Editor’s Choice Electrophoresis of neutral oil in water Volker Knecht a,*, Zachary A. Levine b , P. Thomas Vernier b a Max Planck Institute of Colloids and Interfaces, Science Park Golm, 14424 Potsdam, Germany b University of Southern California, Marina del Rey, USA a r t i c l e i n f o Article history: Received 27 May 2010 Accepted 1 July 2010 Available online 12 August 2010 Keywords: Electrophoresis Molecular dynamics MD Computer simulation Water Oil Interface Hydronium Hydroxide Isoelectric point a b s t r a c t Negative electrophoretic mobilities of oil in water are widely interpreted in terms of adsorption of hydroxide leading to negative surface charge. Challenging this traditional view, an increasing body of evidence suggests surface depletion of hydroxide and surface accumulation of hydronium leading to a positive surface charge. We present results from molecular dynamics (MD) simulations showing electrophoretic mobilities of oil in water with the same sign and magnitude as in experiment but in the absence of ions. The underlying mechanism involves interfacial roughness leading to gradients in dielectric permittivity in field direction and, thus, local elevation of the applied electric field. Although all molecules have zero net charge, their partial charges are distributed non-uniformly such that oil exhibits negative and water positive excess charge in regions of high field intensities; this induces a net force on the oil or the water against or in field direction, respectively. Our results indicate that deducing net charges from electrophoretic mobilities as widely done can be misleading. Our findings suggest that pH dependent electrophoretic mobilities in experiment being negative above and positive below pH 2.5 arise from a competition between the negative mobility of the ion-free interface and the positive mobility from adsorbed hydronium ions. Ó 2010 Elsevier Inc. All rights reserved. 1. Introduction It has been known for two centuries [1] that a suspended particle exposed to a homogeneous static electric field may start to migrate, an effect denoted as electrophoresis. The drift velocity is proportional to the applied field. In general, the electrophoretic mobility, i.e., the migration rate normalized by the field intensity, is assumed to be proportional to the net charge on the particle. Based on this assumption, electrophoresis experiments are widely used to determine the charge of colloidal particles [2]. Oil droplets show electrophoretic mobilities that are negative above and positive below pH 2.5, denoted as isoelectric point (iep) [3,4]. This behavior is commonly explained in terms of adsorption of hydroxide (OHÀ ) or hydronium (H3O+ ) giving rise to a negative or positive surface charge depending on the pH [5,6]. Hydroxide adsorption at water/hydrophobe interfaces has been also inferred from measurements of disjoining pressures for thin water films as a measure for the interaction between the two interfaces of the film [5,7]. Furthermore, strong surface activity for hydroxide has been invoked to explain titration experiments on oil-in-water emulsions. Here it is observed that upon increasing the interfacial area by homogenization of the emulsion, a base needs to be added to maintain the apparent pH in the water. The titration experiments rely on the measurement of the pH of an inhomogeneous oil-in-water emulsion. From the relatively large oil fraction used in these experiments, 2 vol.%, possible interference of the oil with the pH sensor counterfeiting the measurements cannot be excluded. In contrast, substantially lower oil fractions (e.g., 0.05 vol.% in studies by Marinova et al. [6]) are used in electrophoresis experiments, which thus may not suffer from this problem. The disjoining pressure measurements interpreted in terms of hydroxide adsorption require the presence of surfactants. Therefore, those measurements do not probe the bare but only the surfactant-covered aqueous interface. Indeed, whereas titration, disjoining pressure, and electrophoresis studies are widely interpreted in terms of higher interfacial affinity for hydroxide than for hydronium, other investigations suggest that hydroxide might in fact be less surface active than hydronium if not even repelled from interfaces. Surface