Recent progress in advanced core-shell metal-based catalysts for electrochemical carbon dioxide reduction

Fengqi Wang Wenlong Zhang Hongbin Wan Chenxi Li Wankai An Xia Sheng Xiaoyu Liang Xiaopeng Wang Yunlai Ren Xin Zheng Dongcan Lv Yuchen Qin

Citation:  Fengqi Wang, Wenlong Zhang, Hongbin Wan, Chenxi Li, Wankai An, Xia Sheng, Xiaoyu Liang, Xiaopeng Wang, Yunlai Ren, Xin Zheng, Dongcan Lv, Yuchen Qin. Recent progress in advanced core-shell metal-based catalysts for electrochemical carbon dioxide reduction[J]. Chinese Chemical Letters, 2022, 33(5): 2259-2269. doi: 10.1016/j.cclet.2021.08.074 shu

Recent progress in advanced core-shell metal-based catalysts for electrochemical carbon dioxide reduction

English

  • As the development of industry and society, the consumption of fossil fuels has increased seriously [1-5], resulting in excessive CO2 emission [6-11]. The concentration of CO2 has reached 412 ppm in 2020, which is higher than the safe limit of 350 ppm [12-15], leading to a series of environmental problems [16, 17]. Therefore, the efficient means of CO2 conversion have been eagerly desired [18-21]. In recent years, electrochemical carbon dioxide reduction (CO2RR) has attracted wide attention due to the lower energy consumption and environment friendly processes [22, 23]. Metal-based nanostructures are generally employed as catalysts for electrochemical CO2RR. Although many efforts have been paid, the performance of CO2 conversion and product selectivity are still unsatisfactory. The chemical stability of CO2 leads to the high energy needed to activate CO2 molecule, which is blocking the performance of CO2 conversion. In addition, a wide variety of reduction products could be achieved owing to the multi-electron transfer mechanism of CO2RR, resulting in the lower selectivity. Therefore, many researchers focus on the preparation of advanced metal-based catalysts to boost the activity and selectivity of electrocatalytic CO2RR [24].

    Recently, metal-based electrocatalysts with core-shell structure (CMCs) have exhibited great potential in electrochemical CO2RR. For instances, Wu et al. utilized the non-classical epitaxial growth mediated by bromine anions (Br) to synthesize Pd@Ag cubes with Faraday efficiency (FE) of carbon monoxide (CO) as high as 85% at −0.8 V vs. reversible hydrogen electrode (RHE) in 0.5 mol/L KHCO3, which is much higher than the counterparts of Pd octahedron, Ag nanoparticles and Pd-Ag nanoalloys [25]. Chloroplast-like porous bismuth-based core-shell (CPBC) materials present remarkable FEformate > 94% with high catalysis durability (> 72 h) [26]. Based on their various structures, CMCs can be divided into solid core-shell structure and heterogeneous hollow structure, among which heterogeneous hollow structure includes yolk-shelled structure (solid inside) and interlayer-hetero hollow multi-shelled structure (hollow inside). The core-shell structure generally has a strong synergistic effect. Moreover, based on the lattice mismatch of the shell atoms and the core atoms, core-shell structure can produce strain effect and interfacial effect, which is beneficial to tune the electronic structure of catalysts and boost the CO2RR performance. It is well known that metal nanoparticles (NPs) such as Au, Ag and Pd have excellent catalytic activity for electrocatalytic CO2RR, while these metals are expensive and not suitable for large-scale applications. Fabricating CMCs could reduce the amount of noble metals, which is beneficial to reduce the cost and the large-scale production of catalyst. A stable Au-Fe core-shell nanoparticle (AuFe-CSNP) that is nearly 100 times more reactive to CO2 reduction than Au NPs at a much lower cost. Additionally, owing to the various combination of core and shell components, CMCs can flexibly integrate many functions and play important roles in the many reactions, including electrochemical reduction of CO2.

    Herein, we summarize the recent developments of CMCs for electrochemical CO2RR. First, the mechanism and evaluation parameters of electrocatalytic CO2RR are discussed. Then, the preparation methods and structural advantages of CMCs are evaluated. Based on an in-depth understanding of mechanism and structural advantages, the advanced CMCs for electrochemical CO2RR are reviewed according to the composition of the core and shell. Finally, a brief summary and several opportunities and challenges are provided for the development of electrochemical CO2RR.

    The C=O bond (750 kJ/mol) is more than twice the energy of the C−C bond (336 kJ/mol) and the C−O bond (327 kJ/mol) [27]. CO2 is a linear molecule composed of two C=O molecules [28], resulting in the chemically stable. Electrocatalytic CO2RR involves multi-electron or proton transfer steps, and the whole reaction can be roughly divided into three steps. In the first step, CO2 molecules are briefly attached to the catalyst surface and then the atoms interact with each other. The second step is activating CO2 to CO2·− by one electron transfer, which is the key process of CO2 reduction. Then, CO2·− can be easily attached on the surface of catalysts and undergo further reactions. The formation of chemical bonds between CO2 molecules and suitable electrocatalysts can stabilize CO2·− radical or reaction intermediates, which can reduce the negative redox potential and ultimately promote the reduction of CO2 to other substances. As shown in Fig. 1, CO2·− could be further reduced to CO or other products through different electron transfer pathways. Excessive accumulation of reduction products on the surface will hinder the adsorption of new CO2 molecules and affect the continuous process of subsequent reactions. Moreover, when the reduction product is CO, the accumulation of CO on the surface of the catalyst will poison the catalyst and eventually lead to the loss of catalytic activity. Therefore, the third step is desorption of reduction products from the catalysts, which plays an important role in the catalytic stability.

    Figure 1

    Figure 1.  Reaction mechanism diagram of CO2 reduction to different products. The gray, red, and white spheres represent C, O, and H atoms, respectively. And the orange box, the green box, the blue box, and the yellow box are C1 products, C2 products, C3 products, and by-products.

    The reduction products generated by electrocatalytic CO2RR in aqueous solution are different with different electron transfer numbers. Table 1 shows the half electrochemical thermodynamic reactions of the common C1 and C2+ reduction products, their corresponding reduction potentials vs. standard hydrogen electrode (SHE) and the number of electrons transferred. The reaction products are closely related to the adsorption strength of CO at the active site of catalyst. When the CO intermediate is weakly adsorbed on the catalyst, it will desorb and become the main reduction product; when it adsorbs strongly on the catalyst (such as Pt or Pd), it will poison the surface of the catalyst. An intermediate strength of adsorption of CO results in the formation of hydrocarbons and oxygenates. The generation of advanced reduction products is generally divided into two steps: CO2 is electrically reduced to CO, and then the bimolecular CO is electrically reduced to other advanced organic molecules. The occurrence of the second step reaction is closely related to the nature of the catalyst, local pH, electrolyte, temperature, the concentration of CO2 and CO. The high overpotential associated with adverse thermodynamics and low FE of specific products are the biggest challenges for CO2RR. The lattice mismatch between core and shell in the CMCs can be used to shift the d-band center of surface elements, leading to affect the adsorption strength of various intermediates. Therefore, core-shell catalysts can be used to improve the FE of specific products by reducing overpotential or creating new reaction pathways. Because of its unique structural composition, CMCs are easier to reduce CO2 to higher C2+ products. In addition, it should be noted that hydrogen evolution reaction (HER) [29-31] generally is regarded as the primary competitive reaction for CO2 reduction, which seriously affects the performance of CO2 reduction.

    Table 1

    Table 1.  Standard hydrogen electrode to convert CO2 to various C1 and C2+ products at pH 0, 1.0 bar, and 25 ℃ in aqueous solution.
    DownLoad: CSV

    In the electrocatalytic CO2RR, the evaluation parameters of CO2RR performance are mainly concerned with the following four aspects: FE, current density, turnover number (TON) and turnover frequency (TOF).

    FE refers to the ratio of the amount of electric energy transferred to produce a specific product to the total amount of electric energy transferred, which reflects the selectivity to a specific product. The formula for FE is as follows Eqs. 1–3:

    (1)

    (2)

    (3)

    where α refers to the number of electrons transferred by the reaction, np refers to the number of moles of the reduction product, F refers to the Faraday constant, and Q is the total passed charge. FEgas and FEliquid are the FE of gas products and liquid products respectively. ppm is the concentration of the gas products, CCO2 represents the flow rate of CO2, t is the reaction time, Vliquid, ρliquid, and Mliquid refer to the volume, density, and relative molecular weight of the liquid product respectively [32].

    Current density refers to the amount of electricity that passes over the catalyst per unit surface area (the electrochemical surface area) per unit time, which reflects the kinetic rate of electrochemical transformation Eq. 4 [33].

