Nozzle pressure analysis of several hydrogel on extrusion-based bioprinting using computational fluid dynamics

Blanco, Juan Carlos Gómez; Sánchez, Enrique Mancha; Martín, Diego Torrejón; Amador, Juan Pablo Carrasco; Margallo, Francisco Miguel Sánchez; Carrasco, J. Blas Pagador

doi:10.17979/spudc.9788497497565.0737

Cited by 3 publications

(1 citation statement)

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“…Thus, some CFD models have been developed to understand cell dynamics in a bioprinting process. For example, Gomez-Blanco et al used a 2D triangular mesh method to simulate the effect of inlet velocity on pressures experienced by cells at nozzle tip 17 and the effect of bioink temperature on velocity in bioprinting. 18 Nair et al developed an analytical formulation, which indicated that dispensing pressure makes a greater influence on viability than nozzle diameter.…”

Section: Introductionmentioning

confidence: 99%

Modelling cell deformations in bioprinting process using a multicompartment-smooth particle hydrodynamics approach

Das

Roychowdhury

Datta

2022

Proc Inst Mech Eng H

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Bioprinting using cell-laden bioink is a rapidly emerging additive manufacturing method to fabricate engineered tissue constructs and in vitro models of disease biology. Amongst different bioprinting modalities, extrusion-based bioprinting is the most conveniently adopted technique due to its affordability. Bioinks consisting of living cells are suspended in hydrogels and extruded through syringe-needle assemblies, which subsequently undergo gelation at the collector plate. During the process, pressure is exerted on living cells which may cause cell deaths. Thus, for selected combination of cell and hydrogel, exerted pressure and the extrusion play key roles in determining the cell viability. Experimental evaluation to characterise stresses experienced by the cells in a bioink during bioprinting is a tedious exercise. Herein, computational modelling can be applied efficiently for rapid screening of bioinks. In the present study, a smoothed particle hydrodynamics model is developed for the analysis of stresses exerted on the cells during bioprinting process. Cells are modelled by assigning different mechanical properties to nucleus, cytoskeleton and cell membrane regions of the cell to get a more realistic understanding of cell deformation. The cytoplasm and nucleus are modelled as finite element meshes and a spring model of the cell membrane is coupled to the finite element model to develop a three-compartment model of the cell. Cell deformation is taken as a potential indicator of cell death. Effect of different process parameters such as flow rate, syringe-nozzle geometry and cell density are investigated. A submodeling approach is further introduced to predict deformation with higher resolution in a unit volume containing 104 to 108 cells. Results suggest that the generated bioink flow dynamic model can be a useful tool for the computational study of fluid flow involving cell suspensions during a bioprinting process.

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Section: Introductionmentioning

confidence: 99%