repulsion of hydroxide is suggested from surface tension measurements [8,9], second harmonic generation spectroscopy [10], and synchrotron photoelectron spectroscopy of NaOH in aqueous microjets [9]. Vibrational sum frequency generation spectra indicate strong surface enhancement of hydronium for strong acid solutions but no sign of surface enhancement of hydroxide for equally strong base solutions [11]. Classical MD simulations using polarizable force fields indicate that water/hydrophobe interfaces repel hydroxide and attract hydronium [11–13]. If hydronium exhibits higher or lower surface affinity than hydroxide and if the hydroxide 0021-9797/$ - see front matter Ó 2010 Elsevier Inc. All rights reserved. doi:10.1016/j.jcis.2010.07.002 * Corresponding author. Fax: +49 331 567 9612. E-mail address: vknecht@mpikg.mpg.de (V. Knecht). Journal of Colloid and Interface Science 352 (2010) 223–231 Contents lists available at ScienceDirect Journal of Colloid and Interface Science www.elsevier.com/locate/jcis concentration at interfaces is enhanced or reduced compared to the bulk water is a matter of ongoing debate [9,10,14–20]. Recent MD simulations showed negative electrophoretic mobilities of oil in water although ions were absent but the underlying mechanism remained unclear [21]. Later this effect was observed to depend on the treatment of the dispersion interactions using Lennard-Jones (LJ) potentials. Electrophoretic drift was observed when the LJ interactions were truncated abruptly such that the force was discontinuous at the cut-off distance and when a cutoff distance of 1 nm was chosen. When the LJ interactions were modified such that the force smoothly reached zero at the cut-off boundary or the cut-off distance was increased to 2 nm, the electrophoretic drift vanished [22]. The simulations in [21,22] used a simplified description where hydrogens of CHn groups were treated implicitly using compound atoms and molecules were non-polarizable. Here we show that for a more detailed model in which not only the water but also CHn groups are described in full atomic detail and molecules are polarizable, uncharged oil in water may show electrophoretic drift even for continuous LJ forces. The electrophoretic mobility of the oil is of the same sign and size as the mobilities of oil droplets in distilled water measured experimentally. The mechanism underlying the electrophoretic drift in our simulations is revealed. In particular, we also show why this effect is not observed for the simplified description. Our findings suggest that electrophoretic mobility does not always reflect the charge of an oil droplet. Our results render the negative electrophoretic mobilities of oil droplets in water consistent with a small positive surface charge indicated from the results from the spectroscopic experiments and the MD simulations. 2. Methods and theory 2.1. Simulation setup The system mainly considered in this work is shown in Fig. 1 and specified as system DEC in Table 1. It consisted of a decane slab in water parallel to the xy plane under periodic boundary conditions. An initial configuration for this system as well as the force field parameters and the simulation protocol as used in [13] were provided by Vacha. Hence, the initial configuration of a larger slab denoted as system DECL was modeled as a 2  2 array of the configuration of DEC. In addition, a cubic box of bulk water or bulk water containing a single methane denoted as system WAT or MET, respectively, in Table 1, were simulated. System DEC was simulated at equilibrium and exposed to external fields in the range E0 = 0.05–0.5 V/nm in x direction. Here, for system DEC at equilibrium and for each out of four different field intensities, a single 10 ns simulation was conducted. For this system, in addition, thirty 1.6 ns simulations at equilibrium and different field intensities were started from the same initial configuration but different sets of initial velocities. Likewise, for system DECL, thirty 200 ps simulations at E0 = 0.5 V/nm were started from the same initial configuration but different sets of initial velocities. System WAT and MET were each simulated for 4 ns at equilibrium. The decane was described using a polarizable potential derived from the general Amber force field (GAFF) [23]. The force field for the methane (CH4) molecule was derived from that for a CH3 group by adapting the partial charges for the hydrogens keeping them as close as possible to the values for CH3 but yielding a zero net charge for CH4. The water was described using the polarizable POL3 water model [24,25] in conjunction with the SETTLE algorithm to keep the O–H and H–H distances at ideal values. Polarizability was simulated by using the shell model of Dick and Overhauser [26]. Here, a shell particle representing the electronic degrees of freedom is attached to a nucleus by a spring and the potential energy is minimized with respect to the shell position every step. Lennard Jones (LJ) interactions were treated unchanged for interatomic distances r with 0 < r < r1 = 0.7 nm; for r1 < r < rc = 1 nm, a third degree polynomial S(r) denoted as switch function was added to the force such that the modified force and its derivative were continuous at r = r1 and r = rc [27]. The neighbor list for non-bonded interactions considering all pairs of atoms separated by less than 1.1 nm was updated every 10 steps. Full electrostatic interactions were considered using the particle mesh Ewald (PME) technique [28] using tinfoil boundary conditions [29] with (i) a cut-off distance of 1.1 nm in direct space and (ii) a 0.12 nm grid spacing and a 4th order polynomial for interpolation for the reciprocal sum. Decane and water were separately coupled to an external temperature bath of 300 K using a Berendsen thermostat [30] with a relaxation time of 0.1 ps. For systems DEC or DECL the pressure in xy direction and for systems WAT or MET the pressure in all directions were coupled to 1 bar using a Berendsen barostat [30] with a coupling constant of 1 ps. All simulations were performed using GROMACS [31], version 3.3.1. The simulations required 40500 CPU hours on AMD Opteron 3.0 GHz dual processor/dual core nodes. Configurations were saved every 5 ps for further analysis. For system DECL at an external field of 0.5 V/nm, thirty 200 ps simulations were started from the same initial configuration but different sets of initial velocities using modified LJ interactions with r1 = 1.7 nm and rc = 2 nm and modified electrostatic interactions with a cut-off distance of 2.1 nm in direct space. For comparison to previous studies of oil slabs in water, an additional 100 ns simulation at an external field of 0.5 V/nm was carried out using a non-polarizable force field. Here, the (non-polar) hydrogen atoms of the decane molecules were described using united atoms using the GROMOS-87 force field [32] and the water was treated using the three-site simple point charge (SPC) model [33]. All other conditions were kept identical to the other setup. Fig. 1. The system simulated was a decane slab in water in the absence of ions. The system was described with an all-atom polarizable force field and LJ forces were smoothed at the cut-off distance. An electric field applied parallel to the water/ decane interface induces a tangential movement between the phases; the decane phase migrates against and the water in field direction. The water is shown in white and the decane in gray. The figure was prepared using VMD [39]. Table 1 The systems simulated consisted of a decane slab in water of two different sizes denoted as DEC and DECL, pure bulk water (WAT), and bulk water containing a single methane molecule (MET). Given are the number of decane (Nsys,a) or water molecules (Nsys,w), and the initial size of the simulation box, a  b  c. System Nsys,a Nsys,w a  b  c (nm3 ) DEC 64 723 2.5  2.5  7.3 DECL 256 2892 5.0  5.0  7.3 WAT – 461 2.8  2.8  2.8 MET – 457 2.8  2.8  2.8 224 V. Knecht et al. / Journal of Colloid and Interface Science 352 (2010) 223–231 2.2. Analysis of water/decane system 2.2.1. Electrophoretic motion Analyses of the systems at equilibrium or at steady states were performed omitting the initial 100 ps for relaxation. If not stated otherwise, standard errors were obtained from block averages dividing the trajectories into four fragments. For system DEC or DECL, the central observable was the position r = (x,y) of the center of mass of the decane slab relative to the center of mass of the water parallel to the interface (xy plane). Here we distinguished between