    (4)

    where, ji is the current density of the target product, jtotal is the total current density of the reaction, and FEtarget is the FE of the target product.

    The activity of electrocatalyst can be judged by TON and TOF in the field of electrocatalytic CO2RR, and the calculation formula of the two is as follows Eq. 5 [34]:

    (5)

    where np is mole of the target product, nc is moles of catalyst, and t is the reaction time.

    The structure and components of CMCs are important for their catalytic performance. Therefore, it is necessary to confirm the structure and components of CMCs. Scanning Electron microscopy (SEM) and transmission electron microscopy (TEM) are the most commonly employed means of object structure analysis. SEM is to scan the surface of bulk samples with a focused low-energy electron beam, and then the surface morphology and crystal orientation of the catalyst can be obtained. TEM is to irradiate a thin film sample which can pass through electrons with parallel high-energy electron beam. The electron diffraction pattern of crystal structure information and high-resolution image reflecting the internal structure of the sample can be obtained. Inductively coupled plasma optical emission spectrometer (ICP-OES), X-ray photoelectron spectroscopy (XPS) and Energy dispersive X-ray spectroscopy (EDS) could be used to analyze the composition of samples. ICP-OES, also known as ICP-AES, is an atomic emission spectrometry method using inductively coupled high frequency plasma torch as excitation light source to qualitatively and quantitatively analyze more than 70 metal elements and some non-metal elements in samples. ICP-OES can simultaneously analyze both constant and trace components without complicated two-way observation, which has the advantages of rapidity and wide linear range. XPS tests the valence state and element content of the substance about 10 nanometers on the surface of the object, while EDS cannot measure the valence state and the depth of the test is tens of nanometers to a few microns, so basically it can only make qualitative analysis rather than quantitative analysis of the element content on the surface. X-ray diffraction (XRD) is normally applied to analyze the crystal structure of catalysts. According to the XRD pattern, the sample information, such as amorphous or crystalline, phase composition and crystal cell expansion or contraction, can be obtained.

    Wet chemical method [35] is the main method for the synthesis of CMCs owing to the simple operation and large-scale production [36]. This preparation method could be divided into one-step [37, 38] and multi-step. Up to now, a large number of CMCs have been prepared by wet chemical method and several representative CMCs synthesized through one-step and multi-step methods have been listed in the following Table 2 [32, 33, 39-61].

    Table 2

    Table 2.  Representative CMCs prepared by wet chemical method.
    DownLoad: CSV

    Tandem catalysis: Tandem catalysis refers to two or more continuous catalytic reactions in a reactor that eventually produce the target product, in which the product of the previous step will be the reactant of the next step (Fig. 2) [62, 63]. As Le Chatelier's Law [64] shown, the continuous consumption of the products of the previous step will accelerate the reaction rate. There are three essential factors for tandem catalysis. First, different catalytic sites should be arranged in a specific order, that is, the order of each reaction is fixed and cannot be confused or reversed. Second, the distance between different catalytic sites should be close enough or even direct contact, which is the key to ensure the occurrence of tandem catalysis. Third, the compatibility of different catalytic sites should be considered to prevent these active sites from reacting with each other and interfering with tandem catalysis [65]. The core-shell structure with different inner and outer components is very suitable for multiphase tandem catalysis, especially the interlayer-hetero hollow multi-shelled structure is considered to have great application potential in multiphase tandem catalysis [66]. Besides, CMCs could be employed as an excellent tandem catalyst owing to close distance with unreactive properties of core and shell. These unique structural features well meet the requirements of tandem catalysis. For instance, Zhang et al. prepared Au@Cu2O yolk-shell NPs as tandem catalysts for electrochemical CO2RR. In this catalyst, CO2 could be reduced to CO on Au core, and then further reduced to ethanol on the Cu2O shell, which improves the activity and selectivity of electrochemical CO2RR to ethanol at a lower electric potential through tandem catalysis [54]. Iyengar et al. reported FEs for gaseous and liquid products of Cu-Ag, Cu and Ag catalysts at different potentials in order to demonstrate the role of tandem catalysis in Cu-Ag catalysts [67]. In the range of −1.1 ~ −1.4 VRHE, Cu-Ag catalyst has smaller FEH2 and FECO than pure Cu nanocrystals and pure Ag nanocrystals, and gradually becomes smaller with more negative potential, which is related to the tandem catalysis. The efficiency of Cu-Ag catalyst for CO conversion is improved, and the effectiveness of tandem catalysis mechanism is also enhanced.

    Figure 2

    Figure 2.  Schematic diagram of tandem catalysis mechanism of CMCs.

    Lattice strain effect: Lattice strain refers to the deviation from the equilibrium spacing between atoms in the crystal lattice of core shell catalysts [68-71]. The core-shell catalysts may have compression or tensile strain owing to the mismatch between core atoms and shell atoms, which could tune the electronic structure of catalysts and affect the catalytic properties. For example, the binding of *COOH is enhanced on Au60Pd40@Pd due to the strain effect between Au and Pd. Therefore, the activation of CO2 to *COOH is easier to reach 0.10 eV than on pure Pd [43]. Shao et al. synthesized twisted Pd0.8Au@Pd nanowires (NWs) through a self-assembly strategy. Due to the tensile strain and the ratio of Pd to Au, Pd0.8Au@Pd showed superior specific activity and mass activity of CO. The highest selectivity of FE was 94.3% at a relatively low overpotential (−0.6 V) [44].

    Interface effect: Compared with traditional mono-component materials, CMCs have special interfaces, and the synergistic effect of these interfaces can improve the catalytic performance of the catalysts. Zhang and his coworkers synthesized core/shell Co2P/Pt nanorods (NRs) via a seed mediated method, and proved that Co2P(001)/Pt(111) interface had the best ORR catalytic performance and Co2P(010)/Pt(111) had the worst ORR catalytic performance by density functional theory (DFT) calculation [72]. Qi et al. confirmed that excellent selectivity of Au@CeO2 CMCs is owing to the interface effect between Au (core) and CeO2 (shell) [73]. Reasonable use of the interface effect of CMCs is beneficial to the preparation of high-performance catalysts and reduces unnecessary waste at the same time.

    Defect engineering: Defects are technically defined as distortions in the periodic structure of the full crystals [74-76]. It can be divided into volume defects and surface defects [77]. According to the previous reports, surface defects such as vacancy and doping could be constructed on CMCs, which are helpful to the enhancement of catalytic properties. Wang and co-workers prepared In-doped Cu@Cu2O catalyst by co-electrodeposition. The FE of CO reaches to 87.6% ± 2.2%, which is far higher than that of other copper-based catalysts [60]. Sargent and co-workers synthesized Cu2S@Cu core-shell catalysts by taking advantage of the vacancy defect of the sulfur atom in the core of Cu2S and the copper atom in the shell to change the C2 reaction path and improve the FE of the reaction product polyols in the electrocatalytic CO2RR [40].

    Stability: As is well-known, the surface energies of catalysts increase significantly as the decrease of size. Therefore, agglomeration of nanoparticles is easy to occur in electrochemical reactions, resulting in the rapid loss of active sites. Fabricating catalysts with core-shell structure could be an effective method to prevent the agglomeration and improve the stability of catalysts. In CMCs, the internal active sites can be well protected by shell, which are employed as the physical barrier to hinder the loss and agglomeration of active sites, increasing the catalytic stability. For instance, monolithic nanoporous core-shell structured AuCu3@Au catalysts, of which FECO was 97.27% at a partial current density of 5.3 mA/cm2 at −0.6 V vs. RHE, were prepared by oxidizing etching Au20Cu80 alloy by An and co-workers [78]. The total current density on the catalyst remains about 10 mA/cm2 even after electrolysis at −0.7 V for 100 h, indicating the AuCu3@Au catalysts are very stable. Zhang et al. synthesized Cu2O-SnO2 core-shell electrocatalysts with shell thickness of 5 nm by adjusting the content of tin precursors. The FECO is more than 90% at a low overpotential of 390 mV. The catalyst showed superior stability over 18 h at −0.6 V vs. RHE in 0.5 mol/L KHCO3 electrolyte [61].

    CMCs generally exhibit superior catalytic properties of electrochemical CO2RR due to their unique structural advantages discussed above [79-82]. In this section, the advanced CMCs towards electrochemical CO2RR are evaluated according to the composition of core and shell.

