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Updated: Mar 6, 2026

A Microfluidic-based Hydrodynamic Trap for Single Particles

A Microfluidic-based Hydrodynamic Trap for Single Particles

Published on: January 21, 2011

Oscillatory flow for contactless particle trapping.

Gabrielle Saint-Girons^1,2, Kaustav A Gopinathan^1,3, Sajad Razavi Bazaz^1,4,3

¹BioMEMS Resource Center, Center for Engineering in Medicine and Surgical Services, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, 02114, USA. jedd@mgb.org.

|March 5, 2026

Summary

This summary is machine-generated.

We developed a new microfluidic oscillatory asymmetrical trap (MOAT) for contact-free particle manipulation. This technique overcomes limitations of existing methods, enabling stable trapping using pressure oscillations in geometrically asymmetric devices.

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Area of Science:

Microfluidics
Biophysics
Fluid Dynamics

Background:

Existing contact-free microfluidic trapping methods (optical, acoustic, dielectrophoretic) have limitations.
These limitations include restricted trapping areas, complex tuning, and the need for specialized buffers.

Purpose of the Study:

Introduce a novel contact-free trapping technique: the microfluidic oscillatory asymmetrical trap (MOAT).
Overcome limitations of existing methods for stable particle trapping in microfluidic devices.

Main Methods:

Investigated the MOAT phenomenon using experiments on a 3D-printed plane expansion chip.
Conducted numerical simulations to analyze trapping behavior.
Measured trapping efficiency and strength.

Main Results:

Demonstrated stable, contact-free trapping using pressure oscillations in devices with streamwise geometric asymmetry.
Observed trapping across diverse particle types (plastic beads to cell lines) and devices.
Identified optimal conditions for trapping, enhanced by upstream inertial focusing.

Conclusions:

The MOAT is a versatile and effective method for contact-free particle trapping in microfluidics.
The phenomenon relies on oscillatory Reynolds number-dependent dynamics in asymmetric geometries.
MOAT offers a promising alternative to existing trapping techniques, with broad applicability.