DOI:
10.1039/D5TA10322C
(Paper)
J. Mater. Chem. A, 2026, Advance Article
Janus NiN4–CuN4 catalyst supported by a double-layered ZIF-8 structure for CO2 electrocatalytic reduction to C2+ products
Received
18th December 2025
, Accepted 20th February 2026
First published on 21st February 2026
Abstract
Copper (Cu)-based catalysts exhibit considerable potential for the electrocatalytic CO2 reduction reaction (CO2RR) to multi-carbon (C2+) products; nevertheless, competitive products (e.g., formic acid) have also been produced by thermodynamic constraints. The attainment of selective C2+ products exhibiting high faradaic efficiency (FE) and current density remains a significant challenge. Here, we designed a tandem catalytic strategy and prepared a series of Janus catalysts supported by double-layered ZIF-8 with inner MN4 and outer CuN4 for C2+ products (especially n-propanol). The synthetic catalyst, NiN4@CuN4, achieved high faradaic efficiencies of 80.6% for C2+ at −1.6 V in a flow cell, with 24.4% n-propanol (CH3CH2CH2OH) and 36.6% ethanol (CH3CH2OH). In situ Raman experiments along with mechanism analysis indicate that the synergistic interaction of inner NiN4 and outer CuN4 significantly facilitates CO production and CO electroreduction, thereby greatly promoting C2+ production.
1 Introduction
The transformation of CO2 into valuable fuels and the utilization of renewable energy resources are prospective avenues for achieving carbon neutrality.1–6 It is a well-established fact that C2+ products, exemplified by C2H4, C3H7OH and C2H5OH, exhibit superior energy density and economic value in comparison to their C1 counterparts. The following compounds are included in this category: methane (CH4), formic acid (HCOOH) and carbon monoxide (CO).7 The complex pathways of electron and proton transfer that occur in the CO2RR give rise to the emergence of competing reactions, such as the generation of C1 products and the hydrogen evolution reaction (HER).8 These competing reactions act as a thermodynamic limitation on the formative process of C2+ products. Additionally, the inherent slowness of the C–C coupling process represents a kinetic limitation on the C2+ production.9,10 The extant literature has demonstrated the considerable potential of Cu-based catalysts for the production of C2+.11 Significant endeavors have been undertaken to attain elevated CO2RR selectivity and activity. Strategies such as tandem catalysis12–14 and single atom15–17 active sites have been extensively studied, but FEC2+ is still below that of the C1 products (FEC1).
Single-atom catalysts are defined as catalysts in which high atom utilization is achieved through the dispersion of metal atoms.18 For instance, Gu et al.19 published an innovative N-triggered Zn single-atom catalyst that exhibited excellent oxygen reduction reaction (ORR) performance and low overpotential. Presently, single-atom catalysts are being researched for the CO2RR, with most studies focusing on CO. Single-atom transition metal catalysts, including Fe,20–22 Co,23–25 and Ni,26–28 primarily facilitate the electroreduction of CO2 to C1 products through electrocatalysis. Furthermore, C–C coupling can only be achieved effectively by Cu-based catalysts. Nevertheless, the restricted number of catalytic sites and the considerable distance between them render the conversion of C2 products with a single Cu single-atom catalyst an arduous task.
Janus catalysts have the capacity to separate two metals, and they are frequently employed catalysts in tandem catalysis.29 Nanoparticles exhibiting high activity in cascade catalytic reactions are produced by Janus catalysts with multifunctional active sites that possess diverse catalytic properties. Transition metal monoatomic materials (e.g., Fe, Co, Ni) generate high concentrations of CO during CO2 electroreduction; this CO then promotes C2 product formation over Cu-based catalysts. Zhang et al.30 reported that a gas diffusion electrode achieved high CO utilization efficiency and high FEC2+ through two segments catalyzed in series. Janus catalysts represent a strategy of considerable merit for efficient CO2 tandem catalysis. Nevertheless, this material is currently the subject of less study compared to other areas, and its synthesis is extremely challenging.
Herein, in this study, we prepared a series of MN4@CuN4 catalysts with a two-layer ZIF-8 structure, which was capable of enriching CO and achieving high efficiency in the tandem catalysis of carbon dioxide. The synthetic catalyst, NiN4@CuN4, achieved 81.0% FEC2+ at −1.6 V vs. RHE potential in 1 M KOH, with 24.4% CH3CH2CH2OH and 36.6% CH3CH2OH. This work employs a range of transition metals (including Fe, Co, and Ni) as the CO2 activation site, utilizes the double-layered structure to facilitate CO enrichment, and offers a high CO concentration at the outer CuN4 site. This provides a new strategy of electrocatalyst synthesis for transformation of the CO2RR into a C2+ generation reaction.
2 Experimental section
2.1 Reagents and materials
Zinc acetate dihydrate (Zn(CH3COO)2·2H2O), nickel(II) chloride hexahydrate (NiCl2·6H2O), iron(II) sulfate heptahydrate (FeSO4·7H2O), 2-methylimidazole (2-MeIm), cobalt(II) chloride hexahydrate (CoCl2·6H2O), copper(II) chloride dihydrate (CuCl2·2H2O), 1,10-phenanthroline, Nafion 117 solution, and potassium hydroxide (KOH) were analytical grade and purchased from Shanghai Macklin Biochemical Technology Company. Methanol (MeOH), (methyl sulfoxide)-d6 (DMSO-d6), deuterium oxide (D2O) and anhydrous ethanol (EtOH) were purchased from Shanghai Aladdin Biochemical Technology Co. Ltd. High purity CO2 (99.999%) and N2 (99.999%) were purchased from Zhuhai Huaxin Gas Co. Ltd. All the chemicals and reagents were used without further purification.
