A method to prevent clogging and clustering in microfluidic systems using microbubble streaming.

Biomicrofluidics

Institute for Fluid Mechanics and Aerodynamics, Bundeswehr University Munich, Werner-Heisenberg-Weg 39, 85579 Neubiberg, Germany.

Published: July 2024

AI Article Synopsis

  • The paper introduces a novel method to tackle clogging and clustering issues in microchannels of microfluidic devices using controlled 3D microbubble streaming.
  • This technique generates microstreaming with unique properties that prevent clog formation and break apart particle clusters, showcasing its effectiveness through experimental validation and statistical analyses.
  • Additionally, a flexible control system is developed to adapt to different operational modes, enhancing the functionality of lab-on-a-chip applications.

Article Abstract

This paper presents an innovative strategy to address the issues of clogging and cluster-related challenges in microchannels within microfluidic devices. Leveraging three-dimensional (3D) microbubble streaming as a dynamic solution, our approach involves the controlled activation of microbubbles near channel constrictions, inducing microstreaming with distinctive features. This microstreaming, characterized by a high non-uniform 3D gradient and significant shear stress, effectively inhibits arch formation at constrictions and disintegrates particle clusters, demonstrating real-time prevention of clogging incidents and blockages. This study includes experimental validation of the anti-clogging technique, a detailed examination of microstreaming phenomena, and their effects on clogging and clustering issues. It also incorporates statistical analyses performed in various scenarios to verify the method's effectiveness and adaptability. Moreover, a versatile control system has been designed that operates in event-triggered, continuous, or periodic modes, which suits different lab-on-a-chip applications and improves the overall functionality of microfluidic systems.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11232117PMC
http://dx.doi.org/10.1063/5.0214436DOI Listing

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