    Several metal nanostructures such as Au [81-86], Ag [42, 58, 87] and Pd [41, 44, 88-90] show excellent catalytic activity of electrocatalytic CO2RR [91], but the main product is CO. Other metal nanostructures such as Cu, Bi could provide various reduction products [92, 93], but the ability of CO2 conversion is limited. Therefore, preparing core-shell catalysts with various metals could take the core-shell structural advantages and provide a promising means to enhance the performance of electrochemical CO2RR [94-103]. Sun et al. obtained AuFe-CSNP through leaching out surface Fe of AuFe-CSNP during the electrochemical reduction process (Figs. 3a and b) [48]. Fig. 3c shows the model diagram of the CO2RR process of Au-mental (M) catalyst. According to the calculation of silico quantum mechanics rapid screening (QM-RS), Au-Fe alloys have a low *COOH formation energy (0.46 eV) and CO desorption energy (0.17 eV). Therefore, Au-Fe alloys are considered to have the potential to improve CO2 reduction performance. As predicted by the calculation results, AuFe-CSNP exhibits superior mass activity of 48.2 mA/mg towards electrochemical CO2RR, which is approximate 100 times higher than Au NPs. To estimate the effect of Fe leaching on CO2RR, Au atom on the surface is further removed to produce Schottky defects. Based on the DFT calculations, the surface defects can reduce the formation of *COOH by 0.19 eV, which confirms that the Schottky defect has a great impact on the catalytic performance of AuFe-CSNPs (Fig. 3d). It demonstrates that the superior activity could be attributed to the defects caused by the surface Fe leaching. Zhu et al. prepared AuPd-CSNP by one-pot synthesis method, and the FECO reached 96.7% at −0.6 V [43]. Through high-angle annular dark field- scanning transmission electron microscopy (HAADF-STEM) and X-ray energy dispersive spectrometry (XEDS) mapping, the element composition and distribution of Au60Pd40-CSNP and Au94Pd6-CSNP can be clearly observed (Figs. 4a and b). The atomic model diagrams of m-Au, m-Pd, m-Au60Pd40, m-Au75Pd25 and m-Au94Pd6 are shown in Fig. 4c. Moreover, it is obvious that when Au: Pd = 94:6, the Pd shell will not be observed by XEDS mapping. In Au, Pd and AuxPd100-x NPs, the selectivity of CO increases with the increase of Au content (Fig.s 4d-g). The mass activity and specific activity of Au94Pd6-CSNP are higher than other catalysts at −0.9 V to −0.4 V. Figs. 4h and i are the model catalysts with Au: Pd = x: (100 – x), which can be abbreviated as m-AuxPd100-x. The surface of pure Au has a very high free energy barrier (~0.98 eV) for the formation of *COOH intermediate, whereas the thermodynamic barrier of pure Pd is much smaller (~0.18 eV). It can be obtained from Fig. 4h that the activation of CO2 to *COOH by m-Au60Pd40 is 0.10 eV easier than that of pure Pd, which is partly because of strain and ligand effect between Au and Pd, and synergistic results of *COOH coordination changes. In addition, Pd and Au will receive electrons after alloying, and then will lead the downshift of d-band center, but the tensile strain will make d-band center upshift. The overall contribution of these two effects makes the d-band center of Pd upshift to the Fermi energy level and enhance the adsorption of *COOH. Therefore, m-Au94Pd6 surface has the highest *COOH free energy among all the bimetallic surfaces and low HER competition (Fig. 4i). Liu et al. employed polyol reduction combined with PVP ligand orientation to deposit Au on Ag NWs for the preparation of Ag@Au NWs (Fig. 5a) [49]. As shown in Figs. 5bd, Ag@Au0.5 NWs show the superior catalytic activity and highest FECO (Fig. 5b). Moreover, Ag@Au0.5 NWs have different CO selectivity at various potentials in CO2-saturated 0.1 mol/L KHCO3 and CO2-saturated 0.1 mol/L KCl electrolyte (Fig. 5e). CO2-saturated 0.1 mol/L KHCO3 as a buffer solution can maintain a neutral environment, while the pH of CO2-saturated 0.1 mol/L KCl electrolyte will rise as the reaction proceeding, thus inhibiting HER. Additionally, the strong interaction between CO2 and Cl improves the ability of CO2 capture, resulting in the higher catalytic performance of Ag@Au0.5 NWs in 0.1 mol/L KCl solution (Figs. 5f and g).

    Figure 3

    Figure 3.  (a) Schematic synthesis diagram of AuFe-CSNP. (b) TEM and HRTEM images and element map of AuFe-NPs and AuFe-CSNP, respectively. The green part is Au and the red part is Fe in the element map. (c) The CO2RR reaction steps on Au-M binary alloys include the physical adsorption of CO2, *COOH, *CO and *(* stands for surface site). The yellow, green, silver, red, and white balls represent Au, M, C, O, and H, respectively. (d) l-CO2 and *COOH are on the surface with vacancies. Formation energy diagram of *COOH generated by Au, AuFe-CSNP and AuFe-CSNP with vacancies (AuFe-CSNP-v) in CO2RR. Reproduced with permission [48]. Copyright 2017, American Chemical Society.

    Figure 4

    Figure 4.  (a) Schematic illustration of CO2RR mechanism in the Au-Pd core-shell structure. (b) Au60Pd40 NPs of STEM-HAADF, XEDS element mapping and HAADF images. Au94Pd6 NPs of STEM-HAADF, XEDS element mapping, and color HAADF images. The green lines represent the Au atoms isolated from the surface of Au94Pd6 NPs. (c) Configurations of m-Au, m-Pd, m-Au60Pd40, m-Au75Pd25, and m-Au94Pd6 slab models, and the surface element segregation pattern of m-Au94Pd6 from the top view. The images above are the bulk structure, and the images below are the structure after the surface replacement. FE of CO2 reduction to (d) CO and (e) H2 on Au, Pd and AuPd alloy catalysts with different contents, and (f) mass and (g) specific activity of Au, Pd and AuPd alloy catalysts with different contents for CO production. Gibbs free energy diagrams of the reaction paths of (h) CO2RR and (i) HER on different slab model catalysts. Reproduced with permission [43]. Copyright 2019, Royal Society of Chemistry.

    Figure 5

    Figure 5.  (a) Schematic diagram of synthesis of Ag@Au NWs. (b) FECO of different catalysts at different potentials. (c) CO partial current density of different catalysts at different potentials. (d) Tafel slope of different core-shell electrocatalysts. (e) FECO of Ag@Au0.5 electrocatalyst in 0.1 mol/L KCl and 0.1 mol/L KHCO3 solutions. (f) Stability test of Ag@Au0.5 catalyst at −1.14 V (vs. RHE). (g) electrochemical impedance spectroscopy (EIS) data of different core-shell electrocatalysts. Reproduced with permission [49]. Copyright 2019, Wiley-VCH.

    Recently, metal and metal oxide heterostructures [104, 105] exhibit great potential in electrochemical CO2RR owing to the interface effect and tandem catalysis [94, 106-108. Fabricating metal and metal oxide catalysts with core-shell structure can remarkably enhance the performance of electrochemical CO2RR. Wesley et al. prepared AgSn/SnOx NPs though galvanic displacement process, which had an Ag-Sn bimetallic core and an ultra-thin partially oxidized SnOx shell (Figs. 6a and b) [109]. In this catalyst, the Ag-Sn core is responsible for the high electronic conductivity and SnOx shell can provide an excellent activity of CO2 conversion. Owing to the unique structure, AgSn/SnOx shows superior CO2RR performance. The FE of formate reaches to ~80% and the formate partial current density is ~16 mA/cm2 at −0.8 V vs. RHE. Though investigating a series of Ag-Sn catalysts with various Ag/Sn compositions, a structure-activity relationship between the AgSn/SnOx core-shell structure and CO2RR performance is established and found the optimal thickness of SnOx shell is 1.7 nm (Fig. 6c). Moreover, according to the DFT calculations, the outstanding catalytic performance of AgSn/SnOx should be attributed to oxygen vacancies on SnO (101) surface, which is favorable for stabilizing OCHO*, the key intermediate for the HCOOH (Figs. 6d and e). Wang et al. obtained Cu-SnO2 catalysts with three different structures and phases by thermal annealing of CuSn core-shell NPs at various conditions [110]. Among them, CuO/hollow SnO2 heterostructure shows excellent performance of electrochemical CO2RR (Fig. 7a and b). It can tune the products from CO to HCOOH with a high FE at ~70% by simply tuning the electrolysis potentials. This promising catalytic properties of CuO/hollow SnO2 heterostructure can be attributed to the abundant Cu/SnO2 interfaces, which can decrease ΔG for the formation of *COOH species (Fig. 7c). CuSn NPs/C-A has the highest CO selectivity (FECO = 70.1%) and the highest current density (1.66 mA/cm2) at the potential of −0.7 V vs. RHE, and CuSn NPs/C-A has the highest HCOOH selectivity (FECO = 71.5%) and the highest current density (12.6 mA/cm2) at the potential of −1.0 V vs. RHE (Fig. 7d). Li et al. demonstrated a new strategy to selectively achieve CO2 reduction products through tuning synergistic effect between Cu and SnO2 in Cu@SnO2 [111]. They found that the product was closely related to the thickness of SnO2. The reduction product is formate when the thickness of SnO2 is ~1.8 nm, while changes to CO with FE of ~93% as the thickness of SnO2 decreases to 0.8 nm. Based on the DFT calculations [112, 113], the co-existence of the compressive strain and Cu doped on 0.8 nm SnO2 shell makes the free energy of CO formation lower than that of formate formation, resulting in the favorite production of CO over formate (Fig. 7e). Ye et al. fabricated hierarchical Sn2.7Cu core with amorphous SnOx shell through one-step electrodeposition [45]. During the electrochemical CO2RR process, SnOx shell can be in situ reconstructed to Sn/SnOx interface, which is demonstrated by in situ extended X-ray absorption fine structure (EXAFS) and structural examinations. According to the theoretical calculations, the in situ reconstructed Sn/SnOx interface plays a crucial role in facilitating formic acid production though optimizing the binding of intermediate HCOO*, resulting in the high FE of C1 products.

