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. Author manuscript; available in PMC: 2025 Aug 1.
Cells and cellular organelles are encapsulated by nanometrically thin membranes whose main component is a lipid bilayer. In the presence of electric fields, the ion-impermeable lipid bilayer acts as a capacitor and supports a potential difference across the membrane. We analyze the charging dynamics of a planar membrane separating bulk solutions with different electrolyte concentrations upon the application of an applied uniform dc electric field. The membrane is modeled as a zero-thickness capacitive interface. The evolution of the electric potential and ion distributions in the bulk are solved for using the Poisson-Nernst-Planck equations. Asymptotic solutions are derived in the limit of thin Debye layers and weak fields (compared to the thermal electric potential).
I. INTRODUCTION
An electric potential difference is maintained across most cellular membranes in living cells. Modulation of the transmembrane electric field is a biologically important signal in many cellular functions and physiological processes [1–3]. The transmembrane potential can be changed intrinsically, through transport of ions across the membrane between the extracellular and intracellular spaces, or externally through application of electric fields. Electric fields are widely employed to manipulate biological cells and to assess membrane properties in vitro [4–10]. For example, the deformation of vesicles (closed membranes with nearly spherical shapes) in a uniform electric field is used to measure membrane capacitance [11] and viscosity [12].
To interpret the experiments, theoretical models for the membrane response to an applied electric field have been developed. For the simple geometry of a planar membrane [13,14], the models are based on either the Poisson-Nernst-Planck (PNP) equations [15–20] or the leaky dielectric model [21–24]. The latter treats the membrane as a planar capacitor with capacitance separating fluids with conductivity and , and predicts that the transmembrane potential increases exponentially in time until the entire voltage drop occurs across the membrane,
(1)
where
(2)
is the capacitor charging time. The result is that the charging time is system-size dependent; in this case the distance between the electrodes, , seems unphysical and motivates the present study. In reality, the fluid conductivity is not spatially uniform, since the concentration of the ions near the membrane deviates significantly from the bulk. Upon application of the electric field, the ions brought by conduction accumulate in a thin diffuse layer near the membrane physical surfaces [25]. Here, we analyze the evolution of these diffuse layers and their impact on the membrane-charging dynamics using the PNP equations. The previous studies [15–19] have considered only a symmetric membrane, i.e., a membrane separating solutions with the same electrolyte concentrations. However, in the experiments [11,26–29], the electrolyte concentrations inside and outside the vesicle are typically different, necessitating an analysis of asymmetric membranes. Here, we include the asymmetry in solution conductivity and investigate the impact of the difference in the electrolyte concentration on the transmembrane potential and membrane-charging dynamics.
The paper is organized as follows. Section II defines the model and governing equations. In Sec. III we derive an asymptotic solution of both transient and steady state of the time-dependent PNP model in the limit of thin Debye layers and weak electric field. In Sec. IV we present numerical results for the full problem and compare to the asymptotics.
II. PROBLEM FORMULATION
We consider a thin planar charge-free membrane placed between two parallel-plate electrodes that are distance apart. The problem is sketched in Fig. 1. The membrane separates solutions of 1:1 electrolytes with the same permittivity but different ion concentration, and . In this article, the subscripts and denote the right side and left side of the membrane. At , a dc voltage with magnitude is applied. The response of the ions to the electric field is described by the Nernst-Planck equations,
(3)
where in the absence of fluid flow, the flux of ions is
(4)
Here, is the diffusion coefficient, is the thermal energy, and represents the electric potential. We assume that all ions have the same diffusion coefficient , where is the ion mobility. The relation between the charge density and electric potential is given by the Poisson equation,
(5)
By introducing the charge density and average concentration , Eqs. (3)–(5) transform into
Setup of PNP model. A planar ion-impermeable membrane is at the middle of two electrodes in a simple dilute 1:1 electrolyte with different ion concentration . A voltage difference is applied at .
