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Effects of electrostatic correlations and ion–solvent interactions of finite-sized ions on the electrophoresis of a soft particle

Published online by Cambridge University Press:  06 March 2025

Bapan Mondal
Affiliation:
Department of Mathematics, Indian Institute of Technology Kharagpur, Kharagpur 721302, West Bengal, India
Somnath Bhattacharyya*
Affiliation:
Department of Mathematics, Indian Institute of Technology Kharagpur, Kharagpur 721302, West Bengal, India
*
Corresponding author: Somnath Bhattacharyya, somnath@maths.iitkgp.ac.in

Abstract

A numerical study supplemented with theoretical analysis is made, to analyse the electrophoresis of highly charged soft particles in electrolytes with trivalent counterions. The electrokinetic model is devised under the continuum hypothesis, which incorporates the ion–ion electrostatic correlations, hydrodynamic steric interactions of finite sized ions and ion–solvent interactions. The governing equations for ion transport and electric field are derived from the volumetric free energy of the system, which includes the first-order correction for the non-local electrostatic correlations of interacting ions, excess electrochemical potential due to finite ion size as well as the Born energy difference of ions due to dielectric permittivity variation. The electrolyte viscosity is considered to be a function of the local volume fraction of finite-sized ions, which causes the diffusivity of ions to vary locally. The occurrence of mobility reversal of a soft particle having the same polarity of its core and soft shell charge and formation of a coion-dominated zone in the soft layer is elaborated through this study. This can explain the mechanisms for the attraction between like-charged soft particles, as seen in the condensation of DNAs. The impact of ion–ion correlations and ion–solvent interactions of finite-sized ions are analysed by comparing them with the results based on the standard model. At a higher range of the core charge density, the ion–ion correlations induce a condensed layer of counterions on the outer surface of the core, which draws coions in the electric double layer, leading to an inversion in polarity of the charge density and mobility reversal. The dielectric decrement and ion steric interactions create a saturation in ion distribution and hence, modify the condensed layer of counterions. The enhanced fixed charge density of the polyelectrolyte layer diminishes the ion correlations due to the stronger screening effects and prevents the formation of a coion dominated zone in the Debye layer. The impact of the counterion size and the mixture of monovalent and trivalent counterions on mobility is analysed.

Type
JFM Papers
Copyright
© The Author(s), 2025. Published by Cambridge University Press

1. Introduction

Nanofluidics has established itself as a new field in fluid mechanics (Kavokine et al. Reference Kavokine, Netz and Bocquet2021), which involves the electrokinetic transport phenomena linked with the movement of an ionized solution near a charged interface. Electrophoresis is one of the electrokinetic phenomena which refers to the propulsion of charged macromolecules or particles under the action of an electric field in an aqueous medium. Analysing the electrophoresis involves modelling the transport of ionized fluid, governed by the modified Navier–Stokes or Stokes equation coupled with the distribution of ions and electric field. Over the years, several theories on electrophoresis have been developed by the fluid dynamics community to illustrate its dependence on the physical parameters, such as the strength of the applied field, $\zeta$ -potential, particle size, dielectric polarization of the particle and the ionic concentration of the suspension medium (Anderson Reference Anderson1989; Sawatzky & Babchin Reference Sawatzky and Babchin1993; Saville Reference Saville1997; Khair & Squires Reference Khair and Squires2009; Schnitzer et al. Reference Schnitzer, Frankel and Yariv2014; Schnitzer & Yariv Reference Schnitzer and Yariv2015, Reference Schnitzer and Yariv2012; Li & Koch Reference Li and Koch2020; Cobos & Khair Reference Cobos and Khair2023; Ganguly et al. Reference Ganguly, Roychowdhury and Gupta2024).

Electrokinetic manipulation of soft particles, composed of a charged hard core coated with a polyelectrolyte layer (PEL), is an important topic of study in the paradigm of DNA, RNA, bacteria, biomacromolecules and several microorganisms (Duval & Gaboriaud Reference Duval and Gaboriaud2010; Nguyen et al. Reference Nguyen, Easter, Gutierrez, Huyett, Defnet, Mylon, Ferri and Viet2011; Šiber et al. Reference Šiber, Božič and Podgornik2012). When the soft particle is suspended in an aqueous medium, the dissociable functional groups in the PEL ionize to create a fixed volumetric charge density. The ion and fluid penetrable PEL is characterized by the fixed volumetric charge density and screening length, which determines the permeability of the polymer segment. The hydrodynamics within the PEL can be modelled as an effective porous medium. This PEL fixed charge density and screening length has a significant effect on the electrophoresis of the soft particle (Saville Reference Saville2000; Ohshima Reference Ohshima2013; Duval et al. Reference Duval, Werner and Zimmermann2016). Condensation of DNA occurs in trivalent or tetravalent counterions, in which like-charged DNA can experience an attractive force (Quesada-Pérez et al. Reference Quesada-Pérez, González-Tovar, Martín-Molina, Lozada-Cassou and Hidalgo-A Ivarez2005). Several authors (Luan & Aksimentiev Reference Luan and Aksimentiev2010; Yang et al. Reference Yang, Buyukdagli, Scacchi, Sammalkorpi and Ala-Nissila2023) considered the DNA as a polyelectrolyte (PE) with linear charge density in the order of e, the charge of an electron, and established a reversal in electrophoretic mobility of the PE in a multivalent electrolyte by considering a small screening length of the PE. Yang et al. (Reference Yang, Buyukdagli, Scacchi, Sammalkorpi and Ala-Nissila2023) determined the mobility for the PE of screening length 0.17 nm through the Helmholtz–Smoluchowski formula by evaluating the $\zeta$ -potential at the interface between the PE and electrolyte.

The attractive force between like-charged macromolecules or colloid particles and the reversal of electrophoretic mobility cannot be explained by the standard mean-field-based models. In addition, several other phenomena which are encountered in experimental studies cannot be explained by the standard models which consider ions as point charges. For example, the standard point-charge-based model shows that the span of the electric double layer (EDL) which develops in the vicinity of a charged surface in contact with an electrolyte, contracts as the ionic concentration of the electrolyte is increased. However, experimental and theoretical studies demonstrate that at a higher ionic concentration situation, a layered structure of ions develops leading to an extension of the EDL as the ionic concentration is increased (Gupta et al. Reference Gupta, Rajan, Ananth, Emily and Stone2020a ). The ion saturation in the EDL for an increased surface charge density is observed in experiments, which cannot be established through the point-charge-based models.

Most of the theories developed on electrophoresis are based on the standard electrokinetic model, in which ions are considered as point charges and the electrokinetics is governed by the Poisson–Nernst–Planck equations (PNP-model). As indicated before, these models have several shortcomings which manifest when the charge density and/or ionic concentration of the electrolytes become higher as well as for charge asymmetric electrolytes. The form of distribution of cations and anions in the diffuse layer which develops around a charged colloid surface, plays an important role in analysing the electrophoresis of charged colloids. The strong electrostatic fields created by the dissolved ions orient the nearby water molecules along the ion electrostatic field and a hydration shell forms around the dissolved ions. The formation of such a hydration shell around the hydrated ions lower the dielectric permittivity of the medium. In this case, the dielectric permittivity is no longer a constant, it varies with the concentration of ions. This phenomenon is referred to as the dielectric decrement (Zhao & Zhai Reference Zhao and Zhai2013). The difference in the dielectric permittivity of the medium creates a Born energy difference of the ions, resulting in modification in the ion self-energy and the Born force on the ions (Liu & Lu Reference Liu and Lu2017; Hennequin et al. Reference Hennequin, Manghi and Palmeri2021). The finite size of the hydrated ions create a significant local ionic volume fraction, leading to the hydrodynamic steric interaction of ions. The steric interaction of ions leads to a saturation of it in the diffuse layer. The entropic effect of ion size in the electrochemical potential of ions can be incorporated by introducing the excess electrochemical potential term. Several forms of the excess electrochemical potential are considered in the literature (Bazant et al. Reference Bazant, Kilic, Storey and Ajdari2009; López-García et al. Reference López-García, Horno and Grosse2016).

Over the years, various modifications of the mean-field-based models for electrokinetics have been proposed to account for the finite ion size effects and the ion–solvent interactions. The electrochemical potential of the ions is modified by adding the volume exclusion terms to account for the ion steric interactions arising due to the finite ion size consideration (López-García et al. Reference López-García, Horno and Grosse2019). It has been established that the volume exclusion modelled by the Boublik–Mansoori–Carnahan–Starling–Leland (BMCSL) equation of state (Bazant et al. Reference Bazant, Kilic, Storey and Ajdari2009) is an efficient model to capture the volume exclusion of ions due to the steric interactions and considers different sizes of the ions. Consideration of ion steric interactions and dielectric decrement creates a saturation of counterions in the EDL, which leads to an attenuation of surface charge screening resulting in a higher electrophoretic mobility. However, previous studies show that the experimentally measured mobility at a higher surface charge density undershoots the theoretically obtained results (Martın-Molina et al. Reference Martın-Molina, Quesada-Pérez, Galisteo-González and Hidalgo-Á lvarez2003). Experiments (Andrade & Dodd Reference Andrade and Dodd1951; Sherwood Reference Sherwood2011; Hsu et al. Reference Hsu, Daiguji, Dunstan, Davidson and Harvie2016) reveal that the viscosity of the suspension may enhance near a highly charged surface where a larger accumulation of ions occur. The increased viscosity of the suspension medium lowers the diffusivity of the ions and enhances the drag force to create a reduction in mobility. In previous studies (López-García et al. Reference López-García, Horno and Grosse2019) the modification of viscosity due to the suspended finite-sized ions is proposed through the Batcheler–Green equations based on two-particle hydrodynamics. Recently, Carrique et al. (Reference Carrique, Ruiz-Reina, Arroyo, López-García and Delgado2024) proposed a different hard-sphere hydrodynamic model to consider the dependence of viscosity on the local ionic concentration.

The modification of the mean-field-based models for electrokinetics as discussed above cannot predict an overscreening of surface charge, sign change in polarity of charge density within the EDL leading to an alteration of the electrophoretic velocity direction (mobility reversal) with increasing electrolyte concentration at a fixed surface charge density or attraction between two like-charged macromolecules. Attraction between like-charged DNA at a higher electrolyte concentration of multivalent counterions is observed through experimental and molecular dynamic simulation by several authors (Angelini et al. Reference Angelini, Liang, Wriggers and Wong2003; Luan & Aksimentiev Reference Luan and Aksimentiev2010; Yang et al. Reference Yang, Buyukdagli, Scacchi, Sammalkorpi and Ala-Nissila2023). The experimental studies on electrophoresis in electrolytes with multivalent counterions ${\rm LaCl}_{3}$ by Diehl & Levin (Reference Diehl and Levin2006) and Kubíčková et al. (Reference Kubíčková, Křížek, Coufal, Vazdar, Wernersson, Heyda and Jungwirth2012) found a mobility reversal beyond a critical ionic strength. The over-estimation of the experimentally measured data of electrophoresis by the theoretical results based on the PNP-model is reported by several authors (Martın-Molina et al. Reference Martın-Molina, Quesada-Pérez, Galisteo-González and Hidalgo-Á lvarez2003; Quesada-Pérez et al. Reference Quesada-Pérez, González-Tovar, Martín-Molina, Lozada-Cassou and Hidalgo-A Ivarez2005; Nishiya et al. Reference Nishiya, Sugimoto and Kobayashi2016). The experimental results of Semenov et al. (Reference Semenov, Raafatnia, Sega, Lobaskin, Holm and Kremer2013) on electrophoresis of a rigid colloid in multivalent counterions show a reversal in mobility at a higher range of the bulk ionic concentration.

The mean-field approach may no longer be valid for a larger density of ions in EDL and the many-body dynamics needs to be adopted to account for the correlations between discrete ions. Semenov et al. (Reference Semenov, Raafatnia, Sega, Lobaskin, Holm and Kremer2013) established through molecular dynamic simulation that the standard mean-field-based model can predict the mobility reversal in a multivalent electrolyte provided the ion correlations are incorporated. The electrostatic coupling parameter $\xi$ , which measures the ratio between the Bjerrum length and the Gouy–Chapman length can indicate the significance of the many-body ion–ion electrostatic correlations. For $\xi \gt 1$ , a compact counterion layer forms near the charged particle in which the interactive force between ions is dominated by the mutual repulsions (Netz Reference Netz2001). This leads to the formation of a correlation-induced condensed layer of counterions over the charged surface. This condensed layer of counterions neutralize the surface charge and can overcompensate the surface charge, leading to a development of coions outside the condensed layer. This creates an alteration in the polarity of the space charge density within the Debye layer. For $\xi \lt 1$ , the counterions in the diffuse layer can form a free layer. In the free layer, the counterions are fluid-like (Lau et al. Reference Lau, Lukatsky, Pincus and Safran2002) and have a three-dimensional spatial distribution. In this case the ion–ion repulsions are negligible and the ion distribution can be modelled through a mean-field-based approach.

For a multivalent counterion the coupling parameter $\xi$ becomes larger and at a higher range of surface charge density the counterions will become strongly correlated laterally. Under a continuum framework Bazant et al. (Reference Bazant, Storey and Kornyshev2011) and Storey & Bazant (Reference Storey and Bazant2012) accounted for the ion–ion correlations by including the non-local contribution to the free energy functional. This modification leads to a fourth-order Poisson–Fermi equation for the electric field, which involves a parameter termed as the correlation length. The correlation length, which varies between the ion size and $z_{i}^2 l_B$ , where $z_{i}$ is the valency of the counterion and $l_B$ is the Bjerrum length scale, provides a measure for the significance of the ion–ion correlations. This modification in the electrokinetic transport equation can exhibit the layered structure of the EDL, overscreening of the surface charge density and the mobility reversal of the charged particles.

Stout & Khair (Reference Stout and Khair2014) demonstrated the electrophoretic mobility reversal determined by the model as proposed by Bazant et al. (Reference Bazant, Storey and Kornyshev2011) to incorporate the ion–ion electrostatic correlations. Subsequently, Celebi et al. (Reference Celebi, Cetin and Beskok2019) and Gupta et al. (Reference Gupta, Rajan, Ananth, Emily and Stone2020b ) adopted the continuum-based approach to account for the ion–ion electrostatic correlations. de Souza & Bazant (Reference de Souza and Bazant2020) neglected the ion–ion steric interactions to study the electrostatic correlations near a charged surface based on the continuum model in a multivalent electrolyte. However, the theoretical study on the impact of electrostatic correlations on electrophoresis of a soft particle has not been addressed before. Recently, Lesniewska et al. (Reference Lesniewska, Beaussart and Duval2023) conducted a numerical study on the equilibrium electrostatic potential distribution around an isolated soft particle in a multivalent electrolyte by considering the ion–ion correlations. Their study shows that ion–ion correlations generate a reversal of the equilibrium electric potential and a layering of ion density in EDL arises. In order to solve the fourth-order Poisson–Fermi equation, Bazant et al. (Reference Bazant, Storey and Kornyshev2011) originally proposed an additional boundary condition which leads to the disappearance of the correlation term as the charged surface is approached. De Souza & Bazant (Reference de Souza and Bazant2020) and Gupta et al. (Reference Gupta, Rajan, Ananth, Emily and Stone2020b ) proposed a modification of such a boundary condition.

