Open Access Article
Rustam K.
Gandhi
a,
Sydney
Manning
a and
J. X. Kent
Zheng
*abc
aDepartment of Chemical Engineering, University of Texas at Austin, Austin, Texas 78712, USA. E-mail: kentz@utexas.edu
bTexas Materials Institute, University of Texas at Austin, Austin, Texas 78712, USA
cBard Center for Electrochemistry, University of Texas at Austin, Austin, Texas 78712, USA
First published on 29th August 2025
Functional additives are widely used in electrochemical systems to guide metal deposition and suppress unfavorable porous growth modes. A key strategy involves adding secondary metal cations with higher redox potentials, which spontaneously undergo ion exchange and deposit as an interfacial alloying layer to promote uniform growth during battery recharge. However, we discover that in the absence of kinetic control, this electroless deposition of the alloying layer unexpectedly induces dendritic growth due to local ion depletion, especially when additive concentrations are low. Contrary to conventional wisdom, free additive cations can therefore destabilize—rather than stabilize—metal anode interfaces. To overcome this, we introduce a chelation-based approach that regulates the release of additive cations and smooths interfacial deposition. Using Cu2+ additives and EDTA chelators in aqueous Zn batteries as a model system, we demonstrate that chelation enables controlled Cu2+ release, forming uniform interfacial layers and remarkably improving cycling stability. The chelation-regulated system achieves >99% Zn reversibility and 2–3× longer cycle life under practical current densities and capacities (i.e., 1 mAh cm−2 at 10 mA cm−2, and 10 mAh cm−2 at 10 mA cm−2), while unregulated systems fail rapidly. Extension of the controlled release framework to systems beyond the Cu2+–EDTA pair is also demonstrated. This work highlights the importance of molecular-level control over additive reactivity and offers a generalizable strategy for stabilizing metal anodes in energy-dense batteries.
Small quantities of additives are commonly introduced to electrolytes used in electrochemical systems.13 In batteries, an important class of additives consists of secondary metal cations MBm+ with a redox potential higher than the primary metal MA used in the cell, i.e.,
Upon contact, the metallic MA anode and the MBm+ cations in the solution undergo a spontaneous ion exchange reaction: nMBm+ + mMA → nMB + mMAn+. This spontaneous reaction results in the electroless deposition of MB on the surface of the anode made of MA (Fig. S1a). Through alloying with MA, this thin MB layer is anticipated to reduce the nucleation energy barrier ΔG* and therefore promote uniform electrochemical growth of MA in the subsequent cycling (Fig. S1b). For example, Cu2+ has been identified as a candidate secondary metal cation for Zn metal anodes,14–16 and Ag+ for Li metal anodes.17,18 In addition to incorporating additives into the electrolyte, such approaches were also extensively used for ex situ pretreatment of the metal anodes forming the MB layer prior to battery assembly.19–21 See Table S1 for more literature reports. In these cases where MBm+ is used as an additive to create a conformal MB layer, its concentration
is typically on the order of 10 mM or below 1 wt%.
A careful assessment of the electroless deposition of MB from a mass transport perspective, however, suggests otherwise. Compared to a concentrated electrolyte (typically ∼1 M), a dilute electrolyte makes MBm+ highly susceptible to depletion near the deposition interface where it is continuously consumed and converted into MB. This cation depletion is known to be the origin of classical diffusion-limited dendritic growth patterns. Such diffusion-limited dendritic growth has been observed in a variety of systems—both electroless or electrochemical—including nanocrystal growth,22–24 particle self-assembling,25 and metal deposition.6,26 In particular, this phenomenon has been examined in-depth both theoretically and experimentally in the context of electrochemical deposition, as dendrites can lead to fatal failure modes in electrochemical cells. It is well established that the balance between the reaction rate—often quantified by the exchange current density J0, which is proportional to standard reaction rate constant k0—and the mass transport rate dictates the system's susceptibility to diffusion-limited dendritic growth.27,28 When the chemical reaction rate at the interface far exceeds the mass transport rate in the liquid electrolyte, steep concentration gradients
develop, driving dendritic growth. A similar analysis should be applicable to electroless growth of MB.29–31 This hypothesis is significant as it suggests that the electroless growth of functional metal MB itself exhibits a highly porous, dendritic nature, introducing substantial chemical and morphological heterogeneity to the MA metal surface. These additional undesirable heterogeneities now introduced upon the electrode surface, in theory, serve as “hot spots” for non-uniform or even dendritic growth of MA during subsequent electrodeposition;32,33 see Fig. 1a for an example with Zn and Cu as MA and MB, respectively.
