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Review

Cutting-Edge Electrocatalysts for CO2RR

by
Nivetha Jeyachandran
,
Wangchao Yuan
and
Cristina Giordano
*
Department of Chemistry, Queen Mary University of London, Mile End Road, London E1 4NS, UK
*
Author to whom correspondence should be addressed.
Molecules 2023, 28(8), 3504; https://doi.org/10.3390/molecules28083504
Submission received: 27 February 2023 / Revised: 30 March 2023 / Accepted: 11 April 2023 / Published: 16 April 2023
(This article belongs to the Special Issue Electrochemical CO2 Conversion to Value-Added Products)
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Abstract

:
A world-wide growing concern relates to the rising levels of CO2 in the atmosphere that leads to devastating consequences for our environment. In addition to reducing emissions, one alternative strategy is the conversion of CO2 (via the CO2 Reduction Reaction, or CO2RR) into added-value chemicals, such as CO, HCOOH, C2H5OH, CH4, and more. Although this strategy is currently not economically feasible due to the high stability of the CO2 molecule, significant progress has been made to optimize this electrochemical conversion, especially in terms of finding a performing catalyst. In fact, many noble and non-noble metal-based systems have been investigated but achieving CO2 conversion with high faradaic efficiency (FE), high selectivity towards specific products (e.g., hydrocarbons), and maintaining long-term stability is still challenging. The situation is also aggravated by a concomitant hydrogen production reaction (HER), together with the cost and/or scarcity of some catalysts. This review aims to present, among the most recent studies, some of the best-performing catalysts for CO2RR. By discussing the reasons behind their performances, and relating them to their composition and structural features, some key qualities for an “optimal catalyst” can be defined, which, in turn, will help render the conversion of CO2 a practical, as well as economically feasible process.

1. Introduction

The day-to-day increase in levels of CO2, predominantly produced by anthropogenic processes, poses serious environmental issues, and simply relying on nature (i.e., photosynthesis via plants) is no longer sufficient to stabilize the CO2 present in the air. The current CO2 concentration in the Earth’s atmosphere is approximately 417 ppm, and it has almost doubled since the 1760s [1]. This has led to devastating effects in terms of climate change, which in turn is causing melting glaciers, rising sea levels, destruction of natural habitats, and flooding, among others [2]. In order to improve the sustainability of our environment, besides limiting anthropogenic CO2 emissions, one effective solution to reduce CO2 levels relies on its capture and subsequent electrocatalytic conversion (also known as CO2 reduction reaction, or CO2RR) into value-added chemicals. These products can be very diverse, as schematically shown in Figure 1, and can be used as fuels, as versatile chemical intermediates, preservatives, pesticides, in cosmetics, and more [3].
Current research is focusing more and more on optimizing CO2RR to make it practical but also economically feasible. However, there are several challenges to face, the main one related to the energy costs of the reduction step (the CO2 molecule is thermodynamically stable, ΔfG298K = −394 KJ/mol) [4,5], while achieving a conversion with high selectivity and efficiency.
To give an idea of these challenges, Table 1 reports the standard potential required to convert CO2 to various products.
Another challenge to face during the CO2 conversion process is the concurrent production of hydrogen, which commonly derives from the competing hydrogen reaction (HER). Clearly, this reaction reduces efficiency and needs to be suppressed to maximize the final yield and selectivity of the desired products.
These challenges can be mitigated by employing a suitable catalyst that is able to facilitate the breakage of the CO2 bonds, address the conversion toward specific products (selectively), suppress the HER, and remain stable throughout the process.
This review aims to present some recent studies on selected, most promising catalysts for CO2RR. By discussing the reasons behind their performance, we wish to delineate the next generation of electrocatalysts for rendering the conversion of CO2 an economically feasible process.

Mechanism for Electrochemical Reduction of CO2

In general, the electrochemical reduction of CO2 in an aqueous solution is a multi-electron transfer process that enables CO2 to convert into several gaseous and liquid products, as shown in Figure 1 [7,8]. The final product obtained is dependent on several factors, such as the nature of the electrocatalyst (discussed in later chapters), and the electrolytic reaction conditions, including the electrolyte used [9], the applied potential, and the type of cell used for the setup (i.e., flow cell [10], H-cell [11]). To simply explain the mechanism in three steps: (1) CO2 adsorbs and interacts with surface atoms of the catalyst; (2) CO2 is activated, and the reduction proceeds with aid of the catalyst-initiated proton transfer to generate intermediates such as *CO2, *COOH, *CO, and others; and (3) the final product is desorbed, and the recovery of the catalyst surface takes place. These intermediates are crucial for CO2RR to lead to the final desired product (Figure 2). For instance, the generation of so-called C1 products involves the *CO2 intermediate interacting with a proton to form *COOH favoring the production of CO. Other intermediates, such as *CO, are invaluable to both the C1 and C2 pathways. To obtain C1 products, *CO can obtain a proton to generate *CHO intermediate, followed by three proton/electron transfers to form CH3OH. Moreover, the *CO intermediate can also participate in an additional step known as the C-C coupling step, leading to the production of C2 products [12].

2. Noble Metal-Based Nanosized Catalysts for CO2RR

A suitable catalyst for CO2RR must guarantee high selectivity while maximizing efficiency (yield/conversion). In this respect, noble metal-based catalysts such as Au [13], Ag [14], Pd [15], Rh [16], and Ir [17] were proved to have both excellent activity and high selectivity towards the formation of CO and formate (see Table 2).
For instance, Au nanoparticles (NPs) with sizes ranging between 4 and 10 nm [13] led to a selective electrocatalytic reduction of CO2 to CO, with FE 90% at −0.67 V (Figure 3). Furthermore, Au nanoparticles performed better than bulk Au; in fact, as observed by Kauffman et al. [19], bulk Au is barely active, showing a faradaic efficiency of 3% towards CO at a similar potential of −0.675 V vs. RHE. Interestingly, when Au NPs were embedded in a matrix of butyl-3-methylimidazolium hexafluorophosphate (BMIM-PF6), the FE towards CO increased by 7%, whilst simultaneously the H2 production was inhibited [13]. This suggests that the electrocatalytic performance for CO2 reduction is size-dependent but can be further enhanced in the presence of a functional support. Zhu et al. [13] attributed the better activity of the 8 nm nanoparticles to a higher number of edge sites (active sites for CO formation) than corner sites (active sites for hydrogen evolution). Lu et al. [14] studied the activity of nanoporous silver, comparing its performance with that of polycrystalline silver at different potentials. Similar to what observed by Zhu et al. [13], the nanoporous silver electrocatalyst was also more active, with a higher production of CO (FE of 92% at −0.6 V) compared to polycrystalline Ag (FE of 1.1% at the same potential). The study at lower overpotentials showed a decreasing efficiency toward CO formation and a greater production of hydrogen. On the other hand, higher overpotentials led to the formation of formate alongside CO, although hydrogen was still the primary product.
Through computational studies, the role of surface morphology to maximize electrocatalytic performances was studied using palladium nanoparticles with sharp geometric features. Here, the predictions from DFT calculations were determined, and it was found that structures with more edges and grain boundaries have enhanced catalytic activity [15]. In this study, the Pd(211) plane exhibited the lowest energy barrier and, as a result, led to high catalytic activity towards formate production while suppressing CO formation. Following these theoretical predictions, Klinkova et al. [15] undertook experiments to develop Pd NPs with different shapes (see SEM images in Figure 4), and different types of stabilized facets: (100) plane-enclosed nanocubes (NC), (110) plane-enclosed rhombic dodecahedra (RDs), NPs with mixed low-index facets, and branched NPs enclosed by high-index facets (BNP). Klinkova et al. [15] showed experimentally that branched (BNP) Pd NPs surrounded by high index facets performed in agreement with theoretical predictions, reaching an impressive selectivity and a FE of 97% towards formate production at −0.2 V. Importantly, no CO production was detected.
These studies confirm that noble metal-based catalysts have high faradaic efficiency and selectivity, at moderate potentials toward CO and formate, and the main factors that influence the catalytic activity are the size of NPs, their potential-dependent selectivity, shape, and surface morphology. However, their main disadvantages cannot be ignored, i.e., their costs and scarcity, which make them less suitable for large-scale applications, along with their tendency to be poisoned.