the position in field direction, x, and normal to the field direction, y. For each field intensity, migration rates v  Dx/Dt and corresponding standard errors were determined from the initial and final configurations of the sampling period of the thirty 1.6 ns simulations for system DEC and the thirty 200 ps simulations for system DECL. For migration rates from the 10 ns simulations of the polarizable all-atom and the non-polarizable united atom model at E0 = 0.5 V/nm, standard errors were obtained by dividing the trajectory into four segments. Electrophoretic mobilities were obtained from fitting the function v = lEEapp to the data from the thirty 1.6 ns simulations of system DEC, with the effective electric field Eapp taken equal to the electric field in the water bulk. The latter was determined from [34] Eapp ¼ np ðw À 1Þ0 : ð1Þ Here, p is the average dipole moment of a water molecule in field direction in the water phase at least 1 nm away from the Gibbs dividing surface (position at which the water density equals half the density in the water bulk). Furthermore, n = 33/nm3 is the bulk number density of the water molecules and 0 is the permittivity of vacuum. The value w = 122 for the relative permittivity of POL3 was obtained from the fluctuations of the dipole moment M of a box of water (system WAT) according to [34] w ¼ 1 þ 1 30 hM2 i VkBT ð2Þ Here, V is the volume of the box, kB Boltzmann’s constant, T = 300 K the temperature, and h. . .i denotes an average over the simulation. The spatial flow pattern was studied by comparing the average velocity vloc of atoms with the mass density q of the system both as a function of the position z normal to the interface at an effective field of 0.2 V/nm. The bin widths chosen for the distance scale where 0.6 nm for vloc and 0.018 nm for q. 2.2.2. Drive versus friction To dissect drive and friction governing electrophoretic motion in our system, the flow of matter normal to the interface is considered to undergo a discontinuous transition at the interface. If Eapp is the applied electric field and F the force driving electrophoretic movement, the quantity Q  F/Eapp has units of a charge and is denoted as pseudo charge. If Ai is the interfacial area, the quantity r  Q/Ai is denoted as surface pseudo charge. The friction force is given by FR = b AiDv where Dv = v/2 and b denotes the friction coefficient [35]. At steady state, F = FR, yielding lE ¼ 2r=b: ð3Þ The friction coefficient was determined from the mobility l  v/F of the decane slab according to b ¼ 2 lAi ; ð4Þ where Ai = 2Ab with Ab being the average area of the box parallel to the interface (xy plane). The mobility was obtained via the Einstein relation l ¼ D kBT ð5Þ where D denotes the diffusion constant. The latter was evaluated from the thermal movement between the decane and the water slab parallel to the interface in the 10 ns simulations by subtracting the drift along x as follows. From the quantity ~rðtÞ ¼ ðxðtÞ À vt; yðtÞÞ, the mean square displacement, defined as msdðtÞ ¼ h½~rðt0 þ tÞ À ~rðt0 ފ2 it0 ð6Þ was determined. Here hÁ Á Á it0 denotes an average over the times t 0 . Error bars for msd(t) give the standard error from estimates from the simulations at different field strengths. The diffusion constant is determined from D = msd(t0)/t02d with t0 = 400 ps and d = 2 denoting the dimension of space. The pseudo charge density is determined from r ¼ 1 Ai lE l ð7Þ Standard errors for lE, r and b are obtained from the standard errors for migration rates v and mean square displacements msd(t) via error propagation. 2.2.3. Equilibrium properties Equilibrium properties for a water/decane interface were determined from the 10 ns simulation of system DEC omitting the initial 100 ps for equilibration. As a measure for the linear extension of a decane molecule, the quantity d = 2rg with rg denoting the radius of gyration of a decane molecule defined by rg ¼ P ikrik2 mi P imi !1 2 ð8Þ was determined by averaging over all decane molecules. Here, mi denotes the mass of atom i and ri the position of atom i with respect to the center of the molecule. Furthermore, the average surface area of the decane phase was analyzed. Here, the total ‘‘solvent accessible” surface area (SASA) of a given water/decane configuration, denoted