In the present study, we consider the electrophoresis of a soft particle in a multivalent electrolyte by adopting a modified electrokinetic model based on the continuum approach which accounts for the electrostatic correlations of ions. We consider a diffuse PEL in which a spatial dependence of the polymer segment distribution is adopted (Duval & Ohshima Reference Duval and Ohshima2006). The continuum-based models are governed by a set of partial differential equations, which are computationally cost effective as compared with the molecular dynamic simulation and other non-local approaches (Zhang & Chu Reference Zhang and Chu2024). We considered the ions to be finite-sized and incorporated the hydrodynamic steric interactions through the BMCSL equation of state, which allows different sizes of different ionic species. This is an important aspect as we will show that the correlation of ions vary with its size. The finite-sized ion consideration leads to the electrolyte viscosity to vary with the local ionic volume fraction, which in turn creates the ionic diffusivity (and hence, mobility) to vary with the local ionic volume fraction. The formation of the hydration shell of each ion attenuates the dielectric permittivity of the medium. The spatial variation of the permittivity of the electrolyte develops the Born force on ions. A linear decrement of the medium permittivity with the ionic concentration is considered. The ion transport equation is modified to include all these above-mentioned complex contributions on ion flux. The ion transport equations are coupled with the Navier–Stokes equations, which involves the electric body force as well as the Maxwell stress arising due to the variation of the dielectric permittivity. The electric field is governed by a fourth-order Poisson–Fermi equation. We have adopted a control volume approach to solve the governing equations numerically in their full form. This numerical simulation is supplemented by a weak-field (WF) analysis developed through a first-order perturbation from equilibrium under a weak applied field consideration for which the potential drop across the particle becomes less than the thermal potential. We have compared our results obtained by the standard PNP model as well as the modified model with existing theoretical and experimental studies on electrophoresis. Our WF analysis, which is governed by a set of boundary value problems, is found to compare well with the present exact numerical solution for a lower range of the surface potential.

2. Mathematical model

We consider the electrophoresis under the action of an applied electric field $E_{0}$ of a soft particle of core radius $a$ which is coated with an ion and fluid permeable diffuse PEL of nominal thickness $b-a$ , suspended in an aqueous electrolyte solution. The ion impenetrable, non-conducting rigid core is assumed to possess a uniform surface charge density $\sigma ^{*}$ and the volumetric fixed charge density of the PEL is $\rho _{_{fix}}$ . A spherical coordinate system $(r^{*},\theta,\omega )$ is employed with its origin located at the centre of the particle, and the polar axis $\theta =0$ points towards the positive $z$ -direction along which the external electric field ${E}_0$ is applied. Evidently, the problem is axially symmetric about the $z$ -axis (figure 1).

We consider a diffuse soft particle (Duval & Ohshima Reference Duval and Ohshima2006) in which the polymer segment distribution is governed by

(2.1) \begin{equation} g(r)=\frac {(1-\Gamma ^{3})\left [1-\tanh \left ( \frac {r-1}{\nu _{1}} \right ) \right ]} { 3 \displaystyle \int _{\Gamma }^{\infty }\left [ 1-\tanh \left ( \frac {r-1}{\nu _{1}} \right ) \right ] r^{2} \,\rm d\it r}. \end{equation}

We consider $b$ as the length scale. The degree of inhomogeneity of the polymer layer distribution is measured by the decay length $\nu$ which varies from $0$ to $b-a$ , and the scaled value $\nu _{1}=\nu / b$ varies from $0$ to $1-\Gamma$ , where $\Gamma =a/b$ is the scaled core thickness. A homogeneous step-like PEL corresponds to $\nu \to 0$ . For $\nu \neq 0$ , the effective particle radius extends beyond the nominal size $b$ and the size can be approximated as $b + 2.3 \nu$ (Duval & Ohshima Reference Duval and Ohshima2006). This produces a high segment density close to the surface of the rigid core, which slowly decays as we move away from the surface. It may be noted that in the diffuse PEL the total number of polymer segments and hence, the total number of charges remain constant. The position-dependent hydrodynamic softness of the PEL, $\lambda (r)$ , can be expressed as $\lambda (r)=\lambda _{0}[ g(r)]^{{1}/{2}}$ , where $\lambda _{0}^{-1}$ is the Brinkmann screening length for the homogeneous distribution of the polymer segment ( $\nu \to 0$ ). The non-dimensional hydrodynamic softness parameter $\beta =\lambda _{0} b$ provides a measure of the friction experienced by the fluid within the porous layer. For a highly permeable PEL the softness parameter can range up to 1 (Lee et al. Reference Lee, Chang, Wu, Fan and Lee2021). It may be noted that the diffuse representation of the PEL ( $\nu \neq 0$ ) is more appropriate (Zimmermann et al. Reference Zimmermann, Gunkel-Grabole, Bünsow, Werner, Huck and Duval2017) as it considers a gradual transition from PEL to the outer electrolyte medium, whereas, for a step-like PEL ( $\nu =0$ ) an abrupt jump in the physical properties occurs at the PEL–electrolyte interface.

Figure 1. (a) Schematic view of the electrophoresis of a diffuse soft particle in a spherical coordinate system fixed at the particle centre, incorporating dielectric decrement and ion–ion correlations for finite-sized ions. (b) Formation of condensed layer of counterions on the core surface and inversion of polarity of the EDL charge in modified models is illustrated in. Saturation in counterion due to ion steric interactions and dielectric decrement is elaborated. (c) Polymer segment distribution in the diffuse soft particle is depicted in the right bottom panel.

The local electric field created by the solvated ion forms a hydration shell around it, in which the water molecules are aligned by the local electric field of the ion. Due to this formation of hydration shell, the water molecules become less responsive to the external electric field; consequently the dielectric permittivity of the medium attenuates (Hatlo et al. Reference Hatlo, Van Roij and Lue2012). The dependence of the permittivity of the suspension medium with local ionic concentration can be expressed through the linear equation as (Hasted et al. Reference Hasted, Ritson and Collie1948; Nakayama Reference Nakayama2023)

(2.2) \begin{equation} \varepsilon _{r}=\varepsilon _{w}- \sum _{i} \hat {\alpha _{i}} n_{i}^{*}, \end{equation}

where $\varepsilon _{r}$ is the concentration-dependent relative dielectric permittivity of the electrolyte solution, $\varepsilon _{w}$ is the relative dielectric permittivity of pure water, $n_{i}^{*}$ is the ion concentration of the $i$ th ionic species and the parameters $\hat {\alpha }_{i}$ are salt-specific phenomenological coefficients with a unit of M $^{-1}$ , termed as excess ion polarization (Hatlo et al. Reference Hatlo, Van Roij and Lue2012). The variable dielectric permittivity of the PEL is considered to be the same as the electrolyte permittivity $\varepsilon _{e}=\varepsilon _{0} \varepsilon _{r}$ , where $\varepsilon _{0}$ denote the vacuum permittivity. The Clausius–Mossotti relation, which determines the excess polarizability of individual ions, is given by (Gavryushov & Linse Reference Gavryushov and Linse2003; Nakayama Reference Nakayama2023)

(2.3) \begin{equation} \hat {\alpha _{i}}=4 \pi \tau _{i}^{3} \epsilon _{w} \frac {\varepsilon _{w}-\varepsilon _{i}}{2 \varepsilon _{w}+\varepsilon _{i}} \end{equation}

where $\varepsilon _{i}$ is the dielectric constant and $\tau _{i}$ is the hydrated radius of the $i$ th ionic species.

The free energy G (J m $^{-3}$ ) of the system, which includes the non-local electrostatic part in the internal energy accounting the pairwise interactions between effective charges, non-electrostatic steric repulsion originating from finite-sized ions and Born energy due to the variations in permittivity, is (Bazant et al. Reference Bazant, Storey and Kornyshev2011; López-García et al. Reference López-García, Horno and Grosse2019; Lesniewska et al. Reference Lesniewska, Beaussart and Duval2023)

(2.4) \begin{align}{G} & =-\frac {\varepsilon _{0} \varepsilon _{r}}{2} \left [ \left ( \nabla ^{*} \phi ^{*} \right )^{2} + l_{c}^{2} \big( \nabla ^{*2} \phi ^{*} \big)^{2} \right ] + \left [\sum _{i} z_{i} e n_{i}^{*} +\rho _{\textit{fix}} g(r) \right ] \phi ^{*}\nonumber\\& \quad + k_{B} T \sum _{i} n_{i}^{*} \log (n_{i}) + k_{B} T \sum _{i} n_{i}^{*} \mu _{i}^{ex} + \sum _{i} \frac {z_{i}^{2} e^{2} n_{i}^{*}}{8 \pi \tau _{i} \varepsilon _{0} \varepsilon _{r}}. \end{align}

Here, $\phi ^*$ is the electric potential and $\mu _{i}^{ex}$ is the excess electrochemical potential. The term $l_{c}^{2} ( \nabla ^{*2} \phi ^{*} )^{2}$ corresponds to the contribution to the internal energy of the non-local electrostatic correlation. The parameter $l_{c}$ , the correlation length, measures the distance over which correlation effects are important. The correlation length is of the order of the correlation hole, a region of size around each counterions where it is unfavourable for other counterions to be located. For a smaller range of the electric coupling parameter $\xi$ , the correlation hole is proportional to the Bjerrum length $l_{B}$ and it is of the order of the ion size for a larger $\xi$ ( ${\gt } 1$ ). Consequently, $l_{c}$ is bounded below by the ion size and extends up to the distance $z_{i}^2 l_B$ , where $z_{i}$ is the valence of the counterion. The Bjerrum length $l_{B}=e^{2}/(4\pi \varepsilon _{0}\varepsilon _{w} k_{B} T)$ and $\xi$ , the ratio between the Bjerrum length ( $l_{B}$ ) and the Guoy–Chapmann length ( $l_{GC}$ ) is $\xi =2 \pi z_{i}^{3} l_{B}^{2} \sigma ^{*}/e$ (Mukhina et al. Reference Mukhina, Hemmerle, Rondelli, Gerelli, Fragneto, Daillant and Charitat2019). Where $e$ , $k_{B}$ and $T$ denote, respectively, the proton charge, Boltzmann constant and absolute temperature.

We refer to the present modified model as the MNPDC model and the reduced model in the absence of the dielectric decrement is referred as the MNPC model. The last two terms in the free energy expression (2.4) arise, respectively, due to the hydrodynamic steric interaction of finite-sized ions and the Born force created by the spatial variation of the dielectric permittivity of the medium. These two terms are absent in the standard PNP model, where ions are considered as point charges. The ion–ion correlations are also neglected in the PNP model, which implies $l_{c}=0$ in the PNP model. The Born force vanishes when the dielectric decrement is not considered, i.e. $\varepsilon _{r}=\varepsilon _{w}$ (MNPC model).

The electric potential $\phi ^{*}$ is scaled by the thermal potential $\phi _0=k_{B}T/e$ . We denote the variables with an asterisk as dimensional. The non-dimensional number concentration of the $i$ th ionic species, scaled by the bulk ionic strength $ I_{0}=(1/2) \sum _{i}^{} z_{i}^{2} n_{i}^{\infty }$ , is denoted as $n_{i}$ , where $n_{i}^{\infty }$ is the bulk number density and the inverse of the EDL thickness (Debye length) $\kappa ^{-1}=\sqrt {\varepsilon _{0} \varepsilon _{w} \phi _{0}/(2 e I_{0})}$ . For a general $z_{1}:z_{2}$ electrolyte if ${C}_{0}$ is the bulk molar concentration (in mM) then the bulk number density of the ionic species are calculated as $n_{1}^{\infty }=|z_{2}|N_{\text {A}} {C}_{0}$ and $n_{2}^{\infty }=|z_{1}|N_{\text {A}} {C}_{0}$ , where $N_{\text {A}}$ is Avogadro’s number. Thus, $I_0$ can be expressed in terms of ${C}_{0}$ as $2I_{0}= {C}_{0} N_{\text {A}}z_{1} z_{2}(z_{1}-z_{2})$ and $\kappa ^{-1}$ is obtained as $\kappa ^{-1}=\sqrt {\varepsilon _{0} \varepsilon _{w} \phi _{0}/(F {C}_{0}z_{1} z_{2}(z_{1}-z_{2}))}$ .

The short range hydrodynamic ion steric repulsion due to the finite size of ions is taken into account through the excess electrochemical potential $\mu _{i}^{ex}$ , which can be expressed based on the BMCSL model (Bazant et al. Reference Bazant, Kilic, Storey and Ajdari2009; Stout & Khair Reference Stout and Khair2017) for the $i$ th ionic species of size $\tau _i$ as

(2.5) \begin{align} \mu _{i}^{\text {ex}}=&-\left [1+2\left ( \frac {\chi _{_2} \tau _{i} }{\chi } \right )^{3} -3 \left ( \frac {\chi _{_2} \tau _{i}}{\chi } \right )^{2} \right ] \ln (1-\chi ) + \frac { 3 \chi _{_{2}} \tau _{i} + 3\chi _{_1} \tau _{i}^{2} + \chi _{_0}\tau _{i}^{3}} {1-\chi }\nonumber\\ &+ \frac {3\chi _{_2} \tau _{i}^{2}}{(1-\chi )^2}\left ( \frac {\chi _{_2}}{\chi }+\chi _{_1} \tau _{i} \right ) - \chi _{_2}^{3} \tau _{i}^{3}\frac {\chi ^{2}-5\chi +2}{\chi ^{2}(1-\chi )^{3}},\end{align}

where $\chi _{_{k}}=({4 \pi }/{3}){I_{0}} \sum _{i} n_{i}{\tau _i}^k$ for $k=0,\,1,\,2$ and the local ionic volume fraction is $\chi =(4\pi /3){I_{0}} \sum _{i} n_{i} \tau _{i}^{3}$ . As the hydrated ions are considered as finite-sized charged spheres suspended in the medium, it makes the viscosity vary with the local ionic volume fraction of the medium (López-García et al. Reference López-García, Horno and Grosse2019). The scaled electrolyte viscosity $\eta$ , scaled by the electrolyte viscosity $\eta _{\infty }$ at infinitely dilute solution, varies with the local volume fraction of ions $\chi$ through the Batchelor–Green equation (Batchelor & Green Reference Batchelor and Green1972), which is based on the two-particles hydrodynamic interactions, as

(2.6) \begin{equation} \eta =1+2.5\chi +5.2\chi ^2. \end{equation}

Thus, the scaled diffusion coefficient of the $i$ th ionic species $D_{i}$ , scaled by the diffusion coefficient in the bulk solution $D_{i}^{\infty }$ becomes a function of the local volume fraction of ions, i.e.

