Abstract
Cations such as K+ play a key part in the CO2 electroreduction reaction, but their role in the reaction mechanism is still in debate. Here, we use a highly symmetric Ni-N4 structure to selectively probe the mechanistic influence of K+ and identify its interaction with chemisorbed CO2−. Our electrochemical kinetics study finds a shift in the rate-determining step in the presence of K+. Spectral evidence of chemisorbed CO2− from in-situ X-ray absorption spectroscopy and in-situ Raman spectroscopy pinpoints the origin of this rate-determining step shift. Grand canonical potential kinetics simulations - consistent with experimental results - further complement these findings. We thereby identify a long proposed non-covalent interaction between K+ and chemisorbed CO2−. This interaction stabilizes chemisorbed CO2− and thus switches the rate-determining step from concerted proton electron transfer to independent proton transfer. Consequently, this rate-determining step shift lowers the reaction barrier by eliminating the contribution of the electron transfer step. This K+-determined reaction pathway enables a lower energy barrier for CO2 electroreduction reaction than the competing hydrogen evolution reaction, leading to an exclusive selectivity for CO2 electroreduction reaction.
Similar content being viewed by others
Introduction
Recently, extensive discussions have emerged on how electrolyte cations modify the activity and selectivity of electrocatalytic reactions such as CO2RR1,2,3. For example, density functional theory (DFT) studies predicted that K+ could reduce the energy barrier of each step during CO2RR through the interaction with adsorbed reagent species4. However, results based on ab initio molecular dynamics (AIMD) simulations instead proposed that K+ ions could stabilize the key intermediate to activate the reaction5. Another hypothesis is that K+ could modulate the electric field distribution that impedes the side reaction6. To date, these discussions on how the cations behave and whether the interaction between K+ and chemisorbed CO2− intermediate exists are still ongoing7. These debates were mainly generated for two reasons. Theoretically, conventional computation methods such as DFT and AIMD are not able to fully address questions in electrocatalysis due to the difficulty in mimicking experimental conditions, which may lead to false impression7,8. Meanwhile, the lack of strong experimental evidence that clarifies the role of K+ in catalysis makes it difficult to propose an empirically guided model. Therefore, a higher-level approach such as grand canonical potential kinetics (GCP-K) combined with a corresponding experimentally derived model would be highly beneficial to address simulation needs7,9. It is, however, enormously challenging to obtain direct evidence to identify how K+ shapes the reaction pathway and what, if any, the nature of the interaction between K+ and chemisorbed CO2− is7. The very recent experimental observations by Waegele et al. proved that K+ ions could gather on the surface of Au during the CO2RR10, but no evidence was detected of an interaction between K+ and CO2−. Even though the facilitating effect of K+ is apparent over the Au surface5,6, related literature suggests the Au surface may not be an ideal choice to investigate the mechanistic influence of K+7. Because the rate-determining step (RDS) of the CO2RR over the Au surface is typically electron transfer11,12, the introduction of K+ is unlikely to shift this RDS and makes discerning mechanistic changes from Tafel slopes difficult. The weak adsorption of CO2 and the irrepressible side reactions on the Au surface also hinder the identification of the cardinal value of the Tafel slope7,13, limiting its use in kinetics experiments. Consequently, we propose that a new system is needed to investigate the role of K+ in catalysis during CO2RR.
Regarding suitably performant but well-defined systems, Nickel single-atom catalysts have been reported as state-of-the-art in converting CO2RR to CO, particularly the highly symmetric Ni-N4 structure14, despite ground-state DFT calculations indicating that the Ni-N4 site remains largely inert for both CO2RR and hydrogen evolution reaction (HER)11,15,16. This contradiction between theory and experiment likely arises from calculations taking concerted proton-electron transfer (CPET) as the RDS of the reaction without considering the catalytic role of K+, as a significant promoting effect of K+ during CO2RR has been observed experimentally. Because the Ni-N4 structure has a reaction pathway towards only a single product., it allows us to more easily isolate the contribution of K+ to the reaction and the correlating structural changes. The well-defined and unambiguous structure of the Ni-N4 structure is also ideally suited to rationalize these findings with computational methods, which enables us to integrate experiment and theory into a clear picture of the K+-determined reaction pathway. Meanwhile, considering the easy transfer of electrons from nickel sites to CO2 and the lower thermodynamic energy of chemisorbed CO2− compared to that of adsorbed COOH on Ni-N4 sites11, the potential stabilization effect from K+ to chemisorbed CO2− may instigate an RDS alteration, which is instrumental to give explicit experimental evidence for the interaction between K+ and chemisorbed CO2−. We, therefore, choose a Ni-N4 single-atom catalyst as a model system in our study, which possesses the properties laid out above.
Herein, we performed in situ XANES and in situ Raman spectroscopy to track the structure evolution and adsorption behaviors of the Ni-N4 site during the reaction, and we complement this with electrochemical analysis to quantify the effect of K+ on the reaction kinetics. These findings elucidate that the origin of enhanced catalytic activity of K+ lies indeed in its ability to stabilize chemisorbed CO2− by a non-covalent interaction. The stabilized chemisorbed CO2− further serves as a reactant, leading to an RDS shift from CPET to proton transfer, lowing the reaction barrier and thus delivering excellent performance for CO2RR. By incorporating these experimentally derived constraints into our initial GCP-K calculations model, we achieve a harmonious match between simulated CO2RR performance and experimental results. This reconciliation bridges the longstanding gap between theoretical predictions and empirical observations and provides solid evidence for a K+ determined reaction mechanism shift on a Ni-N4 catalyst.
Results
It has been demonstrated that molecularly dispersed Nickel phthalocyanine (NiPc) catalysts (NiPc-MDE) exhibit nearly 100% selectivity for CO evolution during CO2RR14. However, despite its specificity, its practical application is hindered by its high production cost and susceptibility to aggregation. Moreover, its low metal loading makes it unsuitable for spectral investigations, and its performance at industrial current densities is restricted by insufficient mass transfer efficiency17,18,19. To address these limitations, a Ni-CN single-atom catalyst with uniform Ni-N4 sites and high mass transfer efficiency (Ni-N4-HM) was developed as depicted in Fig. 1a. Typically, Ni atoms were adsorbed into ZIF-8 at first, subsequently the dried powder was mixed with NaCl by grinding. The mixture was then annealed at 950 °C to achieve Ni-N4-HM. During this process, molten NaCl introduces porosity to the substrate and facilitates atomic rearrangement20,21, and high temperature favors the rearrangement of atoms around the Ni center to form the thermodynamically stable Ni-N4 configuration22. For comparison, Ni-CN-ZIF is obtained by directly annealing ZIF-8 powder that absorbed Ni atoms in advance. For Ni-CN-BLE, ZIF-8 was directly annealed with NaCl powder after mixing, then the obtained CN substrate absorbed Ni atoms followed by annealing at 950° C, this method was adopted to separate the shearing effects of NaCl from the tendency of materials to restructure into their most stable configuration under ultra-high temperature conditions to form a catalyst with blended active sites.
a schematic presentation of the synthesis of Ni-N4-HM. The insets represent partially enlarged illustrations. b LSVs of Ni-N4-HM, Ni-CN-BLE, Ni-CN-ZIF, and NiPc-MDE conducted in CO2-saturated 0.5 M KHCO3 in H-type cell (without iR compensation). Inset shows the expanded partial region around onset potential. c CO Faradaic efficiencies at various potential versus RHE in H-type cell (without iR compensation). d CO Faradaic efficiencies at various current densities in a flow cell setup (1 M KOH).
