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  3. Vol. 3 No. 3 (2016): Summer
  4. Original / Research Article

Vol. 3 No. 3 (2016)

December 2016

Electrospun Poly Caprolactone-Carbon Nanotube Scaffold for Nerve Regeneration in Dental Tissue Engineering

  • Mohammad Ali Ketabi
  • Maryam Shanavazi
  • Reza Fekrazad
  • Farbod Tondnevis
  • Hamid Keshvari
  • Majid Raz
  • Ali Sadeghi
  • Kourosh Bajelani
  • Mohsen shahrousvand
  • Ali Reza Zalli
  • Gholamreza Mohseni
  • Mohammad Mahdi Abolhasani

International Clinical Neuroscience Journal, Vol. 3 No. 3 (2016), 7 December 2016 , Page 144-149
https://doi.org/10.22037/icnj.v3i3.14420 Published: 2016-12-07

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Abstract

Regeneration and engineering of functional new tissues containing the neural network have great importance. Progression of neural network into the dental tissue has a crucial role in dental tissue regeneration. In the present study polymer-ceramic blended scaffolds containing different weight percentages of carbon nanotube in poly caprolactone nanofiber matrix were fabricated. Morphological, mechanical and electrical properties of the prepared scaffolds have been characterized. Results showed that the sample containing 5 weight % of carbon nanotube had the smallest mean fiber diameter (50 - 300 nm) and the highest mechanical behavior. Also, its electrical conductivity was suitable to be used in nerve tissue scaffolds. The static culture of the Schwann cells on the prepared scaffolds indicated that increasing weight percentage of carbon nanotube into the polycaprolactone matrix up to the 5 wt. % enhanced cell viability.

Keywords:
  • Nerve Tissue Engineering
  • Carbon Nano Tube
  • Polycaprolactone
  • Nano Fiber
  • Schwann Cells
  • Characterization
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How to Cite

1.
Ketabi MA, Shanavazi M, Fekrazad R, Tondnevis F, Keshvari H, Raz M, Sadeghi A, Bajelani K, shahrousvand M, Zalli AR, Mohseni G, Abolhasani MM. Electrospun Poly Caprolactone-Carbon Nanotube Scaffold for Nerve Regeneration in Dental Tissue Engineering. Int Clin Neurosci J [Internet]. 2016 Dec. 7 [cited 2025 May 12];3(3):144-9. Available from: https://journals.sbmu.ac.ir/neuroscience/article/view/14420
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