2.2 Synthesis of Niphen@ZIF-8
A solution of 0.357 g NiCl2·6H2O and 0.743 g 1,10-phenanthroline in 120 mL methanol was prepared and stirred for 0.5 h. Subsequently, 4.61 g Zn(CH3COO)2·2H2O was added to the solution and stirred for 1 h. The aforementioned solution was then added dropwise to a solution of 17.2 g 2-MeIm in 10 mL of methanol, which was stirred for 5 min and allowed to precipitate for 24 h. The products were washed with methanol, centrifuged three times and then dried in a vacuum at 60 °C. The product was prepared and named Niphen@ZIF-8.
2.3 Synthesis of Niphen@ZIF-8@Cuphen
Niphen@ZIF-8 was added into 120 mL of methanol and dispersed into a 3 mg mL−1 suspension. 0.341 g CuCl2·2H2O was added and stirred for 0.5 h. Subsequently, 0.991 g 1,10-phenanthroline was added and stirred for 1 h. The products were washed with methanol, centrifuged three times and then dried in a vacuum at 60 °C. Finally, Niphen@ZIF-8@Cuphen was obtained.
2.4 Synthesis of Niphen@ZIF-8@Cuphen@ZIF-8
Niphen@ZIF-8@Cuphen was added into 40 mL of methanol and dispersed into a 3 mg mL−1 suspension. 1.76 g Zn(CH3COO)2·2H2O was added and stirred for 1 h. Subsequently, 0.991 g 1,10-phenanthroline was added and stirred for 24 h. The product was washed with methanol, centrifuged three times and then dried in a vacuum at 60 °C. The final product was labelled Niphen@ZIF-8@Cuphen@ZIF-8.
2.5 Synthesis of NiN4@CuN4
250 mg Niphen@ZIF-8@Cuphen@ZIF-8 was heated to 900 °C under N2 in a tube furnace at 5 °C min−1 and held for 2 h. After cooling, black NiN4@CuN4, was collected.
2.6 Synthesis of CoN4@CuN4 and FeN4@CuN4
CoN4@CuN4 and FeN4@CuN4 were obtained by replacing 0.357 g NiCl2·6H2O with 0.357 g CoCl2·6H2O and 0.357 g FeSO4·7H2O, and other steps were the same as in the preparation of NiN4@CuN4.
2.7 Electrochemical measurements
Electrochemical tests were undertaken within an airtight flow cell, using a Chenhua 660e electrochemical workstation. The carbon paper working electrode was loaded with the catalyst at a density of 1 mg cm−2 and measured. The counter electrode and reference electrode were a 1 cm2 platinum sheet and a Hg/HgO electrode, respectively. Cathode and anode compartments in the flow cell were divided by an anion-exchange membrane (AEM). Both compartments contained 1 M aqueous KOH electrolyte, with flow rates controlled by a peristaltic pump at 10 mL min−1. Flow rates of carbon dioxide (CO2) were regulated by a digital gas flow controller, set at 20 standard cubic centimeters per minute (sccm). It is important to note that not all measured voltages were IR-compensated; however, they were all subjected to conversion to the reversible hydrogen electrode (RHE) potential. The conversion formula is E (vs. RHE) = E (vs. Hg/HgO) + 0.095 V + 0.0591 V × pH.
2.8 Quantitative analysis of gas and liquid products
The gaseous products were subjected to analysis by gas chromatography equipped with FID and TCD detectors. The FE of gaseous products was calculated as follows:w
here z represents the number of exchanged electrons for CO2 electroreduction to a specific product, n is the molar quantity of a specific electrocatalytic product, F is the faradaic constant (96
485C mol−1), the term “Q” is used to denote the charge quantity passing through the working electrode during the electrocatalytic process, x is the volume concentration of the gaseous product, the term “v” is the flow rate of CO2, the term “P” is the standard atmospheric pressure, I is the current passing through the working electrode during electrocatalysis, R is the gas parameter (8.314 J mol−1 K−1), and the term “T” is the room temperature.
The liquid product was determined by 1H NMR spectra. 500 µL of the electrolyte after the CO2RR and 100 µL of D2O containing 50 ppm (m m−1) dimethyl sulfoxide as an internal standard were used to determine the product-specific Faraday efficiency on a Bruker 400 MHz spectrometer. The Faraday efficiency of the liquid product was calculated as follows:w
here
Qtotal represents the total charge consumed during the electrolysis,
Qproduct is the charge during the formation of the liquid product,
m represents the number of exchanged electrons for the CO
2RR,
n is the number of moles of a certain product, and the term “
t” is electrolysis time.
