Evaluation of computational errors in a red blood cell model of the dissipative particle dynamics method

2020 ◽  
Vol 2020.69 (0) ◽  
pp. 114
Author(s):  
Shinto OGAWA ◽  
Toru YAMADA ◽  
Shinji TAMANO ◽  
Yohei MORINISHI
Keyword(s):  
Blood Cell ◽  
Red Blood Cell ◽  
Cell Model ◽  
Dissipative Particle Dynamics ◽  
Particle Dynamics ◽  
Computational Errors ◽  
Dynamics Method

Numerical Studies of Shape Recovery of a Red Blood Cell Using Dissipative Particle Dynamics

2019 ◽  
Vol 17 (07) ◽  
pp. 1950032
Author(s):  
Sisi Tan ◽  
Mingze Xu
Keyword(s):  
Experimental Data ◽  
Blood Cell ◽  
Red Blood Cell ◽  
Shape Recovery ◽  
Dissipative Particle Dynamics ◽  
Viscoelastic Model ◽  
Viscoelastic Behavior ◽  
Particle Dynamics ◽  
Triangular Network ◽  
Stretching Deformation

A biological cell exhibits viscoelastic behavior mainly because its components (membrane and cytoplasm) are viscoelastic, and this is clearly seen when it is stretched and released. The present work numerically studied the shape recovery of a red blood cell (RBC) based on a viscoelastic model at the meso-scale using Dissipative Particle Dynamics (DPD) method. In this model, the RBC membrane is represented by a triangular network of worm-like chains, while the cytoplasm is replaced by a system of DPD particles. This viscoelastic model is validated by examining the stretching deformation of an RBC and comparing with the existing experimental data. Viscoelastic properties of the RBC are then analyzed by stretching an RBC under a 20 pN stretching force, and allowing it to relax. The time to recover its shape upon removal of the stretching force is measured to be 111 and 92.6[Formula: see text]ms for an RBC with and without cytoplasm, and the corresponding membrane viscosity is [Formula: see text] and [Formula: see text] [Formula: see text], respectively. These values, for an RBC with cytoplasm, are closer to experimental data than those for an RBC without cytoplasm, lending support to the model with cytoplasm. Finally, parametric studies are conducted on the membrane elastic and bending moduli. The results show that the shape recovery time decreases with increasing the membrane elastic and bending moduli.

scholarly journals APPLICATION OF DISSIPATIVE PARTICLE DYNAMICS TO THE STUDY OF A RED BLOOD CELL IN SIMPLE SHEAR FLOW

2014 ◽  
Vol 34 ◽  
pp. 1460373
Author(s):  
TING YE ◽  
NHAN PHAN-THIEN ◽  
BOO CHEONG KHOO ◽  
CHWEE TECK LIM
Keyword(s):  
Shear Flow ◽  
Blood Cell ◽  
Simple Shear ◽  
Red Blood Cell ◽  
Dissipative Particle Dynamics ◽  
Particle Dynamics ◽  
Simple Shear Flow ◽  
Past Study ◽  
Computational Domain ◽  
Membrane Particles

The present work reports an attempt to apply the dissipative particle dynamics (DPD) method to study the dynamic behaviors of a red blood cell (RBC) in simple shear flow. The simulation system is discretized into four types of particles, namely wall particles, fluid particles, membrane particles and internal particles. The particle interaction is modeled by the DPD method, and the membrane particles are connected into a viscoelastic triangular network to represent the RBC membrane. As benchmarking tests, we simulate the deformation of a spherical capsule in shear flow and compare it with the past study, and also examine the effect of computational domain size. After that, we investigate the dynamics of a RBC in shear flow at different membrane shear and bending moduli. Our simulations reproduce the tank-treading, trembling and tumbling motions of the RBC at the shear modulus Es = 6, 60 and 600 μN/m, respectively. Moreover, we find that the RBC undergoes a trembling motion when its bending modulus is large enough, where the obvious stretching and smoothing of the RBC occur alternately in shape.

scholarly journals Improvement of Dissipative Particle Dynamics method by taking into account the particle size

2018 ◽  
Vol 0 (0) ◽  
pp. 0-0 ◽  
Author(s):  
Somaye Yaghoubi ◽  
Ebrahim Shirani ◽  
Ahmad Reza Pishevar
Keyword(s):  
Particle Size ◽  
Dissipative Particle Dynamics ◽  
Particle Dynamics ◽  
Dynamics Method

Simulation of gelation process in cysteine–silver solution by dissipative particle dynamics method

2015 ◽  
Vol 77 (5) ◽  
pp. 561-570 ◽  
Author(s):  
P. O. Baburkin ◽  
P. V. Komarov ◽  
S. D. Khizhnyak ◽  
P. M. Pakhomov
Keyword(s):  
Dissipative Particle Dynamics ◽  
Particle Dynamics ◽  
Gelation Process ◽  
Silver Solution ◽  
Dynamics Method

A Red Blood Cell Model to Estimate the Hemolysis Fingerprint of Cardiovascular Devices

2017 ◽  
Vol 42 (1) ◽  
pp. 58-67 ◽  
Author(s):  
Riccardo Toninato ◽  
Giuseppe Fadda ◽  
Francesca Maria Susin
Keyword(s):  
Blood Cell ◽  
Red Blood Cell ◽  
Cell Model ◽  
Cardiovascular Devices
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