    Figure 6

    Figure 6.  (a) Synthesis diagram of Ag3Sn/SnOx core-shell structure. (b) HAADF-STEM image and electron energy-loss spectroscopy (EELS) of Ag76Sn24/SnOx catalyst. (c) FE diagram of CO2 reduction products catalyzed by AgSn /SnOx catalysts at different concentrations of Sn. (d) The free formation energies of oxygen vacancy (Ov), hydroxyl from H+ reduction (-(O)H*), and asymmetric hydroxyls (asym 2OH*) from chemical water dissociation on the SnO as a function of potentials vs. RHE. (e) The advantageous free energy pathways for CO2 reduction to CO and HCOOH on SnO. Reproduced with permission [109]. Copyright 2017, American Chemical Society.

    Figure 7

    Figure 7.  (a) TEM image, atom model and (b) HAADF-STEM image of CuSn NPs. Scale bars, 20 nm in a, 100 nm in b. (c) Free energy distribution of two paths of CO2RR over Cu/SnO2 catalyst. The figures above and below show the geometrical structures of different states (*COOH, OCHO* and *CO) at the Cu/SnO2 interface. Green, gray, red, reddish-brown, and dark gray spheres represent H, C, O, Cu, and Sn atoms, respectively. (d) FE diagrams of CO, H2 and HCOOH and current density diagrams of CO and HCOOH for different catalysts at −0.7 VRHE and–1.0 VRHE. Reproduced with permission [110]. Copyright 2018, Springer Nature. (e) The free energy diagrams of the two reaction paths when Cu/SnO2 catalysts are 1.8 nm-SnO2 shells, 0.8 nm-SnO2 shells with 10% uniaxial compression, and 0.8 nm-SnO2 shells with 2 Cu atoms on the surface and 0.8 nm-SnO2 shells with 2 Cu atoms on the surface and 10% uniaxial compression. Reproduced with permission [111]. Copyright 2017, American Chemical Society.

    In addition to metal oxides, core-shell structures composed of other metal compounds [112-117] also show excellent performance and great application potential in electrocatalytic CO2RR. Li and co-workers prepared Ag@AgClx nanowire arrays by using low-temperature nanoimprinting technique and electrochemical reduction (Figs. 8a and b) [52]. The Ag@AgClx nanowire arrays have excellent catalytic activity of CO2RR. The CO current density is up to 5.27 mA/cm2 at −0.6 V vs. RHE, which is mainly attributed to the strong electron coupling between AgClx shell and Ag core and superior CO2 activation capacity of AgClx shells. Fig. 8c shows the change of free energy when CO2RR occurs on (111) and (211) surfaces of crystalline silver chloride, and Cl modified Ag (111) [Ag(111)_Cl] and (211) surfaces [Ag(211)_Cl], which can indirectly reveal the reason that determines the superior catalytic activity of AgClx shell. It can be concluded that Ag (111)_Cl and Ag(211)_Cl are more conducive to the adsorption of *COOH. In addition, Ag on the surface is low coordination, which is easier to combine with *COOH. Cheng et al. designed a Fe-N-C nanofiber (Fe-N/CNF), which is a core-shell structure composed of the iron nitride (FexN) NPs encapsulated by Fe and N co-doped carbon layers (FexN@Fe-N-C) [53]. The synthetic steps of FexN@Fe-N-C are complex, including electrospinning, carbonization, acid leaching and nitriding under NH3. Among them, the nitriding time could affect the formation of core-shell structure. The nitriding time was selected as 10, 20 and 40 min, denoted as Fe-N/CNF-x (x = 1, 2 and 4). Fe-N/CNF-2 has excellent catalytic performance (Fig. 8d), the current density has been maintained at value of about 4.5 ± 0.4 mA/cm2, FECO fluctuates around 94%. The excellent performance could be attributed to that iron nitride can promote the intermediate desorption of CO from Fe and N doped shells, thus improving the catalytic performance of CO2.

    Figure 8

    Figure 8.  (a) Schematic diagram of Ag@AgClx nanowire array for CO2RR. (b) SEM images of Ag NWs and Ag@AgCl core-shell NWs, the illustration is side view SEM image of the nanowire array. The free energy changes of the CO2RR of (c) Ag (111), Ag (111)_Cl, Ag (211) and Ag (211)_Cl, and the atomic model diagram of the intermediates are shown at the bottom. Ag and Cl are represented by blue and green atoms. Reproduced with permission [52]. Copyright 2019, American Chemical Society. (d) Current density and FE changes of Fe-N/CNF-2 in CO2 reduction at −0.53 V for 24 h. Reproduced with permission [53]. Copyright 2018, American Chemical Society.

    Reduction products with high carbon numbers possess higher commercial value than C1 products, but are also more difficult to obtain [118-126]. Kim et al. synthesized crystalline/amorphous (C/A) Ni2P@Ho2O3 core shell NPs (CSNPs) by depositing an amorphous Ho2O3 shell on the surface of Ni NPs (Fig. 9a). Fig. 9b shows the element mapping of C/A Ni2P/Ho2O3 CSNPs. And the FEacetone of C/A Ni2P@ Ho2O3 is up to 25.4% [51]. The excellent catalytic performance is mainly attributed to its heterostructure. Deng and co-workers synthesized a sheet-like open nanostructure with Ni nanoparticle wrapped by Ni-N species exposed carbon layer (Ni-NC@Ni) through a low-temperature (450 ℃) chemical vapor deposition strategy (Fig. 9c) [33]. Ni-NC@Ni electrocatalyst has many advantages, such as the isolated Ni-N species (~4.23 at%) providing the active site for CO2RR, the open nanostructure of the sheet enlarging the contact area with the electrolyte/reactants, and the Ni nanoparticle core wrapped in the carbon shell acting as an excellent conductor to enhance electron transport. Therefore, Ni-NC@Ni exhibits superior CO2RR performance. The FECO is about 87% at 670 mV and the current density is up to 14.8 mA/cm2 with a long-term stability of more than 150 h (Fig. 9d). Sargent and co-workers synthesized Cu2S@Cu-V (V stands for vacancy) NPs (Fig. 10a), which can alter the C2 reaction pathway by shifting selectivity away from ethylene and towards multi-carbon alcohols [40]. The S atom is introduced to produce vacancy defects on the surface of Cu. This kind of core-shell catalyst with vacancy defects is called core-shell-vacancy engineering (CSVE) catalyst, which can effectively reduce CO2 to multi-carbon alcohols. Fig. 10b shows the FE of multi-carbon alcohols such as ethanol and propanol catalyzed by CSVE, and Fig. 10c shows the FE of multi-carbon alcohols and ethylene on different catalysts. With the further research on electrocatalytic CO2RR, more electrocatalyst synthesis methods have been developed.

    Figure 9

    Figure 9.  (a) Schematic diagram of synthesis of C/A Ni2P/Ho2O3 CSNPs. OA, NDs stand for oleic acid, nanodisks. (b) Element mapping of each element of C/A Ni2P/Ho2O3 CSNPs. Reproduced with permission [51]. Copyright 2020, American Chemical Society. (c) Schematic formation diagram of Ni-NC@Ni catalyst. (d) Stability of the Ni-NC@Ni for CO2 reduction operated at potentiostatic mode of −0.78 V vs. RHE for 150 h with a 0.3 × 0.8 cm2 working electrode. The black line corresponds to the current density, and the red dot corresponds to the FE. Reproduced with permission [33]. Copyright 2020, Elsevier.