(2.7) \begin{equation} D_{i}=\frac {1}{1+2.5\chi +5.2\chi ^2}. \end{equation}

The electric potential is governed by the fourth-order modified Poisson equation, derived from the minimization of the total volumetric energy of the system governed by (2.4)

(2.8) \begin{equation} \nabla ^{2}\big[ \delta _{c}^{2} \varepsilon \nabla ^{2} \phi \big] - (\kappa b)^{2} \nabla \cdot [\varepsilon \nabla \phi ]=(\kappa b)^{2} \left [\frac {(\kappa b)^{2}}{2} \rho _e + g(r){Q}_{fix} \right ], \end{equation}

where ${Q}_{fix}=\rho _{fix} b^{2}/(\varepsilon _{0} \varepsilon _{w} \phi _{0})$ and $\rho _{e}=\sum _{i} z_{i} n_{i}$ is the space charge density of mobile ions. The volumetric fixed charge density of the PEL has a position-dependent distribution ${Q}_{fix} g(r)$ within the diffuse PEL. For the case of a highly charged particle, the non-dimensional correlation length $\delta _{c}$ , scaled by the Debye length $\kappa ^{-1}$ , can be determined as (de Souza & Bazant Reference de Souza and Bazant2020)

(2.9) \begin{equation} \delta _{c}^{2}=0.35 \big( \kappa z_{i}^{2} l_{B} \big)^{2/3} \left (\frac {e b}{2 \pi |z_{i}|^{3} \phi _{0} \varepsilon _{0} \varepsilon _{w} l_{B}^{2} |\sigma |} \right )^{1/8} \end{equation}

where $\sigma = \sigma ^{*} b/(\varepsilon _{0} \varepsilon _{w} \phi _{0})$ is the scaled surface charge density of the rigid core and $F$ is the Faraday constant. For a larger bulk ionic concentration $C_{0}$ ( $\kappa b \gt 1$ ) and $\sigma$ in which the coupling parameter $\xi \gt 1$ , this power-law formula for $\delta _c$ yields $l_c$ of the order of the interionic spacing distance. This suggests that (2.9) is appropriate in the strong coupling regime where $\xi \gt 1$ . However, $l_c$ becomes of the order of $z_{i}^{2}l_{B}$ for a lower range of $\sigma$ and $C_0$ for which $\xi$ does not exceed 1 by a big margin.

The non-dimensional electrochemical potential of the $i$ th ionic species, scaled by $k_{B} T$ , can be derived as $\mu _{i}=(1/k_{B}T)\partial \text {G} / \partial n_{i}^{*}$ , i.e.

(2.10) \begin{equation} \mu _{i}=z_{i} \phi + \log n_{i} \gamma _{i} + \left(\frac {B_i}{\varepsilon }\right) + \frac {\alpha _i}{(\kappa b)^2} \left[(\nabla {\phi })^2 +\left(\frac {\delta _c}{\kappa b} \right)^2 (\nabla ^2 \phi )^2\right] \end{equation}

where $B_i=z_{i}^{2} e/(8\pi \phi _0 \tau _i \varepsilon _0 \varepsilon _w )$ is a constant, $\varepsilon =\varepsilon _{r}/\varepsilon _{w}$ and $\alpha _{i}=\hat {\alpha _{i}} {I_{0}}/\varepsilon _{w}$ . The non-dimensional flux of the $i$ th ionic species is

(2.11) \begin{equation} \textbf {N}_{i}=n_{i} \boldsymbol{u}-\frac {n_{i} D_{i}}{\text {Pe}_{i}} \nabla \mu _{i} \end{equation}

where ${Pe}_i = a U_{0} / D_{i}^{\infty }$ is the ionic Péclet number, which measures the ratio of advective to diffusion transport of ions. Note that $\boldsymbol{u}$ is the dimensionless fluid velocity, scaled by $U_{0}=\varepsilon _{0} \varepsilon _{w} \phi _{0}^{2}/(a \eta ^{\infty })$ .

The transport of the $i$ th ionic species can be expressed in non-dimensional form based on the conservation law of mass flux, i.e. $\nabla \cdot \textbf {N}_{i}=0$ as

(2.12) \begin{equation} {Pe}_{i} \left [\boldsymbol{u} \cdot \nabla n_{i} \right ] = D_{i} \big( n_{i} \nabla ^{2} \mu _{i} + \nabla n_{i} \cdot \nabla \mu _{i} \big) + n_{i} \nabla D_{i} \cdot \nabla \mu _{i}. \end{equation}

We consider the Darcy–Brinkmann extended Navier–Stokes equations, which includes the body force term arising due to the electric force on the mobile charge and the Maxwell stress due to spatial variation of $\varepsilon$ , to describe the motion of the incompressible Newtonian ionized fluid inside the PEL and outside of it, i.e.

(2.13) \begin{equation} \nabla \cdot \boldsymbol{u}=0, \end{equation}
(2.14) \begin{align} \text {Re} \left [ \boldsymbol{u} \cdot \nabla \boldsymbol{u} \right ] & + \eta \beta ^{2} g(r) \boldsymbol{u} + \nabla p - \eta \nabla ^{2} \boldsymbol{u} - \nabla \eta \cdot \big[ \nabla \boldsymbol{u} + (\nabla \boldsymbol{u})^{T} \big]\nonumber\\& \quad + \frac {(\kappa b)^{2}}{2} \rho _{e} \nabla \phi + \frac {1}{2} \nabla \varepsilon \left[(\nabla \phi )^{2}+\left(\frac {\delta _c}{\kappa b}\right)^{2} (\nabla ^2 \phi )^2\right]= 0, \end{align}

where $\boldsymbol{u}=(v,u)$ is the velocity vector with v being the radial and u being the cross-radial components. The second term of (2.14), i.e. $\eta \beta ^{2} g(r) \boldsymbol{u}$ corresponds to the frictional force created by the gel medium on the fluid, which gradually approaches to zero in the fluid medium where $g(r) \to 0$ . The last two terms in the momentum equation (2.14) correspond to the Korteweg–Helmholtz force obtained from the Maxwell stress tensor arising due to the spatial variation of the medium dielectric permittivity. The viscosity and permittivity inside the highly permeable PEL are considered to be the same as that of the ionized electrolyte. In the PNP model the terms corresponding to the variable viscosity and permittivity are absent, making this equation identical to that considered by Duval & Ohshima (Reference Duval and Ohshima2006).

We may impose the boundary conditions at the ion and fluid impermeable rigid core surface ( $r=\Gamma$ ) as (Bazant et al. Reference Bazant, Storey and Kornyshev2011; Storey & Bazant Reference Storey and Bazant2012)

(2.15) \begin{equation} \boldsymbol {e_r} \cdot \left[\left(\frac {\delta _{c}}{\kappa b}\right)^{2} \nabla ( \varepsilon \nabla ^{2} \phi)-\varepsilon \nabla \phi \right]=\sigma,\,\, \boldsymbol {e_r} \cdot \nabla ( \varepsilon \nabla ^{2} \phi ) = 0,\,\,\boldsymbol{u}=\boldsymbol {0},\,\,\textbf {N}_{i}.\boldsymbol {e_r}=0 \end{equation}

where $\boldsymbol {e_r}$ is the unit vector along the radial direction. The boundary conditions for $\phi$ arise from the condition on the electric displacement vector $\boldsymbol {e_r} \cdot \textbf {D}=\sigma$ , i.e. $\boldsymbol {e_r} \cdot [(\frac {\delta _{c}}{\kappa b})^{2} \nabla ( \varepsilon \nabla ^{2} \phi )-\varepsilon \nabla \phi ]=\sigma$ on the charged surface along with the additional condition $\boldsymbol {e_r} \cdot \nabla ( \varepsilon \nabla ^{2} \phi ) = 0$ which leads to $\boldsymbol {e_r} \cdot \varepsilon \nabla \phi = -\sigma$ . Similar boundary conditions are adopted in most of the previous studies to analyse the ion–ion correlations near a charged surface (Celebi et al. Reference Celebi, Cetin and Beskok2019; Lesniewska et al. Reference Lesniewska, Beaussart and Duval2023; Zhang & Chu Reference Zhang and Chu2024). It can be easily shown that these boundary conditions can lead to satisfying the global electric charge neutrality condition. For a constant $\varepsilon$ , the additional boundary condition for $\phi$ , as adopted here, arises due to the consideration that the mean-field charge density becomes flat as the surface is approached (Bazant et al. Reference Bazant, Kilic, Storey and Ajdari2011). The additional boundary condition makes the correlations of the surface charge vanish. This is justified as the ion crowding effects near the highly charged surface may suppress the correlations of the surface charge. Lesniewska et al. (Reference Lesniewska, Beaussart and Duval2023) neglected the ion correlations at the core surface and imposed a constant surface charge density or a constant surface potential ( $\zeta$ -potential) to analyse the ion–ion correlations on the electrokinetic transport. de Souza & Bazant (Reference de Souza and Bazant2020) indicated that on the boundary, $l_c=0$ is equivalent to the case of $l_c \neq 0$ if the ionic volume exclusion effect is not included, i.e. $\mu _{i}^{ex}=0$ . In that study de Souza & Bazant (Reference de Souza and Bazant2020) imposed the additional boundary condition to analyse the ion–ion correlations neglecting the ion steric interactions, i.e. $\mu _{i}^{ex}=0$ by considering the charged surface as flat on which the value of the Maxwell stress is unaffected by the correlations. This condition along with the condition $\boldsymbol {e_r} \cdot \textbf {D}=\sigma$ at the surface reduce to $\boldsymbol {e_r} \cdot [({\delta _{c}}/{\kappa b}) \nabla (\nabla ^{2} \phi )]-\nabla ^{2} \phi =0$ (Condition-2). Thus, the additional boundary condition governed by Condition-2 is appropriate for the case in which ion crowding is not strong enough to create $\mu _{i}^{ex} \neq 0$ and the charged interface is flat, i.e. $\kappa b \gg 1$ . Gupta et al. (Reference Gupta, Rajan, Ananth, Emily and Stone2020b ) proposed the additional boundary condition as $\nabla ^{2} \phi =0$ on the charged surface (Condition-3). We made a sensitivity analysis by considering these three types of additional boundary conditions on $\phi$ by comparing with existing results on equilibrium situation as well as on mobility for a wide range of the bulk ionic concentration. A detailed discussion on this is made in the Results and discussion section.

Under the stationary coordinate frame fixed at the particle centre, the far-field can be considered to approach the particle with a velocity $-U_{E}$ . At the far field the presence of the particle is negligible, and the medium is electrically neutral, i.e. $ \sum _{i} z_{i}n_{i}=0$ . Thus, the boundary conditions at the far field ( $r={R}\gg 1$ ) can be imposed as

(2.16) \begin{equation} \boldsymbol{u}\to -U_E\boldsymbol {e_z},\,\,\,n_{i} \to \frac { n_{i}^{\infty }}{I_{0}},\,\,\,\nabla \phi \to -\Lambda \boldsymbol {e_z},\,\,\,\,\nabla ^{2} \phi \to \boldsymbol {0} \end{equation}

where $\Lambda =E_{0}b/\phi _{0}$ is the scaled applied electric field.

The forces acting on the particle are the electric force and the drag force. Due to the axisymmetric nature of the problem, only the z-component of these forces is considered. The electric force ( $F_E$ ) and drag force ( $F_D$ ) are scaled by $\varepsilon _{0} \varepsilon _{w} {\phi _0}^2$ . An expression for $F_E$ based on the Maxwell stress and the hydrodynamic force $F_D$ is provided by de Souza & Bazant (Reference de Souza and Bazant2020). The electrophoretic velocity ( $U_E$ ) is determined by iteratively solving the force balance equation, $F_E + F_D = 0$ . These forces are computed by solving the governing electrokinetic equations using a numerical method, as outlined in the subsequent section.

3. Numerical methods

The coupled set of governing equations for ion transport, fluid flow and electric potential, along with the specified boundary conditions, are solved numerically using a control volume approach on a staggered grid arrangement. In the vicinity of the core and the PEL, sharp gradients in variable values may occur. To enhance the stability of the numerical scheme in such cases, the convective and electromigration terms are discretized using the second-order upwind scheme QUICK (Fletcher Reference Fletcher2012). The details on the discretization procedure are provided elsewhere (Mondal et al. Reference Mondal, Bhattacharyya, Majhi and Ohshima2023; Mondal & Bhattacharyya Reference Mondal and Bhattacharyya2024).

The discretized equations are solved iteratively using the SIMPLE (semi-implicit method for pressure-linked equations) algorithm (Versteeg Reference Versteeg2007) in which the continuity equation is converted into a Poisson equation for pressure correction. At each iteration the electric potential is determined by solving the fourth-order Poisson–Fermi equation, which is reduced into two second-order elliptic partial differential equations (PDEs). A successive-over-relaxation technique is adopted to solve the coupled set of second-order elliptic PDEs to determine $\phi$ . This procedure is continued until the desired convergence criteria is satisfied.

The outer radius of the computational domain is set to 40 times the radius of the soft spherical particle, ensuring that the outer boundary does not significantly affect the particle’s drag. We use a non-uniform grid distribution along the radial direction and a uniform grid in the cross-radial direction. The grid is finer near and within the porous layer, where flow changes rapidly. As the distance from the particle core increases, the grid size in the radial direction increases in an arithmetic progression. The minimum grid size ( ${\rm d}r$ ) in the radial direction is 0.0007 for the dense grid and 0.01 for the coarse grid. The optimal grid size in the cross-radial direction ( ${\rm d} \theta$ ) is 0.01 as further refinement does not result in significant changes.

We developed an in-house computer code based on the numerical algorithm as described above, which is executed on an IBM Power 10 server. The code typically takes 1.5–2.5 h to execute, utilizing 99 % of the central processing unit. The accuracy and convergence of the code are established by varying the grid size as well as comparing with existing experimental and theoretical results. A detailed discussion on the validation is provided in the next section.

4. Simplified model based on weak applied electric field

Under a weak imposed electric field ( $E_{0} b/\phi _{0}=\Lambda \lt 1$ ), the variables can be expressed as $\phi =\phi ^{0}(r)+\delta \phi (r,\theta )$ , $n_{i}=n^{0}_{i}(r)+\delta n_{i}(r,\theta )$ , $\mu _{i}=\mu ^{0}_{i}+\delta \mu _{i}(r,\theta )$ , $\mu _{i}^{{ex}}=\mu ^{{ex,0}}_{i}+\delta \mu _{i}^{{ex}}(r,\theta )$ and $\boldsymbol{u}=0+\delta \boldsymbol{u}(r,\theta )$ , where the quantities with the superscript $0$ refer to those at equilibrium, i.e. before the electric field is applied and the quantity having $\delta$ as a prefix represents the perturbed situation which arises due to the presence of $E_{0}$ . Note that the inertial terms in the Navier–Stokes equations are neglected in this model owing to the lower Reynolds number. Numerous experimental investigations (López-Viota et al. Reference López-Viota, Mandal, Delgado, Toca-Herrera, Möller, Zanuttin, Balestrino and Krol2009; Semenov et al. Reference Semenov, Raafatnia, Sega, Lobaskin, Holm and Kremer2013; Tottori et al. Reference Tottori, Misiunas, Keyser and Bonthuis2019) have explored particle electrophoresis under electric fields reaching $10^{4}\,\rm V\,m^-{^1}$ ( $\Lambda =0.0194$ ). This justifies the applicability of our simplified model, which is further confirmed by comparison with the exact numerical solutions in the subsequent section.

