Synergistically enhanced single-atomic site catalysts for clean energy conversion

Fa Yang abc and Weilin Xu *ac
aState Key Laboratory of Electroanalytical Chemistry, Jilin Province Key Laboratory of Low Carbon Chemical Power, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun 130022, China. E-mail: weilinxu@ciac.ac.cn
bKey Laboratory of the Ministry of Education for Advanced Catalysis Materials, College of Chemistry and Life Sciences, Zhejiang Normal University, Jinhua 321004, China. E-mail: yangfa@zjnu.edu.cn
cUniversity of Science and Technology of China, Hefei, Anhui 230026, China

Received 3rd October 2021 , Accepted 7th November 2021

First published on 10th November 2021


Abstract

The development of cost-effective, high-performance catalysts at the atomic level has become a challenging issue for large-scale applications of renewable clean energy conversion. With adjustable structural characteristics and maximum atomic utilization efficiency, single-atomic site catalysts (SACs) are considered to be the most potential next-generation materials. Moreover, the introduction and coupling of some synergistic components is desirable to accurately regulate the structural interactions and lead to improved activity. In addition to the strong metal–support interaction (SMSI) in SACs, there is tremendous opportunity to explore and develop the synergistic effect of SAC-nanoparticles (SAC-NPs), SAC-clusters (SACCs), dual-atom site catalysts (DACs), and single-atomic alloys (SAAs). Moreover, these unique synergistic structures between adjacent atomic sites could still maintain their high atomically dispersed nature and stability. In this review, we begin by introducing the types, synthetic strategies and characterization methods of SAC-NPs, SACCs, DACs and SAAs, discussing the key factors controlling their structures. We then review several important clean energy catalytic reactions performed over these atomic-coupling structures, and compare the respective advantages and disadvantages of SACs, SAC-NPs, SACCs, DACs and SAAs. Finally, the challenges and perspectives of this unique single-atomic site synergistic effect are suggested. We believe that this critical review provides guidance for the rational design of new single-atomic site catalysts for clean energy conversion.


image file: d1ta08561a-p1.tif

Fa Yang

Fa Yang received his PhD degree from the University of Science and Technology of China and Changchun Institute of Applied Chemistry (CIAC), Chinese Academy of Sciences in 2020, and then he worked at Zhejiang Normal University as a Distinguished Professor. His research studies focus on CO2 electroreduction and in situ spectro-electrochemistry (ATR-IR and SERS).

image file: d1ta08561a-p2.tif

Weilin Xu

Prof. Weilin Xu received his PhD degree from Changchun Institute of Applied Chemistry (CIAC), Chinese Academy of Sciences in 2006. He did postdoc research at Cornell University, UC Berkeley and the Lawrence Berkeley National Lab from 2007 to 2011. After that, he built his own research group in CIAC by focusing on energy-process related basic and practical research, including single-molecule nanocatalysis, development of functional materials for the oxygen reduction reaction (ORR), oxygen-evolution reaction (OER), hydrogen-evolution reaction (HER), CO2 reduction reaction (CO2RR) and nitrogen reduction reaction (NRR).


1. Introduction

The increasing concerns of climate pollution and energy crisis make it imperative to accelerate the development of sustainable energy storage and clean conversion, such as fuel cells, electrocatalysis, supercapacitors and various batteries.1–3 Generally, electrochemical reactions are at the core of these energy conversion and storage systems, involving the hydrogen evolution reaction (HER), oxygen reduction reaction (ORR), oxygen evolution reaction (OER), carbon dioxide reduction reaction (CO2RR), nitrogen reduction reaction (N2RR), and so on.4–6 However, most of these chemical transformation processes demand highly efficient catalysts to lower the energy barrier and facilitate the kinetics of the reactions. Single-atomic site catalysts (SACs) have been attracting wide attention due to their maximal atom utilization, well-defined active centers, uniform activity for each active site, conformational flexibility, unique electronic structure and tunable intrinsic selectivity toward various reactions compared with their counterpart clusters and nanoparticles.7,8 In addition, SACs can be used to establish the relationship between catalytic activity with atomic coordination environment, and their quantum size effects create discrete energy-level distribution and distinctive HOMO–LUMO gaps, and bring new opportunities to the study of molecular and atomic catalytic mechanisms by tailoring the coordination state.9,10

Despite the broad application prospect of single-atomic catalysis, SACs suffer from structural simplicity and lack of synergistic active sites for surpassing the intrinsic performance limit of more complicated electrocatalytic reactions. On one hand, owing to the presence of only one kind of specific active site in most of the SACs, it is difficult to break the linear scaling relationships between the adsorption energies of overall complicated reactions involving multiple intermediates, and not effective towards some reactions.11 This is mainly because SACs could only activate one of the elementary reaction steps. For instance, the structural simplicity of single atomic centers limits the reactivity of the multistep coupled proton–electron transfer CO2RR process.12–14 Iron (Fe) and cobalt (Co) based SACs generally show a lower CO2RR onset potential, but *CO is difficult to desorb owing to the strong binding of the Fe or Co site with reaction intermediates.15 Nickel (Ni) and copper (Cu) based SACs facilitate CO desorption, but they are often limited by a larger initial potential due to the high energy barrier required to form the *COOH intermediate.16,17 In addition, the too strong binding strength of transition metal (TM) sites with electron-donating intermediates also lowers the catalytic activity of OER and HER processes.18 On the other hand, to maintain the single-atom configuration, the loading amount of metals is often limited to avoid aggregation (usually ∼1 wt%). Hence, the overall activity of SACs is not very remarkable in spite of high activity per atom. Moreover, increasing the surface free energy of only one kind of single metal site tends to cause agglomeration of SACs, resulting in a significant decline in performance.19,20

Coupling multi-active sites into one catalyst for multi-step reactions is a direct strategy to compensate these drawbacks of SACs by synergic catalysis. However, it is still rather tough to design multi-active site catalysts. Generally, the activity of SACs can be effectively tuned by the rational design of coordination configurations, including the type/state of metal-atomic centers and surrounding coordination environment.21,22 It is worth noting that the strong metal–support interaction (SMSI) is relatively common in SAC catalysis, and the modulation of SMSI will affect their geometric and electronic properties to improve reaction path appropriately. Inspired by this, some synergistic components, such as local coordination atoms, heteroatoms and other metal atoms, have been developed to modulate the local environment of SACs.23–25 What's more noteworthy is that the introduction of some metal-based nanoparticles, nanoclusters, and/or diatomic sites makes it effective to improve the reactivity of SACs. Besides, the strong interactions between active metal centers and adjacent atoms could enhance the catalytic activity, selectivity and durability of metal centers while still maintaining the high atomic dispersion property and stability.26–28 Therefore, it is urgent and promising to establish and explore the synergistic effect of SAC-nanoparticles (SAC-NPs), SAC-clusters (SACCs), dual-atomic site catalysts (DACs), and single-atomic alloys (SAAs). However, there's still a lot of controversy about the synergistic mechanism and the nature of catalytic processes (Fig. 1).


image file: d1ta08561a-f1.tif
Fig. 1 Schematic illustration of synergistically enhanced single-atomic sites for electrocatalysis.

Since the concept of SACs was put forth in 2011, this field has progressed rapidly in the construction of SACs and energy-related applications.29 To date, most review articles focus on the design strategies of SACs and the impact of atomic engineering methods on their intrinsic activities and stabilities. In fact, the introduction and coupling of some synergistic components, including SAC-NPs, SACCs, DACs and SAAs, are more desirable to accurately tune the relationships of the atomic structure and coordination environment with reactivity, but a comprehensive and timely review of synergistically enhanced single-atomic catalysis for clean energy conversion is still lacking.30,31 In this review, we will thus first describe the classifications and synthesis methods of SAC-NPs, SACCs, DACs and SAAs, discussing the key factors controlling their synergistic structure, and identifying the main challenges for catalyst design. Then, we briefly summarize and comment on the advantages and limitations of some important and recently developed characterization techniques in determining the unique coordination structure, including the high-angle annular dark-field scanning transmission electron microscopy (HAADF-STEM) equipped with energy dispersive X-ray spectroscopy (EDS) and electron energy loss spectroscopy (EELS), X-ray absorption near edge spectroscopy (XANES), extended X-ray absorption fine structure (EXAFS) analysis, in situ ambient-pressure XPS (AP-XPS), IR and Raman spectroscopies, and Mössbauer spectroscopy. It is thus vital to apply more than one technique to fully characterize their coordination structures before establishing conclusive mechanisms. After that, a detailed comparison, analysis and evaluation of these atomic-coupling structures (SAC-NPs, SACCs, DACs and SAAs) in energy storage and conversion applications will be made, including the ORR, HER, OER, CO2RR, and N2RR. Finally, the promising prospects and tough challenges of this unique single-atomic site synergistic effect will be proposed. We believe that this review could provide new insights for readers and inspire more efforts on the rational design and comprehension of the newly developed single-atomic site catalysts, facilitating the rapid development in this synergistic catalysis frontier.

2. Categories and synthesis of atomic-coupling structures

Based on the difference in the synergistic effect, adjacent metal species, coordination environments, and electronic structures, single atomic-coupling structures are generally categorized into four types: SAC-NPs, SACCs, DACs and SAAs. Notably, the distance range between different adjacent objects also plays an important role in defining these atomic-coupling structures. For example, Lu et al. showed that a Pt2 DAC could be fabricated based on Pt1 single-atom deposition. According to their observation, Pt1 single atoms were isolated from each other by a distance >2 nm in average, which is significantly larger than the diameter of the precursor molecule (MeCpPtMe3), ∼0.96 nm, confirming the steric effect during the synthesis.32 Li et al. synthesized highly dispersed Fe2 clusters supported on mesoporous carbon nitride (Fe2/mpg-C3N4). The statistical analysis of 100 pairs of Fe2 dimers shows that the projected Fe–Fe distance between adjacent atoms varies from 0.12 to 0.25 nm, while the largest distance is consistent with the bond length of an Fe2 DAC.33 Besides, Cheng et al. constructed a Ru atomically dispersed catalyst with Ru–C5 single atoms and Ru oxide nanoclusters (∼1.5 nm), the distance between Ru nanoclusters and Ru single atoms being ∼0.3 nm. Such a short distance may lead to the nanocluster being in close cooperation with the single atoms, further enhancing the catalytic performance.34 In addition, diverse coupling/coordination structures and bonding nature of single-atomic sites may bring new opportunities to establish atomic multisite catalysts, lead to highly efficient charge and mass transfers for multistep electrocatalytic reactions. This is a truly distinctive feature of SACs that distinguishes it from other conventional electrocatalysts. However, these multisite catalysts involving atomically dispersed active sites are hard to construct due to the close-packed structure of metals and strong interaction between different atoms. In this section, various types of SACs and their synthesis methods, including multi-step pyrolysis, wet-chemical, impregnation/immersion method, chemical vapor deposition (CVD), atomic layer deposition (ALD), electrodeposition, sequential reduction, dealloying, galvanic replacement, and proton-capture strategy, are summarized in detail.

2.1 Single atomic site-nanoparticles (SAC-NPs)

It is well known that the size effect of metals remains complicated, and smaller metal species (atomically dispersed sites) do not necessarily improve the reactivity significantly.35 In this context, metallic nanoparticles could act as synergistic active sites in conjunction with SAC configurations to accelerate the reaction process. However, it is a great challenge to simultaneously acquire high-concentration single-atomic and metal nanosized species in the same catalyst due to the high competition that exists during preparation. To the best of our knowledge, currently, most of the reported SAC-NPs could be roughly divided into two categories: MNPs/MSAC–N–C and M@C–MSAC.36 For example, Wu et al. reported an effective approach to design a kind of uniform and fine Pt nanoparticle (∼2 nm) dispersion on FeN4 site-rich carbon (Pt/FeN4–C),37 the specific synthesis process is shown in Fig. 2a. In short, they firstly attempted chemical doping of Fe3+ ions into ZIF-8 nanocrystal precursors to form FeN4–C, and to load Pt or PtCo nanoparticles by high temperature graphitization. Ye et al. developed a low-temperature chemical vapor deposition strategy to prepare a sheet-like open nanostructure with Ni nanoparticles wrapped by Ni-NC species (Ni-NC/Ni).38 In addition, Hou et al. proposed a proton capture strategy to prepare a hybrid catalyst containing Ni NPs supported by a carbon matrix with atomically dispersed Ni–Nx sites (denoted as Ni-NiNCM).39 As for the type of M@CNPs–MSAC, for instance, Mai et al. reported bimetallic zeolitic imidazole framework (BMZIF)-derived carbon spheres with graphene-encapsulated Co nanoparticles (Co@C) and isolated single Co atoms (CoSAs), denoted as Co-NCS.40 As shown in Fig. 2b, the resin microspheres with abundant functional groups could absorb Zn/Co ions and provide adequate structural support after carbonization, which prevents the aggregation of nanocrystal precursors. Moreover, the introduction of Zn2+ could disperse Co species due to the evaporation of Zn at high temperatures. John et al. also combined isolated Mo single atoms with Mo carbide particles (Mo2C–MoSAs) by two-stage heat treatment.41 Recently, Christopher and Yang et al. adopted a new strategy to simultaneously craft single-atomic Fe sites and graphitic layer-wrapped Fe3C nanoparticles (Fe3C@GLNPs) encapsulated within hollow mesoporous carbon tubes through hydrothermally self-templated polyimide tubes (PITs),42 as illustrated in Fig. 2c. Therefore, the integration of independent single-atom and nanosized metal species in the same material represents a promising route to improve the reactivity.
image file: d1ta08561a-f2.tif
Fig. 2 (a) Synthesis scheme of the FeN4–C derived carbon-supported Pt or PtCo catalysts. Reproduced from ref. 37 with permission from the Royal Society of Chemistry, copyright 2021. (b) Schematic illustration of the synthesis process of Co-NCS-x. Reproduced from ref. 40 with permission from Elsevier Ltd, Copyright 2021. (c) Schematic illustration for the synthesis of Fe–N-HMCT catalysts. Reproduced from ref. 42 with permission from Wiley-VCH GmbH, copyright 2020.