The central hypothesis that motivates this work is that—analogous to drug delivery, where a sudden large dosage can lead to unfavorable consequences—a regulated release mechanism is necessary for functional MBm+ species to promote uniform and stable MA deposition upon battery cycling. Specifically in electrochemical cells, the regulated release mechanism should significantly reduce the chemical reaction rate of the electroless MB deposition, thereby suppressing steep
gradients and mitigating dendritic growth. Common controlled-release strategies for drug deliveries—such as polymer encapsulation and liposome/micelles encapsulation—often involve complex chemical procedures to fabricate microcapsules containing the functional additives.34,35 Moreover, the impact of these encapsulating agents with complex chemistries on electrochemical processes remains largely unknown.
Given these constraints with encapsulation-based strategies, we further hypothesize that chelation—a simple chemical binding interaction between MBm+ cations and a coordinating molecule—can be used to achieve controlled release of MBm+. The chelation of MBm+ is expected to significantly decrease the reaction rate for the electroless reduction of MBm+ to MB, by introducing an additional de-chelation step prior to the electroless deposition. Therefore, the chemical reaction rate can be moderated such that is commensurate to the rate of mass transport to avoid the formation of steep
gradients and dendritic growth (Fig. 1b). We define two key screening criteria for an ideal chelating agent to enable controlled release of MBm+. First, the chelating agent should exhibit highly selective binding with MBm+ rather than with MAn+, since the primary conducting salt in the electrolyte MAn+ exists in large quantities. Second, the chelating agent must also be compatible with all other components and processes occurring within the electrochemical cell.
As a model system to validate our hypotheses and proposed approach, we focus on Zn metal anodes with mildly acidic aqueous electrolytes. The selection is motivated by its immediate technological relevance to large-scale sustainable energy storage, and several additional fundamental considerations. Unlike alkali-metal anodes, which form highly passivating interphases that strongly influence all interfacial processes, Zn exhibits less passivating behavior. This allows us to directly investigate how the in situ formation and morphology of MB influences the growth of MA. Moreover, the alloying chemistry between Zn and secondary elements is well studied. For example, our previous work using a variety of thick commercial MB foils demonstrated that a Sabatier-like principle governs alloy-involved deposition processes, with Cu emerging as the optimal alloying element (i.e., MB) for Zn.36
In choosing an effective chelating agent for the controlled release of Cu2+ in the Zn electrolyte, we first evaluate the formation constant Kf of several common complexing/chelating agents with Cu2+; we then compare these values to the Kf for Zn2+. See Table S2. To ensure that chelation predominantly occurs with Cu2+ instead of Zn2+, an ideal chelating agent should exhibit a Kf for Cu2+ at least two orders of magnitude greater than for Zn2+. Ethylenediaminetetraacetic acid disodium salt (EDTA-Na2) stands out as an optimal choice due to its strong selective binding with Cu2+
and its compatibility with the mildly acid environment. EDTA has been demonstrated as an effective agent for achieving smooth electrochemical Cu deposition in aqueous environments,37,38 and EDTA-based salts have been explored as a functional additive for pure Zn2+ electrolyte in the absence of Cu2+.39 By contrast, candidates such as ammonia, NH3 and ethylenediamine, H2NCH2CH2NH2, exhibit significant basicity, which is less favorable in the mildly acidic Zn electrolyte. Furthermore, the complexing strength weakens as the –NH2 becomes protonated under mildly acidic conditions. Taking these analyses together, we hypothesize that EDTA is an effective chelating agent for the controlled release of Cu2+ in Zn metal anodes.