In the absence of the applied electric field, i.e. at equilibrium state there exists no net force in the system, so that $\boldsymbol{u}=0$ and $\nabla \mu _{i}^{0}=0$ . Solving $\nabla \mu _{i}^{0}=0$ with the boundary condition $\phi ^{0}=0$ at the far field ( $r \to \infty$ ) yields

(4.1) \begin{align} n^{0}_{i} & =\frac { n_{i}^{\infty }}{I_{0}} \exp \left[-z_{i}\phi ^{0} -\frac {\alpha _{i}}{(\kappa b)^{2}} \left\{ \left ( \frac {\rm d \phi ^{0}}{\rm d\it r} \right )^{2} + \left (\frac {\delta _{c}}{\kappa b}\right )^{2} \left ( \frac {d^{2} \phi ^{0}}{\rm d\it r^{2}} + \frac {2}{r} \frac {\rm d \phi ^{0}}{\rm d\it r} \right )^{2} \right\}\right. \nonumber\\& \quad \left. -B_{i} \left ( \frac {1}{\varepsilon ^{0}} - \frac {1}{\varepsilon ^{0}_{\infty }} \right ) - \Big( \mu _{i}^{{ex,0}} - \mu _{i}^{{ex,0}}(r \to \infty ) \Big) \right]. \end{align}

The modified Poisson equation (2.8) for the electric potential in the equilibrium state is

(4.2) \begin{align} \big[ \delta _{c}^{2} \varepsilon ^{0} \big] \frac {d^{2} \psi ^{0}}{\rm d\it r^{2}} & + \left[ 2 \delta _{c}^{2} \frac {\rm d\varepsilon ^{0}}{\rm d\it r} + \frac {2}{r} \delta _{c}^{2} \varepsilon ^{0} \right] \frac {\rm d \psi ^{0}}{\rm d\it r} + \left[ \delta _{c}^{2} \frac {d^{2} \varepsilon ^{0}}{\rm d\it r^{2}} + \frac {2}{r} \delta _{c}^{2} \frac {\rm d \varepsilon ^{0}}{\rm d\it r} -(\kappa b)^{2} \varepsilon ^{0} \right] \psi ^{0}\nonumber\\& \quad =(\kappa b)^{2} \left[ \frac {(\kappa b)^{2}}{2} \sum _{i} z_{i} n_{i}^{0} + g(r) Q_{fix} + \frac {\rm d \varepsilon ^{0}}{\rm d\it r} \frac {\rm d \phi ^{0}}{\rm d\it r} \right] \end{align}

where

(4.3) \begin{equation} \frac {d^{2} \phi ^{0}}{\rm d\it r^{2}}+\frac {2}{r} \frac {\rm d \phi ^{0}}{\rm d\it r}= \psi ^{0}. \end{equation}

The boundary conditions at the equilibrium state are specified as

(4.4) \begin{equation} \left.\varepsilon ^{0} \frac {\rm d\phi ^{0}}{\rm d\it r}\right|_{r=\Gamma }=-\sigma,\,\phi ^{0}|_{r\to \infty }=0\,\,\,\text {and}\left.\,\,\,\varepsilon ^{0}\frac {\rm d \psi ^{0}}{\rm d\it r}\right|_{r=\Gamma }+ \left.\psi ^{0} \frac {\rm d \varepsilon ^{0}}{\rm d\it r}\right |_{r=\Gamma }=0,\,\psi ^{0}|_{r\to \infty }=0. \end{equation}

The external electric field perturbs the equilibrium double layer, leading to a fluid motion and ion flux described by the equations valid for the first-order in $\Lambda$ . At the far-field region ( $r \to \infty$ ) where the presence of the particle has no importance, the boundary conditions of the perturbed variables are specified as

(4.5) \begin{equation} \delta \phi \to -\Lambda r \cos \theta,\,\,\,\delta \mu _{i} \to -z_{i} r \Lambda \cos \theta,\,\text {and}\,\,\,\delta \boldsymbol{u} \to (U_{E}\sin \theta,\,-U_{E} \cos \theta,\,0). \end{equation}

Given the boundary conditions (4.5) and the spherical symmetry of the problem, we can describe the perturbed variables as (O’Brien & White Reference O’Brien and White1978; Landau & Lifshitz Reference Landau and Lifshitz2013)

(4.6a) \begin{align} \delta \phi =-\text {Y}(r) \Lambda \cos \theta, \end{align}
(4.6b) \begin{align} \delta \mu _{i}=-z_{i} \Phi _{i} (r) \Lambda \cos \theta, \end{align}
(4.6c) \begin{align} \delta \boldsymbol{u}=\left ( \frac {1}{r}\frac {d}{\rm d\it r}[r\text {H}(r)]\Lambda \sin \theta,\, -\frac {2}{r}\text {H}(r)\Lambda \cos \theta,\, 0 \right ). \end{align}

The perturbed number density of ions can be determined from the perturbed electrochemical potentials $\delta \mu _{i}$ and the perturbed electric potential $\delta \phi$ , derived from (2.8) and (2.10), as

(4.7) \begin{equation} \delta n_{i}=\Lambda \cos \theta \sum _{j} N_{{ij}} \left [z_{j} (Y-\Phi _{j}) +\frac {2 \alpha _{j}}{(\kappa b)^2} \left \{\frac {\rm d\phi ^{0}}{\rm d\it r} \frac {\rm d\it Y}{\rm d\it r}+\left(\frac {\delta _{c}}{\kappa b}\right)^{2}\psi ^{0}LY \right \}\right ]. \end{equation}

The coefficient $N_{{ij}}$ is provided in Appendix A and L is the operator ${L}=({1}/{r^2})({d}/({\rm d\it r}))(r^2({d}/{\rm d\it r})-{2}/{r^2}$ . Substituting (4.6) and (4.7) into the perturbed form of the governing equations (2.8), (2.12), (2.14) and expressing the resulting equations as second-order ordinary differential equations (ODEs), we get

(4.8) \begin{align} F_{1}LY_{1} & +F_{2}\frac {\rm d\it Y_{1}}{\rm d\it r}+F_{3}Y_{1}=F_{4}\frac {d^{2}Y}{\rm d\it r^{2}}+F_{5}\frac {\rm d\it Y}{\rm d\it r}+F_{6}Y\nonumber\\& +\sum _{i,j} z_{j} \left [ K^{\prime\prime}_{{ij}} \left (\frac {d^{2} \Phi _{j}}{\rm d\it r^{2}}-\frac {d^{2} Y}{\rm d\it r^{2}}\right ) + K^{\prime}_{{ij}} \left ( \frac {\rm d \Phi _{j}}{\rm d\it r}-\frac {\rm d\it Y}{\rm d\it r}\right ) + K_{{ij}}\left (\Phi _{j}-Y\right ) \right ], \end{align}
(4.9) \begin{equation} {L} \Phi _{i}=\frac {1}{n_{i}^{0}} \frac {\rm d\it n_{i}^{0}}{\rm d\it r} \left [\frac {2 {Pe}_{i}}{z_{i} D_{i}^{0}}\frac {{H}}{r}-\frac {\rm d\Phi _{i}}{\rm d\it r}\right ]-\frac {1}{D_{i}^{0}}\frac {\rm d\it D_{i}^{0}}{\rm d\it r}, \end{equation}

(4.10) \begin{align} LH_{1} & +\frac {2}{\eta ^{0}}\frac {\rm d \eta ^{0}}{\rm d\it r}\frac {\rm d{H}_{1}}{\rm d\it r}+\left (\frac {1}{r \eta ^{0} }\frac {\rm d \eta ^{0}}{\rm d\it r} -\beta ^{2} g \right ){H}_{1}=\frac {(\kappa b)^2}{2 r \eta ^{0} } \displaystyle \sum _{i}z_{i}\frac {{\rm d}n_{i}^{0}}{\rm d\it r}\Phi _{i}\nonumber\\& +\frac {1}{\eta ^{0}}\left ( \frac {1}{r}\frac {\rm d \eta ^{0}}{\rm d\it r}-\frac {d^{2} \eta ^{0}}{\rm d\it r^{2}} \right ) \frac {d^{2}{H}}{\rm d\it r^{2}}+\beta ^{2} \left ( \frac {g}{\eta ^{0}} \frac {\rm d \eta ^{0}}{\rm d\it r} + \frac {{\rm d} g}{\rm d\it r} \right ) \left ( \frac {\rm d {H}}{\rm d\it r} +\frac {{H}}{r} \right ), \end{align}

where $Y_{1}$ and $H_{1}$ satisfy

(4.11) \begin{equation} {LH}={H}_{1},\,\,\,\,\,\,\,\,{LY}={Y}_{1}. \end{equation}

Using (4.6) and (4.7) in the perturbed forms of the boundary conditions at the core surface $r=\Gamma$ (2.15) we get

(4.12) \begin{align} & \left[\varepsilon ^{0} +\frac {2}{(\kappa b)^{2}}\left(\frac {\rm d\phi ^{0}}{\rm d\it r}\right)^{2}\sum _{i,j}\alpha _{i}\alpha _{j}N_{{ij}}\right]\frac {\rm d\it Y}{\rm d\it r}\nonumber\\& \qquad -\frac {\rm d \phi ^{0}}{\rm d\it r} \sum _{i,j} \alpha _{i} N_{{ij}} \left[z_{j}(\Phi _{j}-Y)-\frac {2\alpha _{j}}{(\kappa b)^{2}}\bigg (\frac {\delta _{c}}{\kappa b}\bigg )^{2}\psi ^{0}LY\right]=0, \end{align}
(4.13) \begin{align} G_{1}\frac {\rm d\it Y_{1}}{\rm d\it r} & + G_{2}Y_{1}-G_{3}\frac {\rm d\it Y}{\rm d\it r}-G_{4}Y\nonumber\\ & - \sum _{i,j}\alpha _{i}z_{j}\left [\bigg (\frac {\rm d\psi ^{0}}{\rm d\it r}N_{{ij}}+\psi ^{0}\frac {{\rm{d}} N_{{ij}}}{\rm d\it r}\bigg )(\Phi _{j}-Y)+\psi ^{0}N_{{ij}}\bigg (\frac {\rm d\Phi _{j}}{\rm d\it r}-\frac {\rm d\it Y}{\rm d\it r}\bigg )\right ]=0, \end{align}
(4.14) \begin{equation} H=0,\,\,\,\,\,\,H_{1}=\frac {{\rm d}^{2}H}{\rm d\it r^{2}},\,\,\,\,\,\,\frac {{\rm d}\Phi _{i}}{\rm d\it r}=0. \end{equation}

At the far field ( $r \to \infty$ )

(4.15) \begin{equation} Y \to r,\,\,\,\,\,\,Y_{1} \to 0,\,\,\,\,\,\,\Phi _{i} \to r,\,\,\,\,\,\,\frac {{\rm d}^{2}{H}}{\rm d\it r^{2}}=0,\,\,\,\,\,\,{H}_{1}=0. \end{equation}

All the coefficients involved in the equations are given in Appendix A.

We first solve (4.2) and (4.3) numerically for the equilibrium potential using a central difference scheme. Using this solution we solve the set of second-order boundary value problems (4.8)–(4.11) subject to the boundary conditions (4.12)–(4.15) through the finite difference scheme in a coupled manner. The electrophoretic mobility can be found as

(4.16) \begin{equation} \mu _{_E}=\frac {U_{E}}{\Lambda }=\lim _{r\to \infty }\frac {2{H}(r)}{r}. \end{equation}

5. Results and discussion

We present results by considering the particle radius $b=50$ nm, $\Gamma =a/b=0.5$ , $\nu _1=0.25$ for diffuse PEL and 0 for step-like PEL, and $\lambda _{0}^{-1}$ = 50 nm ( $\beta =1$ , Lee et al. (Reference Lee, Chang, Wu, Fan and Lee2021) along with the external applied electric field as $E_{0}=10^{4}\,\rm V\,\rm m^-{^1}$ ( $\Lambda =0.0194$ ). In previous studies on soft particles (López-Garcıa et al. Reference López-Garcıa, Grosse and Horno2003; López-Viota et al. Reference López-Viota, Mandal, Delgado, Toca-Herrera, Möller, Zanuttin, Balestrino and Krol2009; Li et al. Reference Li, Allison and Hill2014), the volumetric fixed charge density of the PEL, i.e. $\rho _{_{fix}}$ is considered to vary up to $-3.6 \times 10^{7}\,\rm C\,\rm m^-{^3}$ with core charge density up to $\sigma =-0.05\,\rm mC\,\rm m^-{^2}$ . The electrostatic parameters for the electrolytes considered in this study are listed in table 1. It may be noted that the present MNPDC model reduces to the PNP model if we consider the excess electrochemical potentials arising due to finite ion size $\mu _{i}^{ex}=0$ , $\varepsilon _{r}$ is constant and $l_c=0$ and to the MNPC model under a constant permittivity condition, i.e. $\varepsilon _{r}=\varepsilon _{w}$ .

Table 1. Physical properties of electrolytes.

5.1. Validation with existing experimental and theoretical studies

We have validated our algorithm by comparing with several existing theoretical and experimental studies. In figure 2(a), we compare our PNP model with the experimental study by López-Viota et al. (Reference López-Viota, Mandal, Delgado, Toca-Herrera, Möller, Zanuttin, Balestrino and Krol2009) and the theoretical study by Yeh et al. (Reference Yeh, Fang, Hsu and Tseng2011) for a soft particle with a step-like PEL ( $\nu \to 0$ ) with low surface charge density. Our results show good alignment with these studies.

Figure 2(b) shows the comparison of the radial distribution of the induced potential at equilibrium for a soft particle with a step-like coating ( $\nu \to 0$ ) obtained by the present PNPC (in which ion correlations is included in the PNP model) and MNPDC models with the corresponding results of Lesniewska et al. (Reference Lesniewska, Beaussart and Duval2023) when the $\zeta$ -potential at the core is $\zeta =-5$ . Lesniewska et al. (Reference Lesniewska, Beaussart and Duval2023) considered a constant correlation length ( $\delta _{c}=2$ ) and the boundary condition is same as (2.15). We find that our results match exactly with Lesniewska et al. (Reference Lesniewska, Beaussart and Duval2023). Overscreening of the surface charge, indicated by the sign reversal in potential, is observed in the PNPC model where the dielectric decrement and finite ion size effects are ignored. However, in the MNPDC model no coion-dominated region forms or change of sign in electric potential profile occurs. This is due to the dielectric decrement effect, which reduces the accumulation of mobile ions within the EDL. In figure 2(b) we have also indicated results obtained by considering different forms of the boundary condition for the electric potential equation (2.8). For the PNPC model, we observe a slight contraction in the coion-dominated region when employing the mixed boundary condition (Condition-2) as adopted by de Souza & Bazant (Reference de Souza and Bazant2020). This contraction becomes more pronounced for the boundary condition $\nabla ^{2} \phi =0$ at the surface (Condition-3), as considered by Gupta et al. (Reference Gupta, Rajan, Ananth, Emily and Stone2020b ). Notably, in the case of the MNPDC model, the difference in results obtained by imposing Condition-3 and boundary condition (2.15) is insignificant. This can be attributed to the suppression of electrostatic correlation effects by the incorporation of dielectric decrement and finite ion size. Gupta et al. (Reference Gupta, Rajan, Ananth, Emily and Stone2020b ) compared results for EDL charge density based on these three different additional boundary conditions by imposing fixed values for the surface potential or surface charge density and observed that the boundary conditions governed by (2.15) yields a larger overscreening of surface charge compared with Condition-2 and Condition-3. Our results in figure 2(b) agree with this remark of Gupta et al. (Reference Gupta, Rajan, Ananth, Emily and Stone2020b ).

