Confinement effects on the dynamics of a rigid particle in a nanochannel

Gubbiotti, Alberto; Chinappi, Mauro; Casciola, Carlo Massimo

doi:10.1103/physreve.100.053307

Cited by 23 publications

(18 citation statements)

References 42 publications

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“…Including these effects, again, would necessarily call for numerical approaches based, for instance, on Brownian dynamics model with proper formulations to take into account the inhomogeneity of the diffusion coefficient. 64 , 65 …”

Section: Discussionmentioning

confidence: 99%

Analytical Model for Particle Capture in Nanopores Elucidates Competition among Electrophoresis, Electroosmosis, and Dielectrophoresis

et al. 2020

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The interaction between nanoparticles dispersed in a fluid and nanopores is governed by the interplay of hydrodynamical, electrical, and chemical effects. We developed a theory for particle capture in nanopores and derived analytical expressions for the capture rate under the concurrent action of electrical forces, fluid advection, and Brownian motion. Our approach naturally splits the average capture time in two terms, an approaching time due to the migration of particles from the bulk to the pore mouth and an entrance time associated with a free-energy barrier at the pore entrance. Within this theoretical framework, we described the standard experimental condition where a particle concentration is driven into the pore by an applied voltage, with specific focus on different capture mechanisms: under pure electrophoretic force, in the presence of a competition between electrophoresis and electroosmosis, and finally under dielectrophoretic reorientation of dipolar particles. Our theory predicts that dielectrophoresis is able to induce capture for both positive and negative voltages. We performed a dedicated experiment involving a biological nanopore (α-hemolysin) and a rigid dipolar dumbbell (realized with a β-hairpin peptide) that confirms the theoretically proposed capture mechanism.

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Section: Discussionmentioning

confidence: 99%

Analytical Model for Particle Capture in Nanopores Elucidates Competition among Electrophoresis, Electroosmosis, and Dielectrophoresis

et al. 2020

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“…The first layer, in direct contact with the fluid, has a particle number density of ρ 1 = 3, while the second layer, also of width 1, has a particle number density of ρ 2 = 6. In a previous work [53], we showed that, in the DPD context, walls constituted by fixed random particles of variable density are suitable to guarantee impermeability and a low slip while controlling density fluctuations due to fluid layering. A similar model was employed here the main difference being that now the wall is constituted by two layers with different densities.…”

Section: B Electroosmotic Flowmentioning

confidence: 99%

“…The trajectories obtained from the integration of the Langevin Equation ( 15) can be equivalently described as the evolution of a probability distribution for the state variables y obeying a Fokker-Planck equation [52,53]. With the definitions ( 16)-( 19) the Fokker-Planck equation associated with Eq.…”

Section: Equilibrium Distribution and Fluctuation Dissipation Relatio...mentioning

confidence: 99%

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EH-DPD: a Dissipative Particle Dynamics approach to Electro-Hydrodynamics

Gubbiotti¹,

Chinappi²,

Casciola³

2022

Preprint

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“…Le particelle più piccole di 0,3 µm possiedono infatti un moto browniano che le rende facilmente filtrabili grazie alla loro interazione non lineare con le molecole nell'aria. Tutto ciò fa sì che un filtro efficiente per 0,3 µm generalmente si traduca in un'alta efficienza filtrante anche per le particelle al di sotto di questa grandezza [29] . Secondo alcuni ricercatori, la grandezza di 0,3 µm è quel valore borderline fra un normale movimento li-neare e un movimento browniano e quindi questa dimensione è quella più difficile da catturare nei filtri [30] .…”

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