2.2 Single atomic site-clusters (SACCs)

Atomically dispersed catalysts (ADCs), such as clusters and single atomic sites, received great attention due to their individual coordination environments and ultra-high atomic utilization. Notably, diverse coordination structures of ADCs may provide opportunity for the construction of atomic multisite catalysts. Moreover, the catalytic pathway and reactivity may differ considerably depending on the form of active site. Coupling multi-active sites into one material for a multi-step reaction process is a direct way to compensate the drawback of single-site catalysts. However, it is rather difficult to assemble multiple active sites into one catalyst. Although various synthetic strategies have been applied to fabricate highly active ADCs, controlled and large-scale synthesis of stable single atoms and clusters remains a considerable challenge due to the natural tendency of metal atoms to diffuse and agglomerate, resulting in the formation of larger particles. For example, high temperature calcination will inevitably cause particle agglomeration in the traditional impregnation–pyrolysis process. Thus, it is urgent to develop a milder and more effective method to synthesize multi-site atomically dispersed catalysts and further understand their corresponding intrinsic synergistic effect. For example, Jiang et al. reported a new strategy by integrating vacuum-freeze-drying and high-temperature pyrolysis technologies to design atomically dispersed Co deposits onto the surface of Ru clusters.43 Cheng et al. developed a universal and facile room temperature impregnation strategy to construct a Ru atomically dispersed catalyst with Ru–C5 single atoms and Ru oxide nanoclusters (∼1.5 nm), which could also be extended to prepare Ir, Rh, Pt, Au, and Mo atomically dispersed catalysts.34

In addition, atomically dispersed metal sites on carbon, especially those with M–N–C coordination, have demonstrated excellent catalytic activities both experimentally and theoretically.44,45 Catalysts with combined atomic sites, nanoclusters or even metallic particles have also been regarded as M–N–C catalysts, indicating the feasibility of multiple sites or clusters acting as a secondary active center. However, these synergistic or cooperative active sites consisting of multiple metal sites are not fully understood. Based on this, Nayantara et al. fabricated a heterostructured catalyst with the integration of Fe single atom and Co cluster sites in N-doped graphitic carbon (Fe SAs@Co/N-GC) by using a three-step wet-chemical and thermostatic carbonization process,46 as shown in Fig. 3a. At present, covalent–organic frameworks (COFs) can also be used as an ideal porous carbon precursor to produce Fe–N–C catalysts. Fe ions can easily diffuse into the cavities of COFs, while the N sites on COFs may act as a ligand to anchor Fe cations. Ao et al. employed a size controlled strategy to synthesize an FeAC@FeSA–N–C catalyst, in which Fe atomic clusters are embedded in an atomically dispersed Fe–N–C matrix, based on periodic skeletons and separated building blocks of COFs,47 as illustrated in Fig. 3b. Furthermore, Lawrence et al. prepared an Fe single atom/cluster embedded on N-doped carbon (Fe/NC) by the pyrolytic treatment of Fe salts and glucosamine in the presence of porosity-inducing templates (Fig. 3c).48 Sun et al. developed a practical synthesis method to produce isolated single platinum atoms and clusters (ALDPt/NGNs) using the atomic layer deposition technique.49 We believe that more and more effective SACCs will be designed with the continuous development and improvement of various synthetic strategies.


image file: d1ta08561a-f3.tif
Fig. 3 (a) Fabrication scheme of Fe SAs@Co/N-GC catalysts. Reproduced from ref. 46 with permission from the American Chemical Society, copyright 2021. (b) Illustration of the synthesis process of FeAC@FeSA–N–C. Reproduced from ref. 47 with permission from the American Chemical Society, copyright 2019. (c) Schematic illustration of the synthetic procedures for Fe single atom/nanocluster embedded in N-doped carbon (Fe/NC). The model structure of Fe/NC is shown in the dotted circle. Reproduced from ref. 48 with permission from Wiley-VCH GmbH, copyright 2021.

2.3 Dual-atom site catalysts (DACs)

In contrast to SACs, dual-atomic catalysts (DACs) utilize two adjacent metal atomic species to achieve complementary functionalities and synergy, and the strong chemical interactions between neighboring metal atoms could create highly stable active centers by efficiently stabilizing the individual species. Generally, DACs could be divided into three categories according to the configuration of active sites: combination of two single-atomic active sites, homonuclear DACs, and heteronuclear DACs.30,31,50 The first type is composed of two kinds of single-atomic sites randomly dispersed, and few of the two metal atoms (M and M′) are adjacent to each other. In the other two kinds of DACs, most of the two metal atoms are adjacent, even bonded to each other, and the difference is whether the two adjacent metal atoms are the same. Hence, it is more difficult to synthesize homonuclear or heteronuclear DACs due to the difficulty in controlling exact coordination configurations and preventing the aggregation of isolated metal atoms during the synthesis. To achieve this, strong covalent bonds between coordinated atoms are need to lower the free energy of metal dimers. Just like the approaches for the preparation of single-atomic catalysts, bottom-up and top-down strategies are desirable for the synthesis of DACs.

In bottom-up strategies, mono- or multinucleus metal complex precursors are first physically adsorbed and finally chemically reduced and confined in vacancies to form DACs. To date, various bottom-up approaches for DAC preparation have been successfully established, such as atomic layer deposition (ALD), chemical vapor deposition (CVD), impregnation, and electrochemical methods. The ALD and CVD methods are widely used techniques, which deposit metal atoms uniformly on the surface of the support with good repeatability, resulting in precise control of the structure, particle size, and composition. The uniform deposition character of ALD makes it a powerful approach to construct exact bimetallic sites and explore the structure–performance relationship. For example, Yang et al. developed a DAC consisting of an O-coordinated W–Mo heterodimer embedded in N-doped graphene (W1Mo1–NG),51 which is synthesized by a controllable three-step CVD procedure, as schematically illustrated in Fig. 4a. In addition, achieving high reactivity while preserving high stability at high loadings is a huge challenge for DACs. Based on the ALD technique (Fig. 4b), Lu et al. solved the problem by synergizing metal–support interactions and spatial confinement, which enables the fabrication of highly loaded atomic nickel (3.1 wt%) along with dense atomic copper grippers (8.1 wt%) on a graphitic carbon nitride support (Ni1Cu2/g-C3N4).52 Apart from heteronuclear DACs, Yan et al. successfully prepared a homonuclear Pt2 diatomic catalyst (Pt2/graphene) through a two-step ALD process.32 Another widely used bottom-up strategy for the preparation of DACs is the wet-chemistry method. Tian et al. synthesized a highly dispersed Fe2 diatomic catalyst loaded on mesoporous carbon nitride (mp g-C3N4) by an impregnation method via “preselection of precursors”.33


image file: d1ta08561a-f4.tif
Fig. 4 (a) Schematic illustration of the synthetic procedure of W1Mo1–NG DAC. Reproduced from ref. 51 with permission from the authors and exclusive licensee American Association for the Advancement of Science, copyright 2020. (b) Schematic illustration of the formation of Ni1Cu2/g-C3N4 catalyst. Reproduced from ref. 52 with permission from the authors, under exclusive license to Springer Nature Limited, copyright 2021. (c) Illustration of the formation of Zn/CoN–C. Reproduced from ref. 55 with permission from Wiley-VCH GmbH, copyright 2019. (d) Synthesis process of Fe–N4/Pt–N4@NC. Reproduced from ref. 57 with permission from Wiley-VCH GmbH, copyright 2021.

As for top-down strategies, bulk metal or metal nanoparticles are often employed as precursors, while the metal–metal bonds are broken to generate atomically dispersed metal dimers on the substrates. Compared with bottom-up strategies, the top-down strategies could more efficiently fabricate well-defined DACs with precise structures.53,54 Generally, high temperatures are utilized to initiate this procedure. For example, Sun et al. reported a new design of discrete Zn/Co bimetallic sites supported on N doped carbon (Zn/CoN–C) by a competitive complexation strategy at high-temperatures,55 whereby chitosan was used as C and N sources and zinc chloride and cobalt acetate are selected as metal precursors (Fig. 4c). Chen et al. developed a bifunctional DAC consisting of high-density Ni and Fe atoms anchored on N-doped graphene (NiFe-DACs) by pyrolyzing L-alanine (amino acid), ferric(II) acetate, nickel(II) acetate tetrahydrate, and melamine together in an argon atmosphere.56 In addition, the pyrolysis of MOFs and ZIFs containing specific metal atoms is a widely used method for the synthesis of DACs anchored on carbon-based materials. For instance, Li et al. designed and synthesized an Fe–N4/Pt–N4@NC DAC through a spatial confinement strategy, as shown in Fig. 4d.57 They employed zeolite imidazole frameworks (ZIF8s) as N-rich carbon precursors to generate exclusive M–N4 active sites. Fu et al. constructed atomically dispersed Cu@N4 and Zn@N4 on a N-doped carbon support (Cu/Zn@NC) by directly pyrolyzing a CuZn-ZIF precursor.58 Additionally, Xu et al. used a unique MOF with abundant ordered aromatic ring arrays; based on this MOF, separately loading a series of trinuclear complexes, they realized an effective modulation for the aggregation states of iron atoms from nanoclusters to dimers by carefully introducing a second metal ion (Zn/Co) into the Fe-complexes (Fe2/Co1-GNCL).59 In all, the structure of the ordered mesoporous framework ensured the full accessibility of two kinds of homogeneously distributed single-atom sites, providing great opportunities to facilitate the reactivity with synergetic effects.

2.4 Single-atomic alloys (SAAs)

Single-atomic alloys (SAAs) are another type of atomic site catalysts, which are obtained by initiating single atoms on the surface of traditional metals.60–62 Generally, the design of SAAs includes low amounts of components, present in the form of individual atoms, which are isolated from each other. In other words, SAAs could be described as materials formed from bi- and multi-metallic complexes, where one of these metals is atomically dispersed in another material. In contrast to the development of traditional catalysts, SAAs were first developed using single-crystal surface science and scanning probe microscopy of model samples, and this information was used in the synthesis, characterization and reactivity testing of traditional catalysts. Therefore, the development of a simple and effective method to prepare SAAs is a prerequisite for acquiring highly active catalysts. So far, some synthetic methods have been developed for the synthesis of SAAs, including sequential reduction, dealloying, galvanic replacement, wetness impregnation, and other synthetic strategies. In this section, we will not summarize all reported synthetic methods in detail, but only highlight some regularly used and newly developed methods.

Sequential reduction is a widely used technique to prepare SAAs, involving the reduction of one metal pre-cursor first, which is then used as a seed, while another metal precursor is added to the seed metal to form specific SAAs. This method can overcome the difficulty of controlling the composition and structure of catalysts in the one-pot method. For example, when the substrate is a noble metal such as Au, as shown in Fig. 5a, sequential reduction has been used effectively to deposit small amounts of dopant metals, such as Ni and Pd onto the already synthesized Au nanoparticles.26 It was briefly described that the Au nanoparticles are firstly prepared by reducing the gold precursor, and then appropriate amounts of another metal precursor and reducing agents are added through sequential reduction, resulting in the formation of an unsupported sample which could be supported on a substrate. The superiority of this synthetic method ensures the formation of alloys as it occurs prior to the deposition of metal particles on the support. In addition, Sykes et al. synthesized and tested a kind of PdAu/SiO2 bimetallic catalyst.63 Pd0.02Au0.98 SAAs with a Pd/Au atomic ratio of 1/49 were prepared by a sequential reduction method and then supported on SiO2 (Fig. 5b). After the calcination and reduction process removing all surface-bound species, the most thermodynamically stable state of Pd is in the bulk of the Au NPs. Recently, Mueller et al. synthesized a series of Pd@Au SAAs by decorating Au nanoparticles with controlled doses of Pd,64 resulting in the formation of bimetallic surfaces containing Pd ensembles of various sizes (Fig. 5c). In summary, when the sequential reduction method is used to fabricate SAAs, a small amount of guest metal atoms is usually introduced in the host metal to obtain various types of SAAs. Moreover, the selection and introduction of the support is also particularly important for the preparation of SAAs.


image file: d1ta08561a-f5.tif
Fig. 5 Sequential reduction method: (a) schematic representation of the sequential reduction method for the synthesis of SiO2-supported NiAu SAAs. Reproduced from ref. 26 with permission from the American Chemical Society, copyright 2020. (b) Schematic illustration of PdAu SAAs synthesis in which the final reduction step leads to migration of Pd to the interior of the NPs. Reproduced from ref. 63 with permission from the author(s), copyright 2021. (c) Illustration of the synthetic scheme for the Pd@Au SAAs with control over the dose of Pd. Reproduced from ref. 64 with permission from the American Chemical Society, copyright 2019.

Another commonly used method for the synthesis of SAAs is selective dealloying, which can stabilize isolated metal atoms on the surface of another host metal. For instance, Tan et al. proposed a facile route to prepare atomic Cu dispersed on hierarchically nanoporous gold architectures (denoted as np-Cu1Au SAAs) through a dealloying method,65 and the fabrication process is illustrated in Fig. 6a. Firstly, the Al80Cu15Au5 precursor alloy was designed. After the first dealloying step in NaOH solution, the α-Al phase was selectively etched and a small percentage of Al existed in the intermetallic phase, resulting in np-Al13Cu64Au23. Then, nanoporous Au65Cu35 alloy was prepared by dealloying the as-prepared Al13Cu64Au23 alloy. Recently, they also prepared a nanoporous binary Cu–Ru alloy through dealloying a single-phase ternary Ru3Cu22Mn75 precursor in (NH4)2SO4 solution to remove Mn, as shown in Fig. 6b.66 In addition, Hensen and Quan et al. presented a tensile-strained Pt–Rh single-atom alloy (PtBi@PtRh1 SAAs) by an electrochemical dealloying strategy.67Fig. 6c illustrates the design and synthesis of PtBi–Rh1 and PtBi@PtRh1 based on PtBi nanoplates. At a relatively high potential, electrochemical dealloying of Bi atoms was performed in acidic electrolytes. Then, Pt layers are formed due to the removal of Bi atoms from the PtBi lattices, which prevents the continuous etching of inner Bi atoms and leads to the emergence of the PtBi core–Pt shell structure. Therefore, the planting of isolated-Rh-atoms on tensile-strained Pt shells could be achieved by electrochemical dealloying.


image file: d1ta08561a-f6.tif
Fig. 6 Dealloying method: (a) schematic illustration for the preparation of np-Cu1Au SAA with surface defects. Reproduced from ref. 65 with permission from Science China Press and Springer-Verlag GmbH Germany, copyright 2021. (b) Schematic illustration of the preparation procedure of np-Cu100−xRux. Reproduced from ref. 66 with permission from the American Chemical Society, copyright 2020. (c) Schematic illustration of the preparation procedure of PtBi-3.6% Rh1 and PtBi@PtRh1 nanoplates. Reproduced from ref. 67 with permission from Wiley-VCH GmbH, copyright 2021.

In addition to the above major synthetic methods, other innovative strategies for the preparation of SAAs have also been proposed. For instance, Bok et al. utilized the interaction between metals and MOFs to synthesize atomically dispersed Au on tensile-strained Pd nanoparticles (M–AuPd).68 As shown in Fig. 7a, Pd and Au ions were firstly impregnated inside the pore structure of MOF-808, where confined growth was initiated under reducing conditions, then M–AuPd was obtained after etching Zr-MOF-808. In addition, galvanic replacement has been exploited to fabricate SAAs and it gained importance due to the fact that no external electricity is need for the displacement. Instead, it uses the half-reduction potential of the metal precursor. As illustrated in Fig. 7b, the reduced surface of the host metal (Cu) acts as a template to deposit the minority metal (Pd) precursor by metal exchange. As dopant metal ions are reduced, the oxidized atoms of the host metal surface start to dissolve.26 In all, the sequential reduction contains a two-step metal precursor reduction, in which one metal atom is used as the seed. An advantage of the technique is ensuring the formation of the alloy, because it occurs prior to deposition of metal particles on the support. Dealloying can disperse isolated metal atoms on the surface of another host metal without destroying the original metal structure. Impregnation is another simple and one-pot technique used to make bimetallic alloys. During reduction, metal precursors are mixed in solution and an appropriate amount is optimized to fill the pores of the support. Galvanic replacement is suitable to synthesize surface alloys by utilizing the semi-reduction potential of metal precursors, and it is of great interest due to its simplicity and the fact that no external electricity is required for the displacement. The successful construction of dual-site SAAs not only expands the class of SACs, but also provides new inspiration to design and prepare high-performance catalysts at the atomic scale.


image file: d1ta08561a-f7.tif
Fig. 7 Other synthetic methods: (a) synthetic scheme of the impregnation and reduction method for the synthesis of M–AuPd(x) catalysts. Reproduced from ref. 68 with permission from the American Chemical Society, copyright 2021. (b) Schematic representation of the galvanic replacement method for the synthesis of nanoparticle and nanoporous SAA catalysts. Reproduced from ref. 26 with permission from the American Chemical Society, copyright 2020.