3. Non-Noble Metal-Based Electrocatalysts for CO2RR

The costs related to CO2RR can be clearly lowered by using non-noble metal-based electrocatalysts. In this respect, several catalysts have been tested, including pure Sn [20], Ni [21], Fe [22], Zn [23], and Cu [24] (see Table 3). Loading non-noble metal nanoparticles on suitable carbon supports (e.g., carbon black or graphene) ensures a higher surface area and porosity, which eases CO2 transportation and subsequent reduction. Zhang et al. [20] discovered that 5 nm SnO2 NPs loaded onto graphene, rather than carbon black, enhanced activity [20], as evidenced by the higher FE achieved toward formate when a graphene support was used (93.6%), compared to carbon black (86.2%), both at −1.8 V, possibly due to the higher conductivity of graphene.
This study showed that the type of loading matrix used plays a key role by providing better conductivity, a stronger electronic interaction between the support and the metal nanoparticles and enhancing electronic donation. In this specific case, one can speculate that the stronger electron-donating ability of graphene, compared to carbon black, improves the CO2 reduction on the Sn surface. Unfortunately, hydrogen production was significant, thus lowering the overall efficiency. It is interesting to note, SnO2 NPs below 5 nm showed lower selectivity towards formate (to FE ~62%), even lower compared to Sn foil (FE of ~30%). It is evident that the particle size of the Sn catalysts has an influence on the CO2 reduction efficiencies (Figure 5). The maximum efficiencies achieved by the 5 nm nano-SnO2 catalyst were explained by the affinity between the surface-bound key intermediates and the catalyst, facilitating CO2 reduction. Remarkably, SnO2 NPs were found to be stable during electrolysis and had the ability to continuously produce formate for at least 18 h at 1.8 V. By comparison of the controlled potential electrolysis between the SnO2 NPs/carbon black and the SnO2 NPs/graphene, the steady state catalytic current density was twice as high for the latter, signifying the importance of support during CO2RR to improve performance. The stability of the catalyst after CO2RR was further confirmed by TEM images and LSV, indicating no significant changes regarding its morphology and catalytic property.
Nanoporous zinc oxide (ZnO) prepared via the hydrothermal method and thermal decomposition was also tested as a CO2RR alternative electrocatalyst by Jiang et al. [23]. Additionally, in this study, the main products were CO and H2. When the nanoporous ZnO was reduced to Zn, a greater faradaic efficiency of 92% toward CO formation at −1.66 V was achieved, also compared to commercial Zn (FE of 55.5%) at the same applied potential. These findings were adduced to the properties of nanoporous Zn, i.e., high surface area and high density of unsaturated, coordinated surface atoms. Hence, the high selectivity toward CO formation was explained by an increase in the activation of physiosorbed CO2 (a linear molecule) to chemisorbed CO2 (a bent molecule), caused by the surface defects and alkali metal promoted surfaces, facilitating the increased formation and stabilization of bent CO2δ− intermediates on the coordination unsaturated surface atoms [23].
Based on the studies reported here, besides the mentioned advantages, non-noble metal-based catalysts showed a higher FE and selectivity towards CO and HCOO−. However, their performances were limited by their low selectivity and efficiency towards hydrocarbons and alcohol formation (so-called 2-C, 3-C, and 4-C products).
Table
Table 3. Some examples of different non-noble metal-based electrocatalysts for CO2RR.
Table 3. Some examples of different non-noble metal-based electrocatalysts for CO2RR.
ElectrocatalystsSupport Main Product FE (%)Potential
(V vs. RHE)		Reference
Carbon coated Ni NPsN-doped carbon CO94−0.7[25]
Ni NPs encapsulated in N-doped carbon nanohybrid substrates-CO93.1−0.9[26]
NiFe2D MOFCO98.2−0.5[27]
Nanoporous NiSe2-CH3COOH 98.45−0.25[28]
ZnO nanowires-CO91.6−0.62[29]
Cohcp nanosheets-Ethanol60−0.4[30]
Co NPs (5 nm)Single layer nitrogen doped grapheneCH3OH71.4−0.90 V(SCE)[31]
CoTe nanostructures-CH3COOH87−0.25[32]
Fe-doped SnO2 electrode-HCOOH41−0.89[33]
SnO2 NPs (<5 nm)-HCOO-64−1.21[34]
CuO NPs/TiO2catalystTiO2EtOH~36−0.85[35]

4. Copper-Based Catalysts for CO2RR

Among non-precious metals that have been studied, copper-based materials are considered the best electrocatalyst choice for the conversion of CO2, also thanks to lower costs (compared to noble metals) and a relative abundance, with over 200 years of supply still left [36]. The abundance of Cu has a direct effect on its price, estimated at 0.20 GBP/oz (as of 29 March 2023) compared, for instance, to palladium or platinum, with prices estimated at around 1170 GBP/oz and 788 GBP/oz, respectively [37].
Carbon-based materials, including porous carbon, graphene, carbon nanotubes, and modified diamond, have shown different performances for CO2 reduction due to their different crystallinity, surface area, tunable chemical and physical properties, and good conductivity [38]. For instance, oxide carbon nanotubes can selectively convert CO2 into acetic acid with a faradaic efficiency of 71.3% [39]. However, from an economic perspective, the cost of these materials makes them not economically advantageous for practical applications; e.g., the price of 5 g of carbon nanotubes can range from GBP 59 to 259 [40]. Similarly, graphene and modified diamond are also expensive and thus less suitable for large-scale applications [41,42]. On the other hand, the Cu and Cu-based materials reported in this manuscript have been selected because they are readily available, inexpensive, and abundant. In addition to these advantages, the activity of Cu-based catalysts for electrocatalytic CO2 reduction has been established [43]. The unique 3d electronic structure of Cu allows a suitable amount of binding energy between the catalyst and the CO2 molecule for the activation of the CO2 to generate an activated *CO species. Furthermore, Cu-based catalysts are able not only to reduce CO2 simply into CO or short-chain hydrocarbons, but they also allow C-C coupling (by *CO dimerization), thus allowing the preparation of more complex C2+ products.
An overview of the timeline of the development of copper-based materials is reported in Figure 6.
As for other metals discussed previously, pure copper also lacks selectivity towards specific products, which is why a second metal is usually incorporated to modify its structure, for instance, by metal doping, alloying, changing morphology (e.g., core/shell), adjusting crystallinity [58], and more, with the aim to exploit the resulting synergistic, strain, and alloying effects (Figure 7). The incorporation of one or more metals into the Cu structure has been shown to improve stability, increase selectivity and activity, and minimize energy consumption, overall leading to a more efficient CO2RR, as discussed in the following chapters.
There are several ways to synthesize Cu electrocatalysts; these include the use of microwave [59] and electron beam irradiation [60], laser ablation [61], thermal decomposition [62], in situ chemical synthetic routes [63], use of microemulsions [64], metal salt reduction [65], and sol-gel based processes [57], just to cite some. However, some of these methods are costly, lengthy, unable to control particles’ size, morphology, and/or crystallinity, or just not suitable for large-scale manufacture.

4.1. Copper-Based Alloys

Kim et al. [66] investigated the effect of the addition of gold to copper when preparing Cu-Au nanoparticles and found that the presence of gold influences the overall activity toward CO2RR. They showed that the more Au is incorporated into Cu nanoparticles, the more the formation of methane and ethylene declines, while the FE toward CO increases and H2 production is inhibited. By tuning the composition of Au-Cu bimetallic nanoparticles, the degree of stabilization of the intermediates on the nanoparticle surfaces is also affected, and, as a result, different products are favored. Kim et al. [66] also pointed out that the tested Au3Cu showed a high FE of 65% for CO, similar to pure Au NPs of similar sizes [13]. The outcome was elucidated considering the correlation between the nanoparticle’s composition and two other factors: (1) the electronic effect and (2) the geometric effect. The change in the electronic structure of the catalyst is influenced by the electronic effect on the binding strength of intermediates. The geometric effect is the local atomic arrangement at the active site. The way the active site is configured can affect the binding strength of intermediates. Therefore, both geometric and electronic effects must work synergistically to improve CO2 reduction [66]. Moreover, the stability of the Au3Cu catalyst was deduced from the total current as a function of time at −0.73 V vs. RHE. Despite stability in the current for 10 h, a steady decline in activity/selectivity towards CO production was observed following the first hour.
Ma et al. [67] studied geometric effects and the way different mixing patterns can influence selectivity. The mixing patterns for the Cu-Pd catalyst were: ordered, disordered, and phase separated, with compositions ranging from 3:1 to 1:3. Here, it was observed that the more Cu present favored the formation of C2 products, confirming that composition has an influence on selectivity. Interestingly, the product formed depended on the type of mixing pattern used (Figure 8). The ordered CuPd presented the best selectivity for CO formation (FE of 80%), whereas the disordered CuPd showed poor selectivity for CO formation. However, the phase-separated CuPd demonstrated selectivity towards C2H4 and C2H5OH with FE values of ~50% and ~13%, respectively. Ma et al. [67] hypothesize that the electronic effects induced by the mixing of Pd with Cu resulted in different FE for different products. This was further investigated by collecting surface valence band photoemission spectra of all mixing patterns of Cu-Pd catalysts (including the corresponding monometallic ones), which showed that the phase-separated Cu-Pd catalyst has weaker binding between the CO intermediate and the catalyst surface, whereas monometallic Cu has a stronger CO binding. Despite these differences, both phases separated Cu-Pd and Cu NPs showed similar catalytic selectivity. This study showed that the geometric/structure effect had a more significant influence on selectivity than the electronic effect.
The conclusion was that when the Cu atoms were in close proximity to the Pd atoms, it favored alcohol and hydrocarbon formation, whereas when the Cu atoms were alternating with Pd atoms, it favored CO and CH4 formation. From this study, we can observe how adjustments over composition, alongside geometric and electronic effects, can enhance selectivity. Yet, alloying noble metals (i.e., Au, Pd) to copper is still relatively expensive and difficult to manufacture on a large scale.

4.2. Copper Alloyed with Non-Noble Metals

Alloying Cu with non-precious metals, such as Ni [68], Fe [69], Sn [70], Zn [71], Bi [55,72], and many others, can further lower the production price. Tan et al. [68] synthesized CuNi nanoparticles embedded in a three-dimensional (3D) nitrogen-carbon network and found outstanding performances with regards to CO2RR. It was observed that CuNi NPs can selectively convert CO2 into CO (FE 94.5%) at low potentials and outperform their corresponding mono-metal catalysts. The high selectivity was explained by the 3D nitrogen-carbon network improving the CO2 adsorption capacity of the system (i.e., more CO2 being adsorbed on the surface of the catalyst) and enhancing the selectivity towards specific products, as well as improving the stability of the catalyst. The performance of the CuNi catalyst was improved with regards to the catalyst’s stability, demonstrating a stability of constant potential electrolysis for over 38 h at −0.6 V vs. RHE. From a structural and compositional point of view, the catalyst remains unchanged after CO2RR, as confirmed by XRD and TEM. However, even though catalytic performances were outstanding, the synthesis of CuNi NPs embedded in the nitrogen-carbon network is very time-consuming, requiring a total time of about 50 h.

