2024
DOI: 10.3390/bioengineering11010068
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Perfusable Tissue Bioprinted into a 3D-Printed Tailored Bioreactor System

Marius Gensler,
Christoph Malkmus,
Philipp Ockermann
et al.

Abstract: Bioprinting provides a powerful tool for regenerative medicine, as it allows tissue construction with a patient’s specific geometry. However, tissue culture and maturation, commonly supported by dynamic bioreactors, are needed. We designed a workflow that creates an implant-specific bioreactor system, which is easily producible and customizable and supports cell cultivation and tissue maturation. First, a bioreactor was designed and different tissue geometries were simulated regarding shear stress and nutrient… Show more

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“…7 µm, and density: 1140 kg(m 3 ) Prediction of fluid shear stress on Voronoi scaffold surface, MSCs attachment on the scaffold and mechano-regulation osteoblast differentiation (MrOD) 1050 kg/m 3 , minimum and maximum dynamic viscosities: 0.001 and 0.708 kg/m/s, consistency index: 0.017 kg.s n−2 /m, power law exponent: 0.708) Prediction of transport properties inside open cell Neovius TPMS scaffolds for BTE [163] Carreau-Yasuda non-Newtonian flow model and DPM Pressure drops, specific surface area, and cell seeding efficiency Blood (Density: 1050 kg/m 3 , inlet velocity: 0.1 mm/s, lower and upper viscosities: 0.25 and 0.0035 Pa.s) MSCs (density: 1130 kg/m 3 , diameter: 10 µm and initial cell number: 3600) Influence of pore size of TPMS scaffolds on cell seeding [164] FEM-based CFD model with Brinkmann equation for shear stress in scaffold medium Flow velocity and shear stress Culture medium (Inlet flow rate: 2 mL/min) Development of CFD models for evaluation of perfusion bioreactor systems to predict flow parameters of β-Tricalcium phosphate scaffolds in BTE : 1.5 g/min), Glucose in tissues (Diffusion coefficient: 6 × 10-10 m 2 /s, elimination rate: −1.157 + 10 −4 mol/(m 3 .s))Prediction of shear stress and nutrient distribution into tissues in a perfusion bioreactor[166] …”
mentioning
confidence: 99%
“…7 µm, and density: 1140 kg(m 3 ) Prediction of fluid shear stress on Voronoi scaffold surface, MSCs attachment on the scaffold and mechano-regulation osteoblast differentiation (MrOD) 1050 kg/m 3 , minimum and maximum dynamic viscosities: 0.001 and 0.708 kg/m/s, consistency index: 0.017 kg.s n−2 /m, power law exponent: 0.708) Prediction of transport properties inside open cell Neovius TPMS scaffolds for BTE [163] Carreau-Yasuda non-Newtonian flow model and DPM Pressure drops, specific surface area, and cell seeding efficiency Blood (Density: 1050 kg/m 3 , inlet velocity: 0.1 mm/s, lower and upper viscosities: 0.25 and 0.0035 Pa.s) MSCs (density: 1130 kg/m 3 , diameter: 10 µm and initial cell number: 3600) Influence of pore size of TPMS scaffolds on cell seeding [164] FEM-based CFD model with Brinkmann equation for shear stress in scaffold medium Flow velocity and shear stress Culture medium (Inlet flow rate: 2 mL/min) Development of CFD models for evaluation of perfusion bioreactor systems to predict flow parameters of β-Tricalcium phosphate scaffolds in BTE : 1.5 g/min), Glucose in tissues (Diffusion coefficient: 6 × 10-10 m 2 /s, elimination rate: −1.157 + 10 −4 mol/(m 3 .s))Prediction of shear stress and nutrient distribution into tissues in a perfusion bioreactor[166] …”
mentioning
confidence: 99%