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  • 标题:3D particle transport in multichannel microfluidic networks with rough surfaces
  • 本地全文:下载
  • 作者:Duncan P. Ryan ; Yu Chen ; Phong Nguyen
  • 期刊名称:Scientific Reports
  • 电子版ISSN:2045-2322
  • 出版年度:2020
  • 卷号:10
  • 期号:1
  • DOI:10.1038/s41598-020-70728-1
  • 出版社:Springer Nature
  • 摘要:The transport of particles and fuids through multichannel microfuidic networks is infuenced by details of the channels. Because channels have micro-scale textures and macro-scale geometries, this transport can difer 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 fows, 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 efects of non-ideal surface textures on particle transport through complex networks, we developed an extended feld-of-view 3D macroscope for high-resolution tracking across large volumes (25 mm × 25 mm × 2 mm) and investigated a model multichannel microfuidic network. A topographical profle of the microfuidic 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 efects 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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