3 Results and discussion
3.1 Morphological and structural investigation
The tandem catalyst, NiN4@CuN4, was prepared layer by layer using a bottom–up strategy. The synthesis route is shown in Fig. 1a. Subsequent to a 900 °C treatment, a double-layered carbon material containing an inner NiN4 site and outer CuN4 was prepared.31 The synthesized materials were analyzed via XRD, and the resulting pattern is presented in Fig. 2a. The standard XRD pattern of ZIF-8 is shown. It is evident that the structures of Niphen@ZIF-8, Niphen@ZIF-8@Cuphen and Niphen@ZIF-8@Cuphen@ ZIF-8 were consistent with the ZIF-8 standard card, thereby demonstrating the retention of identical structural characteristics. The examination of Ni and Cu was not conducted due to their low content.32 The X-ray diffraction (XRD) pattern of NiN4@CuN4, CoN4@CuN4 and FeN4@CuN4 (Fig. 2b) exhibited diffraction peaks consistent with the (002) and (100) planes of graphene, with peak positions of 22.6° and 43.5°, respectively.33 The Raman spectrum illustrated in Fig. 2c also corroborated the presence of graphene peaks. The sp2 graphene peaks were observed at 2700 cm−1.34 This ratio of disorder to graphene peak strength (ID: IG) for NiN4@CuN4 was 1.25, indicating that heat treatment caused obvious defects.35
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| | Fig. 1 (a) The synthesis route of Janus catalyst MN4@CuN4 supported by double-layered ZIF-8, (b) the generation process of C2+ products on MN4CuN4, and (c) schematic representation of the flow cell. | |
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| | Fig. 2 (a) XRD patterns of ZIF-8, Niphen@ZIF-8, Niphen@ZIF-8@Cuphen and Niphen@ZIF-8@Cuphen@ ZIF-8; (b) XRD patterns of NiN4@CuN4, CoN4@CuN4 and FeN4@CuN4; (c) Raman spectrum of NiN4@CuN4, CoN4@CuN4 and FeN4@CuN4; SEM image of (d) Niphen@ZIF-8, (e) Niphen@ZIF-8@Cuphen, (f) Niphen@ZIF-8@Cuphen@ ZIF-8, (g) NiN4@CuN4, (h) FeN4@CuN4 and (i) CoN4@CuN4; TEM image of (j) FeN4@CuN4, (k) NiN4@CuN4 and (l) CoN4@CuN4; (m) magnified HAADF-STEM image of NiN4@CuN4; (n) HAADF-STEM image of NiN4@CuN4; and (o) EDS elemental mappings of C, Cu, N and Ni. | |
The prepared materials were characterized by SEM (Fig. 2d–i). The Niphen@ZIF-8 sample exhibited a standard ZIF-8 dodecahedral structure with an edge length of approximately 500 nm. The incorporation of Cuphen into Niphen@ZIF-8@Cuphen results in an uneven surface topography. After coating with ZIF-8 and heat treatment again, the NiN4@CuN4 surface is smooth again and the average crystal width is 550 nm. The successful coating with ZIF-8 is evidenced by the increase in material size and the structural change. The catalysts CoN4@CuN4 and FeN4@CuN4 prepared by the same process are shown in Fig. 2e and f. The morphology of the two catalysts is consistent with that of NiN4@CuN4.
As shown in Fig. 2j–l, NiN4@CuN4, CoN4@CuN4 and FeN4@CuN4 have a clear porous concave dodecahedral structure in the TEM image.
The magnified high-angle annular dark-field scanning TEM (HAADF-STEM) indicates that there are carbon streaks and obvious individual bright spots in the material, with no metallic streaks present, suggesting the successful synthesis of single-atom catalysts (Fig. 2m). NiN4@CuN4 has a distinct concave dodecahedral structure inside and a concave dodecahedral structure outside, demonstrating the successful synthesis of the double-layered ZIF-8 skeletal structure (Fig. 2n),which is consistent with previous reports.31 TEM elemental mapping images (Fig. 2o) showed that Ni was uniformly distributed in the innermost layer of NiN4@CuN4 (inside the inner ZIF-8) and the uniform distribution of Cu was observed in the outer ZIF-8 layer, indicating the successful synthesis of NiN4@CuN4.
The N2 adsorption–desorption isotherm is a key indicator of numerous physical characteristics inherent to the tandem catalyst (Fig. 3a). The values of specific surface areas of NiN4@CuN4, CoN4@CuN4, and FeN4@CuN4 were found to be 366.3, 203.7, and 293.5 m2 g−1, respectively. The elevated specific surface area of NiN4@CuN4 suggests numerous active sites, consistent with its remarkable catalytic activity. A clear H3 hysteresis loop was observed at medium-pressure (0.3 < P < 0.8), without an adsorption plateau at high pressure (0.8 < P < 1). The isotherms exhibited characteristics of type IV isotherms. The material displayed clear mesoporous characteristics, with a pore size distribution curve indicating a predominant pore size of 2.3 nm and 8.5 nm (Fig. 3b).
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| | Fig. 3 (a) N2 adsorption–desorption isotherm curves, (b) pore size distribution of NiN4@CuN4, CoN4@CuN4 and FeN4@CuN4, (c) XPS survey of NiN4@CuN4, (d) C 1s spectra of NiN4@CuN4. | |
X-ray photoelectron spectroscopy (XPS) analysis of the tandem catalyst provided precise insights into the elemental composition and surface valence states. Fig. S7 depicts the XPS total spectrum of NiN4@CuN4, which reveals the presence of discernible peaks corresponding to elements such as C, N, Ni, and Cu within NiN4@CuN4. Limited by the detection depth (∼5–10 nm), the photoelectron signals of Cu and Ni are significantly attenuated, especially the Ni 2p orbital cannot be deconvoluted. The contents of Cu and Ni were 1.03 wt% and 2.32 wt% (Table S1), respectively, which were measured by ICP-OES quantitative analysis (pretreatment of aqua regia digestion). Furthermore, the XPS tests of CoN4@CuN4 and FeN4@CuN4 (Fig. S1 and S2) also demonstrated that they contained Fe, Co, N and Cu. The C 1s spectrum of NiN4@CuN4 is displayed in Fig. 3c. Following deconvolution, the spectrum displays five distinct peaks corresponding to C
C, C–C, C–N, C–O, and C
O bonds.36 As illustrated in Fig. 3d, the deconvoluted N 1s spectrum is indicative of the presence of pyridinic N (around 398.8 eV), Ni–N and Cu–N (around 399.7 eV), pyrrolic N (around 400.0 eV), graphitic N (around 402.2 eV), and oxidized N (around 404.9 eV). This observation suggests the presence of significant defects in the material and that the metallic elements are anchored by N.37 This evidence confirms the presence of NiN4 and CuN4 species within the catalyst. A combined analysis was undertaken, incorporating scanning electron microscopy, inductively coupled plasma emission spectroscopy, and transmission electron microscopy images. This composite analysis indicated the synthesis of the target product.