Since the focus is on the membrane-charging dynamics, the electrode polarization is ignored and we assume that the electrolyte is quasineutral with zero charge density near the electrode [18]. Accordingly, at the electrodes the boundary conditions are
(7)
and
(8)
The membrane is modeled as a zero-thickness interface with capacitance . Accordingly, the boundary conditions on the membrane are [17,18,30]
(9)
is the transmembrane potential. The Ampère-Maxwell law [31] in the limit of zero-thickness membrane leads to the current conservation condition at :
(10)
Note that the commonly used zero-flux boundary condition [25],
(11)
is obtained by taking the time derivatives of Eq. (9) and substituting them into Eq. (10). Since the membrane is impermeable to ions, there is no mass flux of ions through the membrane, and thus
(12)
Hereafter we nondimensionalize all variables using the scales in Table I. The diffuse layers near the membrane have characteristic widths given by
(13)
We define an effective Debye length
(14)
All important parameters are listed in Table II. The typical values of the physical parameters are listed in Table III.
TABLE I.
Nondimensionalization for the variables. Dimensionless variables are denoted with tilde ~ on top.
To summarize, the dimensionless model and boundary conditions, omitting the tilde over the variables, is
(15a)
(15b)
(15c)
The boundary conditions at the membrane are
(16a)
(16b)
(16c)
The dimensionless Ampère-Maxwell boundary conditions (10) at is
(17)
At the electrode , the boundary conditions are
(18a)
(18b)
(18c)
The initial conditions correspond to zero bulk charge and are consistent with the zero-thickness condition Eq. (16a):
(19a)
(19b)
(19c)
III. ASYMPTOTIC ANALYSIS FOR THIN DEBYE LAYERS
In this section we seek an asymptotic solution in the thin Debye layer limit. The limit is singular, as the solution to Eqs. (15a)–(15c) with cannot satisfy all boundary conditions (16a)–(18c) with nonzero charge density in the PNP model [25]. Therefore, matched asymptotic expansions are required to obtain the composite solutions.
The initial conditions (19a)–(19c) do not satisfy the boundary condition (16b). This implies a nonzero initial value of the transmembrane potential , which indicates the membrane in our zero-thickness model carries an artificial initial charge of order of . Therefore, the model will experience charge-relaxation dynamics over a timescale until the bulk currents balance at the membrane. This timescale is the bulk charge-relaxation time in the leaky dielectric model [32],
(20)
suppressing the and subscripts. Meanwhile, the bulk currents will charge the membrane and the Debye layers over a timescale [25]:
(21)
The ratio between the two timescales, using the values listed in Table III, is estimated to be
(22)
Thus, the bulk charge-relaxation is much faster than the membrane-capacitor charging. This implies that these two process are well separated in the overall dynamics. We carry out the asymptotic analyses corresponding to these processes in Secs. III A and III B separately, and in Sec. III C we give the composite solutions uniform in time.
A. Charge-relaxation dynamics
The formal asymptotics for the charge-relaxation dynamics is solved by matched asymptotics in space and Laplace transform in time. Details are provided in Appendix A. Here we present a physically intuitive approach to solve the charge-relaxation dynamics. The dimensionless charge-relaxation scale is after tentatively setting . Rescaling time as , the leading order of the PNP equations (15a)–(15c) results in
(23a)
(23b)
Since the membrane is not charging during at leading order and the initial transmembrane potential is of order , we assume there is no inner region during the and look for solutions valid in the whole space. Therefore, the leading-order potential is still linear and continuous across the membrane:
(24a)
(24b)
where are unknowns. Additionally, from the left side of Eq. (17) we have
(25)
Equation (25) is equivalent to the surface charge-relaxation dynamics in the leaky dielectric model [32]:
(26)
where is defined as the imbalance of the bulk charge density on the two sides of the membrane [22]. Solving Eqs. (23a)–(24b) and (25) with the leading order of initial conditions (19a)–(19c) results in
(27a)
(27b)
(27c)
Comparing Eqs. (20) and (27a) shows the effective conductivity in Eq. (20) is the average of two bulk fluid conductivities .