4.2.1. Copper-Based Core/Shell Systems

Changing structure and morphology can also lead to improved performance. Thus, alongside copper alloys, core/shell systems were studied. Compared to alloys, core-shell structures enable additional control over the core size and the thickness of the shell, which can influence the electrochemical reduction of CO2. Li et al. [70] synthesized Cu core/SnO2 shell NPs using the seed-mediated method, where the synthesis of Cu NPs is followed by the decomposition of Sn(acac)2 [70]. One advantage of this method is that it allows precise control over size and leads to core/shell structures with adjustable shell thickness [73]. The core copper NPs were kept at a controlled size of 7 nm, and the thickness of the SnO2 shell was changed by adjusting the amount of Sn(acac)2 added, with ±1 nm final precision. This study showed that both activity and selectivity were thickness dependent (Figure 9). In fact, when the thickness of the SnO2 coating was above 1 nm, the favored product was formate (FE of 85% at −0.9 V). Whereas, when the SnO2 coating was below 1 nm, the main product was CO (FE 93% at −0.7 V). Unfortunately, the drawback of this method is the instability of the seeds [74]. Yet, Cu/SnO2 (0.8 nm shell) demonstrated good stability for 10 h at −0.6 V, and the core/shell structure remains intact even after CO2RR, as confirmed by CV data (before and after CO2 test showing similar surface redox potential) and TEM elemental mapping.
Similarly, Zhang et al. [75] explored Cu@Ag core/shell nanoparticles and also found that tuning the thickness of the shell was a crucial contributor to the selectivity of CO2RR. Optimized performances were observed for Cu@Ag2 NPs with FE of 67.6% and 32.2% toward C2 products and ethylene at −1.1 V vs. RHE, respectively. Increasing the thickness of the Ag shell to Cu@Ag3 or Cu@Ag4 resulted in an increase in CO formation (with similar selectivity as pure Ag NPs [14,76]), while C2 products decreased. Again, selectivity was shown to be thickness-dependent but also influenced by the choice of metal. In fact, while the previous study on Cu@Sn showed that CO and formate were mostly preferred, the Cu@Ag system favours the production of C2H4 and other C2 compounds (including acetate and ethanol). One explanation for the observed difference in selectivity can be ascribed to the core/shell structure of the Cu@Ag, which can function as “a tandem catalyst”, i.e., CO2 is first attached to the Ag shell, activated, then reduced into CO, followed by its conversion into C2+ products on the Cu core. The stability of the Cu@Ag electrocatalyst was tested by performing chronoamperometry measurements (i.e., constant applied potential as a function of time under CO2 reaction conditions). The measurements showed excellent durability with a steady current density and, more importantly, consistent production of C2H4 (FE maintained about ~30%) for 14 h at an applied potential −1.1 V vs. RHE for the Cu@Ag2 catalyst. To prove the stability of the catalyst here, TEM and XRD were performed after CO2RR, showing no changes in the composition or morphology of the catalyst. Although desirable products were formed when alloying Ag with Cu, Ag is an expensive, precious metal, making it not practical for large-scale applications.
A different approach explored the influence of the elemental spatial distribution in bimetallic CuOx-ZnO nanowires after an in situ electrochemical reduction by Wan et al. [77]. Interestingly, they discovered that the phase-separated structural distribution possesses better activity, with higher faradaic efficiency towards CO (>90%), and greater stability over time compared to core/shell structures (FE > 80%) (Figure 10). Unfortunately, the FE declines over time as competitive H2 production increases [77]. Also interestingly, regarding stability, the phase-separated catalyst demonstrated longer durability with a constant rate of FECO and a current density stabilized at 16 mA−2 for 15 h. In comparison, the CuZn core-shell structure was relatively unstable for long durations, and after about 2.5 h, a decline in FECO and a rise in H2 production was observed (see Figure 10e,f). In fact, the CuZn phase-separated was more stable than CuZn core/shell, this was suggested by the observation that element redistribution occurred (after 20 min of the CO2RR) possibly due to the strain on the Zn atoms, with consequent precipitation of Zn, resulting in morphological changes, such as the appearance of dendritic structures (shown by SEM images) for the core/shell sample. The drastic change in morphology for the core/shell after CO2 testing was reasoned to account for the observed inactivation in CO2 performances. On the other hand, CuZn phase-separated reported no morphological transformation or elemental redistribution to be seen after CO2RR. Therefore, we can clearly conclude here that the type of structure has an influence on the final stability and catalytic performance [77].
Other studies (e.g., Ren et al. [50]) on Cu-Zn systems for CO2RR have found that introducing Zn dopant as a co-catalyst can assist copper catalysts to selectively convert CO2 into ethanol. In fact, previous studies have shown that carbon monoxide (CO) can be reduced into ethanol on Cu NPs [78]. It was then showed that the presence of Zn dopants can increase the CO-producing sites in situ on oxide-derived copper catalysts during CO2RR for selective ethanol formation. It seems that the more Zn is added, the maximum faradaic efficiency towards ethanol increases (FE 29.1%), whereas an excess of Zn leads to a decrease in ethanol formation. Further studies were performed on other co-catalysts such as Ag and Ni on copper-based catalysts (where Ag is selective for CO formation and Ni is inactive towards CO2RR), but they showed a much lower selectivity compared to Zn towards ethanol(Zn > Ag > Ni). A suggestion for Ag having a low selectivity towards ethanol compared to Zn was deduced from their different CO binding strengths [79]. Whilst EtOH is a desirable product obtained from CO2, the catalytic stability of the Cu4Zn catalyst for EtOH production was a minimum of 5 h. In addition, significant morphological changes (confirmed by SEM) were observed following the first hour of CO2 reduction, which were attributed to the relief of structural strain during the reduction process [50]. SAED patterns from TEM investigation confirmed that CuZn was no longer an alloy, but rather a phase segregation of Cu and Zn was seen after the reduction process.
Other core/shell catalysts prepared and tested for CO2RR are reported in Table 4 with their synthetic methods. Generally, it is observed that they tend to favor C1 products, i.e., CO and formate. This selectivity can be however changed by tuning the thickness of the shell, which seems to influence the final product more than the choice of the metal.

4.2.2. The Influence of Supports

The electrochemical reduction of CO2 necessitates that the Cu-based catalyst be placed on a conductive material to maximize electron transport. Common supports are carbon black [13], carbon nanotubes [87], and graphene [88]. To investigate the role of support, Li et al. [88] loaded Cu NPs onto three different matrices, namely Kejen black EC-300 carbon, graphene oxide, and pyridinic-N-rich graphene (p-NG). When the copper NPs deposited onto Kejen black EC-300 carbon were tested, the conversion of CO2 to C2H4 was below an FE of 10%. However, when the Cu NPs were placed onto the p-NG support, the selectivity and efficiency towards C2H4 increased. The high selectivity towards C2H4 was explained as a result of the synergistic effect between the p-NG support and Cu NPs. It was suggested that since the p-NG structure is a strong Lewis base, it can allow the protons to concentrate around the Cu and facilitates CO2 to interact with Cu, resulting in CO2 reduction and C-C coupling for the formation of ethylene. However, when p-NG alone (as a catalyst) was tested for CO2RR, it was found that p-NG favors the formation of formate and H2, thus highlighting the importance of the interaction between the Cu NPs and p-NG support.
Baturina et al. [48] also explored carbon-supported Cu nanoparticles for CO2RR, in particular: Vulcan Carbon (VC), Ketjen Black (KB), and Single-Wall Carbon Nanotubes (SWNTs), where Cu was either merely supported or electrodeposited. The carbon-supported Cu nanocatalysts achieved a selectivity toward higher ratios of C2H4:CH4 compared to the electrodeposited (and smoother) Cu films (Figure 11). The high selectivity towards C2H4 was ascribed to the presence of so-called ‘rough surfaces’, which present more corners, edges, and defects, along with smaller particle sizes, than the smooth surface of the electrodeposited Cu film. However, the reasoning behind the different stability patterns observed for different catalysts was unexplained. Also according to this study, the production of C2H4 and CH4 does not significantly change with time, but H2 production increases due to changes on the surface. The choice of support clearly has an influence on catalytic performances yet using supports like single-wall carbon nanotubes (SWNTs) can limit large-scale applications due to their costs (ranging from 125–300 USD/gram) [89].

4.2.3. Crystalline Versus Amorphous Cu Nanoparticles

So far, research has mainly focused on crystalline Cu-based catalysts, however it was observed that amorphous Cu-based catalysts might perform better toward CO2 conversion compared to crystalline Cu nanoparticles, due to their lower-coordinated atoms, increased number of defects, and reactive sites (Table 5).
Duan et al. [58] synthesized amorphous Cu nanoparticles and tested them for electrochemical reduction of CO2. They found that the FE towards HCOOH, C2H5OH, and CO were 37%, 22%, and 5.8%, respectively, at −1.4 V, while crystalline Cu NPs achieved a lower FE towards HCOOH and C2H5OH at much lower potentials (compared to amorphous Cu nanoparticles). More notable, the amorphous Cu NPs exhibited a higher stability for up to 12 h at a constant applied potential of −1.4 V vs. RHE. In addition, the stability of amorphous Cu NPs was seen to be more attractive as negligible changes in composition, morphology, and catalytic property were identified by XRD, TEM, and LSV characterizations, respectively. In contrast, crystalline Cu NPs after 12 h of electrolysis showed poor stability t after 12 h due to an increase in crystallinity, agglomerated particles, as observed by XRD, TEM, and LSV, respectively. Duan et al. [58] suggested the superior performances showed by the amorphous Cu NPs relate to a higher electrochemical active area, arising from the abundant active sites, originating from the distinct electronic structure and intrinsic chemical heterogeneity on the surface of the amorphous Cu. The cyclic voltammetry (CV) data showed that the higher the electrochemical double layer capacitance (EDLC), the higher the electrochemical active area, which led to more active sites and allowed a greater adsorption of CO2 compared to crystalline Cu NPs.
Table 6 reports an overview of some Cu-based catalysts tested in CO2RR.

