Abstract
Carbon monoxide electroreduction in alkaline membrane electrode assembly represents an effective approach to achieve carbon neutrality. However, its performance is currently limited by the insufficient modulation of local alkalinity at a full cell level. In this work, we reveal that confining the in situ generated hydroxide at cathode and enriching the bulk hydroxide to anode are the key factors for an efficient carbon monoxide–electroreduction full cell. We thereby propose a silica-confined strategy for electrocatalyst design to maintain high local alkalinity at both cathode and anode by the strong Lewis acid–base interaction between highly electrophilic silicon atom and hydroxide. The developed copper/silica cathode and cobalt/silica anode successfully promote cathodic multicarbon formation and anodic oxygen evolution, thereby improving the full cell energy efficiency. Even under high-rate electrolysis at 900 milliamperes per square centimeter, the selectivity and energy efficiency of multicarbon products remain above 80 and 30%. This achievement highlights the significance of modulating the dynamic hydroxide transport at full cell in enhancing carbon monoxide electroreduction performance.
Customized dynamic OH− transport in membrane electrode assembly promotes energy-efficient CO electroreduction.
INTRODUCTION
Membrane electrode assembly (MEA) as a state-of-the-art electrochemical device holds promise on energy-efficient CO2 conversion and high-value multicarbon (C2+) products (1–4). Substantial efforts have been devoted to modulating Cu-based catalysts for enhanced C2+ selectivity (5–8). High local alkalinity facilitates the efficient formation of C2+ products (9–12). However, direct CO2 electrolysis to C2+ products on Cu-based catalysts in alkaline MEA is limited by poor device performance caused by carbonate precipitation (13–16). As a necessary step in CO2 electrolysis, CO reduction reaction (CORR) has the prominent advantage of high operation stability in alkaline environment (17–21). A cascade CO2 conversion route hence emerges, in which CO is efficiently generated via a two-electron transfer and then supplied to alkaline MEA for C2+ synthesis (22–25). Although the CO electrolysis operates under alkaline environment, there is currently a lack of understanding regarding how to maintain high local alkalinity at both cathode and anode within a full cell. This gap poses challenges for achieving efficient CO-to-C2+ conversion under high current densities.
In a typical flow cell configuration, the catholyte OH− can facilely reach the cathode through diffusion (Fig. 1A). Increasing catholyte alkalinity thereby creates a strong alkaline microenvironment and facilitates C2+ formation in a flow cell. However, in the catholyte-free MEA configuration, the transport of anolyte OH− across anion exchange membrane (AEM) to cathode is limited (Fig. 1B). As revealed by the OH− crossover measurement (Fig. 1C), the slight change in the pH of K2SO4 catholyte confirms the restricted crossover of KOH anolyte through the quaternary ammonia poly(N-methyl-piperidine-co-p-terphenyl) (QAPPT) AEM. Using Cu nanoparticles as the model catalyst (fig. S1), increasing anolyte alkalinity in MEA has a relatively limited effect on improving the selectivity for C2+ products (fig. S2). The evident OH− adsorption peak on Cu crystal after CORR in KCl catholyte (Fig. 1D) demonstrates that the cathodic local OH− in catholyte-free MEA originates from the in situ generated OH− during CORR rather than from bulk OH−. The crux of maintaining high local alkalinity at the cathode to improve C2+ selectivity hence lies in the confinement of in situ generated OH−.
Fig. 1. Origin of local OH− in catholyte-free MEA.
Schematic illustrations on bulk OH− transport in (A) flow cell and (B) MEA configurations. (C) Measurement on anolyte OH− transport across AEM under open circuit voltage (OCV). (D) In situ OH− adsorption curves recorded on Cu electrode before and after CORR at −100 mA cm−2 in 1 M KCl. j represents current density. (E) CORR performances on Cu cathodes modified with cation exchange ionomer (CEI) (i.e., Nafion) or anion exchange ionomer (AEI) (i.e., QAPPT). (F) Schematic illustration on in situ OH− transport under electric field. (G) In situ OH− adsorption curves recorded on Cu electrode after CORR or hydrogen evolution reaction (HER) at different current densities in 1 M KCl.
Ionomers are widely used to modulate ion transport in the microenvironment (26–28). Anion exchange ionomer (AEI; e.g. QAPPT) conducts in situ OH− to the anode, leading to decreased local alkalinity (fig. S3A). Alternatively, cation exchange ionomer (CEI; e.g. Nafion) retains in situ OH− through electrostatic repulsion, thereby maintaining the high local alkalinity (fig. S3B). This substantial effect of CEI is verified by the increased C2+ Faradaic efficiency (FE) during CORR in alkaline MEA using Cu cathode, QAPPT AEM, IrO2 anode, and 1 M KOH anolyte (Fig. 1E). However, under high current densities, the C2+ selectivity on the CEI-modified Cu cathode still decreases markedly. This performance decline is attributed to the migration of in situ OH− to the anode under electric field (Fig. 1F), as verified by the diminishing OH− adsorption peak on Cu crystal along with increased current density (Fig. 1G). At the anode side, oxygen evolution reaction (OER) occurs via the discharge of OH−. AEI conducts bulk OH− to the anode, leading to improved OER performance (fig. S4). However, the migration of bulk OH− through AEI is insufficient to support the OER under high current densities (29). The lack of OH− in the anodic microenvironment causes sluggish OER kinetics and low energy efficiency (EE). Therefore, simultaneously confining the in situ generated OH− at the cathode and enriching the bulk OH− to the anode within the full cell are the key factors for achieving energy-efficient CO-to-C2+ conversion under high current densities.
