Permissive Electroconductive Nanocomposites for Neuronal Progenitor Cells

Sara Abasi, John R. Aggas, Anthony Guiseppi-Elie

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations


Scaffold development for hosting progenitor and stem cells for tissue and regenerative engineering applications necessitates engineering of biomaterials to mimic the specific tissue environment. Such biomimicry includes the topographical, mechanical and electrical properties of the materials. In this study, the development of a nanocomposite of polyaniline-chloride and chitosan (PAn-Cl/CHI) for electro-responsive PC-12 neural progenitor cells is reported. The conductivity of the scaffold was controlled by the weight percentage of PAn-Cl. The nanocomposites were non-cytotoxic and supported the growth and proliferation of PC-12 cells in the absence of any extracellular matrix protein. Such growth, however, was dependent on both composition and conductivity of the scaffold as there was a range of PAn-Cl nanofiber composition that produced the highest cell viability. In the presence of NGF to induce differentiation, the importance of bioactive cell adhesion site became evident as differentiation was highly restricted on the nanocomposite in the absence of a laminin coating. Moreover, the availability of passive electrical cues (i.e. presence of PAn-Cl), favorably enhanced PC-12 neurite outgrowth during differentiation. Overall, the results of the study indicated the substantive role of electro-physiological and morphological cues in regulating cellular process.

Original languageEnglish (US)
Title of host publication9th International IEEE EMBS Conference on Neural Engineering, NER 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages4
ISBN (Electronic)9781538679210
StatePublished - May 16 2019
Event9th International IEEE EMBS Conference on Neural Engineering, NER 2019 - San Francisco, United States
Duration: Mar 20 2019Mar 23 2019

Publication series

NameInternational IEEE/EMBS Conference on Neural Engineering, NER
ISSN (Print)1948-3546
ISSN (Electronic)1948-3554


Other9th International IEEE EMBS Conference on Neural Engineering, NER 2019
Country/TerritoryUnited States
CitySan Francisco

ASJC Scopus subject areas

  • Artificial Intelligence
  • Mechanical Engineering


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