Title: Preparation and Optimization of Chitosan/Polyethylene Oxide Nanofiber Diameter Using Artificial Neural Networks
Journal: Neural Computing and Applications
Author: 1. Najmeh Ketabchi, Mahdi Adabi, Seyedeh Sara Esnaashari,
Reza Faridi-Majidi, 2. Majid Naghibzadeh
Year: 2016
Address: 1. Department of Medical Nanotechnology, School of
Advanced Technologies in Medicine, Tehran University of
Medical Sciences (TUMS), Tehran, Iran
2. Department of Nanotechnology, Research and Clinical
Center for Infertility, Shahid Sadoughi University of Medical
Sciences, Yazd, Iran
Abstract: Chitosan/polyethylene oxide (PEO) solution
makes electrospun nanofibers with decreased beads and
diameters in comparison with lonely chitosan (CS). The
aim of this work was to find an artificial neural network
(ANN) model for predicting the chitosan/PEO blend electrospun
nanofiber diameter. Chitosan/PEO concentration
ratio, distance between nozzle tip and collector, applied
voltage, and flow rate were considered as input variables,
and chitosan/PEO blend electrospun nanofiber diameter
was considered as output variable. Scanning electron
microscopy images indicated that electrospun nanofiber
diameter was approximately 50–185 nm. For increasing
validity, k-fold cross validation method was applied to
dataset. The ANN technique was used for training and
testing via fivefold of dataset. The best results of prediction
were obtained via network with three hidden layers
including 10, 15, and 5 nodes in each layer, respectively.
The mean square error (MSE) and correlation coefficient
between the observed and predicted thickness of the
nanofibers in the chosen model were about 0.0707 and
0.9630, respectively, indicating the ANN technique validity
in the prediction procedure. For the analysis of
interactions between the involved electrospinning parameters
and nanofiber diameter, 3D graphs in various levels
were plotted. In conclusion, the results indicated that using
the prediction process via ANN could be relevant in the
decision to produce nanofibers with desired shape and
diameter via electrospinning.
Keywords: Chitosan Polyethylene oxide
Electrospinning, Nanofibers, Modeling, ANN
Application: Optimizing Electrospinning Parameters
Product Model 1: Electroris
Product Model 2:
URL: https://link.springer.com/article/10.1007/s00521-016-2212-0#="https://link.springer.com" & "/article/10.1007/s00521-016-2212-0"#