We here propose a silica-confined strategy for electrocatalyst design to maintain high local alkalinity at both cathode and anode within the full cell. The vacant 3d orbital of electrophilic Si atom has strong coordination ability toward the lone pair electrons of OH−. This strong Lewis acid–base interaction enables the successful modulation of the dynamic OH− transport. The strategy is first validated on the Cu/SiO2 cathode, which restricts the migration of in situ generated OH− from cathode to anode (Fig. 2A). Extending the strategy to the Co/SiO2 anode enhances the migration of bulk OH− from anolyte to anode. On the basis of the maintained local alkalinity within the CO-electroreduction full cell, cathodic C2+ formation and anodic OER are simultaneously promoted. High C2+ FE above 80% and EE above 30% are achieved at an industrial current density of 900 mA cm−2, outperforming most of reported alkaline MEA. This study demonstrates that the catalyst modification strategy based on Lewis acid–base interaction is an effective approach for optimizing membrane electrolysis devices. This strategy offers universal significance for electrolysis devices involving proton-coupled electron transfer.
Fig. 2. Characterization of Cu/SiO2.
(A) Schematic illustration on the confinement of in situ OH− by SiO2 under electric field. (B) SEM image, (C) TEM image, and element mappings of Cu/SiO2. (D) Cu K-edge x-ray absorption near edge structure (XANES) spectra, (E) Fourier-transformed Cu K-edge extended x-ray absorption fine structure (EXAFS) spectra, and (F) wavelet transformation plots of Cu K-edge EXAFS spectra of Cu, Cu/SiO2, and the reference materials. FT, Fourier-transformed.
RESULTS
Synthesis and characterization of Cu/SiO2
Cu silicate precursor is first prepared by a hydrothermal method using SiO2 spheres (fig. S5) as the template. The urchin-like hollow structure with uniform distribution of Cu, Si, and O elements throughout amorphous Cu silicate spheres is revealed by scanning electron microscopy (SEM), transmission electron microscopy (TEM), selected-area electron diffraction (SAED), and element mapping (fig. S6, A to F). Thermal reduction of Cu silicate in H2 atmosphere at 800°C leads to Cu/SiO2 (Fig. 2B). The fine Cu nanoparticles are confirmed by TEM image (fig. S6G). Cu (111) crystal face on the nanoparticles is revealed by high-resolution TEM and SAED (fig. S6H). Element mappings (Fig. 2C) demonstrate the hollow structure of SiO2, and Cu/SiO2 is further verified by x-ray diffraction (XRD) and x-ray photoelectron spectroscopy (XPS) for Cu 2p, Cu LMM, and Si 2p (fig. S7). The Cu cubic crystal corresponding to joint committee on powder diffraction standards (JCPDS) card no.70-3038 is demonstrated in fig. S7A. The metallic Cu state is also supported by fig. S7 (B and C). The absence of Si─O─Cu bond in Cu/SiO2 is revealed by fig. S7D. The Cu content in Cu/SiO2 is 40.6 wt % according to inductively coupled plasma atomic emission spectroscopy (ICP-AES).
As revealed by the Cu K-edge x-ray absorption near edge structure (XANES) spectra (Fig. 2D), the valence state of Cu in Cu/SiO2 and Cu catalysts is close to metallic Cu foil. As shown in the Fourier-transformed Cu K-edge extended x-ray absorption fine structure (EXAFS) spectra (Fig. 2E), the evident Cu─Cu coordination at ~2.2 Å and the absence of Cu─O coordination at ~1.6 Å in Cu/SiO2 and Cu catalysts indicate their native metallic Cu coordination architecture, which is further confirmed in the wavelet transformation plots (Fig. 2F). Pb underpotential deposition (UPD)–stripping test reveals that, with the same Cu metal loading, the electrochemical active surface areas (ECSAs) of Cu/SiO2 and Cu are comparable (fig. S8). Therefore, the difference in the microenvironment induced by SiO2 becomes the primary factor in regulating C2+ selectivity.
