10.1007/s40204-016-0046-6

Electrospun silk-based nanofibrous scaffolds: fiber diameter and oxygen transfer

HTML PDF
  • Masoud Dadras Chomachayi1,
  • Atefeh Solouk2,
  • Hamid Mirzadeh*1,
  1. Polymer Engineering and Color Technology Faculty, Amirkabir University of Technology (Tehran Polytechnic), Tehran, IR
  2. Biomedical Engineering Faculty, Amirkabir University of Technology (Tehran Polytechnic), Tehran, IR
Cover Image

Published in Issue 2016-02-09

How to Cite

Chomachayi, M. D., Solouk, A., & Mirzadeh, H. (2016). Electrospun silk-based nanofibrous scaffolds: fiber diameter and oxygen transfer. Progress in Biomaterials, 5(1 (March 2016). https://doi.org/10.1007/s40204-016-0046-6
Crossref
Scopus
Google Scholar
Europe PMC

Abstract

Abstract In this study, silk fibroin was extracted from cocoons of silkworms and fabricated into nonwoven mats by electrospinning method. A new model based on the group method of data handling (GMDH) and artificial neural network (ANN) was developed for estimation of the average diameter of electrospun silk fibroin nanofibers. In this regard, concentration, flow rate, voltage, distance, and speed of collector were used as input parameters and average diameter of the fibers was considered as output parameter. Two models were capable to estimate average diameter of fibers with good accuracy. The average absolute relative deviation for GMDH and ANN models was equal to 3.56 and 2.28 %, respectively. Furthermore, due to importance of oxygen delivery to site of injury to promote wound healing, continuity equation for mass transport was employed for prediction of oxygen profile in the system containing wound dressing and skin. The result showed that our prepared wound dressing is capable to pass the oxygen completely to the skin layer and is not acting as a barrier for oxygen delivery to wound site. Since average nanofibers diameter can influence the mat physical, mechanical and biological properties then this model may serve as a useful guide to obtain tailor made and uniform silk nanofibers at various combinations of process variables.

Keywords

  • Wound dressing,
  • Silk fibroin,
  • Electrospinning,
  • GMDH,
  • ANN,
  • Oxygen profile
HTML PDF

References

  1. Atashrouz et al. (2013) Correlation of vapor–liquid equilibria for commonly used binary systems in supercritical fluid extraction processes (pp. 1-8) https://doi.org/10.12777/ijse.5.2.1-8
  2. Atashrouz et al. (2014) Modeling of surface tension for ionic liquids using group method of data handling (pp. 1595-1603) https://doi.org/10.1007/s11581-014-1347-1
  3. Atashrouz et al. (2014) Estimation of the viscosity of nine nanofluids using a hybrid GMDH-type neural network system (pp. 43-48) https://doi.org/10.1016/j.fluid.2014.03.031
  4. Atashrouz et al. (2015) Modeling the thermal conductivity of ionic liquids and ionanofluids based on group method of data handling and modified Maxwell model (pp. 8600-8610) https://doi.org/10.1021/acs.iecr.5b00932
  5. Atashrouz et al. (2015) A GMDH-type neural network for prediction of water activity in glycol and Poly (ethylene glycol) solutions (pp. 95-100) https://doi.org/10.1016/j.molliq.2014.12.013
  6. Browne (1997) CRC Press
  7. Chirila et al. (2013) Evaluation of silk sericin as a biomaterial: in vitro growth of human corneal limbal epithelial cells on Bombyx mori sericin membranes https://doi.org/10.1186/2194-0517-2-14
  8. Dodangeh et al. (2014) Surface alteration of polyamide fibers by polyamidoamine dendrimers and optimization of treatment process using neural network towards improving their dyeing properties (pp. 30-38) https://doi.org/10.1016/j.dyepig.2014.05.025
  9. Hromadka et al. (2008) Nanofiber applications for burn care (pp. 695-703) https://doi.org/10.1097/BCR.0b013e31818480c9
  10. Jin et al. (2005) Water-stable silk films with reduced β-sheet content (pp. 1241-1247) https://doi.org/10.1002/adfm.200400405
  11. Kim et al. (2003) Silk fibroin nanofiber. Electrospinning, properties, and structure (pp. 185-190) https://doi.org/10.1295/polymj.35.185
  12. Kim et al. (2005) Processing windows for forming silk fibroin biomaterials into a 3D porous matrix (pp. 716-720) https://doi.org/10.1071/CH05170
  13. Lee et al. (2013) Microscale diffusion measurements and simulation of a scaffold with a permeable strut (pp. 20157-20170) https://doi.org/10.3390/ijms141020157
  14. Malallah and Nashawi (2005) Estimating the fracture gradient coefficient using neural networks for a field in the Middle East (pp. 193-211) https://doi.org/10.1016/j.petrol.2005.05.006
  15. Megelski et al. (2002) Micro-and nanostructured surface morphology on electrospun polymer fibers (pp. 8456-8466) https://doi.org/10.1021/ma020444a
  16. Min et al. (2004) Electrospinning of silk fibroin nanofibers and its effect on the adhesion and spreading of normal human keratinocytes and fibroblasts in vitro (pp. 1289-1297) https://doi.org/10.1016/j.biomaterials.2003.08.045
  17. Mirahmadi et al. (2013) Enhanced mechanical properties of thermosensitive chitosan hydrogel by silk fibers for cartilage tissue engineering (pp. 4786-4794) https://doi.org/10.1016/j.msec.2013.07.043
  18. Nasouri et al. (2012) Modeling and optimization of electrospun PAN nanofiber diameter using response surface methodology and artificial neural networks (pp. 127-135) https://doi.org/10.1002/app.36726
  19. Rousseau et al. (2004) Study of protein conformation and orientation in silkworm and spider silk fibers using Raman microspectroscopy (pp. 2247-2257) https://doi.org/10.1021/bm049717v
  20. Sukigara et al. (2004) Regeneration of Bombyx mori silk by electrospinning. Part 2. Process optimization and empirical modeling using response surface methodology (pp. 3701-3708) https://doi.org/10.1016/j.polymer.2004.03.059
  21. Uttayarat et al. (2012) Antimicrobial electrospun silk fibroin mats with silver nanoparticles for wound dressing application (pp. 999-1006) https://doi.org/10.1007/s12221-012-0999-6
  22. Valenzuela et al. (2012) Bionanocomposites based on hydroxyapatite and bioactive glass nanoparticles (pp. 1387-1396)
  23. Von Heimburg et al. (2005) Oxygen consumption in undifferentiated versus differentiated adipogenic mesenchymal precursor cells (pp. 107-116) https://doi.org/10.1016/j.resp.2004.12.013
  24. Wang et al. (2004) Mechanical properties of electrospun silk fibers (pp. 6856-6864) https://doi.org/10.1021/ma048988v
  25. Wharram et al. (2010) Electrospun silk material systems for wound healing (pp. 246-257) https://doi.org/10.1002/mabi.200900274
  26. Zhang et al. (1998) Forecasting with artificial neural networks: the state of the art (pp. 35-62) https://doi.org/10.1016/S0169-2070(97)00044-7
  27. Zhou et al. (2009) A novel three-dimensional tubular scaffold prepared from silk fibroin by electrospinning (pp. 504-510) https://doi.org/10.1016/j.ijbiomac.2009.09.006