Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Anindyajati, Adhi, Boughton, Philip, Ruys, Andrew J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5873020/
https://www.ncbi.nlm.nih.gov/pubmed/29562614
http://dx.doi.org/10.3390/ma11030441
_version_ 1783309960694726656
author Anindyajati, Adhi
Boughton, Philip
Ruys, Andrew J.
author_facet Anindyajati, Adhi
Boughton, Philip
Ruys, Andrew J.
author_sort Anindyajati, Adhi
collection PubMed
description 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% w/v, 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.
format Online
Article
Text
id pubmed-5873020
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-58730202018-03-30 Modelling and Optimization of Polycaprolactone Ultrafine-Fibres Electrospinning Process Using Response Surface Methodology Anindyajati, Adhi Boughton, Philip Ruys, Andrew J. Materials (Basel) Article 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% w/v, 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. MDPI 2018-03-17 /pmc/articles/PMC5873020/ /pubmed/29562614 http://dx.doi.org/10.3390/ma11030441 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Anindyajati, Adhi
Boughton, Philip
Ruys, Andrew J.
Modelling and Optimization of Polycaprolactone Ultrafine-Fibres Electrospinning Process Using Response Surface Methodology
title Modelling and Optimization of Polycaprolactone Ultrafine-Fibres Electrospinning Process Using Response Surface Methodology
title_full Modelling and Optimization of Polycaprolactone Ultrafine-Fibres Electrospinning Process Using Response Surface Methodology
title_fullStr Modelling and Optimization of Polycaprolactone Ultrafine-Fibres Electrospinning Process Using Response Surface Methodology
title_full_unstemmed Modelling and Optimization of Polycaprolactone Ultrafine-Fibres Electrospinning Process Using Response Surface Methodology
title_short Modelling and Optimization of Polycaprolactone Ultrafine-Fibres Electrospinning Process Using Response Surface Methodology
title_sort modelling and optimization of polycaprolactone ultrafine-fibres electrospinning process using response surface methodology
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5873020/
https://www.ncbi.nlm.nih.gov/pubmed/29562614
http://dx.doi.org/10.3390/ma11030441
work_keys_str_mv AT anindyajatiadhi modellingandoptimizationofpolycaprolactoneultrafinefibreselectrospinningprocessusingresponsesurfacemethodology
AT boughtonphilip modellingandoptimizationofpolycaprolactoneultrafinefibreselectrospinningprocessusingresponsesurfacemethodology
AT ruysandrewj modellingandoptimizationofpolycaprolactoneultrafinefibreselectrospinningprocessusingresponsesurfacemethodology