Confining in situ OH− for enhanced cathodic CORR
Density functional theory (DFT) calculations (30–34) demonstrate the strong Lewis acid–base interaction between SiO2 and OH−. Cu (111) supported with Si6O13 cluster is used as the theoretical model for Cu/SiO2. The stable structure is verified by on-the-fly machine learning force field (MLFF) ab initio molecular dynamics (AIMD) simulation at 1000 K for 20 ps with a stepsize of 1 fs (fig. S9). As can be seen in Fig. 3A, Si serves as the active site for *OH adsorption (* denoting adsorption site), which exhibits substantially enhanced adsorption compared to Cu site (fig. S10). This strong Lewis acid–base interaction is also validated by NH3 temperature-programmed desorption equipped with mass spectrometry (TPD-MS). As shown in fig. S11, after compositing SiO2, the NH3 desorption peak is substantially enhanced. In the OH− adsorption curves recorded in 1 M KOH (Fig. 3B), the characteristic OH− adsorption peaks occur at more negative potentials on Cu/SiO2. The facile OH− adsorption corresponds to high OH− availability, as further confirmed by the enhanced K+ adsorption (Fig. 3C). In the catholyte-free MEA configuration, as OH− accumulates in the cathodic microenvironment, anolyte K+ migrates to the cathode under electric field to maintain the electric neutrality. The adsorption of K+ on cathode contributes to stabilizing *CO and thereby facilitating C2+ formation via cation-enhanced C-C coupling (35–38). In situ Raman spectroscopy demonstrates the strong *CO adsorption on Cu/SiO2 (Fig. 3D). The increased peak intensity and red-shifted peak position of Cu-CO along with cathodic polarization signify the enhanced adsorption and increased coverage of *CO on Cu/SiO2.
Fig. 3. Enhanced CORR via maintained cathodic local alkalinity.
(A) Adsorption energy (Ead) of *OH on different Si and Cu sites of Cu/SiO2; the lines represent the average value. Avg, average. (B) OH− adsorption curves recorded on Cu/SiO2 and Cu electrodes in 1 M KOH. (C) ECSA-normalized K+ adsorption on Cu/SiO2 and Cu electrodes. (D) In situ Raman spectra during CORR recorded on Cu/SiO2 and Cu electrodes. (E) FE of all products during CORR on Cu/SiO2. a.u., arbitrary units. (F) FE of C2+ products on Cu/SiO2 and Cu. (G) Current densities of C2+ products and cell voltages using Cu/SiO2 and Cu. (H) Free energy diagrams for 2*CO coupling to *OCCO on Cu and Cu/SiO2. TS, transition state. Error bars represent the mean ± SD from three independent measurements.
The CORR performance on Cu/SiO2 is assessed in alkaline MEA with CEI-modified cathode, QAPPT AEM, AEI-modified IrO2 anode, and 1 M KOH anolyte. The C2+ products and hydrogen compose all the products from CORR, and C1 product is absent (Fig. 3E), with the C2+ products such as ethylene, ethanol, acetate, and n-propanol being predominant. Even at current density up to 900 mA cm−2, the FE of C2+ products on Cu/SiO2 appears above 80%, in contrast to the sharply decreased C2+ FE to ~50% at 500 mA cm−2 on Cu (Fig. 3F). In a similar cell voltage, the partial current density of C2+ products increases by three times from 246 mA cm−2 at 2.89 V on Cu to 727 mA cm−2 at 2.88 V on Cu/SiO2 (Fig. 3G). Electrochemical impedance spectroscopy (EIS; fig. S12A) reveals the smaller charge transfer resistance (Rct) of Cu/SiO2, which also has high turnover frequency (TOF; fig. S12B) and high single-pass conversion efficiency (SPCE) of 73% at 900 mA cm−2 (fig. S12C). The excellent C2+ activity on Cu/SiO2 is supported by the reduced energy barrier for 2*CO coupling to *OCCO (Fig. 3H). The enhanced adsorption of *CO and *OCCO on Cu/SiO2 (fig. S13A) contributes to increasing *CO coverage and stabilizing *OCCO. Cu/SiO2 with adsorbed *OCCO has a shifted d-band center (εd) toward the Fermi level compared to Cu (fig. S13B). Charge difference density and Bader charge demonstrate the increased charge transfer to *OCCO (fig. S13, C and D). The main product shifts from acetate on Cu to ethylene on Cu/SiO2 (fig. S14A). DFT results verify the selectivity difference between Cu and Cu/SiO2 (fig. S14, B to D), in which the hydrogenation of *OCCOH to *HOCCOH is favored on Cu/SiO2, leading to the formation of ethylene as the main product (3, 39). Varying the CEI fraction in the catalyst layer of Cu cathode has a limited influence on CORR performance (fig. S15). Cu/SiO2 exhibits much high C2+ selectivity than Cu with varied CEI fraction, demonstrating that the Lewis acid–base interaction induced by SiO2 governs the synergistic effect on improving C2+ selectivity. The effectiveness of the SiO2-confined strategy in maintaining local alkalinity to promote C2+ formation is thus validated on Cu/SiO2 cathode by the excellent CORR performance and DFT results.
