Three-dimensional analyses of cells’ positioning on the quadrupole-electrode microfluid chip considering the coupling effect of nDEP, ACEO, and ETF

Ji, Jianlong; Zhang, Jingjing; Wang, Jingxiao; Huang, Qing; Jiang, Xiaoning; Zhang, Wendong; Sang, Shengbo; Guo, Xiaoliang; Li, Shanshan

doi:10.1016/j.bios.2020.112398

Cited by 4 publications

(2 citation statements)

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“…A promising solution is applying machine learning techniques to accelerate the simulation process by replacing the FEA simulation kernel [25][26][27]. Among all machine learning techniques, artificial neural networks (ANNs) play an important role in highly complex particle trajectory analyses [28,29]. Briefly, an ANN is based on a collection of connected units or nodes called artificial neurons, which loosely model the neurons in a biological brain.…”

Section: Introductionmentioning

confidence: 99%

ANN-Based Instantaneous Simulation of Particle Trajectories in Microfluidics

et al. 2022

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Microfluidics has shown great potential in cell analysis, where the flowing path in the microfluidic device is important for the final study results. However, the design process is time-consuming and labor-intensive. Therefore, we proposed an ANN method with three dense layers to analyze particle trajectories at the critical intersections and then put them together with the particle trajectories in straight channels. The results showed that the ANN prediction results are highly consistent with COMSOL simulation results, indicating the applicability of the proposed ANN method. In addition, this method not only shortened the simulation time but also lowered the computational expense, providing a useful tool for researchers who want to receive instant simulation results of particle trajectories.

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Section: Introductionmentioning

confidence: 99%

ANN-Based Instantaneous Simulation of Particle Trajectories in Microfluidics

et al. 2022

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“…For instance, when tackling new samples, these devices may need troublesome and time-consuming redesign and fabrication . To circumvent these limitations, many active vortex-based technologies have been developed. , Acoustic vortices have been implemented in separation of nanoparticles and cells, but this technique involves complicated fabrication and expensive components . Despite the pervasive use of optical vortices for collective motion of samples, this technique tremendously relies on the high-performance lasers and numerical aperture objectives .…”

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confidence: 99%

Characterization of Particle Movement and High-Resolution Separation of Microalgal Cells via Induced-Charge Electroosmotic Advective Spiral Flow

et al. 2020

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Microalgae are renewable, sustainable, and economical sources of biofuels and are capable of addressing pressing global demand for energy security. However, two challenging issues to produce high-level biofuels are to separate promising algal strains and protect biofuels from contamination of undesired bacteria, which rely on an economical and high-resolution separation technology. Separation technology based on induced-charge electroosmotic (ICEO) vortices offers excellent promise in economical microalga separation for producing biofuels because of its reconfigurable and flexible profiles and sensitive and precise selectivity. In this work, a practical ICEO vortex device is developed to facilitate high-resolution isolation of rich-lipid microalgae for the first time. We investigate electrokinetic equilibrium states of particles and particle-fluid ICEO effect in binary-particle manipulation. Nanoparticle separation is performed to demonstrate the feasibility and resolution of this device, yielding clear separation. Afterward, we leverage this technology in isolation of Chlorella vulgaris from heterogeneous microalgae with the purity exceeding 96.4%. Besides, this platform is successfully engineered for the extraction of single-cell Oocystis sp., obtaining the purity surpassing 95.2%. Moreover, with modulating parameters, we isolate desired-cell-number Oocystis sp. enabling us to investigate proliferation mode and carry out transcriptome analyses of Oocystis sp. for high-quality neutral lipids. This platform can be extended directly to economically separate other biological micro/nanosamples to address pressing issues, involving energy security, environmental monitoring, and disease diagnosis.

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Dielectrophoresis: Measurement technologies and auxiliary sensing applications

Hu,

Ji,

Chen

et al. 2024

Electrophoresis

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Dielectrophoresis (DEP), which arises from the interaction between dielectric particles and an aqueous solution in a nonuniform electric field, contributes to the manipulation of nano and microparticles in many fields, including colloid physics, analytical chemistry, molecular biology, clinical medicine, and pharmaceutics. The measurement of the DEP force could provide a more complete solution for verifying current classical DEP theories. This review reports various imaging, fluidic, optical, and mechanical approaches for measuring the DEP forces at different amplitudes and frequencies. The integration of DEP technology into sensors enables fast response, high sensitivity, precise discrimination, and label‐free detection of proteins, bacteria, colloidal particles, and cells. Therefore, this review provides an in‐depth overview of DEP‐based fabrication and measurements. Depending on the measurement requirements, DEP manipulation can be classified into assistance and integration approaches to improve sensor performance. To this end, an overview is dedicated to developing the concept of trapping‐on‐sensing, improving its structure and performance, and realizing fully DEP‐assisted lab‐on‐a‐chip systems.

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Three-dimensional analyses of cells’ positioning on the quadrupole-electrode microfluid chip considering the coupling effect of nDEP, ACEO, and ETF

Cited by 4 publications

References 38 publications

ANN-Based Instantaneous Simulation of Particle Trajectories in Microfluidics

ANN-Based Instantaneous Simulation of Particle Trajectories in Microfluidics

Characterization of Particle Movement and High-Resolution Separation of Microalgal Cells via Induced-Charge Electroosmotic Advective Spiral Flow

Dielectrophoresis: Measurement technologies and auxiliary sensing applications

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