3.2 CO2 electroreduction performance
The CO2 electroreduction properties of NiN4@CuN4, CoN4@CuN4 and FeN4@CuN4 were investigated using a three-electrode flow cell (Fig. 1c) within 1 M potassium hydroxide solution. Initially, the electrocatalysts were submitted to linear sweep voltammetry (LSV) under a N2 or CO2 atmosphere (Fig. S3), where all three catalysts had much higher current densities than the hydrogen evolution reaction (HER). Fig. 4a compares the current densities of the three catalysts under a CO2 atmosphere, with NiN4@CuN4 having a higher current density of approximately 120 mA cm−2 at −1.5 V vs. RHE and FeN4@CuN4 having a more positive onset potential.
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| | Fig. 4 (a) LSV curves of NiN4@CuN4, CoN4@CuN4 and FeN4@CuN4 in a flow cell, (b) FE of products NiN4@CuN4, CoN4@CuN4 and FeN4@CuN4 in the flow cell, (c) the ratios of FE of C2+ and C1 products on NiN4@CuN4, CoN4@CuN4 and FeN4@CuN4 in the flow cell, (d) FE of C2+ products for NiN4@CuN4, CoN4@CuN4 and FeN4@CuN4 in the flow cell at varying positive potentials, (e) stability and FEC2+ of NiN4@CuN4, CoN4@CuN4 and FeN4@CuN4 in the CO2RR at −1.6 V in the flow cell, and (f) comparison of the FEC2+ value of NiN4@CuN4 with other published high-performance Cu-based electrocatalysts. | |
Subsequently, we investigated the CO2 catalytic performance of the catalysts by performing constant potential tests at −1.3 to −1.7 V vs. RHE. The it curves are shown in Fig. S4. The identification of the products was achieved through the utilization of gas chromatography and 1H NMR (Fig. 4b and S5). High electron transfer products CH3CH2CH2OH, C2H4, CH3COOH and CH3CH2OH were obtained on NiN4@CuN4 with the highest Faraday efficiency (81.0% at −1.6 V vs. RHE) with 24.4% CH3CH2CH2OH and 36.6% CH3CH2OH. C2H4, CH3COOH and C2H5OH could also be obtained on CoN4@CuN4, which has a Faraday efficiency of 50.4% for C2+ with 20.8% CH3CH2OH and 13.7% CH3COOH. FeN4@CuN4 is less active for C2+ products and the products are mainly C1, which is consistent with the lower onset voltage. CH4 and HCOOH are the main products, with 45.8% CH4 and 30.8% HCOOH. This may be because FeN4@CuN4 produces less CO, which makes the reaction slower and favorable for C1 generation. Fig. 4c displays the C2/C1 ratio of electrocatalytic products for the three catalysts, indicating that the tandem catalytic action of the inner and outer layers in NiN4@CuN4 promotes C–C bonding processes, whereas CoN4@CuN4 and FeN4@CuN4 exhibit distinct behaviors. The C2/C1 ratio for NiN4@CuN4 increased gradually with voltage, indicating that −1.3 to −1.7 V vs. RHE is more favorable for NiN4@CuN4 to produce C2. The product ratios of the C2/C1 class of products in Fig. 4c demonstrate an enhanced C–C coupling process via a yolk–shell structure on NiN4@CuN4, in contrast to CoN4@CuN4 and FeN4@CuN4. This may be attributed to the smaller BET and fewer active sites of CoN4@CuN4. The main product of FeN4@CuN4 is C1, and the value of C2/C1 is almost 0. The C2+ Faraday efficiencies of the three catalysts at different voltages showed a volcano distribution shown in Fig. 4d, in which NiN4@CuN4 and CoN4@CuN4 reached maxima, 81.0% and 50.4%, respectively, at −1.6 V.
Finally, a long-term electrocatalytic stability test was performed on each of the electrocatalysts at −1.6 V (Fig. 4e). After 20 hours, the current density did not decrease significantly, with NiN4@CuN4 exceeding 100 mA cm−2, making it suitable for industrial catalytic applications.
In conclusion, the catalyst NiN4@CuN4 exhibited excellent CO2RR catalytic performance, especially up to 24.4% of CH3CH2CH2OH. The catalysts in this work outperformed most reported catalysts (Fig. 4f),38–44 as shown in Table S1.
