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Updated: May 28, 2026

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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Microbubble transport through a bifurcating vessel network with pulsatile flow.

Doug T Valassis¹, Robert E Dodde, Brijesh Esphuniyani

¹Department of Biomedical Engineering, University of Michigan, Ann Arbor, MI 48109-2110, USA.

Biomedical Microdevices

|October 4, 2011

Summary

This summary is machine-generated.

Microbubble transport in pulsatile flow is modeled, revealing roll angle impacts bubble splitting. Pulsatile flow minimally affects overall splitting but influences bubble lodging, crucial for gas embolotherapy and air embolism understanding.

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Area of Science:

Fluid Dynamics
Biomedical Engineering
Microfluidics

Background:

Two-phase microfluidics and clinical applications like air embolism and gas embolotherapy motivate microbubble transport studies.
Understanding microbubble behavior in pulsatile flow is critical for medical applications and microfluidic devices.

Purpose of the Study:

To develop and present experimental and theoretical models of microbubble transport in pulsatile flow.
To investigate the influence of pulsatile flow and network geometry on bubble dynamics.

Main Methods:

Developed a one-dimensional time-dependent theoretical model from an unsteady Bernoulli equation, incorporating viscous and unsteady effects.
Conducted experiments to validate theoretical predictions of microbubble behavior in bifurcating networks.

Main Results:

Roll angle significantly affects bubble splitting ratio at bifurcations.
Pulsatile flow showed insignificant changes to overall bubble splitting ratio compared to constant flow.
Bubble lodging was influenced by flow pulsatility, with effects evident in the splitting ratio's dependence on bubble length.

Conclusions:

Microbubble splitting in vasculature can be adequately modeled using constant flow models.
Pulsatile flow significantly impacts bubble lodging, which is crucial for gas embolotherapy and air embolism.
Accurate prediction of bubble dynamics in unsteady flow is demonstrated, highlighting potential for information encoding in microfluidic devices.