3. Characterization techniques

The identification and confirmation of the electronic, geometric configuration, and coordination environment of atomic-coupling sites at the atomic level is the prerequisite to explore the composition–structure–activity relationship of SAC-NPs, SACCs, DACs and SAAs. This is beneficial for precisely designing and tuning atomic sites towards specific catalytic reactions. However, due to the non-crystallographic ordering of single metal atoms and complex coordination structures, it is extremely challenging to fully characterize these synergistically enhanced structures. To date, various advanced and effective characterization techniques, mainly microscopic and spectroscopic methods, such as HAADF-STEM, XAS, XPS, XRD, IR and Raman spectroscopy, Mössbauer spectroscopy, nuclear magnetic resonance (NMR), and density functional theory (DFT) calculation, have already been adopted (Fig. 8).69,70 However, each characterization technique has its own advantages and limitations. Definitive structural characterization of atomic sites requires combinations of techniques. Moreover, the structural information obtained from any characterization tool should be better verified by other techniques. Generally, HAADF-STEM is used for imaging individual metal atoms and defining the degree of uniformity of the surface species,71,72 and electron energy loss spectroscopy (EELS) coupled with AC HAADF-STEM was even utilized to reveal the composition of single active sites. Nevertheless, their atomic resolutions are limited by magnetic lens aberration, and it's difficult to distinguish DACs containing two different metal elements with similar molecular weights due to their close brightness levels in AC HAADF-STEM images.73 XAS is adopted to confirm metal coordination environments and provide information about oxidation valence, which is generally accepted as a key technique to gain average structural and electronic information at the atomic scale, including bond distance and coordination number.74 It is worth mentioning that ex situ XAS cannot be used to monitor the dynamic evolution and modification of the oxidation state and coordination environment of active centers during the reaction, while in situ/operando XAS can facilitate an in-depth understanding of the catalytic mechanisms under the operating conditions.75 XPS is another common technique to probe sample averaged information about the oxidation state of metal species at the ensemble scale, but it cannot directly detect the specific binding site of metal atoms and obtain details about the different configurations.76 IR and Raman spectroscopies are utilized to characterize metal ligand bonds, and detect the binding of reactants and intermediates under operando conditions.77 Moreover, the lack of H2O signal makes Raman spectroscopy an ideal tool to probe the electrocatalytic mechanism of SACs in aqueous solutions. NMR and EPR spectroscopies are exploited to characterize the organic ligands of metal complexes, and determine the chemical coordination and oxidation state of various elements.78 However, their use is restricted. NMR is applied to characterize SACs with high loadings, and EPR is only applicable to paramagnetic materials. DFT calculation always works in close collaboration with experiments, and can be used to explore the electronic structures and reaction mechanisms.79 In this section, we will briefly highlight important features of different characterization techniques to acquire the coordination environment information of SAC-NPs, SACCs, DACs and SAAs.
image file: d1ta08561a-f8.tif
Fig. 8 Schematic illustration of characterization techniques for SACs, SAC-NPs, SACCs, DACs and SAAs.

3.1 AC HAADF-STEM

Aberration-corrected high-angle annular dark-field scanning transmission electron microscopy (AC HAADF-STEM) is a powerful tool to characterize the morphology and structure of atomically dispersed catalysts. STEM instruments can achieve an electron probe with a sub-Ångstrom size, and these electrons are scattered and collected using a high angle HAADF detector, which is capable of obtaining atomic resolution images due to the introduction of aberration correctors.80–82 Generally, when the atomic numbers of metal atoms are much higher than those of support atoms, AC HAADF-STEM can provide a visual observation of the position and distribution of single-atomic structures on substrates. In addition to spatial distribution, this technique is also used to analyze crystallization information related to the surface structure of substrates.83 More importantly, the local coordination environment of single atoms can also be directly distinguished by AC HAADF-STEM, which provides adequate information to build a theoretical model. For example, Spendelow and Wu et al. observed that Pt NPs with a uniform particle size of about 2.4 nm co-exist with FeN4 sites embedded in carbon (Fig. 9a and b), this is a typical feature of SAC-NP catalysts.37 In addition to nanoparticles, clusters can also be clearly observed by STEM. Cheng et al. constructed a Ru atomically dispersed catalyst (Ru ADC) with Ru–C5 single atoms and Ru oxide nanoclusters (∼1.5 nm).34 AC HAADF-STEM was used to obtain atomic resolution information of Ru ADC. As shown in Fig. 9c and d, atomically dispersed nanoclusters and abundant single atoms can be obviously observed on the support at the same time. Compared with coexisting nanoparticles and clusters, it is much more difficult to characterize diatoms. For example, Lu et al. noticed that Pt2 dimers frequently rotated about specified angles of 30, 60, and 90° under an electron beam during STEM measurements and then split into two isolated Pt1 atoms (Fig. 9e).32 Lei et al. fabricated a dimetallic single-atom catalyst where monoatomic Ru and Ni co-modify MoS2 (Ru/Ni–MoS2).84 From the HAADF-STEM image (Fig. 9f), we can see clearly that the single Ni atoms occupy the positions of the Mo atoms in the MoS2 plane. On the other hand, when the atomic numbers of metal atoms are close to those of support atoms, it is more difficult to distinguish these atomically dispersed metal sites. Gong et al. synthesized an alumina-supported Pt/Cu SAA catalyst, and the structure of Pt/Cu SAAs was characterized by AC HAADF-STEM images.85 From Fig. 9g and h, single Pt atoms could be distinguished from Cu atoms due to differences in the Z-contrast, indicating the presence of individual brighter Pt atoms amidst Cu nanoparticles. Additionally, active sites with atomic numbers less than those of support elements can also be identified by STEM images, providing a technical base for further analysis of SAC-NPs, SACCs, DACs and SAAs.
image file: d1ta08561a-f9.tif
Fig. 9 AC HAADF-STEM: (a) STEM images of the Pt/FeN4–C catalyst showing a uniform distribution of Pt nanoparticles and the coexistence with FeN4 sites. (b) Schematics of Pt/FeN4–C (Pt–Co/FeN4–C) catalysts. Reproduced from ref. 37 with permission from the Royal Society of Chemistry, copyright 2021. (c and d) AC-STEM image and the corresponding extracted line profiles of Ru ADC. Reproduced from ref. 34 with permission from Wiley-VCH GmbH, copyright 2021. (e) Aberration-corrected HAADF-STEM images of dimeric Pt2/graphene, dimers are highlighted with yellow circles. Reproduced from ref. 32 with permission from the author(s), copyright 2017. (f) The HAADF-STEM image of Ru/Ni–MoS2. Reproduced from ref. 84 with permission from Elsevier B.V., copyright 2021. (g) HAADF-STEM images with the typical region of the reduced 0.1Pt10Cu/Al2O3 catalyst, showing Pt atoms individually dispersed on Cu(111). Pt atoms are highlighted with red arrows. (h) The colored intensity map from the selected region in (i). The lattice spacing of Pt/Cu SAA is 0.21 nm, which is consistent with that of Cu(111). Reproduced from ref. 85 with permission from the author(s), copyright 2018.

3.2 X-ray absorption spectroscopy (XAS)

X-ray absorption spectroscopy (XAS) based on synchrotron radiation is another powerful technology to characterize atomically dispersed catalysts and determine the geometric and electronic structure state of SAC-NPs, SACCs, DACs and SAAs, which could be divided into X-ray absorption near edge structure (XANES) and extended X-ray absorption fine structure (EXAFS) according to the relative energy to the absorption edge of the specific element (Fig. 10a).53 Generally, XANES rises sharply and oscillates strongly near the absorption edge, while EXAFS is the weak oscillatory wiggles above the absorption edge about 50 eV. Compared with EXAFS, XANES is more complicated due to the multiple scattering characteristic and polarization effect. Moreover, the coordination environment of target atoms, such as bond distance, electronic orbits, valence states and coordination number, could be qualitatively evaluated by the Fourier transform (FT) and wavelet transform (WT) of EXAFS. In addition, XANES generally focuses on the characteristic peak, oxidation state and theoretical analysis. Therefore, XANES contributes to the clarification of the interaction between atomic sites and supports, and provides reliable theoretical structure models.86,87
image file: d1ta08561a-f10.tif
Fig. 10 XAS: (a) schematic illustration of the basic principle and typical spectrum of XAS. Reproduced from ref. 53 with permission from the American Chemical Society, copyright 2020. (b) Co K-edge XANES spectrum of CNT@SAC-Co/NCP, CoPc, Co foil, and CoO. (c) Fourier-transform EXAFS spectrum of CNT@SAC-Co/NCP, CoPc and Co foil. Reproduced from ref. 88 with permission from Wiley-VCH GmbH, copyright 2021. (d) XANES spectra (inset: model of FeAC@FeSA–N–C. Fe red, N blue, C gray spheres) and (e) FT-EXAFS curves of FeAC@FeSA–N–C, FeSA–N–C, and reference materials at the Fe K-edge. Reproduced from ref. 47 with permission from the American Chemical Society, copyright 2019. (f) EXAFS fitting curves of Ni K-edge in Ru/Ni–MoS2 (inset: atomic structure model of Ru/Ni–MoS2). Reproduced from ref. 84 with permission from Elsevier B.V., copyright 2021. (g) Left: the K2-weighted Fourier transform spectra of MeCpPtMe/graphene, Pt1/graphene, and Pt2/graphene at the Pt L3-edge. The reference samples of Pt foil, PtO2, and MeCpPtMe3 are also shown for comparison. Right: comparison of the EXAFS simulations based on the corresponding DFT calculated structural models (insets) with the experimental EXAFS spectra of Pt1/graphene and Pt2/graphene. The balls in gray, white, red, and dark blue represent carbon, hydrogen, oxygen, and platinum, respectively. Reproduced from ref. 32 with permission from the author(s), copyright 2019. (h) In situ Fourier transform EXAFS spectra of the xPd-Ni/SiO2 samples (x = 5, 10, and 20) and Pd foil reference in the real space at the Pd K-edge. Reproduced from ref. 89 with permission from the author(s), copyright 2019.

Of course, we should also be aware that the structural information obtained by XAS is an average result of the detected element if different coordination structures exist in SAC-NPs, SACCs, DACs and SAAs. For example, Shao et al. synthesized a dual-phasic carbon bifunctional electrocatalyst. Specifically, a cobalt single-atomic catalyst supported on carbon nanotubes (single-atom phase) and Co nanoparticles encapsulated in a ZIF-derived carbon polyhedron (nanosized phase) are integrated together through carbon nanotube bridges (CNT@SAC-Co/NCP).88 XAS was applied to understand the structure of the catalyst deeply, Fig. 10b shows the Co K-edge near-edge structure (XANES) spectrum. The absorption edge position is between those of standard Co foil and CoO/cobalt phthalocyanine (CoPc), implying the coexistence of 0 and +2 valence states of Co in the CNT@SAC-Co/NCP. The Fourier-transform extended X-ray absorption fine structure (FT-EXAFS) spectrum in Fig. 10c shows a Co–N scattering peak at 1.5 Å and Co–Co scattering peak at 2.2 Å, further revealing that CNT@SAC-Co/NCP is composed of Co single-atomic and nanosized Co phase. Similarly, Ao et al. fabricated an electrocatalyst in which atom clusters are embedded in an atomically dispersed Fe–N–C matrix (FeAC@FeSA–N–C).47 To understand and compare the electronic structure and local atomic coordination of FeAC@FeSA–N–C and FeSA–N–C, XANES and EXAFS were performed. As shown in Fig. 10d and e, the near-edge absorption threshold of the Fe K-edge of FeSA–N–C was similar to that of FePc, indicating that the single Fe atoms carried positive charges and are coordinated by N atoms. The FT-EXAFS spectra of both FeAC@FeSA–N–C and FeSA–N–C show a primary peak located at ∼1.5 Å, corresponding to the Fe–N(O) scattering path. Additionally, Lei et al. fabricated a dimetallic single-atom catalyst in which monoatomic Ru and Ni co-modify MoS2 (Ru/Ni–MoS2).84 The EXAFS fitting demonstrates that the coordination numbers and bond-lengths of Ni atoms in Ni–MoS2 are nearly identical to Mo in MoS2 (Fig. 10f), which proves that Ni atoms substituted Mo in the MoS2 lattice by isomorphous substitution. XAS also presents unique advantages for more complex diatomic systems. For instance, XAFS spectra and DFT calculations suggest that the Pt2 dimers are likely in the oxidized form in Pt2Ox. As shown in Fig. 10g, the dimeric Pt2/graphene sample showed a similar FT curve to Pt1/graphene, indicating a similar local C/O coordination.32 Moreover, in the Pt2/graphene spectrum, there was no visible peak for the Pt–Pt coordination, suggesting the Pt2 dimers are in the oxidized state. Lu et al. also adopted XAS to establish the structure–activity relationship of PdNi SAAs.89 EXAFS curve fittings revealed that Pd–Ni coordination is the dominant one with a coordination number of 5.5, while Pd–Pd coordination has a minor contribution with a CN of only 1.2 (Fig. 10h), suggesting that Pd atoms are atomically dispersed in majority. To summarize, the XAS technique consisting of both EXAFS and XANES provides convincing structural information on SAC-NPs, SACCs, DACs and SAAs, and is regarded as the most powerful tool to obtain the local electronic structure and environmental coordination information.