A series of characterizations were performed to verify the successful synthesis of Ni-N4-HM. Transmission electron microscopy (TEM) images (Supplementary Fig. 1) show that molten salt indeed restructures the ZIF-8 substrate21. Evidence from High-angle annular dark-field scanning transmission electron microscopy (HAADF-STEM), X-ray diffraction (XRD) patterns, and Extended X-ray absorption fine structure (EXAFS) spectroscopy demonstrates that the nickel atoms are dispersed atomically across all samples (Supplementary Figs. 1–5). In addition, N2 adsorption-desorption isotherms highlight a significant increase in the BET surface area post-NaCl etching (Supplementary Fig. 6). The Raman spectrum and N 1 s XPS spectrum also prove the restructuring of the substrate (Supplementary Figs. 7, 8).
The CO2 electroreduction performances were used to assess the active centers of the catalysts. During the CO2RR process in an H-type cell, only CO and H2 gas were detected by gas chromatography (GC) (Supplementary Fig. 9a, b), and no liquid product was formed as determined by 1H NMR spectroscopy (Supplementary Fig. 10a). The increased BET surfaces enabled Ni-N4-HM and Ni-CN-BLE to achieve a doubled current density compared to that of Ni-CN-ZIF (Fig. 1b). The onset potential of Ni-N4-HM (− 0.524 V) aligns closely with the NiPc catalyst (− 0.557 V) (Fig. 1b). Moreover, when we normalized the current density of NiPc-MDE to the same Ni content (Supplementary Fig. 11), the on-set potential for NiPc-MDE is − 0.517 V, indicating that the active site of NiPc molecular catalyst possesses similar activity to that of Ni-N4-HM. However, Ni-CN-BLE has a less negative onset potential (− 0.377 V), indicating a significant difference in the active sites of Ni-N4-HM and Ni-CN-BLE. Meanwhile, a clear limiting diffusion current plateau emerges at − 1.0 V, and this plateau also can be found on NiPc-MDE, indicating the same exclusive selectivity for CO2RR on Ni-N4-HM23,24. In Fig. 1c, Ni-N4-HM maintains Faradaic efficiencies (FEs) over 99% within the potential range from − 0.6 V to − 1.1 V, and almost no hydrogen is produced at this potential window (Supplementary Figs. 12, 13). Such an exclusive selectivity is also in line with a NiPc molecular catalyst. On the contrary, the CO FE for Ni-CN-BLE rapidly decreased to below 95% upon reaching − 0.65 V. Subsequently, we tested Ni-N4-HM in flow-cell setups to further identify the exclusive selectivity of Ni-N4-HM (Supplementary Figs. 14–18). It achieves 1 A cm−2 at − 0.8 V with a CO FE of over 99% (Fig. 1d). No liquid phase product is formed and hydrogen content is almost undetectable (Supplementary Figs. 7c, d, 8b). Although Ni-CN-BLE can achieve a high current density of 300 mA/cm2, maintaining selectivity at industrial current density proved challenging, further confirming that Ni-N4-HM and Ni-CN-BLE possess different active sites. Therefore, we conclude that Ni-N4-HM has been successfully synthesized with a uniform Ni-N4 active site. Its exclusive selectivity is also what enables it as a suitable catalyst to investigate the mechanistic influence of K+ on the CO2RR.
To explore the mechanistic influence of K+ in CO2RR, the performance of the Ni-N4-HM was measured under different conditions with or without K+. Figure 2a shows I–V curves obtained in 0.5 M KHCO3 solution with either Ar (blue) or CO2 (red) introduced. The pink curve represents the H2 partial current density derived from the red curve (with CO2). The misalignment of the blue and pink curves indicates that the HER is inhibited by CO2 in the presence of K+, suggesting that the reaction barrier of CO2RR is lower than that of the HER in the presence of K+. For comparison, I–V curves taken in the absence and presence of K+ are compared in Fig. 2b. Here, the red and blue curves, which again represent the conditions with CO2 and Ar, respectively, virtually coincide. This shows that in the absence of K+, CO2 cannot hinder the HER. In contrast, the introduction of K+ leads to a misalignment of the purple and pink curves, indicating that the Ni-N4-HM catalyst is inactive for HER but very active for CO2RR in the presence of K+. Further enhanced activity for CO2RR is also observed as the concentration of K+ increases (Supplementary Fig. 19). Drawing from these observations, it is evident that in the absence of K+, the catalyst is active for the HER and remains inactive for CO2RR even when CO2 is introduced, indicating the reaction barrier of HER is usually lower than that of CO2RR. While in the presence of K+, the catalyst shows a pronounced activity for CO2RR and largely sidelines the HER, suggesting that CO2RR takes precedence over HER, and the reaction barrier of CO2RR is now lower than that of HER. Subsequently, rotating disk electrode (RDE) measurements were also employed to further explore these kinetics. The results suggest that persistent sluggish kinetics impede the progress of CO2RR (Supplementary Fig. 20). Subsequently, to determine how this drastic transition in reaction barrier is generated, we further investigated the RDS of this reaction. I–V curves with a variation of pH level are provided in Supplementary Fig. 21, where the slight difference between these two curves reveals that the reaction is independent of the H+ concentration in the presence of K+. Meanwhile, the kinetics isotope effect was studied by substituting H atoms with D atoms, showing that the RDS is related to the proton transfer (Fig. 2c). The value of the Tafel slope offers more direct insights (Fig. 2d). Without K+, the value of Tafel slope of JCO is 122.6 mV dec−1, indicating the RDS of this reaction is CPET. In contrast, with abundant K+, regardless of pH fluctuations, the value of the Tafel slope remains around 60 mV dec−1, indicating that the RDS of this reaction is proton transfer. Therefore, we have identified an RDS shift of CO2RR upon the introduction of K+ over the Ni-N4 site. With K+, the RDS shifts towards proton transfer, which favors CO2RR, whereas without K+, the RDS remains CPET, which favors HER.
a LSVs of Ni-N4-HM in 0.5 M KHCO3 solution. Red curve: With CO2 introduced. Blue curve: With Ar introduced. Gray curve: Experimental partial current density for HER derived from the red curve (CO2 introduced). b LSVs of Ni-N4-HM in different solutions, but with the same pH value of 3. c Kinetic isotope effect (KIE) determined from comparing electrolytes prepared with D2O vs H2O. d Tafel slopes for different solutions. Note that the purple curve represents the Tafel slope of total current density. The variation of K+ concentration is modulated with the introduction of KCl. The voltage in this figure is not iR corrected.