    Figure 10

    Figure 10.  (a) Schematic diagram of the CO2RR process occurring on Cu2S-Cu-V CSVE electrocatalyst. (b) FE of ethanol and propanol over CSVE catalyst at current density of 200–600 mA/cm2. (c) FE of multi-carbon alcohols and ethylene on different catalysts at −0.95 V vs. RHE. Reproduced with permission [40]. Copyright 2018, Springer Nature.

    Global warming and energy crisis have been increasing seriously with the development of industry. Recently, electrochemical CO2RR provides a promising means for CO2 recycling and attracts wide attention. In this review, we focus on the advanced metal-based catalysts with core-shell structure towards electrochemical CO2RR. The preparation methods and structural advantages of CMCs are discussed as well as the mechanism and evaluation parameters of electrochemical CO2RR. Recent progresses in CMCs for electrocatalytic CO2RR have been reviewed, with emphasis on the role of core-shell structure played in electrochemical CO2RR. Although several significant advances have been achieved, the catalytic ability of CMCs for electrochemical CO2RR is still unsatisfactory. Therefore, several challenges and opportunities are proposed based on our limited knowledge.

    Multi-carbon products: Electrocatalytic CO2RR can reduce CO2 to a variety of products under mild reaction conditions, such as CO, formaldehyde, methane, ethylene, acetone. However, it is very difficult to obtain high selectivity for a specific product, especially for C2 and other multi-carbon products. Therefore, improving the selectivity of multi-carbon reduction products is a great challenge of electrochemical reduction of CO2.

    Tandem catalysts: Tandem catalysis is a promising strategy to obtain C2+ reduction products of CO2RR. Various metals have different catalytic properties of electrochemical CO2RR. For example, Au shows the highest activity of CO2 reduction due to the weak Au−CO binding energy, but the products are mainly CO. Cu exhibits lower activity, but the products are various including hydrocarbons and oxygenates owing to the intermediate CO binding energy. Therefore, constructing CMCs as tandem catalysts to tune the CO binding energy and reaction process provides a promising means to enhance the activity and selectivity of electrocatalytic CO2RR.

    Phase engineering: Phase structure is one of the most significant structural parameters and has important influences on the catalytic property of catalysts. Especially, the unconventional phases of metal elements generally endow them with wondrous catalytic properties. For instance, Au NPs with 4H phase delivery a higher activity and ethylene selectivity in electrochemical CO2RR compared to the traditional face center cubic (fcc) Au [127]. Ru NPs with fcc phase also exhibit superior electrocatalytic properties in many reactions than conventional (hexagonal close packed) hcp Ru catalysts [128]. Therefore, fine tuning the phase structure of metals in CMCs exhibits great potential for boosting the performance of electrochemical CO2RR.

    Further reveal the catalytic mechanism: Electrochemical CO2RR is a complex multi-electron reaction. Through several in-situ characterizations to further investigate the electrocatalytic mechanism of CO2RR plays crucial roles in the enhancement of catalytic properties. In-situ synchrotron radiation technologies and in-situ HRTEM can be employed to detect the changes in geometric and electronic structure of catalysts. In-situ Raman spectra and in-situ FT-IR spectra could be used to monitor the changes in the whole CO2RR process. In general, we believe that more advanced electrocatalysts for CO2RR could be achieved through a deeper understanding of mechanism and fine-tuning catalyst structure.

    The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

    This research was funded by the National Natural Science Foundation of China (Nos. 21706074 and 21972038), the Natural Science Foundation of Henan Province (No. 2023000410209), the Key Research and Promotion Project of Henan Province (Nos. 202102210261 and 202102310267) and the Top-notch Personnel Fund of Henan Agricultural University (No. 30500682). The Science and Technology Research Program of Chongqing Municipal Education Commission (No. KJQN202000519) and the foundation project of Chongqing Normal University (No. 18XLB008).


    1. [1]

      S. Peh, D. Zhao, Science 369 (2020) 372-373. doi: 10.1126/science.abc9135

    2. [2]

      N. Wang, R. Miao, G. Lee, et al., Smart Mat. 2 (2021) 12-16. doi: 10.1002/smm2.1018

    3. [3]

      Y. Qin, H. Zhuo, X. Liang, et al., Dalt. Trans. 48 (2019) 10313-10319. doi: 10.1039/C9DT01536A

    4. [4]

      D. Gao, S. Li, Y. Lv, et al., J. Catal. 376 (2019) 87-100. doi: 10.1016/j.jcat.2019.06.043

    5. [5]

      M. Wu, Y. Li, X. Liu, et al., Smart Mat. 2 (2021) 5-11. doi: 10.1002/smm2.1015

    6. [6]

      M. Liu, X. Wang, E.H. Sargent, et al., Joule 3 (2019) 1703-1718. doi: 10.1016/j.joule.2019.05.010

    7. [7]

      Z. Wu, F. Gao, M. Gao, Energy Environ. Sci. 14 (2021) 1121-1139. doi: 10.1039/D0EE02747B

    8. [8]

      J.P. Jones, G.K.S. Prakash, G.A. Olah, Isr. J. Chem. 54 (2014) 1451-1466. doi: 10.1002/ijch.201400081

    9. [9]

      D.T. Whipple, P.J.A. Kenis, J. Phys. Chem. Lett. 1 (2010) 3451-3458. doi: 10.1021/jz1012627

    10. [10]

      Q. Wang, C. Cai, M. Dai, et al., Small Sci. 1 (2021) 2000028. doi: 10.1002/smsc.202000028

    11. [11]

      Y. Qin, X. Zhang, X. Dai, et al., Small 12 (2016) 524-533. doi: 10.1002/smll.201502669

    12. [12]

      M. Mikkelsen, M. Jørgensen, F.C. Krebs, Energy Environ. Sci. 3 (2010) 43-81. doi: 10.1039/B912904A

    13. [13]

      N.S. Spinner, J.A. Vega, W.E. Mustain Catal. Sci. Technol. 2 (2012) 19-28. doi: 10.1039/C1CY00314C

    14. [14]

      C. Li, J. Ciston, M.W. Kanan, Nature 508 (2014) 504-507. doi: 10.1038/nature13249

    15. [15]

      D. Zhu, J. Liu, S. Qiao, Adv. Mater. 28 (2016) 3423-3452. doi: 10.1002/adma.201504766

    16. [16]

      Y. Wang, H. Su, Y. He, et al., Chem. Rev. 120 (2020) 12217-12314. doi: 10.1021/acs.chemrev.0c00594

    17. [17]

      Y. Liu, T. Wang, X. Fang, et al., Chin. Chem. Lett. 31 (2020) 2712-2716. doi: 10.1016/j.cclet.2020.04.037

    18. [18]

      J. Liu, C. Chen, K. Zhang, L. Zhang, Chin. Chem. Lett. 32 (2021) 649-659. doi: 10.1016/j.cclet.2020.07.040

    19. [19]

      Y. Qin, W. F, X. Wang, et al., Rare Met. 40 (2021) 2354-2368. doi: 10.1007/s12598-021-01727-y

    20. [20]

      Y. Tan, K. Lee, H. Song, J. Oh, Joule 4 (2020) 1104-1120. doi: 10.1016/j.joule.2020.03.013

    21. [21]

      Y. Chen, K. Chen, J. Fu, et al., Nano Mater. Sci. 2 (2020) 235-247. doi: 10.1016/j.nanoms.2019.10.006

    22. [22]

      T. Wang, J. Yang, J. Chen, et al., Chin. Chem. Lett. 31 (2020) 1438-1442. doi: 10.1016/j.cclet.2020.04.056

    23. [23]

      J. Xu, K. Wang, S. Zu, B. Han, Z. Wei, ACS Nano 4 (2010) 5019-5026. doi: 10.1021/nn1006539

    24. [24]

      H. Pang, X. Meng, P. Li, et al., ACS Energy Lett. 4 (2019) 1387-1393. doi: 10.1021/acsenergylett.9b00711

    25. [25]

      Y. Wu, J. Zeng, Y. Yang, et al., Mater. Chem. Front. 5 (2021) 4327-4333. doi: 10.1039/D1QM00169H

    26. [26]

      Y. Wang, R. Yang, Y. Chen, et al., Sci. Bull. 65 (2020) 1635-1642. doi: 10.1016/j.scib.2020.05.010

    27. [27]