3.3 Other applicable characterization techniques

Besides AC-STEM and XAS techniques, other methods, such as Mössbauer spectroscopy, scanning tunneling microscopy (STM), electron paramagnetic resonance (EPR) spectroscopy, IR spectroscopy, and DFT calculation can be applied to characterize single-atomic synergistic sites. Specifically, Mössbauer spectroscopy is a powerful technique based on the Mössbauer effect to investigate the chemical environment, coordination structure, and spin state of Mössbauer active elements via measuring the hyperfine interactions caused by the electric and magnetic fields acting on an atomic nucleus, and is especially suitable for Fe SACs.90 For example, Li et al. constructed an electrocatalyst with Fe–Co dual sites embedded on N-doped porous carbon. In the Mössbauer spectrum of Fe–Co DACs, apart from the typical signal of three doublets, a minor amount of singlet component occurs.91 This extra peak could be attributed to the Fe–Co bond, which provides direct evidence for the formation of dual sites. In addition, the STM is an effective characterization technique to directly observe and pinpoint the atomic sites by the needle tip and atomic-resolution microscopic images. Moreover, it could be utilized to accurately detect the electronic structure information of metal sites.92,93 In a typical STM experiment designed to characterize atomic-coupling sites, firstly, adsorbed atoms are deposited on single-crystal substrates in UHV by evaporation, and then are imaged by quantifying the current passing through an atomically sharp probe tip. Additionally, IR spectroscopy is also a valuable technique to characterize supported metal pair-sites through supplying fingerprint information of their ligands on the metals or metal–support interactions and metal nuclearities.94,95 This method not only detects the binding of reactants and intermediates under in situ or operando conditions but also provides electronic and geometric information on the metal centers. Moreover, the dynamic variation of the coordination state in catalytic centers during reactions could also be distinguished by the vibrational frequency of probe molecules. Similarly, in terms of atomic-scale structural and electronic properties, electron paramagnetic resonance (EPR) spectroscopy is another promising technique to probe the unpaired electron spin effect, chemical coordination and oxidation state of single active sites in SACs, SAC-NPs, SACCs, DACs and SAAs.96 However, EPR is only applicable to paramagnetic species. For example, Jiang et al. designed an atomically dispersed Co deposit onto the surface of Ru tiny sub-nanoclusters (Co1Ru TCs).43 According to the EPR spectra, the g value (2.56) of Co1Ru TCs could be ascribed to the unpaired electron in the orbital of CoII and RuIII. To explore the effect of electronic interaction between the atomically dispersed Co and Ru clusters, dual atomically dispersed Co and Ru (denoted as Co1Ru DAs) were also prepared. In comparison with Co1Ru DAs (g = 2.19), the increase in the g value of Co1Ru TCs is due to the influence of spin–spin strain interaction between subnano Ru clusters and single Co atoms. This shows the practicality of EPR for single-atomic site resolution. The density functional theory method has been developed in parallel with experiments, and is currently indispensable for the studies of SACs, DACs and SAAs. On one hand, DFT calculations could explain and obtain charge distribution, adsorption energies and reaction mechanism. On the other hand, they could be exploited to predict and rationally design efficient synergistic catalysts. For example, based on DFT calculations, Lu et al. found that the unoccupied 5d state of Pt atoms in Pt2/graphene shows a noticeably higher energy position of 0.87 eV than that of the Pt atom in Pt1/graphene (0.40 eV), indicating that Pt1/graphene is more prone to accepting electrons than Pt2/graphene, which shows stronger CO adsorption on Pt1.32

4. Applications in electrocatalysis

With increasing attention to severe environmental problems and shortage of fossil fuels, the development of sustainable and clean electrochemical conversion to produce valuable fuels and chemicals has become particularly significant.97–99 Electrocatalysis reaction (CO2RR, ORR, HER, OER and N2RR etc.) lies at the center of clean energy conversion due to the mild reaction conditions and excellent compatibility. Furthermore, catalysts are an indispensable part of catalytic systems, and rational designs of highly efficient and durable electrocatalysts play a key role in improving the reactivity and selectivity, but face huge challenges at the same time.100 Over the past few years, SACs have achieved great success in the electrocatalytic field due to their unique structural and electronic properties. On one hand, the catalytic activity and rates could be greatly improved by engineering the structure and coordination environment of the SACs. On the other hand, SACs have a well-defined active site structure, which helps to clarify the relationship between material structure and activity at the atomic level.101,102

Recently, some researchers have paid attention to the dynamic evaluation of single-atomic sites in electrochemistry systems. The changes of coordination number (CN), atom type, valence state, and synergistic structure of SACs have a great effect on the reactivity and selectivity. For example, to elucidate the origin of the excellent CO2RR activity of atomically dispersed Fe–N–C catalysts, based on operando57Fe Mössbauer spectroscopy, Liu et al. found that the in situ-generated four pyrrolic nitrogen-coordinated low-spin Fe(I) (LS FeIN4) featuring monovalent iron is identified as the real active center for the conversion of CO2 to CO.103 Besides, Zeng et al. demonstrated that a single-atom iron catalyst with in situ generated Fe4+ centers is highly active toward the OER. Experimental and theoretical studies revealed that the valence state of the metal center changed from Fe3+ to the highly active Fe4+ prior to the OER process.104 Wei et al. directly observed that one oxygen atom is formed at the Ir active site with an O-hetero-Ir–N4 structure as a more electrophilic active centre for the OER in an acidic medium by using in situ X-ray absorption spectroscopy.105 Therefore, the dynamic evaluation of single atoms during the reaction process is crucial to elucidate the real synergistic effect and reaction mechanism.

Generally, different active sites could make these materials work as multi-functional catalysts. Unlike SACs, the biggest advantage of synergistically enhanced single-atom sites is the interaction between adjacent metal atoms. The interaction between two metal sites in SAC-NPs, SACCs, DACs and SAAs is helpful to precisely adjust the dual-atomic configuration and generate synergetic effects. For example, in DACs, two adjacent metal atoms are bonded to each other, which mainly promotes the activity by regulating the binding energy of reaction intermediates.106,107 DACs can be further classified into two categories: (i) homo-paired DACs with identical metal atoms, and (ii) hetero-paired DACs with different metal atoms, which could be applied to various electrocatalytic reactions. In addition, compared to monoatomic catalysts, the interaction of atoms will be more complicated in SAC-NPs, SACCs, DACs and SAAs, including the overlapping of orbitals and electronic structure change, which depends on the number of atoms, nuclear nature, and synergistic effect. According to the Sabatier principle, the binding strength of reactants, intermediates and products on an excellent catalyst should be moderate, neither too weak to activate the reactants nor too strong to poison the active sites, which could be attributed to the existence of scaling properties of adsorption energies on the metal surface.2,108,109 The unique geometry and electronic structure of synergistic sites could adjust the energy barrier of activation, which in turn affects the reactivity and meeting specific reaction requirements. In this section, some representative catalytic reactions are selected to illustrate the unique structure–property relationship of SAC-NPs, SACCs, DACs and SAAs.

4.1 Synergistic single-atomic catalysis in the CO2RR

The electrochemical reduction of carbon dioxide (CO2RR) to value-added fuels or chemicals (i.e., carbon monoxide, formate, methanol, methane, ethylene, ethanol, etc.) provides a promising route to alleviate global carbon balance and energy crisis. A high overpotential is needed to overcome the activation barrier of CO2 reduction, but the high reduction potential will also cause the violent competition reaction of the HER, which greatly reduces the faradaic efficiency and selectivity of the CO2RR.110,111 Thus, the exploitation of an active and stable electrocatalyst is highly demanded. In addition, the scaling relationships between the adsorption strength of reaction intermediates (such as *CO, *COOH, *CHO) strongly restrict the theoretical performance.112 The CO2RR involves multiproton-coupled electron transfer (PCET) and a complex reduction mechanism, which further limit the catalytic activity, while the synergistic effect and more sophisticated functionalities in SAC-NPs, SACCs, DACs and SAAs may overcome this limitation, where two catalytic sites can provide different intermediate binding energies to break scaling relationships and achieve excellent CO2RR activity, as summarized in Table 1. Moreover, the reaction kinetics could be boosted by the atomic dispersion sites. For example, a single-atom incorporated carbon material is an effective CO2RR catalyst due to the strong interaction between metal atoms and substrates, but the carbon-based SACs still cannot solve the issue of slow reaction kinetics.113 Based on this, Ye et al. developed a sheet-like open nanostructure with a metal Ni core wrapped by a Ni–N doped carbon skeleton (Ni-NC@Ni). Such a nanostructure mainly presents two major advantages: (i) the rich isolated Ni–N species (∼4.23 at%) embedded in the carbon layer acts as an active site for the CO2RR to produce CO; (ii) the Ni nanoparticle core wrapped by the carbon shell serves as a good conductor to accelerate electron transport.38 Owing to these structural properties, the Ni-NC@Ni catalyst exhibits excellent CO2RR activity.
Table 1 A summary of synergistic single-atomic catalysis in the CO2RR
Synergistic effect Catalysts Performance or parameters Ref.
SAC-NPs Ni-NC@Ni High selectivity for CO product (faradaic efficiency ∼87%) at a moderate overpotential of 670 mV Nano Energy, 2020, 77, 105010 (ref. 38)
SAC-NPs Ni@NiN4CM The maximum COFE of around 97.6% at −0.9 V and >90% CO selectivity at a high current density of 100 mA cm−2 Angew. Chem., Int. Ed., 2021, 60, 11959 (ref. 39)
SACCs Cu–S1N3/Cux High FECO over 90% from −0.55 to −0.75 V, outperforming the analogues with Cu–N4 (∼54%) and Cu–S1N3 (70%) Angew. Chem., Int. Ed.,2021,60, 24022, DOI: (ref. 114)
SACCs Au19Cd2 Exhibits the highest CO2RR activity (2200 mA mg−1 at −1.0 V vs. RHE) among the reported gold nanoclusters Angew. Chem., Int. Ed., 2021, 60, 6351 (ref. 145)
DACs Pd2 DAC With 98.2% CO faradaic efficiency at −0.85 V vs. RHE, far exceeding that of Pd1 SAC Angew. Chem., Int. Ed., 2021, 60, 13388 (ref. 117)
DACs Ni2/NC The dinuclear Ni2 catalyst exhibits >94% faradaic efficiency for efficient carbon monoxide production J. Am. Chem. Soc., 2021, 143, 11317 (ref. 116)
DACs CoNi-NC Show a high syngas evolution (total current > 74 mA cm−2) with CO/H2 ratios (0.23–2.26) Angew. Chem., Int. Ed., 2020, 59, 3033 (ref. 146)
DACs ZnCoNC Show a CO faradaic efficiency of 93.2% at −0.5 V vs. RHE during a 30 hours test Angew. Chem., Int. Ed., 2020, 59, 12664 (ref. 118)
DACs Ni/Fe–N–C Exhibits high selectivity with CO faradaic efficiency above 90% over a wide potential range from −0.5 to −0.9 V Angew. Chem., Int. Ed., 2019, 58, 6972 (ref. 147)
DACs Fe/Cu–N–C Exhibits an excellent CO faradaic efficiency >95% over a wide potential range of −0.4 to −1.1 V vs. RHE J. Mater. Chem. A, 2021, 9, 23817, DOI: (ref. 115)
SAAs np-Cu1Au SAA With nearly 100% CO Faraday efficiency in a wide potential range (−0.4 to −0.9 V vs. RHE Sci. China. Mater., 2021, 64, 1900 (ref. 65)
SAAs Bi–Pd SAA NDs The FEs of CO reach 91.8% in gas diffusion flow cells with overpotentials of only 200 mV Appl. Catal. B: Environ., 2021, 289, 119783 (ref. 121)
SAAs M–AuPd(20) M–AuPd showed 26-fold enhancement in partial current density toward formate with >99% FE, compared to Pd/C J. Am. Chem. Soc., 2021, 143, 5386 (ref. 68)
SAAs Pd@Au Catalytic activity for electroreduction of CO2 to CO exhibits a nonlinear behavior depending on the Pd content J. Am. Chem. Soc., 2019, 141, 16635 (ref. 64)
SAAs Cu1Sn1 A maximum faradaic efficiency (FE) of 95.4% for formate at −1.2 V vs. RHE ACS Catal., 2021, 11, 11103 (ref. 148)


In addition, it has been proved that the transfer of the delocalized unpaired electron from the TM center to reactants was beneficial for the activation and adsorption of CO2 molecules. By introducing TM nanoparticles (NPs) in a single-atom catalytic system, the formation of adsorbed hydrogen with a suitable binding energy to accelerate the protonation reaction kinetics could be promoted. For example, Hou et al. developed a hybrid CO2RR catalyst containing Ni NPs supported by a carbon matrix with atomically dispersed NiN sites (Ni@NiNCM). As shown in Fig. 11a, the Ni@NiNCM catalyst delivered more favorable CO2RR activity than the NiNCM catalyst.39 The computational studies also predicted that the Ni NPs could modify the electronic structures of adjacent NiN4 centers to form an interactive active center, which could accelerate the *COOH transition to *CO by virtue of the short bond length (Fig. 11b and c). In addition to TM nanoparticles, nanoclusters are also introduced to enhance the reactivity. Yu et al. designed a novel tandem electrocatalyst for CO2-to-CO conversion comprising a single Cu site and dispersed Cu clusters, denoted as Cu–S1N3/Cux. The experimental results show that the adjacent Cux cluster sites could effectively promote the protonation of *CO2 by accelerating water dissociation and offering *H to Cu–S1N3 active sites.114 Additionally, as another further expansion of the SAC series, DACs introduce synergistic sites to distribute electrons, which can break the linear relationship of adsorption energies of different reaction intermediates. For instance, an Fe–Cu diatomic site with a unique coordination structure (FeN4–CuN3) was precisely controlled by He et al.115 As shown in Fig. 11d, compared to Cu–N4 and Fe–N4, FeN4–CuN3 has a more positive UL(CO2) − UL(H2) value, confirming its ability to restrict the HER and promote CO production. Yao et al. designed a uniform atomically precise Ni2 site, consisting of two Ni1–N4 moieties on a nitrogen-doped carbon (Ni2/NC).116 According to the Gibbs free energy diagram and reaction pathways (Fig. 11e), the O–Ni2–N6, Ni2–N6, Ni–N4, and N-G models displayed free energy changes (ΔG) of 0.77, 1.35, 1.54, and 1.67 eV. For Ni2/NC, a CO formation faradaic efficiency of 94.3% was achieved at 150 mA cm−2, which was 1.3- and 10.6-fold higher than that of Ni1/NC and NC, respectively (Fig. 11f and g). These results indicated that the O–Ni2–N6 can greatly lower the energy barrier of *COOH formation and improve the reactivity. Additionally, Li et al. synthesized a supported Pd2 DAC and used it for CO2 electroreduction. The as-obtained Pd2 DAC exhibited superior CO2RR activity with 98.2% CO faradaic efficiency at −0.85 VRHE, far exceeding that of Pd1 SAC.117 Gong et al. reported the coordination of Zn and Co atoms on N doped carbon (ZnCoNC), which showed a FECO of 93.2% at −0.5 VRHE during a 30 hours test. These studies show the great potential of DACs in CO2 electroreduction application.118


image file: d1ta08561a-f11.tif
Fig. 11 Synergistic catalysis in the CO2RR. Ni@NiNCM: (a) polarization curves of Ni@NiNCM (red solid) and NiNCM (black solid) in CO2-saturated 0.5 M KHCO3 solution and the dotted lines represent those in Ar-saturated 0.5 M KHCO3 solution. (b) DFT-based free energy profiles for the optimized Ni@NiN1CM, Ni@NiN2CM, Ni@NiN3CM, and Ni@NiN4CM models during the CO2RR. (c) A proposed reaction mechanism for CO production via the CO2RR. Ni yellow, N blue, O pink, C gray, H red. Reproduced from ref. 39 with permission from Wiley-VCH GmbH, copyright 2019. Fe/Cu–N–C DAC: (d) limiting potential differences for the CO2RR and HER on different active moieties at 0 V vs. RHE. Reproduced from ref. 115 with permission from the Royal Society of Chemistry, copyright 2021. Ni2/NC DACs: (e) calculated Gibbs free energy diagrams for the CO2RR to produce CO on various catalysts. (f) CO FE in the current density range 50–200 mA cm−2. (g) Proposed reaction pathways on O–Ni2–N6. Reproduced from ref. 116 with permission from the American Chemical Society, copyright 2021. DFT calculations of SAAs: (h) Gibbs free binding energy of *CHO (ΔG*CHO) against that of *H (ΔG*H). The equation for the linear fitting line is ΔG*CHO = 1.61 × ΔG*H + 0.07, and the correlation coefficient (R2) is 0.90. Reproduced from ref. 119 with permission from the American Chemical Society, copyright 2016. np-Cu1Au SAA: (i) corresponding CO FEs at different applied potentials. Reproduced from ref. 65 with permission from the American Chemical Society, copyright 2016. BiPd-SAA ND: (j) illustration of the gas diffusion flow cell for the electrochemical CO2RR on the C–Bi6Pd94-SAA ND catalyst. Reproduced from ref. 120 with permission from Science China Press and Springer-Verlag GmbH Germany, part of Springer Nature, copyright 2021.