Enriching bulk OH− for enhanced anodic OER
High local alkalinity is also crucial for the anodic OER, as increasing the anolyte alkalinity substantially reduces the cell voltage (Fig. 4A). However, because of the rapid consumption of local OH−, this strategy tends to fail under high current densities. To enhance OH− transfer from bulk to microenvironment, we extended the SiO2-confined strategy to anodic Co/SiO2 catalyst. As shown in Fig. 4B, the bulk OH− is conducted through AEI and then enriched in the microenvironment by SiO2, therefore maintaining high local alkalinity under high current densities. Co/SiO2 is obtained by thermal reduction of Co silicate in H2 atmosphere (figs. S16 to S18). The Co cubic crystal and hexagonal crystal corresponding to JCPDS cards nos. 89-4307 and 89-4308 are demonstrated in fig. S18A. The metallic Co state with slight surface oxidation of Co/SiO2 is revealed by fig. S18B. The absence of Si─O─Co bond in Co/SiO2 is confirmed by fig. S18C. The morphology of hollow SiO2 spheres loaded with Co nanoparticles is revealed by TEM image and element mappings (Fig. 4C). The Co content in Co/SiO2 is 44.9 wt % according to the ICP-AES result. As shown in fig. S19, using Si6O13 cluster–supported Co (111) as the theoretical model for Co/SiO2, the DFT calculations demonstrate that Si serves as the active site for *OH adsorption, which exhibits substantially enhanced adsorption compared to Co site (fig. S20). Charge difference density and Bader charge confirm the increased charge transfer from Co/SiO2 to *OH (fig. S21). Because SiO2 is inert to the OER, Co serves as the active site. DFT results verify the migration of *OH from Si site to Co site during OER (fig. S22). The enhanced *OH adsorption increases the *OH coverage on Co surface, thereby facilitating the OER kinetics, as revealed by the decreased energy barrier for the rate-determining step (*O to *OOH) at high *OH coverage (fig. S23). NH3 TPD-MS test (fig. S24) verifies the enhanced Lewis acid property of Co/SiO2, compared with Co (fig. S25). Co/SiO2 exhibits accelerated catalyst reconstruction, as revealed by the negatively shifted anodic oxidation peak (Pa) in the cyclic voltammetry curve (fig. S26). In situ Raman spectroscopy demonstrates the higher OER activity on Co/SiO2 by the obvious *OOH adsorption peak (Fig. 4D), which is further confirmed by the linear scan voltammetry (LSV) curves recorded in 1 M KOH (Fig. 4E). As the bulk OH− is enriched by SiO2 via Lewis acid–base interaction, the high local alkalinity facilitates the evolution of Co to CoOOH. The Lewis acid property of SiO2 and the valence-state evolution of Co to CoOOH jointly drive the improvement in OER performance. An industrial-grade current density of 200 mA cm−2 can be driven at an overpotential of only 438 mV on Co/SiO2, much lower than Co (481 mV). The higher OER activity of Co/SiO2 is also verified by the smaller Rct in the EIS results (Fig. 4F). When comparing with the widely used noble IrO2, Co/SiO2 delivers higher current density and smaller Rct (Fig. 4G) under high overpotentials. The outstanding OER activity makes Co/SiO2 an industrially viable anode for high-rate electrolysis.
Fig. 4. Enhanced OER via maintained anodic local alkalinity.
(A) Cell voltages recorded in 0.5 M K2SO4 or 1 M KOH at 100 mA cm−2 with Cu cathode and IrO2 anode. (B) Schematic illustration on the enrichment of bulk OH− by SiO2. (C) TEM image and element mappings of Co/SiO2. (D) In situ Raman spectra during OER recorded on Co/SiO2 and Co electrodes. (E) LSV curves for OER recorded on Co/SiO2, Co, and IrO2 electrodes at 5 mV s−1 in 1 M KOH. (F) EIS results recorded at 1.53 V versus RHE on Co/SiO2, Co, and IrO2 electrodes from 100 kHz to 0.1 Hz with 5-mV amplitude. CPE, constant phase element. (G) Comparation on the Rct of Co/SiO2 and IrO2 electrodes at different applied potentials. (H) LSV curves for methanol oxidation reaction (MOR) recorded on Co/SiO2 and IrO2 electrodes at 5 mV s−1 in 1 M KOH with 1 M methanol. (I) Potential change from OER to MOR on Co/SiO2 and IrO2 electrodes at 100 mA cm−2. (J) OER durability test on Co/SiO2 electrode in 1 M KOH at 100 mA cm−2.
