Abstract
Cu oxides catalyze the electrochemical carbon dioxide reduction reaction (CO2RR) to hydrocarbons and oxygenates with favorable selectivity. Among them, the shape-controlled Cu oxide cubes have been most widely studied. In contrast, we report on novel 2-dimensional (2D) Cu(II) oxide nanosheet (CuO NS) catalysts with high C2+ products, selectivities (> 400 mA cm−2) in gas diffusion electrodes (GDE) at industrially relevant currents and neutral pH. Under applied bias, the (001)-orientated CuO NS slowly evolve into highly branched, metallic Cu0 dendrites that appear as a general dominant morphology under electrolyte flow conditions, as attested by operando X-ray absorption spectroscopy and in situ electrochemical transmission electron microscopy (TEM). Millisecond-resolved differential electrochemical mass spectrometry (DEMS) track a previously unavailable set of product onset potentials. While the close mechanistic relation between CO and C2H4 was thereby confirmed, the DEMS data help uncover an unexpected mechanistic link between CH4 and ethanol. We demonstrate evidence that adsorbed methyl species, *CH3, serve as common intermediates of both CH3H and CH3CH2OH and possibly of other CH3-R products via a previously overlooked pathway at (110) steps adjacent to (100) terraces at larger overpotentials. Our mechanistic conclusions challenge and refine our current mechanistic understanding of the CO2 electrolysis on Cu catalysts.
Subject terms: Catalytic mechanisms, Electrocatalysis, Carbon capture and storage, Energy storage
Copper oxides (CuO) can selectively catalyze the electrochemical reduction of CO2 to hydrocarbons and oxygenates. Here, the authors study the activity and morphological evolution of 2D CuO nanosheets under applied electrode potentials to conclude the primacy of dendritic shapes and involvement of a new coupling pathway.
Introduction
Valorizing atmospheric CO2 into C2+ products by electrochemical method holds the promise to store renewable surplus electricity while closing the global carbon cycle1–3. Efficient CO2 electrolysis requires advanced electrocatalyst designs4–10, an understanding of competing reaction pathways11,12, and a reliable device performance at industrial conditions13–16. Among a wide variety of catalysts tested for electrochemical CO2 reduction reaction (CO2RR), copper-based materials, in particular Cu oxides, CuOx, have been enjoying attention thanks to their wide chemical selectivity for a variety of multi-carbon products, such as C2+ hydrocarbons and oxygenates. It has been reported that over 16 kinds17 of products can be formed on copper catalysts through multiple proton-coupled electron transfer processes.
The cathodic electrode potentials during the catalytic CO2RR invariably drive the chemical transformation of operating CuOx catalysts into metallic Cu phases. This prompted their designation as oxide-derived copper (OD-Cu) catalysts. As a consequence of the chemical reduction metallic Cu0, complex time trajectories of catalyst morphology, chemical state, and catalytic selectivity ensues. A full molecular correlation and understanding of these concomitant trajectories has remained elusive. It has been suggested that the increased local pH value18–20 of OD-Cu, in direct proportion to the surface roughness, plays an important role for favorable ethylene selectivity compared to methane21. Other works highlighted the distinct chemisorption of CO intermediates22–24. Yet other reports related the catalytic performance to grain boundaries25, to undercoordinated sites26, to the presence of subsurface oxygen27,28 or to residual near-surface Cu+29. Also, in most studies, the end point of the morphological evolution of designer OD-Cu catalysts has remained in the dark.
Shape-selected cubic Cu2O catalysts—largely obtained through potential cycling in presence of surface-active electrolyte additives—have been receiving particular attention as active and selective CO2RR electrocatalysts30,31. Thanks to the structure sensitivity of the C-C bond formation on square atomic Cu0 surface lattices and the cubic nature of the Cu2O crystal system, the resulting preferential Cu(100) facets offer kinetic faradaic efficiency and onset potential benefits for the formation of C2+ products, in particular C2H432.
To follow the evolution in chemical state and morphology of electrocatalysts under stationary electrode potential conditions, operando X-ray-based33 as well as in situ vibrational spectroscopies31,34–36, and in situ electrochemical transmission electron microscopy (TEM)37–39 were used to record changes in catalyst chemical state40,41, local structure13, or intermediates42. However, to date, real-time tracking individual CO2RR product yields and product onset potentials on OD-Cu catalysts at fast time scales under non-stationary, transient conditions has remained very challenging. This operational mode, however, is very relevant for practical CO2RR electrolyzers powered by intermittent input electricity from renewable sources.
Even though Cu-based CO2RR electrocatalysts have shown excellent C2H4 efficiencies in highly alkaline pH 13–15 conditions13,43, practical CO2RR electrocatalysis must operate at neutral pH ~ 7 conditions and perform at industrially relevant current densities > 200 mA cm−213,14. To achieve this, the catalysts must be cast in gas diffusion electrodes (GDEs) that are deployed in single zero- and non-zero gap flow electrolyzer cells. While a few recent studies have reported the use of free-standing cubic Cu2O nanocubes44–46 inside GDE designs, the majority of OD-Cu based GDE studies relied on top-down approaches involving modified bulk Cu43. Compared to bulk Cu-based catalysts, nanostructured free-standing catalysts are more desirable as they exhibit higher surface-to-volume ratio and are more amenable to assembly in large-scale GDEs.
In this contribution, we report on a new family of free-standing 2-dimensional Cu(II) oxide electrocatalysts for the CO2RR under neutral pH conditions. Owing to their 2D nature, Cu(II)O nanosheets (referred to as “2D CuO NS”) feature a highly preferred (001) facet orientation. We report a facile one-step synthesis of 2D CuO NS and then track their unique catalytic reactivity and concomitant morphological evolution under applied electrode potentials using in situ electrochemical liquid TEM and operando X-ray absorption spectroscopy (XAS). Next, using a new differential electrochemical mass spectrometry (DEMS) technique with millisecond resolution, we discuss previously unreported time evolutions of kinetic onset potentials of a range of different products over the course of hours. Conclusions from our DEMS data challenge and refine our current mechanistic understanding of the mechanistic link between CH4 and ethanol (EtOH). Finally, we document the favorable CO2RR performance of 2D CuO NS inside GDEs of commercial electrolyzers under industrially relevant neutral pH conditions. Owing to their emerging stable dendritic structure, their high catalytic reactivity, and the resulting performance stability, oriented 2D CuO NS precursor catalysts constitute an interesting alternative to conventional cubic Cu2O catalysts for the electrochemical conversion of CO2 into C2H4.