5. Conclusions

In the present review, selected electrocatalysts for the conversion of CO2 (referred to as CO2RR) into added-value chemicals (including carbon monoxide, formic acid, methane, and ethanol) were discussed. Special emphasis was given to electrocatalysts with improved stability and high selectivity toward specific products over systems with high faradic efficiency (FE) only.
Amongst the various electrocatalysts discussed in this review, more focus was given to Cu and Cu-based catalysts, for these systems (more than others), can be tailored to produce a wider range of multi-carbon-based products, whilst simultaneously ensuring large-scale manufacture.
While, studies on noble metals (e.g., Au, Ag) confirmed good activity, high faradaic efficiency, and selectivity toward CO2RR, yet the main products were usually CO and formate. Even though it was shown that the applied potential can affect selectivity, the production of more complex hydrocarbons is still a challenge when using noble metals. In addition, these systems are in general costly, scarce, and have a tendency to undergo poisoning, making them unsuitable for large-scale applications.
From this perspective, non-noble metal-based catalysts are a preferable choice, thanks to their lower costs and readiness, but they can still show low selectivity and efficiency, especially towards hydrocarbons and alcohol formation (the so-called 2-C, 3-C, and 4-C products). Nonetheless, performances can be enhanced by using nanoparticles, rather than bulk systems. Nanoparticles’ size was shown to be one of the main factors influencing the system’s catalytic activity, alongside the particles’ shape, surface arrangements, degree of crystallinity, and general surface order/disorder of the final structure. Even surface roughness was shown to play a role, leading to different catalytic performances; i.e. CO2 conversion was shown to be favoured by the presence of defects, corners, and edges, commonly found in rough surface-based catalysts, which resulted in better catalytic performances compared to smooth surfaces.
The importance of moderate potentials (0.6–0.7 V) was also shown for non-noble metals, e.g., on Sn catalysts. Adjustments over composition and atomic arrangement, alongside geometric and electronic effects, can enhance selectivity, stability, and efficiency. Studies on CuZn catalysts, for instance, showed how some factors, such as metal element distribution and the use of co-catalysts can influence selectivity. It was also shown that tailoring morphologies may have a significant effect. Studies on core-shell structures (e.g., on CuSnO2) showed that selectivity can be changed by tuning the thickness of the particles’ shell, which in some cases influenced the final product more than the choice of the metal itself.
The important role of functional support was also discussed. Supports can serve to improve conductivity and general electron transport in the final system, can improve the diffusion path, as well as enhance stability. For instance, it was observed that using a more structured matrix, such as graphene, led to better overall performance than using mere amorphous carbon.
In our discussion, we have also pointed out how multi-metallic systems (e.g., bi-metallic or alloys) showed better electrocatalytic activity, outperforming the pure metals, thanks to synergistic effects, possibly resulting from geometric and electronic factors, and an increased number of active sites. These so-called “tandem catalysis” also showed better selectivity, along with higher activity.
Clearly, rather than a screening approach, a dedicated study is needed to develop outperforming catalysts. The studies undertaken so far have shown that the best choice relies on multi-metallic systems with a suitable choice of metals, composition, size, and atomic arrangement to maximize efficiency and selectivity towards multi-carbon-based products. Special attention should also be paid to the synthetic method and/or preparation technique, for it is surely a contributing factor to the final performance, whilst also considering the eco-friendliness of the process, total time, and final cost.

Author Contributions

Conceptualization, C.G., N.J. and W.Y.; writing—original draft preparation, N.J.; writing—review and editing, C.G., N.J. and W.Y.; resources, C.G., N.J. and W.Y.; supervision, C.G.; funding acquisition, C.G. and W.Y. All authors have read and agreed to the published version of the manuscript.

Funding

C.G. acknowledges the School of Physical and Chemical Science of QMUL for financial support, N.J. acknowledges the mini-Centre-for-Doctoral-Training in CO2-Conversion@QMUL for the PhD scholarship. W.Y. acknowledges the Chinese Council Scholarship for the PhD scholarship.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Data are available from the authors.

Conflicts of Interest

The authors declare no conflict of interest.

Sample Availability

Not applicable.

