Size-dependent particle migration and trapping in three-dimensional microbubble streaming flows

Andreas Volk, Massimiliano Rossi, Bhargav Rallabandi, Christian J. Kähler, Sascha Hilgenfeldt, Alvaro Marin*

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

107 Downloads (Pure)

Abstract

Acoustically actuated sessile bubbles can be used as a tool to manipulate microparticles, vesicles, and cells. In this work, using acoustically actuated sessile semicylindrical microbubbles, we demonstrate experimentally that finite-sized microparticles undergo size-sensitive migration and trapping toward specific spatial positions in three dimensions with high reproducibility. The particle trajectories are successfully reproduced by passive advection of the particles in a steady three-dimensional streaming flow field augmented with volume exclusion from the confining boundaries. For different particle sizes, this volume exclusion mechanism leads to three regimes of qualitatively different migratory behavior, suggesting applications for separating, trapping, and sorting of particles in three dimensions.

Original languageEnglish
Article number114201
JournalPhysical Review Fluids
Volume5
Issue number11
Number of pages12
ISSN2469-9918
DOIs
Publication statusPublished - 2020

Bibliographical note

Funding Information:
This work is the culmination of many years of work and collaboration between these authors, and many others not included in the author list have contributed indirectly to it. At least we should acknowledge abundant discussions and technical help from Raqeeb Thameem, Cheng Wang, and Rune Barnkob. A.V. and C.J.K. acknowledge financial support by the German Research Foundation Grant No. KA 1808/17-1. A.M. acknowledges the financial support by the European Research Council via the Starting Grant No. 678573.

Fingerprint

Dive into the research topics of 'Size-dependent particle migration and trapping in three-dimensional microbubble streaming flows'. Together they form a unique fingerprint.

Cite this