Results
Synthesis and characterization of 2-dimensional CuO nanosheets
Free-standing CuO nanosheet catalysts (CuO NS) were prepared by solvothermal formation and processing of Cu(OH)2 intermediates in alkaline condition (Supplementary Fig. S2). The wrinkled thin Cu(OH)2 layers showed high aspect ratios prior to decomposing into CuO and H2O. Figure 1a,b presents scanning electron microscopy (SEM) image and transmission electron microscopy (TEM) image of as-prepared CuO NS. The 2D character of the material was retained during the thermal decomposition of Cu(OH)2, while larger sheets split into small ones. The final rectangular CuO NS exhibited serrated edges on the short edges. Supplementary Fig. S3a indicates a stacked structure of individual free-standing CuO NS of 3−4 nm thickness. High-resolution transmission electron microscopy (HR-TEM) (Fig. 1c) of CuO NS revealed well-defined lattice fringes with an interplanar spacing of 2.8 Å, corresponding to {110} planes of monoclinic CuO. Selected area electron diffraction (SAED) images (Fig. 1d) showed rhombic diffraction spots along the [001] zone axis. This can be seen by indexed (020), (-110), (-200), (-1-10), (0-20) and (1-1;0) planes, indicating that the CuO NS had {001} exposed surfaces. The relative intensity of the diffraction spots is presented in Supplementary Fig. S3b. The crystal structure is provided in Supplementary Fig. S4 with indexed (001), (110) and (11-1) planes.
A 2D grazing-incidence wide-angle X-ray scattering (GI-WAXS) pattern of CuO NS on glassy carbon electrode is shown in Fig. 1e. The pattern is commensurate with a crystalline CuO phase. Minor contributions of a residual Cu2O phase are seen at low angles, yet all higher order reflections were absent evidencing their trace character. Importantly, the (002) and (11-1) reflections of CuO exhibited a stronger intensity in the meridional direction, evidencing that the CuO NS are stacked along the <00 l> direction, supporting the HR-TEM results. A partial contour plot and integrated CuO NS line profiles are shown in Supplementary Fig. S5, indicating the coexistence of Cu2O traces and major CuO phase.
CO2RR reactivity, stability, and ex situ morphology in H-cells
The catalytic CO2RR activity of the CuO NS in pH neutral conditions and without any further pretreatment was recorded for up to 60 h. Product yields as function of iR-corrected electrode potential (ERHE) after 1 h electrolysis are plotted in Fig. 2a. C2H4 started to evolve at significantly more anodic electrode potentials compared to CH4, which offered a roughly 300 mV-wide potential window of exclusive C2H4 production (their detailed time-resolved onset potentials see DEMS section below). CH4 formation showed a rapid growth beyond −0.9 VRHE and exceeded C2H4 production at −0.97 VRHE. The observed partial current densities under the chosen conditions (Fig. 2b) are testament to previously unachieved hydrocarbons selectivities under pH neutral conditions. The partial current density of C2H4 reached 6.2 mA cm−2 at −0.97 VRHE, while CO remained at very low levels during the entire given overpotential range. The Faradaic efficiencies (FEs) within the potential window of exclusive C2H4 production and beyond are compared in Supplementary Fig. S6. The suppression of the HER and concomitant increase in C2H4 are noteworthy for H-cell studies.
Longer-term 20 h and 60 h electrolysis was carried out to track the CuO NS selectivity and stability at selected potentials (Fig. 2c−e). CuO NS catalysts maintained a stable absolute C2H4 production rate during the 60 h electrolysis, even past replacements of the electrolyte (Fig. 2d, e). By contrast, the CH4 production decreased and dropped to very low values after 25 h, making CuO NS voltage efficient (low overpotentials), C2H4-selective and very performance-stable electrocatalysts.
The initial catalyst activation period over the first few hundred minutes merits a closer time resolution of the reactivity coupled to a correlation to the sheet morphology (Supplementary Figs. S7−S10). The time trajectories of CO, CH4, and C2H4 production (Supplementary Fig. S7) exhibited similar patterns over the first 2−3 h of CuO NS catalyst activation. The hydrocarbon production rate peaked earlier with increasing applied overpotential. Consistent with data from Fig. 2a, exclusive and sustained catalytic C2H4 production was detected at −0.84 VRHE at 1.6 nmol cm−2 s−1, exceeding previous reports47. Near −1.0 VRHE, hydrocarbon production peaked already after 2 h, followed by a steady drop in CH4 generation (cf. Fig. 2d).
Morphological changes of CuO NS (Supplementary Fig. S8) after the first hour electrolysis near −1.0 VRHE involved rounding of the nanosheet with agglomerations. After prolonged electrolysis at −0.76 VRHE and −0.84 VRHE (Supplementary Figs. S9, S10), the rounding led to a sheet fragmentation of the initial CuO NS appeared to be more obvious. Finally, after a 60-h electrolysis at −1.0 VRHE, the sheet fragments re-assembled into larger agglomerates with rough surfaces (Supplementary Fig. S11). In a comparative study of the evolution of the catalyst morphology as a function of electrode potential under identical conditions, the CuO NS catalyst was drop cast on a rough carbon fiber paper rather than on smooth glassy carbon. Thanks to better dispersed NS, the catalytic current density increased (Supplementary Fig. S12). Now, ex situ SEM studies after 1 h reaction (Supplementary Fig. S13) evidenced that rough supports slowed down the morphological transformations of the CuO NS. Unlike shown in Supplementary Fig. S8, part of the sheet morphology appears still intact (Supplementary Fig. S13c, Area 3), with individual sheets on the fiber cracked (Supplementary Fig. S13b, Area 1) and fractured into small clusters (Supplementary Fig. S13b, Area 2).
Real-time morphology using in situ electrochemical TEM—from sheets to dendrites
The ex situ microscopic studies revealed rapid (< 1 h) fragmentation of CuO NS during CO2RR associated with rapid kinetic activation and monotonically rising product selectivity (Supplementary Figs. S7, S8 and S13). Of particular interest was the applied bias of −0.84 VRHE, where hydrocarbon generation was limited exclusively to C2H4. To learn more about the NS catalyst morphology that enabled exclusive C2H4-selectivity, we followed the transformations of the CuO NS at that same bias using in situ electrochemical liquid TEM experiments. These studies were carried out in a Protochips Poseidon holder that hosted a flow-through electrochemical chip cell (“in situ TEM E-chip cell”, Supplementary Fig. S14b) equipped with parallel beam-transparent silicon nitride windows. The top view of the in situ TEM E-chip cell is illustrated in Supplementary Fig. S14a. To exclude beam damage and liquid layer effects, all in situ TEM E-chip cell experiments were cross-checked using identical location (IL) TEM E-chip cells, in which the E-chip cell was operated outside the microscope under otherwise identical conditions (Supplementary Fig. S14c), yet imaged in the dry state. The in situ studies cover the first few minutes of the catalyst activation where the most dramatic rise in catalytic activity occurred (Supplementary Fig. S7).
First, Supplementary Movie 1 tracks the initial morphological evolution of the CuO NS under open circuit potential (OCP) and pH-neutral aqueous conditions. Three selected times (Supplementary Fig. S15) and their TEM snapshots are shown in Fig. 3a–c. CuO NS of several 100 s of nm in size fracture into smaller sheet fragments, however without immediate disintegration. Over the 110 s imaging time, some of the fragmented sheets slowly drifted out of view into the liquid layer.
To check the influence of beam and liquid layer effects, we conducted a prolonged 40 min OCP experiment in the IL TEM E-chip cell. In agreement with the in situ results, the CuO NS with 100 s of nanometer size fractured into fragments of few nanometer size (Supplementary Fig. S16b, c) without disintegration.