3.3 Mechanism analysis
The reaction mechanism of the synthesized electrocatalyst was obtained through electrocatalytic kinetic analysis. As shown in Fig. 5a and S6, cyclic voltammetry was executed on NiN4@CuN4, CoN4@CuN4, and FeN4@CuN4, and their bilayer capacitance values (Cdl) were 25.76, 4.73, and 26.73 mF cm−2, indicating higher electrochemical active surface area (ECSA) for NiN4@CuN4 and FeN4@CuN4. Furthermore, electrochemical impedance spectroscopy (EIS) analysis demonstrated that NiN4@CuN4 exhibited superior conductivity as shown in Fig. 5b, thereby potentiating electron transfer at the electrolyte interface. For further exploring generation pathways of CH3CH2OH and CH3CH2CH2OH, we plotted current density maps (Fig. 5c) and Tafel curves (Fig. 5d) to reveal their kinetic properties. CH3CH2OH's part current density on NiN4@CuN4 is −35.87 mA cm−2 (larger than CH3CH2CH2OH's 23.91 mA cm−2) at −1.6 V, its Tafel slope is 672.94 mV dec−1 (smaller than CH3CH2CH2OH's 720.57 mV dec−1), and the data suggest a slower C–C coupling step for CH3CH2CH2OH.45
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| | Fig. 5 (a) Electrochemical double-layer capacitance of NiN4@CuN4, CoN4@CuN4 and FeN4@CuN4; (b) electrochemical impedance spectra of NiN4@CuN4, CoN4@CuN4 and FeN4@CuN4; (c) C2H5OH and C3H7OH part current densities on NiN4@CuN4 and CoN4@CuN4; and (d) Tafel plots of C2H5OH and C3H7OH for NiN4@CuN4 and CoN4@CuN4. | |
To further analyze the CO2RR mechanism of NiN4@CuN4, the evolution of surface intermediates over time (0–40 min) at −1.6 V was investigated employing in situ Raman spectra. With the extension of the catalytic time, the characteristic peak of NiN4@CuN4 disappears (Fig. 6), and the characteristic band of Cu2O emerges at 590 cm−1.46 Subsequent to the restoration of the voltage to the open-circuit voltage, the aforementioned Cu2O band disappears, thus indicating the consequences of high potentials on the catalyst reconfiguration. The –C–OH stretching pattern of the C2 intermediate (*HOCCOH), observed at 1220 cm−1, provides definitive evidence of C2+ generation and validates the easy C–C coupling of NiN4@CuN4.47 The peaks observed at 1308 and 1589 cm−1 are associated with surface-bound *CO2− intermediates,48 suggesting CO2 activation via *CO2− to *CO.
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| | Fig. 6 (a) Carbon dioxide electroreduction at −1.6 V was studied using in situ Raman spectroscopy on NiN4@CuN4 (in situ Raman measurements were taken in 0.1 M KHCO3 aqueous solution full of CO2), (b) carbon dioxide electroreduction from OCP to −1.8 V was studied using in situ FTIR spectroscopy on NiN4@CuN4 (in situ FTIR measurements were taken in 1 M KHCO3 aqueous solution full of CO2), (c) Gibbs free energy diagrams for the hydrogenation of CO2 to CO on NiN4 and CuN4 sites, (d) Gibbs free energy diagrams for the hydrogenation of *CO to *CH3CH2OH and *OCHCH2CHO on CuN4, (e) Cu Auger spectrum and (f) the Cu 2p spectrum of CuN4 before catalysis, (g) Cu auger spectrum and (h) Cu 2p spectrum of NiN4@CuN4 after catalysis. | |
At high potentials, we identified the adsorption bands of *CO (2097–2197 cm−1)49 and found that high *CO coverage is the basis for C–C coupling. Furthermore, C–H signals were observed on the NiN4@CuN4 surface in the high wave number region, from 2700 to 3200 cm−1.50 However, due to the complexity of the C–H bonds, reliable conclusions could not be drawn.
To investigate the electrocatalytic mechanism of CO2 conversion on NiN4@CuN4 further, we performed density functional theory (DFT) calculations (Fig. 6c and d) and in situ infrared spectroscopy measurements (Fig. 6b). First, we calculated the pathways for CO2 hydrogenation to *CO at the NiN4 and CuN4 sites. As illustrated in Fig. 6c, the energy barrier for CO2 conversion to *CO is lower at the CuN4 site, whereas the barrier for *CO desorption to CO is lower at the NiN4 site. This suggests that both sites are active for CO2 activation to CO, but that the CO generated at the NiN4 site can diffuse to the outer layer and be adsorbed by the CuN4 site. This result correlates with the continuous depletion of the characteristic peak of gas-phase CO2 (2346 cm−1) observed in situ by infrared spectroscopy. Concurrently, two peaks appear successively at ∼2050 cm−1 (first) and ∼2113 cm−1, which are assigned to CO adsorbed atop the Cu and Ni sites, respectively. Subsequently, a bridged CO signal (∼1900 cm−1) emerges and intensifies, creating conditions for C–C coupling.51
Secondly, we calculated the pathway at the CuN4 site, in which *CO and *CO dimerise to form *OCCO. This is then hydrogenated to produce the vital oxygen-containing C2 intermediate, *CH2CHO. The appearance of a characteristic peak at ∼1276 cm−1 in the infrared spectrum can be assigned to *OCCOH. Subsequently, the shift of the ∼1693 cm−1 peak (C
O stretching vibration) clearly indicates the formation of oxygen-containing C2 intermediates, such as *CH2CHO. Simultaneously, the evolution of the C–H bending vibration (from ∼1391 to ∼1472 cm−1) was also observed.52
Then, DFT calculations were performed to determine the energy barriers for the hydrogenation of CH2CHO to form CH3CH2OH and for C1 + C2 coupling with CO molecules to form OCHCH2CHO. The results are consistent with previous literature reports and indicate that the energy barrier is *OCHCH2CHO > *CH3CH2OH. This aligns with the observed product yields of 28.6% n-propanol and 36.6% ethanol. This is attributed to CO overflow from the inner NiN4 sites forming highly covered *CO on the CuN4 sites, thereby favoring the formation of n-propanol.53 The electrocatalytic products of the physical mixture of NiN4 and CuN4 (NiN4/CuN4) (Fig. S8) are solely C1 and C2, which further corroborates this. In situ infrared fingerprint region data reveal that, following the appearance of the CH2CHO C
O characteristic peak (at ∼1693 cm−1), the double peak in the characteristic fingerprint region representing carbon chain elongation (at ∼1161 and 1084 cm−1) appears and intensifies simultaneously, ultimately leading to a significant increase in the intensity of the methyl characteristic peak (at ∼2969 cm−1). This provides complete spectral evidence of the transition from the C2 intermediate to the methyl-containing C3 product.
