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Multifactorial modeling and optimization of solution and electrospinning parameters to generate superfine polystyrene nanofibers
Nanotechnology Institute, Amirkabir University of Technology, Tehran, Iran.
Textile Engineering Department, AmirKabir University of Technology, Tehran, Iran.
Biomaterials Group, Biomedical Engineering Department, Amirkabir University of Technology, Tehran, Iran.
Linköping University, Department of Physics, Chemistry and Biology, Biosensors and Bioelectronics. Linköping University, Faculty of Science & Engineering.
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2018 (English)In: Advances in Polymer Technology, ISSN 0730-6679, E-ISSN 1098-2329, Vol. 37, no 8, p. 2743-2755Article in journal (Refereed) Published
Abstract [en]

This study was conducted to provide a quantitative understanding of the influence of the different solution and electrospinning variables on the morphology and the mean diameter of electrospun polystyrene nanofibers. In this regard, the effect of different solvents and ionic additives on the electrical conductivity, viscosity, and surface tension of the electrospinning solutions and thereby the morphology of nanofibers were examined. The results indicated that the morphology of the fibers is extremely dependent on the solvent’s properties, especially volatility and electrical conductivity, and the ionic characteristics of additives. Finally, to estimate the optimal electrospinning conditions for production of nanofibers with minimum possible diameter, modeling of the process was undertaken using the response surface methodology. Experimentally, nanofibers with the finest diameter of 169 ï¿œ 21 nm were obtained under the optimized conditions, and these could be considered promising candidates for a wide practical range of applications ranging from biosensors to filtration.

Place, publisher, year, edition, pages
John Wiley & Sons, 2018. Vol. 37, no 8, p. 2743-2755
Keywords [en]
electrospinning process, fibers, ionic additives, modeling, polystyrene
National Category
Physical Sciences
Identifiers
URN: urn:nbn:se:liu:diva-151893DOI: 10.1002/adv.21947ISI: 000457486100004Scopus ID: 2-s2.0-85041921459OAI: oai:DiVA.org:liu-151893DiVA, id: diva2:1254392
Note

Funding agencies: Ministry of Science, Research and Technology of Iran

Available from: 2018-10-09 Created: 2018-10-09 Last updated: 2019-03-08Bibliographically approved

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Uzun, LokmanTurner, AnthonyMak, Wing Cheung

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Biosensors and BioelectronicsFaculty of Science & EngineeringSensor and Actuator Systems
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