Figure 2. Comparison of the (a) electrophoretic mobility with experimental results of López-Viota et al. (Reference López-Viota, Mandal, Delgado, Toca-Herrera, Möller, Zanuttin, Balestrino and Krol2009) and numerical results of Yeh et al. (Reference Yeh, Fang, Hsu and Tseng2011) at $b=15$ nm, $Q_{fix}=-30.2$ ( $\rho _{_{fix}}=-0.245 \times 10^{7} \text {C m}^{-3}$ ), $\beta =5.15$ , $\Gamma =0.7$ for a soft particle with step-like PEL( $\nu \to 0$ ) in NaCl electrolyte; (b) radial distribution of equilibrium potential with Lesniewska et al. (Reference Lesniewska, Beaussart and Duval2023) when $\zeta =-5$ at the core, $\delta _{c}=2$ , $\rho _{_{fix}}=-1.93 \times 10^{7}\,\rm C\,\rm m^-{^3}$ ( $Q_{fix}=-2640.2$ ), ${C}_{0}=500\,\rm mM$ , $\Gamma =0.91296$ for a soft particle with step-like PEL( $\nu \to 0$ ) in KCl electrolyte; and (c) electrophoretic mobility with experimental results of Semenov et al. (Reference Semenov, Raafatnia, Sega, Lobaskin, Holm and Kremer2013) at $\sigma ^{*}=-3.1\,\rm mC\,\rm m^-{^2}$ for a rigid particle of diameter $2.23\,\unicode{x03BC}$ m in LaCl $_3$ electrolyte (blue line) and a mixture of LaCl $_3$ with 0.01 M KCl electrolyte (red line). In (b) and (c), symbols $\Delta$ , Condition-2; O, Condition-3.

We have also compared our computed electrophoretic mobility based on the MNPDC model with the experimental results of Semenov et al. (Reference Semenov, Raafatnia, Sega, Lobaskin, Holm and Kremer2013) for a rigid colloid ( $\Gamma =1$ ) in multivalent LaCl $_3$ as well as mixed electrolyte composed of LaCl $_3$ and KCl in figure 2(c). Our results show a good agreement with the experimental results, and a change of sign in electrophoretic mobility at a higher range of the bulk ionic concentration in the trivalent LaCl $_3$ electrolyte is evident. However, no sign reversal in $\mu _{_E}^{*}$ is found for a mixture of KCl and LaCl $_3$ electrolytes. It may be noted that the coupling parameter $\xi$ for the LaCl $_3$ electrolyte becomes 1.6 creating the ion–ion correlations relevant, which reduces due to the addition of the monovalent salt KCl. We have elaborated the impact on $\mu _{_E}^{*}$ of a soft particle due to the mixture of monovalent salt with trivalent electrolytes later in this section. We find that $\mu _{_E}^{*}$ based on the MNPDC model becomes identical with the MNPC model as the dielectric decrement effect becomes negligible for this lower range of charge density.

Figure 2(c) shows that our solutions based on the present boundary condition (2.15) and the boundary conditions governed by Condition-2 as well as Condition-3 produce the same $\mu _{_E}^{*}$ for the considered range of ${C}_{0}$ and $\sigma =-3.1$ mC m $^{-2}$ . It may be noted that for this present range of ${C}_{0}$ for the larger particle size $b=1.115\,\unicode{x03BC}$ m of smaller $\sigma$ , the particle curvature has less significance as $\kappa b \gt 2500$ and ion steric interactions are negligible for this lower $\sigma$ . For this, the results based on these different additional boundary conditions do not vary by a large extent.

Figure 3. Variation of $\mu _{_E}$ (a) for different boundary conditions in the MNPC model when $Q_{fix}=-1.5$ , $\sigma ^{*}=-10\,\rm mC\,\rm m^-{^2}$ and in different models when (b) ${C}_{0}=1\,\rm mM$ ( $\kappa b=12.6$ ), $Q_{fix}=-1.5$ , (c) ${C}_{0}=50\,\rm mM$ ( $\kappa b=89$ ), $Q_{fix}=-1.5$ and (d) ${C}_{0}=1\,\rm mM$ , 50 mM, $\sigma ^{*}=-5\,\rm mC\,\rm m^-{^2}$ . The circular and square symbols in (b)–(d), respectively, represent the results of present WF analysis for MNPDC model and Ohshima (Reference Ohshima2000) for a step-like PEL.

We find in figure 3(a) for the moderate range of $C_0$ and $\sigma$ through our numerical simulations for MNPC model in which $\varepsilon$ is considered to be constant that, the overscreening and sign reversal in mobility occurs at a higher range of $\sigma$ when we impose Condition-2 or Condition-3 as the additional boundary condition. Similar observation is also made by Gupta et al. (Reference Gupta, Rajan, Ananth, Emily and Stone2020b ) and remarked that the choice of $l_c$ for the quantitative agreement in results obtained by different boundary conditions is challenging. Condition-2 may become questionable for $\kappa b \sim O(1)$ and at a higher range of $\sigma$ for which ion crowding is non-negligible. Condition-3 becomes identical with Condition-2 for $l_c=0$ on the charged surface. It may be noted that the boundary condition (2.15) yields vanishing ion correlations at the boundary, which is justified as the ion crowding in the close proximity of the highly charged surface diminishes the effects of correlations (Storey & Bazant Reference Storey and Bazant2012). It is also noted before that the global electroneutrality condition can be satisfied for any choice of $\kappa b$ by using the boundary condition (2.15). In addition, we find from figure 3(a) that the pattern of variation of $\mu _{_E}$ with ${C}_{0}$ , particularly for its higher range, obtained by either of these three types of additional boundary conditions are similar. For this, in the present study we use the widely adopted boundary condition (2.15) to analyse the ion–ion correlations.

5.2. Mobility reversal and polarity inversion of charge density in LaCl $_3$

The dependence of mobility on the core surface charge density at different values of the bulk ionic concentration ( $\kappa b$ ) is presented in figure 3(b,c). We obtain the mobility based on different models. The PNP model shows an occurrence of a local maxima in mobility for low to moderate range of $\kappa b$ . However, a monotonic pattern of $\mu _{_E}$ with $\sigma$ is found for $\kappa b \gg 1$ . This local maxima in mobility arises due to the stronger surface conduction. The occurrence of a local maxima in mobility of a colloid when varied with the $\zeta$ -potential is found by O’Brien & White (Reference O’Brien and White1978), which has been justified through the double layer polarization (DLP) leading to the surface conduction. For a soft particle, the DLP becomes significant due to the stronger electrosmotic flow induced by the PEL fixed charge. However, for a thinner Debye length ( $\kappa b \gt 2$ ), the Debye layer induced by the core does not extend the PEL and the core charge density has an insignificant effect on its electrophoresis as $\kappa b$ is increased. Our computed solution for the PNP-model follows the similar pattern as that of $\mu _{_E}$ determined by the theoretical model by Ohshima (Reference Ohshima2000) for the step-like PEL under the weak applied field consideration. A deviation of our results for $\nu _{1} \neq 0$ from the results of Ohshima (Reference Ohshima2000) for $\nu \to 0$ at a higher range of $C_0$ and $\sigma$ is justified as the electrophoresis becomes sensitive to the PEL electrostatic property at this higher $\kappa b$ and $\sigma$ . It may be noted that the theoretical analysis of Ohshima (Reference Ohshima2000) is identical with our WF analysis for the PNP model when a step-like PEL is considered.

Figure 3(b,c) shows that for the MNPC and MNPDC models, in which the ion–ion electrostatic correlation is incorporated, the mobility of a negatively charged particle changes sign from negative to positive (mobility reversal) as the surface charge density is varied. At a higher range of $\sigma$ the electrostatic coupling parameter $\xi$ becomes 51.5. In this case the counterion distribution in the vicinity of the charged surface is governed by the mutual repulsion and it may not obey the mean-field theory. This leads to the development of a condensed layer of counterions in the vicinity of the charged surface. This condensed layer normalizes the surface charge and attracts coions at the outer layer, which again attracts a layer of counterions and so on, leading to an alteration in the polarity of the EDL charge density. The formation of a counterion condensed layer in the vicinity of the core and the coion-dominated region in the EDL is discussed later in this section. The overscreening of the surface charge due to the excess accumulation of counterions in the condensed layer may lead to the mobility of the particle to reverse its direction (figure 3 b,c). The electric force on the particle may alter its direction when the electrostatic correlation effects are accounted for. For example, we find that the electric force on the soft particle for $\sigma ^{*}=-100$ mC m $^{-2}$ and $Q_{\textit{fix}}=-1.5$ at $C_0$ = 1 mM by the PNP model is $F_E=-14.486$ (corresponding to $\mu _{_E}=-0.684$ ), which becomes $F_{E}=32.19$ ( $\mu _{_E}=1.52\gt 0$ ) by MNPC model. The occurrence of such layered structure of EDL and mobility reversal cannot be explained by the mean-field-based electrokinetic models.

In both MNPC and MNPDC models the hydrodynamic steric interaction of ions is considered, which creates a saturation in counterions near the highly charged core. The dielectric decrement which is incorporated in the MNPDC model creates a Born energy difference of ions, which drags the ions towards the lower electric field region. This leads to a saturation in ions near a charged surface and an extension of the EDL. In addition, the spatial variation of the dielectric permittivity due to the dielectric decrement modifies the Maxwell stress and the Korteweg–Helmholtz force appears in the momentum equation. We find that at a higher ${C}_{0}$ for which the impact of the dielectric decrement is prominent, the MNPDC model determines the mobility reversal at a higher $-\sigma$ compared with the MNPC model. In the MNPDC model the dielectric permittivity of the medium becomes smaller near the charged surface, which creates a reduction in the charge storage capacity of the EDL, leading to an attenuation in counterion density. This amplifies the surface potential due to the attenuation of screening of surface charge as well as decrement in the correlative force of the counterions as the density of counterions reduces. For this, the impact of the ion–ion correlation manifests at a relatively higher $-\sigma$ when the dielectric decrement is considered (MNPDC-model). It is evident from the results that the impact of the dielectric decrement is prominent at a higher range of ${C}_{0}$ , i.e. $\kappa b \ge 1$ as the Born force amplifies at a higher ${C}_{0}$ .

Figure 3(d) shows that when the core and PEL are charged with the same polarity, an increment in $Q_{fix}$ at a fixed $\sigma$ does not induce a mobility reversal. The fixed charge density of the PEL attracts counterions and repels coions to increase the net space charge density and the electric force on the particle. The PEL charges have less relevance in forming the condensed layer of counterions. On the contrary, an increase in $-Q_{fix}$ enhances the electric force on the particle, leading to a higher $-\mu _{_E}$ . At a smaller Debye length ( $\kappa b\gg 2$ ) for which EDL does not extend beyond the PEL, the core charge density has a negligible influence on the electrophoresis of the soft particle and the mobility is dominated by the $Q_{fix}$ . For a rigid colloid, the mobility approaches zero as $\kappa b$ approaches infinity. However, the mobility of a charged soft particle attains a saturation limit as the Debye length tends to zero. For lower value of $\kappa b$ (larger Debye length), the mobility is proportional to the net charge density of the particle. The screening of core charge density enhances with the increase of $\kappa b$ , which creates a reduction in the mobility. Figure 3(d) shows that the variation of $Q_{fix}$ at a fixed $\sigma$ does not produce any significant difference in $\mu _{_E}$ between the MNPDC model and the MNPC-model implying that the dielectric decrement is relatively little effected by $Q_{fix}$ . At a lower $C_{0}$ the variation in $Q_{fix}$ does not affect appreciably the ion–ion correlations as well as counterion saturation. For this we find that the difference in $\mu _{_E}$ between MNPC and PNP models are unaffected as $Q_{fix}$ is varied at $C_0$ = 1 mM. However, at a higher $C_0$ = 50 mM a difference in $\mu _{_E}$ obtained by different models occurs by a small margin, i.e. 14.6 % at $Q_{fix}$ = –10.

In figure 3(b,c) we compared our WF analysis for the MNPDC model with the exact numerical solution. It may be noted that the scaled electric field $\Lambda =0.01938$ when $E_{0}=10^{4}\,\rm V\,m^-{^1}$ . Thus, the WF analysis is not expected to differ by a larger margin for the considered range of the imposed electric field. However, as is seen figure 3(b), we find that WF analysis overestimates the exact numerical solution at higher $\sigma ^{*}$ . At higher $\sigma ^{*}$ the nonlinear effects like surface conduction and ion relaxation become significant, which the WF analysis based on the first-order perturbation may not capture accurately. Therefore, our WF analysis, which is computationally cost effective, is valid for low-to-moderate range of surface charge density and weak applied fields.

The average space charge density of mobile ions at a distance $r$ from the origin is determined as

(5.1) \begin{equation} \rho _{e}^{S}=\frac {1}{2} \displaystyle \int _{0}^{\pi } \rho _{e} \sin \theta \, \rm d\theta. \end{equation}

Figure 4(ac) shows that the ion steric and dielectric decrement effects create a saturation in counterions, leading to a saturation in $\rho _{e}^{S}$ near the particle core. It is evident that the space charge density near the charged surface obtained by the PNP model becomes enormous. Results based on the MNPDC model show that a distinct compact layer (condensed layer) of large $\rho _{e}^{S}\gt 0$ develops at the outer surface of the core. At the outer region of this compact layer $\rho _{e}^{S}$ rapidly decreases and changes sign from positive to negative before it eventually approaches to zero in the electrolyte region. As surface charge density is increased, $|\rho _{e}^{S}|$ becomes larger. We find that the PNP model shows no change of sign in polarity of the EDL charge density. In this case $\rho _{e}^{S}$ remains positive, approaches zero and no condensed layer develops. By comparing the $\rho _{e}^{S}$ obtained by the MNPDC and PNP models we find that the ion steric interaction, dielectric decrement and the ion–ion correlations modify the electric field near the core-shell interface significantly whereas, the shell-electrolyte interface ( $r=1+2.3 \nu _{1}=1.575$ ) is relatively little affected. Figure 4(c) shows that the variation in $Q_{fix}$ has an insignificant effect on $\rho _{e}^{S}$ in the condensed layer, which corroborates our previous finding that an increment in $Q_{fix}$ at a fixed $\sigma$ does not induce a reversal in $\mu _{_E}$ .

Figure 4. Radial distribution of $\rho _{e}^{S}$ at different (a) $\sigma ^{*}$ $(=-10,\,-50,\,-100$ mC m $^{-2}$ ) for ${C}_{0}$ = 1 mM, (b) $\sigma ^{*}$ $(=-10,\,-50,\,-100\,\rm mC\,\rm m^-{^2}$ ) for ${C}_{0}$ = 50 mM when $Q_{fix}=-1.5$ ( $\rho _{_{fix}}=-1.1\times 10^{4}\,\text {Cm}^-{^3}$ ) and (c) $Q_{fix}$ (= –1, –10, –20) when $\sigma ^{*}$ = $-100\,\rm mC\,\rm m^-{^2}$ , $C_{0}=1\,\rm mM$ . The inset shows the zoomed view of the charge density inversion. The dashed lines are the PNP model and the solid lines are the MNPDC model.

Figure 5(a) shows the variation of $\mu _{_E}$ with the bulk ionic concentration at a fixed value of the core charge density and the PEL volume charge density. The results based on the PNP model show that for a lower range of ${C}_0$ , $-\mu _{_E}$ enhances as ${C}_0$ is increased as the polarization effect is lower in this case, which manifests as ${C}_0$ becomes higher so as to have $\kappa b$ is of order 1. This leads to a local maxima in $\mu _{_E}$ by the PNP model. Results based on the MNPC and MNPDC models show that $\mu _{_E}\gt 0$ for a lower range of ${C}_0$ for which the surface potential is higher. In this case a larger accumulation of counterion occurs near the charged surface, creating a stronger ion–ion correlations. We find in the MNPDC model the dielectric decrement diminishes the counterion density near the charged surface, which attenuates the screening of charge density and enhances the electric force on the particle. This leads to a negative $\mu _{_E}$ at a higher range of ${C}_0$ when the dielectric decrement is accounted for.