Besides, another important expansion of the SAC series is single-atomic alloys (SAAs). In 2016, Martin et al. showed that SAAs are promising electrocatalysts for CO2 reduction to C1 hydrocarbons in aqueous solution by density functional theory calculations combined with the Poisson–Boltzmann implicit solvation model.119 They studied 28 SAAs, and found that about half of them selectively favor the CO2RR over the competing HER (Fig. 11h). The SAAs contain isolated single-atom surface sites of M (M = Cu, Ni, Pd, Pt, Co, Rh, and Ir), as surface substitutions in Au or Ag. Initial reduction of CO2 to CO occurs on the Au or Ag host, and then CO binds preferentially to M, forming an internal tandem catalysis. Recently, Tan et al. reported a hierarchically porous Cu1Au SAAs as a highly efficient catalyst for CO2 electroreduction.65 Benefiting from the hierarchically porous architectures with abundant vacancy defects, the as-prepared nanoporous Cu1Au SAAs catalyst shows remarkable CO2RR activity with nearly 100% CO Faraday efficiency in a wide potential range (−0.4 to −0.9 V vs. RHE) (Fig. 11i). This was mainly ascribed to the Cu–Au interface sites, which could facilitate the activated adsorption of CO2 molecule and stabilize the *COOH intermediate. Li et al. reported Bi–Pd SAA nanodendrites with Bi atomically dispersed in Pd matrices for the efficient CO2RR to produce CO.120 In gas diffusion flow cells (Fig. 11j), the faradaic efficiencies of CO on the BiPd-SAA ND catalyst reach 91.8% with overpotentials of only 200 mV. The significantly enhanced activity and selectivity for CO formation on the BiPd-SAA catalyst can be attributed to the reduced surface H coverage stemming from the weaker H affinity compared to pure Pd, which inhibits H2 and formate formation and decreases the reaction barrier for *COOH generation.

4.2 Synergistic single-atomic catalysis in the ORR

The oxygen reduction reaction (ORR) occurring at the cathode of fuel cells is one of the most vital reactions for energy conversion, and it is considered as the rate-limiting step in determining the overall performance of fuel cell devices due to its sluggish kinetics. The ORR proceeds through either a 4-electron pathway (O2 + 4H+ + 4e → 2H2O) or a 2-electron pathway (O2 + 2H+ + 2e → H2O2). For metal–air batteries or fuel cell batteries, currently, an efficient catalyst could reduce oxygen directly into water through a 4e pathway with fast kinetics. While Pt-based materials are well known as the most active candidates toward the ORR, their intrinsic high costs limit their large-scale application.121,122 In recent years, various transition metals, especially single-atomic catalysts (SACs), embedded in carbon-based materials have emerged as promising alternatives, which offer the advantages of fully utilized atomic sites with tunable electronic configuration and atomic coordination that facilitate the charge transfer between reactants and intermediates, thus enhancing the ORR performance.123 It is worth noting that the metal–support interaction is most prominent for the SAC catalyst and the ORR activity could be effectively adjusted by modulating the metal–support interaction. Inspired by this, some synergistic components, such as local coordination atoms, nanoparticles, clusters, or other metal single-atoms, have been proposed to engineer the local environment of SACs, as summarized in Table 2.
Table 2 A summary of synergistic single-atomic catalysis in the ORR
Synergistic effect Catalysts Performance or parameters Ref.
SAC-NPs Pt3Co/FeN4–C Mass activity (0.72 A mgPt−1), power density (824 mW cm−2 at 0.67 V), and stability (23 mV loss at 1.0 A cm−2) Energy Environ. Sci., 2021, 14, 4948 (ref. 37)
SAC-NPs Co-NCS-2 Superior ORR performance with a half-wave potential (J1/2) of 0.90 V, outperforming the commercial Pt/C Nano Energy, 2021, 87, 106153 (ref. 40)
SAC-NPs Fe–N-HMCTs Excellent ORR activity (onset potential, 0.992 V; half-wave potential, 0.872 V), favorable long-term stability Adv. Funct. Mater., 2021, 31, 2009197 (ref. 42)
SAC-NPs Fe3C@C–Fe SAS In neutral electrolyte with the onset potential of 0.99 V and negligible activity loss after 30k cycles Nano Energy, 2021, 84, 105840 (ref. 149)
SAC-NPs CoSAs/SNPs@NC Maximum power density of 223.5 mW cm−2, high specific capacity of 742 W h kg−1 at 50 mA cm−2 Adv. Funct. Mater., 2021, 2104735 (ref. 124)
SACCs FeAC@FeSA–N–C The half-wave potential is 0.912 V vs. RHE, exceeding that of commercial Pt/C (0.897 V) and FeSA–N–C (0.844 V) ACS Nano, 2019, 13, 11853 (ref. 47)
SACCs Fe/NC The high Eonset of 0.97 V in base and 0.80 V in acid Small Methods, 2021, 2001165 (ref. 48)
SACCs FeCo SAs@Co/N-GC Show superb catalytic activity with a half-wave voltage (E1/2) of 0.88 V and a limited current density of 6.70 mA cm−2 ACS Nano, 2021, 15, 14683 (ref. 46)
DACs Fe–N4/Pt–N4@NC Exhibit a half-wave potential of 0.93 V and negligible activity degradation (ΔE1/2 = 8 mV) after 10[thin space (1/6-em)]000 cycles Angew. Chem., Int. Ed., 2021, 60, 19262 (ref. 57)
DACs Zn/CoN–C ORR performance under both alkaline and acidic conditions with a half-wave potential of 0.861 and 0.796 V Angew. Chem., Int. Ed., 2019, 58, 2622 (ref. 55)
DACs Co1-PNC/Ni1-PNC Exhibit the most positive ORR onset potential and halfwave potential (Eonset = 1.00 V, E1/2 = 0.88 V) Nano Res., 2021, 14, 3482 (ref. 150)
DACs Fe/Ni–Nx/OC ORR activity with a half-wave potential (E1/2) of 0.938 V Adv. Mater., 2020, 32, 2004670 (ref. 126)
DACs (Fe,Co)/N–C Onset potential (Eonset, 1.06 vs. 1.03 V) and half-wave potential (E1/2, 0.863 vs. 0.858 V) J. Am. Chem. Soc., 2017, 139, 17281 (ref. 91)
DACs Co–N–C-x Show unprecedented catalytic activity in acidic electrolytes with a half-wave potential of 0.79 V Nano Energy, 2018, 46, 396 (ref. 151)
DACs Cu/Zn-NC E onset of 0.98 V and an E1/2 of 0.83 V, excellent stability (no degradation after 10[thin space (1/6-em)]000 cycles) Angew. Chem., Int. Ed., 2021, 60, 14005 (ref. 58)
DACs Pt1–Fe/Fe2O3 Exhibit onset and half-wave potentials of 1.15 V and 1.05 V, mass activity of 14.9 A mgPt−1 (at 0.95 V) Nat. Energy, 2021, 6, 614 (ref. 125)
DACs CoFe@C The half-wave potential approached that of Pt/C with a gap of only 32 mV Angew. Chem., Int. Ed., 2019, 58, 1975 (ref. 152)
SAAs Pt–Pd SAA A mass activity of 0.91 A mgPt−1 at 0.9 V, which is around 4 times higher than that of the Pt/C catalyst (0.24 A mgPt−1) ACS Catal., 2019, 9, 9350 (ref. 127)
SAAs Au1−xPdx/C Increasing the Pd concentration to 8% leads to an increase of the electrocatalytic H2O2 production selectivity up to ∼95% J. Am. Chem. Soc., 2011, 133, 19432 (ref. 153)


Remarkably, it is reported that the introduction of some metal-based nanoparticles and/or nanoclusters makes it possible to accelerate the ORR reactivity of SACs, and it is urgent to deeply explore the synergistic effects and the nature of the catalytic processes. For example, Zhu et al. reported a graphene-encapsulated Fe3C particle (Fe3C@C) boosting Fe SAC (Fe3C@C–Fe SACs) catalyst. Owing to the strong synergistic effects between Fe SACs and Fe3C@C nanocrystals, Fe3C@C–Fe SACs shows good ORR performance in a neutral electrolyte with the onset potential of 0.99 V and negligible activity loss after 30k cycles of durability test (Fig. 12a).28 Moreover, Fe3C@C–Fe SACs exhibits an exceptional peak power density of 74.8 mW cm−2 at 152.8 mA cm−2, outperforming the batteries with Pt/C (40.3 mW cm−2 at 89.5 mA cm−2) (Fig. 12b). They judged that the introduction of Fe3C@C nanocrystals contributes to the adsorption of O2 molecules and desorption of *OH on Fe SACs, leading to fast ORR reaction kinetics. Wu et al. also found a synergistic interaction between Pt NPs and surrounding FeN4 sites by weakening the O2 adsorption on Pt sites and reducing the activation energy to break O–O bonds, thereby enhancing the intrinsic activity of Pt.37 Lu et al. reported a highly efficient and durable ORR catalyst, which consists of atomically dispersed Co single atoms (Co-SACs) in the form of Co–N4 moieties and small Co nanoparticles (Co-SNPs) co-anchored on N-doped porous carbon (Co–SAs/SNPs@NC).124 Due to the synergistic effect of Co-SACs and Co-SNPs, the resultant Co–SAs/SNPs@NC catalyst shows excellent ORR activity and stability in alkaline media, outperforming the Co–SAs-based catalyst (Co–SAs@NC) and Pt/C catalyst. Besides the synergistic effects of SACs and NPs, the contributions of SACs and clusters are also vital. For example, Fe single atoms and clusters co-embedded in N-doped carbon (Fe/NC) that deliver synergistic enhancement in pH-universal ORR catalysis were reported by Lawrence et al.48 As shown in Fig. 12c, Fe/NC-3 achieves an outstanding ORR performance with a half-wave potential (E1/2) of 0.90 V, which is superior to Pt/C (0.89 V). DFT calculations indicate that the excellent ORR performance originated from the deepened d-band center and weakened binding strength for intermediates (Fig. 12d). For the FeN4/C model, 0.57 eV is required for the potential determining step (HO* + H + e → H2O + *), while the value is decreased to 0.5 eV for FeN4/Fe4/C, which leads to faster ORR kinetics (Fig. 12e).


image file: d1ta08561a-f12.tif
Fig. 12 Synergistic catalysis in the ORR. Fe3C@C–Fe SAS: (a) polarization curves, LSV curves and comparison of Eonset of various catalysts. (b) The power density curves of neutral ZABs of Fe3C@C–Fe SAS and commercial Pt/C. Reproduced from ref. 28 with permission from Elsevier Ltd, copyright 2021. Fe/NC: (c) ORR polarization curves in O2-saturated 1 M KOH at 1600 rpm. Inset is the half-wave potentials obtained from the polarization curves. (d) Proposed ORR mechanism in alkaline solution for the FeN4/Fe4/C structure. White, red, gray, blue, and purple balls represent H, O, C, N, and Fe atoms, respectively. (e) The corresponding free energy diagrams for the ORR at U = 1.23 V and pH = 0. Reproduced from ref. 48 with permission from Wiley-VCH GmbH, copyright 2021. Pt1–Fe/Fe2O3: (f) comparison of mass activity at 0.95 V versus RHE. (g) The proposed ORR mechanism on single-site platinum and Pt–Fe pairs (violet, iron; red, oxygen; dark blue, platinum; white, hydrogen). Reproduced from ref. 125 with permission from the author(s), under exclusive license to Springer Nature Limited, copyright 2021. Fe/Ni–Nx/OC: (h) the ORR polarization curves of Fe/Ni–Nx/OC, Fe–Nx/OC, Ni–Nx/OC, OC, and Pt/C in O2-saturated 0.1 M KOH at a rotating rate of 1600 rpm, and (i) the corresponding Tafel plots. (j) Proposed structural model of Fe/Ni–Nx/OC. Reproduced from ref. 126 with permission from Wiley-VCH GmbH, copyright 2020. Pt/Pd SAA: (k) most stable adsorption configurations of OH on Pt-SAA/Pd(111) and PtOL/Pd(100). Reproduced from ref. 127 with permission from the American Chemical Society, copyright 2020.

In addition, the introduction of a second metal atom can enhance the activity of SACs due to the presence of more catalytic sites, which bodes well for the expansion of dual-atom site catalysts (DACs). For example, Zou et al. loaded platinum onto α-Fe2O3 to construct a highly active ORR catalyst with dispersed Pt–Fe pair sites, which show a high mass activity of 14.9 A mgPt−1 at 0.95 V (Fig. 12f).125 A detailed ORR reaction path on a single-site Pt–Fe pair is illustrated in Fig. 12g, suggesting that the ORR kinetics is mostly attributed to easy O2 activation on a single-site Pt–Fe pair and OH* desorption on single-site platinum. Zhao et al. also reported a hetero-single-atomic ORR catalyst with atomically dispersed Fe and Ni co-anchored to N-doped graphitic carbon (denoted as Fe/Ni–Nx/OC).126 For comparison, the ORR performances of Fe/Ni–Nx/OC, OC, Ni–Nx/OC, Fe–Nx/OC, and Pt/C were evaluated together. Among them, as shown in Fig. 12h, Fe/Ni–Nx/OC exhibits the best ORR activity with a half-wave potential (E1/2) of 0.938 V, which is 267, 90, 84, and 66 mV higher than that of OC (E1/2 = 0.671 V), Ni–Nx/OC (E1/2 = 0.848 V), Fe–Nx/OC (E1/2 = 0.854 V), and the benchmark Pt/C (E1/2 = 0.872 V), respectively. The excellent ORR activity of Fe/Ni–Nx/OC can be further evidenced by its smallest Tafel plot slope (59.9 mV dec−1) among all the investigated samples (Fig. 12i and j). In addition to the carbon support, the metal single atoms could also be located on the surface of a different metal, which is named single-atom alloys (SAAs). As one typical kind of single-atom catalysts, Pt-based SAAs have gained great interest due to their unique advantages in the ORR. For instance, Botton and Sun et al. successfully prepared octahedral Pt/Pd SAA catalysts,127 with the formation of an alloy structure. The ORR activities of the Pt atom could be improved due to the synergistic effect of Pt and Pd. Furthermore, they used DFT calculations to probe the enhanced mechanism of the Pt atoms on Pd surfaces with different structures during the ORR processes, revealing that the Pt/Pd SAA structure could weaken the interaction between OH* and surface Pt atoms, and the desorption of OH* is the rate-determining step (Fig. 12k). All in all, these studies open up a new avenue to develop new types of metal-based catalysts for the ORR and bring a new understanding about the synergistic mechanism of single-atomic catalysts.

