Literature DB >> 23380996

Passive droplet sorting using viscoelastic flow focusing.

Andrew C Hatch1, Apurva Patel, N Reginald Beer, Abraham P Lee.   

Abstract

We present a study of passive hydrodynamic droplet sorting in microfluidic channels based on intrinsic viscoelastic fluid properties. Sorting is achieved by tuning the droplets' intrinsic viscous and viscoelastic properties relative to the continuous oil phase to achieve a positive or negative lateral migration toward high or low shear gradients in the channel. In the presence of weakly viscoelastic fluid behavior, droplets with a viscosity ratio, κ, between 0.5-10 were found to migrate toward a high shear gradient near the channel walls. For all other κ-values, or Newtonian fluids, droplets would migrate toward a low shear gradient at the channel centerline. It was also found that for strongly viscoelastic fluids with low interfacial tension, droplets would migrate toward the edge even with κ-values lower than 0.5. The resulting bi-directional lateral droplet migration between different droplets allows size-independent sorting. Still, their sorting efficiencies are dependent on droplet size, intrinsic fluid elasticity, viscosity, droplet deformability, and overall fluid shear rates. Based on these findings, we demonstrate >200 Hz passive droplet sorting frequencies and achieve >100 fold enrichment factors without the need to actively sense and/or control active mechanisms. Using a low viscosity oil phase of 6.25 cPs, we demonstrate sorting discrimination of 1 cPs and 5 cPs aqueous droplets with κ-values of 0.2 and 0.8 respectively.

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Year:  2013        PMID: 23380996     DOI: 10.1039/c2lc41160a

Source DB:  PubMed          Journal:  Lab Chip        ISSN: 1473-0189            Impact factor:   6.799


  5 in total

1.  Magnetic water-in-water droplet microfluidics: Systematic experiments and scaling mathematical analysis.

Authors:  Maryam Navi; Niki Abbasi; Alinaghi Salari; Scott S H Tsai
Journal:  Biomicrofluidics       Date:  2020-03-04       Impact factor: 2.800

2.  Towards Microfluidic-Based Exosome Isolation and Detection for Tumor Therapy.

Authors:  Jie Wang; Peng Ma; Daniel H Kim; Bi-Feng Liu; Utkan Demirci
Journal:  Nano Today       Date:  2021-01-13       Impact factor: 20.722

3.  An on-chip imaging droplet-sorting system: a real-time shape recognition method to screen target cells in droplets with single cell resolution.

Authors:  Mathias Girault; Hyonchol Kim; Hisayuki Arakawa; Kenji Matsuura; Masao Odaka; Akihiro Hattori; Hideyuki Terazono; Kenji Yasuda
Journal:  Sci Rep       Date:  2017-01-06       Impact factor: 4.379

4.  Size-Dependent and Property-Independent Passive Microdroplet Sorting by Droplet Transfer on Dot Rails.

Authors:  Dong Hyun Yoon; Daiki Tanaka; Tetsushi Sekiguchi; Shuichi Shoji
Journal:  Micromachines (Basel)       Date:  2018-10-11       Impact factor: 2.891

Review 5.  Droplet Manipulation under a Magnetic Field: A Review.

Authors:  Gui-Ping Zhu; Qi-Yue Wang; Zhao-Kun Ma; Shi-Hua Wu; Yi-Pan Guo
Journal:  Biosensors (Basel)       Date:  2022-03-02
  5 in total

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