Advances in Computational Fluid Mechanics in Cellular Flow Manipulation: A Review

被引:17
作者
Arabghahestani, Masoud [1 ]
Poozesh, Sadegh [2 ]
Akafuah, Nelson K. [1 ]
机构
[1] Univ Kentucky, Inst Res Technol Dev IR4TD, Lexington, KY 40506 USA
[2] Tuskegee Univ, Mech Engn Dept, Tuskegee, AL 36088 USA
来源
APPLIED SCIENCES-BASEL | 2019年 / 9卷 / 19期
关键词
computational fluid mechanics; microfluidic devices; cellular flow; numerical simulations; molecular and continuum levels; MOLECULAR-DYNAMICS SIMULATION; LATTICE BOLTZMANN METHOD; BLOOD-FLOW; NUMERICAL-SIMULATION; ELEMENT-METHOD; ON-CHIP; MICROFLUIDICS; SEPARATION; SYSTEM; MOTION;
D O I
10.3390/app9194041
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Recently, remarkable developments have taken place, leading to significant improvements in microfluidic methods to capture subtle biological effects down to single cells. As microfluidic devices are getting sophisticated, design optimization through experimentations is becoming more challenging. As a result, numerical simulations have contributed to this trend by offering a better understanding of cellular microenvironments hydrodynamics and optimizing the functionality of the current/emerging designs. The need for new marketable designs with advantageous hydrodynamics invokes easier access to efficient as well as time-conservative numerical simulations to provide screening over cellular microenvironments, and to emulate physiological conditions with high accuracy. Therefore, an excerpt overview on how each numerical methodology and associated handling software works, and how they differ in handling underlying hydrodynamic of lab-on-chip microfluidic is crucial. These numerical means rely on molecular and continuum levels of numerical simulations. The current review aims to serve as a guideline for researchers in this area by presenting a comprehensive characterization of various relevant simulation techniques.
引用
收藏
页数:24
相关论文
共 118 条
[91]   Hemodynamic analysis of capillary in finger nail-fold using computational fluid dynamics and image estimation [J].
Shih, Tzu-Ching ;
Zhang, Geoffrey ;
Wu, Chih-Chieh ;
Hsiao, Hung-Da ;
Wu, Tung-Hsin ;
Lin, Kang-Ping ;
Huang, Tzung-Chi .
MICROVASCULAR RESEARCH, 2011, 81 (01) :68-72
[92]   Platelet Motion near a Vessel Wall or Thrombus Surface in Two-Dimensional Whole Blood Simulations [J].
Skorczewski, Tyler ;
Erickson, Lindsay Growl ;
Fogelson, Aaron L. .
BIOPHYSICAL JOURNAL, 2013, 104 (08) :1764-1772
[93]   Computational fluid dynamics (CFD) study of the 4th generation prototype of a continuous flow ventricular assist device (VAD) [J].
Song, XW ;
Wood, HG ;
Olsen, D .
JOURNAL OF BIOMECHANICAL ENGINEERING-TRANSACTIONS OF THE ASME, 2004, 126 (02) :180-187
[94]   Modeling anticancer drug-DNA interactions via mixed QM/MM molecular dynamics simulations [J].
Spiegel, Katrin ;
Magistrato, Alessandra .
ORGANIC & BIOMOLECULAR CHEMISTRY, 2006, 4 (13) :2507-2517
[95]   Particulate nature of blood determines macroscopic rheology: A 2-D lattice Boltzmann analysis [J].
Sun, CH ;
Munn, LL .
BIOPHYSICAL JOURNAL, 2005, 88 (03) :1635-1645
[96]   Lattice-Boltzmann simulation of blood flow in digitized vessel networks [J].
Sun, Chenghai ;
Munn, Lance L. .
COMPUTERS & MATHEMATICS WITH APPLICATIONS, 2008, 55 (07) :1594-1600
[97]  
Taflove A, 2005, COMPUTATIONAL ELECTR
[98]   Deformation of a Red Blood Cell in a Narrow Rectangular Microchannel [J].
Takeishi, Naoki ;
Ito, Hiroaki ;
Kaneko, Makoto ;
Wada, Shigeo .
MICROMACHINES, 2019, 10 (03)
[99]   Biomechanical properties of red blood cells in health and disease towards microfluidics [J].
Tomaiuolo, Giovanna .
BIOMICROFLUIDICS, 2014, 8 (05)
[100]  
Tomaiuolo G, 2011, LAB CHIP, V11, P449, DOI [10.1039/c0lc00348d, 10.1039/c01c00348d]