Methanol oxidation reaction (MOR) in alkaline solution involves the nucleophilic attack of OH− to methanol, which is more active on the OH−-rich surfaces (40). The SiO2-confined strategy of enriching bulk OH− via Lewis acid–base interaction is validated using methanol as the local alkalinity probe. The higher MOR activity on Co/SiO2 is revealed by the LSV curves (Fig. 4H), which is also supported by the larger potential change (Fig. 4I) and bigger current difference (fig. S27) between OER and MOR. These results confirm the high local alkalinity on Co/SiO2. A poisoning test using thiourea (CS(NH2)2) as Lewis base confirms the critical role of SiO2 in enriching bulk OH− (fig. S28). The marked decreased OER current density after adding thiourea reveals the poor OH− availability around the blocked Lewis acid site. Durability test at 100 mA cm−2 demonstrates the high stability of Co/SiO2 during a 40-hour operation (Fig. 4J). The rapid consumption of local OH− during OER at high current density leads to reduced OH− concentration in the anodic microenvironment compared with the bulk anolyte, which keeps SiO2 stable during OER in alkaline solution. The versatility of the SiO2-confined strategy is thereby validated on the Co/SiO2 anode through the enhanced OER activity.
Full cell CO electrolysis
The integration of Cu/SiO2 cathode and Co/SiO2 anode (Cu/SiO2 || Co/SiO2) results in negligible change in the distribution of C2+ products (Fig. 5A). Benefiting from the accelerated OER kinetics, the cell voltage during high-rate electrolysis at 900 mA cm−2 is substantially decreased from 2.88 V using IrO2 anode to 2.64 V using Co/SiO2 anode (Fig. 5B). The EE of C2+ products correspondingly increases to 30.6% (Fig. 5C). More obviously, C2+ current density of 735 mA cm−2 can be obtained at 2.64 V using Co/SiO2 anode, in contrast to only 416 mA cm−2 using IrO2 anode even at higher cell voltage of 2.72 V (Fig. 5D). The improvement becomes more pronounced when compared to the original Cu || IrO2 configuration. Durability test at 500 mA cm−2 demonstrates the high stability of the Cu/SiO2 || Co/SiO2 full cell during a 22-hour operation (fig. S29). The performance achieved in this work outperforms most of reported alkaline MEA configurations (table S1). An energy-efficient full cell CO electrolysis is thereby achieved through the proposed SiO2-confined strategy (Fig. 5E). The strong Lewis acid–base interaction between SiO2 and OH− enables the successful maintenance of high local alkalinity at both cathode and anode under high current densities. Specifically, Cu/SiO2 cathode confines the in situ generated OH− from migration to anode, enhancing the CO conversion to C2+ products. Co/SiO2 anode enriches the bulk OH− to support the high-rate OER, improving the full cell EE.
Fig. 5. Performance of full cell CO electrolysis.
(A) FE of all products during CORR with Cu/SiO2 cathode, Co/SiO2 anode, and 1 M KOH anolyte. Comparation on (B) cell voltage, (C) EE of C2+ products, and (D) current density of C2+ products with different cathode and anode configurations. (E) Schematic illustration on the SiO2-confined strategy to maintain local alkalinity at both cathode and anode within the full cell. Error bars represent the mean ± SD from three independent measurements.
DISCUSSION
Alkaline MEA has the prominent advantages of compact configuration and low internal resistance, representing an advanced direction of electrochemical technologies. Unlike the classic electrode/solution interface, in the electrode/polyelectrolyte interface involved in alkaline MEA, water is no longer a prevalent solvent, and the charge carriers in the alkaline polyelectrolyte are solely the OH− ions. Gaining an in-depth understanding of the dynamic evolution of OH− in alkaline MEA serves as the scientific foundation for designing high-efficiency electrocatalysts to enhance device performance. The present study takes CO electrolysis in alkaline MEA as the research focus, revealing that confining in situ generated OH− at the cathode and enhancing the transport of bulk OH− to the anode are the key factors in improving device performance. On the basis of the aforementioned transport mechanism of OH− within the MEA, leveraging the strong Lewis acid–base interaction between highly electrophilic Si atom and OH−, the present study proposes a SiO2-confined electrocatalyst strategy. We developed cathodic Cu/SiO2 and anodic Co/SiO2 electrocatalysts that effectively maintain high local alkalinity at both electrodes under high current densities, thereby simultaneously enhancing the performance of cathodic CO reduction and anodic OER. This achievement enables the CO electrolysis in alkaline MEA to attain 80% selectivity and 30% EE for C2+ products at an industrial current density of 900 mA cm−2. The strategy of using Lewis acid–confined electrocatalysts to effectively maintain high local alkalinity at both electrodes not only represents an effective material strategy for enhancing the performance of CO electrolysis but also provides universal scientific guidance for proton-coupled electron transfer processes such as water electrolysis, electrochemical ammonia synthesis, carbon-based small molecule electrolysis, and fuel cells.
MATERIALS AND METHODS
Chemicals
All chemicals were used without further purification. Milli-Q ultrapure water (>18 megohm cm) was used in all experiments. Tetraethyl orthosilicate (TEOS; 28.4 wt %), isopropanol (99.7 wt %), NH3·H2O (25 to 28 wt %), NH4Cl (99.5 wt %), Cu(CH3COO)2·H2O (99.5 wt %), and Co(CH3COO)2·4H2O (98 wt %) were purchased from Sinopharm Chemical Reagent. Cu nanoparticles (10 to 30 nm and 99.9 wt %) and Co nanoparticles (30 nm and 99.9 wt %) were purchased from Macklin. IrO2 (85 wt % Ir content) was purchased from Shaanxi Kaida Chemical Engineering. Anhydrous ethanol and dimethyl sulfoxide (DMSO; 99.9%) were obtained from Shanghai Hushi Experimental Equipment. Deuteroxide (D2O; 99.99%) was supplied by Damas-beta Reagent.