In summary, theoretical calculations and in situ spectroscopic dynamics corroborate each other, jointly indicating a tandem catalytic pathway. CO2 is efficiently activated to CO at the inner-layer NiN4 sites. The CO then diffuses and becomes enriched at the outer-layer CuN4 sites, forming a bridged adsorption configuration that triggers C–C coupling. This generates an oxygen-containing C2 intermediate, which then undergoes C1 + C2 coupling with a second *CO molecule. This enables carbon chain elongation and ultimately hydrogenation, yielding the target product n-propanol.
To further investigate the deactivation mechanism of NiN4@CuN4, we conducted XPS and Cu LMM measurements on NiN4@CuN4 before catalysis and after 20 h of catalysis. Cu LMM was fitted using the least squares method. As shown in Fig. 6e–h, before catalysis, Cu2+ was the predominant species, with an area ratio to Cu+ of 4.61. A distinct Cu2+ satellite peak (962.39 eV) was observed in the Cu 2p spectrum, consistent with the fitting results. After 20 h of catalysis, Cu2+ disappeared, and Cu+ became the predominant species. Simultaneously, no Cu2+ satellite peak (962.39 eV) was detected in the Cu 2p spectrum. In summary, after prolonged electrocatalytic operation, a portion of the Cu2+ active sites irreversibly reduced to Cu+ species. This valence change, accompanied by alterations in the local electronic structure and coordination environment of the sites, weakened their adsorption capacity for the key C1 intermediate (CO).54 Consequently, C–C coupling significantly decreased, consistent with the sustained decline in faradaic efficiency for the C2+ product. Therefore, the irreversible transformation of active sites from highly active Cu2+ into less active Cu+ species is the core reason for the performance decay of NiN4@CuN4 in electrocatalysis.
4 Conclusions
In summary, a general strategy was developed for synthesizing Janus catalysts (MN4@CuN4) with double-layered ZIF-8 as the backbone structure and CuN4-wrapped MN4. The inner layer of MN4 facilitates the release of a high concentration of CO, while the outer layer of CuN4 promotes carbon–carbon coupling in the CO reduction reaction, thereby achieving tandem catalysis at the nanoscale. Furthermore, the integration of physical characterization, electrocatalytic kinetic analysis and DFT calculation facilitated the observation of the dynamic stabilization signal of *COatop, along with the key signal of *CObridge, *OCCOH, during the CO2RR process. This enabled the efficient synthesis of the C2+ product. Among them, the NiN4@CuN4 catalyst demonstrated exceptional performance in the CO2RR to C2+ products in 1 M KOH, exhibiting an excellent FE of 81.0% for the C2+ products at a voltage of −1.6, including a noteworthy FE of 24.4% for CH3CH2CH2OH. The findings of this study offer novel insights into the design of innovative catalysts and the optimization of CO2RR performance, particularly in the synthesis of propanol.
Author contributions
Gege Zhang: methodology, conceptualization, formal analysis, data curation, and writing – original draft. Qianyun Tan: visualization, and writing – review. Xiaoyu Xu: visualization, and writing – review. Faqian Liu: supervision, funding acquisition, project administration, visualization, and writing review.
Conflicts of interest
There are no conflicts to declare.
Data availability
All data supporting this study are included in the article and its supplementary information (SI). Supplementary information: characterization, computational methods, synthetic method of NiN4/CuN4, X-ray photoelectron spectroscopy, electrochemical data, metal contents data and comparison with other Cu-based catalysts. See DOI: https://doi.org/10.1039/d5ta10322c.
Acknowledgements
We acknowledge the support from the National Natural Science Foundation of China (52073311) and Guangdong Basic and Applied Basic Research Foundation (2023A1515240024 and 2025A1515012908).
References
- J. W. Ager and A. A. Lapkin, Science, 2018, 360, 707–708 CrossRef CAS PubMed.
- Y. Y. Birdja, E. Pérez-Gallent, M. C. Figueiredo, A. J. Göttle, F. Calle-Vallejo and M. T. M. Koper, Nat. Energy, 2019, 4, 732–745 CrossRef CAS.
