Literature DB >> 26706718

Particle-based simulations of red blood cells-A review.

Ting Ye1, Nhan Phan-Thien2, Chwee Teck Lim3.   

Abstract

Particle-based methods have been increasingly attractive for solving biofluid flow problems, because of the ease and flexibility in modeling complex structure fluids afforded by the methods. In this review, we focus on popular particle-based methods widely used in red blood cell (RBC) simulations, including dissipative particle dynamics (DPD), smoothed particle hydrodynamics (SPH), and lattice Boltzmann method (LBM). We introduce their basic ideas and formulations, and present their applications in RBC simulations which are divided into three classes according to the number of RBCs in the simulation: a single RBC, two or multiple RBCs, and RBC suspension. Furthermore, we analyze their advantages and disadvantages. On weighing the pros and cons of the methods, a combination of the immersed boundary (IB) method and some forms of smoothed dissipative particle hydrodynamics (SDPD) methods may be required to deal effectively with RBC simulations.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Keywords:  Dissipative particle dynamics; Lattice Boltzmann method; RBC dynamics; RBC rheology; Smoothed particle hydrodynamics

Mesh:

Year:  2015        PMID: 26706718     DOI: 10.1016/j.jbiomech.2015.11.050

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  16 in total

1.  Numerical investigation of oxygen transport by hemoglobin-based carriers through microvessels.

Authors:  Toru Hyakutake; Takumi Kishimoto
Journal:  J Artif Organs       Date:  2017-07-28       Impact factor: 1.731

2.  Sub-cellular modeling of platelet transport in blood flow through microchannels with constriction.

Authors:  Alireza Yazdani; George Em Karniadakis
Journal:  Soft Matter       Date:  2016-05-11       Impact factor: 3.679

3.  The interaction of vortical flows with red cells in venous valve mimics.

Authors:  Zyrina Alura C Sanchez; Vignesha Vijayananda; Devin M Virassammy; Liat Rosenfeld; Anand K Ramasubramanian
Journal:  Biomicrofluidics       Date:  2022-03-03       Impact factor: 2.800

4.  Shape transformations of red blood cells in the capillary and their possible connections to oxygen transportation.

Authors:  Caiqun Wang; Jianfeng Li; Liutao Zhao; Ping Qian
Journal:  J Biol Phys       Date:  2021-11-19       Impact factor: 1.365

5.  Models of Shear-Induced Platelet Activation and Numerical Implementation With Computational Fluid Dynamics Approaches.

Authors:  Dong Han; Jiafeng Zhang; Bartley P Griffith; Zhongjun J Wu
Journal:  J Biomech Eng       Date:  2022-04-01       Impact factor: 2.097

6.  Cellular Level In-silico Modeling of Blood Rheology with An Improved Material Model for Red Blood Cells.

Authors:  Gábor Závodszky; Britt van Rooij; Victor Azizi; Alfons Hoekstra
Journal:  Front Physiol       Date:  2017-08-02       Impact factor: 4.566

Review 7.  Deformation of Red Blood Cells, Air Bubbles, and Droplets in Microfluidic Devices: Flow Visualizations and Measurements.

Authors:  David Bento; Raquel O Rodrigues; Vera Faustino; Diana Pinho; Carla S Fernandes; Ana I Pereira; Valdemar Garcia; João M Miranda; Rui Lima
Journal:  Micromachines (Basel)       Date:  2018-03-27       Impact factor: 2.891

8.  A coarse-grained red blood cell membrane model to study stomatocyte-discocyte-echinocyte morphologies.

Authors:  Nadeeshani Maheshika Geekiyanage; Marie Anne Balanant; Emilie Sauret; Suvash Saha; Robert Flower; Chwee Teck Lim; YuanTong Gu
Journal:  PLoS One       Date:  2019-04-19       Impact factor: 3.240

Review 9.  Computational modeling of single-cell mechanics and cytoskeletal mechanobiology.

Authors:  Vijay Rajagopal; William R Holmes; Peter Vee Sin Lee
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2017-11-30

Review 10.  Synergistic Integration of Laboratory and Numerical Approaches in Studies of the Biomechanics of Diseased Red Blood Cells.

Authors:  He Li; Dimitrios P Papageorgiou; Hung-Yu Chang; Lu Lu; Jun Yang; Yixiang Deng
Journal:  Biosensors (Basel)       Date:  2018-08-10
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