References

  1. Climate Change: Atmospheric Carbon Dioxide|NOAA Climate.gov. Available online: http://www.climate.gov/news-features/understanding-climate/climate-change-atmospheric-carbon-dioxide (accessed on 15 January 2023).
  2. Global Warming Effects. Available online: https://www.nationalgeographic.com/environment/global-warming/global-warming-effects/ (accessed on 13 October 2020).
  3. Beneficial Utilisation of Carbon Dioxide|Owner Team Consultation. Available online: https://www.ownerteamconsult.com/beneficial-utilisation-of-carbon-dioxide/ (accessed on 25 January 2023).
  4. Nakata, K.; Ozaki, T.; Terashima, C.; Fujishima, A.; Einaga, Y. High-Yield Electrochemical Production of Formaldehyde from CO2 and Seawater. Angew. Chem. Int. Ed. 2014, 53, 871–874. [Google Scholar] [CrossRef] [PubMed]
  5. Ahmad, K.; Upadhyayula, S. Greenhouse Gas CO2 Hydrogenation to Fuels: A Thermodynamic Analysis: Greenhouse Gas CO2 Hydrogenation to Fuels: A Thermodynamic Analysis. Environ. Prog. Sustain. Energy 2019, 38, 98–111. [Google Scholar] [CrossRef]
  6. Wu, J.; Zhou, X.-D. Catalytic Conversion of CO2 to Value Added Fuels: Current Status, Challenges, and Future Directions. Chin. J. Catal. 2016, 37, 999–1015. [Google Scholar] [CrossRef]
  7. Lim, R.J.; Xie, M.; Sk, M.A.; Lee, J.-M.; Fisher, A.; Wang, X.; Lim, K.H. A Review on the Electrochemical Reduction of CO2 in Fuel Cells, Metal Electrodes and Molecular Catalysts. Catal. Today 2014, 233, 169–180. [Google Scholar] [CrossRef]
  8. Liang, S.; Huang, L.; Gao, Y.; Wang, Q.; Liu, B. Electrochemical Reduction of CO2 to CO over Transition Metal/N-Doped Carbon Catalysts: The Active Sites and Reaction Mechanism. Adv. Sci. 2021, 8, 2102886. [Google Scholar] [CrossRef] [PubMed]
  9. Marcandalli, G.; Monteiro, M.C.O.; Goyal, A.; Koper, M.T.M. Electrolyte Effects on CO2 Electrochemical Reduction to CO. Acc. Chem. Res. 2022, 55, 1900–1911. [Google Scholar] [CrossRef]
  10. Weekes, D.M.; Salvatore, D.A.; Reyes, A.; Huang, A.; Berlinguette, C.P. Electrolytic CO2 Reduction in a Flow Cell. Acc. Chem. Res. 2018. [Google Scholar] [CrossRef] [PubMed]
  11. Luo, W.; Zhang, J.; Li, M.; Züttel, A. Boosting CO Production in Electrocatalytic CO2 Reduction on Highly Porous Zn Catalysts. ACS Catal. 2019, 9, 3783–3791. [Google Scholar] [CrossRef]
  12. Garza, A.J.; Bell, A.T.; Head-Gordon, M. Mechanism of CO2 Reduction at Copper Surfaces: Pathways to C2 Products. ACS Catal. 2018, 8, 1490–1499. [Google Scholar] [CrossRef]
  13. Zhu, W.; Michalsky, R.; Metin, Ö.; Lv, H.; Guo, S.; Wright, C.J.; Sun, X.; Peterson, A.A.; Sun, S. Monodisperse Au Nanoparticles for Selective Electrocatalytic Reduction of CO2 to CO. J. Am. Chem. Soc. 2013, 135, 16833–16836. [Google Scholar] [CrossRef]
  14. Lu, Q.; Rosen, J.; Zhou, Y.; Hutchings, G.S.; Kimmel, Y.C.; Chen, J.G.; Jiao, F. A Selective and Efficient Electrocatalyst for Carbon Dioxide Reduction. Nat. Commun. 2014, 5, 3242. [Google Scholar] [CrossRef]
  15. Klinkova, A.; De Luna, P.; Dinh, C.-T.; Voznyy, O.; Larin, E.M.; Kumacheva, E.; Sargent, E.H. Rational Design of Efficient Palladium Catalysts for Electroreduction of Carbon Dioxide to Formate. ACS Catal. 2016, 6, 8115–8120. [Google Scholar] [CrossRef]
  16. Martin, N.M.; Velin, P.; Skoglundh, M.; Bauer, M.; Carlsson, P.-A. Catalytic Hydrogenation of CO2 to Methane over Supported Pd, Rh and Ni Catalysts. Catal. Sci. Technol. 2017, 7, 1086–1094. [Google Scholar] [CrossRef]
  17. Park, S.; Bézier, D.; Brookhart, M. An Efficient Iridium Catalyst for Reduction of Carbon Dioxide to Methane with Trialkylsilanes. J. Am. Chem. Soc. 2012, 134, 11404–11407. [Google Scholar] [CrossRef]
  18. Gao, D.; Zhou, H.; Wang, J.; Miao, S.; Yang, F.; Wang, G.; Wang, J.; Bao, X. Size-Dependent Electrocatalytic Reduction of CO2 over Pd Nanoparticles. J. Am. Chem. Soc. 2015, 137, 4288–4291. [Google Scholar] [CrossRef]
  19. Kauffman, D.R.; Alfonso, D.; Matranga, C.; Qian, H.; Jin, R. Experimental and Computational Investigation of Au25 Clusters and CO2: A Unique Interaction and Enhanced Electrocatalytic Activity. J. Am. Chem. Soc. 2012, 134, 10237–10243. [Google Scholar] [CrossRef] [PubMed]
  20. Zhang, S.; Kang, P.; Meyer, T.J. Nanostructured Tin Catalysts for Selective Electrochemical Reduction of Carbon Dioxide to Formate. J. Am. Chem. Soc. 2014, 136, 1734–1737. [Google Scholar] [CrossRef]
  21. Tan, D.; Cui, C.; Shi, J.; Luo, Z.; Zhang, B.; Tan, X.; Han, B.; Zheng, L.; Zhang, J.; Zhang, J. Nitrogen-Carbon Layer Coated Nickel Nanoparticles for Efficient Electrocatalytic Reduction of Carbon Dioxide. Nano Res. 2019, 12, 1167–1172. [Google Scholar] [CrossRef]
  22. Chew, L.M.; Ruland, H.; Schulte, H.J.; Xia, W.; Muhler, M. CO2 Hydrogenation to Hydrocarbons over Iron Nanoparticles Supported on Oxygen-Functionalized Carbon Nanotubes. J. Chem. Sci. 2014, 126, 481–486. [Google Scholar] [CrossRef]
  23. Jiang, X.; Cai, F.; Gao, D.; Dong, J.; Miao, S.; Wang, G.; Bao, X. Electrocatalytic Reduction of Carbon Dioxide over Reduced Nanoporous Zinc Oxide. Electrochem. Commun. 2016, 68, 67–70. [Google Scholar] [CrossRef]
  24. Xiao, X.; Xu, Y.; Lv, X.; Xie, J.; Liu, J.; Yu, C. Electrochemical CO2 Reduction on Copper Nanoparticles-Dispersed Carbon Aerogels. J. Colloid Interface Sci. 2019, 545, 1–7. [Google Scholar] [CrossRef]
  25. Jia, M.; Choi, C.; Wu, T.-S.; Ma, C.; Kang, P.; Tao, H.; Fan, Q.; Hong, S.; Liu, S.; Soo, Y.-L.; et al. Carbon-Supported Ni Nanoparticles for Efficient CO 2 Electroreduction. Chem. Sci. 2018, 9, 8775–8780. [Google Scholar] [CrossRef] [PubMed]
  26. Yuan, C.-Z.; Li, H.-B.; Jiang, Y.-F.; Liang, K.; Zhao, S.-J.; Fang, X.-X.; Ma, L.-B.; Zhao, T.; Lin, C.; Xu, A.-W. Tuning the Activity of N-Doped Carbon for CO2 Reduction via in Situ Encapsulation of Nickel Nanoparticles into Nano-Hybrid Carbon Substrates. J. Mater. Chem. A 2019, 7, 6894–6900. [Google Scholar] [CrossRef]
  27. Iqbal, R.; Akbar, M.B.; Ahmad, A.; Hussain, A.; Altaf, N.; Ibraheem, S.; Yasin, G.; Khan, M.A.; Tabish, M.; Kumar, A.; et al. Exploring the Synergistic Effect of Novel Ni-Fe in 2D Bimetallic Metal-Organic Frameworks for Enhanced Electrochemical Reduction of CO2. Adv. Mater. Interfaces 2022, 9, 2101505. [Google Scholar] [CrossRef]
  28. Saxena, A.; Liyanage, W.P.R.; Kapila, S.; Nath, M. Nickel Selenide as an Efficient Electrocatalyst for Selective Reduction of Carbon Dioxide to Carbon-Rich Products. Catal. Sci. Technol. 2022, 12, 4727–4739. [Google Scholar] [CrossRef]
  29. Luo, W.; Zhang, Q.; Zhang, J.; Moioli, E.; Zhao, K.; Züttel, A. Electrochemical Reconstruction of ZnO for Selective Reduction of CO2 to CO. Appl. Catal. B Environ. 2020, 273, 119060. [Google Scholar] [CrossRef]
  30. Yin, J.; Yin, Z.; Jin, J.; Sun, M.; Huang, B.; Lin, H.; Ma, Z.; Muzzio, M.; Shen, M.; Yu, C.; et al. A New Hexagonal Cobalt Nanosheet Catalyst for Selective CO2 Conversion to Ethanal. J. Am. Chem. Soc. 2021, 143, 15335–15343. [Google Scholar] [CrossRef] [PubMed]
  31. Huang, J.; Guo, X.; Yue, G.; Hu, Q.; Wang, L. Boosting CH3OH Production in Electrocatalytic CO2 Reduction over Partially Oxidized 5 Nm Cobalt Nanoparticles Dispersed on Single-Layer Nitrogen-Doped Graphene. ACS Appl. Mater. Interfaces 2018, 10, 44403–44414. [Google Scholar] [CrossRef] [PubMed]
  32. Saxena, A.; Singh, H.; Nath, M. Cobalt Telluride Electrocatalyst for Selective Electroreduction of CO2 to Value-Added Chemicals. Mater. Renew. Sustain. Energy 2022, 11, 115–129. [Google Scholar] [CrossRef]
  33. Savino, U.; Sacco, A.; Bejtka, K.; Castellino, M.; Farkhondehfal, M.A.; Chiodoni, A.; Pirri, F.; Tresso, E. Well Performing Fe-SnO2 for CO2 Reduction to HCOOH. Catal. Commun. 2022, 163, 106412. [Google Scholar] [CrossRef]
  34. Liang, C.; Kim, B.; Yang, S.; Liu, Y.; Woellner, C.F.; Li, Z.; Vajtai, R.; Yang, W.; Wu, J.; Kenis, P.J.A.; et al. High Efficiency Electrochemical Reduction of CO2 beyond the Two-Electron Transfer Pathway on Grain Boundary Rich Ultra-Small SnO2 Nanoparticles. J. Mater. Chem. A 2018, 6, 10313–10319. [Google Scholar] [CrossRef]
  35. Yuan, J.; Zhang, J.-J.; Yang, M.-P.; Meng, W.-J.; Wang, H.; Lu, J.-X. CuO Nanoparticles Supported on TiO2 with High Efficiency for CO2 Electrochemical Reduction to Ethanol. Catalysts 2018, 8, 171. [Google Scholar] [CrossRef]
  36. Mellen, G. Copper Demand & Long-Term Availability—Copper Alliance. Available online: https://copperalliance.org/ (accessed on 5 March 2023).
  37. Daily Metal Price: Copper Price (USD/Pound) Chart for the Last Month. Available online: https://www.dailymetalprice.com/metalpricecharts.php?c=cu&u=lb&d=20 (accessed on 30 March 2023).
  38. Zhao, K.; Quan, X. Carbon-Based Materials for Electrochemical Reduction of CO2 to C2+ Oxygenates: Recent Progress and Remaining Challenges. ACS Catal. 2021, 11, 2076–2097. [Google Scholar] [CrossRef]
  39. Marepally, B.C.; Ampelli, C.; Genovese, C.; Sayah, R.; Veyre, L.; Dalverny, C.; Thieuleux, C.; Quadrelli, E.A.; Perathoner, S.; Centi, G. Supported Metallic Nanoparticles Prepared by an Organometallic Route to Boost the Electrocatalytic Conversion of CO2. J. CO2 Util. 2021, 50, 101613. [Google Scholar] [CrossRef]