To clarify how the RDS shift is modulated by K+, we performed in situ XANES measurements CO2 saturated 1 M KHCO3 to track the evolution of the Nickel active site during the reaction (Supplementary Figs. 22–24). We carried out XAS simulations both in the presence and absence of adsorbed carbon species (Supplementary Fig. 25). Figure 3a reveals the influence of COOH adsorption to the Ni site, and Fig. 3b depicts results when the Ni atom is moved out of its plane without introducing any carbon species. Specifically, a significant intensity increase occurs in the pre-edge region (peak A, corresponding to 1s – 3d transition) in both figures due to the D4h symmetry distortion25,26,27,28. Meanwhile, the intensity of peak B corresponds to the 1s – 4pz transition and relates to the intensity of the covalent bond between metal and its coordinated atoms, with shakedown contributions25. This transition is prominent in the square planar geometries and more subtle in the square-pyramidal geometries25,29,30,31. Thus, upon COOH adsorption on the nickel site, the initial square planar geometry transitions to a square-pyramidal geometry, causing a marked decrease in peak B intensity (Fig. 3a), eventually leading to its disappearance. Conversely, in the scenario without any carbon species adsorbed, the square planar geometry remains with a slight elongation in bond length, ultimately leading to a diminished 1s – 4pz transition and only a marginal decrease in peak B intensity (Fig. 3b). Moreover, we can find that peak C’s intensity rises and peak D’s decreases in both figures. This change can be tracked using the IC/ID ratio. As a COOH binds to the nickel site, with structure optimization in VASP, the nickel atom protrudes from the Ni-N4 plane, leading to an increase of IC/ID (Fig. 3a)32. Meanwhile, as the Ni atom shifts out of its plane in the absence of carbon species, the value of IC/ID increases as well (Fig. 3b). Regarding the in situ XANES spectra (Fig. 3c), at − 0.4 V, both HER and CO2RR remain inactive. Yet a subtle increase in IC/ID is observed, coupled with a decline in the rising edge (peak B) compared to the curves collected at OCV. As the applied potential shifts towards more negative values, approaching CO2RR conditions, the value of IC/ID continues its upward trajectory and the intensity of peak B consistently decreases (Fig. 3d), indicating the adsorption of carbon species. However, at − 0.4 V, still at a potential before CO2RR activation, the changes do not stem from adsorbed COOH. Thus, it is plausible to deduce the presence of chemisorbed CO2−. This assumption is further supported by in situ Raman spectra (Fig. 3e). The peaks A and D are assigned to carbon substrate33, remaining constant at different potentials. Peak B corresponds to the C-O bond, and peak C to the asymmetric O-C-O− stretching34,35,36. At − 0.4 V, the peaks B and C emerge. Shifting the applied potential to a more negative region results in a modest decline in peak B, while peak C sees an uptick. Similar tests conducted without the presence of K+ show no apparent changes (Supplementary Fig. 26). These phenomena indicate that at − 0.4 V, the chemisorbed CO2− is generated and adsorbed. Therefore, we propose that prior to the onset potential for CO2RR, the physisorbed CO2 transitions to chemisorbed CO2−, and in the presence of K+, chemisorbed CO2− is stabilized.
a Comparison of simulated XANES spectra of Ni-N4 and Ni-N4-COOH, shaded regions represent different transitions. b Comparison of simulated XANES spectra: variations in Nickel atom protrusion from the plane. c Normalized in situ nickel K-edge XANES spectra of Ni-N4-HM in CO2 saturated 1 M KHCO3 buffer at different applied potentials. d zoom-in difference spectra of (c). e in situ Raman spectra in CO2 saturated 1 M KCl solution with a variation of applied potential.
So far, we suggest that K+ stabilizes chemisorbed CO2− during CO2RR, influencing the reaction pathway. As illustrated in Fig. 4, the physisorbed ground-state CO2 can transition into chemisorbed CO2− by fast electron transfer11. Without the stabilization from the interaction with K+, the unstable chemisorbed CO2− reverts back to physisorbed CO2, making CPET the RDS. Under these circumstances, the reaction barrier of CO2RR is higher than that of HER, leading to an inactivity for CO2RR. However, when K+ is present, the chemisorbed CO2− is stable long enough to serve as a subsequent reactant, leading to an altered RDS. The CPET is no longer the only viable reaction path, instead, separated proton transfer and electron transfer can occur, which translates to proton transfer being the actual RDS in this scenario. Consequently, the reaction barrier is significantly reduced and indeed lower than that of the HER, resulting in a strong preference towards CO2RR.
The blue upward arrow signifies the energy barrier of this step. As we can see, physisorbed CO2 can transition to chemisorbed CO2− with electron transfer, which is unstable. In the absence of K+, this chemisorbed CO2− remains unstable and reverts to a physisorbed CO2, steering the reaction pathway towards CPET. In this pathway, the reaction barrier is higher than that of HER, leading to an inactivity for CO2RR and a high FE for HER. In contrast, when K+ is present, the interaction with chemisorbed CO2− ensures its stability. Consequently, the RDS transitions to proton transfer, which boasts a substantially lower barrier than that of CPET, as well as that of HER. As a result, the Ni-N4 site exhibits exceptional activity and selectivity for CO2RR.
Complex electrocatalytic reactions in aqueous solution, such as the HER and CO2RR, exhibit dependencies on multiple descriptors8,37,38. Any electrocatalytic reaction is driven by an applied potential across the reaction cell, leading to a strong correlation between activity and applied potential. In addition, the ET processes in these reactions sometimes involve partial charge transfers rather than consuming a full electron (Supplementary Note 2). Therefore, the conventional approach of heterogeneous thermal catalysis, which relies primarily on temperature and pressure, may not suffice to describe intricate systems like CO2RR39. To address these, we employ an emerging method called Grand Canonical Potential Kinetics (GCP-K), an advancement over conventional Quantum Mechanics (QM, fixed numbers of electrons) that allows for variable electron numbers40. Unlike the traditional Butler-Volmer description, where the electron transfer occurs between molecules and electrodes to achieve the final state (Fig. 5a), the GCP-K method maintains continuous changes in reaction barriers with the applied voltage (Fig. 5b, c). This innovative approach better captures the complexities of electrocatalytic systems, providing an accurate relationship between current density and potential. Consequently, it facilitates direct comparisons with experimental observations, offering a more comprehensive understanding of these intricate processes. (Supplementary Notes. 3, 4)39.
a schematic of the traditional Butler-Volmer reaction kinetics, the blue curve represents the reactant, the red one is for the product at U0, and the green one is for the product at U1. As the potential changes from U0 to U1, the energy profile shifts from the red line to the green line. So, we can describe the traditional Butler-Volmer kinetics as a special case of the GCP-K scheme with the electron transfer instantaneously. b the linear relationship between the bond distance and charge in Grand canonical potential kinetics, the energy of TS at different applied potentials thus can be obtained. c Grand canonical potential kinetics methodology, illustrating the relationship between the TS geometry and its charge as applied potential changes. The red curve represents the reaction pathways for the conversion of COOH to CO on Ni-N4 at − 0.43 V applied potential and the blue one is for − 0.75 V applied potential. Inserts are used to give intuitive images of the bond distance difference between the TS geometry at different applied potentials, and the TS at − 0.43 V can transform into the TS at − 0.75 V with a charge of 0.3 electrons.