Material synthesis
SiO2 spheres were prepared by the following method. A total of 0.6 ml of TEOS, 64 ml of isopropanol, 23.5 ml of deionized (DI) water, and 13 ml NH3·H2O was injected into a beaker with pipette and then magnetically stirred at 35°C for 1 hour. A total of 5 ml of TEOS was added dropwise into the above solution. After 2 hours of stirring, the product was collected by centrifugation and washed with DI water until the pH of solution is 7. After drying at 60°C for 24 hours, SiO2 spheres were obtained.
Cu silicate and Co silicate were prepared by a hydrothermal method using the resulted SiO2 spheres as the template. For Cu silicate, 120 mg of SiO2 was first dispersed in 60 ml of DI water through ultrasonication, and then 12 mmol of NH4Cl, 1.2 mmol of Cu(CH3COO)2, and 1.2 ml of NH3·H2O were added to the above mixture under stirring. The mixture was transferred into a Teflon-lined autoclave and maintained at 140°C for 10 hours. After the autoclave was cooled down to room temperature naturally, the product was collected by centrifugation and washed with DI water and ethanol. After drying at 60°C for 24 hours, Cu silicate was obtained. For Co silicate, 60 mg of SiO2, 24 mmol of NH4Cl, 0.6 mmol of Co(CH3COO)2, and 0.4 ml of NH3·H2O were used. The hydrothermal process was maintained at 100°C for 20 hours.
Cu/SiO2 and Co/SiO2 were prepared by thermal reduction of the resulted Cu silicate and Co silicate in 5% H2 and 95% Ar atmosphere at 800°C for 6 hours.
Material characterizations
The XRD was carried out using a Rigaku MiniFlex 600 x-ray diffractometer with a Cu Kα source at a wavelength of 0.154 nm. The SEM images were obtained by field emission SEM (Zeiss, GeminiSEM 500). The TEM images and elemental mappings were obtained by TEM (JEOL, JEM-F200) equipped with an energy-dispersive x-ray spectroscopy (JED-2300T). XPS measurements were performed using a Thermo Fisher Scientific ESCALAB Xi+ spectrometer system with monochromatic Al Kα radiation. All of the binding energies were calibrated by the C 1s peak at 284.8 eV. The x-ray absorption spectroscopy spectra of Cu K-edge were measured at the TLS-07A beamline of National Synchrotron Radiation Research Center (NSRRC). Cu foil, Cu2O, and CuO were used as reference materials. NH3 TPD was conducted by an iChem 700 instrument equipped with an online iMS 770 mass spectrometers (NH3 TPD-MS) using 1% NH3 and 99% He. The metal content of the samples was determined by ICP-AES (Agilent, 5110).
Electrode preparation
To prepare the electrode for cathodic CORR, 5 mg of Cu/SiO2 and 2 mg of carbon black (VXC-72R) were dispersed in 1 ml of mixed solution containing ethanol and ionomer solution. The ink was drop coated on the gas diffusion layer (YLS-30T) to fabricate the gas diffusion electrode (GDE) with catalyst loading of 2.5 mg cm−2. Nafion 117 solution (~5 wt % in a mixture of lower aliphatic alcohols and water; Sigma-Aldrich) and the QAPPT solution (5 wt %; Alkymer) were used for CEI and AEI, respectively. The ionomer content in the catalyst layer was 10 wt %. For Cu GDE, to get the same Cu metal loading, 2 mg of Cu was used to prepare the ink, and the catalyst loading was 1.0 mg cm−2. The ionomer content in the catalyst layer was 5, 10, or 20 wt %.
To prepare the electrode for anodic OER, 4 mg of Co/SiO2 or 4 mg of IrO2 was dispersed in 1 ml of mixed solution containing ethanol and ionomer solution. The ink was drop coated on the Ni foam (for alkaline solution) or Ti felt (for neutral solution) to get the catalyst loading of 2.0 mg cm−2. Nafion 117 solution and QAPPT solution were used for CEI and AEI, respectively. The ionomer content in the catalyst layer was 10 wt %. For Co electrode, to get the same Co metal loading, 1.8 mg of Co was used to prepare the ink, and the catalyst loading was 0.9 mg cm−2.
