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3D particle transport in multichannel microfluidic networks with rough surfaces

The transport of particles and fluids through multichannel microfluidic networks is influenced by details of the channels. Because channels have micro-scale textures and macro-scale geometries, this transport can differ from the case of ideally smooth channels. Surfaces of real channels have irregul...

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Autores principales: Ryan, Duncan P., Chen, Yu, Nguyen, Phong, Goodwin, Peter M., Carey, J. William, Kang, Qinjun, Werner, James H., Viswanathan, Hari S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7427810/
https://www.ncbi.nlm.nih.gov/pubmed/32796948
http://dx.doi.org/10.1038/s41598-020-70728-1
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author Ryan, Duncan P.
Chen, Yu
Nguyen, Phong
Goodwin, Peter M.
Carey, J. William
Kang, Qinjun
Werner, James H.
Viswanathan, Hari S.
author_facet Ryan, Duncan P.
Chen, Yu
Nguyen, Phong
Goodwin, Peter M.
Carey, J. William
Kang, Qinjun
Werner, James H.
Viswanathan, Hari S.
author_sort Ryan, Duncan P.
collection PubMed
description The transport of particles and fluids through multichannel microfluidic networks is influenced by details of the channels. Because channels have micro-scale textures and macro-scale geometries, this transport can differ from the case of ideally smooth channels. Surfaces of real channels have irregular boundary conditions to which streamlines adapt and with which particle interact. In low-Reynolds number flows, particles may experience inertial forces that result in trans-streamline movement and the reorganization of particle distributions. Such transport is intrinsically 3D and an accurate measurement must capture movement in all directions. To measure the effects of non-ideal surface textures on particle transport through complex networks, we developed an extended field-of-view 3D macroscope for high-resolution tracking across large volumes ([Formula: see text] ) and investigated a model multichannel microfluidic network. A topographical profile of the microfluidic surfaces provided lattice Boltzmann simulations with a detailed feature map to precisely reconstruct the experimental environment. Particle distributions from simulations closely reproduced those observed experimentally and both measurements were sensitive to the effects of surface roughness. Under the conditions studied, inertial focusing organized large particles into an annular distribution that limited their transport throughout the network while small particles were transported uniformly to all regions.
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spelling pubmed-74278102020-08-18 3D particle transport in multichannel microfluidic networks with rough surfaces Ryan, Duncan P. Chen, Yu Nguyen, Phong Goodwin, Peter M. Carey, J. William Kang, Qinjun Werner, James H. Viswanathan, Hari S. Sci Rep Article The transport of particles and fluids through multichannel microfluidic networks is influenced by details of the channels. Because channels have micro-scale textures and macro-scale geometries, this transport can differ from the case of ideally smooth channels. Surfaces of real channels have irregular boundary conditions to which streamlines adapt and with which particle interact. In low-Reynolds number flows, particles may experience inertial forces that result in trans-streamline movement and the reorganization of particle distributions. Such transport is intrinsically 3D and an accurate measurement must capture movement in all directions. To measure the effects of non-ideal surface textures on particle transport through complex networks, we developed an extended field-of-view 3D macroscope for high-resolution tracking across large volumes ([Formula: see text] ) and investigated a model multichannel microfluidic network. A topographical profile of the microfluidic surfaces provided lattice Boltzmann simulations with a detailed feature map to precisely reconstruct the experimental environment. Particle distributions from simulations closely reproduced those observed experimentally and both measurements were sensitive to the effects of surface roughness. Under the conditions studied, inertial focusing organized large particles into an annular distribution that limited their transport throughout the network while small particles were transported uniformly to all regions. Nature Publishing Group UK 2020-08-14 /pmc/articles/PMC7427810/ /pubmed/32796948 http://dx.doi.org/10.1038/s41598-020-70728-1 Text en © This is a U.S. Government work and not under copyright protection in the US; foreign copyright protection may apply 2020 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Ryan, Duncan P.
Chen, Yu
Nguyen, Phong
Goodwin, Peter M.
Carey, J. William
Kang, Qinjun
Werner, James H.
Viswanathan, Hari S.
3D particle transport in multichannel microfluidic networks with rough surfaces
title 3D particle transport in multichannel microfluidic networks with rough surfaces
title_full 3D particle transport in multichannel microfluidic networks with rough surfaces
title_fullStr 3D particle transport in multichannel microfluidic networks with rough surfaces
title_full_unstemmed 3D particle transport in multichannel microfluidic networks with rough surfaces
title_short 3D particle transport in multichannel microfluidic networks with rough surfaces
title_sort 3d particle transport in multichannel microfluidic networks with rough surfaces
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7427810/
https://www.ncbi.nlm.nih.gov/pubmed/32796948
http://dx.doi.org/10.1038/s41598-020-70728-1
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