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
[1]   Magnetophoretic transistors in a tri-axial magnetic field [J].
Abedini-Nassab, Roozbeh ;
Joh, Daniel Y. ;
Albarghouthi, Faris ;
Chilkoti, Ashutosh ;
Murdoch, David M. ;
Yellen, Benjamin B. .
LAB ON A CHIP, 2016, 16 (21) :4181-4188
[2]   Spatial Positioning and Operating Parameters of a Rotary Bell Sprayer: 3D Mapping of Droplet Size Distributions [J].
Ahmad, Adnan Darwish ;
Singh, Binit B. ;
Doerre, Mark ;
Abubaker, Ahmad M. ;
Arabghahestani, Masoud ;
Salaimeh, Ahmad A. ;
Akafuah, Nelson K. .
FLUIDS, 2019, 4 (03)
[3]   Microfluidics in nanoparticle drug delivery; From synthesis to pre-clinical screening [J].
Ahn, Jungho ;
Ko, Jihoon ;
Lee, Somin ;
Yu, James ;
Kim, YongTae ;
Jeon, Noo Li .
ADVANCED DRUG DELIVERY REVIEWS, 2018, 128 :29-53
[4]   Enhanced inertial focusing of microparticles and cells by integrating trapezoidal microchambers in spiral microfluidic channels [J].
Al-Halhouli, Ala'aldeen ;
Albagdady, Ahmed ;
Al-Faqheri, Wisam ;
Kottmeier, Jonathan ;
Meinen, Sven ;
Frey, Lasse Jannis ;
Krull, Rainer ;
Dietzel, Andreas .
RSC ADVANCES, 2019, 9 (33) :19197-19204
[5]   STUDIES IN MOLECULAR DYNAMICS .1. GENERAL METHOD [J].
ALDER, BJ ;
WAINWRIGHT, TE .
JOURNAL OF CHEMICAL PHYSICS, 1959, 31 (02) :459-466
[6]  
[Anonymous], 2002, Appl. Mechan. Rev.
[7]   Entropy function approach to the Lattice Boltzmann method [J].
Ansumali, S ;
Karlin, HV .
JOURNAL OF STATISTICAL PHYSICS, 2002, 107 (1-2) :291-308
[8]   A single inlet two-stage acoustophoresis chip enabling tumor cell enrichment from white blood cells [J].
Antfolk, Maria ;
Antfolk, Christian ;
Lilja, Hans ;
Laurell, Thomas ;
Augustsson, Per .
LAB ON A CHIP, 2015, 15 (09) :2102-2109
[9]   Molecular dynamics simulation of rotating carbon nanotube in uniform liquid argon flow [J].
Arabghahestani, M. ;
Karimian, S. M. H. .
JOURNAL OF MOLECULAR LIQUIDS, 2017, 225 :357-364
[10]   Modelling and simulation of flow and agglomeration in deep veins valves using discrete multi physics [J].
Ariane, M. ;
Wen, W. ;
Vigolo, D. ;
Brill, A. ;
Nash, F. G. B. ;
Barigou, M. ;
Alexiadis, A. .
COMPUTERS IN BIOLOGY AND MEDICINE, 2017, 89 :96-103