- X. Chen, S. Jia, J. Zhai, J. Jiao, M. Dong, C. Xue, T. Deng, H. Cheng, Z. Xia, C. Chen, X. Xing, J. Zeng, H. Wu, M. He and B. Han, Nat. Commun., 2024, 15, 7691 CrossRef CAS PubMed.
- E. W. Lees, B. A. W. Mowbray, F. G. L. Parlane and C. P. Berlinguette, Nat. Rev. Mater., 2021, 7, 55–64 CrossRef.
- H. Tian, J.-T. Yang, X. Wang, H. Jiao, Z.-F. Gao, K.-Y. Zhu, Q. He and Z.-L. Wang, Appl. Catal. B Environ. Energy, 2025, 375, 125411 CrossRef CAS.
- J.-Y. Chen, J.-T. Yang, Y.-S. Han, Y.-Q. Huang, N.-N. Tian, J.-H. Li and Z.-L. Wang, ACS Catal., 2025, 15, 14882–14894 CrossRef CAS.
- M. Jouny, W. Luc and F. Jiao, Ind. Eng. Chem. Res., 2018, 57, 2165–2177 CrossRef CAS.
- X. Su, Z. Jiang, J. Zhou, H. Liu, D. Zhou, H. Shang, X. Ni, Z. Peng, F. Yang, W. Chen, Z. Qi, D. Wang and Y. Wang, Nat. Commun., 2022, 13, 1322 CrossRef CAS PubMed.
- W. Liu, P. Zhai, A. Li, B. Wei, K. Si, Y. Wei, X. Wang, G. Zhu, Q. Chen, X. Gu, R. Zhang, W. Zhou and Y. Gong, Nat. Commun., 2022, 13, 1877 CrossRef CAS PubMed.
- Y. Hori, H. Wakebe, T. Tsukamoto and O. Koga, Electrochim. Acta, 1994, 39, 1833–1839 CrossRef CAS.
- S. Popović, M. Smiljanić, P. Jovanovič, J. Vavra, R. Buonsanti and N. Hodnik, Angew. Chem., Int. Ed., 2020, 59, 14736–14746 CrossRef PubMed.
- L. Bian, Y. Bai, J.-Y. Chen, H.-K. Guo, S. Liu, H. Tian, N. Tian and Z.-L. Wang, ACS Nano, 2025, 19, 9304–9316 CrossRef CAS PubMed.
- W. Zheng, X. Yang, Z. Li, B. Yang, Q. Zhang, L. Lei and Y. Hou, Angew. Chem., Int. Ed., 2023, 62, e202307283 CrossRef CAS PubMed.
- Q. He and T.-T. Li, Chem.–Eur. J., 2025, 31, e202403297 CrossRef CAS PubMed.
- T. Tang, Z. Wang and J. Guan, Exploration, 2023, 3, 20230011 CrossRef CAS PubMed.
- Z. Zhang, Z. Yang, L. Liu, Y. Wang and S. Kawi, Adv. Energy Mater., 2023, 13, 2301852 CrossRef CAS.
- Q. Yang, H. Liu, Y. Lin, D. Su, Y. Tang and L. Chen, Adv. Mater., 2024, 36, 2310912 CrossRef CAS PubMed.
- X.-F. Yang, A. Wang, B. Qiao, J. Li, J. Liu and T. Zhang, Acc. Chem. Res., 2013, 46, 1740–1748 CrossRef CAS PubMed.
- P. Song, M. Luo, X. Liu, W. Xing, W. Xu, Z. Jiang and L. Gu, Adv. Funct. Mater., 2017, 27, 1700802 CrossRef.
- C. Cao, S. Zhou, S. Zuo, H. Zhang, B. Chen, J. Huang, X.-T. Wu, Q. Xu and Q.-L. Zhu, Research, 2023, 6, 0079 CrossRef CAS PubMed.
- S. Chen, X. Li, C.-W. Kao, T. Luo, K. Chen, J. Fu, C. Ma, H. Li, M. Li, T.-S. Chan and M. Liu, Angew. Chem., Int. Ed., 2022, 61, e202206233 CrossRef CAS PubMed.
- L. Lin, H. Li, Y. Wang, H. Li, P. Wei, B. Nan, R. Si, G. Wang and X. Bao, Angew. Chem., Int. Ed., 2021, 60, 26582–26586 CrossRef CAS PubMed.
- K. Li, Y. Kuwahara, K. Chida, T. Yoshii, H. Nishihara and H. Yamashita, Chem. Eng. J., 2024, 488, 150952 CrossRef CAS.
- J. Pei, H. Shang, J. Mao, Z. Chen, R. Sui, X. Zhang, D. Zhou, Y. Wang, F. Zhang, W. Zhu, T. Wang, W. Chen and Z. Zhuang, Nat. Commun., 2024, 15, 416 Search PubMed.
- C. Wang, H. Ren, Z. Wang, Q. Guan, Y. Liu and W. Li, Appl. Catal. B Environ., 2022, 304, 120958 CrossRef CAS.
- K. Mou, Z. Chen, X. Zhang, M. Jiao, X. Zhang, X. Ge, W. Zhang and L. Liu, Small, 2019, 15, 1903668 CrossRef CAS PubMed.
- W. Ren, X. Tan, C. Jia, A. Krammer, Q. Sun, J. Qu, S. C. Smith, A. Schueler, X. Hu and C. Zhao, Angew. Chem., Int. Ed., 2022, 61, e202203335 CrossRef CAS PubMed.
