Modelling and Optimization of Polycaprolactone Ultrafine-Fibres Electrospinning Process Using Response Surface Methodology

Electrospun fibres have gained broad interest in biomedical applications, including tissue engineering scaffolds, due to their potential in mimicking extracellular matrix and producing structures favourable for cell and tissue growth. The development of scaffolds often involves multivariate producti...

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Bibliographic Details
Published in:Materials 2018-03, Vol.11 (3), p.441
Main Authors: Anindyajati, Adhi, Boughton, Philip, Ruys, Andrew J
Format: Article
Language:English
Subjects:
Biomedical engineering
Biomedical materials
Cell growth
Cellulose acetate
Collagen
Design of experiments
Design optimization
Electrospinning
Extracellular matrix
Flow velocity
Humidity
Hydrogels
Mathematical models
Mechanical properties
Medical equipment
Medical research
Methods
Modulus of elasticity
Morphology
Nanoparticles
Optimization
Optimization techniques
Parameters
Polycaprolactone
Polymers
Product development
Quality
Response surface methodology
Rotation
Scaffolds
Studies
Tissue engineering
Ultrafines
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Summary:Electrospun fibres have gained broad interest in biomedical applications, including tissue engineering scaffolds, due to their potential in mimicking extracellular matrix and producing structures favourable for cell and tissue growth. The development of scaffolds often involves multivariate production parameters and multiple output characteristics to define product quality. In this study on electrospinning of polycaprolactone (PCL), response surface methodology (RSM) was applied to investigate the determining parameters and find optimal settings to achieve the desired properties of fibrous scaffold for acetabular labrum implant. The results showed that solution concentration influenced fibre diameter, while elastic modulus was determined by solution concentration, flow rate, temperature, collector rotation speed, and interaction between concentration and temperature. Relationships between these variables and outputs were modelled, followed by an optimization procedure. Using the optimized setting (solution concentration of 10% / , flow rate of 4.5 mL/h, temperature of 45 °C, and collector rotation speed of 1500 RPM), a target elastic modulus of 25 MPa could be achieved at a minimum possible fibre diameter (1.39 ± 0.20 µm). This work demonstrated that multivariate factors of production parameters and multiple responses can be investigated, modelled, and optimized using RSM.
ISSN:1996-1944
1996-1944
DOI:10.3390/ma11030441