• DocumentCode
    3610531
  • Title

    Modeling, Simulation and Experimentation of Droplet-Based Microfluidic Networks

  • Author

    Biral, Andrea ; Zordan, Davide ; Zanella, Andrea

  • Author_Institution
    Department of Information Engineering, University of Padova, Padova, Italy
  • Volume
    1
  • Issue
    2
  • fYear
    2015
  • fDate
    6/1/2015 12:00:00 AM
  • Firstpage
    122
  • Lastpage
    134
  • Abstract
    The aim of this paper is to model the “macroscopic” functioning of droplet-based microfluidic networks, i.e., the speed and trajectory of droplets across a network of microfluidic elements. To this end, we first give a quick overview of microfluidic basics and main governing rules. Based on such principles, we derive mathematical models of the fundamental components of a microfluidic network and, then, we identify the set of variables that capture the dynamic state of the system. This allows us to define a simple way to simulate the “macroscopic” evolution of the microfluidic network, predicting the path followed by the droplets in the circuits. To validate the model, we compare the simulation results with the experimental outcomes we obtained from a simple but representative microfluidic circuit, which has been realized in our laboratory, and with other circuits tested in previous works. Finally, we apply our theoretical model to a more complex use-case, consisting in a microfluidic network with bus topology, and we draw some final considerations about the performance of such a network.
  • Keywords
    Analytical models; Biology; Integrated circuit modeling; Mathematical model; Network topology; Topology; Viscosity; Microfluidics; T-junction; bus topology; bypass channel; droplet; droplets routing; microfluidic/electric duality; purely hydrodynamic switching; simulation; throughput;
  • fLanguage
    English
  • Journal_Title
    Molecular, Biological and Multi-Scale Communications, IEEE Transactions on
  • Publisher
    ieee
  • Type

    jour

  • DOI
    10.1109/TMBMC.2015.2500569
  • Filename
    7328740