Next, we used the in situ TEM E-chip cell to conducted real-time imaging of the CuO NS in the pH = 6.9 buffer solution, still maintaining OCP. Supplementary Movies 2 and 3 captured the structural transformations over the next ~ 400 s: Supplementary Movie 2 documents the continued fragmentation of the CuO NS in real time at OCP over 200 s. Clouds of dark spherical Cu fragments are distributed non-uniformly across the field of view, while floating and drifting in and out of focus. Over the next 198 s, Supplementary Movie 3 captures the dynamics of the fragmented CuO NS catalyst. We believe that these sheet fragments served as building blocks for later re-agglomeration. Next, we investigated the effect of applied electrode bias of −0.84 VRHE on the subsequent morphological evolution of the fragmented Cu catalyst. After 10 s OCP (Supplementary Fig. S17a), a linear sweep voltammetry (LSV) step lowered the electrode potential from +0.42 VRHE to −0.84 VRHE, where chronoamperometric (CA) control kept it for another 170 s. Figure3d shows the experimental current/potential profiles recorded inside the in situ TEM E-chip cell. Supplementary Movie 4, from which 4 TEM snapshots at times t1- t4 (Fig. 3e–h) were taken, evidenced that Cu fragments now start to agglomerate (red circles in Fig. 3e–h), while others vanish (cyan circles). Finally, after another 8 min (Supplementary Movie 5) and yet another 16 min (Supplementary Movie 6) under negative bias, the gradual agglomeration of Cu sheet fragments into initially spherical, then into branched dendritic structures set in, evidenced at time point 65 s and 127 s of Supplementary Movie 5 and 6, respectively. The corresponding in situ TEM snapshot sequence is shown in Fig. 3i–l. Supplementary Movie 5 demonstrates a spherical deposition and growth of sheet fragments from the liquid layer onto Cu nuclei attached to the electrode in the lower portion of the field of view. Supplemental Movie 6 tracked the deposition of Cu sheet fragments onto pre-formed highly branched Cu dendrites with previously unachieved clarity and details. Again, verification of the in situ TEM results ensued using our IL TEM E-chip cell. Supplementary Fig. S20 contrasts oriented 2D CuO NS morphologies with the final Cu dendrite morphology after 1600 s at −0.8 VRHE validating the real time studies. We conclude that facet-orientated CuO NS rapidly transform into nanoscale reactive sheet fragments that slowly re-assemble into stable large agglomerations and tree-like Cu dendrites at rates depending on applied potential/reaction time. Dendritic structures are known to emerge in diffusion-limited growth regimes48,49, typically present under convective flow conditions of electrochemical flow cells. We therefore hypothesize dendritic structures—characterized by their unique tree-like arborization with self-similar branch structure across several length scales—constitute the kinetically preferred morphological end point of our Cu catalysts in flow conditions;50 a hypothesis that will be corroborated further below in our electrolyzer flow cell studies below.
Tracking the chemical state and local coordination of CuO NS using operando XAS
To examine the changes in the chemical state and local coordination environment of the CuO NS concomitant to the morphological evolution, operando XAS experiments were conducted (Fig. 4).
Visual inspection of X-ray absorption near edge spectra (XANES) of reference materials and CuO NS catalyst under OCP conditions (Supplementary Fig. S22) corroborated earlier findings as to the Cu(II) state of the CuO NS catalyst. Extended X-ray absorption fine structure (EXAFS) simulations proved that the CuO reference and the CuO NS catalyst shared the same atomic structure (Supplementary Fig. S23 and Supplementary Table S1). There were no significant contributions from Cu(OH)2 and Cu2O in the CuO NS film detected, which is owed to the volume sensitivity of XAS. Hence, the catalyst structure at rest conditions was indeed a highly oriented CuO sheet.
After voltammetric scanning to −0.84 VRHE, the complete chemical reduction to metallic Cu0 was observed after 130 min during CO2RR. Interestingly, the reduction from cupric oxide, CuO, to Cu0 occurred directly, i.e. without detectable formation of Cu2O intermediates (Fig. 4a). Linear combination fittings revealed that after the voltammetry, 35% of the bulk volume was already Cu0 (Fig. 4b, c). At the end of the chronoamperometry, metallic Cu accounted for 99%, with the remaining 1% within the uncertainty of the data quality. Possible effects of residual traces of subsurface oxygen or higher valent Cu species can neither be excluded nor confirmed33, yet appear unlikely in absence of stabilizing agents such as halogenides. The gradual change from CuO to Cu0 is also indicated by the intensity decrease of the Cu-O bond (1.94 Å) and the intensity increase of the Cu-Cu (2.53 Å) bond (Fig. 4d, e). Coordination numbers (CN) of Cu-O decreased with the reduction process, while CN of Cu-Cu increased, and stabilized at 10 after 120 min (Supplementary Fig. S25). There is neither variation in the Cu-O bond length (first coordination sphere), nor in that of Cu-Cu. The obtained CN of Cu0 is smaller than bulk fcc Cu0, indicating bulk and/or surface lattice defects associated with undercoordinated Cu atoms. This is in agreement with the in situ TEM results that suggested the formation of nano-sized Cu sheet fragments. Undercoordinated Cu sites formed during the CuO NS fragmentation and visualized in Fig. 3, typically exhibit strong chemisorption that has been associated with outstanding C-C coupling23,25.
Mechanistic implications from DEMS-based catalytic rates and product onset potentials
A differential electrochemical mass spectrometry (DEMS) set-up equipped with an electrochemical capillary cell12 with milli-second time resolution enabled tracking kinetic product formation rates and yields under transient catalytic CO2RR. Thanks to its time resolution, the DEMS technique accurately captured the electrode potentials where product generation sets in (so-called onset potentials). Onset potentials are important mechanistic information that can be associated to DFT-computational mechanistic predictions. Reliable onset potential evolutions of a variety of CO2RR products have not been reported before.
We performed a continuous 9-h DEMS measurement while cycling the potential between −0.2 VRHE and −1.0 VRHE. The anodic turning potential was set deliberately as to prevent Cu from re-oxidation during the cycling. Each cycle took about 320 s. Figure 5a compares the transient mass ion currents of CH4, C2H4 and ethanol (EtOH) at m/z = 15, 26, and 31, respectively, as function of cycle number and time. C2H4 and EtOH production rates doubled during the first hour, peaked at the 10th cycle (45 min), while CH4 production showed continues increase.