B. Membrane-charging dynamics
The short-time charge-relaxation dynamics at provides the initial conditions for the membrane-charging dynamics in the outer region :
(28a)
(28b)
(28c)
1. Nonlinear dynamics with finite voltage
Although shortly we will consider the weak-field assumption, we begin our analysis of the membrane-charging dynamics by assuming . A more rigorous matched asymptotic analysis in space is required to proceed at this stage. The outer “bulk” region is studied using a regular asymptotic expansion. The Poisson equation (15c) indicates that the charge density is at most second order:
(29a)
(29b)
(29c)
Substituting expansions (29a)–(29c) into Eqs. (15a)–(15c) eliminates the time dependence at leading order. Equations (15a) and (15b) indicate that the concentration is constant and the potential is linear in space:
(30a)
(30b)
where the bulk currents and are unknown. Equation (15c) shows the leading-order bulk charge density is also zero:
(31)
The outer-region expansions are matched with inner-layer expansions in the Debye layers. Variables , , and are used to denote concentration, density, and potential inside the Debye layers. Reformulations of Eqs. (15a)–(15c) using the inner coordinates near the membrane yield
(32a)
(32b)
(32c)
, , are expanded as follows:
(33a)
(33b)
(33c)
The boundary conditions are obtained from matching to :
(34a)
(34b)
(34c)
(34d)
After substituting expansions (33a)–(33c) into the inner equations (32a)–(32c), again, the time dependency vanishes at leading order. Utilizing the zero-flux boundary conditions (16b) and (16c), the leading-order inner equations inside the Debye layers become
(35a)
(35b)
(35c)
Equations (35a) and (35b) give the classical Gouy-Chapman profiles for the concentration and charge density. For convenience, excess voltages are defined as
Substituting Eqs. (37) into the Poisson equation, Eq. (35c), and solving the resulting equations subject to the matching conditions, Eq. (36b), yields
(38a)
(38b)
where and are integration constants to be determined by the boundary conditions at . Equations (38a) and (38b) along with Eqs. (37) describe the leading-order behavior of the inner solution. To obtain an explicit analytical solution, we assume that the applied voltage is small, , which enables us to linearize the solution. This calculation is conducted in the next section.
2. Linear dynamics with small voltage
The small voltage assumption implies that , since is linear with . This will become evident at the end of this section in Eqs. (50b) and (50c). Expanding Eq. (38a) with small yields the leading-order linearized potentials:
(39a)
(39b)
Substituting Eqs. (39a) and (39b) into the Robin-type boundary conditions (16a) at the membrane results in
(40)
In order to find the explicit time dependence of and , we can either do a full asymptotic analysis using Laplace transform, similar to the one described in Appendix A, or follow the approach of Ref. [25], which considers the evolution of the diffuse charge within the Debye layers, where is defined as the integral of the charge density inside the Debye layers. The leading order of is obtained from the inner Poisson equation, Eq. (35c), as
(41a)
Similarly,
(41b)
The time derivatives of are
(42a)
(42b)
The zero-flux boundary conditions (16b) and (16c) and the matching to derivatives (outer flux) are utilized along with the inner Nernst-Planck equations (32a) and (32b):
Equation (46) shows the bulk currents are continuous, so there is no net charge accumulated on the membrane at leading order. In fact, this conclusion is valid up to order of . A nonzero correction of order of is derived in Appendixes A and B and listed in Eq. (58). It also indicates that the appropriate initial condition for the timescale is indeed the “long-time” initial conditions (28b) and (28c) [25]. Hence, the initial conditions for are
(47a)
(47b)
Equation (47b) comes from the fixed voltage boundary condition (18a):
The leading-order composite solution is obtained by combining the charge-relaxation and membrane-charging asymptotic results as
(52a)
(52b)
(52c)
(52d)
with subscript indicating composite solution. The error equations, Eqs. (52a)–(52d), are of order . Note that substituting Eqs. (52a)–(52d) to Eq. (16b) does not yield the correct composite solution for the current , as the bulk current matches one order lower of inner current. It necessitates investigating the second order of inner PNP equation (details are provided in Appendix B) to obtain the corrected composite current solutions:
(53)
The composite solutions lead to the potential jump at the membrane (transmembrane potential) and the bulk region potential jump , with subscript indicating outer,
(54a)
(54b)
Since the bulk charge density is zero at leading order, we define the composite diffuse charge within the Debye layers as the integral of the charge density from the midpoint to the membrane, i.e., and . Using Eqs. (52c) we find
(55)
In fact, by substituting the derivatives of Eqs. (38a) into Eqs. (41a), (41b), and (16a), this conclusion (57) also holds true in the nonlinear regime . Additionally, Eqs. (40)–(41b) shows is linear with :
(56)
This indicates the net diffuse charge, , inside the Debye layers is zero at leading order (up to order of ),
(57)
The nonzero correction to the net diffuse charge appears at the order of (details in Appendixes A and B), hence the composite solution of net diffuse charge up to the order of , is
(58)
To get the full composite solutions starting from the “long-time” initial conditions (28b) and (28c), one simply removes terms involving in Eqs. (52a)–(53).