To obtain a rational configuration for the K+-H2O-CO2 system on the Ni-N4 site, the ab initio molecular dynamics (AIMD) simulations were carried out first (Supplementary Note. 5 and Supplementary Figs. 27, 28). As shown in Fig. 6a, the radial distribution function g(r) of the O-K+ pair was extracted from the equilibrated AIMD trajectory. Within a range of 2.75 Å to 3.0 Å, five O-K+ pairs were identified, with the O atom in the O-K+ pair at around 3.0 Å being associated with the CO2 molecule. These results confirmed a proper description of the K+ coordination shell, as the estimated O-K+ distances dO-K+ for H2O molecules in the first solvation shell matched well with the previous reports5. In addition, to further probe the role of K+ on CO2 stabilization, K+ was moved to a position away from the CO2 molecule at the H2O–M+–CO2/Ni-N4 interface after the equilibration of the H2O–M+–CO2–Ni-N4 system. We found that the angle between O-C-O in CO2 molecular rapidly increased from 140◦ to nearly 180◦ (Fig. 6b). This observation unequivocally underscored the pivotal role of K+ in facilitating CO2 stabilization.
a The radial distribution function g(r) and the corresponding integrated coordination number of the O-K+ pair in an equilibrated AIMD trajectory. b Evolution of the Ni-C distance, O-C-O angle, and K-O (CO2) distance before and after the K+ ion left the active site. The purple dashed line represents the leaving of K+. In the left region, where K+ remains near the surface and interacts with chemisorbed CO2−, the Ni-C distance maintains around 2 Å, and the angle of O-C-O keeps steady below 140°, which means the interaction exists all the time and chemisorbed CO2− never leaves. The left insert is a partial view of chemisorbed CO2− stabilized by K+. In the right region, as K+ moves away from the surface, the O-C-O angle becomes a right angle, and the interaction between K+ and CO2− disappears, then the CO2 without stabilization from K+ leaves the active center. The right insert shows the partial view of spontaneous desorption of CO2 as K+ departs. c Calculated partial current density for CO formation on Ni-N2C2 (green curve), Ni-N3C1 (blue curve), and Ni-N4 (red curve) along with experimental data of this work (dotted curve) for comparison. The purple dotted line indicates the onset potential at the current density of 1 mA cm−2, with the equivalent nickel site numbers. d Partial current density for CO formation on Ni-N2C2 (green curve), Ni-N3C1 (blue curve), and Ni-N4 (red curve). The dotted blue curve following the blue curve is also the calculated prediction, indicating the RDS changes to the CO leaving the active site. e Faraday efficiency calculated for Ni-N2C2 (green curve), Ni-N3C1 (blue curve), and Ni-N4 (red curve).
Using the GCP-K method alongside AIMD-derived configuration (Supplementary Figs. 29–36), we compute the CO partial I–V curves starting from chemisorbed CO2− as the primary reactant (Fig. 6c), yielding a strong alignment with the empirical data. The predicted onset potential (at 1 mA cm-2) for CO2RR on the Ni-N4 site is − 0.59 V versus RHE, diverging from the empirical value (− 0.52 V) by 0.07 V. Notably, the onset potential for Ni-N4 site is more negative than that of others (− 0.50 V for Ni-N3C1, − 0.36 V for Ni-N2C2). Similarly, the simulated onset potential for HER on the Ni-N4 site is about − 1.2 V, aligning closely with the observed value (Supplementary Fig. 37). Simulated onset potential for HER on the Ni-N3C1 site is about − 0.5 V and − 0.4 V on Ni-N2C2 site (Supplementary Figs. 38, 39), remarkably close to their respective CO2RR onset potentials. These results reflect that the Ni-N4 site possesses a more negative onset potential of total current density compared to the Ni-N3C1 and Ni-N2C2 sites, which is in line with observations in Fig. 1b that Ni-N4-HM and NiPc molecular catalysts possess a more negative on-set potential, while Ni-CN-BLE with blend active sites possesses a less negative on-set potential. I–V curves in Fig. 6d present the capability of Ni-NxC4-x sites to achieve industrial-level current density. Remarkably, the Ni-N4 site exhibits an exceptional current density of 1.2 A/cm2, while the maximal CO partial current density of Ni-N2C2 and Ni-N3C1 sites lag significantly. This difference aligns with the empirical data in Fig. 1c that Ni-N4-HM with Ni-N4 site achieves an exclusive FE at a current density of 1 A/cm2, while Ni-CN-BLE with blend sites can only reach a maximum CO partial current density of 250 mA/cm2. This suggests that only the Ni-N4 site effectively mitigates the interference from HER due to its HER onset region being more negative than its working condition, while the early-emerged HER on Ni-N2C2 and Ni-N3C1 sites curtail their CO partial current density. Furthermore, the inverse trend of current density in the blue curve is partially contributed by the high energy barrier of CO desorption (Supplementary Fig. 40). In this potential range, the RDS transitions to CO desorption. This observation underscores the limitation of predicting complex systems with a single descriptor. Considering the contest with HER, the FE of each site is graphically presented (Fig. 6e). The Ni-N4 site maintains a FE of over 99.5% from the onset potential to − 0.95 V, followed by a modest decline to an FE of 95% at − 1 V, matching well with the empirical data in Fig. 1d. Ni-N3C1 site can reach a FE exceeding 90% within a narrow potential window of just 0.1 V, but the drop emerged at − 0.7 V, while Ni-N2C2 site is largely inert for CO2RR. Moreover, the Tafel slope value is also presented (Supplementary Fig. 41), in which the Ni-N4 site has a Tafel slope of 51.8 mV dec−1. This strongly supports the argument that in the presence of K+, the RDS of CO2RR is proton transfer. In conclusion, by comparing the simulations with empirical data, we validate our proposed mechanism that K+ stabilizes chemisorbed CO2−, allowing it to bifurcate the CPET process. This results in a shift of the RDS to proton transfer and an alleviated CO2RR reaction barrier, which is ultimately the cause for exclusive selectivity of the Ni-N4 site.
In summary, our studies identified the RDS shift upon the introduction of K+ into solution by kinetics studies. We further tracked the structure evolution and adsorbed species of the Ni site by in situ XANES and Raman spectroscopy to clarify exactly how the RDS was modulated by K+, which suggested that the chemisorbed CO2− can be stabilized below the on-set potential. These integrated findings revealed that K+ modulates the reaction pathway by non-covalent interaction with chemisorbed CO2−, shifting the RDS from CPET to independent proton transfer, leading to a reduced reaction energy that makes CO2RR preferentially proceed over HER in the presence of K+. Using this K+-stabilized model and taking proton transfer as the RDS, GCP-K simulations achieved well-matched results with the experimental data, compounding the rationality of this proposed mechanism. Consequently, we obtained a revised CO2RR mechanism in an aqueous solution, which further harmonizes the gap between theoretical predictions and practical catalysis on Ni single-atom catalysts.