:
1), EDTA deficient (1
:
10, 1
:
4, 1
:
2), stoichiometric equivalence (1
:
1), and excess EDTA (10
:
1). Without EDTA, the solution exhibits an absorbance peak at 809 nm, which can be attributed to the t2g to eg transition of the Cu(H2O)62+ complex ion.40 Upon the addition of EDTA, we observe a significant blue shift of the peak towards 742 nm, accompanied by a five-fold increase in absorbance. The blue shift is expected due to the greater crystal field splitting Δ induced by EDTA chelation.41 The strong enhancement of the absorbance, on the other hand, can be attributed to the broken inversion symmetry in the EDTA–Cu2+ chelate, permitting otherwise forbidden d–d transitions, according to the Laporte rule. We observe that the maximum blue shift and absorbance is attained when the concentration of EDTA equals or exceeds the Cu2+ concentration. In order to ensure that the maximum fraction of Cu2+ is chelated at all times, we select a molar ratio of 10
:
1 throughout the remainder of this work.
Quantitatively, reaction kinetics are best described by the standard rate constant k0; however, its experimental determination is challenging. We wish to probe the electroless deposition rate of Cu, which cannot be measured directly with standard electrochemical techniques. Furthermore, in a diffusion-limited regime, any experimentally measured reaction rate is largely governed by mass transport, rather than by intrinsic chemical kinetics. To overcome these challenges, we configure an electrochemical setup for Cu electrodeposition (as a proxy for the electroless reaction) onto an inert glassy carbon substrate and measure the exchange current density J0 well below the diffusion limited regime. A discussion on the relationship between electro- and electroless deposition kinetics is provided at the end of this section.
It is well established that J0 and k0 are linearly related by J0 = nFk0CCu2+1−β, where n is the number of electrons transferred, F is Faraday constant and β is the symmetry factor. This relationship implies that a substantial reduction in k0 of the electroless reaction kinetics should be directly reflected as a decrease in J0, which we measure electrochemically in the kinetics-dominated regime, away from diffusion limitations. Linear sweep voltammetry (LSV) was performed in 1 M ZnSO4 + 20 mM CuSO4 solutions with various concentrations of EDTA (Fig. S2). The resulting Tafel plot is shown in Fig. 2b. The y-intercept of the linear region represents the logarithm of the exchange current density, which decreases significantly as EDTA concentration increases (or, equivalently, as Cu2+ free ion concentration decreases). In fact, J0 is decreased by roughly 35% when 200 mM EDTA is present (0.674 vs. 0.436 mA cm−2, respectively). The same experiment is performed in a 500 mM Na2SO4 + 20 mM CuSO4 electrolyte, where Na2SO4 replaces ZnSO4 as the supporting electrolyte (Fig. S3). The formation constant for the Na–EDTA complex is 16 orders of magnitude lower than that of Cu–EDTA and 14 orders of magnitude lower than that of Zn–EDTA; thus, the extent of Cu2+ chelation in this system is increased.42 The Tafel plot (Fig. 2c) reveals that a 10
:
1 EDTA
:
Cu2+ solution decreases J0 tenfold when Cu2+ chelation is not competitive, demonstrating the extraordinary extent to which the controlled release phenomenon can suppress the standard rate constant for electroless deposition.