  40. Carbon Nanotubes (CNTs)|Buy Online. Available online: https://www.ossila.com/collections/carbon-nanotubes (accessed on 30 March 2023).
  41. Graphene Powders|Buy Online for Low Price. Available online: https://www.ossila.com/products/graphene-powders (accessed on 27 March 2023).
  42. Nanodiamonds, Extra Pure, Grade G02. Available online: https://shop.plasmachem.com/nano-diamonds-and-carbon/32-112-nanodiamonds-extra-pure-grade-g02.html (accessed on 27 March 2023).
  43. Jia, Y.; Li, F.; Fan, K.; Sun, L. Cu-Based Bimetallic Electrocatalysts for CO2 Reduction. Adv. Powder Mater. 2022, 1, 100012. [Google Scholar] [CrossRef]
  44. Dewulf, D.W.; Bard, A.J. The Electrochemical Reduction of CO2 to CH4 and C2H4 at Cu/Nafion Electrodes (Solid Polymer Electrolyte Structures). Catal Lett 1988, 1, 73–79. [Google Scholar] [CrossRef]
  45. Watanabe, M.; Shibata, M.; Kato, A.; Azuma, M.; Sakata, T. Design of Alloy Electrocatalysts for CO2 Reduction: III. The Selective and Reversible Reduction of on Cu Alloy Electrodes. J. Electrochem. Soc. 1991, 138, 3382–3389. [Google Scholar] [CrossRef]
  46. Yano, J.; Morita, T.; Shimano, K.; Nagami, Y.; Yamasaki, S. Selective Ethylene Formation by Pulse-Mode Electrochemical Reduction of Carbon Dioxide Using Copper and Copper-Oxide Electrodes. J Solid State Electrochem 2007, 11, 554–557. [Google Scholar] [CrossRef]
  47. Xu, Z.; Lai, E.; Shao-Horn, Y.; Hamad-Schifferli, K. Compositional Dependence of the Stability of AuCu Alloy Nanoparticles. Chem. Commun. 2012, 48, 5626. [Google Scholar] [CrossRef]
  48. Baturina, O.A.; Lu, Q.; Padilla, M.A.; Xin, L.; Li, W.; Serov, A.; Artyushkova, K.; Atanassov, P.; Xu, F.; Epshteyn, A.; et al. CO2 Electroreduction to Hydrocarbons on Carbon-Supported Cu Nanoparticles. ACS Catal. 2014, 4, 3682–3695. [Google Scholar] [CrossRef]
  49. Rasul, S.; Anjum, D.H.; Jedidi, A.; Minenkov, Y.; Cavallo, L.; Takanabe, K. A Highly Selective Copper-Indium Bimetallic Electrocatalyst for the Electrochemical Reduction of Aqueous CO2 to CO. Angew. Chem. Int. Ed. 2015, 54, 2146–2150. [Google Scholar] [CrossRef] [PubMed]
  50. Ren, D.; Ang, B.S.-H.; Yeo, B.S. Tuning the Selectivity of Carbon Dioxide Electroreduction toward Ethanol on Oxide-Derived CuxZn Catalysts. ACS Catal. 2016, 6, 8239–8247. [Google Scholar] [CrossRef]
  51. Clark, E.L.; Hahn, C.; Jaramillo, T.F.; Bell, A.T. Electrochemical CO2 Reduction over Compressively Strained CuAg Surface Alloys with Enhanced Multi-Carbon Oxygenate Selectivity. J. Am. Chem. Soc. 2017, 139, 15848–15857. [Google Scholar] [CrossRef] [PubMed]
  52. Zeng, J.; Bejtka, K.; Ju, W.; Castellino, M.; Chiodoni, A.; Sacco, A.; Farkhondehfal, M.A.; Hernández, S.; Rentsch, D.; Battaglia, C.; et al. Advanced Cu-Sn Foam for Selectively Converting CO2 to CO in Aqueous Solution. Appl. Catal. B Environ. 2018, 236, 475–482. [Google Scholar] [CrossRef]
  53. Yang, D.; Zhu, Q.; Chen, C.; Liu, H.; Liu, Z.; Zhao, Z.; Zhang, X.; Liu, S.; Han, B. Selective Electroreduction of Carbon Dioxide to Methanol on Copper Selenide Nanocatalysts. Nat. Commun. 2019, 10, 677. [Google Scholar] [CrossRef]
  54. Li, D.; Liu, T.; Huang, L.; Wu, J.; Li, J.; Zhen, L.; Feng, Y. Selective CO2-to-Formate Electrochemical Conversion with Core–Shell Structured Cu2O/Cu@C Composites Immobilized on Nitrogen-Doped Graphene Sheets. J. Mater. Chem. A 2020, 8, 18302–18309. [Google Scholar] [CrossRef]
  55. Xiong, Y.; Wei, B.; Wu, M.; Hu, B.; Zhu, F.; Hao, J.; Shi, W. Rapid Synthesis of Amorphous Bimetallic Copper-Bismuth Electrocatalysts for Efficient Electrochemical CO2 Reduction to Formate in a Wide Potential Window. J. CO2 Util. 2021, 51, 101621. [Google Scholar] [CrossRef]
  56. Hussain, N.; Abdelkareem, M.A.; Alawadhi, H.; Begum, S.; Elsaid, K.; Olabi, A.G. Novel Ternary CuO–ZnO–MoS2 Composite Material for Electrochemical CO2 Reduction to Alcohols. J. Power Sources 2022, 549, 232128. [Google Scholar] [CrossRef]
  57. Yuan, W.; Jeyachandran, N.; Rao, T.; Ghulam Nabi, A.; Bisetto, M.; Di Tommaso, D.; Montini, T.; Giordano, C. Study on the Structure vs Activity of Designed Non-Precious Metal Electrocatalysts for CO2 Conversion. Mater. Lett. 2023, 341, 134167. [Google Scholar] [CrossRef]
  58. Duan, Y.-X.; Meng, F.-L.; Liu, K.-H.; Yi, S.-S.; Li, S.-J.; Yan, J.-M.; Jiang, Q. Amorphizing of Cu Nanoparticles toward Highly Efficient and Robust Electrocatalyst for CO2 Reduction to Liquid Fuels with High Faradaic Efficiencies. Adv. Mater. 2018, 30, 1706194. [Google Scholar] [CrossRef]
  59. Nadagouda, M.N.; Varma, R.S. Synthesis of Thermally Stable Carboxymethyl Cellulose/Metal Biodegradable Nanocomposites for Potential Biological Applications. Biomacromolecules 2007, 8, 2762–2767. [Google Scholar] [CrossRef]
  60. Zhou, R.; Wu, X.; Hao, X.; Zhou, F.; Li, H.; Rao, W. Influences of Surfactants on the Preparation of Copper Nanoparticles by Electron Beam Irradiation. Nucl. Instrum. Methods Phys. Res. Sect. B Beam Interact. Mater. At. 2008, 266, 599–603. [Google Scholar] [CrossRef]
  61. Muniz-Miranda, M.; Gellini, C.; Giorgetti, E. Surface-Enhanced Raman Scattering from Copper Nanoparticles Obtained by Laser Ablation. J. Phys. Chem. C 2011, 115, 5021–5027. [Google Scholar] [CrossRef]
  62. Salavati-Niasari, M.; Davar, F. Synthesis of Copper and Copper(I) Oxide Nanoparticles by Thermal Decomposition of a New Precursor. Mater. Lett. 2009, 63, 441–443. [Google Scholar] [CrossRef]
  63. Mallick, K.; Witcomb, M.J.; Scurrell, M.S. In Situ Synthesis of Copper Nanoparticles and Poly(o-Toluidine): A Metal–Polymer Composite Material. Eur. Polym. J. 2006, 42, 670–675. [Google Scholar] [CrossRef]
  64. Solanki, J.N.; Sengupta, R.; Murthy, Z.V.P. Synthesis of Copper Sulphide and Copper Nanoparticles with Microemulsion Method. Solid State Sci. 2010, 12, 1560–1566. [Google Scholar] [CrossRef]
  65. Chen, S.; Sommers, J.M. Alkanethiolate-Protected Copper Nanoparticles:  Spectroscopy, Electrochemistry, and Solid-State Morphological Evolution. J. Phys. Chem. B 2001, 105, 8816–8820. [Google Scholar] [CrossRef]
  66. Kim, D.; Resasco, J.; Yu, Y.; Asiri, A.M.; Yang, P. Synergistic Geometric and Electronic Effects for Electrochemical Reduction of Carbon Dioxide Using Gold–Copper Bimetallic Nanoparticles. Nat. Commun. 2014, 5, 4948. [Google Scholar] [CrossRef]
  67. Ma, S.; Sadakiyo, M.; Heima, M.; Luo, R.; Haasch, R.T.; Gold, J.I.; Yamauchi, M.; Kenis, P.J.A. Electroreduction of Carbon Dioxide to Hydrocarbons Using Bimetallic Cu–Pd Catalysts with Different Mixing Patterns. J. Am. Chem. Soc. 2017, 139, 47–50. [Google Scholar] [CrossRef]
  68. Tan, D.; Zhang, J.; Cheng, X.; Tan, X.; Shi, J.; Zhang, B.; Han, B.; Zheng, L.; Zhang, J. CuxNiy Alloy Nanoparticles Embedded in a Nitrogen–Carbon Network for Efficient Conversion of Carbon Dioxide. Chem. Sci. 2019, 10, 4491–4496. [Google Scholar] [CrossRef]
  69. Du, X.; Peng, L.; Hu, J.; Peng, Y.; Primo, A.; Li, D.; Albero, J.; Hu, C.; García, H. Synergistic Effect of Cu and Fe Small Nanoparticles Supported on Porous N-Doped Graphitic Framework for Selective Electrochemical CO2 Reduction at Low Overpotential. Nanoscale 2022, 14, 11583–11589. [Google Scholar] [CrossRef] [PubMed]
  70. Li, Q.; Fu, J.; Zhu, W.; Chen, Z.; Shen, B.; Wu, L.; Xi, Z.; Wang, T.; Lu, G.; Zhu, J.; et al. Tuning Sn-Catalysis for Electrochemical Reduction of CO2 to CO via the Core/Shell Cu/SnO2 Structure. J. Am. Chem. Soc. 2017, 139, 4290–4293. [Google Scholar] [CrossRef]
  71. Su, X.; Sun, Y.; Jin, L.; Zhang, L.; Yang, Y.; Kerns, P.; Liu, B.; Li, S.; He, J. Hierarchically Porous Cu/Zn Bimetallic Catalysts for Highly Selective CO2 Electroreduction to Liquid C2 Products. Appl. Catal. B Environ. 2020, 269, 118800. [Google Scholar] [CrossRef]
  72. Li, H.; Yue, X.; Che, J.; Xiao, Z.; Yu, X.; Sun, F.; Xue, C.; Xiang, J. High Performance 3D Self-Supporting Cu−Bi Aerogels for Electrocatalytic Reduction of CO2 to Formate. ChemSusChem 2022, 15, e202200226. [Google Scholar] [CrossRef] [PubMed]
  73. Jenkins, J.A.; Wax, T.J.; Zhao, J. Seed-Mediated Synthesis of Gold Nanoparticles of Controlled Sizes To Demonstrate the Impact of Size on Optical Properties. J. Chem. Educ. 2017, 94, 1090–1093. [Google Scholar] [CrossRef]
  74. Podlesnaia, E.; Csáki, A.; Fritzsche, W. Time Optimization of Seed-Mediated Gold Nanotriangle Synthesis Based on Kinetic Studies. Nanomaterials 2021, 11, 1049. [Google Scholar] [CrossRef]
  75. Zhang, S.; Zhao, S.; Qu, D.; Liu, X.; Wu, Y.; Chen, Y.; Huang, W. Electrochemical Reduction of CO2 Toward C2 Valuables on Cu@Ag Core-Shell Tandem Catalyst with Tunable Shell Thickness. Small 2021, 17, 2102293. [Google Scholar] [CrossRef]
  76. Kim, C.; Jeon, H.S.; Eom, T.; Jee, M.S.; Kim, H.; Friend, C.M.; Min, B.K.; Hwang, Y.J. Achieving Selective and Efficient Electrocatalytic Activity for CO2 Reduction Using Immobilized Silver Nanoparticles. J. Am. Chem. Soc. 2015, 137, 13844–13850. [Google Scholar] [CrossRef]
  77. Wan, L.; Zhang, X.; Cheng, J.; Chen, R.; Wu, L.; Shi, J.; Luo, J. Bimetallic Cu–Zn Catalysts for Electrochemical CO2 Reduction: Phase-Separated versus Core–Shell Distribution. ACS Catal. 2022, 12, 2741–2748. [Google Scholar] [CrossRef]
