Literature DB >> 20126689

Dynamic memory in a microfluidic system of droplets traveling through a simple network of microchannels.

Olgierd Cybulski1, Piotr Garstecki.   

Abstract

The flow of droplets through the simplest microfluidic network--a set of two parallel channels with a common inlet and a common outlet--exhibits a rich variety of dynamic behaviors parametrized by the frequency of feeding of droplets into the system and by the asymmetry of the arms of the microfluidic loop. Finite ranges of these two parameters form islands of regular (cyclic) behaviors of a well defined period that can be estimated via simple theoretical arguments. These islands are separated by regions of behaviors that are either irregular or cyclic with a very long periodicity. Interestingly, theoretical arguments and numerical simulations show that within the islands of regular behaviors the state of the system can be degenerate: there can exist a number of distinct sequences of trajectories of droplets, each stable and--in the absence of disturbances--continuing ad infinitum. The system can be switched between these cyclic trajectories with a single stimulus.

Year:  2009        PMID: 20126689     DOI: 10.1039/b912988j

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


  7 in total

1.  Droplet breakup in an asymmetric microfluidic T junction.

Authors:  Ahmad Bedram; Ali Moosavi
Journal:  Eur Phys J E Soft Matter       Date:  2011-08-08       Impact factor: 1.890

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

Authors:  William S Wang; Siva A Vanapalli
Journal:  Biomicrofluidics       Date:  2014-12-01       Impact factor: 2.800

3.  Bistability in droplet traffic at asymmetric microfluidic junctions.

Authors:  Pravien Parthiban; Saif A Khan
Journal:  Biomicrofluidics       Date:  2013-08-23       Impact factor: 2.800

4.  Red blood cell phase separation in symmetric and asymmetric microchannel networks: effect of capillary dilation and inflow velocity.

Authors:  Francesco Clavica; Alexandra Homsy; Laure Jeandupeux; Dominik Obrist
Journal:  Sci Rep       Date:  2016-11-18       Impact factor: 4.379

5.  Non-Newtonian droplet-based microfluidics logic gates.

Authors:  Elmira Asghari; Ali Moosavi; Siamak Kazemzadeh Hannani
Journal:  Sci Rep       Date:  2020-06-09       Impact factor: 4.379

6.  Continuous Recirculation of Microdroplets in a Closed Loop Tailored for Screening of Bacteria Cultures.

Authors:  Pawel R Debski; Karolina Sklodowska; Jacek A Michalski; Piotr M Korczyk; Miroslaw Dolata; Slawomir Jakiela
Journal:  Micromachines (Basel)       Date:  2018-09-17       Impact factor: 2.891

7.  Simulation before fabrication: a case study on the utilization of simulators for the design of droplet microfluidic networks.

Authors:  Andreas Grimmer; Xiaoming Chen; Medina Hamidović; Werner Haselmayr; Carolyn L Ren; Robert Wille
Journal:  RSC Adv       Date:  2018-10-10       Impact factor: 3.361

  7 in total

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