alexa Simulation of a Microfluidic Gradient Generator using Lattice Boltzmann Methods | OMICS International | Abstract
ISSN: 2332-0737

Current Synthetic and Systems Biology
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Research Article

Simulation of a Microfluidic Gradient Generator using Lattice Boltzmann Methods

Simon Tanaka1,2 and Dagmar Iber1,2*

1Swiss Institute of Bioinformatics, Basel, Switzerland

2Department for Biosystems Science and Engineering, ETH Zurich, Mattenstrasse 26, Basel, Switzerland

*Corresponding Author:
Dagmar Iber
Department for Biosystems Science and Engineering
ETH Zurich, Mattenstrasse 26, Basel, Switzerland
Tel: +41 61 387 32 10
Fax: +41 61 387 31 94
E-mail: [email protected]

Received date: June 15, 2013; Accepted date: July 17, 2013; Published date: July 22, 2013

Citation: Tanaka S, Iber D (2013) Simulation of a Microfluidic Gradient Generator using Lattice Boltzmann Methods. Curr Synthetic Sys Biol 1:102. doi: 10.4172/2332-0737.1000102

Copyright: © 2013 Tanaka S, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

Microfluidics provides a powerful and versatile technology to accurately control spatial and temporal conditions for cell culturing and can therefore be used to study cellular responses to gradients. Here we use Lattice Boltzmann methods (LBM) to solve both the Navier-Stokes equation (NSE) for the fluid and the coupled convection-diffusion equation (CDE) for the compounds that form the diffusion-based gradient. The design of a microfluidic chamber for diffusion-based gradients must avoid flow through the cell chamber. This can be achieved by alternately opening the source and the sink channels. The fast toggling of microfluidic valves requires switching between different boundary conditions. We demonstrate that the LBM is a powerful method for handling complex geometries, high Péclet number conditions, discontinuities in the boundary conditions, and multiphysics coupling.

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