Methods
Computational methods
The spin-polarized calculations of the reactants, intermediates, products, and reaction process involved in CO2RR on the Ni single-atom catalysts were carried out with the density functional theory (DFT) within the PBE41 exchange-correlation functional with the generalized gradient approximation (GGA)42, as implemented in the VASP43. The ion-electron interaction was described with the projector-augmented plane-wave (PAW) method44. To simulate the Ni single-atom catalysts, a 5 × 5 graphene supercell was chosen and two adjacent C atoms were removed to construct a divacancy to load the single Ni atom, which is coordinated to 2–4 N/C atoms through strong covalent bonds, denoted as Ni-N2C2, Ni-N3C1, and Ni-N4. To avoid the interlayer interaction, the vacuum layer is set to be 15 Å between two graphene layers. To simulate the role of K+ and explicit H2O in the process of CO2RR, one K+ with 7 H2O molecules around was placed nearby the active site of catalysts. For geometry optimization, the cut-off energy was set to be 500 eV and the Brillouin zone was sampled with 5 × 5 × 1 k-points. The systems were relaxed until the energy and force reached the convergence threshold of 10−6 eV and 0.015 eV/Å, respectively. We describe the van der Waals (vdW) interactions by utilizing the DFT-D3 method45. Atomic coordinates of structures can be found in Supplementary Data 1.
In the ab initio molecular dynamics (AIMD) simulation model, 68 water molecules, leading to an average density of ∼ 1 g cm–3 were placed to construct the solvent water environment. Under the canonical ensemble (NVT), the AIMD simulations last 10 ps with a timestep of 1 fs, in which the temperature is controlled at 300 K using Nosé–Hoover thermostats46,47.
For the elementary reaction barriers, free energy for each point along the NEB48 reaction path was calculated by VASP, thus, the configuration of the transition state could change adiabatically with the applied potential. To obtain the transition states and reaction pathway, the transition state tools for VASP (VTST) package49 with climbing image nudged elastic band (CI-NEB)50 was used.
After obtaining the optimized geometry, we performed the single-point jDFTx51 calculations to obtain the combined DFT and solvation free energy. The jDFTx computations were elected due to the accuracy of including constant potentials for electrochemical reaction and in describing continuum solvation. However, because the obtained configurations are similar in both jDFTx and VASP, so a single-point computation is sufficient for the stable species. In addition, to describe the solvation implicitly, the CANDLE solvation model was applied in jDFTx. μe;SHE = 4.66 eV was applied for all structures. With a k-point mesh of 5 × 5 × 1, we applied a plane wave basis set with an energy cutoff of 20 Hartree. The systems were relaxed until the free energy convergence threshold of 10−8 Hartree.
Chemicals
All the chemicals were analytical grade and used without further purification. Analytical grade Sodium chloride (NaCl, 99.5%), Zinc nitrate hexahydrate (Zn(NO3)2·6H2O, 99.0%), Nickel (II) nitrate hexahydrate (Ni(NO3)2·6H2O, 98.0%), Ferric nitrate hexahydrate (Fe(NO3)3·9H2O, 98.5%), 2-methyl imidazole (98.0%), Potassium hydroxide (KOH, 85.0%) and Potassium bicarbonate (KHCO3, 99.5%) were obtained from Shanghai Chemical Reagents, China. Iridium (III) chloride hydrate (IrCl3·xH2O, 99.9%) was purchased from Alfa Aesar. Nafion solution (5%) was purchased from Aldrich. Deionized (DI) water from a Milli-Q System (Millipore, Billerica, MA, USA) was used in all experiments.
Synthesis of ZIF-8
Typically, 1.116 g Zn(NO3)2·6H2O was dissolved in 30 ml methanol and 1.232 g 2-methyl imidazole was dissolved in 30 ml methanol, followed by adding Zn(NO3)2 solution into the other one under ultrasound for 100 min at room temperature. Then the ZIF-8 was set aside for growing overnight. The as-obtained precipitates were centrifuged and washed three times with methanol, then dried at 65° C in a vacuum for overnight.
Synthesis of Ni-N4-HM
In a normal procedure, 200 mg Nickel (II) nitrate hexahydrate was dissolved in 250 mL ethanol, and the powder of ZIF-8 (100 mg) and powder of NaCl (3 g) were mixed by grinding in mortar, then 1.5 ml Nickel (II) nitrate hexahydrate solution was added to be adsorbed into the ZIF-8. Next, the dried powder was transferred into a tube furnace and heated to 950 °C (heating rate 10 °C/min) for 2 h in a stream of Ar (20 mL/min). The annealed powder was washed with a mixture of ethanol and water three times and then dried in a vacuum to obtain the Ni-N4-HM. The Ni content was measured to be 0.52 wt% based on ICP-AES analysis.
Synthesis of Ni-CN-ZIF
Ni-CN-ZIF was synthesized by using an ionic exchange method15. The ZIF-8 powder was uniformly dispersed in 10 ml of n-hexane by ultrasonic treatment for 5 min at room temperature. Once a homogeneous solution was obtained, 50 µL of Ni(NO3)2 aqueous solution(100 mg/mL) was slowly added into the homogeneous solution, followed by ultrasonication for 2 min at room temperature. To make the Ni species adsorbed, the obtained solution was stirred for 3 h. The mixture was then centrifuged, and the powder was dried in a vacuum. Next, the dried sample was transferred to a tube furnace and heated at 1000° C (with a heating rate of 10° C/min) for 2 h at an Ar atmosphere (20 mL/min) to yield Ni-CN-ZIF. The Ni content was measured to be 1.13 wt% based on ICP-AES analysis.
Synthesis of Ni-CN-BLE
The powder of ZIF-8 (100 mg) was mixed with NaCl (3 g) by grinding, followed by annealing at 950° C for 2 h in tube finance, the product was then washed with the mixture of ethanol and water and dried in vacuum to obtain the CN-substrate. Next, the powder of CN-substrate (100 mg) was dispersed in 50 mL Ni(NO3)2 aqueous solution (800 mg/L) and stirred for 3 h. Then the substrate was centrifuged and dried. Finally, the sample was transferred into a tube finance and annealed at 950° C (heating rate 10° C/min) for 2 h in a stream of Ar (20 mL/min). The cooled powder was Ni-CN-BLE. The Ni content was measured to be 0.67 wt% based on ICP-AES analysis.
Synthesis of NiPc-MDE
In a normal procedure14,52, the Carbon nanotubes (CNTs) were cleaned by calcination at 500° C in air for 2 h followed by washing with a 5 wt% HCl aqueous solution. The purified CNTs were filtered and washed with DI water. Then, 30 mg of the purified CNTs was dispersed into 30 ml of DMF under sonication. The DMF solution with NiPc dissolved was subsequently added to the CNT suspension in sonication for 30 min to make sure it was a well-dispersed solution which was further stirred at room temperature overnight. Subsequently, the product was centrifuged, and washed with DMF and ethanol, followed by lyophilization. The Ni content was measured to be 0.23 wt% based on ICP-AES analysis.
