IEEE Access (Jan 2022)

Automatic Design of Microfluidic Gradient Generators

  • Gerold Fink,
  • Tina Mitteramskogler,
  • Marcus A. Hintermuller,
  • Bernhard Jakoby,
  • Robert Wille

DOI
https://doi.org/10.1109/ACCESS.2022.3158327
Journal volume & issue
Vol. 10
pp. 28155 – 28164

Abstract

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Concentration gradient generators are common components of microfluidic devices when specified mixing ratios have to be acquired. However, depending on their complexity, the creation of a suitable design is an elaborate task. Although approaches exist that derive such a design, they suffer from low flexibility and usability, which is why most concentration gradient generators are still mainly designed manually thus far—a time-consuming and error-prone task. To tackle this problem, we propose a method for the automatic design of tree-shaped concentration gradient generators and introduce a publicly available online tool that automatically generates a suitable design by adjusting the hydrodynamic resistances within the network. Moreover, the proposed tool is not only able to generate designs complying with user-defined requirements, such as mixing ratios, flow rates, and channel widths but also works for any number of outlets. Simulations using a Computational Fluid Dynamics (CFD) tool as well as evaluations on fabricated designs confirm the quality of the results obtained by the proposed tool.

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