The radial distribution of $\rho _{e}^{S}$ in the vicinity of the particle is depicted in figure 5(b). The occurrence of the counterion saturation by the MNPC and MNPDC models is evident from the results. A larger number of counterions accumulate in the PEL, which may reduce the Donnan potential in the shell. A condensed layer of counterions develops near the core ( $r=\Gamma$ ), which overcompensates the surface charge and draws a layer of coions in the EDL (figure 5 b). This may lead to a reversal in the soft particle mobility, as is seen in figure 5(a). Contrary to the PNP model, in which the concentration of counterions gradually approaches the bulk value as we move away from the particle surface, the concentration of counterions in the MNPC as well as MNPDC models undershoots the bulk value outside the condensed layer and coions overshoots the bulk value. This multilayer formation of ions refers to the ion crowding effect (Storey & Bazant Reference Storey and Bazant2012).

Figure 5. (a) Variation of $\mu _{_E}$ in different models with ${C}_{0}$ when $\sigma ^{*}$ = –100 mC m $^{-2}$ and $Q_{fix}=-1.5$ . Radial profile of (b) $\rho _e^{S}$ in different models when ${C}_{0}=10\,\rm mM$ , $\sigma ^{*}$ = –100 mC m $^{-2}$ and $Q_{fix}=-1.5$ ( $\rho _{_{fix}}=-1.1\times 10^{4}\,\text {C m}^{-3}$ ). (c) Variation of $\mu _{_E}$ with $\Gamma$ for $\sigma ^{*}=-100\,\rm mC\,\rm m^-{^2}$ at different $C_{0}$ when $Q_{fix}=-1.5$ .

In figure 5(b) we have quantified the impact of dielectric decrement on the counterion saturation by comparing with the result based on the MNPC model. It is evident that the MNPDC model provides a lower counterion concentration near the charged surface. Outside the condensed layer the MNPDC model shows a higher accumulation of counterions and a lower concentration of coions. As pointed-out by Nakayama & Andelman (Reference Nakayama and Andelman2015) and Gupta & Stone (Reference Gupta and Stone2018) both the dielectric decrement and ion steric interactions create a saturation in counterions near a charged surface, which justifies the occurrence of lower counterion concentration $n_1$ near the charged surface by the MNPDC model. Reduced concentration of $n_1$ attenuates the electrostatic correlations, which creates a small difference in $n_1$ and $n_2$ distribution between the MNPC and MNPDC models outside the condensed layer. We find that outside the condensed layer a slightly lower accumulation of coions and a higher concentration of counterions occurs in the MNPDC model. Nakayama & Andelman (Reference Nakayama and Andelman2015) determined a condition under which the counterion saturation in the EDL is dominated either by the dielectric decrement effect or by the ion steric effect. Due to the nonlinearity of the ion transport equation in the present case of electrophoresis we cannot provide conditions for which the dielectric decrement dominates over the ion steric interactions. In addition, the dielectric decrement creates a Maxwell stress and modifies the electric force. However, it is evident that both these effects manifests when the ion density in the EDL becomes stronger. From the expression of the Born force we find that the impact of the dielectric decrement augments for a multivalent counterion.

We consider in figure 5(c) the variation of mobility as the thickness of the PEL is varied at a fixed particle size $b$ . Increase of $\Gamma$ implies an increase of the core and consequently a reduction in the PEL. We find that the impact of the ion–ion correlation magnifies as the core size is increased, creating a positive mobility for a higher value of core surface potential, which occurs at a higher $\sigma$ for a lower range of ${C}_{0}$ .

Figure 6. Contour plot for the mobile space charge distribution $\rho _{e}=\sum _{i} z_{i} n_{i}$ and streamlines in (a) PNP-model at $C_{0}=1\,\rm mM$ and $Q_{fix}=-1.5$ ; (b) MNPDC-model at $C_{0}=1\,\rm mM$ and $Q_{fix}=-1.5$ ; and (c) MNPDC-model at $C_{0}=50\,\rm mM$ and $Q_{fix}=-50$ when $\sigma ^{*}=-100\,\rm mC\,\rm m^-{^2}$ . The dashed circle indicates the interface of the PEL–electrolyte.

Figure 7. Variation of $\mu _{_E}$ with $Q_{fix}$ for various $\sigma ^{*}$ = –10, –50, –100 mC m $^{-2}$ at ${C}_{0}=50\,\rm mM$ (solid lines) and ${C}_{0}=1$ mM (dashed lines) in MNPDC model. (b) Critical value of $\sigma ^{*}_{c}$ at different $Q_{fix}$ for which $\mu _{_E}=0$ .

The streamline pattern and the mobile charge distribution around the soft particle obtained by different models is shown in figure 6(ac). For the considered values of the parameters the mobility is negative based on the PNP model and it is positive when evaluated by the MNPDC model. The development of the EDL around the core is evident from the results. We find that in the PNP model the charge density of mobile ions is positive, i.e. counterion-dominated region develops around the negatively charged core and the negatively charged PEL. In this case the charge density gradually decreases and approaches to electroneutrality as we move away from the core. The negatively charged particle moves along the $z\lt 0$ direction and the mobile counterions around the particle creates an electro-osmotic flow along $z\gt 0$ direction. Results based on the MNPDC model (figure 6 b) show the development of a condensed layer of counterions around the outer surface of the core. This condensed layer of counterions neutralizes the core charge density and draws coions in the EDL, which leads to reversal in polarity of the EDL. The mobility based on the MNPDC model is positive and the coions in the EDL creates an electroosmosis along the $z\lt 0$ direction. At a higher C $_{0}$ (figure 6 c) the screening of the core charge density magnifies, creating a weaker condensed layer of counterions and the density of coions in EDL becomes lower than the case considered in figure 6(b). We find that the streamlines penetrate the PEL without deformation. This shows that the resistance created by the porous layer is low enough to induce a boundary layer at the fluid-PEL interface. For the present highly permeable PEL the velocity within the PEL region (Darcy velocity) evolves the interface velocity within a region of thickness of the order of $1/\lambda _{0}$ . Thus, no boundary-layer-type region develops at the interface between the PEL and electrolyte at this high screening length $\lambda _{0}^{-1}$ . For this, no EDL develops at the PEL–electrolyte interface.

Figure 7(a) shows that for a higher range of $\sigma$ in which the electrostatic correlations become significant, a positive mobility for the considered range of ${-}Q_{fix}$ is created. This positive $\mu _{_E}$ increases linearly as $Q_{fix}$ increases from negative to positive value. This positive $\mu _{_E}$ declines with the increase of $C_0$ and reverses its sign from positive to negative as the screening of the core charge is amplified at a higher ${C}_0$ . Results show that $\mu _{_E}\gt 0$ decreases as ${-}Q_{fix}$ enhances as the particle experiences a larger electric force, which can overcome the overscreening of core charge occuring due to the formation of condensed layer of counterions on the charged core. We find that $-\mu _{_E}$ is higher than $\mu _{_E}$ as the electric force on the soft particle becomes higher when both $\sigma$ and $Q_{fix}$ are of same sign. Figure 7(a) also shows that at a thinner Debye length, i.e. at a higher $C_{0}$ the dependence of mobility on the surface charge density $\sigma$ is less prominent than the case of thicker Debye length. At higher $C_{0}$ for which $\kappa b\gt 2$ , the EDL does not extend beyond the PEL. Consequently, the impact of the core charge density gradually diminishes with the increase of $\kappa b$ , leading to the impact of PEL charge density to dominate the $\mu _E$ . At a smaller Debye length the variation of $\mu _{_E}$ with $Q_{fix}$ is linear as the DLP effect is diminished and the ion transport within the PEL is governed by a linear diffusion mechanism.

Knowledge of the particle charge density for which $\mu _{_E}$ becomes zero is important in particle trapping and several other situations (Morales et al. Reference Morales, Lin and Zahn2012; Raafatnia et al. Reference Raafatnia, Hickey and Holm2014,Reference Raafatnia, Hickey and Holm2015; Moussa et al. Reference Moussa, Caillet, Town and Duval2015; Shin et al. Reference Shin, Ault, Toda-Peters and Shen2020; Cardenas-Benitez et al. Reference Cardenas-Benitez, Jind, Gallo-Villanueva, Martinez-Chapa, Lapizco-Encinas and Perez-Gonzalez2020). We have shown that the particle can have positive mobility even when both $\sigma$ and $Q_{fix}$ are negative when ion–ion correlations are incorporated. Figure 7(b) shows the critical $-\sigma$ at a fixed $Q_{fix}( =-1.5, 0 )$ at which mobility changes from negative to positive at different $C_{0}$ . We find that this reversal from negative $\mu _{_E}$ to positive $\mu _{_E}$ occurs at an increased value of $-\sigma$ when ${C}_0$ is increased. The critical $-\sigma$ increases as $-Q_{fix}$ is increased as the electric force on the particle is increased.

Figure 8. Contour plot for space charge distribution and streamlines in MNPDC model at (a) $C_{0}=1\,\rm mM$ ( $\kappa b=12.6$ ) and $\rho _{_{fix}}=-0.1\times 10^{7}\,\rm C\,\rm m^-{^3}$ ( $Q_{fix}=-136.8$ ); (b) $C_{0}=100\,\rm mM$ and $\rho _{fix}=-0.1\times 10^{7}\,\rm C\,\rm m^-{^3}$ ; and (c) $C_{0}=100\,\rm mM$ ( $\kappa b=126$ ) and $\rho _{fix}=-3.5\times 10^{7}\,\rm C\,\rm m^-{^3}$ ( $Q_{fix}=-4788$ ), when $\sigma ^{*}=-100\,\rm mC\,\rm m^-{^2}$ .

The charge density contours and streamlines in and around the soft particle for a higher $Q_{fix}$ is presented in figure 8(a–c). The soft particle mobility remains negative at this higher $-Q_{fix}$ . We find from figure 8(a) that for $\kappa b=12.6$ , a compact layer of counterions forms adjacent to the core and a coion-dominated region develops at the outer layer of this compact layer. However, the electric force on the soft particle at this larger $Q_{fix}$ overwhelmed the overscreening of the core charge so that the mobility remains negative. The negative fixed charge of the PEL draws counterions beyond the coion-dominated region to make $\rho _{e}\gt 0$ . At this higher $C_0$ the EDL contracts, which leads to a contraction of the condensed layer and also, the coion dominated region (figure 8 b). At this higher $C_0$ the shielding of PEL fixed charges amplifies and a Donnan potential develops at the PEL, leading to a constant space charge density within the PEL. We find that no coion-dominated region forms at a higher $-Q_{fix}$ when EDL is considered to confine within the PEL, i.e $\kappa b\gg 2$ . At this higher $-Q_{fix}$ the coions are repelled from the PEL region. For this $\rho _{e}$ remains positive and gradually decays to zero.

5.3. Effects of counterion size and mixture of monovalent electrolyte

The correlation length does not depend implicitly on the ion size however, the number density of ions varies with its size due to the consideration of steric interactions. Thus, the ion size is expected to have a strong impact on mobility in the modified model. The ion size effect on the electrostatic correlations for a PE is studied by Hsiao (Reference Hsiao2008) in which the anionic PE dissociates monovalent cations and tetravalent cations whereas, monovalent anions are dissociated from the salt. In figure 9(a–c) we consider three salts of trivalent counterions with different ion size. We find that the impact of the ion correlations on mobility is stronger for a lower sized counterions and the positive $\mu _{_E}$ becomes higher. However, the negative mobility, in which correlation effect is insignificant, becomes higher for larger-sized counterions as the shielding effect attenuates due to the reduction in counterion density in EDL. In addition to the lower steric interactions, the smaller-sized ions reduce the dielectric decrement. These together create a higher counterion concentration in the EDL as its size becomes smaller. The average charge density as presented in figure 9(c) shows a larger accumulation of counterions in the EDL as the counterion size is reduced. A larger accumulation of counterions in the condensed layer draws a larger coion density at the outer side of the condensed layer leading to a stronger reversal in the sign of $\rho _{e}^{S}$ , as is evident from figure 9(c). It is evident that in the MNPDC model, overscreening of surface charge attenuates and hence, the occurrence of mobility reversal is suppressed. This is justified from the distribution of the mobile charge density (figure 9 c), which shows a reduction in counterion density in the compact layer when the MNPDC model is considered.

The electrophoresis in a mixture of monovalent (LiCl) and trivalent ( ${\rm LaCl}_{3}$ ) electrolytes is illustrated in figure 10(a,b). Existing experimental studies (Quesada-Pérez et al. Reference Quesada-Pérez, González-Tovar, Martín-Molina, Lozada-Cassou and Hidalgo-A Ivarez2005; Lenz & Holm Reference Lenz and Holm2008; Semenov et al. Reference Semenov, Raafatnia, Sega, Lobaskin, Holm and Kremer2013) as well as the theoretical analyses (Pianegonda et al. Reference Pianegonda, Barbosa and Levin2005; Chen et al. Reference Chen, Ni, Wang, Xu and Li2008; Agrawal & Wang Reference Agrawal and Wang2022; Yang et al. Reference Yang, Buyukdagli, Scacchi, Sammalkorpi and Ala-Nissila2023) demonstrate that the inversion in polarity of the EDL charge density near a charged surface significantly modifies when a monovalent salt is added to a multivalent salt. Figure 10(a) shows that at a lower range of $\sigma$ for which the correlation effect is low, an addition of the monovalent LiCl electrolyte enhances $-\mu _{_E}$ . At a larger concentration of LiCl, i.e. $C_{\text {LiCl}}$ the reversal in mobility is absent and the mobility remains negative for the considered range of $-\sigma$ . At an enhanced $C_{\text {LiCl}}$ the EDL is dominated by the monovalent counterions, which leads to the lowering of the electric coupling parameter $\xi$ , resulting in a reduction in the impact of the ion–ion electrostatic correlations (Mukhina et al. Reference Mukhina, Hemmerle, Rondelli, Gerelli, Fragneto, Daillant and Charitat2019). For this, an increment in $C_{\text {LiCl}}$ gradually reduces the overscreening and the mobility reversal. We find that at a lower $C_{\text {LiCl}}$ where $\mu _{_E}\gt 0$ an increase in $-\sigma$ increases $\mu _E\gt 0$ . Increment in $-\sigma$ also increases the trivalent counterions in the EDL, leading to a stronger condensed layer in the mixed electrolyte, which results in positive $\mu _E$ , which increases gradually with $-\sigma$ . This also justifies the occurrence of decrement in $-\mu _{_E}$ with $\sigma$ at a higher $C_{\text {LiCl}}$ due to the interplay between the monovalent and trivalent counterions in the EDL.

Figure 9. Variation of $\mu _{_E}$ with (a) $\sigma ^{*}$ at ${C}_{0}=10\,\rm mM$ , and (b) ${C}_{0}$ at $\sigma ^{*}=-100\,\rm mC\,m^{-2}$ for different trivalent salts when $Q_{fix}=-1.5$ . (c) Radial distribution of $\rho _e^{S}$ at ${C}_{0}=10\,\rm mM$ and $\sigma ^{*}=-200\,\rm mC\,m^{-2}$ . Here MNPC are shown with dashed lines and MNPDC with solid lines.