Further insight into the reaction mechanism for Cu deposition from the EDTA-containing electrolyte can be gleaned from temperature-dependent kinetic measurements. LSV is performed in 200 mM Na2SO4 + 20 mM CuSO4 electrolytes with and without 200 mM EDTA at various temperatures (Fig. S4). The data is highly linear when plotted as ln(k0) vs. 1/T, according to the Arrhenius equation
with r2 values of 0.991 and 0.974 with and without EDTA, respectively (Fig. 2d). Note that such an Arrhenius plot captures only the behavior of the system in the absence of an overpotential (i.e., η = 0), since J0 and k0 measure the equilibrium reaction rates, by definition.43 Therefore, the slope of the Arrhenius plot is related to
or the activation energy of the electrodeposition reaction in the absence of an overpotential (this quantity is indicated schematically in Fig. S5). From these fits, the calculated activation energies
are on the same order of magnitude: 17.4 kJ mol−1 and 23.1 kJ mol−1 for the cases with and without EDTA, respectively. However, it is the preexponential factor A that differs significantly upon the addition of EDTA. Without EDTA, the preexponential factor is 1.007 cm s−1. Once EDTA is added, however, the preexponential factor decreases by approximately 1.4 orders of magnitude to 0.042 cm s−1. Physically, the preexponential factor represents the collision frequency (in this case, the frequency of Cu2+–electrode interactions), whereas the exponential term
represents the fraction of these collisions with sufficient energy to trigger the reaction. The decrease in the preexponential factor indicates fewer Cu2+ ions are free to interact with the electrode surface, as most are complexed with the EDTA. Those that are complexed cannot be reduced until de-chelation occurs. The similar activation energies suggest that once de-chelation occurs, the Cu2+ ions behave similarly to those in the EDTA-free electrolyte. This interpretation strongly suggests a two-step mechanism for Cu2+ reduction from the EDTA-containing electrolyte:
| CuEDTA2− ⇌ Cu2+ + EDTA4− | (E1) |
| Cu2+ + 2e− → Cu0 | (E2) |
In the absence of an overpotential, the first reaction (E1) is in equilibrium, dictated by the formation constant Kf of the CuEDTA2− complex. Since the value of Kf is large (5 × 1018), the equilibrium lies far towards the reactants of reaction (E1). Thus, the concentration of free Cu2+ ions available for reduction in reaction (E2) is remarkably small (compared to the EDTA-free electrolyte), which explains the reduced preexponential factor. Chelation, then, is directly responsible for the decrease in the electrodeposition rate via a greater-than-tenfold reduction of the preexponential factor, providing irrefutable evidence for the controlled release mechanism.
We also observe that EDTA reduces the magnitude of the cathodic charge transfer coefficient αc, which is directly proportional to the slopes of the Tafel curves in Fig. 2c. Notably, upon the addition of EDTA, αc is decreased from 0.881 to 0.134, and the anodic charge transfer coefficient αa is correspondingly increased (1 − αc = αa). That is to say, the kinetics for the cathodic Cu deposition reaction becomes more sluggish, due to the necessity of the de-chelation step, but the propensity for the reverse anodic Cu dissolution is increased. See Fig. S5 for a detailed discussion.
From the above analyses, it is evident that the introduction of EDTA to the electrolyte significantly reduces the Cu electrodeposition kinetics. However, it is prudent to establish the relationship between the electro- and electroless deposition kinetics, as it is the latter which is of highest importance to this work. The reaction between MA and MB is a galvanic displacement reaction,44 since the more noble MB deposits on the surface while the less noble MA dissolves over the course of the reaction. This system can be analyzed from the framework of mixed potential theory, often used to study corrosion processes.45 Fig. S6 shows the Evans diagram for the galvanic displacement reaction between Zn and Cu. Both the reduction in J0 and αc caused by EDTA are shown schematically, and the result is a suppressed corrosion current, or electroless deposition rate (see Fig. S6 for a complete discussion). Thus, measurements of MB deposition kinetics under electrochemical conditions are explicitly related to MB electroless deposition rates.
Optical profilometry quantifies this difference: the unregulated functional layer has a surface roughness threefold higher than what is obtained from the EDTA electrolyte (Fig. 3c and d). Focused ion-beam milling (FIB) was used to prepare cross sections of the electroless Cu layers (Fig. 3e and f). The cross sections and related electron dispersive spectroscopy (EDS) mappings (Fig. 3g and h) directly reveal the mossy nature of the functional layer when EDTA is absent. Additionally, the interface between the bulk Zn metal and the deposited layer contains many small voids, whereas the same interface has nearly perfect contact when EDTA is used. This explains the difference in mechanical integrity between the two functional layers—the matte black layer can be easily scraped and scratched by a pair of tweezers, while the shiny golden layer is much more mechanically robust (Fig. S10); additional cross sections and more detailed discussion can be found in Fig. S11. This set of surface morphology characterizations confirms the critical role played by chelation-regulated release in promoting a favorable, conformal electroless deposition morphology of MB.