Pb UPD-stripping test
Pb UPD-stripping test was conducted in batch cell with Ag/AgCl reference electrode and graphite rod counter electrode at 25°C. Pb UPD was performed at −0.4 V versus reversible hydrogen electrode (RHE) for 10 min in a mixed solution of 0.15 M HClO4 and 0.002 M Pb(ClO4)2, and then Pb stripping curve was recorded from −0.4 to 0.2 V versus RHE at 10 mV s−1. Background curve was recorded without adding Pb(ClO4)2 to the solution. The ECSA was determined on the basis of the monolayer of Pb coverage on Cu and 2e− Pb oxidation with a conversion factor of 310 μC cm−2 (4).
OH− adsorption test
OH− adsorption test was conducted in flow cell with Hg/HgO reference electrode and IrO2/Ni foam counter electrode at 25°C. LSV curve was recorded in 1 M KOH catholyte from open circuit potential (OCP) to 0.55 V versus RHE at 5 mV s−1. For in situ OH− adsorption test, LSV curve was recorded in 1 M KCl catholyte from OCP to 0.85 V versus RHE at 5 mV s−1, using Ag/AgCl as reference electrode.
K+ adsorption test
K+ adsorption test was conducted in batch cell with Hg/HgO reference electrode and graphite rod counter electrode at 25°C. K+ adsorption was performed at −1.2 V versus RHE for 60 s in 1 M KOH, and then the electrode was transferred into pure water with potential applied. Adsorbed K+ was released into pure water after removing the applied potential. This process was repeated three times before the K+ content was determined by ICP-AES.
CO adsorption–stripping test
CO adsorption–stripping test was conducted in batch cell with Ag/AgCl reference electrode and graphite rod counter electrode at 25°C. Background curve for Cu oxidation was recorded in 0.1 M HClO4 under N2 atmosphere from 0 to 1.5 V versus RHE at 50 mV s−1. CO adsorption was performed at 0.1 V versus RHE for 10 min under CO atmosphere. The excess CO gas was removed by purging N2 gas for 20 min. CO stripping curve was then recorded from 0 to 1.5 V versus RHE at 50 mV s−1.
In situ Raman test
In situ Raman spectroscopy was performed using a custom-made electrochemical operando cell with a Renishaw Qontor spectrometer at room temperature. A 633-nm laser beam and a ×50 objective lens were used for spectral acquisition. A gold electrode loaded with catalyst was used as working electrode. Hg/HgO and Pt wire were used as reference and counter electrodes, respectively. CO- or O2-saturated 1 M KOH solution was used as electrolyte. Raman spectra were collected at different applied potentials, with an exposure time of 30 s per measurement.
CORR in flow cell
CORR in flow cell was conducted in a three-electrode configuration using the fabricated GDE as working electrode, Hg/HgO (for alkaline KOH solution) or Hg/Hg2SO4 (for neutral K2SO4 solution) as reference electrode, and the fabricated catalyst-loaded Ni foam or Ti felt as counter electrode at 25°C. The active area of the working electrode was 2 cm2. The cathode and anode compartments were separated by AEM (FAB-PK-130). A total of 95% CO and 5% N2 (as internal standard) gas was flowed into the cathode compartment at 10 ml min−1 by a gas flow meter. The catholyte and anolyte consisted of 1 M KOH or 0.5 M K2SO4 and were circulated at a flow rate of 5 ml min−1 using a peristaltic pump.
CORR in MEA
CORR in MEA was conducted using the fabricated GDE as cathode and catalyst-loaded Ni foam or Ti felt as anode at 25°C. The active area of both electrodes was 1 cm2. Cathode and anode were separated by AEM (QAPPT, 25-μm thickness; Alkymer). The thickness ratio between the cathode/anode electrodes and the gasket was set to about 1:0.8. A total of 95% CO and 5% N2 (as internal standard) gas was supplied to cathode at a flow rate of 5 ml min−1. A total of 1 M KOH or 0.5 M K2SO4 was fed to anode at a flow rate of 5 ml min−1. EIS was performed using a Solartron analytical 1470E system over a frequency range of 100 kHz to 0.1 Hz with 5-mV amplitude.
Determination of products
The gaseous products were analyzed by on-line gas chromatography (Shimadzu, GC-2014) equipped with thermal conductivity detector and flame ionization detector. A total of 5% N2 was used as the internal standard to quantify the gaseous products. The liquid products were quantified by 1H nuclear magnetic resonance on Bruker AVANCE III HD (400 MHz). DMSO was used as the internal standard. To prepare the sample solution, 10 μl of 140 mM DMSO solution and 57 μl of D2O were added to 500 μl of the collected anolyte solution. The mixed solution was then analyzed using a water suppression method.
The FE (%) of the product was calculated as
where (in coulombs) and (in coulombs) represented the charge consumption for the target product and the total reaction, n was the number of electrons transferred for product formation, N (in moles) was the mole of the target product, F was the Faradaic constant (96485 C mol−1), I (in amperes) was the reaction current, and t (in seconds) was the reaction time.
The EE (%) of the product was calculated as
where was the theoretical cell voltage for product formation according to thermodynamic data, and was the applied cell voltage.
