| Literature DB >> 32325660 |
João Meneses1,2, João C Silva3, Sofia R Fernandes1,2, Abhishek Datta4,5, Frederico Castelo Ferreira3, Carla Moura1, Sandra Amado1, Nuno Alves1, Paula Pascoal-Faria1.
Abstract
The use of digital twins in tissue engineering (TE) applications is of paramount importance to reduce the number of in vitro and in vivo tests. To pursue this aim, a novel multimodal bioreactor is developed, combining 3D design with numerical stimulation. This approach will facilitate the reproducibility between studies and the platforms optimisation (physical and digital) to enhance TE. The new bioreactor was specifically designed to be additive manufactured, which could not be reproduced with conventional techniques. Specifically, the design suggested allows the application of dual stimulation (electrical and mechanical) of a scaffold cell culture. For the selection of the most appropriate material for bioreactor manufacturing several materials were assessed for their cytotoxicity. Numerical modelling methods were then applied to the new bioreactor using one of the most appropriate material (Polyethylene Terephthalate Glycol-modified (PETG)) to find the optimal stimulation input parameters for bone TE based on two reported in vitro studies.Entities:
Keywords: bone tissue engineering; cylindrical perfusion bioreactor; cytotoxicity study; electrical stimulation; finite element analysis; material characterization; multimodal stimulation
Year: 2020 PMID: 32325660 PMCID: PMC7240379 DOI: 10.3390/polym12040940
Source DB: PubMed Journal: Polymers (Basel) ISSN: 2073-4360 Impact factor: 4.329
Figure 1Novel bioreactor design: (a) Vertical cut view of the bioreactor design, where the parallel electrodes set up, the upper and bottom inlets and the inlet flow splitters can be observed. (b) Horizontal cut view of the bioreactor design, where the radial outlet system can be observed. The green regions represent the region-of-interest (ROI) where the scaffold will be placed, represented by a cylinder with 4 mm of height and a diameter of 10 mm. (c) CAD bioreactor design assembled in frontal view, the main outlet hole is visible in the middle. (d) CAD bioreactor design assembled in lateral view, showing both electrode connector wires (in brown).
Description of sample identity (ID) and material, correspondent supplier and AM methodology.
| Sample ID | Material | Supplier | AM Methodology |
|---|---|---|---|
| PCL | Polycaprolactone | FACILAN™ PCL 100, | 3DP Technology: FDM; |
| PA | Polyamide/Nylon | PA Powder, | 3DP Technology: SLS; |
| PETG | Polyethylene | PETG FILAMENT, | 3DP Technology: FDM; |
| ABS | Acrylonitrile- | ABS FILAMENT, | 3DP Technology: FDM; |
| C8 | Proprietary Polymer | FACILAN™ C8 FILAMENT, | 3DP Technology: FDM; |
| PPSU | Polyphenylsulfone | PPSU FILAMENT, | 3DP Technology: FDM; |
| PEEK | Polyether | PEEK FILAMENT, | 3DP Technology: FDM; |
Figure 2Bioreactor geometry volume mesh created using COMSOL Multiphysics, with 1.9 × 106 elements, and an average element quality of 0.65.
Figure 3Cytotoxicity assay with L929 mouse fibroblast according to ISO 10993-5 standards: (a) indirect contact (MTT protocol); (b) direct contact (digital images of the material samples and the negative and positive controls, fresh culture medium and Latex, respectively). A one-way ANOVA with no corrections for multiple comparisons (Fisher’s test) statistical analysis was performed using GraphPad Prism6.
Figure 4Numerical finite element analysis (FEA) analysis of the proposed bioreactor design with a DC electric stimulation parallel plate capacitor set-up with lateral and top slice views. The three top views represent the ROI upper slice (T1), the ROI middle plane slice (T2) and the ROI bottom slice (T3). (a) Electric potential distribution predicted in the bioreactor due to DC stimulation. (b) E-Field magnitude distribution predicted for the same electric DC stimulation conditions.
Figure 5Numerical FEA analysis of the proposed bioreactor design for a laminar perfusion flow with lateral and top slice views. The three top views represent the ROI upper slice (T1), the ROI middle plane slice (T2) and the ROI bottom slice (T3). (a) Pressure distribution predicted considering applied inlets velocity of 0.003 m/s and a outlet pressure of 0 Pa. (b) Fluid velocity distribution predicted for the same inlet/outlet conditions. The velocity distribution at the ROI middle plane slice is presented in more detail in a top view inset at the right of the slice plane.