Figure 10. Variation of $\mu _{_E}$ obtained by the MNPDC model in a mixture of electrolytes with (a) $\sigma ^{*}$ for 10 mM of LaCl $_3$ at various $C_{\text {LiCl}}$ (= 0, 10, 50, 150 mM), and (b) $C_{\text {LiCl}}$ at $\sigma ^{*}=-100\,\rm mC\,\rm m^-{^2}$ for various trivalent salts of bulk concentration 10 mM when $Q_{fix}=-1.5$ . (c) Radial profile of $\rho _e^{S}$ for 10 mM of LaCl $_3$ at $\sigma =-100\,\rm mC\,\rm m^-{^2}$ for various $C_{\text {LiCl}}$ (= 0, 10, 50, 150 mM).

The variation of mobility with the concentration of $C_{\text {LiCl}}$ at a fixed $\sigma$ in a mixed electrolyte consisting LiCl and different salts of trivalent counterion of different size is shown in figure 10(b). Increase in $C_{\text {LiCl}}$ reduces the positive mobility whereas, it increases $-\mu _{_E}$ . As noted before, with the increase of $C_{\text {LiCl}}$ the accumulation of monovalent counterions in the EDL enhances, which declines the overscreening of the surface charge and coion accumulation in the EDL. This creates an increment in $-\mu _{_E}$ . The average space charge density $\rho _{e}^{S}$ distribution shows that the ion strength in the condensed layer reduces as $C_{\text {LiCl}}$ is increased. The reversal in the space charge density attenuates as $C_{\text {LiCl}}$ is increased (figure 10 c). This justifies the reduction of positive $\mu _{_E}$ with the increase of $C_{\text {LiCl}}$ .

5.4. Thin EDL consideration

In the limit of a very thin Debye layer ( $\kappa b \gg 1$ ) screening cloud is confined to very close to the particle surface, and beyond this region, the fluid is electroneutral, the local radius of curvature of the surface can be considered much larger than the Debye length. Under this approximation, the surface conduction, DLP and relaxation effects can be neglected and the variation of ion distribution along the EDL is negligible compared with the variation along the normal direction. Thus, the ion distribution in EDL is governed by the EDL potential (López-García et al. Reference López-García, Horno and Grosse2019) and hence, follow its equilibrium distribution (4.1). Consequently, the modified Poisson equation for the electric potential can be derived from (2.8) as

(5.2) \begin{equation} \bigg (\frac {l_{c}}{b}\bigg )^{2}\frac {d^{2} }{\rm d\it x^{2}}\left (\varepsilon \psi \right )- \frac {\rm d}{\rm d\it x}\left (\varepsilon \frac {\rm d \phi }{\rm d\it x}\right ) = \left [ \frac {(\kappa b)^{2}}{2} \sum _{i} z_{i} n_{i}^{0} + g (x) Q_{fix} \right ] \end{equation}

where

(5.3) \begin{equation} \frac {d^{2} \phi }{\rm d\it x^{2}}=\psi. \end{equation}

Here, the $x$ -coordinate is along the normal to the charged surface. The boundary conditions for the electric potential at the charged core surface ( $x=0$ ) can be derived from (2.15) as

(5.4) \begin{equation} \frac {\rm d(\varepsilon \psi )}{\rm d\it x} - \varepsilon \frac {\rm d \phi }{ \rm d\it x}=\sigma,\,\,\,\,\,\,\frac {\rm d(\varepsilon \psi )}{\rm d\it x}=0 \end{equation}

and far from the surface ( $x \to \infty$ )

(5.5) \begin{equation} \frac {\rm d \phi }{ \rm d\it x}=0,\,\,\,\,\,\,\psi =0. \end{equation}

Under a stationary frame of reference fixed at the charged surface the electrolyte velocity field is $\boldsymbol {u}=u_{z}(x)\boldsymbol {e}_{z}$ , which is tangential to the particle surface along which the electric field is applied. Thus, $u_{z}=0$ on the surface $x=0$ and at a distance far away from the surface ( $x \to \infty$ ) the velocity approaches $-U_E$ , i.e. $\boldsymbol {u}=-U_{E}\boldsymbol {e}_{z}$ when $x\gg 1$ . The fluid flow equation is governed by the balance of the viscous force with the electric force, which is

(5.6) \begin{equation} \frac {d}{\rm d\it x}\left (\eta \frac {\rm d\it u_{z}}{\rm d\it x}\right )-\beta ^{2} \eta g(x) u_{z}=\Lambda \bigg [\frac {d}{\rm d\it x}\bigg ( \varepsilon \frac {\rm d \phi }{{\rm d}\it x}\bigg )-\bigg (\frac {l_c}{b}\bigg )^{2} \frac {d^{2}}{\rm d\it x^{2}}(\varepsilon \psi )+g(x) Q_{fix}\bigg ]. \end{equation}

A closed-form solution for this nonlinear problem may not be possible. Therefore, we use the finite difference method to solve for $\phi$ and subsequently, (5.6) for $u_z$ . Based on the velocity field $u_z$ , the electrophoretic mobility is obtained as $\mu _{_E}=-\displaystyle \lim _{x\to \infty } u_{z}/\Lambda$ .

However, for a rigid particle $\Gamma =1$ , which corresponds to $g(x)=0$ , the fluid flow equation (5.6) can be integrated to evaluate the electroosmotic velocity of the electrolyte as

(5.7) \begin{align} u_{z} & =\Lambda \bigg [\bigg (\frac {\varepsilon \phi }{\eta }-\frac {\varepsilon _{_S} \zeta }{\eta _{_S}}\bigg )-\bigg (\frac {l_c}{ b}\bigg )^{2}\bigg ( \frac {\varepsilon \psi }{\eta } -\frac {\varepsilon _{_S}\psi _{_S}}{\eta _{_S}} \bigg )\bigg ]\nonumber\\& \quad - \Lambda \bigg [\int _{0}^{x} \phi \frac {d}{\rm d\tau }\left ( \frac {\varepsilon }{\eta } \right ) \,{\rm d}\tau -\bigg (\frac {l_c}{ b}\bigg )^{2} \int _{0}^{x} \varepsilon \psi \frac{d}{\rm d\tau }\left (\frac {1}{\eta }\right ) \,\rm d\tau \bigg ]. \end{align}

Note that $\varepsilon _{_S}=\varepsilon |_{x=0}$ , $\eta _{_S}=\eta |_{x=0}$ and $\psi _{_S}=\psi |_{x=0}$ . Thus, the electrophoretic mobility of the rigid particle can be expressed in a closed form as

(5.8) \begin{equation} \mu _{_E}=-\lim _{x\to \infty }\frac {u_{z}}{\Lambda }=\frac {\varepsilon _{_S}\zeta }{\eta _{_S}}-\int _{0}^{\infty } \phi \frac {d}{{\rm d}\tau }\left ( \frac {\varepsilon }{\eta } \right ) \,{\rm d}\tau -\bigg (\frac {l_c}{b}\bigg )^{2}\bigg [\frac {\varepsilon _{_S}\psi _{_S}}{\eta _{_S}}-\int _{0}^{\infty } \varepsilon \psi \frac {d}{{\rm d}\tau }\left (\frac {1}{\eta }\right ) \,{\rm d}\tau \bigg ]. \end{equation}

If the electrostatic correlation effect is relaxed ( $l_{c}=0$ ), this solution matches exactly with the solution as derived by López-García et al. (Reference López-García, Horno and Grosse2019). For the PNP-model, (5.8) reduces to

(5.9) \begin{equation} u_{z}=\Lambda [\phi -\zeta ] \end{equation}

which is the well-known Helmholtz–Smoluchowski (Hunter Reference Hunter2013) velocity. The corresponding electrophoretic mobility is $\mu _{_E}=\zeta$ .

This thin-layer model can easily be implemented to obtain the mobility for a soft particle based on the MNPDC model. We have shown in figure 11(a) by comparing with our exact numerical solutions that this thin-layer model is in excellent agreement when $\kappa b=218$ . It is evident from figure 11(a) that the impact of the moderately charged core ( $\zeta \lt 1$ ) is diminished at a smaller Debye length and the mobility varies linearly with the PEL charge density. A linear increment of $\mu _{_E}$ at a higher range of $\sigma$ (i.e. $\zeta \gt 1$ ) is evident from figure 11(b). We have already shown based on the exact numerical solutions (figure 3 c) that at a higher $C_{0}$ the dielectric decrement suppress the mobility reversal. Similar trend in mobility based on the thin layer analysis is evident from figure 11(b).

Figure 11. Thin-layer model for $\mu _{_E}$ (a) comparison with the present numerical solution of MNPDC model for different $\sigma ^{*}=-10,\,-20,\,-40\,\rm mC\,\rm m^-{^2}$ at ${C}_0=0.3\,\rm M$ ; (b) as a function of $Q_{fix}$ for $\sigma ^{*}(=-100,\,-200,\,-300\,\rm mC\,\rm m^-{^2}$ ) at ${C}_0=0.5\,\rm M$ .

6. Conclusion

Based on the continuum hypothesis, a mathematical model is developed to incorporate the ion–ion correlations on the electrophoresis of a highly charged soft particle. The ions are considered to be of finite size, which create hydrodynamic steric interactions and the viscosity of the suspension medium to vary with the local ionic volume fraction. The dielectric permittivity of the medium is considered to depend on the local ionic concentration, which arises due to the formation of a hydration shell around the electrolyte ions. The strong Columbic force near a highly charged surface creates a condensed layer of counterions, in which the ion distribution is governed by the mutual repulsion. This condensed layer neutralizes the core charge and attracts coions in the EDL, which eventually leads to a reversal of mobility of the soft particle. The PEL fixed charge density of same polarity as that of the core prevents the accumulation of coions in the EDL and enhances the electric force on the particle, which results in the suppression of the mobility reversal. The charge density at the PEL–electrolyte interface is not affected by the ion–ion correlations for the highly permeable PEL. The ion steric interactions and the dielectric decrement reduce the enormous growth of the counterions near a highly charged surface. These effects attenuate the ion correlative force due to the occurrence of counterion saturation in the condensed layer. The formation of a condensed layer and charge density oscillation is elaborated in the present continuum model. The density of the counterions in the condensed layer reduces as the counterion size is increased. This creates a reduction in the correlative force. Our results show that the mobility reversal and charge density overscreening can be suppressed by mixing salt of monovalent counterions.

We have developed a simplified model based on a WF consideration. This simplified model agrees perfectly with the exact numerical model for an imposed electric field of the order of $10^4\,\rm V\,\rm m^-{^1}$ . This WF analysis is further simplified under a thin-layer consideration. The thin-layer analysis which produces accurate results for high electrolyte concentration is cost-effective compared with the full numerical and weak field analysis. An integral form for the electrophoretic mobility of a charged rigid colloid is further derived from the thin EDL analysis.

Funding.

Financial support received from the Anusandhan National Research Foundation, Government of India (grant no. CRG/2022/005758) is gratefully acknowledged.

Declaration of interests.

The authors report no conflict of interest.

Appendix A. Coefficients appearing in the ODEs in WF analysis

The coefficients $N_{{ij}}$ of (4.7) are given by $N_{{ij}}=n_{j}^{0}\, \,\,\bar{\!\!\boldsymbol{A}}_{{ij}}/|A|$ , where $\,\,\bar{\!\!\boldsymbol{A}}_{{ij}}$ is the $(ij)^{th}$ element of the adjoint matrix of $\boldsymbol{A}=(\boldsymbol{A}_{{ij}})_{m\times m}$ and $|A|$ is the determinant of the matrix $\boldsymbol{A}$ . Note that $\boldsymbol{A}_{{ij}}=n_{i}^{0} (Q_{ji}+\alpha _{j}\ ({B_{i}}/{(\varepsilon ^{0})^{2}})$ if $i \neq j$ and $\boldsymbol{A}_{{ii}}=1+n_{i}^{0} (Q_{ii}+\alpha _{i}\ ({B_{i}}/{(\varepsilon ^{0})^{2}}))$ and m is the number of ionic species present in the ionized fluid. Here the coefficients $Q_{ji}$ are obtained from $\delta \mu _{i}^{{ex}}$ through the relation $\delta \mu _{i}^{{ex}}=\sum _{j} Q_{ji} \delta n_{j}$ . Thus,

(A1) \begin{equation} Q_{ji}=\frac {4 \pi }{3} {I_{0}} \left[ \frac {\partial \mu _{i}^{\text {ex}} }{ \partial \chi _{0}}\bigg |_{\chi _{0}^{0}} + \frac {\partial \mu _{i}^{\text {ex}} }{ \partial \chi _{1}}\bigg |_{\chi _{1}^{0}} \tau _{j} + \frac {\partial \mu _{i}^{\text {ex}} }{ \partial \chi _{2}}\bigg |_{\chi _{2}^{0}} \tau _{j}^{2} + \frac {\partial \mu _{i}^{\text {ex}} }{ \partial \chi }\bigg |_{\chi ^{0}} \tau _{j}^{3} \right]. \end{equation}