Material characterizations
Powder X-ray diffraction patterns of samples were collected using a Rigaku Miniflex-600, operating at 40 kV voltage and 15 mA current with CuKα radiation (λ = 0.15406 nm). Aberration-corrected high-angle annular dark-field scanning transmission electron microscopy (HAADF-STEM) images and energy-dispersive X-ray spectroscopy (EDS) mapping of samples were provided by a JEOL JEM-2010 LaB6 high-resolution transmission electron microscope operated at 200 kV. Elemental content analysis of Ni of all samples was identified by inductively coupled plasma atomic emission spectrometry (ICP-AES) on an Optima 7300 DV. Micromeritics Tristar II3020 M was used to determine the Brunauer-Emmett-Teller (BET) specific surface area, samples were degassed at 300° C for 3 h to prepare for adsorption-desorption isotherm measurements. X-ray photoelectron spectroscopy (XPS) spectra were obtained using a PHI 5000 Versa microprobe with Al Kα radiation, referencing the C1s peak at 284.8 eV. During chronoamperometry, effluent gas from the cell was analyzed using a PANNA A91 gas chromatograph. The gas chromatograph, equipped with molecular sieve 5 A, Porapak Q 80/100 mesh, SE-30, and HP-Al2O3/S capillary columns, used ultra-high purity helium as the carrier gas to determine gas product concentrations.
In situ XANES measurements
The Ni K-edge (8333 eV) XANES spectra were measured at the BL14W1 beamline of the Shanghai Synchrotron Radiation Facility (SSRF). The storage ring of SSRF was operated at 3.5 GeV with a maximum electron current of 250 mA. The hard X-ray beam was monochromized using a Si(111) double-crystal monochromator and further suppressed for harmonics by 30% detuning. In situ, XANES measurements were performed in the fluorescence mode using a custom-designed reaction cell. The Ni K-edge (E0) position was calibrated using a Ni foil reference, and all XANES data were collected within a single beam time to ensure consistency. The collected XANES spectra were processed using the ATHENA module of the IFEFFIT software package53, which includes background subtraction, normalization, and energy calibration. Further analysis, including linear combination fitting and principal component analysis, was used to elucidate the evolution of Ni species during the reaction process.
XANES simulations
Reasonable parameters are selected for the convolution of the calculated spectra employing an energy-dependent arctangent shape of the Lorentzian profile (details can be found in the manual for the FDMNES program54). The calculated convolution spectrum after the common shift is compared with the p-state projection of the Ni absorber (pDOS). The maximum white line peak of the XANES spectrum is aligned with the maximum p-state projection of the Ni absorber to evaluate the rationality of parameters.
In situ Raman measurements
The Raman spectroscopy measurements were performed on a Horiba LabRAM HR Evolution Raman microscope with a 785 laser. We measure in static mode with an Olympus LUMFLN60XW water-dipping objective, 2.25 mW laser power, and an acquisition time of 10 s, we measured two different Raman windows separately (1200–1450 cm–1, 1450–1800 cm–1). All measurements were carried out in the solution of 1 M KCl with CO2 gas purged continuously.
Preparation of the cathode electrodes
For the H-type cell, the area of the working electrode was fixed at 1 cm−2. The catalyst ink consisted of 5 mg catalyst, 40 \(\mu L\) Nafion solution, and 1 mL 1:1 (vol/vol) ethanol/water mixed solvent was sonicated for 60 min at room temperature to form the homogeneous ink. The well-dispersed ink was dip-coated onto the electrode to reach the loading of 0.4 mg/mL.
For the Flow cell, the carbon paper (Sigracet 35 BC) with a microporous layer (MPL) was purchased from the Fuel Cell Store. The well-dispersed ink was airbrushed onto the gas diffusion layer using an Anest Iwata RG-3L airbrush (Japan) pumped by an air compressor at a certain pressure of 60 p.s.i to reach a loading of 0.4 mg/cm2 for the Flow cell test. The gas diffusion electrodes (GDEs) were dried in a vacuum chamber before use.
For the rotating disk electrode, the well-dispersed ink was dipped onto the glassy carbon RDE to obtain a loading of 0.1 mg/cm2
Preparation of the anode IrO2-Ti mesh
The IrO2-Ti mesh was prepared by a modified thermal decomposition and dip coating method. Briefly, acetone and de-ionized water were used to degrease the titanium mesh, which was then etched in a 6 M HCl solution for 20 min before coating. The dip coating solution consisted of 30 mg of IrCl3·xH2O, and 1 ml concentrated HCl was dissolved in 9 ml isopropanol. Then the fresh titanium mesh was dipped into the IrCl3 solution followed by calcination in a furnace at 500 °C for 10 min. The process of coating was repeated until a certain loading was achieved (2 mg/cm2).
Preparation of FeNi-LDHs/Ni mesh
The Ni mesh washed with 5 M HCl aqueous solution was used to electrodeposit. The FeNi-LDHs was electrodeposited on the as-prepared Ni mesh in a 25 mL electrolyte bath containing Ni(NO3)2·6H2O (3 mM) and Fe(NO3)3·9H2O (3 mM) at − 1.00 V (vs. Ag/AgCl) at 25 °C for 120 s. After the reaction, the mesh was washed thoroughly with DI water. The FeNi-LDHs/Ni mesh anode was used in the Flow cell system.
Electrochemical measurements
The electrochemical measurements were conducted with a PGSTAT302N workstation with a 10 A Booster M204 and CHI760E. All the electrolytes are stored in a PFA bottle. For H-type cell tests, the two gas-tight cells were separated by Nafion212 membrane, a Pt foil was used as a counter electrode to generate OER, an Ag/AgCl electrode was used as a reference electrode, which is calibrated in a 0.1 M Na2SO4 Solution. 0.5 M KHCO3 aqueous solutions pre-saturated with CO2 were used as electrolytes for each chamber. For the electrolyte with a pH value of 4 (4.0 ± 0.1), 2 M KCl and 0.00005 M H2SO4 dissolved in the DI water with CO2 gas saturated to make the electrolyte. The area of the working electrode was fixed as 1 \(\times\) 1 cm2, and CO2 gas was purged in during the reaction. All potentials were measured against an Ag/AgCl reference electrode (saturated KCl, obtained from Tjaida and stored in a saturated KCl solution before use) and converted to the reversible hydrogen electrode (RHE) scale by
For the gas-tight Flow cell system, a CO2 gas compartment and two liquid compartments with channels of dimensions 2 cm × 0.5 cm × 0.3 cm were separated by carbon paper and an anion-exchange membrane respectively. The gaseous CO2 could pass behind the GDL into the cathode electrolyte and then go out with gas product. The catholyte and anolyte were separated by an anion exchange membrane (Sustainion 37–50, Dioxide Materials). The FeNi-LDHs/Ni mesh was used as an anode, and an Ag/AgCl electrode was used as a reference electrode. The area of the working electrode was fixed as 2 \(\times\) 0.5 cm2, 1 M KOH aqueous solution was used as an electrolyte to be circulated, and the gas flow rate increased along with the current density increase. All potentials were measured as mentioned above. Resistance in the flow cell is 1.48 Ω for Ni-N4-HM, 1.53 Ω for Ni-CN-BLE, and 2.16 Ω for Ni-CN-ZIF. An IR correction was compensated by:
A factor of 0.8 is applied for the ohmic potential drop.
