCLF-PPy and in vitro studies showing PCLF-PPy materials support both PC12 cell and dorsal root ganglia (DRG) neurite extension. PCLF-PPy composite materials were synthesized by polymg. pyrrole in preformed PCLF scaffolds (Mn 7000 or 18,000 g mol-1) resulting in interpenetrating networks of PCLF-PPy. Chem. compns. and thermal properties were characterized by ATR-FTIR, XPS, DSC, and TGA. PCLF-PPy materials were synthesized with five different anions (naphthalene-2-sulfonic acid sodium salt (NSA), dodecylbenzenesulfonic acid sodium salt (DBSA), dioctyl sulfosuccinate sodium salt (DOSS), potassium iodide (I), and lysine) to investigate effects on elec. cond. and to optimize chem. compn. for cellular compatibility. PCLF-PPy materials have variable elec. cond. up to 6 mS cm-1 with bulk compns. ranging from 5 to 13.5 % polypyrrole. AFM and SEM characterization show microstructures with a root mean squared (RMS) roughness of 1195 nm and nanostructures with RMS roughness of 8 nm. In vitro studies using PC12 cells and DRG show PCLF-PPy materials synthesized with NSA or DBSA support cell attachment, proliferation, neurite extension, and are promising materials for future studies involving elec. stimulation. [on SciFinder(R)] |