Electrospun poly(ɛ-caprolactone)/gelatin nanofibrous scaffolds for nerve tissue engineering

Ghasemi‐Mobarakeh, Laleh; Prabhakaran, Molamma P.; Morshed, Mohammad; Nasr-Esfahani, Mohammad Hossein; Ramakrishna, Seeram

doi:10.1016/j.biomaterials.2008.08.007

Cited by 1,072 publications

(793 citation statements)

References 40 publications

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“…The tensile moduli for the PCL/keratin (100/0 to 73/30) nanofiber membrane was found to be in the range of 10-5 MPa, respectively, where as breaking strengths were 3-1 MPa (Table II). These mechanical property data are comparable to those of previously developed PCL-natural polymerbased composite nanofibers for various tissue engineering applications such as PCL/chitosan, 30 PCL/gelatin, 31 and PCL/collagen. 32 Cellular activity and AB assay To evaluate the cellular compatibility of the PCL/keratin nanofibers, cell adhesion and spreading, as well as cell interactions with the nanofibrous membrane, were studied by SEM.…”

Section: Mechanical Testingsupporting

confidence: 81%

Poly(ε-caprolactone)/keratin-based composite nanofibers for biomedical applications

Edwards

Jarvis

Hopkins

et al. 2014

J. Biomed. Mater. Res.

111

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Keratin-based composite nanofibers have been fabricated by an electrospinning technique. Aqueous soluble keratin extracted from human hair was successfully blended with poly(e-caprolactone) (PCL) in different ratios and transformed into nanofibrous membranes. Toward the potential use of this nanofibrous membrane in tissue engineering, its physicochemical properties, such as morphology, mechanical strength, crystallinity, chemical structure, and integrity in aqueous medium were studied and its cellular compatibility was determined. Nanofibrous membranes with PCL/keratin ratios from 100/00 to 70/30 showed good uniformity in fiber morphology and suitable mechanical properties, and retained the integrity of their fibrous structure in buffered solutions.Experimental results, using cell viability assays and scanning electron microscopy imaging, showed that the nanofibrous membranes supported 3T3 cell viability. The ability to produce blended nanofibers from protein and synthetic polymers represents a significant advancement in development of composite materials with structural and material properties that will support biomedical applications. This provides new nanofibrous materials for applications in tissue engineering and regenerative medicine.

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Section: Mechanical Testingsupporting

confidence: 81%

Poly(ε-caprolactone)/keratin-based composite nanofibers for biomedical applications

Edwards

Jarvis

Hopkins

et al. 2014

J. Biomed. Mater. Res.

111

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“…The challenge to achieve the abovementioned properties in existent scaffolds, has made bone tissue engineering a very popular research field in the last decade in regards to the material selections and production techniques [13,17]. Although, porosity is necessary for scaffolds, it considerably reduces the scaffold's strength which is vital, in particular, for large bone defects [18,19]. The trade-off between the mechanical strength and the porosity is one of the main challenges in designing tissue engineered bone scaffolds [6].…”

Section: Accepted M Manuscriptmentioning

confidence: 99%

Porous magnesium-based scaffolds for tissue engineering

Yazdimamaghani

Razavi

Vashaee

et al. 2017

Materials Science and Engineering: C

235

115

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“…Specific applications include tissue scaffolds [3][4][5][6][7][8][9][10][11], membranes for fuel cells [12], separation layers for batteries [13], air and water filtration [14,15], reinforcement for nano-composites [2,[16][17][18], piezoelectric fibres for energy harvesting and sensors [19][20][21] and conductive layers in solar cells and electronics [17,21,22]. Electrospinning compares favourably with other methods of nano-fibre manufacture such as drawing, template synthesis, phase separation and self-assembly due to its relative simplicity and low cost [23][24][25][26].…”

Section: Introductionmentioning

confidence: 99%

Electrospinning predictions using artificial neural networks

Brooks

Tucker

2015

Polymer

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Abstract:Electrospinning is a relatively simple method of producing nanofibres. Currently there is no method to predict the characteristics of electrospun fibres for a wide range of polymer/solvent combinations and concentrations without first measuring a number of solution properties. This paper shows how artificial neural networks can be trained to make electrospinning predictions using only commonly available prior knowledge of the polymer and solvent. Firstly, a probabilistic neural network was trained to predict the classification of three possibilities; no fibres (electrospraying), beaded fibres and smooth fibres with over 80% correct predictions. Secondly, a generalised neural network was trained to predict fibre diameter with an average absolute percentage error of 22.3% for the validation data. These predictive tools can be used to reduce the parameter space prior to scoping exercises. Graphical Abstract:Predicted versus measured electrospun-fibre diameter from an artificial neural network trained using data from 13 different polymer/solvent combinations from over 20 independent studies.

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Electrospun poly(ɛ-caprolactone)/gelatin nanofibrous scaffolds for nerve tissue engineering

Cited by 1,072 publications

References 40 publications

Poly(ε-caprolactone)/keratin-based composite nanofibers for biomedical applications

Poly(ε-caprolactone)/keratin-based composite nanofibers for biomedical applications

Porous magnesium-based scaffolds for tissue engineering

Electrospinning predictions using artificial neural networks

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