      K. Li, B. Peng, T. Peng, ACS Catal. 6 (2016) 7485-7527. doi: 10.1021/acscatal.6b02089

    28. [28]

      L. Zhang, Z. Zhao, J. Gong, Angew. Chem. Int. Ed. 56 (2017) 11326. doi: 10.1002/anie.201612214

    29. [29]

      Y. Qin, X. Dai, X. Zhang, et al., J. Mater. Chem. A 4 (2016) 3865-3871. doi: 10.1039/C5TA10428A

    30. [30]

      H. Wang, Z. Xu, Z. Zhang, et al., Nanoscale 12 (2020) 22541-22550. doi: 10.1039/D0NR06354A

    31. [31]

      Y. Qin, X. Zhang, X. Dai, et al., J. Mater. Chem. A 3 (2015) 10671-10676. doi: 10.1039/C5TA01950H

    32. [32]

      J. Zhang, M. Qiao, Y. Li, Q. Shao, X. Huang, ACS Appl. Mater. Interfaces 11 (2019) 39722-39727. doi: 10.1021/acsami.9b09092

    33. [33]

      Y. He, Y. Li, J. Zhang, et al., Nano Energy 77 (2020) 105010. doi: 10.1016/j.nanoen.2020.105010

    34. [34]

      M. Schreier, J. Luo, P. Gao, et al., J. Am. Chem. Soc. 138 (2016) 1938-1946. doi: 10.1021/jacs.5b12157

    35. [35]

      Z. Zhang, Y. Liu, B. Chen, et al., Adv. Mater. 28 (2016) 10282-10286. doi: 10.1002/adma.201604829

    36. [36]

      Q. Shao, P. Wang, S. Liu, X. Huang, J. Mater. Chem. A 7 (2019) 20478-20493. doi: 10.1039/C9TA07016H

    37. [37]

      P. Wang, K. Jiang, G. Wang, J. Yao, X. Huang, Angew. Chem. Int. Ed. 55 (2016) 12859. doi: 10.1002/anie.201606290

    38. [38]

      N. Zhang, L. Bu, S. Guo, J. Guo, X. Huang, Nano Lett. 16 (2016) 5037-5043. doi: 10.1021/acs.nanolett.6b01825

    39. [39]

      Z. Chang, S. Huo, W. Zhang, J. Fang, H. Wang, J. Phys. Chem. C 121 (2017) 11368-11379. doi: 10.1021/acs.jpcc.7b01586

    40. [40]

      T. Zhuang, Z. Liang, A. Seifitokaldani, et al., Nat. Catal. 1 (2018) 421-428. doi: 10.1038/s41929-018-0084-7

    41. [41]

      L. He, H. Yang, J. Huang, et al., RSC Adv. 9 (2019) 10168-10173. doi: 10.1039/C8RA10494H

    42. [42]

      F. Qiu, G. Liu, L. Li, et al., Chem. Eur. J. 20 (2014) 505-509. doi: 10.1002/chem.201302943

    43. [43]

      S. Zhu, X. Qin, Q. Wang, et al., J. Mater. Chem. A 7 (2019) 16954-16961. doi: 10.1039/C9TA05325E

    44. [44]

      S. Zhu, Q. Wang, X. Qin, et al., Adv. Energy Mater. 8 (2018) 1802238. doi: 10.1002/aenm.201802238

    45. [45]

      K. Ye, Z. Zhou, J. Shao, et al., Angew. Chem. Int. Ed. 59 (2020) 4814. doi: 10.1002/anie.201916538

    46. [46]

      L. Bu, Q. Shao, E. Bin, et al., J. Am. Chem. Soc. 139 (2017) 9576-9582. doi: 10.1021/jacs.7b03510

    47. [47]

      L. Bu, N. Zhang, S. Guo, et al., Science 354 (2016) 1410-1414. doi: 10.1126/science.aah6133

    48. [48]

      K. Sun, T. Cheng, L. Wu, et al., J. Am. Chem. Soc. 139 (2017) 15608-15611. doi: 10.1021/jacs.7b09251

    49. [49]

      J. Liu, Y. Wang, H. Jiang, et al., Chem. Asian J. 15 (2020) 425. doi: 10.1002/asia.201901550

    50. [50]

      X. Hou, Y. Cai, D. Zhang, et al., J. Mater. Chem. A 7 (2019) 3197-3205. doi: 10.1039/C8TA10650A

    51. [51]

      M.G. Kim, Y. Choi, E. Park, et al., ACS Appl. Energy Mater. 3 (2020) 11516-11522. doi: 10.1021/acsaem.0c01868

    52. [52]

      J. Ge, J. Long, Z. Sun, et al., ACS Appl. Energy Mater. 2 (2019) 6163. doi: 10.1021/acsaem.9b01286

    53. [53]

      Q. Cheng, K. Mao, L. Ma, et al., ACS Energy Lett. 3 (2018) 1205-1211. doi: 10.1021/acsenergylett.8b00474

    54. [54]

      B. Zhang, Y. Wang, S. Xu, et al., RSC Adv. 10 (2020) 19192-19198. doi: 10.1039/D0RA02482A

    55. [55]

      X. Ma, Y. Shen, S. Yao, et al., J. Mater. Chem. A 8 (2020) 3344-3350. doi: 10.1039/C9TA09471G

    56. [56]

      W. Luc, C. Collins, S. Wang, et al., J. Am. Chem. Soc. 139 (2017) 1885-1893. doi: 10.1021/jacs.6b10435

    57. [57]

      J. Zou, M. Wu, S. Ning, et al., ACS Sustain. Chem. Eng. 7 (2019) 9007-9016. doi: 10.1021/acssuschemeng.9b01270

    58. [58]

      A.M. Ismail, E. Csapó, C. Janáky, Electrochim. Acta 313 (2019) 171-178. doi: 10.1016/j.electacta.2019.05.016

    59. [59]

      D. Kim, C. Xie, N. Becknell, et al., J. Am. Chem. Soc. 139 (2017) 8329-8336. doi: 10.1021/jacs.7b03516

    60. [60]

      M. Wang, X. Ren, G. Yuan, et al., J. CO2 Util. 37 (2020) 204-212. doi: 10.1016/j.jcou.2019.12.013

    61. [61]

      S. Zhang, M. Li, B. Hua, et al., ChemCatChem 11 (2019) 4147. doi: 10.1002/cctc.201900395

    62. [62]

      D. Jagadeesan, Appl. Catal. A 511 (2016) 59-77. doi: 10.1016/j.apcata.2015.11.033

    63. [63]

      Y. Huang, J. Liang, X. Wang, R. Cao, Chem. Soc. Rev. 46 (2017) 126-157. doi: 10.1039/C6CS00250A

    64. [64]

      C. Xie, Z. Niu, D. Kim, M. Li, P. Yang, Chem. Rev. 120 (2020) 1184-1249. doi: 10.1021/acs.chemrev.9b00220

    65. [65]

      D.E. Fogg, E.N. Santos, Coord. Chem. Rev. 248 (2004) 2365-2379. doi: 10.1016/j.ccr.2004.05.012

    66. [66]

      Z. Wang, J. Qi, N. Yang, R. Yu, D. Wang, Mater. Chem. Front. 5 (2021) 1126-1139. doi: 10.1039/D0QM00538J

    67. [67]

      P. Iyengar, M.J. Kolb, J.R. Pankhurst, F. Calle-Vallejo, R. Buonsanti, ACS Catal. 11 (2021) 4456-4463. doi: 10.1021/acscatal.1c00420

    68. [68]

      Z. Xia, S. Guo, Chem. Soc. Rev. 48 (2019) 3265-3278. doi: 10.1039/C8CS00846A

    69. [69]

      Y. Qin, W. Zhang, K. Guo, et al., Adv. Funct. Mater. 30 (2020) 1910107. doi: 10.1002/adfm.201910107

    70. [70]

      Y. Chen, L. Zhuang, J. Lu, Chin. Chem. Lett. 18 (2007) 1301-1304. doi: 10.1016/j.cclet.2007.08.006

    71. [71]

      Y. Wang, D. Wang, Y. Li, Smart Mat. 2 (2021) 56-75. doi: 10.1002/smm2.1023

    72. [72]

      C. Liu, Z. Ma, M. Cui, et al., Nano Lett. 18 (2018) 7870-7875. doi: 10.1021/acs.nanolett.8b03666

    73. [73]

      J. Qi, J. Chen, G. Li, et al., Energy Environ. Sci. 5 (2012) 8937-8941. doi: 10.1039/c2ee22600f

    74. [74]

