A Numerical Study on the Erythrocyte Flow Path in I-Shaped Pillar DLD Arrays
Author:
Wu Jiangbo1ORCID, Lv Yao12, He Yongqing3, Du Xiaoze1ORCID, Liu Jie12, Zhang Wenyu1
Affiliation:
1. School of Energy and Power Engineering, Lanzhou University of Technology, Lanzhou 730050, China 2. Key Laboratory of Complementary Energy System of Biomass and Solar Energy, Lanzhou 730050, China 3. Chongqing Key Laboratory of Micro-Nano System and Intelligent Sensing, Chongqing Technology and Business University, Chongqing 400067, China
Abstract
Erythrocyte enrichment is needed for blood disease diagnosis and research. DLD arrays with an I-shaped pillar (I-pillar) sort erythrocytes in a unique, accurate, and low-reagent method. However, the existing I-shaped pillar DLD arrays for erythrocyte sorting have the drawbacks of higher flow resistance and more challenging fabrication. A two-dimensional erythrocyte simulation model and the arbitrary Lagrangian–Euler equations at the cell–fluid boundary were built based on the fluid–solid coupling method to investigate the influencing factors of the erythrocyte flow path in an I-pillar DLD array and find its optimization method. Three different sizes of I-pillars were built and multiple sets of corresponding arrays were constructed, followed by finite element simulations to separately investigate the effects of these arrays on the induction of erythrocyte motion paths. This work demonstrates the motion paths of erythrocyte models in a series of I-pillar arrays with different design parameters, aiming to summarize the variation modes of erythrocyte motion paths, which in turn provides some reference for designing and optimizing the pillar size and array arrangement methods for I-pillar array DLD chips.
Funder
Key Program of the National Natural Science Foundation of China Double First-Class Key Program of Gansu Provincial Department of Education 2022 Gansu Provincial University Industry Support Plan Project
Subject
Fluid Flow and Transfer Processes,Mechanical Engineering,Condensed Matter Physics
Reference35 articles.
1. Particle method for computer simulation of red blood cell motion in blood flow;Tsubota;Comput. Methods Programs Biomed.,2006 2. Mendez, S., Chnafa, C., Gibaud, E., Sigueenza, J., Moureau, V., and Nicoud, F. (2015, January 16–18). YALES2BIO: A Computational Fluid Dynamics Software Dedicated to the Prediction of Blood Flows in Biomedical Devices. Proceedings of the 5th International Conference on the Development of Biomedical Engineering in Vietnam, Ho Chi Minh City, Vietnam. 3. A review of numerical methods for red blood cell flow simulation;Ju;Comput. Methods Biomech. Biomed. Eng.,2015 4. Bizjak, D.A., John, L., Matits, L., Uhl, A., Schulz, S.V.W., Schellenberg, J., Peifer, J., Bloch, W., Weiss, M., and Gruner, B. (2022). SARS-CoV-2 Altered Hemorheological and Hematological Parameters during One-Month Observation Period in Critically Ill COVID-19 Patients. Int. J. Mol. Sci., 23. 5. Niesor, E.J., Nader, E., Perez, A., Lamour, F., Benghozi, R., Remaley, A., Thein, S.L., and Connes, P. (2022). Red Blood Cell Membrane Cholesterol May Be a Key Regulator of Sickle Cell Disease Microvascular Complications. Membranes, 12.
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