2D and 3D PVA electrospun scaffold evaluation for ligament implant replacement: A mechanical testing, modelling and experimental biomechanics approach

Roldán, Elisa; Reeves, Neil D.; Cooper, Glen; Andrews, Kirstie

doi:10.1016/j.mtla.2024.102042

Materialia

2024

DOI: 10.1016/j.mtla.2024.102042

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2D and 3D PVA electrospun scaffold evaluation for ligament implant replacement: A mechanical testing, modelling and experimental biomechanics approach

Elisa Roldán,

Neil D. Reeves,

Glen Cooper

et al.

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2024

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Cited by 3 publications

References 38 publications

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Machine learning to mechanically assess 2D and 3D biomimetic electrospun scaffolds for tissue engineering applications: Between the predictability and the interpretability

Roldán,

Reeves,

Cooper

et al. 2024

Journal of the Mechanical Behavior of Biomedical Materials

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Machine learning to mechanically assess 2D and 3D biomimetic electrospun scaffolds for tissue engineering applications: Between the predictability and the interpretability

Roldán,

Reeves,

Cooper

et al. 2024

Journal of the Mechanical Behavior of Biomedical Materials

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Tailoring the Morphological Properties of PVA Nanofibrous Mats by Manipulating Working Planes

Hale Aygün

2024

Journal of Nanotechnology

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Despite the process, solution, and ambient parameters of the electrospinning technique have been intensely studied, the effects of different setup orientations have not been thoroughly investigated. In many research studies, the attempts on electrospinning of polyvinyl alcohol have been performed with a horizontal electrospinning or researchers have not even mentioned the setup orientation. This paper examines the morphological properties of polyvinyl alcohol‐based fibrous mats electrospun with the same apparatus and identical process and solution parameters but with different working planes, namely, (x)‐axis, (+y) axis, and (−y) axis. From the test results, it is concluded that the (−y) axis is the most versatile working plane because fibrous mats have the finest nanofiber diameters with the lowest diameter variation, the medium‐level pore area with the smallest pore sizes. Besides, the highest packing density and highly deposited structure with the longest fibers with a high aspect ratio are constructed in this setup orientation. (−y) axis electrospinning is more favorable than that of other working planes for polyvinyl alcohol‐based permeable membranes and biostructures.

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Computational Modelling and Simulation of Scaffolds for Bone Tissue Engineering

N. Musthafa,

Walker,

Domagala

2024

Computation

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Three-dimensional porous scaffolds are substitutes for traditional bone grafts in bone tissue engineering (BTE) applications to restore and treat bone injuries and defects. The use of computational modelling is gaining momentum to predict the parameters involved in tissue healing and cell seeding procedures in perfusion bioreactors to reach the final goal of optimal bone tissue growth. Computational modelling based on finite element method (FEM) and computational fluid dynamics (CFD) are two standard methodologies utilised to investigate the equivalent mechanical properties of tissue scaffolds, as well as the flow characteristics inside the scaffolds, respectively. The success of a computational modelling simulation hinges on the selection of a relevant mathematical model with proper initial and boundary conditions. This review paper aims to provide insights to researchers regarding the selection of appropriate finite element (FE) models for different materials and CFD models for different flow regimes inside perfusion bioreactors. Thus, these FEM/CFD computational models may help to create efficient designs of scaffolds by predicting their structural properties and their haemodynamic responses prior to in vitro and in vivo tissue engineering (TE) applications.

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2D and 3D PVA electrospun scaffold evaluation for ligament implant replacement: A mechanical testing, modelling and experimental biomechanics approach

Cited by 3 publications

References 38 publications

Machine learning to mechanically assess 2D and 3D biomimetic electrospun scaffolds for tissue engineering applications: Between the predictability and the interpretability

Machine learning to mechanically assess 2D and 3D biomimetic electrospun scaffolds for tissue engineering applications: Between the predictability and the interpretability

Tailoring the Morphological Properties of PVA Nanofibrous Mats by Manipulating Working Planes

Computational Modelling and Simulation of Scaffolds for Bone Tissue Engineering

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