Active microrheology in corrugated channels: comparison of thermal and colloidal baths

TL;DR

This study compares active microrheology of colloidal suspensions in corrugated channels using thermal and colloidal baths, revealing how confinement influences transport properties with mild dependence on bath type.

Contribution

It introduces a semi-analytical model that accurately predicts transport behavior in confined colloidal systems under mild external forces.

Findings

Friction coefficient increases with channel corrugation.

Passage time distribution widens with more corrugation.

Model reliably predicts transport for mild external forces.

Abstract

The dynamics of colloidal suspension confined within porous materials strongly differs from that in the bulk. In particular, within porous materials, the presence of boundaries with complex shapes entangles the longitudinal and transverse degrees of freedom inducing a coupling between the transport of the suspension and the density inhomogeneities induced by the walls. Colloidal suspension confined within model porous media are characterized by means of active microrheology where a net force is applied on a single colloid (tracer particle) whose transport properties are then studied. The trajectories provided by active microrheology are exploited to determine the local transport coefficients. In order to asses the role of the colloid-colloid interactions we compare the case of a tracer embedded in a colloidal suspension to the case of a tracer suspended in an ideal bath. Our results show that the friction coefficient increases and the passage time distribution widens upon increasing the corrugation of the channel. These features are obtained for a tracer suspended in a (thermalized) colloidal bath as well as for the case of an ideal thermal bath. These results highlight the relevance of the confinement on the transport and show a mild dependence on the colloidal/thermal bath. Finally, we rationalize our numerical results with a semi-analytical model. Interestingly, the predictions of the model are quantitatively reliable for mild external forces, hence providing a reliable tool for predicting the transport across porous materials.