The integrated mass ion charges of CO, CH4, C2H4 and EtOH represent the product yields over cycle and time (Fig. 5b) and were correlated with the chemical state of the Cu catalyst. Parallel to the emerging defective metallic Cu0 catalyst, CH4, C2H4 and EtOH showed increasing rates and yields over the first 10 cylces (~45 min). Thereafter, C2H4 remained partly stable, while CH4 and EtOH showed opposite trends. This was in contrast to CO, the yield of which showed a complex response to the C1 and C2 pathways. The electrode onset potentials of these four key reaction products over 100 potential cycles are displayed in the spider/radar plot of Fig. 5c. This diagram represents—to our knowledge—the first such time-resolved evaluation of the evolution of product onset potentials. This experiment offers novel and noteworthy mechanistic implications and hypotheses. The vanishing oxidic character of CuO NS (Fig. 4c) coupled to sheet fragmentation and re-aggregation during the first hour (~10th cycle) shifted the onset potentials of both C2H4 (green) and CO (red) from −0.57 ± 0.07 VRHE and −0.38 ± 0.08 VRHE to −0.63 ± 0.09 VRHE and −0.48 ± 0.05VRHE, and after 9 h (100th cycle) further to −0.77 ± 0.02 VRHE and −0.48 ± 0.03 VRHE, respectively. Experimental onset potentials of Fig. 5c can be associated with the theoretical concept of limiting electrode potentials51,52 of the CO and C2H4 pathways, that is, the required minimal overpotentials before the last elementary kinetic step turns energetically downhill and the reaction proceeds51. The onset potentials of C2H4 and CO shifted concertedly, yet stayed apart by 150−250 mV. We attribute the shift to a decline in the number of active Cu surface sites. The varying offset represents the electrical energy (limiting overpotential) needed to kick-start the dimerization of *CO toward C2H453 and corroborates their well-known mechanistic link.
More important are the mechanistic implications of the similar constant onset potentials of CH4 and EtOH (−0.8 VRHE to −0.9 VRHE over 9 h). There appears to exist a common elementary step that controls the onset potentials of both CH4 and EtOH. Against conventional mechanistic wisdom53,54, this suggests a much closer mechanistic link between CH4 and EtOH than previously thought52,53. We have previously observed an opposite correlation in CH4 and EtOH faradaic production55, by carrying out statistical analysis on the product formations on a series of Cu facets56. A careful observation was that, while the stepped Cu(210), i.e. (2(100)x(110)) surface is highly selective for CH4, Cu(n10), i.e., (n(100)x(110), n > 2) facets are highly EtOH selective57. Combining this analysis with the experimental observation here of onset potentials of CH4 and EtOH tracking each other—we put forward the new hypothesis that products with a common -CH3 group (CH3-H, CH3-COOH, CH3-CHO & CH3-CH2OH) could share a methyl intermediate. We speculate that 3 or more atom-wide (100) terraces at a (110) step enable the stabilization of an intermediate, that couple with *CH3 to EtOH. Figure 5e–g illustrate this new mechanistic concept. Reactive methyl *CH3 intermediates adsorbed at the (110) step while *CO preferably adsorbed on the (100) terraces. *CO dimerization on terraces forms C2H4 at lower overpotentials, while *CH3 require larger overpotential to become catalytically reactive at −0.8 VRHE. Given the terrace is wide enough, *CH3 combines with a carbonaceous adsorbate on Cu(100) to form EtOH. If the terrace becomes too small as on the (210) facet, it can no longer accommodate carbonaceous adsorbates. Now, *CH3 forms preferentially methane. This mechanism is directly confirmed by Cu single crystal FE data in Fig. 5d, however the concept of *CH3 as a common precursor for CH4 and EtOH has completely overlooked before, and hence is not incorporate in any of today’s mechanistic schemes. We note that this direct large-overpotential EtOH pathway is separate from the in-directly pathway, where acetaldehyde has been shown as a precursor for ethanol58–60, and we have discussed and shown that acetaldehyde can be reduced to EtOH55.
CO2RR electrolysis using gas diffusion electrodes
To assess the potential of CO2RR on CuO NS under industrial pH neutral conditions (1 M KHCO3), we deposited the catalyst onto gas diffusion electrodes (GDE) separating CO2 and liquid catholyte flows in single cell electrolyzer set ups (Fig. 6a). Constant current densities between 50 and 700 mA cm−2 were applied for 2 h.
Figure 6b shows the product FEs versus currents at neutral pH. The initial large H2 FE at 50 mA cm–2 is owed to relatively low electrode overpotentials at the metallic Cu0 sheet fragments. With increasing currents, the Cu catalyst developed its excellent CO2RR FE of 65% at 700 mA cm−2, with mere 13% H2. As the C2H4 FE reached 33% at neutral pH, the partial C2H4 current maxed at 229 mA cm−2 (Fig. 6c). Previously unachieved is the C2+ product partial current density of 410 mA cm−2 (Supplementary Fig. S26). The fact that CH4 formation is essentially suppressed at all currents (e.g., 0.58% at 700 mA cm−2) making C2H4 the sole gaseous hydrocarbon product, merits further attention. Stability tests at 300 mA cm−2 for 24 h (Fig. 6d) revealed only negligible FEC2H4 drops over 20 h. Consistent with in situ TEM data, agglomeration resulted in long-term dendritic morphologies (Supplementary Figs. S27 and S28). To put the excellent performance of CuO NS precursors and its morphological derivatives in perspective, Fig. 6e compares the C2H4 partial currents under comparable conditions. Our CuO NS meet and exceed today’s top performing Cu catalysts under neutral condition in electrolyzers.
Discussion
We have studied the synthesis and CO2 electrocatalysis of a (001)-oriented CuO nanosheet catalyst. Evaluated in electrolyzers under industrially relevant pH neutral conditions, the CuO NS catalysts featured unprecedented performance metrics for C2H4 and C2+. In situ and ex situ TEM studies revealed that over 10–20 min under potential control the CuO NS fractured and—presumably limited by diffusion of Cu species—aggregated into branched, dendritic Cu structures that represented the final stable catalyst morphology under flow conditions. Operando XAS studies confirmed the chemical reduction of CuO and concomitant formation of disordered and coordinatively under-saturated Cu0 over about 2 h under reductive CO2RR conditions. These undercoordinated sites are held responsible for the high catalytic CO2-to-C2+ product reaction rates. Time-resolved DEMS provided access to the evolution of product onset potentials. The concerted shift in onset potentials of CO and C2H4 evidenced their close mechanistic link. Those of CH4 and EtOH, by contrast, remained unaffected and were nearly identical. Counter to our current mechanistic understanding, this points to the existence of a common mechanistic intermediate, likely *CH3, feeding into competing pathways toward EtOH and CH4, confirming previously overlooked data trends on metallic stepped Cu(n10) single crystal facets. Based on this, Tetrahexahedrally shaped61,62 particles exposing stepped (310) facets are predicted be optimal nanocatalysts to support the EtOH-selective pathway.
Methods
Synthesis
Nanosized CuO catalyst with sheet-like morphology was synthesized by a surfactant-free wet-chemistry route. No purification was performed for chemicals before use. CuO nanosheets were obtained by thermal decomposition of pre-synthesized Cu(OH)2 intermediate. To prepare Cu(OH)2 intermediate, 100 mg Cu(SO4)2 was dissolved in 4 mL DI-water, 2.5 mL 1 M KOH solution was then added dropwise into the solution. After 15-min stirring, 1 mL ammonium hydroxide was added. The resulting homogeneous light blue solution was then transferred to a glass pressure vessel. The sealed vessel was then heated from room temperature to 80 °C in 30 min and stayed at 80 °C for 12 h before it was cooled to room temperature. The products were precipitated by ethanol, separated via centrifugation at 12,649.63 g and further purified twice by ethanol and water. Afterwards they were freeze dried and stored as powders under inert atmosphere until use.
