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

Chomachayi MD, Solouk A, Mirzadeh H - Prog Biomater (2016)

Bottom Line: The average absolute relative deviation for GMDH and ANN models was equal to 3.56 and 2.28 %, respectively.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.

View Article: PubMed Central - PubMed

Affiliation: Polymer Engineering and Color Technology Faculty, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran.

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.

No MeSH data available.


Related in: MedlinePlus

Perceptron structure with a hidden layer
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Fig2: Perceptron structure with a hidden layer

Mentions: The Back-Propagation Algorithm is one of Least Mean Square methods, which is normally used in engineering. In a multilayer perceptron, each neuron of a layer is linked to all neurons of the previous layer. Figure 2 shows a perceptron with a hidden layer. Each layer output acts as the input to the next neurons. To train Multilayer Feed Forward Neural Network, Back-Propagation Law is used. In the first stage, all weights and biases are selected according to small random numbers. In the second stage, input vector Xp = x0, x1, …, xn−1 and the target exit Tp = t0, t1, …, tm−1 are given to the network, where the subscripts n and m are the numbers of input and output vector, respectively. In the third stage, the following quantitative values are calculated and transferred to the subsequent layer until it eventually reaches the exit layer.Fig. 2


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

Chomachayi MD, Solouk A, Mirzadeh H - Prog Biomater (2016)

Perceptron structure with a hidden layer
© Copyright Policy - OpenAccess
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4764634&req=5

Fig2: Perceptron structure with a hidden layer
Mentions: The Back-Propagation Algorithm is one of Least Mean Square methods, which is normally used in engineering. In a multilayer perceptron, each neuron of a layer is linked to all neurons of the previous layer. Figure 2 shows a perceptron with a hidden layer. Each layer output acts as the input to the next neurons. To train Multilayer Feed Forward Neural Network, Back-Propagation Law is used. In the first stage, all weights and biases are selected according to small random numbers. In the second stage, input vector Xp = x0, x1, …, xn−1 and the target exit Tp = t0, t1, …, tm−1 are given to the network, where the subscripts n and m are the numbers of input and output vector, respectively. In the third stage, the following quantitative values are calculated and transferred to the subsequent layer until it eventually reaches the exit layer.Fig. 2

Bottom Line: The average absolute relative deviation for GMDH and ANN models was equal to 3.56 and 2.28 %, respectively.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.

View Article: PubMed Central - PubMed

Affiliation: Polymer Engineering and Color Technology Faculty, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran.

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.

No MeSH data available.


Related in: MedlinePlus