The steady-state solutions are obtained by pushing in Eqs. (52a)–(55). Note that setting , the steady state recovers the same solution as in Ref. [16], with the zero-thickness membrane and symmetric dielectric constants on each side, and as in Ref. [18] with zero flux at membrane.
D. Relation between the PNP and leaky dielectric model solutions
The dimensional membrane-charging timescale is
(59)
If we define an effective capacitance,
(60)
(61)
then the dimensional timescale of the PNP model has the same form as in leaky dielectric model Eq. (2):
(62)
This inspires us to examine the dynamics of the bulk region. Equation (30b) shows the dimensional bulk potential satisfies the Laplace equation:
(63)
Taking the time derivatives of Eq. (40), substituting Eqs. (45a)–(46) and then transforming back to dimensional variables leads to
(64)
Thus, the bulk region dynamics (63) and (64) from the PNP model is exactly the same as the leaky dielectric model [22]. Therefore, at leading order, if we combine two Debye layers and the membrane as a single capacitance, the PNP model is equivalent to the effective leaky-dielectric bulk region plus two Debye layers. This conclusion recovers the same result as Song et al. (2018) [20] with linearization.
IV. RESULTS AND DISCUSSION
In this section we present results obtained from both the asymptotic approximation (52a)–(55) and numerical solutions of the nonlinear PNP equations Eqs. (15a)–(16c), (18a)–(18c), with the “short-time” initial conditions Eq. (19a)–(19c). The numerical solution is performed with Dedalus [33], a Python package based on spectral method. The default dimensionless parameter setup for the simulations is , , , and . If not specified, parameters in all the subsequent figures use the same values as the default setup. The results for are omitted because they are obtained from R = 10 by replacing with and their profiles are symmetric to the profiles with w.r.t. the origin. If interested only in the membrane-charging dynamics, the numerical solution of Eqs. (15a)–(16a), (16c)–(18c) should be used with the “long-time” initial conditions Eqs. (28b) and (28c), instead of Eq. (16b).
A. Short-time charge-relaxation dynamics
The numerical results for the short-time evolution of the potential , charge density , and concentration variation are shown in Fig. 2, respectively. Concentration variation is the difference between concentration and bulk concentration, i.e., and . The asymptotic matches well with the numerical PNP solution, and both exhibit the fast charge-relaxation dynamics in the time range. Notably, the potential remains nearly continuous across the membrane and the Debye layers in all three figures, with visible changes only starting to occur after . This demonstrates that the dimensionless timescale of the short-time dynamics is indeed . However, the inner layers of charge density and depletion of concentration near the membrane indicate a small deviation from the asymptotic result in the short-time range, which appears to be lower order.
Numerical (solid line) and asymptotic (dashed line) transient states of the short-time charge-relaxation (CR) potential , density , and concentration variation (CV) with , 10 at (red), 0.001 (green), 0.005 (blue), 0.01 (pink), 0.05 (yellow), 0.1 (black) in timescale. The colors of the dashed line indicate the same time mark as the colors of the solid line. The rescaled represents the mapping to the function , which sets the membrane at 0 and electrodes at ±1. The vertical black dashed line in (b), (c), (e), (f) indicates the extent of the Debye layer . The parameter setup is , , .