For completeness, we examine the possibility that native surface inhomogeneities on the Zn electrode play a significant role in determining the electroless deposition morphology, since the Zn foils were used as received. An electropolishing procedure described in our previous work is performed to minimize any inherent spatial variation on the Zn surface.51 The electropolished foil was then subjected to the same electroless deposition procedure used thus far (Fig. S7). The resulting morphology (Fig. S12) is qualitatively no different from those in Fig. 3a and b. We thus conclude that any morphological differences observed follow directly from the electrolyte chemistry, and not from any inherent spatial inhomogeneities on the Zn electrode.
As a final step in validating our central hypothesis, we now investigate the impact of chelation on the electrodeposition morphology of MA. We performed electrodeposition of Zn in a 1 M ZnSO4 + 20 mM CuSO4 solution, in the absence and presence of 200 mM EDTA, upon their respective functional layers (Fig. S13). The SEM images (Fig. 4a, b and S14) and profilometry measurements (Fig. 4c and d) show marked differences. The deposited layer in the EDTA-free electrolyte is highly dendritic, with large tree-like structures and smaller “hopper crystals” present across the sample.52 In stark contrast, the surface of the deposited layer in the EDTA-containing electrolyte is extraordinarily uniform, with a clear absence of large-scale heterogeneities. In fact, the surface roughness is reduced by an order of magnitude when EDTA is included in the electrolyte. The uniformity is increased compared to Zn deposition without any functional layer as well (Fig. S15). FIB cross sections and EDS mappings corroborate these observations. Without EDTA, Zn is forced to deposit on and around the non-uniform Cu protrusions, which are visible in the cross section. The total height of the functional and deposited layers together is approximately 6 μm. However, when EDTA is added, the layers are far more compact, and the total height is only 3 μm. It is worth noting that the Cu protrusions into the deposited layer are of different origins in each case. In Fig. 4g, the origin is likely from the porous nature of the functional layer itself, as suggested by Fig. 3g. However, we hypothesize that the bulbous Cu shapes observed in Fig. 4h are likely a result of Cu diffusion from the functional layer into the Zn deposited layer (see Fig. S16 for a detailed discussion), since no such features are visible before Zn deposition in Fig. 3h. Clearly, the electrodeposition morphology achieved through chelation-regulated release exhibits significantly improved surface uniformity and reduced surface roughness. These results highlight the exceptional interfacial stability in both electroless and electrochemical metal growth, enabled by the regulated-release mechanism.
:
5 ratio.54–57 Therefore, all the Cu present in the deposited layer is incorporated into this alloy phase. The intensity of the alloy peaks is reduced when controlled release is in place. Because the electrolyte contains Cu2+, freshly deposited Zn on the functional layer will spontaneously react with Cu2+ in solution, as observed previously. The extent of this reaction is mitigated by EDTA, resulting in a lower Cu content in the deposited layer. This observation is further corroborated by the EDS spectra (Fig. S18) of the mappings: the relative counts of Cu decreased by a factor of 4 when the Cu2+-chelating agent is present.