      C. Xie, D. Yan, W. Chen, et al., Mater. Today 31 (2019) 47-68. doi: 10.1016/j.mattod.2019.05.021

    75. [75]

      C. Yang, Y. Zhu, J. Liu, et al., Nano Energy 77 (2020) 105126. doi: 10.1016/j.nanoen.2020.105126

    76. [76]

      M. Xu, M. Wei, Adv. Funct. Mater. 28 (2018) 1802943. doi: 10.1002/adfm.201802943

    77. [77]

      X. Cui, Z. Zhang, Y. Gong, et al., CCS Chem. 2 (2020) 24-30. doi: 10.31635/ccschem.020.201900031

    78. [78]

      X. Ma, Y. Shen, S. Yao, et al., J. Mater. Chem. A 8 (2020) 3344-3350. doi: 10.1039/C9TA09471G

    79. [79]

      H. Dong, C. Liu, Y. Li, D. Jiang, Nanoscale 11 (2019) 11351-11359. doi: 10.1039/C9NR01936G

    80. [80]

      H. Xie, T. Wang, J. Liang, et al., Nano Today 21 (2018) 41-54. doi: 10.1016/j.nantod.2018.05.001

    81. [81]

      Z. Yin, G.T.R. Palmore, S. Sun, Trends Chem. 1 (2019) 739-750. doi: 10.1016/j.trechm.2019.05.004

    82. [82]

      J. Ge, Z. Li, X. Hong, Y. Li, Chem. Eur. J. 25 (2019) 5113. doi: 10.1002/chem.201805332

    83. [83]

      C. Kuo, T. Hua, M. Huang, J. Am. Chem. Soc. 131 (2009) 17871-17878. doi: 10.1021/ja9065333

    84. [84]

      K. Chen, X. Zhang, T. Williams, L. Bourgeois, D.R. MacFarlane, Electrochim. Acta 239 (2017) 84-89. doi: 10.1016/j.electacta.2017.04.019

    85. [85]

      X. Sun, D. Li, S. Guo, W. Zhu, S. Sun, Nanoscale 8 (2016) 2626-2631. doi: 10.1039/C5NR06492A

    86. [86]

      D.R. Kauffman, D.R. Alfonso, D.N. Tafen, et al., J. Phys. Chem. C 122 (2018) 27991-28000. doi: 10.1021/acs.jpcc.8b06234

    87. [87]

      S. Kunze, P. Grosse, M. Bernal Lopez, et al., Angew. Chem. Int. Ed. 132 (2020) 22856-22863. doi: 10.1002/ange.202010535

    88. [88]

      L. Wang, Y. Yamauchi, Chem. Mater. 23 (2011) 2457-2465. doi: 10.1021/cm200382s

    89. [89]

      C. Zhang, X. Cheng, Z. Guo, Z. Lv, New J. Chem. 43 (2019) 561-563. doi: 10.1039/C8NJ05695A

    90. [90]

      Y. Ge, Z. Huang, C. Ling, et al., J. Am. Chem. Soc. 142 (2020) 18971-18980. doi: 10.1021/jacs.0c09461

    91. [91]

      Z. Wei, Y. Zhu, J. Liu, et al., Rare Met. 40 (2021) 767-789. doi: 10.1007/s12598-020-01592-1

    92. [92]

      J. Zeng, K. Bejtka, W. Ju, et al., Appl. Catal. B: Environ. 236 (2018) 475-482. doi: 10.1016/j.apcatb.2018.05.056

    93. [93]

      J. Sun, W. Zheng, S. Lyu, et al., Chin. Chem. Lett. 31 (2020) 1415-1421. doi: 10.1016/j.cclet.2020.04.031

    94. [94]

      L. Shang, X. Lv, H. Shen, Z. Shao, G. Zheng, J. Colloid Interface Sci. 552 (2019) 426-431. doi: 10.1016/j.jcis.2019.05.073

    95. [95]

      Q. Wang, L. Shang, D. Sun-Waterhouse, T. Zhang, G. Waterhouse, Smart Mat. 2 (2021) 154-175. doi: 10.1002/smm2.1033

    96. [96]

      Z. Ban, Y.A. Barnakov, F. Li, V.O. Golub, C.J. O'Connor, J. Mater. Chem. 15 (2005) 4660-4662. doi: 10.1039/b504304b

    97. [97]

      M. Li, Z. Zhao, T. Cheng, et al., Science 354 (2016) 1414-1419. doi: 10.1126/science.aaf9050

    98. [98]

      P. Zhang, X. Zhou, Y. Tang, T.K. Sham, Langmuir 21 (2005) 8502-8508. doi: 10.1021/la0501031

    99. [99]

      J. Xu, T. White, P. Li, et al., J. Am. Chem. Soc. 132 (2010) 10398-10406. doi: 10.1021/ja102617r

    100. [100]

      J. Xu, X. Cui, N. Liu, Y. Chen, H. Wang, Smart Mat. 2 (2021) 202-212. doi: 10.1002/smm2.1045

    101. [101]

      S. Back, M.S. Yeom, Y. Jung, ACS Catal. 5 (2015) 5089-5096. doi: 10.1021/acscatal.5b00462

    102. [102]

      H. Fu, L. Zhang, L. Zheng, et al., J. Mater. Chem. A 7 (2019) 12420-12425. doi: 10.1039/C9TA02223F

    103. [103]

      C. Yuan, H. Li, Y. Jiang, et al., J. Mater. Chem. A 7 (2019) 6894-6900. doi: 10.1039/C8TA11500A

    104. [104]

      T. Gao, A. Kumar, Z. Shang, et al., Chin. Chem. Lett. 30 (2019) 2274-2278. doi: 10.1016/j.cclet.2019.07.028

    105. [105]

      K.S. Novoselov, O.A. Mishchenko, O.A. Carvalho, A.C. Neto, Nat. Nanotechnol. 14 (2019) 408-419. doi: 10.1038/s41565-019-0438-6

    106. [106]

      J. Wu, Y. Xie, S. Du, et al., Sci. China Mater. 63 (2020) 2314-2324. doi: 10.1007/s40843-020-1361-3

    107. [107]

      Y. Chen, M.W. Kanan, J. Am. Chem. Soc. 134 (2012) 1986-1989. doi: 10.1021/ja2108799

    108. [108]

      F. Abild-Pedersen, J. Greeley, F. Studt, et al., Phys. Rev. Lett. 99 (2007) 016105. doi: 10.1103/PhysRevLett.99.016105

    109. [109]

      W. Luc, C. Collins, S. Wang, et al., J. Am. Chem. Soc. 139 (2017) 1885-1893. doi: 10.1021/jacs.6b10435

    110. [110]

      P. Wang, M. Qiao, Q. Shao, et al., Nat. Commun. 9 (2018) 4933. doi: 10.1038/s41467-018-07419-z

    111. [111]

      Q. Li, J. Fu, W. Zhu, et al., J. Am. Chem. Soc. 139 (2017) 4290-4293. doi: 10.1021/jacs.7b00261

    112. [112]

      S. Payra, S. Shenoy, C. Chakraborty, K. Tarafder, S. Roy, ACS Appl. Mater. Interfaces 12 (2020) 19402-19414. doi: 10.1021/acsami.0c00521

    113. [113]

      W. Yang, Y. Zhu, J. Li, et al., Chin. Chem. Lett. 32 (2021) 286-290. doi: 10.1016/j.cclet.2020.10.040

    114. [114]

      X. Wang, S. Liu, K. Huang, et al., Chin. Chem. Lett. 21 (2010) 987-990. doi: 10.1016/j.cclet.2010.04.022

    115. [115]

      H. Yoon, S. Kim, W. Huang, Y. Sohn, Chin. Chem. Lett. 29 (2018) 800-804. doi: 10.1016/j.cclet.2018.01.021

    116. [116]

      L. Kong, C. Tang, H. Peng, J. Huang, Q. Zhang, Smart Mat. 1 (2020) 1-35.

    117. [117]

      Q. Cheng, L. Yang, L. Zou, et al., ACS Catal. 7 (2017) 6864-6871. doi: 10.1021/acscatal.7b02326

    118. [118]

      Y. Pan, R. Lin, Y. Chen, et al., J. Am. Chem. Soc. 140 (2018) 4218-4221. doi: 10.1021/jacs.8b00814

    119. [119]

      H. Yang, N. Han, J. Deng, et al., Adv. Energy Mater. 8 (2018) 1801536. doi: 10.1002/aenm.201801536

    120. [120]

      A.P. Periasamy, R. Ravindranath, S.M.S. Kumar, et al., Nanoscale 10 (2018) 11869-11880. doi: 10.1039/C8NR02117A

