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Related Experiment Video

Updated: Jul 4, 2026

Label-free Isolation and Enrichment of Cells Through Contactless Dielectrophoresis

Label-free Isolation and Enrichment of Cells Through Contactless Dielectrophoresis

Published on: September 3, 2013

Cell motion model for moving dielectrophoresis.

Chin Hock Kua¹, Yee Cheong Lam, Isabel Rodriguez

¹Singapore-MIT Alliance, and School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore 639798.

Analytical Chemistry

|June 19, 2008

Summary

Moving dielectrophoresis enables simultaneous cell fractionation and transport using a moving electric field. This study models unsteady cell motion, providing insights for microdevice design and cell manipulation.

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Area of Science:

Biophysics
Microfluidics
Electrical Engineering

Background:

Moving dielectrophoresis (mDEP) is a novel technique for simultaneous cell fractionation and transport.
Microfluidic devices utilize arrays of microelectrodes to generate moving electric fields for cell manipulation.
Understanding cell dynamics under mDEP is crucial for optimizing microdevice design.

Purpose of the Study:

To develop a mathematical model for the equation of motion of a polarized cell under moving dielectrophoresis.
To analyze the unsteady motion of cells experiencing positive and negative dielectrophoresis.
To provide a predictive tool for cell trajectory in mDEP microdevices.

Main Methods:

A model was developed considering dielectrophoretic force, fluid drag, buoyancy, and gravity.
The model incorporates a parallel-plate wall correction factor for cell-to-channel height ratios.
Simulations examined various parameters: cell properties, electric field, electrode geometry, and microchannel dimensions.

Main Results:

The model accurately predicts cell motion under moving dielectrophoresis.
Distinct differences in cell motion were observed for positive and negative dielectrophoresis.
Simulated results showed reasonable agreement with experimental data.

Conclusions:

The developed model provides a fundamental understanding of unsteady cell motion in mDEP.
This work facilitates the rational design and optimization of microdevices for cell fractionation and transport.
A MATLAB algorithm is available for predicting cell trajectories, aiding further research and application.