Characterization of the Additional Pseudo‐Crossover Frequency of Nanoparticles in Low Frequency Dielectrophoresis Regime

Dielectrophoresis (DEP) is a powerful tool for manipulating particles using non-uniform electric fields. This study combines numerical simulations and experiments to investigate crossover frequencies (COFs) for micro- and nanoparticles in a 3D microfluidic device with circular traps. MATLAB simulations revealed an inverse relationship between particle size and COF. For microparticles with diameters of 1.03, 2.27, 4.42, and 6.83 µm, the COFs were calculated as 769.10, 352.76, 183.96, and 120.51 kHz, respectively. For nanoparticles measuring 50, 170, and 500 nm, the corresponding COFs were 15.6, 4.62, and 1.57 MHz. These results closely matched experimental data. Notably, additional low-frequency pseudo-COFs emerged in experiments for nanoparticles ranging from 2 to 8 kHz (50 nm), 10 to 50 kHz (170 nm), and 40 to 100 kHz (500 nm). These frequencies proportionally increased with nanoparticle size and corresponded to unexpected negative DEP (nDEP)-like behavior under positive DEP (pDEP) conditions. This effect is attributed to low-frequency alternating current electroosmosis (ACEO), which dominates the DEP response of the nanoparticles smaller than 1 µm. These findings demonstrate strong agreement between numerical simulations and experimental results while also revealing the limitations of traditional models in predicting nanoparticle behavior under DEP. We expect that these results can also be applied to the manipulation of various bioparticles.

Authors

Institutions

Publication Details

Journal
Electrophoresis
Published
2025-11-23
DOI
https://doi.org/10.1002/elps.70058
Primary Topic
Microfluidic and Bio-sensing Technologies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Characterization of the Additional Pseudo‐Crossover Frequency of Nanoparticles in Low Frequency Dielectrophoresis Regime

Tae Joon Kwak, Yong‐Soo Choi, Woojin Chang, Mohammad Rizwen Ur Rahman et al.
Electrophoresis
Microfluidic and Bio-sensing Technologies
article

Characterization of the Additional Pseudo‐Crossover Frequency of Nanoparticles in Low Frequency Dielectrophoresis Regime

Tae Joon Kwak, Yong‐Soo Choi, Woojin Chang, Mohammad Rizwen Ur Rahman, Seungyeop Choi, Chang‐Koo Yun, Sang Woo Lee, Khaled S. Qananba
article en

Abstract

Dielectrophoresis (DEP) is a powerful tool for manipulating particles using non-uniform electric fields. This study combines numerical simulations and experiments to investigate crossover frequencies (COFs) for micro- and nanoparticles in a 3D microfluidic device with circular traps. MATLAB simulations revealed an inverse relationship between particle size and COF. For microparticles with diameters of 1.03, 2.27, 4.42, and 6.83 µm, the COFs were calculated as 769.10, 352.76, 183.96, and 120.51 kHz, respectively. For nanoparticles measuring 50, 170, and 500 nm, the corresponding COFs were 15.6, 4.62, and 1.57 MHz. These results closely matched experimental data. Notably, additional low-frequency pseudo-COFs emerged in experiments for nanoparticles ranging from 2 to 8 kHz (50 nm), 10 to 50 kHz (170 nm), and 40 to 100 kHz (500 nm). These frequencies proportionally increased with nanoparticle size and corresponded to unexpected negative DEP (nDEP)-like behavior under positive DEP (pDEP) conditions. This effect is attributed to low-frequency alternating current electroosmosis (ACEO), which dominates the DEP response of the nanoparticles smaller than 1 µm. These findings demonstrate strong agreement between numerical simulations and experimental results while also revealing the limitations of traditional models in predicting nanoparticle behavior under DEP. We expect that these results can also be applied to the manipulation of various bioparticles.

ElectrophoresisVol. 47(1)
Yonsei University (KR), Korea University (KR), CHA University (KR), University of Wisconsin–Milwaukee (US)
National Science Foundation
Openalex Percentile: Top 65%
Microfluidic and Bio-sensing Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.