- W. Sun, S. Liu, H. Sun, H. Hu, J. Li, L. Wei, Z. Tian, Q. Chen, J. Su and L. Chen, Adv. Energy Mater., 2025, 2500283 CrossRef CAS.
- F. Chang, C. M. Vis, M. Bergmeijer, S. C. Howes and P. C. A. Bruijnincx, ChemSusChem, 2021, 14, 5328–5335 CrossRef CAS PubMed.
- T. Zhang, J. C. Bui, Z. Li, A. T. Bell, A. Z. Weber and J. Wu, Nat. Catal., 2022, 5, 202–211 CrossRef CAS.
- H. Chen, K. Shen, Y. Tan and Y. Li, ACS Nano, 2019, 13, 7800–7810 CrossRef CAS PubMed.
- J. Huang, X. Xiao, S. Xiong, J. Wan and C. Guo, J. Alloys Compd., 2022, 901, 163636 CrossRef CAS.
- R. I. Jibrael and M. K. A. Mohammed, Optik, 2016, 127, 6384–6389 CrossRef CAS.
- B. Das, R. Kundu and S. Chakravarty, Mater. Chem. Phys., 2022, 290, 126597 CrossRef CAS.
- A. Kumar, S. Patil, A. Joshi, V. Bhoraskar, S. Datar and P. Alegaonkar, Appl. Surf. Sci., 2013, 271, 86–92 CrossRef CAS.
- A. Guan, Z. Chen, Y. Quan, C. Peng, Z. Wang, T.-K. Sham, C. Yang, Y. Ji, L. Qian, X. Xu and G. Zheng, ACS Energy Lett., 2020, 5, 1044–1053 CrossRef CAS.
- J. Ma, L. Huang, K. Chen, J. Wang, X. Kang and X. Cao, J. Colloid Interface Sci., 2023, 652, 1734–1742 CrossRef CAS PubMed.
- B. A, X. Jin, M. Wang, Y. Wang, W. Chen, Z. Wei, Z. Du, X. Liu, Y. Wang and L. Zhang, Chem. Eng. J., 2024, 500, 157076 CrossRef CAS.
- Z. Cai, N. Cao, F. Zhang, X. Lv, K. Wang, Y. He, Y. Shi, H. Bin Wu and P. Xie, Appl. Catal. B Environ., 2023, 325, 122310 CrossRef CAS.
- C. Guo, Y. Guo, Y. Shi, X. Lan, Y. Wang, Y. Yu and B. Zhang, Angew. Chem., Int. Ed., 2022, 61, e202205909 CrossRef CAS PubMed.
- Z. Guo, H. Zhu, Z. Yan, L. Lei, D. Wang, Z. Xi, Y. Lian, J. Yu, K. L. Fow, H. Do, J. D. Hirst, T. Wu and M. Xu, Appl. Catal. B Environ. Energy, 2025, 364, 124839 CrossRef CAS.
- X. Jiang, Y. Zhao, Y. Kong, J. Sun, S. Feng, Q. Hu, H. Yang and C. He, Chin. J. Catal., 2024, 58, 216–225 CrossRef CAS.
- J. Zhang, C. Guo, S. Fang, X. Zhao, L. Li, H. Jiang, Z. Liu, Z. Fan, W. Xu, J. Xiao and M. Zhong, Nat. Commun., 2023, 14, 1298 CrossRef CAS PubMed.
- N. Zhang and Y. Zhang, Chem. Eng. J., 2024, 499, 156694 CrossRef CAS.
- S. Hagos, Results Chem., 2023, 5, 100952 CrossRef.
- M. Valvo, J. Thyr and T. Edvinsson, ChemElectroChem, 2023, 10, e202300376 CrossRef CAS.
- C. Long, X. Liu, K. Wan, Y. Jiang, P. An, C. Yang, G. Wu, W. Wang, J. Guo, L. Li, K. Pang, Q. Li, C. Cui, S. Liu, T. Tan and Z. Tang, Sci. Adv., 2023, 9, eadi6119 CrossRef CAS PubMed.
- W. Wu, K. Bhattacharyya, K. Gray and E. Weitz, J. Phys. Chem. C, 2013, 117, 20643–20655 CrossRef CAS.
- X. Kong, J. Zhao, J. Ke, C. Wang, S. Li, R. Si, B. Liu, J. Zeng and Z. Geng, Nano Lett., 2022, 22, 3801–3808 CrossRef CAS PubMed.
- J. Gao, H. Zhang, X. Guo, J. Luo, S. M. Zakeeruddin, D. Ren and M. Grätzel, J. Am. Chem. Soc., 2019, 141, 18704–18714 CrossRef CAS PubMed.
- M. Moradzaman and G. Mul, ACS Catal., 2020, 10, 8049–8057 CrossRef CAS.
- D. Zhong, Q. Fang, R. Du, Y. Jin, C. Peng, D. Cheng, T. Li, T. Zhao, S. Zhang, Y. Zheng, Q. Zhao, Y. Sun and J. Li, Angew. Chem., Int. Ed., 2025, 64, e202501773 CrossRef CAS PubMed.
- S. J. Raaijman, M. P. Schellekens, P. J. Corbett and M. T. M. Koper, Angew. Chem., Int. Ed., 2021, 60, 21732–21736 CrossRef CAS PubMed.
- J. Liu, P. Li, J. Bi, S. Jia, Y. Wang, X. Kang, X. Sun, Q. Zhu and B. Han, J. Am. Chem. Soc., 2023, 145, 23037–23047 CrossRef CAS PubMed.
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