The RDE experiment was done using a glassy carbon RDE with a diameter of 5 mm. The electrode was polished by alumina polishing powder (0.05 μm) before use. A Pt foil and an Ag/AgCl electrode were used as counter electrode and reference electrode respectively. 1 M KHCO3 pre-saturated with CO2 gas was used as an electrolyte. The linear sweeping voltammetry curves were collected at a scan rate of 5 mV/S with different rotating speed (400 to 2500 rpm). The electron transfer number (n) and kinetic current density (Jk) can be obtained according to the K-L equation:
Where \(J\) is the total current density from tests, \({J}_{K}\) is the kinetic current density, \({J}_{L}\) is the limiting diffusion current density, \(\omega\) is the angular velocity of the disk, \(n\) is the number of electrons, \(F\) is the Faraday constant, \(C\) is the bulk concentration of CO2, \(D\) is the diffusion coefficient of CO2 in 1 M KHCO3, and \(V\) is the kinematic viscosity of the electrolyte.
CO2RR product analysis
The Faradaic efficiency (FE) of gas products was calculated as
where \({x}_{i}\) is the volume fraction of gas product \(i,v\) the gas flow rate at the cathode outlet measured by a soap film flow meter. \({z}_{i}\) the number of electrons involved in the reaction to produce one molecule of product \(i\), \(F\) the Faraday constant, \({P}_{0}\) the absolute pressure (101.325 kPa), \(R\) the gas constant, \(T\) the temperature, \({I}_{{total}}\) the total current.
The Tafel slope was calculated based on the Tafel equation (ƞ = blog(jCO/jo)), where ƞ is the overpotential, b is the Tafel slope, jCO is the current density for CO formation, and jo is the exchange current density.
Data availability
The data supporting the findings of this study are available within the article and its Supplementary Information files. All other relevant raw data can be obtained from the corresponding author upon request. Source data are provided with this paper.
References
Frumkin, A. Influence of cation adsorption on the kinetics of electrode processes. Trans. Faraday Soc. 55, 156–167 (1959).
Danilovic, N. et al. The effect of noncovalent interactions on the HOR, ORR, and HER on Ru, Ir, and Ru0. 50Ir0. 50 metal surfaces in alkaline environments. Electrocatalysis 3, 221–229 (2012).
Waegele, M. M., Gunathunge, C. M., Li, J. & Li, X. How cations affect the electric double layer and the rates and selectivity of electrocatalytic processes. J. Chem. Phys. 151, 160902 (2019).
Liu, M. et al. Enhanced electrocatalytic CO2 reduction via field-induced reagent concentration. Nature 537, 382–386 (2016).
Monteiro, M. C. et al. Absence of CO2 electroreduction on copper, gold and silver electrodes without metal cations in solution. Nat. Catal. 4, 654–662 (2021).
Gu, J. et al. Modulating electric field distribution by alkali cations for CO2 electroreduction in strongly acidic medium. Nat. Catal. 5, 268–276 (2022).
Le, D. & Rahman, T. S. On the role of metal cations in CO2 electrocatalytic reduction. Nature. Catalysis 5, 977–978 (2022).
Luo, M. & Koper, M. A kinetic descriptor for the electrolyte effect on the oxygen reduction kinetics on Pt (111). Nat. Catal. 5, 615–623 (2022).
Dattila, F., Monteiro, M. C., Koper, M. & López, N. Reply to: On the role of metal cations in CO2 electrocatalytic reduction. Nature. Catalysis 5, 979–981 (2022).
Ovalle, V. J., Hsu, Y.-S., Agrawal, N., Janik, M. J. & Waegele, M. M. Correlating hydration free energy and specific adsorption of alkali metal cations during CO2 electroreduction on Au. Nature. Catalysis 5, 624–632 (2022).
Vijay, S. et al. Unified mechanistic understanding of CO2 reduction to CO on transition metal and single atom catalysts. Nat. Catal. 4, 1024–1031 (2021).
Shin, S.-J. et al. A unifying mechanism for cation effect modulating C1 and C2 productions from CO2 electroreduction. Nat. Commun. 13, 5482 (2022).
Limaye, A. M., Zeng, J. S., Willard, A. P. & Manthiram, K. Bayesian data analysis reveals no preference for cardinal Tafel slopes in CO2 reduction electrocatalysis. Nat. Commun. 12, 1–10 (2021).
Zhang, X. et al. Molecular engineering of dispersed nickel phthalocyanines on carbon nanotubes for selective CO2 reduction. Nat. Energy 5, 684–692 (2020).
Zhao, C. et al. Ionic exchange of metal–organic frameworks to access single nickel sites for efficient electroreduction of CO2. J. Am. Chem. Soc. 139, 8078–8081 (2017).
Hossain, M. D., Huang, Y., Yu, T. H., Goddard, W. A. III & Luo, Z. Reaction mechanism and kinetics for CO2 reduction on nickel single atom catalysts from quantum mechanics. Nat. Commun. 11, 1–14 (2020).
Wu, Z.-Y. et al. A general synthesis of single atom catalysts with controllable atomic and mesoporous structures. Nat. Synth. 1, 658–667 (2022).
Corbin, N., Zeng, J., Williams, K. & Manthiram, K. Heterogeneous molecular catalysts for electrocatalytic CO 2 reduction. Nano Res. 12, 2093–2125 (2019).
Zhu, M., Ye, R., Jin, K., Lazouski, N. & Manthiram, K. Elucidating the reactivity and mechanism of CO2 electroreduction at highly dispersed cobalt phthalocyanine. ACS Energy Lett. 3, 1381–1386 (2018).
Wang, X. et al. Universal domino reaction strategy for mass production of single-atom metal-nitrogen catalysts for boosting CO2 electroreduction. Nano Energy 82, 105689 (2021).
Chen, D. et al. Molten NaCl-induced MOF-derived carbon-polyhedron decorated carbon-nanosheet with high defects and high N-doping for boosting the removal of carbamazepine from water. Environ. Sci. Nano 7, 1205–1213 (2020).
Liu, S. et al. Atomically dispersed iron sites with a nitrogen–carbon coating as highly active and durable oxygen reduction catalysts for fuel cells. Nat. Energy 7, 652–663 (2022).
Marken, F., Neudeck, A., Bond, A. & Scholz, F. Electroanalytical methods: guide to experiments and applications. 57–106 (Springer, 2010).
Yang, H. B. et al. Atomically dispersed Ni (i) as the active site for electrochemical CO2 reduction. Nat. Energy 3, 140–147 (2018).
Colpas, G. J. et al. X-ray spectroscopic studies of nickel complexes, with application to the structure of nickel sites in hydrogenases. Inorg. Chem. 30, 920–928 (1991).
Roe, A. et al. X-ray absorption spectroscopy of iron-tyrosinate proteins. J. Am. Chem. Soc. 106, 1676–1681 (1984).
Yamamoto, T. Assignment of pre‐edge peaks in K‐edge x‐ray absorption spectra of 3d transition metal compounds: Electric dipole or quadrupole? Int. J. 37, 572–584 (2008).