The TOF (per hour) of the product was calculated as
where N (in moles) was the mole of the target product, t (in seconds) was the reaction time, mCu (in grams) was the Cu loading in the electrode, and MCu was the molar mass of Cu (63.55 g mol−1).
The SPCE (%) of the product was calculated as
where (in moles) was the mole of the converted CO according to the mole of the target product and (in moles) was the mole of the input CO according to the gas flow rate (5 ml/min and 95% CO).
OER activity measurements
OER activity measurements were conducted in a batch cell with O2-saturated 1 M KOH at 25°C. The fabricated catalyst-loaded Ni foam was used as working electrode. A homemade RHE and a graphite rod were used as reference and counter electrodes, respectively. LSV curve was recorded from OCP to 1.8 V versus RHE at 5 mV s−1. EIS was performed over a frequency range of 100 kHz to 0.1 Hz with 5-mV amplitude. The presented LSV curves were corrected by 85% current × resistance (IR) compensation according to the EIS results. MOR activity measurements were conducted in a batch cell at 25°C. A mixed solution containing 1 M KOH and 1 M methanol was used as the electrolyte, which was saturated with N2 before measurements. The fabricated catalyst-loaded Ni foam was used as working electrode. A homemade RHE and a graphite rod were used as reference and counter electrodes, respectively. LSV curve was recorded from OCP to 1.8 V versus RHE at 5 mV s−1. EIS was performed over a frequency range of 100 kHz to 0.1 Hz with 5-mV amplitude. The presented LSV curves were corrected by 85% IR compensation according to the EIS results.
DFT calculations
DFT calculations were performed using generalized gradient approximation Perdew-Burke-Ernzerhof functional (30) and projector-augmented wave method (31) as implemented in Vienna ab initio simulation package (32). The first-order Methfessel-Paxton electron smearing scheme (sigma = 0.2 eV) was used for modeling the face-centered cubic metallic copper (Cu) and cobalt (Co). Grimme’s dispersion (D3) correction (33) was included for all calculations. Plane-wave kinetic energy cutoff of 400 eV was applied for the spin polarization calculations with the energy and force convergence criteria of 10−4 eV and 0.03 eV/Å, respectively. The typical (111) surface was modeled by a four-layered p(4 × 4) slab containing 64 atoms, in which the top two layers were allowed to relax and the bottom two layers were kept fixed. A thick vacuum of ~15 Å was added to the vertical direction for screening the lateral interaction. A 3 × 3 × 1 Monkhorst-Pack k-point was applied for the slab modeling. The atomic cluster of Si6O13 was built on the Cu (111) surface referring to the medium coverage of SiOx/Cu. The initial configuration was equilibrated for 20 ps (stepsize = 1 fs) by on-the-fly MLFF AIMD simulation at 1000 K (fig. S9), which was fully relaxed by standard atomic relaxation. The *OH adsorption, C-C coupling of 2*CO, and OER were modeling based on the clean and SiOx-supported Cu and Co surfaces, respectively. The transition states were located by combing climbing-image nudge elastic band and quasi-Newton minimization methods. Frequency calculations were based on the second-order derivatives of high-accuracy (10−6 eV) total energy with respect to ionic positions (POTIM = 0.02 Å). Gibbs free energy corrections were obtained by VASPKIT program (34).
Acknowledgments
We thank L. Xiao with Wuhan University for the discussion.
Funding:
This work was supported by the National Key R&D Program of China (grant no. 2023YFA1508001 to W.X. and grant no. 2023YFA1508002 to L.Z.), the National Natural Science Foundation of China (grant no. 92045302 to L.Z., grant no. 22272120 to W.X., and grant no. U2202251 to W.X.), the Hainan Province Science and Technology Special Fund (grant no. ZDYF2023SHFZ120 to W.X.), and the Fundamental Research Funds for the Central Universities (grant no. 2042025gf0001 to W.X.).
Author contributions:
Examples: S.J., G.W., and Z.L. Conceptualization: L.Z. and W.X. Methodology: S.J., G.W., and Z.L. Investigation: S.J., G.W., and Z.L. Visualization: S.J. and W.X. Supervision: L.Z. and W.X. Writing—original draft: S.J. and W.X. Writing—review and editing: L.Z. and W.X.
Competing interests:
The authors declare that they have no competing interests.
Data and materials availability:
Data for the figures in the paper and the Supplementary Materials are available as source data with this paper via the dataset of Dryad: https://doi.org/10.5061/dryad.rv15dv4mp. All other data needed to evaluate the conclusions in the paper are present in the paper and/or the Supplementary Materials.
Supplementary Materials
This PDF file includes:
Figs. S1 to S29
Table S1
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Figs. S1 to S29
Table S1
Data Availability Statement
Data for the figures in the paper and the Supplementary Materials are available as source data with this paper via the dataset of Dryad: https://doi.org/10.5061/dryad.rv15dv4mp. All other data needed to evaluate the conclusions in the paper are present in the paper and/or the Supplementary Materials.





