Abstract:An analytical solution for dispersion of ionic and neutral solutes in nanoscale channels is presented. Results suggest that in the presence of relatively thick electrical double layers (EDLs) characteristic of nanofluidics, the dispersion of ionic solutes differs from that of neutral solutes on which previous theory is based. Ionic dispersion for circular cross-section channels is quantified as a function of a valance parameter, the relative EDL thickness, and the form of the velocity profile. Two unique mecha… Show more
“…It is important to note that for a given fluid and channel combination, z will, in general, vary with the nondimensional channel height K = kh. One option to address this is to use a surface-charge based potential parameter for scaling instead of zeta potential [13,16,17,32]. In this work and other studies [3, 4, 9-12, 15, 21, 26, 27, 33, 34], the zeta potential is used directly, as it may be readily determined through experiment and provides a direct measure of the electroosmotic mobility.…”
A thermo-electro-hydro-dynamic model is developed to analytically account for the effects of Stern layer conductance on electrokinetic energy conversion in nanofluidic channels. The optimum electrokinetic devices performance is dependent on a figure of merit, in which the Stern layer conductance appears as a nondimensional Dukhin number. Such surface conductance is found to significantly reduce the figure of merit and thus the efficiency and power output. This finding may explain why the recently measured electrokinetic devices performances are far below the theoretical predictions where the effects of Stern layer conductance have been ignored.
“…It is important to note that for a given fluid and channel combination, z will, in general, vary with the nondimensional channel height K = kh. One option to address this is to use a surface-charge based potential parameter for scaling instead of zeta potential [13,16,17,32]. In this work and other studies [3, 4, 9-12, 15, 21, 26, 27, 33, 34], the zeta potential is used directly, as it may be readily determined through experiment and provides a direct measure of the electroosmotic mobility.…”
A thermo-electro-hydro-dynamic model is developed to analytically account for the effects of Stern layer conductance on electrokinetic energy conversion in nanofluidic channels. The optimum electrokinetic devices performance is dependent on a figure of merit, in which the Stern layer conductance appears as a nondimensional Dukhin number. Such surface conductance is found to significantly reduce the figure of merit and thus the efficiency and power output. This finding may explain why the recently measured electrokinetic devices performances are far below the theoretical predictions where the effects of Stern layer conductance have been ignored.
“…Thus the corresponding components reduce to the same components of the diffusion tensor. If the tracers can explore the whole slit section, the dispersion factor can be expressed as [12] f (αL, q) = − (10b) where the deviation from the average velocity g q (ξ) = [u y (ξ) + βDqE y − v y,q ]/u ref depends on both the charge q of the tracer and αL via the local velocity u y .…”
We report a lattice-Boltzmann scheme to compute the dispersion of charged tracers in charged porous media under the combined effect of advection, diffusion and electro-migration. To this end, we extend the moment propagation approach, introduced to study the dispersion of neutral tracers (Lowe C. and Frenkel D., Phys. Rev. Lett., 77 (1996) 4552), to include the effect of electrostatic forces. This method allows us to compute the velocity autocorrelation function of the charged tracers with high accuracy. The algorithm is validated studying the dispersion coefficient in the case of electro-osmotic flow in a slit without added salt. We find excellent agreement between the numerical and analytical results. This method also provides the full time dependence of the diffusion coefficient, including for charged tracers. We illustrate on the slit case how D(t), which is measured by NMR to probe the geometry of porous media, reflects how the porosity explored by tracers depends on their charge.
“…However, in a microfluidic chip, Joule heating is not a major source of dispersion because of the large channel surface-tovolume ratio [23]. Dispersion due to extended double-layers can be very high in a nanofluidic application [20], but its contribution will be negligible in the case of a microfluidic channel (10-100 mm) [18]. However, dispersion due to complex channel shapes is very important in all devices, especially in an integrated lab-on-a-chip device because multi-dimensional separations require complex geometries.…”
Section: Introductionmentioning
confidence: 99%
“…The primary sources of solute band dispersions are Joule heating [19], extended electric double-layers [20] and complex channel shapes such as dog legs [15] or cross-channels [12]. In a traditional, large-scale separation, Joule heating effect cannot be neglected because high voltages induce nonuniform temperature in a separation channel [21,22].…”
Ampholyte-based IEF is simulated for a 2-D horseshoe microchannel. The IEF model takes into account ionic-strength-dependent mobility corrections for both proteins and ampholytes. The Debye-Huckel-Henry model is employed to correct the protein mobilities and the Onsager-Debye-Huckel model is used to obtain effective mobilities of ampholytes from their limiting mobility. IEF simulations are conducted in the presence of 25 ampholytes (DeltapK=3.0) within a pH range of 6-9 under an electric field of 300 V/cm and using four proteins (pIs=6.49, 7.1, 7.93 and 8.6) focused in a 1-cm-long microchannel. The numerical results show that the concentrations of proteins and ampholytes are different when mobility corrections are considered but that the focusing positions remain the same regardless of mobility corrections. Our results also demonstrate that, unlike linear electrophoresis in which the bands deform significantly as they traverse a bend, during the transient portion of IEF racecourse dispersion is mitigated by focusing and, at focused-state, those bands that focus in the bend show no radial concentration dependence, i.e. they completely recover from racecourse dispersion, even within a tight turn.
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