RESUMO
Perfusion bioreactors have been proved to be an impartible part of vascular tissue engineering due to its broad range of applications as a means to distribute nutrients within porous scaffold along with providing appropriate physical and mechanical stimuli. To better understand the mechanical phenomena inside a bioreactor, computational fluid dynamics (CFD) was adopted followed by a validation technique. The fluid dynamics of the media inside the bioreactor was modeled using the Navier-Stokes equation for incompressible fluids while convection through the scaffold was described by Brinkman's extension of Darcy's law for porous media. Flow within the reactor determined the orientation of endothelial cells on the scaffold. To validate flow patterns, streamlines and shear stresses, colorimetry technique was used following attained results from CFD. Our bioreactor was modeled to simulate the optimum condition and flow patterns over scaffold to culture ECs for in vitro experimentation. In such experiments, cells were attached firmly without significant detachment and more noticeably elongation process was triggered even shortly after start up.
Assuntos
Células Endoteliais/fisiologia , Estresse Mecânico , Engenharia Tecidual/métodos , Alicerces Teciduais , Simulação por Computador , Hidrodinâmica , Modelos Biológicos , PerfusãoRESUMO
Bioreactors are important inevitable part of any tissue engineering (TE) strategy as they aid the construction of three-dimensional functional tissues. Since the ultimate aim of a bioreactor is to create a biological product, the engineering parameters, for example, internal and external mass transfer, fluid velocity, shear stress, electrical current distribution, and so forth, are worth to be thoroughly investigated. The effects of such engineering parameters on biological cultures have been addressed in only a few preceding studies. Furthermore, it would be highly inefficient to determine the optimal engineering parameters by trial and error method. A solution is provided by emerging modeling and computational tools and by analyzing oxygen, carbon dioxide, and nutrient and metabolism waste material transports, which can simulate and predict the experimental results. Discovering the optimal engineering parameters is crucial not only to reduce the cost and time of experiments, but also to enhance efficacy and functionality of the tissue construct. This review intends to provide an inclusive package of the engineering parameters together with their calculation procedure in addition to the modeling techniques in TE bioreactors.