Electron microscopy (TEM, HRTEM and SAED)
TEM and SAED were performed using a FEI Tecnai G2 Microscope 20 S-Twin with a LaB6-cathode at 200 kV accelerating voltage (ZELMI Centrum, Technical University Berlin). The samples were dispersed in ethanol, ultrasonicated and drop-dried onto Cu-grids with a holey carbon film. Analysis was done using software from ImageJ. The HR-TEM was conducted with FEI TITAN 80–300n with high brightness FEG (ZELMI Centrum, Technical University Berlin).
Electrochemical Measurements in H-cell
The electrochemical tests were firstly carried out in a custom-made two-compartment cell (H-cell), separated by an anion exchange membrane (Selemion AMV, AGC Engineering Co., LTD). All the glassware accessories used in this study were first cleaned by soaking in a “nochromix” bath and afterward in concentrated HNO3 for at least 12 h, rinsed and sonicated with ultrapure water several times. We have worked with a constant concentration of 0.1 M CO2-saturated KHCO3 solution (Honeywell). The working/counter compartment was filled with 40 mL of electrolyte respectively. Before and during the electrochemical reaction the working compartment was purged continuously with CO2 (30 sccm in total) from the bottom of the cell and the gas atmosphere was controlled with an in situ mass flow controller. Polished glassy carbon or carbon paper are used as working electrodes and measured with a Biologic SP 300 potentiostat. A platinum mesh 100 (Sigma-Aldrich 99.9%) was used as counter electrode (CE) and a leak-free Ag/AgCl electrode as reference electrode (Multi Channel Systems MCS GmbH). Every measurement was started with linear sweep voltammetry (LSV), performed with a scan rate of −5 mV/s starting at E = + 0.05 VRHE and ending at the working potential (between −0.78 VRHE and −1.0 VRHE) followed by a chronoamperometric step for a certain time. All reported potentials are corrected for Ohmic drop determined by electrochemical impedance spectroscopy (EIS). EC-Lab software was used to automatically correct 50% of the Ohmic drop, the remaining 50% was corrected manually. For each measurement, fresh electrolyte was used to ensure that adsorbates from previous experiments did not influence the result.
In situ transmission electron microscopy
Poseidon Select electrochemical cell holder (Protochips, in situ TEM E-chip cell) was used to load the samples into the microscope and maintain the liquid environment for the experiment. The electrochemical cell was made from commercially available electrochemistry chips (Protochips) consisting of an O-ring, a bottom chip, and a top E-chip with 3-electrodes imprinted on it, as shown in Supplementary Figure S13. The 3 electrodes on the top E-chip are made from Pt (both the reference and counter electrode), and glassy carbon (the working electrode). Both top and bottom chips are delivered with a protective photoresist coating to prevent damage to the SiN membrane. Acetone and methanol were used to remove the protective photoresist coating. The CuO NS catalyst were dispersed in ethanol and drop-casted onto the center of the top chip, plasma cleaning for 20 s improves the hydrophilicity of the chips before use. After assembling, liquid solution was delivered by an external Hamilton syringe pump through the microfluidic tubing into the tip of the Poseidon Select TEM holder with a flow rate of 30 μL/h−1. The electrochemistry measurements were performed with a floating potentiostat (Gamry Reference 600 + ). More experimental details are presented in the supplementary information.
Operando X-ray absorption spectroscopy (XAS)
Operando X-ray absorption spectroscopy was measured at the Cu K-edges at the BESSY-II synchrotron facility at KMC-3 beamline (Helmholtz-Zentrum Berlin, Germany). CuO NS catalysts were prepared on 2×2.5 cm glassy carbon sheets (250 µm thickness, Sigradur K) and mounted in an in-house made electrochemical Teflon cell. Operando spectra of CuO NS samples were collected in fluorescence geometry from the backside of the glassy carbon electrode. We used a 13 element Si-drift energy resolving detector (RaySpec) which we equipped with an Al-shielding having a 25×25 mm Ni foil (0.00125 mm, 99.999%, Goodfellow) in front to suppress scattered light. The electrochemical cell was controlled by a SP-300 potentiostat (Biologic). We used a Ag/AgCl reference electrode and a Pt coil as counter electrode. The CuO area exposed to the electrode was 1.96 cm². The 0.1 M KHCO3 electrolyte was purged throughout the experiment with ≈20 ml/min. All potentials were compensated for 85% Ohmic drop (R ≈ 40 Ω).
Operando differential electrochemical mass spectrometry (DEMS)
Operando Differential electrochemical mass spectrometry (DEMS) was done using a custom-made TU Berlin electrochemical capillary DEMS flow cell. DEMS capillary flow cell is characterized by having a well-defined electrolyte profile flow over the working electrode. The reaction products are transported into the interface liquid vacuum throughout a 0.15 mm glass capillary. The collection of high concentrated aliquot near catalyst surface and enhanced liquid-vacuum interface allows a fast and at high-intensity detection of gaseous products. The high performance with DEMS capillary flow cell results in the distributed flow over the hydrophobic membrane compartment also known as the cyclonic flow. The interface liquid/vacuum promoted by PTFE hydrophobic membrane with a pore size of 20 and thickness of 50 μm (Cobetter®, Cat. No. PF-002HS) are commercially available at Hangzhou Cobetter Filtration Equipment Co., Ltd. The reaction products after been vaporized into the vacuum chamber from the flow cell were detected using a PrismaTM quadrupole mass spectrometer (QMS 200, Pfeiffer-Vacuum). The vacuum chamber was composed of two turbomolecular pumps (HiPace 80) that perform an ultimate pressure 10−6 mbar at MS detectors. Each turbomolecular pump has an independent baking system helped a by membrane and oil pump (coupled with a molecular sieves oil trap).
CO2 reduction in flow cell electrolyzer
The flow cell electrolyzer is used for measuring the samples at high current densities, which were performed in a commercial cell supplied by ElectroCell. In all flow-cell experiments a commercial Ir-MMO plate (ElectroCell) was used as anode. The catalyst-inks were spray-coated on the microporous layer (MPL) of a Freudenberg C2 gas diffusion layer (GDL) on an area of 3 cm2 to achieve a catalyst loading of 1 mg cm−2. Nafion (Sigma-Aldrich, 5 wt% resin solution) was used as binder and for ionic conductivity of the catalyst-layer. 1 M KHCO3 (500 mL, Sigma-Aldrich, BioUltra, ≥99.5%) was used as anolyte and catholyte, which were separated by an anion exchange membrane (Selemion AMV, AGC Engineering Co., LTD.). Both electrolytes were cycled through each respective compartment at 100 mL min−1 by using a peristaltic pump (PMP Ecoline, Cole-Parmer). The CO2 (4.5 N) was supplied at a rate of 50 mL min−1 to the cathode and was flown from the back of the GDL through the catalyst layer. Measurements were performed galvanostatically for 2 h at each respective current during the catalytic tests, changing the current from low to high values. Each galvanostatic step was followed by a Potentiostatic Electrochemical Impedance Spectroscopy (PEIS) measurement to account for the ohmic drop in the calculation of RHE potentials.
