Affiliation:
1. Universidad Politécnica de Juventino Rosas
2. Universidad Tecnológica de Tamaulipas Norte
Abstract
Chronic kidney disease is generally complicated by poor care or by ignoring it. Among the causes that influence these conditions are obesity, diabetes, smoking, or genetic inheritance. Coordinated efforts are currently being made in multiple countries to control a strong case rate. The clinical techniques of treatment rely on the efficiency of blood purification (function that´s done by kidneys in organisms). Therefore, there is great interest in the development of devices that accomplish this function. Hemofiltration through porous membranes is an efficient process, but the flow conditions in a microchannel system can be complex. Analysis of blood flow in a parameterized conduit arrangement shows streams with desired trajectories, others are held back (stagnant), and others return to the stream from which it´s separated. In addition, the friction conditions and the reduction of the area drastically reduce the movement of the fluid, promoting clogging and consequently the inhibition of filtering. Based on these simulation results, it was proposed that the membrane coupling system could be modified to eliminate extensive flow in conduits generating a new concept of separation through a threshold.
Reference20 articles.
1. Chandra, A., Pathiwada, D., & Chattopadhyay, S. (2019). COMSOL simulation and experimental validation of promoter geometries facilitating citric acid transport in electrodialysis. Chemical Engineering Research and Design, 142-386.
2. COMSOL, I. (2020). COMSOL. Retrieved from www.comsol.com/
3. COMSOL, I. (2020). COMSOL Video Gallery. Retrieved from www.comsol.com/video/modeling-biosensor-transport-and-reactions-in-comsol-multiphysics
4. De Napoli, I., Zanetti, E. M., Fragomeni, G., Giuzio, E., Audenino, A. L., & Catapano, G. (2014). Transport modeling of convection-enhanced hollow fiber membrane bioreactors for therapeutic applications. Journal of Membrane Science,(471), 347-361. https://doi.org/10.1016/j.memsci.2014.08.026.
5. Eloot, S. (2004). Experimental and Numerical Modeling of Dialysis. Ghent, Belgium: Ghent University .