  78. Li, C.W.; Ciston, J.; Kanan, M.W. Electroreduction of Carbon Monoxide to Liquid Fuel on Oxide-Derived Nanocrystalline Copper. Nature 2014, 508, 504–507. [Google Scholar] [CrossRef]
  79. Kuhl, K.P.; Hatsukade, T.; Cave, E.R.; Abram, D.N.; Kibsgaard, J.; Jaramillo, T.F. Electrocatalytic Conversion of Carbon Dioxide to Methane and Methanol on Transition Metal Surfaces. J. Am. Chem. Soc. 2014, 136, 14107–14113. [Google Scholar] [CrossRef]
  80. Wang, P.; Yang, H.; Xu, Y.; Huang, X.; Wang, J.; Zhong, M.; Cheng, T.; Shao, Q. Synergized Cu/Pb Core/Shell Electrocatalyst for High-Efficiency CO2 Reduction to C2+ Liquids. ACS Nano 2021, 15, 1039–1047. [Google Scholar] [CrossRef]
  81. Tan, K.H.; Tajuddin, H.A.; Johan, M.R. Feasibility Study on the Use of the Seeding Growth Technique in Producing a Highly Stable Gold Nanoparticle Colloidal System. J. Nanomater. 2015, 2015, e537125. [Google Scholar] [CrossRef]
  82. da Silva, A.G.M.; Rodrigues, T.S.; Haigh, S.J.; Camargo, P.H.C. Galvanic Replacement Reaction: Recent Developments for Engineering Metal Nanostructures towards Catalytic Applications. Chem. Commun. 2017, 53, 7135–7148. [Google Scholar] [CrossRef] [PubMed]
  83. Luc, W.; Collins, C.; Wang, S.; Xin, H.; He, K.; Kang, Y.; Jiao, F. Ag–Sn Bimetallic Catalyst with a Core–Shell Structure for CO2 Reduction. J. Am. Chem. Soc. 2017, 139, 1885–1893. [Google Scholar] [CrossRef] [PubMed]
  84. Xie, H.; Chen, S.; Ma, F.; Liang, J.; Miao, Z.; Wang, T.; Wang, H.-L.; Huang, Y.; Li, Q. Boosting Tunable Syngas Formation via Electrochemical CO2 Reduction on Cu/In2O3 Core/Shell Nanoparticles. ACS Appl. Mater. Interfaces 2018, 10, 36996–37004. [Google Scholar] [CrossRef]
  85. 4.1. Hydrothermal/Solvothermal Method. Available online: https://bio-protocol.org/exchange/minidetail?type=30&id=9036714 (accessed on 13 February 2023).
  86. Sun, K.; Cheng, T.; Wu, L.; Hu, Y.; Zhou, J.; Maclennan, A.; Jiang, Z.; Gao, Y.; Goddard, W.A.I.; Wang, Z. Ultrahigh Mass Activity for Carbon Dioxide Reduction Enabled by Gold–Iron Core–Shell Nanoparticles. J. Am. Chem. Soc. 2017, 139, 15608–15611. [Google Scholar] [CrossRef] [PubMed]
  87. Jiménez, C.; Cerrillo, M.I.; Martínez, F.; Camarillo, R.; Rincón, J. Effect of Carbon Support on the Catalytic Activity of Copper-Based Catalyst in CO2 Electroreduction. Sep. Purif. Technol. 2020, 248, 117083. [Google Scholar] [CrossRef]
  88. Li, Q.; Zhu, W.; Fu, J.; Zhang, H.; Wu, G.; Sun, S. Controlled Assembly of Cu Nanoparticles on Pyridinic-N Rich Graphene for Electrochemical Reduction of CO2 to Ethylene. Nano Energy 2016, 24, 1–9. [Google Scholar] [CrossRef]
  89. Single Walled Carbon Nanotubes. Cheap Tubes. Available online: https://www.cheaptubes.com/product-category/single-walled-carbon-nanotubes/ (accessed on 26 March 2023).
  90. Yang, Q.; Wu, Q.; Liu, Y.; Luo, S.; Wu, X.; Zhao, X.; Zou, H.; Long, B.; Chen, W.; Liao, Y.; et al. Novel Bi-Doped Amorphous SnOx Nanoshells for Efficient Electrochemical CO2 Reduction into Formate at Low Overpotentials. Adv. Mater. 2020, 32, 2002822. [Google Scholar] [CrossRef]
  91. Yin, P.-F.; Fu, J.; Yun, Q.; Chen, B.; Liu, G.; Li, L.; Huang, Z.; Ge, Y.; Zhang, H. Preparation of Amorphous SnO2-Encapsulated Multiphased Crystalline Cu Heterostructures for Highly Efficient CO2 Reduction. Adv. Mater. 2022, 34, 2201114. [Google Scholar] [CrossRef] [PubMed]
  92. Wang, Z.; Yuan, Q.; Shan, J.; Jiang, Z.; Xu, P.; Hu, Y.; Zhou, J.; Wu, L.; Niu, Z.; Sun, J.; et al. Highly Selective Electrocatalytic Reduction of CO2 into Methane on Cu–Bi Nanoalloys. J. Phys. Chem. Lett. 2020, 11, 7261–7266. [Google Scholar] [CrossRef]
  93. Wang, C.; Cao, M.; Jiang, X.; Wang, M.; Shen, Y. A Catalyst Based on Copper-Cadmium Bimetal for Electrochemical Reduction of CO2 to CO with High Faradaic Efficiency. Electrochim. Acta 2018, 271, 544–550. [Google Scholar] [CrossRef]
  94. He, C.; Wang, S.; Jiang, X.; Hu, Q.; Yang, H.; He, C. Bimetallic Cobalt–Copper Nanoparticle-Decorated Hollow Carbon Nanofibers for Efficient CO2 Electroreduction. Front. Chem. 2022, 10, 904241. [Google Scholar] [CrossRef]
  95. Saxena, A.; Kapila, S.; Medvedeva, J.E.; Nath, M. Copper Cobalt Selenide as a Bifunctional Electrocatalyst for the Selective Reduction of CO2 to Carbon-Rich Products and Alcohol Oxidation. ACS Appl. Mater. Interfaces 2023, 15, 14433–14446. [Google Scholar] [CrossRef]
  96. Bernal, M.; Bagger, A.; Scholten, F.; Sinev, I.; Bergmann, A.; Ahmadi, M.; Rossmeisl, J.; Cuenya, B.R. CO2 Electroreduction on Copper-Cobalt Nanoparticles: Size and Composition Effect. Nano Energy 2018, 53, 27–36. [Google Scholar] [CrossRef]
  97. Zhu, M.; Tian, P.; Li, J.; Chen, J.; Xu, J.; Han, Y.-F. Structure-Tunable Copper–Indium Catalysts for Highly Selective CO2 Electroreduction to CO or HCOOH. ChemSusChem 2019, 12, 3955–3959. [Google Scholar] [CrossRef]
  98. Dai, L.; Qin, Q.; Wang, P.; Zhao, X.; Hu, C.; Liu, P.; Qin, R.; Chen, M.; Ou, D.; Xu, C.; et al. Ultrastable Atomic Copper Nanosheets for Selective Electrochemical Reduction of Carbon Dioxide. Sci. Adv. 2017, 3, e1701069. [Google Scholar] [CrossRef]
  99. Saxena, A.; Liyanage, W.; Masud, J.; Kapila, S.; Nath, M. Selective Electroreduction of CO2 to Carbon-Rich Products with a Simple Binary Copper Selenide Electrocatalyst. J. Mater. Chem. A 2021, 9, 7150–7161. [Google Scholar] [CrossRef]
  100. Xiong, W.; Yang, J.; Shuai, L.; Hou, Y.; Qiu, M.; Li, X.; Leung, M.K.H. CuSn Alloy Nanoparticles on Nitrogen-Doped Graphene for Electrocatalytic CO2 Reduction. ChemElectroChem 2019, 6, 5951–5957. [Google Scholar] [CrossRef]
  101. Lu, Q.; Hutchings, G.S.; Yu, W.; Zhou, Y.; Forest, R.V.; Tao, R.; Rosen, J.; Yonemoto, B.T.; Cao, Z.; Zheng, H.; et al. Highly Porous Non-Precious Bimetallic Electrocatalysts for Efficient Hydrogen Evolution. Nat. Commun. 2015, 6, 6567. [Google Scholar] [CrossRef] [PubMed]
  102. Guo, X.; Zhang, Y.; Deng, C.; Li, X.; Xue, Y.; Yan, Y.-M.; Sun, K. Composition Dependent Activity of Cu–Pt Nanocrystals for Electrochemical Reduction of CO2. Chem. Commun. 2015, 51, 1345–1348. [Google Scholar] [CrossRef] [PubMed]
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Figure 1. Overview of different products derived from the electrocatalytic CO2 reduction reaction (CO2RR).
Figure 1. Overview of different products derived from the electrocatalytic CO2 reduction reaction (CO2RR).
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Figure 2. Scheme showing some possible pathways for the CO2 reduction to C1 and C2 products.
Figure 2. Scheme showing some possible pathways for the CO2 reduction to C1 and C2 products.
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Figure 3. TEM images of (a) the 8 nm Au NPs and (b) the C-Au NPs (embedded in carbon matrix). (c) Potential-dependent FEs of the C-Au on electrocatalytic reduction of CO2 to CO. (d) Current densities for CO formation (mass activities) on the C-Au at various potentials. Reprinted (adapted) with permission from [13]. Copyright 2013 American Chemical Society.
Figure 3. TEM images of (a) the 8 nm Au NPs and (b) the C-Au NPs (embedded in carbon matrix). (c) Potential-dependent FEs of the C-Au on electrocatalytic reduction of CO2 to CO. (d) Current densities for CO formation (mass activities) on the C-Au at various potentials. Reprinted (adapted) with permission from [13]. Copyright 2013 American Chemical Society.
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Figure 4. SEM images of Pd NPs used for electrode fabrication: NCs (a), RDs (b), BNPs (c), NPs with mixed low-index facets (d), and Pd black (e). Scale bar 100 nm. Reprinted (adapted) with permission from [15]. Copyright 2016 American Chemical Society.
Figure 4. SEM images of Pd NPs used for electrode fabrication: NCs (a), RDs (b), BNPs (c), NPs with mixed low-index facets (d), and Pd black (e). Scale bar 100 nm. Reprinted (adapted) with permission from [15]. Copyright 2016 American Chemical Society.
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Figure 5. Particle size dependence of faradaic efficiencies for CO2 reduction to formate on Sn catalysts. Reprinted (adapted) with permission from [20]. Copyright 2014, American Chemical Society.
Figure 5. Particle size dependence of faradaic efficiencies for CO2 reduction to formate on Sn catalysts. Reprinted (adapted) with permission from [20]. Copyright 2014, American Chemical Society.
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Figure 6. A timeline showing the development of Cu and Cu-based catalysts for the electrochemical reduction of CO2 into value-added fuels from 1988 to 2023 (from left to right, respectively) [44,45,46,47,48,49,50,51,52,53,54,55,56,57].
Figure 6. A timeline showing the development of Cu and Cu-based catalysts for the electrochemical reduction of CO2 into value-added fuels from 1988 to 2023 (from left to right, respectively) [44,45,46,47,48,49,50,51,52,53,54,55,56,57].
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Figure 7. Scheme showing the different combinations of copper-based bimetallic catalysts so far reported in the literature for CO2 reduction, with their characteristics and general selectivity.