B. Membrane-charging dynamics
1. Electric potential and ion distributions
The numerical results depicting membrane-charging transient states of , , and distributions during the membrane-charging regime are presented in Fig. 3, respectively. The composite asymptotic approximations are generally indistinguishable from the numerical results. As shown in Fig. 3, at the membrane the potential displays initial continuity followed by a growing jump, and the bulk potential approaches a constant at steady state. The Debye layers develop on a scale. Even though the charge density profile is asymmetric relative to the membrane, the net diffuse charge on the membrane remains zero at leading order.
Numerical (solid line) and asymptotic (dashed line) transient states of the membrane-charging (MC) potential , density , and concentration variation (CV) with , 10 at (red), 0.5 (green), 0.1 (blue), 2 (pink), 5 (black), in timescale. The colors of the dashed line indicate the same time mark as the colors of the solid line. The vertical black dashed line in (b), (c), (e), (f) indicates the extent of the Debye layer . The rescaled x is the same as in Fig. 2. The parameter setup is , , .
The electric potential and charge profiles reveal three regions along : a neutral outer region and two charged inner layers of width on either side of the membrane. The asymptotic approximations for and agree well with the numerical results. However, the concentration distribution for in Fig. 3 highlights a discrepancy in the leading-order asymptotic approximation of the concentration compared to the other distributions. While the composite asymptotic solutions accurately capture the behaviors of the Debye layer and bulk region [25], there are some small differences in the intermediate areas within the bulk region. However, these errors in the approximation of the concentration remain within the order of error tolerated by the asymptotics presented in Fig. 3, up to .
2. Transient and steady-state transmembrane potential and diffuse charge
The evolution and steady state of the transmembrane potential and the right-side diffuse charge for different membrane capacitance and initial concentration ratio are shown in Figs. 4 and 5. Since , it is sufficient to only present the profile of . Additionally, from Eq. (56) it is evident that is a linear function of for fixed , so a plot of as a function of is omitted as the behavior mirrors the plot. The evolution plots show that both and rise from zero monotonically to reach the steady state. A larger capacitance and a higher ratio of initial concentration contribute to a longer relaxation time. decreases as increases, while the diffuse charge increases. Conversely, both transmembrane potential and diffuse charge decrease with increasing .
Numerical (markers) and asymptotic (dashed line) distributions of transient transmembrane potential over time (, ) and steady-state over and in log scale with imposed voltage and . The colors of dashed line have the same legend as the colors of markers.
Numerical (markers) and asymptotic (dashed line) distributions of transient right-side diffuse charge over time (, ) and steady state over in log scale with imposed voltage and . The colors of dashed line have the same legend as the colors of markers.
With a small capacitance, the membrane stores little charge and the voltage difference imposed at the electrode occurs entirely across the membrane, similar to the predictions of the leaky dielectric model. Conversely, with a large capacitance, the membrane stores more charge, and the transmembrane potential decreases to zero, resulting in an early continuous potential. Both and exhibit symmetric distributions over log values of , as expected from the symmetric nature of scaling. The transmembrane potential and diffuse charge decrease with increasing asymmetry in the electrolyte concentration. Figures 4 and 5 also suggest that a larger imposed voltage results in a higher deviation from the asymptotic result for both and , as nonlinear effects become apparent with increasing voltage .
3. Net diffuse charge on the membrane
Figure 6 shows that the composite asymptotic approximations of net diffuse charge Eq. (58) match well with the numerical results. For , a small amount of charge of order is accumulated inside Debye layer during the short time and then dissipated during the long time . The net diffuse charge in the combined Debye layers remains zero up to order of , but the asymmetry of conductivity causes a transient accumulation and relaxation of charge at order , due to the imbalance of the bulk currents in the short time . The symmetry case has zero net diffuse charge because the bulk currents are balanced all the time.
