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A Microfluidic System with Surface Patterning for Investigating Cavitation Bubble(s)–Cell Interaction and the Resultant Bioeffects at the Single-cell Level

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Bubbles navigating through networks of microchannels.

Wonjae Choi¹, Michinao Hashimoto, Audrey K Ellerbee

¹Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA 02138, USA.

|October 18, 2011

Summary

Bubbles in microfluidic networks navigate paths based on liquid flow, not always the shortest route. At high concentrations, bubble flow mimics single-phase fluid behavior.

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Area of Science:

Fluid dynamics
Microfluidics
Network flow

Background:

Single-phase fluids partition flow based on network resistance.
Bubble behavior in microfluidics differs due to their influence on fluidic resistance.

Purpose of the Study:

To investigate the movement and path selection of discrete bubbles in microfluidic networks.
To compare single-bubble and multi-bubble dynamics with single-phase fluid flow.

Main Methods:

Designing microfluidic networks with varying connectivities.
Observing bubble behavior at junctions based on carrier liquid flow rates.
Analyzing bubble path selection for single and multiple bubble scenarios.

Main Results:

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Single bubbles choose paths with the highest carrier liquid flow, not necessarily the shortest or fastest.

Interacting bubbles exhibit complex, time-dependent behaviors.

High bubble concentrations lead to collective flow patterns resembling single-phase fluid distribution.

Conclusions:

Bubble path selection in microfluidics is governed by carrier liquid flow dynamics.
Collective bubble behavior can be predicted by single-phase fluid flow models at high densities.