Figure 7. Scheme showing the different combinations of copper-based bimetallic catalysts so far reported in the literature for CO2 reduction, with their characteristics and general selectivity.
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Figure 8. Faradaic efficiencies for (a) CO; (b) CH4; (c) C2H4; and (d) C2H5OH for catalysts with different Cu:Pd ratios: Cu, Cu3Pd, CuPd, CuPd3, and Pd. Reprinted (adapted) with permission from [67]. Copyright 2017 American Chemical Society.
Figure 8. Faradaic efficiencies for (a) CO; (b) CH4; (c) C2H4; and (d) C2H5OH for catalysts with different Cu:Pd ratios: Cu, Cu3Pd, CuPd, CuPd3, and Pd. Reprinted (adapted) with permission from [67]. Copyright 2017 American Chemical Society.
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Figure 9. TEM images of (a) 7 nm Cu NPs and (b) Cu/SnO2 (0.8 nm shell thickness) NPs. (c) HR-TEM image of a representative Cu/SnO2 (0.8 nm shell thickness) NP. (d) EELS elemental mapping of Cu and Sn in a 0.8 nm Cu/SnO2 NP. Reduction potential-dependent FE’s for electrochemical reduction of CO2 measured on (e) C-Cu/SnO2-0.8 and (f) C-Cu/SnO2-1.8 catalysts. Reprinted (adapted) with permission from [70]. Copyright 2017 American Chemical Society.
Figure 9. TEM images of (a) 7 nm Cu NPs and (b) Cu/SnO2 (0.8 nm shell thickness) NPs. (c) HR-TEM image of a representative Cu/SnO2 (0.8 nm shell thickness) NP. (d) EELS elemental mapping of Cu and Sn in a 0.8 nm Cu/SnO2 NP. Reduction potential-dependent FE’s for electrochemical reduction of CO2 measured on (e) C-Cu/SnO2-0.8 and (f) C-Cu/SnO2-1.8 catalysts. Reprinted (adapted) with permission from [70]. Copyright 2017 American Chemical Society.
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Figure 10. Schematic illustration of surface element redistribution in (a) core–shell and (b) phase-separated samples. Electrochemical CO2 reduction performance. (c) Linear sweep voltammetry curves of phase-separated and core–shell samples in a CO2-saturated 0.1 M KHCO3 solution. (e) FE of the main products of core–shell and phase-separated samples. The long-term stability test of (d) phase-separated and (f) core–shell samples. Reprinted (adapted) with permission from [77]. Copyright 2022, American Chemical Society.
Figure 10. Schematic illustration of surface element redistribution in (a) core–shell and (b) phase-separated samples. Electrochemical CO2 reduction performance. (c) Linear sweep voltammetry curves of phase-separated and core–shell samples in a CO2-saturated 0.1 M KHCO3 solution. (e) FE of the main products of core–shell and phase-separated samples. The long-term stability test of (d) phase-separated and (f) core–shell samples. Reprinted (adapted) with permission from [77]. Copyright 2022, American Chemical Society.
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Figure 11. Faradaic efficiencies vs. potential for H2 (solid black squares), CO (solid red circles), CH4 (solid blue triangles), and C2H4 (magenta solid upside-down triangles) generation at thin films of (a) 40 wt % Cu/VC, (b) 20 wt % Cu/SWNT, (c) 50 wt % Cu/KB, (d) 20 wt % Cu/VC, and (e) electrodeposited Cu. Green diamonds: total faradaic efficiencies for H2, CO, CH4, and C2H4 generation. Reprinted (adapted) with permission from [48]. Copyright 2019, American Chemical Society.
Figure 11. Faradaic efficiencies vs. potential for H2 (solid black squares), CO (solid red circles), CH4 (solid blue triangles), and C2H4 (magenta solid upside-down triangles) generation at thin films of (a) 40 wt % Cu/VC, (b) 20 wt % Cu/SWNT, (c) 50 wt % Cu/KB, (d) 20 wt % Cu/VC, and (e) electrodeposited Cu. Green diamonds: total faradaic efficiencies for H2, CO, CH4, and C2H4 generation. Reprinted (adapted) with permission from [48]. Copyright 2019, American Chemical Society.
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Table
Table 1. The standard potentials for the electrochemical reduction of CO2 [6].
Table 1. The standard potentials for the electrochemical reduction of CO2 [6].
ReactionE0/V vs. SHE
CO2 + 2H+ + 2e− → CO + H2O−0.53
CO2 + 2H+ + 2e− → HCOOH −0.61
CO2 + 6H+ + 6e− → CH3OH + H2O−0.38
CO2 + 8H+ + 8e− → CH4 + 2H2O−0.24
2CO2 + 12H+ + 12e− → C2H4 + 4H2O−0.34
Table
Table 2. Summary of noble metal-based electrocatalysts for CO2RR.
Table 2. Summary of noble metal-based electrocatalysts for CO2RR.
ElectrocatalystsMain ProductFE (%)Potential (V vs. RHE)Reference
Au nanoparticles (8 nm)CO90−0.67 [13]
Nanoporous AgCO92−0.60[14]
Branched Pd nanoparticles ~100 nm)HCOOH97−0.20[15]
Pd nanoparticles (3.7 nm)CO91.2−0.89[18]
Rh/Al2O3CH4--[16]
(POCOP)Ir(H)(HSiR3)CH4--[17]
Table
Table 4. Comparison of core/shell-based systems for CO2RR.
Table 4. Comparison of core/shell-based systems for CO2RR.
CompositionMethodAdvantage/Disadvantage
of the Synthetic Method		ElectrolyteFE (%)Potential
(V vs. RHE)		Main ProductRef
Cu/Pb nanocrystalsChemical reductionAdvantages:
large-scale production and no chemical purification is required.
Disadvantages:
size distribution 		1 M KOH~331.3C2+ Liquid[80]
Ag3Sn@SnOX NPsSeed growth and galvanic displacement methodAdvantage of seed growth: good control of NP size [81].
Advantages of the galvanic displacement method: fine particle and morphology control [82].		0.5 M NaHCO3~80−0.8Formate[83]
Cu@SnO2 0.8 nmSeed-mediated method via the decomposition of tin acetylacetonateDisadvantage: the instability of the seeds [74].0.5 M KHCO393−0.7CO[70]
Cu@SnO2 1.8 nm85−0.9Formate
Cu@Ag2 core/shell NPsTwo step reduction process 1.0 M KOH32.2−1.1C2H4 [75]
Cu/In2O3Seed-mediated method via the decomposition of In(acac)3 0.5 M KHCO3~70−0.7CO[84]
Au-Fe core-shell NPs Solvothermal method Advantage: good control in both liquid-phase and multiphase chemical reactions.
Disadvantages: expensive and requires high temperatures [85].		0.5 M KHCO397.6−0.4CO[86]
Despite these promising results, the yield towards the preparation of more complex products remains a challenge, i.e., the so-called C2 (C2H4, C2H5OH), C3 (C3H6, C3H7OH), and C4 (C4H7, C4H8O) products.
Table
Table 5. Comparison of amorphous bimetallic electrocatalysts for CO2RR in the literature.
Table 5. Comparison of amorphous bimetallic electrocatalysts for CO2RR in the literature.
CompositionSynthetic MethodElectrolyteFE (%)Potential
(V vs. RHE)		Main ProductRef
Sn1-xBix alloy NPs with natively bi-doped amorphous SnOx nanoshellsCo-reduction0.5 M KHCO395.8−0.88Formate[90]
Amorphous CuBiElectrodeposition method0.5 M KHCO3>94.7−1.0Formate[55]
Crystalline Cu@amorphous SnO2One pot wet chemical method0.1 M KHCO370−1.45Formate[91]
Table
Table 6. The various Cu-based nanocatalysts used for CO2RR.
Table 6. The various Cu-based nanocatalysts used for CO2RR.
Composition Support (If Any)FE (%)Potential
(V vs. RHE)		Main
Product		Advantages/DisadvantagesRef
Cu NPs R5 11−1.5 V vs. Ag/AgClCOGreen sol-gel methodology.
No use of additives, supports, or co-catalysts.		[57]
Sn NPs R5 13−1.5 V vs. Ag/AgClCOGreen sol-gel methodology.[57]
CuSn alloy NPs R5 19−1.5 V vs. Ag/AgClCOGood control of composition and structure for the formation of nano-alloy.[57]
Cu@Sn-B core/shell NPs R5 51−1.5 V vs. Ag/AgClCOGood control of composition and structure for the formation of core-shell.[57]
Sn@Cu-C core/shell NPs R5 32−1.5 V vs. Ag/AgClCOGood control of composition and structure for the formation of core-shell.[57]
Cu-Bi NPs-70.6−1.2CH4High potential required.[92]
Cu-Cd -84−1.0COCd is toxic.[93]
Cu-Co NPsCarbon nanofibers 68%−0.8COCo is toxic.[94]
CuCo2Se4 98−0.25CH3COOHThe presence of a Co center reduces catalyst poisoning.[95]
CuCo NPs->85−1.1H2Co is toxic and favors HER[96]
CuFePorous N-doped graphitic carbon96−0.3COFe is inexpensive and abundant.[69]
CuInCarbon nanotubes88.1−0.6COIn is unstable, scarce, and expensive.[97]
CuNi NPsNitrogen-carbon network 94.5−0.6CONi is cheap and non-toxic.[68]
CuNi nanosheet -92−0.5COCuNi nanosheet is air-stable and behaves similarly to Au and Ag.[98]
CuSe2 NPs 84−0.6EtOH [99]
CuSn NPs
Sn NPs		Nitrogen Doped Graphene 60
54		−1.0HCOO- and CO Sn is abundant and inexpensive.[100]
Porous CuTi - H2 Favors HER.[101]
CuPt nanocrystals - −1.6H2Pt is expensive.
Strong affinity between Pt and CO*. Hence, favoring HER over CH4 production.		[102]
CuOx-ZnO phase-separated nanowires
CuOx-ZnO Core-shell 		-94
82		−1.0COZn is inexpensive.[77]
Oxide-derived Cu4Zn -29.1−1.05C2H5OH [50]
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Jeyachandran, N.; Yuan, W.; Giordano, C. Cutting-Edge Electrocatalysts for CO2RR. Molecules 2023, 28, 3504. https://doi.org/10.3390/molecules28083504

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Jeyachandran N, Yuan W, Giordano C. Cutting-Edge Electrocatalysts for CO2RR. Molecules. 2023; 28(8):3504. https://doi.org/10.3390/molecules28083504

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Jeyachandran, Nivetha, Wangchao Yuan, and Cristina Giordano. 2023. "Cutting-Edge Electrocatalysts for CO2RR" Molecules 28, no. 8: 3504. https://doi.org/10.3390/molecules28083504

APA Style

Jeyachandran, N., Yuan, W., & Giordano, C. (2023). Cutting-Edge Electrocatalysts for CO2RR. Molecules, 28(8), 3504. https://doi.org/10.3390/molecules28083504

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