Regulation Method of Induced-Charge Electro-Osmosis Based on Superposition Effect of Dual Electric Fields

doi:10.12068/j.issn.1005-3026.2024.08.001

Abstract

Abstract:

In order to extract pure cell populations from multiple cell populations or to extract the required components from complex samples， a novel regulation method of induced?charge electro?osmotic （ICEO） is proposed， based on the superposition effect of dual electric fields， to study the remodeling mechanism of the ICEO vortex and its particle control performance. Firstly， a multi?physical coupling simulation model is established and the asymmetric evolution mechanism is studied. Secondly， the particle control device is designed and processed， and the particle control experimental system is built. Then， the aggregation and longitudinal migration characteristics of single particle induced by asymmetrically ICEO vortices at different voltages are studied. Finally， aggregation and separation characteristics of various particles within the asymmetric ICEO vortices are explored. The results show that this method can achieve the aggregation， migration and separation of micro?scale particles in a simple control way， and it has great application potential in the field of environmental detection and disease diagnosis.

Key words: induced?charge electro?osmosis（ICEO）, bipolar electrode, particle aggregation, particle separation, microfluidic device

CLC Number:

R 331.3

Xiao-ming CHEN, Mo SHEN, Sun LIU, Yong ZHAO. Regulation Method of Induced-Charge Electro-Osmosis Based on Superposition Effect of Dual Electric Fields[J]. Journal of Northeastern University(Natural Science), 2024, 45(8): 1065-1072.

Figures/Tables 13

Fig. 1 Formation mechanism of induced?charge electro?osmosis （ICEO） vortex based on superposition effect of dual electric fields（a）—单电场作用下双电层形成；（b）—单电场作用下对称漩涡；（c）—双电场作用下双电层形成；（d）—双电场作用下非对称漩涡的Clausius-Mossotti因子［24-25］.

Fig. 2 Schematic of particle control device

Fig. 3 Photograph of particle control device

Fig. 4 Experimental system of particle control

Fig. 5 Potential distribution under different electric fields

Fig. 6 Upstream ICEO vortex distribution at different cross sections in Fig.5

Fig. 7 Downstream ICEO vortex distribution

Fig. 8 Flow rate at different cross sections in Fig.7

Fig. 9 Flow rate under different voltages

Fig. 10 Particle tracking trajectory diagram

Fig. 11 Photos of aggregation and deflection characteristics of silica particles

Fig. 12 Photos of aggregation and separation of silica particles and PMMA particles

Fig. 13 Photos of aggregation and separation of silica particles and yeast cells

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