We performed additional EDS mappings to discover the spatial distribution of the phases identified from XRD. Fig. 5c shows the EDS mappings of sections of the images in Fig. 4a. The section of the EDTA-free case is highly heterogeneous and complex; it contains the edge of a large dendritic structure on the left, and the surrounding deposits on the right. From the mapping, three regions can be broadly identified: (1) those with strong Zn signal but weaker Cu signal, (2) those with strong Zn and Cu signal, and (3) those with weaker Zn signal but stronger Cu signal. We hypothesize that regions matching the profile of (1) suggest pure Zn deposits, giving rise to the pure Zn peaks in the XRD pattern, while region (2) likely represents the intermetallic phase. The assignment of region (3) is less straightforward, but we attribute it to a solid solution, where additional Cu has been dissolved into the intermetallic phase. This may explain the fact that the intermetallic peaks in the XRD pattern appear slightly broader than the Zn peaks. Interestingly, we note that the regions with higher Cu content, i.e., region (3), seem to be prominent at the “extremities” or tips of the dendritic structures (the few intense “hot-spots” in the Cu map are excluded from this observation, as they are likely measuring the functional layer at points where the deposited layer is incomplete). Though the mechanisms behind this observation are beyond the scope of this work, we attribute this difference to the mass-transport-induced gradient in Cu2+ concentration, such that the large protruding dendritic growth extends a significant distance into the diffusion layer, where the rate of the ion exchange reaction is larger.
In stark contrast, the EDS maps for the regulated-release case show far less spatial differentiation, especially in the Cu map, which shows a uniformly weak signal across the entire area (Fig. 5d). We suggest that regions (1) and (2) are present, but not (3), in accordance with the reasoning presented above. The complementary characterization results of the interfacial alloying processes suggest that the controlled release of the functional MBm+ promotes its uniform incorporation into the MA layer upon electrochemical deposition and a compact morphology.
The full voltage profiles corroborate this observation. Features distinctly suggestive of metal orphaning are observed in the 1 M ZnSO4 electrolyte. Indeed, the irregularities in the voltage trace during stripping (Fig. 6d) suggest the random and unpredictable disconnection and reconnection of dead metal fragments. This same phenomenon explains how the coulombic Efficiency is greater than 100% for some cycles in Fig. 6a. The separator facing the stainless steel plating/stripping surface was imaged with optical microscopy after ∼100 cycles at low capacity, revealing substantial orphaned metal fragments in the 1 M ZnSO4 and 1 M ZnSO4 + 20 mM CuSO4 cases (Fig. 6g and h, respectively). However, in the Cu + EDTA + Zn electrolyte, the amount of dead metal on the separator is significantly reduced (Fig. 6i).
Under harsh conditions (high capacity), the Cu–Zn electrolyte performed significantly worse than even the pure Zn electrolyte. Clearly, the heterogeneities of the functional and deposited layers arising from an unregulated functional metal cation only exacerbate the low intrinsic CE of Zn. In fact, the amount of dead metal on the Cu–Zn separator is greater than that on the 1 M ZnSO4 separator under these conditions (Fig. S19).
To rule out the possibility that the presence of EDTA itself, rather than its interaction with Cu2+, leads to the observed improvement, we also measure the CE with 1 M ZnSO4 + 200 mM EDTA, in the absence of Cu2+. The performance is found to be comparably poor (Fig. S20), similar to the baseline 1 M ZnSO4 electrolyte.
Finally, we construct coin cells with Zn anodes, paired with sodium vanadate (NVO) cathodes58 to examine the cycling stability enabled by the controlled release mechanism in a full cell configuration. The same Zn, Cu + Zn, and Cu + EDTA + Zn electrolytes were used, as described above. The results in Fig. 6j are in good agreement with the symmetric cell results (Fig. 6a and b), where the best performance is achieved from the Cu + EDTA + Zn electrolyte, and the additional heterogeneity stemming from the unregulated Cu + Zn electrolyte leads to worse performance than even the pure ZnSO4 control. A representative charge–discharge voltage profile is shown in Fig. 6k, where it is clear that the charging overpotential for the controlled release case is significantly lower than that from the unregulated and control electrolytes. This is likely due to the absence of a significant nucleation barrier, as shown in Fig. 6c. The comparison of these coin-type battery results decisively confirms the critical role played by the interaction between the functional metal cation and the chelating agent—i.e., is, the chelation-regulated release—in enabling extraordinary cycling stability in battery anodes.
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