Dissipative particle dynamics for modeling micro-objects in microfluidics: application to dielectrophoresis

Waheed, Waqas; Alazzam, Anas; Al-Khateeb, Ashraf N.; Abu‐Nada, Eiyad

doi:10.1007/s10237-019-01216-3

Cited by 12 publications

(6 citation statements)

References 49 publications

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“…Initial studies in this regard have focused on microfluidic platforms for cell trapping and rotation-based analyses, including rolling-based rotation of single cells and electrokinetic approaches for the rotation of cell clusters [94]. The Dissipative Particle Dynamics (DPD) method has been used for the simulation of particle trajectories in microchannels, including the prediction of the RBC trajectories in the presence of dielectrophoretic force [133]. In general, RBCs have been found to move towards high electric field gradients and undergo morphological deformation in certain conditions under the influence of dielectrophoretic forces [134].…”

Section: Rbc Dielectrophoretic Analysismentioning

confidence: 99%

Advances in Microfluidics for Single Red Blood Cell Analysis

et al. 2023

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The utilizations of microfluidic chips for single RBC (red blood cell) studies have attracted great interests in recent years to filter, trap, analyze, and release single erythrocytes for various applications. Researchers in this field have highlighted the vast potential in developing micro devices for industrial and academia usages, including lab-on-a-chip and organ-on-a-chip systems. This article critically reviews the current state-of-the-art and recent advances of microfluidics for single RBC analyses, including integrated sensors and microfluidic platforms for microscopic/tomographic/spectroscopic single RBC analyses, trapping arrays (including bifurcating channels), dielectrophoretic and agglutination/aggregation studies, as well as clinical implications covering cancer, sepsis, prenatal, and Sickle Cell diseases. Microfluidics based RBC microarrays, sorting/counting and trapping techniques (including acoustic, dielectrophoretic, hydrodynamic, magnetic, and optical techniques) are also reviewed. Lastly, organs on chips, multi-organ chips, and drug discovery involving single RBC are described. The limitations and drawbacks of each technology are addressed and future prospects are discussed.

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Section: Rbc Dielectrophoretic Analysismentioning

confidence: 99%

Advances in Microfluidics for Single Red Blood Cell Analysis

et al. 2023

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“…The previously developed in-house FORTAN code to model the 2D fluid flow at low Re in a confined geometry is extended to trace microparticles driven by several external forces. , A computational domain is defined followed by the initialization of the parameters, such as the DPD force strength coefficients, number density, time step, equilibrium temperature, and the total number of iterations. To speed up computation time, a commonly used link-list approach is implemented .…”

Section: Mathematical Modelingmentioning

confidence: 99%

“…In the first step, we computed the viscosity of the DPD fluid by generating a Poiseuille flow using our DPD code and matching the DPD flow profile with the analytical solution of Hagen–Poiseuille flow profile. The details of the approach are mentioned somewhere else by authors. , By use of the input DPD parameters listed in Table , the resulting average velocity of the DPD fluid flow u max was 0.0852 and the dynamic viscosity (μ) was computed to be 300.8. Therefore, the kinematic viscosity (ν = μ/ρ) of the DPD fluid is 75.2 and the Re of the flow is 0.012.…”

Section: Validation and Verificationmentioning

confidence: 99%

“…An electrical conductivity of 150 μS/cm for the buffer medium is retained throughout all the experiments. 35,66 A computational domain is defined followed by the initialization of the parameters, such as the DPD force strength coefficients, number density, time step, equilibrium temperature, and the total number of iterations. To speed up computation time, a commonly used link-list approach is implemented.…”

Section: Device Fabrication and Sample Preparationmentioning

confidence: 99%

“…The details of the approach are mentioned somewhere else by authors. 35,66 By use of the input DPD parameters listed in Table 1, the resulting average velocity of the DPD fluid flow u max was 0.0852 and the dynamic viscosity (μ) was computed to be 300.8. Therefore, the kinematic viscosity (ν = μ/ρ) of the DPD fluid is 75.2 and the Re of the flow is 0.012.…”

Section: Validation and Verificationmentioning

confidence: 99%

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Multiple Particle Manipulation under Dielectrophoresis Effect: Modeling and Experiments

et al. 2020

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The dissipative particle dynamics (DPD) technique was employed to design multiple microfluidic devices for investigating the motion of bioparticles at low Reynolds numbers. A DPD in-house FORTRAN code was developed to simulate the trajectories of two microparticles in the presence of hydrodynamic and transverse deflecting force fields via considering interparticle interaction forces. The particle−particle interactions were described by using a simplified version of the Morse potential. The transverse deflecting force considered in this microfluidic application was the dielectrophoresis (DEP) force. Multiple microfluidic devices with different configurations of microelectrodes were numerically designed to investigate the dielectrophoretic behavior of bioparticles for their trajectories and the focusing of bioparticles into a single stream in the middle of the microchannel. The DPD simulation results were verified and validated against previously reported numerical and experimental works in the literature. The computationally designed microdevices were fabricated by employing standard lithographic techniques, and experiments were conducted via taking red blood cells as the representative bioparticles. The experimental results for the trajectories and focusing showed good agreement with the numerical results.

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