TY - JOUR

T1 - Parametric finite element model and mechanical characterisation of electrospun materials for biomedical applications

AU - Polak-Kraśna, Katarzyna

AU - Mazgajczyk, Emilia

AU - Heikkilä, Pirjo

AU - Georgiadis, Anthimos

N1 - Funding Information: Short Term Scientific Mission was funded by European Commission via FP7 COST Action 1206.I would like to acknowledge COST Action 1206 ?Electrospun Nano-fibres for bio inspired composite materials and innovative industrial applications? for allowing me to realize validation part of this work at VTT Technical Research Centre of Finland Ltd.; and VTT for hosting this Short Term Scientific Mission. Publisher Copyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland.

PY - 2021/1/7

Y1 - 2021/1/7

N2 - Electrospun materials, due to their unique properties, have found many applications in the biomedical field. Exploiting their porous nanofibrous structure, they are often used as scaffolds in tissue engineering which closely resemble a native cellular environment. The structural and mechanical properties of the substrates need to be carefully optimised to mimic cues used by the extracellular matrix to guide cells’ behaviour and improve existing scaffolds. Optimisation of these parameters is enabled by using the finite element model of electrospun structures proposed in this study. First, a fully parametric three-dimensional microscopic model of electrospun material with a random fibrous network was developed. Experimental results were obtained by testing electrospun poly(ethylene) oxide materials. Parameters of single fibres were determined by atomic force microscopy nanoindentations and used as input data for the model. The validation was performed by comparing model output data with tensile test results obtained for electrospun mats. We performed extensive analysis of model parameters correlations to understand the crucial factors and enable extrapolation of a simplified model. We found good agreement between the simulation and the experimental data. The proposed model is a potent tool in the optimisation of electrospun structures and scaffolds for enhanced regenerative therapies.

AB - Electrospun materials, due to their unique properties, have found many applications in the biomedical field. Exploiting their porous nanofibrous structure, they are often used as scaffolds in tissue engineering which closely resemble a native cellular environment. The structural and mechanical properties of the substrates need to be carefully optimised to mimic cues used by the extracellular matrix to guide cells’ behaviour and improve existing scaffolds. Optimisation of these parameters is enabled by using the finite element model of electrospun structures proposed in this study. First, a fully parametric three-dimensional microscopic model of electrospun material with a random fibrous network was developed. Experimental results were obtained by testing electrospun poly(ethylene) oxide materials. Parameters of single fibres were determined by atomic force microscopy nanoindentations and used as input data for the model. The validation was performed by comparing model output data with tensile test results obtained for electrospun mats. We performed extensive analysis of model parameters correlations to understand the crucial factors and enable extrapolation of a simplified model. We found good agreement between the simulation and the experimental data. The proposed model is a potent tool in the optimisation of electrospun structures and scaffolds for enhanced regenerative therapies.

KW - Electrospinning

KW - FE

KW - Modelling

KW - Nonwoven

KW - Poly(ethylene oxide) (PEO)

KW - Tensile testing

KW - Engineering

UR - http://www.scopus.com/inward/record.url?scp=85099254790&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/ea3bedd8-5673-3c59-9c86-6f2651b73e87/

U2 - 10.3390/ma14020278

DO - 10.3390/ma14020278

M3 - Journal articles

C2 - 33430450

AN - SCOPUS:85099254790

VL - 14

SP - 1

EP - 15

JO - Materials

JF - Materials

SN - 1996-1944

IS - 2

M1 - 278

ER -