4.3 Synergistic single-atomic catalysis in the HER

Water splitting provides an efficient and sustainable route for clean hydrogen energy and the production of H2. Particularly, the HER is a two electron transfer reaction taking place on the electrode surface through two steps (2H+ + 2e → H2), consisting of the adsorption of hydrogen (Volmer reaction) and the desorption of H* (Heyrovsky or Tafel reactions).128,129 The first step (Volmer or discharging reaction) of the HER is discharging protons (H+) to form an absorbed hydrogen intermediate (Hads) by coupling with an electron on the active surface of an electrode, and in the second step, H2 gas forms via two different mechanisms (Heyrovsky or Tafel reactions), depending on the Hads coverage on the electrode surface. According to the Nørskov principle, a good HER catalyst should bond to adsorbed H* with sufficient strength to facilitate the proton–electron-transfer process. While Pt-based catalysts meet the design principle and exhibit the most remarkable HER activity, their scarcity and high cost significantly limit their commercial applications.130 Thus, it remains a huge challenge to develop highly efficient and low-priced hydrogen evolution electrocatalysts. Reducing the size of the metal NPs to clusters or even single atoms could significantly decrease the noble metal usage and increase their catalytic activity; nevertheless, the isolated single atoms are unstable and usually anchored on specific supports by chemical bonding with surrounding atoms.131,132 Therefore, the catalytic activities of SACs highly depend on the local coordination environment of metal centers (the geometric and electronic interactions between metal atoms and their supports). To further increase the metal active center, the coexistence of transition metal atoms and nanoparticles (NPs) or clusters was developed and has been proved to further optimize the catalytic ability, as summarized in Table 3. For example, Wang et al. proposed an efficient strategy to construct porous N-doped carbon fiber supported Ni SACs and NP hybrid with accessible active sites (Ni SA/NP-NCF-800).133 The unique configuration endows the hybrid with outstanding hydrogen evolution performance along with the low overpotential (137.3 mV to afford 10 mA cm−2) and robust long-term durability in alkaline media. They further revealed that the synergistic effect of atomically dispersed Ni and nanoparticles could optimize H adsorption free energy and enhance water adsorption/dissociation abilities. In addition, Su et al. designed a hybrid HER catalyst (Ru/Co@OG), comprising both Ru nanoparticles and dispersed metal atoms, which exhibited an ultralow Tafel slope of 22.8 mV dec−1 and low overpotential of 13 mV at a current density of 10 mA cm−2. To better understand the enhanced HER performance of Ru/Co@OG, the free adsorption energy for H* species (ΔGH*) and kinetic barrier for water dissociation (Ea) are taken into account to characterize the HER activity in alkaline media.134 As shown in Fig. 13a and b, Ru/Co@OG shows optimal adsorption strength towards H species with ΔGH* of −0.05 to 0.05 eV, and the activities of Ru nanoparticles and single metal atoms on substrates show a clear linear relationship with the d band center, as evident in Fig. 13b. According to the d band theory, a lower d band center corresponds to more occupancy of the antibonding state between the catalyst and H* adsorbate, which results in weaker but more optimal H* binding strength for hydrogen evolution.
Table 3 A summary of synergistic single-atomic catalysis in the HER
Synergistic effect Catalysts Performance or parameters Ref.
SAC-NPs Ni SA/NP-NCF A low overpotential of 137.3 mV to afford 10 mA cm−2, a high turnover frequency of 0.077 s−1 at 200 mV Carbon., 2021, 185, 96 (ref. 113)
SAC-NPs Ru/Co@OG An overpotential of 13 mV at a current density of 10 mA cm−2 and ultralow Tafel slopes of 22.8 mV dec−1 Angew. Chem., Int. Ed., 2021, 60, 16044 (ref. 134)
SACCs Ru–C5 SACs@Ru–O4 clusters Largely boosts alkaline HER with only an overpotential of 18 mV at 10 mA cm−2 Small, 2021, 2101163 (ref. 34)
SACCs Pt0.2–CeO2 The mass activity of Pt0.2–CeO2 for the HER is around 50 times that of Pt/C Electrochim. Acta, 2019, 297, 155 (ref. 154)
SACCs ALDPt/NGNs The mass activity of the HER for the ALDPt/NGNs catalysts at the overpotential of 0.05 V was 10.1 A mg−1 Nat. Commun., 2016, 7, 13638 (ref. 49)
DACs Ru/Ni–MoS2 Exhibited a super-low overpotential of 32 mV at 10 mA cm−2 with the corresponding Tafel slope of 41 mV dec−1 Appl. Catal., B, 2021, 298, 120557 (ref. 84)
DACs W1Mo1–NG Produce a cathodic geometric current density (j) of 10 mA cm−2 at an overpotential of 24 mV Sci. Adv., 2020, 6, eaba6586 (ref. 51)
SAAs np-Cu53Ru47 Achieving 10 mA cm−2 at low overpotentials of ∼15 and ∼41 mV in both alkaline and neutral electrolytes ACS Energy Lett., 2020, 5, 192 (ref. 66)
SAAs Pt–Pd SAA The mass HER activity for the octahedral Pt/Pd SAA catalysts at the overpotential of 0.05 V is 23.5 A mg−1 ACS Catal., 2019, 9, 9350 (ref. 127)
SAAs RuAu SAAs Exhibit a high stability and a low overpotential of 24 mV @ 10 mA cm−2 Adv. Energy Mater., 2019, 1803913 (ref. 135)



image file: d1ta08561a-f13.tif
Fig. 13 Synergistic catalysis in the HER. Ru/Co@OG: (a) free energy diagrams for hydrogen evolution at zero potential and pH = 0 on various catalysts by DFT calculation. (b) ΔGH* as a function of the d band center of transition metal atoms (the inset is a schematic illustration of bond formation between the supported metal nanoparticle and adsorbed H* species). Reproduced from ref. 134 with permission from the authors and Wiley-VCH GmbH, copyright 2021. Ru ADC: (c) LSV curves for alkaline HER. (d) Tafel plots of samples. Reproduced from ref. 34 with permission from Wiley-VCH GmbH, copyright 2021. W1Mo1–NG: (e) the polarization curves and corresponding Tafel plots of Mo2–NG, W1Mo1–NG, W2–NG, NG, and Pt/C in 0.5 M H2SO4. (f) ΔGH diagrams of W1Mo1–NG, Mo2–NG, and W2–NG. (g) Optimized geometries and possible sites for H adsorption on W1Mo1–NG, Mo2–NG, and W2–NG systems. Atom colors: cyan, Mo; royal blue, W; dark gray, C; blue, N; red, O; orange, H. Reproduced from ref. 51 with permission from the authors and exclusive licensee American Association for the Advancement of Science, copyright 2021. Pt–Pd SAA: (h) normalized mass activity at 0.05 V. (i) Durability measurement of the octahedral Pt–Pd SAA catalysts and commercial Pt/C catalysts. Reproduced from ref. 127 with permission from the American Chemical Society, copyright 2019. RuAu SAA: (j) durability test. (k) Gibbs free energy profile of the HER on Pt (111), Ru (001), and RuAu (001) surfaces. ΔGT represents the energy barrier for the Heyrovsky reaction. ΔGB represents the activation energy of water dissociation. Reproduced from ref. 135 with permission from Wiley-VCH GmbH, copyright 2019.

Coupling multi-active sites into one catalyst for the hydrogen evolution reaction is a direct method to compensate for the drawback of single-site catalysts. In addition to the coexistence of nanoparticles with single-atomic sites, monodisperse nanoclusters could enhance the synergistic effect. For instance, Cheng et al. constructed a Ru atomically dispersed catalyst (Ru ADC) with Ru–C5 single atoms and Ru oxide nanoclusters (≈1.5 nm).34 It was found that the obtained Ru ADC largely boosts alkaline hydrogen evolution by concerted catalysis between single atoms and sub-nanoclusters. Fig. 13c shows that Ru ADC only needs an overpotential of 18 mV to obtain a current density of 10 mA cm−2, while Ru NPs and 20% Pt/C require overpotentials of 98 and 46 mV, respectively. In addition, the Tafel slope of Ru ADC is 41 mV dec−1, which is smaller than that of Ru NPs (53 mV dec−1) and 20% Pt/C (65 mV dec−1), as shown in Fig. 13d. It can be seen that Ru ADC with highly active monodispersed clusters and single sites can display excellent HER activity. The synergetic catalysis process is described as follows: (i) Ru–C5 single atoms provide spaces for efficient capture of water molecule. (ii) The coupling of Ru–O4 nanoclusters and Ru–C5 single atom is responsible for the destabilization of bonds in the water molecule, favoring its dissociation into H and OH. This study opens up a simple strategy to tune dual-atom sites. Compared to single-atom components, multiatom catalysts with tunable electronic states could further improve the intrinsic activity and stability. In a multiatom catalytic system, the strong chemical interactions between neighboring atoms can efficiently stabilize the individual species and prevent agglomeration. Within this context, dispersing metal atoms on a support into a cluster or dinuclear type could improve the catalytic activity by tuning the coordination number (CN), ligand atom, and structural distortion. Recently, Fan et al. developed a dual-atom catalyst (DAC) consisting of an O-coordinated W–Mo heterodimer embedded in N-doped graphene (W1Mo1–NG), which enables Pt-like activity and ultrahigh stability for the HER in a pH-universal electrolyte.51 As illustrated in Fig. 13e, W1Mo1–NG exhibits excellent HER activity, giving a near-zero onset potential (Uonset) in acidic electrolytes, and produces cathodic geometric current density (j) of 10 mA cm−2 at an overpotential of 24 mV. By comparing the ΔGH of homonuclear Mo2–NG, W2–NG and W1Mo1–NG (Fig. 13f and g), we can see that the heteronuclear W1Mo1–NG with diverse binding sites is more active than the homonuclear catalysts. In addition to the carbon support, metal single atoms can also be located on the surface of a different metal, which is named single-atom alloys (SAAs). Botton et al. successfully prepared octahedral Pt/Pd SAA catalysts,127 which exhibited greatly improved HER activity compared to commercial Pt/C. The mass HER activity for the octahedral Pt/Pd SAA catalysts at the overpotential of 0.05 V is 23.5 A mg−1, which is 54.6 times greater than that of the Pt/C catalysts (0.43 A mg−1) (Fig. 13h). Moreover, due to the strong interaction between Pt atoms with Pd surface, the Pt/Pd SAA catalysts exhibited better stability than the Pt/C catalysts, as exhibited in Fig. 13i. Du et al. also reported a novel RuAu SAA, which exhibits high stability and low overpotential in alkaline media (Fig. 13j).135 The superior HER activity and stability are also attributed to the relatively high total unoccupied density and the synergistic effect of stable metallic Au on Ru particles (Fig. 13k). In future, a clear insight into the synergistic catalytic process between metal components and isolated metal sites in one catalyst is necessary.

4.4 Synergistic single-atomic catalysis in the OER

The water-splitting reaction consists of two key half reactions: the cathodic HER: 2H+ + 2e → H2 and anodic OER: 2H2O → O2 + 4H+ + 4e in acidic electrolytes or 4OH → 2H2O + O2 + 4e under neutral or alkaline conditions. Currently, the critical bottleneck of water splitting is the oxygen evolution reaction (OER) due to the high thermodynamic potential and sluggish kinetics compared to the HER.136 Besides, the OER also plays an important role in rechargeable batteries, such as zinc–air and lithium–air batteries. However, the intense degradation of catalysts in low pH and the strong oxidative environment seriously impede its practical application. Various efforts have been devoted to develop heterogeneous OER catalysts with excellent reactivity and stability. However, the heterogeneous nature of these catalysts makes it hard to explore the nature of their active sites.137 Single-atomic catalysis has emerged as an efficient way to combine the single-site nature of homogeneous catalysis with the high selectivity of heterogeneous catalysis. Compared to single-atomic catalysts, dual-atomic catalysts would be more active for the oxygen evolution reaction, as summarized in Table 4. For example, Hu et al. reported a Co–Fe double-atom catalyst (Co–Fe–N–C), which exhibits turnover frequencies (TOFs) comparable to those of state-of-the-art OER catalysts.138 Such a dual-atomic catalyst bridges the transitionally separated molecular and solid-sate catalysts, and provides an attractive platform for fundamental studies of metal sites in the OER. Lee et al. constructed a FeCo dual-site catalyst (FeCoSAs@Co/N-GC), which shows exceptional OER activity, reversible redox kinetics, and durability in universal pH environments.46 As shown in Fig. 14a, FeCoSAs@Co/N-GC demonstrated the lowest overpotential (Ej=10) of 0.29 V, outperforming that of RuO2 (Ej=10 = 330 mV). Moreover, FeCoSAs@Co/N-GC displayed 10[thin space (1/6-em)]000 CV cycle stability with negligible loss of overpotential (Fig. 14b). Additionally, Chen et al. demonstrated a diatomic NiFe catalyst supported by nitrogen-doped graphene (NiFe-DACs) with extraordinary and stable electrocatalytic performance towards the OER (10 mA cm−2 at an overpotential of 310 mV) (Fig. 14c).56 Moreover, NiFe-DAC has the lowest Tafel slope (45 mV dec−1) as compared with Ni-SAC (92 mV dec−1) and Fe-SAC (189 mV dec−1) (Fig. 13d), indicating the fastest reaction kinetics. Such exceptional performance is attributed to the orbital coupling between the catalytic Fe center and the adjacent Ni atom, leading to a higher oxidation state of Fe. Besides carbon-based supports, Li et al. constructed a series of alloy-supported Ru1 based on different PtCu alloys, and found a volcano relationship between the OER activity and the lattice constant of the PtCu alloys.139 As illustrated in Fig. 14e, the OER overpotential of Ru1–Pt3Cu at the inverse-volcano peak outperformed the state-of-the-art RuO2 (310 mV) and IrO2 (380 mV) catalysts in acidic electrolytes. Moreover, the calculated overpotential η can be represented by a 2D volcano-type surface with respect to the free energy of the O and OH intermediates (Fig. 14f). They further revealed that the compressive strain of the Pt skin shell adjusts the electronic structure of the Ru1, leading to an optimal binding of oxygen species. These examples demonstrate the importance of metal synergistic components for improving single-atom catalytic activity.
Table 4 A summary of synergistic single-atomic catalysis in the OER and N2RR
Synergistic effect Catalyst Performance or parameters Ref.
OER
SACCs FeCoSAs@Co/N-GC Demonstrated the overpotential (Ej=10) of 0.29 V plus a Tafel value of 56.6 mV dec−1 ACS Nano, 2021, 15, 14683 (ref. 46)
DACs Co–Fe–N–C The overpotential at 10 mA cm−2 was 309 mV J. Am. Chem. Soc., 2019, 141, 14190 (ref. 138)
DACs Fe2-GNCL The Tafel slope of Fe2-GNCL (66 mV dec−1) is much smaller than that of Fe3-NPs/GNCL (137 mV dec−1) Angew. Chem., Int. Ed., 2020, 59, 16013 (ref. 59)
DACs NiFe-DACs Achieve a current density of 10 mA cm−2 at a low potential of +1.54 V vs. RHE Nat. Commun., 2021, 12, 4088 (ref. 56)
DACs Ni1/Ni2- and Fe1/Ni2-DACs The OER activity of Ni1/Ni2–Ti2CO2 is even better than that of landmark Pt(111) and IrO2(110) catalysts Adv. Mater., 2021, 2102595 (ref. 73)
SAAs Ru1–Pt3Cu Deliver 90 mV lower overpotential to reach a current density of 10 mA cm−2 Nat. Catal., 2019, 2, 304 (ref. 139)
[thin space (1/6-em)]
N 2 RR
SAC-NPs MoSAs–Mo2C Yields an ammonia formation rate of 16.1 μg h−1 cmcat−2 at −0.25 V vs. RHE Adv. Mater., 2020, 32, 2002177 (ref. 41)
SACCs Co1Ru TCs Show the highest NH3 synthesis rate (up to 21.9 mmol NH3 g−1 h−1 at 360 °C and 3 MPa) among the Ru or Co-based catalysts ACS Catal., 2021, 11, 4430 (ref. 43)
DACs M1M2N6–NG Mo–Ru, Mo–Co, Mo–W, Mo–Fe and Fe–Ru dimers exhibited onset potentials of only 0.17, 0.27, 0.28, 0.36 and 0.39 V J. Catal., 2020, 388, 77 (ref. 155)
DACs PdCu/NC Achieve a high FE of 24.8 ± 0.8% and a desirable NH3 yield rate of 69.2 ± 2.5 mg h−1 mgcat−1 Angew. Chem., Int. Ed., 2021, 60, 345 (ref. 107)
DACs M2–Pc BACs Ti2–Pc, V2–Pc, TiV–Pc, VCr–Pc, and VTa–Pc, can suppress the competitive HER with a favorable limiting potential of −0.75, −0.39, −0.74, −0.85, and −0.47 V J. Am. Chem. Soc., 2020, 142, 5709 (ref. 106)



