A Bionic Sensing Platform for Cell Separation: Simulation of a Dielectrophoretic Microfluidic Device That Leverages...

Area of Science:

• Biomedical Engineering
• Cell Biology
• Oncology

Background:

• Circulating tumor cells (CTCs) are crucial biomarkers for cancer diagnosis and treatment monitoring.
• Effective separation of CTCs from blood is essential for timely oncological interventions.
• Dielectrophoresis (DEP) offers a promising label-free technique for cell separation based on dielectric properties.

Purpose of the Study:

• To develop and validate a novel DEP-based bionic system for isolating MDA-MB-231 breast cancer cells from white blood cells (WBCs).
• To achieve continuous, label-free separation of cancer cells with high efficiency and preserved cell viability.
• To investigate factors influencing separation efficiency in the DEP microfluidic device.

Main Methods:

• Design of a multi-stage DEP microfluidic device utilizing unique cellular dielectric fingerprints for separation.
• Implementation of three distinct separation stages to isolate specific cell types (MDA-MB-231, B-lymphocytes, Monocytes, Granulocytes).
• Computational analysis of electric potentials, velocity fields, pressure distributions, cellular DEP forces, and particle paths.

Main Results:

• The DEP system demonstrated a predicted separation efficiency of approximately 92% for cancer cells.
• The device successfully differentiates and separates various blood cell components, including cancer cells.
• Analysis identified key parameters like electrode potentials and channel width that impact separation efficiency.

Conclusions:

• The developed DEP bionic system provides a viable and efficient method for label-free isolation of CTCs.
• This technology holds potential for improving early cancer detection and personalized treatment strategies.
• Further investigation into optimizing operational parameters can enhance the system's performance for clinical applications.