Numerical (markers) and asymptotic (dashed line) distributions of net diffuse charge over time in log scale with , 10, 100. The colors of the dashed line have the same legend as the colors of markers. The vertical black dashed line indicates the separation of short timescale and long timescale . The parameter setup is and
V. CONCLUSION
We have analyzed the electrokinetics across a zero-thickness, nonconducting membrane separating electrolyte solutions with different ion concentrations. The asymptotic approximations agree well with the numerical results. In the limit of , the asymmetry in conductivity gives rise to a “short-time” charge-relaxation dynamics, accompanied by appearance of net diffuse charge in the Debye layers, followed by a “long-time” dynamics where the net diffuse charge near the membrane dissipates. The numerical and asymptotic results show the “short” and “long” timescales are sensitive to the conductivity mismatch. The asymmetry slows the membrane charging, increases the net diffuse charge in the membrane, and decreases the transmembrane potential.
The interpretation of experiments typically relies on the leaky dielectric model (LDM) [21,34], although it has been argued that the measured values are effective properties that include contributions from the electric double layers (EDLs). For instance, in Ref. [11] the effective capacitance is modeled as the series combination of the membrane capacitance and that of the EDLs. In this work, we used the Poisson–Nernst–Planck model to evaluate the assumptions and limitations of the LDM. Our analysis formally derives that the interfacial capacitance in the leaky dielectric model is equivalent to a geometric average of the membrane and adjacent Debye layers. More broadly, our findings advance the fundamental understanding of bioelectric phenomena [35–37].
ACKNOWLEDGMENT
This research was supported by NIGMS through Award No. 1R01GM140461.
APPENDIX A: FORMAL ASYMPTOTICS OF SHORT-TIME CHARGE-RELAXATION DYNAMICS
After rescaling the inner time coordinate , the PNP equations become
(A1a)
(A1b)
(A1c)
The Poisson equation (A1c) indicates that the charge density is at most second order. Hence, in the outer region we seek a solution as a regular asymptotic expansion:
(A2a)
(A2b)
(A2c)
From Eqs. (19a)–(19c), the leading-order initial conditions are
(A3a)
(A3b)
(A3c)
Now substituting expansions (A2a)–(A2c) into Eqs. (A1a)–(A1c) we have at leading order
(A4a)
(A4b)
(A4c)
(A4d)
Thus, from Eqs. (A1c) and (A4d), the leading-order bulk potentials are linear:
(A5)
Now we turn to the inner regions. Since represents the dimensionless Debye length, we chose an inner space coordinate . Accordingly, the original PNP equations (A1a)–(A1c) transform into
(A6a)
(A6b)
(A6c)
Variables , , and are used to denote concentration, density, and potential inside the Debye layers. Applying a regular inner expansion,
(A7a)
(A7b)
(A7c)
Solution , , satisfies the leading-order inner equation and is proved using weak-field linearization, so the leading-order inner solutions are
For the second-order inner equations, we want to keep the nonlinearity. With substitution of the leading-order solution, the second-order inner equations are
(A10a)
(A10b)
(A10c)
We then take a Laplace transform with respect to the inner time variable . For simplicity, denote the Laplace transform using tilde over the variable: ,
(A11a)
(A11b)
Solving Eqs. (A11a) and (A11b) and substituting matching conditions leads to
(A12a)
(A12b)
Then substituting into the Poisson equation (A10c) and applying matching conditions results in
(A13a)
(A13b)
Afterwards, substituting the zero-flux (16b) and Robin (16a) boundary conditions (16b) at , we have
APPENDIX B: COMPOSITE SOLUTIONS FOR THE CURRENT AND NET DIFFUSE CHARGE
As defined in Eq. (16b), the dimensionless current is
(B1)
The leading-order composite solution of current is the sum of short-time current , bulk current , and inner current , excluding the overlap part:
(B2)
The short-time current and the bulk current come from substituting the solutions of potential, charge density, and concentration, Eqs. (23a)–(24b), (30a), and (30b), into Eq. (B1):
(B3a)
(B3b)
For the inner current , however, the leading-order inner PNP equation (35a)–(35c) indicates the zeroth-order inner current is zero , so the leading-order term is the second-order inner current . Taking the second-order terms from the inner PNP equation (32a) leads to
(B4)
with boundary conditions from the zero-flux condition (16b) and matching to the outer:
The solution of Eqs. (B10) shows the long-time net diffuse charge is
(B11)
Finally, the composite solution of net diffuse charge is
(B12)
DATA AVAILABILITY
No data were created or analyzed in this study.
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