Numerical study on a facing electrode configuration dielectrophoresis microfluidic system for efficient biological cell separation

Circulating tumor cell separation has been the focus of numerous studies owing to its importance in the diagnosis, prognosis, and therapy of cancer. This study reports a highly efficient microfluidic device that integrates a specialized dielectrophoresis configuration, namely the facing-electrode configuration dielectrophoresis (FEC-DEP) structure, to isolate circulating tumor cells (CTCs) from various blood components, including red blood cells, white blood cells, and platelets. The FEC-DEP design features a bottom-slanted electrode array positioned parallel to a basic rectangular top electrode. A non-homogeneous electric field is produced between these parallel electrodes, generating dielectrophoretic forces acting on cells. Consequently, when the FEC-DEP is integrated into a flow, it can direct various biological objects in the flow along separate trajectories. As a result, cells with comparable characteristics might move together within a similar path. This configuration may simplify the microfabrication process and lessen dependency on particle position within the microchannel. The separation process was numerically analyzed using the finite element method, and device parameters were optimized to obtain high-efficiency and high-purity cell separation. The simulations show that the microfluidic device may effectively enrich tumor cells in a label-free and non-invasive manner, with a high-efficiency rate of almost 80%.

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Publication Details

Journal
Scientific Reports
Published
2024-11-11
DOI
https://doi.org/10.1038/s41598-024-78722-7
Citations
9
Primary Topic
Microfluidic and Bio-sensing Technologies
Type
article
Field-Weighted Citation Impact
1.66

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article

Numerical study on a facing electrode configuration dielectrophoresis microfluidic system for efficient biological cell separation

Thanh Tung Bui, Thu Hang Nguyen, Mai Chi Nguyen, Jens Ducrée et al.
9 citations
Scientific Reports
Microfluidic and Bio-sensing Technologies
1.66
article

Numerical study on a facing electrode configuration dielectrophoresis microfluidic system for efficient biological cell separation

Thanh Tung Bui, Thu Hang Nguyen, Mai Chi Nguyen, Jens Ducrée, Hang Bui Thu, Loc Do Quang, Nam Ngo, Trinh Chu Duc, Hoang Trung Nguyen
article en
9 citations

Abstract

Circulating tumor cell separation has been the focus of numerous studies owing to its importance in the diagnosis, prognosis, and therapy of cancer. This study reports a highly efficient microfluidic device that integrates a specialized dielectrophoresis configuration, namely the facing-electrode configuration dielectrophoresis (FEC-DEP) structure, to isolate circulating tumor cells (CTCs) from various blood components, including red blood cells, white blood cells, and platelets. The FEC-DEP design features a bottom-slanted electrode array positioned parallel to a basic rectangular top electrode. A non-homogeneous electric field is produced between these parallel electrodes, generating dielectrophoretic forces acting on cells. Consequently, when the FEC-DEP is integrated into a flow, it can direct various biological objects in the flow along separate trajectories. As a result, cells with comparable characteristics might move together within a similar path. This configuration may simplify the microfabrication process and lessen dependency on particle position within the microchannel. The separation process was numerically analyzed using the finite element method, and device parameters were optimized to obtain high-efficiency and high-purity cell separation. The simulations show that the microfluidic device may effectively enrich tumor cells in a label-free and non-invasive manner, with a high-efficiency rate of almost 80%.

Scientific ReportsVol. 14(1)
Vietnam National University, Hanoi (VN), Babeș-Bolyai University (RO), Dublin City University (IE)
Tập đoàn Vingroup - Công ty CP, Quỹ Đổi mới sáng tạo Vingroup
Openalex Percentile: Top 17%
Microfluidic and Bio-sensing Technologies
1.66
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