as As, was determined. The SASA is defined as the area traced out by the center of a probe sphere representing a water molecule as it is rolled over respective groups of the solute and was calculated based on an algorithm by Connolly [36] using the program g_sas from the GROMACS suite [31]. The SASA per projected interfacial area, a, was obtained from a = As/Ai. For each configuration, the number of contacts between decane carbons and water oxygens considering all carbon–oxygen pairs separated by less than 0.5 nm, and the respective time average, NCO, were calculated. The number of contacts per unit area, c0, was obtained from c0 ¼ NCO=Ai: ð9Þ The mass densities of water or oil, qw or qa, respectively, were determined as a function of the position z normal to the interface choosing a bin width of 0.018 nm and smoothed using a Gaussian filter with a width of 0.073 nm. Hence, the respective normalized densities vi ¼ qi=qi;b; i ¼ w; a; ð10Þ were evaluated. Here, qi,b denotes the mass densities in the bulk of the respective phase. The charge density qa(z) of the oil was obtained from qaðzÞ ¼ X i;jziÀzj 0. In this region, the local electric field in the oil phase is larger than for z < 0 for the following reason. The electric field parallel to the interface, E, will be the same in the water and in the oil phase as known from continuum electrostatics, hence E(z) = const  Eapp. Microscopically, E(z) arises from an average over the electric field Ew(z) in the water and Ea(z) in the oil fraction according to Eq. (18). The corresponding surface pseudo charge of the oil can be obtained from Eqs. (28) and (29), yielding À0.018 e/nm2 < ra < À0.004 e/nm2 . The force on the oil phase in the presence of an electric field Eapp will be Fa = raAbEapp, where Ab denotes the projected interfacial area (area of the simulation box in xy direction). This will be opposite in sign but smaller in magnitude than the respective force on the water, Fw = rwAbEapp. The latter may be written as Fw = Fw,rel + Fw,abs with Fw,rel  ÀFa. The force Fw,abs will act on the center of mass of the system. For our simulations the center of mass motion is removed while in experiment Fw,abs is counterbalanced by an opposing force from the electrodes; hence Fw,abs will not lead to motion in either case. In contrast, Fw,rel and Fa will lead to a total force F = Fa À Fw,rel = 2Fa acting on the oil relative to the water. With Eqs. (7) and (25) this yields r ¼ 2ra; ð30Þ resulting in À0.037 e/nm2 < r < À0.008 e/nm2 , as given in Table 3. This range includes the surface pseudo charge r determined from the electrophoretic motion in the MD simulations. When oil and water are treated using the SPC/GROMOS model, the structure of water close to CHn groups is similar to that observed here for CH4 [21]. However, there is no partial charge on the oil, so the respective surface pseudo charge must be zero and the electrophoretic mobility lE will vanish. This is consistent with the absence of electrophoretic motion for water/oil interfaces (a) (b) Fig. 3. Equilibrium properties of a single methane molecule in water. (a) The number densities of water oxygens or hydrogens and (b) the charge density from the water are shown as a function of the distance from the center of mass of the methane molecule. (a) (b) Fig. 4. Electrostatics for single methane molecule in water exposed to an electric field in the x direction. The ratio of the local electric field over the intensity of the field in the water bulk, a, is shown. (a) Two-dimensional representation. Here, the methane molecule is centered at the origin, the direction of the electric field is depicted, and a at each position (x,z) is color-coded. The system is cylindrically symmetric around the x axis. (b) a along the solid and the dotted lines in (a). V. Knecht et al. / Journal of Colloid and Interface Science 352 (2010) 223–231 229 parallel to an applied electric field in this model observed here and by others [22]. 