Supplementary information
Acknowledgements
The research leading to these results has recieved funding from the European Union’s Horizon 2020 research and innovation programme under grant No. 101006701, EcoFuel. The authors are grateful for partial support by the German Federal Ministry of Education and Research (Bundesministerium für Bildung und Forschung, BMBF) under grant #03SF0523A/B/C–CO2EKAT. We acknowledge funding from the Germans National Science Foundation (Deutsche Forschungsgemeinschaft) through grant STR 596/5-2. H.D. acknowledges support by the BMBF in the IN-SITU-XAS and OPERANDO-XAS projects. We acknowledge the Helmholtz Zentrum Berlin (HZB) for providing experimental infrastructure and allocating beamtime at beamline KMC-3 of the BESSY synchrotron; we thank Ivo Zizak and further BESSY staff for their support. We thank Dr. Tore Niermann and Dipl. Ing. Sören Selve from Zentraleinrichtung für Elektronenmikroskopie (ZELMI) of the Technical University Berlin for their support with HR-TEM measurements. We acknowledge Dr. Fabio Dionigi from Technical University Berlin and Jakub Drnec at ID 31 from European Synchrotron Radiation Facility (ESRF) for their help on with the preparation of WAXS measurements, and Dr. Vadim Sikolenko for his help with the operando XAS experiments. AB and JR acknowledges the Danish National Research Foundation centers of excellence, The Center for High Entropy Alloys Catalysis (Project DNRF149).
Author contributions
X.W. and P.S. conceived and designed this project. X.W. carried out the materials synthesis, physical characterization and electrochemical evaluation; H.D. conceived and designed the operando XAS experiment, K.K. performed the experiment of operando XAS and data analysis, wrote part of the manuscript.; X.W. and M.K. performed the in situ liquid TEM experiments; T.M. helped with flow cell measurement; F.J. conducted the DEMS measurements and analyzed data with X.W.; I.M. contributed to WAXS data analysis; A.B. and J.R. participated in the discussion of electrochemical mechanism sections; A.B., S.J. and J.R. participated in the discussion of reaction mechanism; X.W. and P.S. wrote the first manuscript; all authors contributed to the discussions and assisted during manuscript preparation.
Funding
Open Access funding enabled and organized by Projekt DEAL.
Data availability
All data that support the findings of this study are present in the paper and the supplementary materials, and additional data are available from the corresponding author upon reasonable request. The Supplementary Information contains descriptions of methods, discussions on physicochemical characterization of CuO NS, in situ TEM, operando XAS, DEMS and flow cell test. The XAS data for Cu, and Cu2O reference materials were taken from ref. 20.
Competing interests
The authors declare no competing interests.
Footnotes
Peer review information Nature Communications thanks the anonymous reviewers for their contribution to the peer review of this work.
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary information
The online version contains supplementary material available at 10.1038/s41467-021-20961-7.
References
- 1.Chen C, Khosrowabadi J, Sheehan S. Progress toward commercial application of electrochemical carbon dioxide reduction. Chemistry. 2018;4:2571–2586. doi: 10.1016/j.chempr.2018.08.019. [DOI] [Google Scholar]
- 2.De Luna P, et al. What would it take for renewably powered electrosynthesis to displace petrochemical processes? Science. 2019;364:eaav3506. doi: 10.1126/science.aav3506. [DOI] [PubMed] [Google Scholar]
- 3.Han B-H, Hedin N. Editorial overview: CO2 capture and chemistry in the anthropocene. Curr. Opin. Green. Sustain. Chem. 2019;16:A1–A2. doi: 10.1016/j.cogsc.2019.03.001. [DOI] [Google Scholar]
- 4.Lv J, et al. A highly porous copper electrocatalyst for carbon dioxide reduction. Adv. Mater. 2018;30:1803111. doi: 10.1002/adma.201803111. [DOI] [PubMed] [Google Scholar]
- 5.Möller T, et al. Efficient CO2 to CO electrolysis on solid Ni–N–C catalysts at industrial current densities. Energy Environ. Sci. 2019;12:640–647. doi: 10.1039/C8EE02662A. [DOI] [Google Scholar]
- 6.Huang J, et al. Potential-induced nanoclustering of metallic catalysts during electrochemical CO2 reduction. Nat. Commun. 2018;9:3117. doi: 10.1038/s41467-018-05544-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Loiudice A, et al. Tailoring copper nanocrystals towards C2 products in electrochemical CO2 reduction. Angew. Chem. Int. Ed. 2016;55:5789–5792. doi: 10.1002/anie.201601582. [DOI] [PubMed] [Google Scholar]
- 8.Wu Y, et al. Domino electroreduction of CO2 to methanol on a molecular catalyst. Nature. 2019;575:639–642. doi: 10.1038/s41586-019-1760-8. [DOI] [PubMed] [Google Scholar]
- 9.Fu J, et al. Bipyridine-assisted assembly of Au nanoparticles on Cu nanowires to enhance the electrochemical reduction of CO2. Angew. Chem. Int. Ed. 2019;58:14100–14103. doi: 10.1002/anie.201905318. [DOI] [PubMed] [Google Scholar]
- 10.Ning H, et al. Cubic Cu2O on nitrogen-doped carbon shells for electrocatalytic CO2 reduction to C2H4. Carbon. 2019;146:218–223. doi: 10.1016/j.carbon.2019.02.010. [DOI] [Google Scholar]
- 11.Todorova T, Schreiber M, Fontecave M. Mechanistic understanding of CO2 reduction reaction (CO2RR) toward multicarbon products by heterogeneous copper-based catalysts. ACS Catal. 2020;10:1754–1768. doi: 10.1021/acscatal.9b04746. [DOI] [Google Scholar]
- 12.Wang X, et al. Mechanistic reaction pathways of enhanced ethylene yields during electroreduction of CO2–CO co-feeds on Cu and Cu-tandem electrocatalysts. Nat. Nanotechnol. 2019;14:1063–1070. doi: 10.1038/s41565-019-0551-6. [DOI] [PubMed] [Google Scholar]
- 13.Wang Y, et al. Catalyst synthesis under CO2 electroreduction favours faceting and promotes renewable fuels electrosynthesis. Nat. Catal. 2020;3:98–106. doi: 10.1038/s41929-019-0397-1. [DOI] [Google Scholar]
- 14.Burdyny T, Smith W. CO2 reduction on gas-diffusion electrodes and why catalytic performance must be assessed at commercially-relevant conditions. Energy Environ. Sci. 2019;12:1442–1453. doi: 10.1039/C8EE03134G. [DOI] [Google Scholar]
- 15.Vennekoetter J, Sengpiel R, Wessling M. Beyond the catalyst: how electrode and reactor design determine the product spectrum during electrochemical CO2 reduction. Chem. Eng. J. 2019;364:89–101. doi: 10.1016/j.cej.2019.01.045. [DOI] [Google Scholar]
