Journal
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
Volume 113, Issue 1, Pages 92-100Publisher
ELSEVIER IRELAND LTD
DOI: 10.1016/j.cmpb.2013.09.003
Keywords
Core-shell nanofibers; Release profile; Pappas equation; Artificial neural network
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Funding
- University of Cologne
- BMBF initiative
- Amirkabir University of Technology
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Release profile of drug constituent encapsulated in electrospun core-shell nanofibrous mats was modeled by Peppas equation and artificial neural network. Core-shell fibers were fabricated by co-axial electrospinning process using tetracycline hydrochloride (TCH) as the core and poly(L-lactide-co-glycolide) (PLGA) or polycaprolactone (PCL) as the shell materials. The density and hydrophilicity of the shell polymers, feed rates and concentrations of core and shell phases, the contribution of TCH in core material and electrical field were the parameters fed to the perceptron network to predict Peppas constants in order to derive release pattern. This study demonstrated the viability of the prediction tool in determining drug release profile of electrospun core-shell nanofibrous scaffolds. (C) 2013 Elsevier Ireland Ltd. All rights reserved.
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