The other coefficients involved in (4.8), (4.13) are

(A2) \begin{equation} K^{\prime\prime}_{{ij}}= \delta _{c}^{2} \psi ^{0} \alpha _{i} N_{{ij}}, \end{equation}
(A3) \begin{equation} K^{\prime}_{{ij}}=2 \delta _{c}^{2} \psi ^{0} \alpha _{i} \frac {{\rm d} N_{{ij}}}{\rm d\it r} + \left( 2 \delta _{c}^{2}\frac {\rm d \psi ^{0}}{\rm d\it r}+ 2 \delta _{c}^{2} \frac {\psi ^{0}}{r}-(\kappa b)^{2} \frac {\rm d \phi ^{0}}{\rm d\it r} \right) \alpha _{i}N_{{ij}}, \end{equation}
(A4) \begin{align} K_{{ij}} & =\frac {(\kappa b)^{4}}{2} z_{i} N_{{ij}} + \delta _{c}^{2} \psi ^{0} \alpha _{i} L N_{{ij}} + \left(2 \delta _{c}^{2} \frac {\rm d \psi ^{0}}{\rm d\it r} -(\kappa b)^{2} \frac {\rm d \phi ^{0}}{\rm d\it r} \right)\alpha _{i}\frac {{\rm{d}} N_{{ij}}}{\rm d\it r}\nonumber\\& \quad + \left[\delta _{c}^{2} \left( \frac {d^{2} \psi ^{0}}{\rm d\it r^{2}}+\frac {2}{r}\frac {\rm d \psi ^{0}}{\rm d\it r} \right) -(\kappa b)^{2}\psi ^{0} \right]\alpha _{i}N_{{ij}}, \end{align}
(A5) \begin{equation} F_{1}=\delta _{c}^{2} \varepsilon ^{0}+2(\psi ^{0})^{2} \left( \frac {\delta _{c}}{\kappa b} \right)^{4} \sum _{i,j} \alpha _{i} \alpha _{j} N_{{ij}}, \end{equation}
(A6) \begin{equation} F_{2}=2\delta _{c}^{2}\frac {\rm d \varepsilon ^{0}}{\rm d\it r}+2 \left(\frac {\delta _{c}}{\kappa b} \right)^{2}\frac {\rm d \phi ^{0}}{\rm d\it r} \bigg \{2 \left(\frac {\delta _{c}}{\kappa b} \right)^{2}\frac {\rm d\psi ^{0}}{\rm d\it r}-\frac {\rm d\phi ^{0}}{\rm d\it r}\bigg \}\sum _{i,j} \alpha _{i} \alpha _{j} N_{{ij}}, \end{equation}
(A7) \begin{align} F_{3} & =\delta _{c}^{2} \left( \frac {d^{2}\varepsilon ^{0}}{\rm d\it r^{2}} + \frac {2}{r} \frac {\rm d \varepsilon ^{0}}{\rm d\it r} \right) -(\kappa b)^{2} \varepsilon ^{0}-\delta _{c}^{2}\psi ^{0}\sum _{i,j}z_{i}\alpha _{j} N_{{ij}}\nonumber\\& \quad +2 \left(\frac {\delta _{c}}{\kappa b} \right)^{2} \left[ 2 \left(\frac {\delta _{c}}{\kappa b} \right)^{2}\frac {\rm d\psi ^{0}}{\rm d\it r}-\frac {\rm d\phi ^{0}}{\rm d\it r} \right] \left[\sum _{i,j} \alpha _{i} \alpha _{j} \left( \psi ^{0} \frac {{\rm d} N_{{ij}}}{\rm d\it r}+\frac {\rm d\psi ^{0}}{\rm d\it r} N_{{ij}} \right) \right]\nonumber\\ & \quad +2\psi ^{0} \left(\frac {\delta _{c}}{\kappa b} \right)^{4} \left[\sum _{i,j} \alpha _{i} \alpha _{j} \bigg \{ \psi ^{0} \frac {d^{2} N_{{ij}}}{\rm d\it r^{2}}+ 2 \left(\frac {\rm d\psi ^{0}}{\rm d\it r}+\frac {\psi ^{0}}{r} \right)\frac {{\rm{d}}N_{{ij}}}{\rm d\it r}\right.\nonumber\\& \qquad\qquad\qquad\qquad \left. + \left(\frac {d^{2}\psi ^{0}}{\rm d\it r^{2}}+\frac {2}{r}\frac {\rm d\psi ^{0}}{\rm d\it r} \right)N_{{ij}}\bigg \} \right], \end{align}
(A8) \begin{align} F_{4} & = 2\frac {\rm d\phi ^{0}}{\rm d\it r}\bigg \{\frac {\rm d\phi ^{0}}{\rm d\it r}-2 \left(\frac {\delta _{c}}{\kappa b} \right)^{2}\frac {\rm d\psi ^{0}}{\rm d\it r}\bigg \}\sum _{i,j} \alpha _{i} \alpha _{j} N_{{ij}}\nonumber\\& \quad -4\psi ^{0} \left(\frac {\delta _{c}}{\kappa b} \right)^{2}\sum _{i,j} \alpha _{i}\alpha _{j} \bigg \{\frac {\rm d\phi ^{0}}{\rm d\it r}\frac {{\rm{d}} N_{{ij}}}{\rm d\it r}+\frac {d^{2} \phi ^{0}}{\rm d\it r^{2}} N_{{ij}}\bigg \}, \end{align}

(A9) \begin{align} F_{5} & =(\kappa b)^{2} \bigg\{\frac{\rm d\varepsilon^{0}}{\rm d\it r}-\frac{\rm d\phi^{0}}{\rm d\it r}\sum_{i,j}z_{i}\alpha_{j}N_{{ij}}\bigg\}\nonumber\\& \quad +2\bigg\{\frac{\rm d\phi^{0}}{\rm d\it r}-2\bigg(\frac{\delta_{c}}{\kappa b}\bigg)^{2}\frac{\rm d\psi^{0}}{\rm d\it r}\bigg\} \sum_{i,j}\alpha_{i}\alpha_{j}\bigg\{\frac{\rm d\phi^{0}}{\rm d\it r}\frac{{\rm{d}} N_{{ij}}}{\rm d\it r}+\frac{{\rm d}^{2}\phi^{0}}{\rm d\it r^{2}}N_{{ij}}\bigg\}\nonumber\\& \quad -2\psi^{0}\bigg(\frac{\delta_{c}}{\kappa b}\bigg)^{2}\sum_{i,j}\alpha_{i}\alpha_{j}\bigg\{ \frac{\rm d\phi^{0}}{\rm d\it r}\frac{d^{2}N_{{ij}}}{\rm d\it r^{2}}+2\bigg(\frac{{\rm d}^{2}\phi^{0}}{\rm d\it r^{2}}+\frac{1}{r}\frac{\rm d\phi^{0}}{\rm d\it r}\bigg)\frac{{\rm{d}} N_{{ij}}}{\rm d\it r}\nonumber\\& \qquad\qquad\qquad\qquad\qquad\qquad +\bigg(\frac{\rm d\psi^{0}}{\rm d\it r}+\frac{4}{r^{2}}\frac{\rm d\phi^{0}}{\rm d\it r}\bigg)N_{{ij}}\bigg\}, \end{align}
(A10) \begin{equation} F_{6}=2\psi ^{0} \left(\frac {\delta _{c}}{\kappa b} \right)^{2}\frac {4}{r^{3}}\frac {\rm d\phi ^{0}}{\rm d\it r}\sum _{i,j}\alpha _{i}\alpha _{j}N_{{ij}}, \end{equation}
(A11) \begin{equation} G_{1}=\varepsilon ^{0}+2 \left(\frac {\psi ^{0}}{\kappa b}\right)^{2} \left(\frac {\delta _{c}}{\kappa b} \right)^{2} \sum _{i,j} \alpha _{i} \alpha _{j} N_{{ij}}, \end{equation}
(A12) \begin{align} G_{2} & =\frac {\rm d\varepsilon ^{0}}{\rm d\it r}+\frac {2}{(\kappa b)^{2}} \left(\frac {\delta _{c}}{\kappa b} \right)^{2}\sum _{i,j}\alpha _{i} \alpha _{j}\bigg \{2\psi ^{0}\frac {\rm d\psi ^{0}}{\rm d\it r}N_{{ij}}+(\psi ^{0})^{2}\frac {{\rm d}N_{{ij}}}{\rm d\it r}\bigg \}\nonumber\\& \quad +\frac {2\psi ^{0}}{(\kappa b)^{2}}\frac {\rm d\phi ^{0}}{\rm d\it r}\sum _{i,j}\alpha _{i}\alpha _{j}N_{{ij}}, \end{align}
(A13) \begin{equation} G_{3}=\frac {2}{(\kappa b)^{2}}\bigg \{ \left(\frac {\psi ^{0}}{r}\frac {\rm d\phi ^{0}}{\rm d\it r}-\frac {\rm d\psi ^{0}}{\rm d\it r}\frac {\rm d\phi ^{0}}{\rm d\it r}-\psi ^{0}\frac {{\rm d}^{2}\phi ^{0}}{\rm d\it r^{2}} \right)\sum _{i,j}\alpha _{i}\alpha _{j}N_{{ij}}-\psi ^{0} \frac {\rm d\phi ^{0}}{\rm d\it r} \sum _{i,j}\alpha _{i}\alpha _{j}\frac {{\rm d}N_{{ij}}}{\rm d\it r}\bigg \}, \end{equation}
(A14) \begin{equation} G_{4}=-\frac {4}{(\kappa b)^{2}}\frac {\psi ^{0}}{r^{2}}\frac {\rm d\phi ^{0}}{\rm d\it r}\sum _{i,j}\alpha _{i}\alpha _{j}N_{{ij}}\end{equation}.

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Figure 0

Figure 1. (a) Schematic view of the electrophoresis of a diffuse soft particle in a spherical coordinate system fixed at the particle centre, incorporating dielectric decrement and ion–ion correlations for finite-sized ions. (b) Formation of condensed layer of counterions on the core surface and inversion of polarity of the EDL charge in modified models is illustrated in. Saturation in counterion due to ion steric interactions and dielectric decrement is elaborated. (c) Polymer segment distribution in the diffuse soft particle is depicted in the right bottom panel.

Figure 1

Table 1. Physical properties of electrolytes.

Figure 2

Figure 2. Comparison of the (a) electrophoretic mobility with experimental results of López-Viota et al. (2009) and numerical results of Yeh et al. (2011) at $b=15$ nm, $Q_{fix}=-30.2$ ($\rho _{_{fix}}=-0.245 \times 10^{7} \text {C m}^{-3}$), $\beta =5.15$, $\Gamma =0.7$ for a soft particle with step-like PEL($\nu \to 0$) in NaCl electrolyte; (b) radial distribution of equilibrium potential with Lesniewska et al. (2023) when $\zeta =-5$ at the core, $\delta _{c}=2$, $\rho _{_{fix}}=-1.93 \times 10^{7}\,\rm C\,\rm m^-{^3}$ ($Q_{fix}=-2640.2$), ${C}_{0}=500\,\rm mM$, $\Gamma =0.91296$ for a soft particle with step-like PEL($\nu \to 0$) in KCl electrolyte; and (c) electrophoretic mobility with experimental results of Semenov et al. (2013) at $\sigma ^{*}=-3.1\,\rm mC\,\rm m^-{^2}$ for a rigid particle of diameter $2.23\,\unicode{x03BC}$m in LaCl$_3$ electrolyte (blue line) and a mixture of LaCl$_3$ with 0.01 M KCl electrolyte (red line). In (b) and (c), symbols $\Delta$, Condition-2; O, Condition-3.

Figure 3

Figure 3. Variation of $\mu _{_E}$ (a) for different boundary conditions in the MNPC model when $Q_{fix}=-1.5$, $\sigma ^{*}=-10\,\rm mC\,\rm m^-{^2}$ and in different models when (b) ${C}_{0}=1\,\rm mM$ ($\kappa b=12.6$), $Q_{fix}=-1.5$, (c) ${C}_{0}=50\,\rm mM$ ($\kappa b=89$), $Q_{fix}=-1.5$ and (d) ${C}_{0}=1\,\rm mM$, 50 mM, $\sigma ^{*}=-5\,\rm mC\,\rm m^-{^2}$. The circular and square symbols in (b)–(d), respectively, represent the results of present WF analysis for MNPDC model and Ohshima (2000) for a step-like PEL.

Figure 4

Figure 4. Radial distribution of $\rho _{e}^{S}$ at different (a) $\sigma ^{*}$$(=-10,\,-50,\,-100$ mC m$^{-2}$) for ${C}_{0}$ = 1 mM, (b) $\sigma ^{*}$$(=-10,\,-50,\,-100\,\rm mC\,\rm m^-{^2}$) for ${C}_{0}$ = 50 mM when $Q_{fix}=-1.5$ ($\rho _{_{fix}}=-1.1\times 10^{4}\,\text {Cm}^-{^3}$) and (c) $Q_{fix}$ (= –1, –10, –20) when $\sigma ^{*}$ = $-100\,\rm mC\,\rm m^-{^2}$, $C_{0}=1\,\rm mM$. The inset shows the zoomed view of the charge density inversion. The dashed lines are the PNP model and the solid lines are the MNPDC model.

Figure 5

Figure 5. (a) Variation of $\mu _{_E}$ in different models with ${C}_{0}$ when $\sigma ^{*}$ = –100 mC m$^{-2}$ and $Q_{fix}=-1.5$. Radial profile of (b) $\rho _e^{S}$ in different models when ${C}_{0}=10\,\rm mM$, $\sigma ^{*}$ = –100 mC m$^{-2}$ and $Q_{fix}=-1.5$ ($\rho _{_{fix}}=-1.1\times 10^{4}\,\text {C m}^{-3}$). (c) Variation of $\mu _{_E}$ with $\Gamma$ for $\sigma ^{*}=-100\,\rm mC\,\rm m^-{^2}$ at different $C_{0}$ when $Q_{fix}=-1.5$.

Figure 6

Figure 6. Contour plot for the mobile space charge distribution $\rho _{e}=\sum _{i} z_{i} n_{i}$ and streamlines in (a) PNP-model at $C_{0}=1\,\rm mM$ and $Q_{fix}=-1.5$; (b) MNPDC-model at $C_{0}=1\,\rm mM$ and $Q_{fix}=-1.5$; and (c) MNPDC-model at $C_{0}=50\,\rm mM$ and $Q_{fix}=-50$ when $\sigma ^{*}=-100\,\rm mC\,\rm m^-{^2}$. The dashed circle indicates the interface of the PEL–electrolyte.

Figure 7

Figure 7. Variation of $\mu _{_E}$ with $Q_{fix}$ for various $\sigma ^{*}$ = –10, –50, –100 mC m$^{-2}$ at ${C}_{0}=50\,\rm mM$ (solid lines) and ${C}_{0}=1$ mM (dashed lines) in MNPDC model. (b) Critical value of $\sigma ^{*}_{c}$ at different $Q_{fix}$ for which $\mu _{_E}=0$.

Figure 8

Figure 8. Contour plot for space charge distribution and streamlines in MNPDC model at (a) $C_{0}=1\,\rm mM$ ($\kappa b=12.6$) and $\rho _{_{fix}}=-0.1\times 10^{7}\,\rm C\,\rm m^-{^3}$ ($Q_{fix}=-136.8$); (b) $C_{0}=100\,\rm mM$ and $\rho _{fix}=-0.1\times 10^{7}\,\rm C\,\rm m^-{^3}$; and (c) $C_{0}=100\,\rm mM$ ($\kappa b=126$) and $\rho _{fix}=-3.5\times 10^{7}\,\rm C\,\rm m^-{^3}$ ($Q_{fix}=-4788$), when $\sigma ^{*}=-100\,\rm mC\,\rm m^-{^2}$.

Figure 9

Figure 9. Variation of $\mu _{_E}$ with (a) $\sigma ^{*}$ at ${C}_{0}=10\,\rm mM$, and (b) ${C}_{0}$ at $\sigma ^{*}=-100\,\rm mC\,m^{-2}$ for different trivalent salts when $Q_{fix}=-1.5$. (c) Radial distribution of $\rho _e^{S}$ at ${C}_{0}=10\,\rm mM$ and $\sigma ^{*}=-200\,\rm mC\,m^{-2}$. Here MNPC are shown with dashed lines and MNPDC with solid lines.

Figure 10

Figure 10. Variation of $\mu _{_E}$ obtained by the MNPDC model in a mixture of electrolytes with (a) $\sigma ^{*}$ for 10 mM of LaCl$_3$ at various $C_{\text {LiCl}}$ (= 0, 10, 50, 150 mM), and (b) $C_{\text {LiCl}}$ at $\sigma ^{*}=-100\,\rm mC\,\rm m^-{^2}$ for various trivalent salts of bulk concentration 10 mM when $Q_{fix}=-1.5$. (c) Radial profile of $\rho _e^{S}$ for 10 mM of LaCl$_3$ at $\sigma =-100\,\rm mC\,\rm m^-{^2}$ for various $C_{\text {LiCl}}$ (= 0, 10, 50, 150 mM).

Figure 11

Figure 11. Thin-layer model for $\mu _{_E}$(a) comparison with the present numerical solution of MNPDC model for different $\sigma ^{*}=-10,\,-20,\,-40\,\rm mC\,\rm m^-{^2}$ at ${C}_0=0.3\,\rm M$; (b) as a function of $Q_{fix}$ for $\sigma ^{*}(=-100,\,-200,\,-300\,\rm mC\,\rm m^-{^2}$) at ${C}_0=0.5\,\rm M$.