- 16.Ma M, et al. Insights into the carbon balance for CO2 electroreduction on Cu using gas diffusion electrode reactor designs. Energy Environ. Sci. 2020;13:977–985. doi: 10.1039/D0EE00047G. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Kuhl K, Cave E, Abram D, Jaramillo T. New insights into the electrochemical reduction of carbon dioxide on metallic copper surfaces. Energy Environ. Sci. 2012;5:7050–7059. doi: 10.1039/c2ee21234j. [DOI] [Google Scholar]
- 18.Varela A, Kroschel M, Reier T, Strasser P. Controlling the selectivity of CO2 electroreduction on copper: the effect of the electrolyte concentration and the importance of the local pH. Catal. Today. 2016;260:8–13. doi: 10.1016/j.cattod.2015.06.009. [DOI] [Google Scholar]
- 19.Pang Y, et al. Joint tuning of nanostructured Cu-oxide morphology and local electrolyte programs high-rate CO2 reduction to C2H4. Green. Chem. 2017;19:4023–4030. doi: 10.1039/C7GC01677H. [DOI] [Google Scholar]
- 20.Klingan K, et al. Reactivity determinants in electrodeposited Cu foams for electrochemical CO2 reduction. ChemSusChem. 2018;11:3449–3459. doi: 10.1002/cssc.201801582. [DOI] [PubMed] [Google Scholar]
- 21.Kwon Y, et al. CO2 electroreduction with enhanced ethylene and ethanol selectivity by nanostructuring polycrystalline copper. ChemElectroChem. 2016;3:1012–1019. doi: 10.1002/celc.201600068. [DOI] [Google Scholar]
- 22.Lee S, Kim D, Lee J. Electrocatalytic production of C3-C4 compounds by conversion of CO2 on a chloride-induced Bi-phasic Cu2O-Cu catalyst. Angew. Chem. Int. Ed. 2015;54:14701–14705. doi: 10.1002/anie.201505730. [DOI] [PubMed] [Google Scholar]
- 23.Verdaguer-Casadevall A, et al. Probing the active surface sites for CO reduction on oxide-derived copper electrocatalysts. J. Am. Chem. Soc. 2015;137:9808–9811. doi: 10.1021/jacs.5b06227. [DOI] [PubMed] [Google Scholar]
- 24.Bagger A, et al. Electrochemical CO2 reduction: a classification problem. ChemPhysChem. 2017;18:3266–3273. doi: 10.1002/cphc.201700736. [DOI] [PubMed] [Google Scholar]
- 25.Feng X, Jiang K, Fan S, Kanan M. A direct grain-boundary-activity correlation for CO electroreduction on Cu nanoparticles. ACS Cent. Sci. 2016;2:169–174. doi: 10.1021/acscentsci.6b00022. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Tang W, et al. The importance of surface morphology in controlling the selectivity of polycrystalline copper for CO2 electroreduction. Phys. Chem. Chem. Phys. 2012;14:76–81. doi: 10.1039/C1CP22700A. [DOI] [PubMed] [Google Scholar]
- 27.Eilert A, et al. Subsurface oxygen in oxide-derived copper electrocatalysts for carbon dioxide reduction. J. Phys. Chem. Lett. 2017;8:285–290. doi: 10.1021/acs.jpclett.6b02273. [DOI] [PubMed] [Google Scholar]
- 28.Cavalca F, et al. Nature and distribution of stable subsurface oxygen in copper electrodes during electrochemical CO2 reduction. J. Phys. Chem. C. 2017;121:25003–25009. doi: 10.1021/acs.jpcc.7b08278. [DOI] [Google Scholar]
- 29.Lum Y, Ager J. Stability of residual oxides in oxide-derived copper catalysts for electrochemical CO2 reduction investigated with 18O labeling. Angew. Chem. Int. Ed. 2018;57:551–554. doi: 10.1002/anie.201710590. [DOI] [PubMed] [Google Scholar]
- 30.Lum Y, et al. Optimizing C–C coupling on oxide-derived copper catalysts for electrochemical CO2 reduction. J. Phys. Chem. C. 2017;121:14191–14203. doi: 10.1021/acs.jpcc.7b03673. [DOI] [Google Scholar]
- 31.Mandal L, et al. Investigating the role of copper oxide in electrochemical CO2 reduction in real time. ACS Appl. Mater. Interfaces. 2018;10:8574–8584. doi: 10.1021/acsami.7b15418. [DOI] [PubMed] [Google Scholar]
- 32.Le Duff C, Lawrence M, Rodriguez P. Role of the adsorbed oxygen species in the selective electrochemical reduction of CO2 to alcohols and carbonyls on copper electrodes. Angew. Chem. Int. Ed. 2017;56:12919–12924. doi: 10.1002/anie.201706463. [DOI] [PubMed] [Google Scholar]
- 33.Bergmann A, Roldan Cuenya B. Operando insights into nanoparticle transformations during catalysis. ACS Catal. 2019;9:10020–10043. doi: 10.1021/acscatal.9b01831. [DOI] [Google Scholar]
- 34.Kas R, et al. In-situ infrared spectroscopy applied to the study of the electrocatalytic reduction of CO2: theory, practice and challenges. ChemPhysChem. 2019;20:2904–2925. doi: 10.1002/cphc.201900533. [DOI] [PubMed] [Google Scholar]
- 35.Gao J, et al. Selective C–C coupling in carbon dioxide electroreduction via efficient spillover of intermediates as supported by operando Raman spectroscopy. J. Am. Chem. Soc. 2019;141:18704–18714. doi: 10.1021/jacs.9b07415. [DOI] [PubMed] [Google Scholar]
- 36.Jiang S, Klingan K, Pasquini C, Dau H. New aspects of operando Raman spectroscopy applied to electrochemical CO2 reduction on Cu foams. J. Chem. Phys. 2019;150:041718. doi: 10.1063/1.5054109. [DOI] [PubMed] [Google Scholar]
- 37.Beermann V, et al. Real-time imaging of activation and degradation of carbon supported octahedral Pt-Ni alloy fuel cell catalysts at the nanoscale using in situ electrochemical liquid cell STEM. Energy Environ. Sci. 2019;12:2476–2485. doi: 10.1039/C9EE01185D. [DOI] [Google Scholar]
- 38.Arán-Ais RM, et al. Imaging electrochemically synthesized Cu2O cubes and their morphological evolution under conditions relevant to CO2 electroreduction. Nat. Commun. 2020;11:3489. doi: 10.1038/s41467-020-17220-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Li Y, et al. Electrochemically scrambled nanocrystals are catalytically active for CO2-to-multicarbons. PNAS. 2020;117:9194–9201. doi: 10.1073/pnas.1918602117. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Eilert A, Roberts F, Friebel D, Nilsson A. Formation of copper catalysts for CO2 reduction with high ethylene/methane product ratio investigated with in situ X-ray absorption spectroscopy. J. Phys. Chem. Lett. 2016;7:1466–1470. doi: 10.1021/acs.jpclett.6b00367. [DOI] [PubMed] [Google Scholar]
- 41.Velasco-Vélez J, et al. The role of the copper oxidation state in the electrocatalytic reduction of CO2 into valuable hydrocarbons. ACS Sustain. Chem. Eng. 2019;7:1485–1492. doi: 10.1021/acssuschemeng.8b05106. [DOI] [Google Scholar]
- 42.Zheng Y, et al. Understanding the roadmap for electrochemical reduction of CO2 to multi-carbon oxygenates and hydrocarbons on copper-based catalysts. J. Am. Chem. Soc. 2019;141:7646–7659. doi: 10.1021/jacs.9b02124. [DOI] [PubMed] [Google Scholar]