Avakyan, L. et al. Atomic structure of nickel phthalocyanine probed by X-ray absorption spectroscopy and density functional simulations. Opt. Spectrosc. 114, 347–352 (2013).
Bair, R. A. & Goddard, W. A. III Ab initio studies of the X-ray absorption edge in copper complexes. I. Atomic Cu 2+ and Cu (II) Cl 2. Phys. Rev. B 22, 2767 (1980).
Yokoyama, T., Kosugi, N. & Kuroda, H. Polarized XANES spectra of CuCl2· 2H2O. Further evidence for shake-down phenomena. Chem. Phys. 103, 101–109 (1986).
Hou, Y. et al. Unraveling the reactivity and selectivity of atomically isolated metal–nitrogen sites anchored on porphyrinic triazine frameworks for electroreduction of CO2. CCS Chem. 1, 384–395 (2019).
Jia, Q. et al. Experimental observation of redox-induced Fe–N switching behavior as a determinant role for oxygen reduction activity. Acs Nano 9, 12496–12505 (2015).
Ferrari, A. C. et al. Raman spectrum of graphene and graphene layers. Phys. Rev. Lett. 97, 187401 (2006).
Jiang, K., Wang, H., Cai, W.-B. & Wang, H. Li electrochemical tuning of metal oxide for highly selective CO2 reduction. ACS Nano 11, 6451–6458 (2017).
Firet, N. J. & Smith, W. A. Probing the reaction mechanism of CO2 electroreduction over Ag films via operando infrared spectroscopy. Acs. Catalysis 7, 606–612 (2017).
Katayama, Y. et al. Surface (electro) chemistry of CO2 on Pt surface: An in situ surface-enhanced infrared absorption spectroscopy study. J. Phys. Chem. C 122, 12341–12349 (2018).
Strmcnik, D. et al. Improving the hydrogen oxidation reaction rate by promotion of hydroxyl adsorption. Nat. Chem. 5, 300–306 (2013).
McCrum, I. T. & Koper, M. The role of adsorbed hydroxide in hydrogen evolution reaction kinetics on modified platinum. Nat. Energy 5, 891–899 (2020).
Huang, Y., Nielsen, R. J. & Goddard, W. A. III Reaction mechanism for the hydrogen evolution reaction on the basal plane sulfur vacancy site of MoS2 using grand canonical potential kinetics. J. Am. Chem. Soc. 140, 16773–16782 (2018).
Sundararaman, R., Goddard, W. A. III & Arias, T. A. Grand canonical electronic density-functional theory: Algorithms and applications to electrochemistry. The. J. Chem. Phys. 146, 114104 (2017).
Perdew, J., Burke, K. & Ernzerhof, M. Perdew, burke, and ernzerhof reply. Phys. Rev. Lett. 80, 891 (1998).
Perdew, J. P., Burke, K. & Ernzerhof, M. Generalized gradient approximation made simple. Phys. Rev. Lett. 77, 3865 (1996).
Kresse, G. & Furthmüller, J. Efficient iterative schemes for ab initio total-energy calculations using a plane-wave basis set. Phys. Rev. B 54, 11169 (1996).
Perdew, J. P. et al. Atoms, molecules, solids, and surfaces: Applications of the generalized gradient approximation for exchange and correlation. Phys. Rev. B 46, 6671 (1992).
Grimme, S. Semiempirical GGA‐type density functional constructed with a long‐range dispersion correction. J. Comput. Chem. 27, 1787–1799 (2006).
Nosé, S. A unified formulation of the constant temperature molecular dynamics methods. J. Chem. Phys. 81, 511–519 (1984).
Hoover, W. G. Canonical dynamics: Equilibrium phase-space distributions. Phys. Rev. A 31, 1695 (1985).
Henkelman, G. & Jónsson, H. Improved tangent estimate in the nudged elastic band method for finding minimum energy paths and saddle points. J. Chem. Phys. 113, 9978–9985 (2000).
Sheppard, D., Xiao, P., Chemelewski, W., Johnson, D. D. & Henkelman, G. A generalized solid-state nudged elastic band method. J. Chem. Phys. 136, 074103 (2012).
Henkelman, G., Uberuaga, B. P. & Jónsson, H. A climbing image nudged elastic band method for finding saddle points and minimum energy paths. J. Chem. Phys. 113, 9901–9904 (2000).
Sundararaman, R. et al. JDFTx: Software for joint density-functional theory. SoftwareX 6, 278–284 (2017).
Wu, Y., Jiang, Z., Lu, X., Liang, Y. & Wang, H. Domino electroreduction of CO2 to methanol on a molecular catalyst. Nature 575, 639–642 (2019).
Newville, M. IFEFFIT: interactive XAFS analysis and FEFF fitting. J. Synchrotron Radiat. 8, 322–324 (2001).
Bunău, O. & Joly, Y. Self-consistent aspects of x-ray absorption calculations. J. Phys. Condens. Matter 21, 345501 (2009).
Acknowledgements
This work was supported by China Ministry of Science and Technology (2020YFA0710203, Changming Zhao), the National Natural Science Foundation of China (92261105 and 22221003, Yuen Wu), the Joint Funds from Hefei National Synchrotron Radiation Laboratory (KY2060000195, Can Xiong). This work was partially carried out at the USTC Center for Micro and Nanoscale Research and Fabrication. This work was partially carried out at the USTC Center for Micro and Nanoscale Research and Fabrication. Thank the funding support from CAS Fujian Institute of Innovation. We acknowledge the Experimental Center of Engineering and Material Science at the University of Science and Technology of China. We thank the photoemission endstations BL1W1B in Beijing Synchrotron Radiation Facility (BSRF), BL14W1 in Shanghai Synchrotron Radiation Facility (SSRF), BL10B and BL11U in National Synchrotron Radiation Laboratory (NSRL) for the help in characterizations. The DFT calculations in this work were performed at the Supercomputing Center of the University of Science and Technology of China.
Author information
Authors and Affiliations
Contributions
Y.W., F.W., X.G., and T.Y. designed the study. F.W. and X.G. performed the calculations. F.W., S.W., and Z.S. carried out the sample synthesis and electrochemical measurements. S.W., F.W., Y.Y., X.W., and H.P. finished material characterizations. F.W., S.W., and M.F. carried out the in situ Raman measurement. F.W. and X.L. conducted the XAS measurement. L.H., X.L., and T.Y. finished XAS simulations and analysis. Y.W., F.W., X.G., Z. X., S.W., and S.K. wrote the article.
Corresponding authors
Ethics declarations
Competing interests
The authors declare no competing interests.
Peer review
Peer review information
Nature Communications thanks the anonymous, reviewers for their contribution to the peer review of this work. A peer review file is available.
Additional information
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Source data
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.
About this article
Cite this article
Wu, F., Liu, X., Wang, S. et al. Identification of K+-determined reaction pathway for facilitated kinetics of CO2 electroreduction. Nat Commun 15, 6972 (2024). https://doi.org/10.1038/s41467-024-50927-4
Received:
Accepted:
Published:
DOI: https://doi.org/10.1038/s41467-024-50927-4