image file: d1ta08561a-f14.tif
Fig. 14 Synergistic catalysis in the OER. FeCo SAs@Co/N-GC: (a) LSV profiles for the OER. (b) OER LSV profiles of FeCo SAs@Co/N-GC initially and after 10[thin space (1/6-em)]000 continuous cycles. Reproduced from ref. 46 with permission from the American Chemical Society, copyright 2021. NiFe-DACs: (c) LSV curves, and (d) Tafel plots for the OER in O2-saturated 1.0 M KOH at a rotation speed of 1600 rpm and a scan rate of 1 mV s−1. Reproduced from ref. 56 with permission from the author(s), copyright 2021. Ru1–Pt3Cu: (e) overpotential to reach 0.1 mA cm−2 and 10 mA cm−2 for the catalysts (left axis) and lattice parameter dependence on the composition of Pt/Cu (right axis, red line). Error bars show the s.d. evaluated from five independent measurements. (f) Calculated volcano plot of OER overpotential η with ΔGOH and ΔGO − ΔGOH as descriptors. Reproduced from ref. 139 with permission from the author(s), under exclusive license to Springer Nature Limited, copyright 2019. Synergistic catalysis in the N2RR. MoSAs–Mo2C/NCNTs: (g) the NH3 yield rate and FE of various samples. (h) 1H NMR spectra of the electrode after 12 h of electrochemical reduction using 15N2 as the feed gas. Reproduced from ref. 41 with permission from Wiley-VCH GmbH, copyright 2020. M2–Pc BACs: (i) limiting potential (UL) versus ΔG(H*) − ΔG(N2H*) on 31 M2–Pc and 6 reported catalysts. Reproduced from ref. 106 with permission from the American Chemical Society, copyright 2020. PdCu/NC: (j) NH3 yield rates of PdCu/NC, Pd/NC, and Cu/NC at each given potential in N2-saturated 0.05 M H2SO4. (k) UV-vis absorption spectra of electrolytes stained with indophenol blue indicator after the N2RR on PdCu/NC, carbon paper, Ar control experiment, and under open circuit conditions at −0.45 V vs. RHE. (l) Calculated free-energy diagrams of the N2RR and HER on PdCu/NC systems. Reproduced from ref. 107 with permission from Wiley-VCH GmbH, copyright 2021.

4.5 Synergistic single-atomic catalysis in the N2RR

The electrochemical nitrogen reduction reaction (N2RR) emerges as a promising route for the synthesis of ammonia (NH3) compared to the energy-consuming Haber–Bosch process (reaction conditions: high temperature of 300–500 °C and pressure of 200–300 atm).140,141 The N2RR involves a six-electron and a six-proton transfer process (N2 + 6H+ + 6e → 2NH3 or N2 + 3H2O → 2NH3 + 3/2O2), which is a rather complex reaction inclusive of the adsorption/activation of N2 and desorption of NH3. Currently, the major bottleneck of NH3 synthesis under electrochemical conditions is: (i) the relatively poor activity, originating from the sluggish adsorption of N2 and high cleavage energy of the N[triple bond, length as m-dash]N triple bonds (941 kJ mol−1), and (ii) the low selectivity due to the competing HER process.142,143 Therefore, it is relatively difficult to construct a N2RR catalyst with both high catalytic activity and selectivity. Besides, another restrictive factor of the N2RR is the scaling relation in which the feasibility of N2 dissociative adsorption on a catalyst is inversely related to that of the desorption of surface N-containing intermediates. In order to realize high Faraday efficiency (FE), tremendous efforts have been devoted to seek for catalytic materials that can overcome the scaling relations.

Recent research studies have shown that the surface d-band center of transition-metals (TMs) is closely related to the binding strength of N-containing intermediates. Among all reported TM catalysts, SACs with a narrow d-band have exhibited promising perspectives due to their maximized atom utilization and unsaturated coordination configuration.144 Furthermore, when nanoparticles or nanoclusters (with a broad d-band) and SACs coexist in a catalyst, it is also more likely to break the scaling relationship, as summarized in Table 4. For example, John et al. reported a unique synergistic strategy in the catalyst consisting of both MoSAs and Mo2C nanoparticles grown on a N-doped carbon nanotube support (MoSAs–Mo2C/NCNTs),41 while both the N2RR activity (16.1 μg h−1 cmcat−2 at −0.25 V) and selectivity (FE ∼ 7.1%) are greatly improved compared to those of Mo2C/NCNTs (4.3 μg h−1 cmcat−2, 3.6%) and MoSAs/NCNTs (3.3 μg h−1 cmcat−2, 1.4%), as evidenced by the 14N2 and 15N2 isotope labeling nuclear magnetic resonance (NMR) spectra (Fig. 14g and h). Huang et al. introduced a descriptor-based design principle to investigate the large composition space of dual-atomic catalysts (DACs) toward the N2RR under acidic conditions. The ΔG(H*) − ΔG(N2H*) vs. UL relationship for the 31 promising N2RR catalysts (3 homonuclear and 28 heteronuclear DACs) is shown in Fig. 14i.106 Based on this selectivity criterion, a catalyst with a positive ΔG(H*) − ΔG(N2H*) value (>0) indicates a significant preference for hydrogenation of N2* and thus presents good selectivity. Consistent with the results of this DFT prediction, Xin et al. designed a catalyst with diatomic Pd–Cu sites on N-doped carbon by modulation of single-atom Pd sites with Cu.107 The introduction of Cu can not only facilitate the hydrogen dissociation at Pd sites but also enhance the electron transfer rate by strong d–d coupling with Pd toward an excellent N2RR. As shown in Fig. 14j, NH3 yields over the PdCu/NC catalyst increase with more negative potential until reaching −0.45 V, where the maximum value of NH3 yield rate is calculated as 69.2 ± 2.5 μg h−1 mgcat−1, 4.2 and 3.0 times of Pd/NC and Cu/NC, respectively. These results are confirmed by UV-vis absorption spectra of electrolytes stained with indophenol blue indicator after the N2RR (Fig. 14k). In addition, PdCu/NC shows a much lower free-energy change for the *NNH formation (ΔG*NNH), leading to a substantial enhancement in N2RR activity compared to Pd/NC and Cu/NC (Fig. 14l). Recently, Jiang et al. constructed a Co–Ru alloy catalyst with atomically dispersed Co deposits onto the surface of Ru tiny subnanoclusters (Co1Ru TCs),132 and proved that Co1Ru TCs instead of single Ru atoms or large Ru clusters can repel the adsorption of nitrogen-containing intermediates on the catalyst surface. These findings may further inspire the design of highly efficient single atom-based electrocatalysts toward the N2RR.

5. Conclusions and perspectives

Owing to their unique atomic dispersion, quantum size effect, unsaturated coordination environment, and tunable electronic structure, SACs have not only been employed as efficient electrocatalysts to explore the structure–property relationship more deeply, but are also regarded as an ideal platform to bridge the gap between heterogeneous and homogeneous catalysis. However, SACs also suffer from some intrinsic drawbacks, such as low metal loading, aggregation, and isolated single active sites, which hinder their further development. As illustrated in the foregoing sections, when the size of the central metal atom is minimized into sub-nano clusters or single atoms, the coordination states of these atomically dispersed metal species play a key role in determining the overall catalytic performance, involving activity, selectivity, and stability. Moreover, the local environment of active centers is considered to dominate the intrinsic catalytic activity, which could be intentionally regulated by rational designs and the coupling of some synergistic components. Derived from SACs, SAC-NPs, SACCs, DACs and SAAs can increase the number of active centers and improve the strong metal–support interaction (SMSI) while still maintaining their atomic dispersion. Besides, the coordination and synergistic effect between metal atoms could more accurately tune the electronic structure, and optimize the catalytic performance. As a new expansion branch of single-atom catalysts, SAC-NPs, SACCs, DACs and SAAs have tremendous potential to overcome the intrinsic drawbacks of SACs and further understand the fundamental catalytic process at the atomic level. In this review, we summarized the recent research progress of SAC-NPs, SACCs, DACs and SAAs, including the categories, synthetic strategies and characterization techniques to determine the active center. Later, the effects of coupling-microstructure and synergistic effect on the electrocatalytic performance are further probed. Finally, we systematically summarized and compared the similarities and differences between SACs and SAC-NPs/SACCs/DACs/SAAs, and emphasized the remarkable effects of adding these synergistic components.

Nevertheless, the evolution of synergistic catalysis between different components and single atoms is still in its infancy, and many challenges need to be tackled in the next stage of research. First, besides the synergistic effect of dual sites, the three- or multiple-sites are worthy of attention. For instance, during the electrochemical reaction, some metal components will be transformed into single atoms or clusters in situ, which may present different geometric and electronic characteristics. Second, it is still hard to obtain uniform active sites of SAC-NPs, SACCs, DACs, and SAAs at the atomic level. For example, although DACs could increase the loading amounts of active sites compared with SACs, the excessive metal loading would still cause atomic aggregation and reconstruction. In addition, the uneven defects and holes of supports during the synthetic process make it hard to precisely control the exact configuration and uniform dispersion of single-atomic alloys. Thus, aggregated nanoparticles or clusters inevitably appear on the supports coupling with single-atomic sites (SAC-NPs and SACCs). Third, to monitor the evolution and real chemical state of single-atomic coordination sites during the electrocatalytic reaction, operando liquid phase-transmission electron microscopy and in situ X-ray absorption spectroscopy are effective in providing real-time structural information of intermediates. Changes in the surrounding environments of multiple sites during the reaction process lead to variations of chemical bonds and surface charge distributions. Recent studies have revealed that SAAs would suffer from heavy surface oxidation and protonation in acidic or alkaline medium. Accordingly, it is essential to build the relationships between reaction stabilities and local coordination environments. Summarily, although the practical application of SAC-NPs/SACCs/DACs/SAAs still face many challenges (including the precise synthesis, accurate active sites identify, real-time reaction observation and clear mechanism analysis), they have been at the research frontier and provide a new route to design more effective catalytic materials.

Author contributions

Both F. Y and W. X. contributed to the writing of the manuscript.

Conflicts of interest

The authors declare no competing financial interest.

Acknowledgements

The work was funded by the National Natural Science Foundation of China (21733004, 21925205, 22102151, 22072145, 22005294, 21633008, 21721003), National Key R&D Program of China (2018YFB1502302, 2017YFE0197900) and K. C. Wong Education Foundation.