- 43.De Luna P, et al. Catalyst electro-redeposition controls morphology and oxidation state for selective carbon dioxide reduction. Nat. Catal. 2018;1:103–110. doi: 10.1038/s41929-017-0018-9. [DOI] [Google Scholar]
- 44.Wang Y, et al. Copper nanocubes for CO2 reduction in gas diffusion electrodes. Nano Lett. 2019;19:8461–8468. doi: 10.1021/acs.nanolett.9b02748. [DOI] [PubMed] [Google Scholar]
- 45.Chae S, Lee S, Joo O. Directly synthesized silver nanoparticles on gas diffusion layers by electrospray pyrolysis for electrochemical CO2 reduction. Electrochim. Acta. 2019;303:118–124. doi: 10.1016/j.electacta.2019.02.046. [DOI] [Google Scholar]
- 46.De Gregorio G, et al. Facet-dependent selectivity of Cu catalysts in electrochemical CO2 reduction at commercially viable current densities. ACS Catal. 2020;10:4854–4862. doi: 10.1021/acscatal.0c00297. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Jovanov Z, Ferreira de Araujo J, Li S, Strasser P. Catalyst preoxidation and EDTA electrolyte additive remedy activity and selectivity declines during electrochemical CO2 reduction. J. Phys. Chem. C. 2019;123:2165–2174. doi: 10.1021/acs.jpcc.8b08794. [DOI] [Google Scholar]
- 48.Popov K, Maksimović M, Trnjančev J, Pavlović M. Dendritic electrocrystallization and the mechanism of powder formation in the potentiostatic electrodeposition of metals. J. Appl. Electrochem. 1981;11:239–246. doi: 10.1007/BF00610985. [DOI] [Google Scholar]
- 49.Yan C, Xue D. A modified electroless deposition route to dendritic Cu metal nanostructures. Cryst. Growth Des. 2008;8:1849–1854. doi: 10.1021/cg700851x. [DOI] [Google Scholar]
- 50.Reller C, et al. Selective electroreduction of CO2 toward ethylene on nano dendritic copper catalysts at high current density. Adv. Energy Mater. 2017;7:1602114. doi: 10.1002/aenm.201602114. [DOI] [Google Scholar]
- 51.Bagger, A., Castelli, I., Hansen, M., Rossmeisl, J. Fundamental Atomic Insight in Electrocatalysis. In: W. Andreoni SYe (ed). Handbook of Materials Modeling. (Springer International Publishing, 2018).
- 52.Calle-Vallejo F, Koper M. Theoretical considerations on the electroreduction of CO to C2 species on Cu(100) electrodes. Angew. Chem. Int. Ed. 2013;52:7282–7285. doi: 10.1002/anie.201301470. [DOI] [PubMed] [Google Scholar]
- 53.Nitopi S, et al. Progress and perspectives of electrochemical CO2 reduction on copper in aqueous electrolyte. Chem. Rev. 2019;119:7610–7672. doi: 10.1021/acs.chemrev.8b00705. [DOI] [PubMed] [Google Scholar]
- 54.Birdja Y, et al. Advances and challenges in understanding the electrocatalytic conversion of carbon dioxide to fuels. Nat. Energy. 2019;4:732–745. doi: 10.1038/s41560-019-0450-y. [DOI] [Google Scholar]
- 55.Bagger, A. et al. Electrochemical CO2 reduction: classifying Cu facets. ACS Catal. 9, 7894–7899 (2019).
- 56.Hori Y, Takahashi I, Koga O, Hoshi N. Electrochemical reduction of carbon dioxide at various series of copper single crystal electrodes. J. Mol. Catal. A Chem. 2003;199:39–47. doi: 10.1016/S1381-1169(03)00016-5. [DOI] [Google Scholar]
- 57.Arán-Ais R, et al. The role of in situ generated morphological motifs and Cu(I) species in C2+ product selectivity during CO2 pulsed electroreduction. Nat. Energy. 2020;5:317–325. doi: 10.1038/s41560-020-0594-9. [DOI] [Google Scholar]
- 58.Ledezma-Yanez I, Gallent E, Koper M, Calle-Vallejo F. Structure-sensitive electroreduction of acetaldehyde to ethanol on copper and its mechanistic implications for CO and CO2 reduction. Catal. Today. 2016;262:90–94. doi: 10.1016/j.cattod.2015.09.029. [DOI] [Google Scholar]
- 59.Bertheussen E, et al. Acetaldehyde as an intermediate in the electroreduction of carbon monoxide to ethanol on oxide-derived copper. Angew. Chem. Int. Ed. 2016;55:1450–1454. doi: 10.1002/anie.201508851. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Lum Y, Ager J. Evidence for product-specific active sites on oxide-derived Cu catalysts for electrochemical CO2 reduction. Nat. Catal. 2019;2:86–93. doi: 10.1038/s41929-018-0201-7. [DOI] [Google Scholar]
- 61.Ke F, et al. Enhanced electrocatalytic activity on gold nanocrystals enclosed by high-index facets for oxygen reduction. Nano Energy. 2014;7:179–188. doi: 10.1016/j.nanoen.2014.01.003. [DOI] [Google Scholar]
- 62.Tian N, et al. Synthesis of tetrahexahedral platinum nanocrystals with high-index facets and high electro-oxidation activity. Science. 2007;316:732–735. doi: 10.1126/science.1140484. [DOI] [PubMed] [Google Scholar]
- 63.Kibria M, et al. A surface reconstruction route to high productivity and selectivity in CO2 electroreduction toward C2+ hydrocarbons. Adv. Mater. 2018;30:1804867. doi: 10.1002/adma.201804867. [DOI] [PubMed] [Google Scholar]
- 64.Hoang T, et al. Nanoporous copper–silver alloys by additive-controlled electrodeposition for the selective electroreduction of CO2 to ethylene and ethanol. J. Am. Chem. Soc. 2018;140:5791–5797. doi: 10.1021/jacs.8b01868. [DOI] [PubMed] [Google Scholar]
- 65.Dinh C, et al. CO2 electroreduction to ethylene via hydroxide-mediated copper catalysis at an abrupt interface. Science. 2018;360:783–787. doi: 10.1126/science.aas9100. [DOI] [PubMed] [Google Scholar]
- 66.Hoang T, et al. Nanoporous copper films by additive-controlled electrodeposition: CO2 reduction catalysis. ACS Catal. 2017;7:3313–3321. doi: 10.1021/acscatal.6b03613. [DOI] [Google Scholar]
- 67.Ma S, et al. One-step electrosynthesis of ethylene and ethanol from CO2 in an alkaline electrolyzer. J. Power Sources. 2016;301:219–228. doi: 10.1016/j.jpowsour.2015.09.124. [DOI] [Google Scholar]
- 68.García de Arquer F, et al. CO2 electrolysis to multicarbon products at activities greater than 1 A cm-2. Science. 2020;367:661–666. doi: 10.1126/science.aay4217. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
All data that support the findings of this study are present in the paper and the supplementary materials, and additional data are available from the corresponding author upon reasonable request. The Supplementary Information contains descriptions of methods, discussions on physicochemical characterization of CuO NS, in situ TEM, operando XAS, DEMS and flow cell test. The XAS data for Cu, and Cu2O reference materials were taken from ref. 20.