Development of biodegradable electrospun gelatin/aloe-vera/poly(ε‑caprolactone) hybrid nanofibrous scaffold for application as skin substitutes

Baghersad, Somayeh; Bahrami, S. Hajir; Ranjbar‐Mohammadi, Marziyeh; Mojtahedi, Mohammad Reza Mohaddes; Milan, Peiman Brouki

doi:10.1016/j.msec.2018.08.020

Cited by 117 publications

(57 citation statements)

References 41 publications

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“…Furthermore, the viscosity of polymer solution decrease with an increase in the PCL content of the polymer solution blend. Accordingly, thinner fiber formed due to that the jet could be stretched by electrostatic forces easily 46,47 . Considering trends in Fig.…”

Section: Discussionmentioning

confidence: 99%

MLR and ANN Approaches for Prediction of Synthetic/Natural Nanofibers Diameter in the Environmental and Medical Applications

Kalantary

Jahani

2020

Sci Rep

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Fiber diameter plays an important role in the properties of electrospinning of nanofibers. However, one major problem is the lack of a comprehensive method that can link processing parameters to nanofibers' diameter. The objective of this study is to develope an artificial neural network (ANN) modeling and multiple regression (MLR) analysis approaches to predict the diameter of nanofibers. Processing parameters, including weight ratio, voltage, injection rate, and distance, were considered as independent variables and the nanofiber diameter as the dependent variable of the ANN model. The results of ANN modeling, especially its high accuracy (R 2 = 0.959) in comparison with MLR results (R 2 = 0.564), introduced the prediction the diameter of nanofibers model (PDNFM) as a comparative model for predicting the diameter of poly (3-caprolactone) (PCL)/gelatin (Gt) nanofibers. According to the result of sensitivity analysis of the model, the values of weight ratio, distance, injection rate, and voltage, respectively, were identified as the most significant parameters which influence PDNFM.

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Section: Discussionmentioning

confidence: 99%

MLR and ANN Approaches for Prediction of Synthetic/Natural Nanofibers Diameter in the Environmental and Medical Applications

Kalantary

Jahani

2020

Sci Rep

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“…20 These results were reported in recent studies. [56][57][58] Fig. 10c shows the effect of applied voltage on the diameter of the nanobers.…”

Section: Sensitivity Analysis Of Pdnfm Mlpmentioning

confidence: 99%

“…62,63 This result could be explained by the fact that an increase in injection rate leads to an increase of the amount of polymer solution delivered to the top of the needle making the jet diameter increase. 57,58,62 Therefore there is a limitation to this, aer reaching an optimum value, the diameter of the nanobers continuously decrease with an increase in the injection rate. Some studies show that the injection rate increase leads to a decrease in the diameter of the nanobers.…”

Section: Sensitivity Analysis Of Pdnfm Mlpmentioning

confidence: 99%

Application of ANN modeling techniques in the prediction of the diameter of PCL/gelatin nanofibers in environmental and medical studies

Kalantary

Jahani²,

Pourbabaki

et al. 2019

RSC Adv.

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Prediction of the diameter of a nanofiber is very difficult, owing to complexity of the interactions of the parameters which have an impact on the diameter and the fact that there is no comprehensive method to predict the diameter of a nanofiber. Therefore, the aim of this study was to compare the multi-layer perceptron (MLP), radial basis function (RBF), and support vector machine (SVM) models to develop mathematical models for the diameter prediction of poly(3-caprolactone) (PCL)/gelatin (Gt) nanofibers.Four parameters, namely, the weight ratio, applied voltage, injection rate, and distance, were considered as input data. Then, a prediction of the diameter for the nanofiber model (PDNFM) was developed using data mining techniques such as MLP, RBFNN, and SVM. The PDNFM MLP is introduced as the most accurate model to predict the diameter of PCL/Gt nanofibers on the basis of costs and time-saving.According to the results of the sensitivity analysis, the value of the PCL/Gt weight ratio is the most significant input which influences PDNFM MLP in PCL/Gt electrospinning. Therefore, the PDNFM model, using a decision support system (DSS) tool can easily predict the diameter of PCL/Gt nanofibers prior to electrospinning.

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“…In addition, Aloe Vera inner gel extract was recently incorporated in different polymer matrices by electrospinning technique for several applications, mainly related to wound healing and skin tissue engineering, due to its intrinsic healing properties. In this sense, poly(vinyl alcohol) (PVA) [61], poly(ε-caprolactone) (PCL) [62][63][64], poly(vinylpyrrolidone) (PVP) [65], poly(lactic-co-glycolide acid) (PLGA) [66] and chitosan/PEO-based nanofibrous materials [67] including Aloe Vera gel with interesting functionalities (i.e., antioxidant, antimicrobial, enhanced mechanical properties) have been proposed for wound dressing applications. In relation to food packaging applications, Aloe Vera leaf juice was directly used as water-based solvent for PVP and PVA nanofibers production by electrospinning techniques [68].…”

Section: Introductionmentioning

confidence: 99%

Encapsulation of Bioactive Compounds from Aloe Vera Agrowastes in Electrospun Poly (Ethylene Oxide) Nanofibers

et al. 2020

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Aloe Vera is an ancient medicinal plant especially known for its beneficial properties for human health, due to its bioactive compounds. In this study, nanofibers with antioxidant activity were successfully obtained by electrospinning technique with the addition of a natural Aloe Vera skin extract (AVE) (at 0, 5, 10 and 20 wt% loadings) in poly(ethylene oxide) (PEO) solutions. The successful incorporation of AVE into PEO was evidenced by scanning electron microscopy (SEM), Fourier transform infrared spectroscopy (ATR-FTIR), thermogravimetric analysis (TGA) and antioxidant activity by 2,2-diphenyl-1-picrylhydrazyl radical scavenging (DPPH), 2,2′-azinobis-(3-ethylbenzothiazoline-6-sulfonic acid) radical scavenging (ABTS) and ferric reducing power (FRAP) assays. The incorporation of AVE introduced some changes in the PEO/AVE nanofibers morphology showing bimodal diameter distributions for AVE contents in the range 10-20 wt%. Some decrease in thermal stability with AVE addition, in terms of decomposition onset temperature, was also observed and it was more evident at high loading AVE contents (10 and 20 wt%). High encapsulation efficiencies of 92%, 76% and 105% according to DPPH, FRAP and ABTS assays, respectively, were obtained at 5 wt% AVE content, retaining AVE its antioxidant capacity in the PEO/AVE electrospun nanofibers. The results suggested that the obtained nanofibers could be promising materials for their application in active food packaging to decrease oxidation of packaged food during storage.

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Development of biodegradable electrospun gelatin/aloe-vera/poly(ε‑caprolactone) hybrid nanofibrous scaffold for application as skin substitutes

Cited by 117 publications

References 41 publications

MLR and ANN Approaches for Prediction of Synthetic/Natural Nanofibers Diameter in the Environmental and Medical Applications

MLR and ANN Approaches for Prediction of Synthetic/Natural Nanofibers Diameter in the Environmental and Medical Applications

Application of ANN modeling techniques in the prediction of the diameter of PCL/gelatin nanofibers in environmental and medical studies

Encapsulation of Bioactive Compounds from Aloe Vera Agrowastes in Electrospun Poly (Ethylene Oxide) Nanofibers

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