    121. [121]

      S. Shen, J. He, X. Peng, et al., J. Mater. Chem. A 6 (2018) 18960-18966. doi: 10.1039/C8TA04758H

    122. [122]

      X. Duan, J. Xu, Z. Wei, et al., Adv. Mater. 29 (2017) 1701784. doi: 10.1002/adma.201701784

    123. [123]

      S. Munir, A.R. Varzeghani, S. Kaya, Sustain. Energy Fuels 2 (2018) 2532-2541. doi: 10.1039/C8SE00258D

    124. [124]

      I. Kasatkin, P. Kurr, B. Kniep, A. Trunschke, R. Schlögl, Angew. Chem. Int. Ed. 46 (2007) 7324-7327. doi: 10.1002/anie.200702600

    125. [125]

      X. Liu, X. Wang, B. Zhou, et al., Adv. Funct. Mater. 23 (2013) 1256-1264. doi: 10.1002/adfm.201202061

    126. [126]

      J.M. Luther, P.K. Jain, T. Ewers, A.P. Alivisatos, Nat. Mater. 10 (2011) 361-366. doi: 10.1038/nmat3004

    127. [127]

      Y. Wang, C. Li, Z. Fan, et al., Nano Lett. 20 (2020) 8074. doi: 10.1021/acs.nanolett.0c03073

    128. [128]

      M. Zhao, Y. Xia, Nat. Rev. Mater. 5 (2020) 440-459. doi: 10.1038/s41578-020-0183-3

  • Figure 1  Reaction mechanism diagram of CO2 reduction to different products. The gray, red, and white spheres represent C, O, and H atoms, respectively. And the orange box, the green box, the blue box, and the yellow box are C1 products, C2 products, C3 products, and by-products.

    Figure 2  Schematic diagram of tandem catalysis mechanism of CMCs.

    Figure 3  (a) Schematic synthesis diagram of AuFe-CSNP. (b) TEM and HRTEM images and element map of AuFe-NPs and AuFe-CSNP, respectively. The green part is Au and the red part is Fe in the element map. (c) The CO2RR reaction steps on Au-M binary alloys include the physical adsorption of CO2, *COOH, *CO and *(* stands for surface site). The yellow, green, silver, red, and white balls represent Au, M, C, O, and H, respectively. (d) l-CO2 and *COOH are on the surface with vacancies. Formation energy diagram of *COOH generated by Au, AuFe-CSNP and AuFe-CSNP with vacancies (AuFe-CSNP-v) in CO2RR. Reproduced with permission [48]. Copyright 2017, American Chemical Society.

    Figure 4  (a) Schematic illustration of CO2RR mechanism in the Au-Pd core-shell structure. (b) Au60Pd40 NPs of STEM-HAADF, XEDS element mapping and HAADF images. Au94Pd6 NPs of STEM-HAADF, XEDS element mapping, and color HAADF images. The green lines represent the Au atoms isolated from the surface of Au94Pd6 NPs. (c) Configurations of m-Au, m-Pd, m-Au60Pd40, m-Au75Pd25, and m-Au94Pd6 slab models, and the surface element segregation pattern of m-Au94Pd6 from the top view. The images above are the bulk structure, and the images below are the structure after the surface replacement. FE of CO2 reduction to (d) CO and (e) H2 on Au, Pd and AuPd alloy catalysts with different contents, and (f) mass and (g) specific activity of Au, Pd and AuPd alloy catalysts with different contents for CO production. Gibbs free energy diagrams of the reaction paths of (h) CO2RR and (i) HER on different slab model catalysts. Reproduced with permission [43]. Copyright 2019, Royal Society of Chemistry.

    Figure 5  (a) Schematic diagram of synthesis of Ag@Au NWs. (b) FECO of different catalysts at different potentials. (c) CO partial current density of different catalysts at different potentials. (d) Tafel slope of different core-shell electrocatalysts. (e) FECO of Ag@Au0.5 electrocatalyst in 0.1 mol/L KCl and 0.1 mol/L KHCO3 solutions. (f) Stability test of Ag@Au0.5 catalyst at −1.14 V (vs. RHE). (g) electrochemical impedance spectroscopy (EIS) data of different core-shell electrocatalysts. Reproduced with permission [49]. Copyright 2019, Wiley-VCH.

    Figure 6  (a) Synthesis diagram of Ag3Sn/SnOx core-shell structure. (b) HAADF-STEM image and electron energy-loss spectroscopy (EELS) of Ag76Sn24/SnOx catalyst. (c) FE diagram of CO2 reduction products catalyzed by AgSn /SnOx catalysts at different concentrations of Sn. (d) The free formation energies of oxygen vacancy (Ov), hydroxyl from H+ reduction (-(O)H*), and asymmetric hydroxyls (asym 2OH*) from chemical water dissociation on the SnO as a function of potentials vs. RHE. (e) The advantageous free energy pathways for CO2 reduction to CO and HCOOH on SnO. Reproduced with permission [109]. Copyright 2017, American Chemical Society.

    Figure 7  (a) TEM image, atom model and (b) HAADF-STEM image of CuSn NPs. Scale bars, 20 nm in a, 100 nm in b. (c) Free energy distribution of two paths of CO2RR over Cu/SnO2 catalyst. The figures above and below show the geometrical structures of different states (*COOH, OCHO* and *CO) at the Cu/SnO2 interface. Green, gray, red, reddish-brown, and dark gray spheres represent H, C, O, Cu, and Sn atoms, respectively. (d) FE diagrams of CO, H2 and HCOOH and current density diagrams of CO and HCOOH for different catalysts at −0.7 VRHE and–1.0 VRHE. Reproduced with permission [110]. Copyright 2018, Springer Nature. (e) The free energy diagrams of the two reaction paths when Cu/SnO2 catalysts are 1.8 nm-SnO2 shells, 0.8 nm-SnO2 shells with 10% uniaxial compression, and 0.8 nm-SnO2 shells with 2 Cu atoms on the surface and 0.8 nm-SnO2 shells with 2 Cu atoms on the surface and 10% uniaxial compression. Reproduced with permission [111]. Copyright 2017, American Chemical Society.

    Figure 8  (a) Schematic diagram of Ag@AgClx nanowire array for CO2RR. (b) SEM images of Ag NWs and Ag@AgCl core-shell NWs, the illustration is side view SEM image of the nanowire array. The free energy changes of the CO2RR of (c) Ag (111), Ag (111)_Cl, Ag (211) and Ag (211)_Cl, and the atomic model diagram of the intermediates are shown at the bottom. Ag and Cl are represented by blue and green atoms. Reproduced with permission [52]. Copyright 2019, American Chemical Society. (d) Current density and FE changes of Fe-N/CNF-2 in CO2 reduction at −0.53 V for 24 h. Reproduced with permission [53]. Copyright 2018, American Chemical Society.

    Figure 9  (a) Schematic diagram of synthesis of C/A Ni2P/Ho2O3 CSNPs. OA, NDs stand for oleic acid, nanodisks. (b) Element mapping of each element of C/A Ni2P/Ho2O3 CSNPs. Reproduced with permission [51]. Copyright 2020, American Chemical Society. (c) Schematic formation diagram of Ni-NC@Ni catalyst. (d) Stability of the Ni-NC@Ni for CO2 reduction operated at potentiostatic mode of −0.78 V vs. RHE for 150 h with a 0.3 × 0.8 cm2 working electrode. The black line corresponds to the current density, and the red dot corresponds to the FE. Reproduced with permission [33]. Copyright 2020, Elsevier.

    Figure 10  (a) Schematic diagram of the CO2RR process occurring on Cu2S-Cu-V CSVE electrocatalyst. (b) FE of ethanol and propanol over CSVE catalyst at current density of 200–600 mA/cm2. (c) FE of multi-carbon alcohols and ethylene on different catalysts at −0.95 V vs. RHE. Reproduced with permission [40]. Copyright 2018, Springer Nature.

    Table 1.  Standard hydrogen electrode to convert CO2 to various C1 and C2+ products at pH 0, 1.0 bar, and 25 ℃ in aqueous solution.

    下载: 导出CSV

    Table 2.  Representative CMCs prepared by wet chemical method.

    下载: 导出CSV
  • 加载中
计量
  • PDF下载量:  3
  • 文章访问数:  908
  • HTML全文浏览量:  61
文章相关
  • 发布日期:  2022-05-15
  • 收稿日期:  2021-06-14
  • 接受日期:  2021-08-14
  • 修回日期:  2021-07-14
  • 网络出版日期:  2021-08-19
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

/

返回文章