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3D particle transport in multichannel microfluidic networks with rough surfaces
Duncan P Ryan1, Yu Chen2, Phong Nguyen3
1Center for Integrated Nanotechnologies, Los Alamos National Laboratory, Los Alamos, 87545, USA.
Scientific Reports
|August 16, 2020
Summary
Particle transport in microfluidic networks is affected by channel surface roughness. Inertial focusing causes large particles to concentrate at the edges, hindering their movement, while small particles distribute evenly.
Area of Science:
- Fluid dynamics
- Microfluidics
- Particle transport
Background:
- Particle and fluid transport in microfluidic networks depend on channel characteristics.
- Real microfluidic channels exhibit surface textures and geometries affecting transport compared to ideal smooth channels.
- Irregular channel surfaces create complex boundary conditions influencing particle trajectories and interactions.
Purpose of the Study:
- To investigate the impact of non-ideal surface textures on particle transport within multichannel microfluidic networks.
- To develop and utilize advanced imaging techniques for high-resolution, large-volume particle tracking.
- To compare experimental findings with simulation results for validation.
Main Methods:
- Development of an extended field-of-view 3D macroscope for particle tracking.
- Investigation of a model multichannel microfluidic network.
- Utilizing topographical surface profiles for Lattice Boltzmann simulations.
- Experimental particle tracking and simulation of particle distributions.
Main Results:
- Experimental measurements and simulations closely reproduced particle distributions.
- Both methods demonstrated sensitivity to surface roughness effects.
- Inertial focusing led to large particles forming an annular distribution, restricting their network transport.
- Small particles exhibited uniform transport across all network regions.
Conclusions:
- Microchannel surface topography significantly influences particle transport dynamics.
- Inertial forces play a crucial role in particle redistribution within microfluidic networks.
- The developed 3D macroscope and simulation approach provide accurate methods for studying complex microfluidic phenomena.

