Diffusiophoresis and diffusioosmosis in tandem: Two-dimensional particle motion in the presence of multiple electrolytes

Alessio, Benjamin M.; Shim, Suin; Mintah, Emmanuel; Gupta, Ankur; Stone, Howard A.

doi:10.1103/physrevfluids.6.054201

Cited by 29 publications

(52 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In our previous article, we demonstrated that particle motion due to diffusiophoresis and a diffusioosmotic-slip-driven flow field that neglects the smallest dimension of the pore does predict a non-zero dispersion of colloids (Alessio et al. 2021). Physically, diffusioosmosis along the sidewalls creates a flow structure that stretches the particle distribution along the pore, and generates an apparent motion of particles that is analogous to Taylor dispersion (Taylor 1953; Aris 1956; Doshi, Daiya & Gill 1978; Stone & Brenner 1999; Aminian et al.…”

Section: Introductionmentioning

confidence: 99%

“…2020; Alessio et al. 2021). In our previous article, we demonstrated that particle motion due to diffusiophoresis and a diffusioosmotic-slip-driven flow field that neglects the smallest dimension of the pore does predict a non-zero dispersion of colloids (Alessio et al.…”

Section: Introductionmentioning

confidence: 99%

“…2020; Alessio et al. 2021), a dead-end pore configuration is used to set up a transient one-dimensional (1-D) diffusion of solutes; significant colloidal dispersion is observed, which the typical models are unable to capture. In addition to the dead-end pore geometry, experimental data in other microfluidic configurations have been reported in which colloidal dispersion can be observed but remains unexplained quantitatively (Abécassis et al.…”

Section: Introductionmentioning

confidence: 99%

“…In this case, the definition of the cross-sectional average from becomes and becomes where the -direction fluid velocity is, defining , We note that the form of the fluid velocity in a channel is well known for the case of pressure-driven flow, and for our case of slip-driven flow, the form of the velocity is identical upon transforming from the frame of the mean flow speed to the frame of the slip velocity (Alessio et al. 2021). Equation becomes where .…”

mentioning

confidence: 99%

“…The definition of the cross-sectional average from becomes and reduces to where the -direction fluid velocity is (Alessio et al. 2021) Equation (3.11 c ) becomes where . We integrate , apply the no-flux condition and require that to obtain from which we calculate We note that this is the standard coefficient for a channel flow with dispersion proportional to the square of the mean velocity.…”

mentioning

confidence: 99%

See 4 more Smart Citations

Diffusioosmosis-driven dispersion of colloids: a Taylor dispersion analysis with experimental validation

et al. 2022

Self Cite

View full text Add to dashboard Cite

Diffusiophoresis refers to the movement of colloidal particles in the presence of a concentration gradient of a solute and enables directed motion of colloidal particles in geometries that are inaccessible, such as dead-end pores, without imposing an external field. Previous experimental reports on dead-end pore geometries show that, even in the absence of mean flow, colloidal particles moving through diffusiophoresis exhibit significant dispersion. Existing models of diffusiophoresis are not able to predict the dispersion and thus the comparison between the experiments and the models is largely qualitative. To address these quantitative differences between the experiments and models, we derive an effective one-dimensional equation, similar to a Taylor dispersion analysis, that accounts for the dispersion created by diffusioosmotic flow from the channel sidewalls. We derive the effective dispersion coefficient and validate our results by comparing them with direct numerical simulations. We also compare our model with experiments and obtain quantitative agreement for a wide range of colloidal particle sizes. Our analysis reveals two important conclusions. First, in the absence of mean flow, dispersion is driven by the flow created by diffusioosmotic wall slip such that spreading can be reduced by decreasing the channel wall diffusioosmotic mobility. Second, the model can explain the spreading of colloids in a dead-end pore for a wide range of particle sizes. We note that, while the analysis presented here focuses on a dead-end pore geometry with no mean flow, our theoretical framework is general and can be adapted to other geometries and other background flows.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

See 3 more Smart Citations

Diffusioosmosis-driven dispersion of colloids: a Taylor dispersion analysis with experimental validation

et al. 2022

Self Cite

View full text Add to dashboard Cite

show abstract

Non‐monotonic salt concentration dependence of inverted electrokinetic flow

Agrawal,

Wang

2023

AIChE Journal

View full text Add to dashboard Cite

Modeling of electrokinetic flows is crucial to understand numerous phenomena associated with electrochemistry, biophysics, and colloidal science. Here, we incorporate the modified Gaussian renormalized fluctuation theory into transport equations for electrolyte solutions to study the ion‐correlation‐induced inversion of electrokinetic flows, also known as charge inversion. We are able to capture the non‐monotonic dependence of inverted streaming current and reversed electrophoretic mobility on salt concentration. By analyzing the double‐layer structure, we elucidate that this non‐monotonicity is a consequence of the competition between spatially varying ion correlations and the translational entropy of the ions. We find that for practical values of surface charge densities, the excluded volume effect does not play any significant role. In a significant improvement over existing theories, our theoretical predictions are in quantitative agreement with experimental measurements for charge inversion in trivalent salts.

show abstract

The role of variable zeta potential on diffusiophoretic and diffusioosmotic transport

Lee

Ault

2023

Colloids and Surfaces A: Physicochemical and Engineering Aspect

View full text Add to dashboard Cite

Diffusiophoresis and diffusioosmosis in tandem: Two-dimensional particle motion in the presence of multiple electrolytes

Cited by 29 publications

References 36 publications

Diffusioosmosis-driven dispersion of colloids: a Taylor dispersion analysis with experimental validation

Diffusioosmosis-driven dispersion of colloids: a Taylor dispersion analysis with experimental validation

Non‐monotonic salt concentration dependence of inverted electrokinetic flow

The role of variable zeta potential on diffusiophoretic and diffusioosmotic transport

Contact Info

Product

Resources

About