Literature DB >> 25553188

Millifluidics as a simple tool to optimize droplet networks: Case study on drop traffic in a bifurcated loop.

William S Wang1, Siva A Vanapalli1.   

Abstract

We report that modular millifluidic networks are simpler, more cost-effective alternatives to traditional microfluidic networks, and they can be rapidly generated and altered to optimize designs. Droplet traffic can also be studied more conveniently and inexpensively at the millimeter scale, as droplets are readily visible to the naked eye. Bifurcated loops, ladder networks, and parking networks were made using only Tygon(®) tubing and plastic T-junction fittings and visualized using an iPod(®) camera. As a case study, droplet traffic experiments through a millifluidic bifurcated loop were conducted, and the periodicity of drop spacing at the outlet was mapped over a wide range of inlet drop spacing. We observed periodic, intermittent, and aperiodic behaviors depending on the inlet drop spacing. The experimentally observed periodic behaviors were in good agreement with numerical simulations based on the simple network model. Our experiments further identified three main sources of intermittency between different periodic and/or aperiodic behaviors: (1) simultaneous entering and exiting events, (2) channel defects, and (3) equal or nearly equal hydrodynamic resistances in both sides of the bifurcated loop. In cases of simultaneous events and/or channel defects, the range of input spacings where intermittent behaviors are observed depends on the degree of inherent variation in input spacing. Finally, using a time scale analysis of syringe pump fluctuations and experiment observation times, we find that in most cases, more consistent results can be generated in experiments conducted at the millimeter scale than those conducted at the micrometer scale. Thus, millifluidic networks offer a simple means to probe collective interactions due to drop traffic and optimize network geometry to engineer passive devices for biological and material analysis.

Entities:  

Year:  2014        PMID: 25553188      PMCID: PMC4257966          DOI: 10.1063/1.4902910

Source DB:  PubMed          Journal:  Biomicrofluidics        ISSN: 1932-1058            Impact factor:   2.800


  49 in total

1.  Geometrically mediated breakup of drops in microfluidic devices.

Authors:  D R Link; S L Anna; D A Weitz; H A Stone
Journal:  Phys Rev Lett       Date:  2004-02-06       Impact factor: 9.161

2.  Millifluidic droplet analyser for microbiology.

Authors:  Larysa Baraban; Fabien Bertholle; Merijn L M Salverda; Nicolas Bremond; Pascal Panizza; Jean Baudry; J Arjan G M de Visser; Jérôme Bibette
Journal:  Lab Chip       Date:  2011-10-20       Impact factor: 6.799

3.  Hamiltonian traffic dynamics in microfluidic-loop networks.

Authors:  Raphaël Jeanneret; Julien-Piera Vest; Denis Bartolo
Journal:  Phys Rev Lett       Date:  2012-01-18       Impact factor: 9.161

4.  Microfluidic static droplet arrays with tuneable gradients in material composition.

Authors:  Meng Sun; Swastika S Bithi; Siva A Vanapalli
Journal:  Lab Chip       Date:  2011-10-12       Impact factor: 6.799

5.  Passive self-synchronized two-droplet generation.

Authors:  Jongin Hong; Minsuk Choi; Joshua B Edel; Andrew J deMello
Journal:  Lab Chip       Date:  2010-08-18       Impact factor: 6.799

6.  Compact model for multi-phase liquid-liquid flows in micro-fluidic devices.

Authors:  Fabien Jousse; Guoping Lian; Ruth Janes; John Melrose
Journal:  Lab Chip       Date:  2005-03-15       Impact factor: 6.799

7.  Droplet traffic at a simple junction at low capillary numbers.

Authors:  Wilfried Engl; Matthieu Roche; Annie Colin; Pascal Panizza; Armand Ajdari
Journal:  Phys Rev Lett       Date:  2005-11-11       Impact factor: 9.161

8.  Behavior of a train of droplets in a fluidic network with hydrodynamic traps.

Authors:  Swastika S Bithi; Siva A Vanapalli
Journal:  Biomicrofluidics       Date:  2010-12-06       Impact factor: 2.800

9.  Controlled synthesis of nonspherical microparticles using microfluidics.

Authors:  Dhananjay Dendukuri; Kim Tsoi; T Alan Hatton; Patrick S Doyle
Journal:  Langmuir       Date:  2005-03-15       Impact factor: 3.882

10.  Agent-based simulations of complex droplet pattern formation in a two-branch microfluidic network.

Authors:  Bradford J Smith; Donald P Gaver
Journal:  Lab Chip       Date:  2009-11-27       Impact factor: 6.799

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  1 in total

Review 1.  Microfluidic viscometers for shear rheology of complex fluids and biofluids.

Authors:  Siddhartha Gupta; William S Wang; Siva A Vanapalli
Journal:  Biomicrofluidics       Date:  2016-07-05       Impact factor: 2.800

  1 in total

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