3.3. Electrophoretic mobility reproduced from equilibrium properties Due to the computational expense, only nm length scales and time scales of tens of nanoseconds are accessible with maintainable computational effort for the detailed model used here. To be able to distinguish electrophoretic motion from diffusion for this time and length scale, high electric fields in the range 0.05– 0.15 V/nm were applied (the values refer to the value of the electric field in the water bulk). Although these exceed those typically used in electrophoresis experiments [6] by several orders of magnitude, the migration rates of the oil slabs observed in our simulations scale linear with the field intensity, indicating that nonlinear effects are not significant. This suggests that the simulations performed at high electric field intensities can be directly related to the available experimental data [21]. Moreover, we may predict the electrophoretic mobility for the oil slab considered here even solely from the equilibrium properties, that is, the properties at zero field strength. To this aim, we use (i) the friction coefficient as determined from an equilibrium simulation, and (ii) the surface pseudo charge from the mean-field calculations, rmf. We iterate that our mean-field model was parameterized based on results from an MD simulation at equilibrium and continuum calculations for an applied field using linear response theory. With b = 0.8 ± 0.1  106 Pa m s and the range for rmf from the mean-field theory as given in Table 3 we obtain À1.5  10À8 m2 /Vs < lE < À0.3  10À8 m2 /Vs. This range includes the value for the electrophoretic mobility determined from the drift at non-zero field. 3.4. Role of ions Experimental electrophoretic mobilities of oil droplets in water are pH dependent being negative for pH > pI and positive for pH < pI with pI denoting the isoelectric point (iep). The negative electrophoretic mobilities above the iep are commonly explained in therms of adsorption of hydroxide ions at the interface. However, findings from surface tension measurements and spectroscopic experiments as well as MD simulations indicate that hydrophobic surfaces in water repel hydroxide and attract hydronium [12–14]. For hydronium at a water/alkane interface an adsorption free energy of DG = À1.9 kcal/mol is found from MD simulations [13]. Our results suggest that the positive surface charge from hydronium, r+(pH), may compete with the negative pseudo charge ra of the oil yielding the total surface charge, r(pH), according to rðpHÞ=2 ¼ ra þ rþðpHÞ ð31Þ such that r(pH) < 0 for pH > pI and r( pI) = 0. Note that Eq. (31) is a generalization of Eq. (30). At pH 7, a hydronium or a hydroxide ion in solution would be present in a system of the size simulated for only 1.6  10À6 of the time. The number of hydronium ions DN(pH) adsorbed at an interface with a total area of DA is DNðpHÞ ¼ 10ÀpH mol L DzDA expðÀDG=kBTÞ: ð32Þ Here, kB is Boltzmann’s constant, T = 300 K the temperature, and Dz the thickness of the layer in which hydronium is adsorbed. Simulations suggest Dz = 0.3 nm [13]. With DA = 2Ab, Ab being the average area of the box parallel to the interface as defined in Section 2.2.2 and pH = 7 we obtain DN % 5  10À6 . With rþðpHÞ ¼ eDNðpHÞ=DADz ð33Þ and, hence, r+(7) = 4  10À7 e/nm2 , the total surface charge from Eq. (31) would be equal to the surface pseudo charge of the ion-free interface within the error. Consequently, within the statistical accuracy the electrophoretic mobility of decane, lE = 2r/b, would be the same as that of the ion-free interface. Hence, not to include any ions in our simulation system is a good approximation at neutral pH. Increasing the pH would not change the electrophoretic mobility significantly, in agreement with experiment [6]. At the iep, r(pI) = 0, and, hence, r+(pI) = Àra. This yields pI ¼ À 1 ln 10 DG kBT þ ln Àra e L mol    ¼ 2:50 Æ 0:04: ð34Þ This is in excellent agreement with the experimental value pI = 2.5 [4]. 4. Conclusions The current interpretation of electrophoresis experiments based on continuum theory relies on the assumption that, in general, electrophoretic mobility reflects net charge. Our MD simulations indicate that this assumption is invalid for oil droplets in water. A molecular mechanism for electrophoretic mobility of uncharged oil in water is revealed. Remarkably, we find that the negative electrophoretic mobilities of oil droplets in water are consistent with a small positive surface charge indicated from previous spectroscopic and simulation results. (a) (b) Fig. 5. 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