References

  1. Y. Y. Birdja, E. Pérez-Gallent, M. C. Figueiredo, A. J. Göttle, F. Calle-Vallejo and M. T. M. Koper, Nat. Energy, 2019, 4, 732–745 CrossRef CAS.
  2. S. Nitopi, E. Bertheussen, S. B. Scott, X. Liu, A. K. Engstfeld, S. Horch, B. Seger, I. E. L. Stephens, K. Chan, C. Hahn, J. K. Nørskov, T. F. Jaramillo and I. Chorkendorff, Chem. Rev., 2019, 119, 7610–7672 CrossRef CAS.
  3. K. Jiao, J. Xuan, Q. Du, Z. Bao, B. Xie, B. Wang, Y. Zhao, L. Fan, H. Wang, Z. Hou, S. Huo, N. P. Brandon, Y. Yin and M. D. Guiver, Nature, 2021, 595, 361–369 CrossRef CAS.
  4. Y. Li, H. H. Wang, C. Priest, S. W. Li, P. Xu and G. Wu, Adv. Mater., 2021, 33, 2000381 CrossRef CAS PubMed.
  5. X. C. Yan, L. Z. Zhuang, Z. H. Zhu and X. D. Yao, Nanoscale, 2021, 13, 3327–3345 RSC.
  6. H. Wang and J. M. Lee, J. Mater. Chem. A, 2020, 8, 10604–10624 RSC.
  7. Y. Chen, S. Ji, C. Chen, Q. Peng, D. Wang and Y. Li, Joule, 2018, 2, 1242–1264 CrossRef CAS.
  8. A. Beniya and S. Higashi, Nat. Catal., 2019, 2, 590–602 CrossRef.
  9. X.-F. Yang, A. Wang, B. Qiao, J. Li, J. Liu and T. Zhang, Acc. Chem. Res., 2013, 46, 1740–1748 CrossRef CAS PubMed.
  10. C. Z. Zhu, S. F. Fu, Q. R. Shi, D. Du and Y. H. Lin, Angew. Chem., Int. Ed., 2017, 56, 13944–13960 CrossRef CAS.
  11. S. Mitchell, E. Vorobyeva and J. Perez-Ramirez, Angew. Chem., Int. Ed., 2018, 57, 15316–15329 CrossRef CAS.
  12. X.-L. Lu, X. Rong, C. Zhang and T.-B. Lu, J. Mater. Chem. A, 2020, 8, 10695–10708 RSC.
  13. T. N. Nguyen, M. Salehi, Q. V. Le, A. Seifitokaldani and C. T. Dinh, ACS Catal., 2020, 10, 10068–10095 CrossRef.
  14. J. Feng, H. Gao, L. Zheng, Z. Chen, S. Zeng, C. Jiang, H. Dong, L. Liu, S. Zhang and X. Zhang, Nat. Commun., 2020, 11, 4341 CrossRef PubMed.
  15. Q. Liu, Y. Wang, Z. Hu and Z. Zhang, RSC Adv., 2021, 11, 3079–3095 RSC.
  16. S. Back, J. Lim, N.-Y. Kim, Y.-H. Kim and Y. Jung, Chem. Sci., 2017, 8, 1090–1096 RSC.
  17. M.-M. Millet, G. Algara-Siller, S. Wrabetz, A. Mazheika, F. Girgsdies, D. Teschner, F. Seitz, A. Tarasov, S. V. Levchenko, R. Schlögl and E. Frei, J. Am. Chem. Soc., 2019, 141, 2451–2461 CrossRef CAS PubMed.
  18. B. You, X. Liu, G. Hu, S. Gul, J. Yano, D.-e. Jiang and Y. Sun, J. Am. Chem. Soc., 2017, 139, 12283–12290 CrossRef CAS.
  19. A. Q. Wang, J. Li and T. Zhang, Nat. Rev. Chem., 2018, 2, 65–81 CrossRef CAS.
  20. B. Peng, H. Liu, Z. Liu, X. Duan and Y. Huang, J. Phys. Chem. Lett., 2021, 12, 2837–2847 CrossRef CAS.
  21. N. C. Cheng, L. Zhang, K. Doyle-Davis and X. L. Sun, Electrochem. Energy Rev., 2019, 2, 539–573 CrossRef.
  22. J. W. Su, R. X. Ge, Y. Dong, F. Hao and L. Chen, J. Mater. Chem. A, 2018, 6, 14025–14042 RSC.
  23. F. Franco, C. Rettenmaier, H. S. Jeon and B. Roldan Cuenya, Chem. Soc. Rev., 2020, 49, 6884–6946 RSC.
  24. R. Gusmão, M. Veselý and Z. Sofer, ACS Catal., 2020, 10, 9634–9648 CrossRef.
  25. Y. Wang, H. Su, Y. He, L. Li, S. Zhu, H. Shen, P. Xie, X. Fu, G. Zhou, C. Feng, D. Zhao, F. Xiao, X. Zhu, Y. Zeng, M. Shao, S. Chen, G. Wu, J. Zeng and C. Wang, Chem. Rev., 2020, 120, 12217–12314 CrossRef CAS.
  26. R. T. Hannagan, G. Giannakakis, M. Flytzani-Stephanopoulos and E. C. H. Sykes, Chem. Rev., 2020, 120, 12044–12088 CrossRef CAS.
  27. T. Zhang, A. G. Walsh, J. Yu and P. Zhang, Chem. Soc. Rev., 2021, 50, 569–588 RSC.
  28. X. Wei, X. Luo, N. Wu, W. Gu, Y. Lin and C. Zhu, Nano Energy, 2021, 84, 105817 CrossRef CAS.
  29. B. Qiao, A. Wang, X. Yang, L. F. Allard, Z. Jiang, Y. Cui, J. Liu, J. Li and T. Zhang, Nat. Chem., 2011, 3, 634–641 CrossRef CAS PubMed.
  30. W. Y. Zhang, Y. G. Chao, W. S. Zhang, J. H. Zhou, F. Lv, K. Wang, F. X. Lin, H. Luo, J. Li, M. P. Tong, E. K. Wang and S. J. Guo, Adv. Mater., 2021, 33, 2102576 CrossRef CAS.
  31. J. Liu, D. Cao, H. Xu and D. Cheng, Nano Sel., 2021, 2, 251–270 CrossRef.
  32. H. Yan, Y. Lin, H. Wu, W. Zhang, Z. Sun, H. Cheng, W. Liu, C. Wang, J. Li, X. Huang, T. Yao, J. Yang, S. Wei and J. Lu, Nat. Commun., 2017, 8, 1070 CrossRef.
  33. S. Tian, Q. Fu, W. Chen, Q. Feng, Z. Chen, J. Zhang, W.-C. Cheong, R. Yu, L. Gu, J. Dong, J. Luo, C. Chen, Q. Peng, C. Draxl, D. Wang and Y. Li, Nat. Commun., 2018, 9, 2353 CrossRef PubMed.
  34. D. Cao, J. Wang, H. Xu and D. Cheng, Small, 2021, 17, 2101163 CrossRef CAS.
  35. J. H. Kim, D. Shin, J. Lee, D. S. Baek, T. J. Shin, Y.-T. Kim, H. Y. Jeong, J. H. Kwak, H. Kim and S. H. Joo, ACS Nano, 2020, 14, 1990–2001 CrossRef CAS PubMed.
  36. I. H. Kim, J. Lim and S. O. Kim, Acc. Mater. Res., 2021, 2, 394–406 CrossRef CAS.
  37. Z. Qiao, C. Wang, C. Li, Y. Zeng, S. Hwang, B. Li, S. Karakalos, J. Park, A. J. Kropf, E. C. Wegener, Q. Gong, H. Xu, G. Wang, D. J. Myers, J. Xie, J. S. Spendelow and G. Wu, Energy Environ. Sci., 2021, 14, 4948–4960 RSC.
  38. Y. He, Y. Li, J. Zhang, S. Wang, D. Huang, G. Yang, X. Yi, H. Lin, X. Han, W. Hu, Y. Deng and J. Ye, Nano Energy, 2020, 77, 105010 CrossRef CAS.
  39. X. Wang, X. Sang, C.-L. Dong, S. Yao, L. Shuai, J. Lu, B. Yang, Z. Li, L. Lei, M. Qiu, L. Dai and Y. Hou, Angew. Chem., Int. Ed., 2021, 60, 11959–11965 CrossRef CAS PubMed.
  40. C. Shi, Y. Liu, R. Qi, J. Li, J. Zhu, R. Yu, S. Li, X. Hong, J. Wu, S. Xi, L. Zhou and L. Mai, Nano Energy, 2021, 87, 106153 CrossRef CAS.
  41. Y. Ma, T. Yang, H. Zou, W. Zang, Z. Kou, L. Mao, Y. Feng, L. Shen, S. J. Pennycook, L. Duan, X. Li and J. Wang, Adv. Mater., 2020, 32, 2002177 CrossRef CAS PubMed.
  42. X. Cui, L. Gao, S. Lei, S. Liang, J. Zhang, C. D. Sewell, W. Xue, Q. Liu, Z. Lin and Y. Yang, Adv. Funct. Mater., 2021, 31, 2009197 CrossRef CAS.
  43. Y. Zhang, J. Li, J. Cai, L. Yang, T. Zhang, J. Lin, X. Wang, C. Chen, L. Zheng, C.-t. Au, B. Yang and L. Jiang, ACS Catal., 2021, 11, 4430–4440 CrossRef CAS.
  44. J. Liu, Z. Jin, X. Wang, J. J. Ge, C. P. Liu and W. Xing, Sci. China: Chem., 2019, 62, 669–683 CrossRef CAS.
  45. S. Paul, Y.-L. Kao, L. Ni, R. Ehnert, I. Herrmann-Geppert, R. van de Krol, R. W. Stark, W. Jaegermann, U. I. Kramm and P. Bogdanoff, ACS Catal., 2021, 11, 5850–5864 CrossRef CAS.
  46. N. K. Wagh, D.-H. Kim, S.-H. Kim, S. S. Shinde and J.-H. Lee, ACS Nano, 2021, 15, 14683–14696 CrossRef CAS.
  47. X. Ao, W. Zhang, Z. Li, J.-G. Li, L. Soule, X. Huang, W.-H. Chiang, H. M. Chen, C. Wang, M. Liu and X. C. Zeng, ACS Nano, 2019, 13, 11853–11862 CrossRef CAS PubMed.
  48. M. Liu, J. Lee, T.-C. Yang, F. Zheng, J. Zhao, C.-M. Yang and L. Y. S. Lee, Small Methods, 2021, 5, 2001165 CrossRef CAS.
  49. N. Cheng, S. Stambula, D. Wang, M. N. Banis, J. Liu, A. Riese, B. Xiao, R. Li, T.-K. Sham, L.-M. Liu, G. A. Botton and X. Sun, Nat. Commun., 2016, 7, 13638 CrossRef CAS PubMed.
  50. E. Guan, J. Ciston, S. R. Bare, R. C. Runnebaum, A. Katz, A. Kulkarni, C. X. Kronawitter and B. C. Gates, ACS Catal., 2020, 10, 9065–9085 CrossRef CAS.
  51. Y. Yang, Y. Qian, H. Li, Z. Zhang, Y. Mu, D. Do, B. Zhou, J. Dong, W. Yan, Y. Qin, L. Fang, R. Feng, J. Zhou, P. Zhang, J. Dong, G. Yu, Y. Liu, X. Zhang and X. Fan, Sci. Adv., 2020, 6, eaba6586 CrossRef CAS PubMed.
  52. J. Gu, M. Z. Jian, L. Huang, Z. H. Sun, A. W. Li, Y. Pan, J. Z. Yang, W. Wen, W. Zhou, Y. Lin, H. J. Wang, X. Y. Liu, L. L. Wang, X. X. Shi, X. H. Huang, L. N. Cao, S. Chen, X. S. Zheng, H. B. Pan, J. F. Zhu, S. Q. Wei, W. X. Li and J. L. Lu, Nat. Nanotechnol., 2021, 16, 1141–1149 CrossRef CAS.
  53. R. Qin, K. Liu, Q. Wu and N. Zheng, Chem. Rev., 2020, 120, 11810–11899 CrossRef CAS.
  54. Y. Ying, X. Luo, J. Qiao and H. Huang, Adv. Funct. Mater., 2021, 31, 2007423 CrossRef CAS.
  55. Z. Y. Lu, B. F. Wang, Y. F. Hu, W. Liu, Y. F. Zhao, R. O. Yang, Z. P. Li, J. Luo, B. Chi, Z. Jiang, M. S. Li, S. C. Mu, S. J. Liao, J. J. Zhang and X. L. Sun, Angew. Chem., Int. Ed., 2019, 58, 2622–2626 CrossRef CAS.
  56. Z. P. Zeng, L. Y. Gan, H. B. Yang, X. Z. Su, J. J. Gao, W. Liu, H. Matsumoto, J. Gong, J. M. Zhang, W. Z. Cai, Z. Y. Zhang, Y. B. Yan, B. Liu and P. Chen, Nat. Commun., 2021, 12, 4088 CrossRef CAS.
  57. A. Han, X. J. Wang, K. Tang, Z. D. Zhang, C. L. Ye, K. J. Kong, H. B. Hu, L. R. Zheng, P. Jiang, C. X. Zhao, Q. Zhang, D. S. Wang and Y. D. Li, Angew. Chem., Int. Ed., 2021, 60, 19262–19271 CrossRef CAS PubMed.
  58. M. M. Tong, F. F. Sun, Y. Xie, Y. Wang, Y. Q. Yang, C. G. Tian, L. Wang and H. G. Fu, Angew. Chem., Int. Ed., 2021, 60, 14005–14012 CrossRef CAS.
  59. Y. S. Wei, L. M. Sun, M. Wang, J. H. Hong, L. L. Zou, H. W. Liu, Y. Wang, M. Zhang, Z. Liu, Y. W. Li, S. Horike, K. Suenaga and Q. Xu, Angew. Chem., Int. Ed., 2020, 59, 16013–16022 CrossRef CAS PubMed.
  60. J. Mao, J. Yin, J. Pei, D. Wang and Y. Li, Nano Today, 2020, 34, 100917 CrossRef CAS.
  61. J. Han, J. Lu, M. Wang, Y. Wang and F. Wang, Chin. J. Chem., 2019, 37, 977–988 CrossRef CAS.
  62. Y. Pan, Y. Qian, X. Zheng, S.-Q. Chu, Y. Yang, C. Ding, X. Wang, S.-H. Yu and H.-L. Jiang, Natl. Sci. Rev., 2020, 8, nwaa224 CrossRef.
  63. M. Ouyang, K. G. Papanikolaou, A. Boubnov, A. S. Hoffman, G. Giannakakis, S. R. Bare, M. Stamatakis, M. Flytzani-Stephanopoulos and E. C. H. Sykes, Nat. Commun., 2021, 12, 1549 CrossRef CAS PubMed.
  64. Y. Wang, L. Cao, N. J. Libretto, X. Li, C. Li, Y. Wan, C. He, J. Lee, J. Gregg, H. Zong, D. Su, J. T. Miller, T. Mueller and C. Wang, J. Am. Chem. Soc., 2019, 141, 16635–16642 CrossRef CAS PubMed.
  65. Y. Zhao, X. Liu, D. Chen, Z. Liu, Q. Yang, X. Lin, M. Peng, P. Liu and Y. Tan, Sci. China Mater., 2021, 64, 1900–1909 CrossRef CAS.
  66. Q. L. Wu, M. Luo, J. H. Han, W. Peng, Y. Zhao, D. C. Chen, M. Peng, J. Liu, F. M. F. de Groot and Y. W. Tan, ACS Energy Lett., 2020, 5, 192–199 CrossRef CAS.
  67. S. Luo, L. Zhang, Y. Liao, L. Li, Q. Yang, X. Wu, X. Wu, D. He, C. He, W. Chen, Q. Wu, M. Li, E. J. M. Hensen and Z. Quan, Adv. Mater., 2021, 33, 2008508 CrossRef CAS.
  68. J. Bok, S. Y. Lee, B.-H. Lee, C. Kim, D. L. T. Nguyen, J. W. Kim, E. Jung, C. W. Lee, Y. Jung, H. S. Lee, J. Kim, K. Lee, W. Ko, Y. S. Kim, S.-P. Cho, J. S. Yoo, T. Hyeon and Y. J. Hwang, J. Am. Chem. Soc., 2021, 143, 5386–5395 CrossRef CAS.
  69. P. Tieu, X. Yan, M. Xu, P. Christopher and X. Pan, Small, 2021, 17, 2006482 CrossRef CAS.
  70. O. L. Krivanek, T. C. Lovejoy, N. Dellby, T. Aoki, R. W. Carpenter, P. Rez, E. Soignard, J. Zhu, P. E. Batson, M. J. Lagos, R. F. Egerton and P. A. Crozier, Nature, 2014, 514, 209–212 CrossRef CAS PubMed.
  71. R. Ishikawa, E. Okunishi, H. Sawada, Y. Kondo, F. Hosokawa and E. Abe, Nat. Mater., 2011, 10, 278–281 CrossRef CAS PubMed.
  72. S. Lee, X.-G. Sun, A. A. Lubimtsev, X. Gao, P. Ganesh, T. Z. Ward, G. Eres, M. F. Chisholm, S. Dai and H. N. Lee, Nano Lett., 2017, 17, 2229–2233 CrossRef CAS.
  73. B. Wei, Z. Fu, D. Legut, T. C. Germann, S. Du, H. Zhang, J. S. Francisco and R. Zhang, Adv. Mater., 2021, 33, 2102595 CrossRef CAS.
  74. C. H. M. van Oversteeg, H. Q. Doan, F. M. F. de Groot and T. Cuk, Chem. Soc. Rev., 2017, 46, 102–125 RSC.
  75. F. Maurer, J. Jelic, J. Wang, A. Gänzler, P. Dolcet, C. Wöll, Y. Wang, F. Studt, M. Casapu and J.-D. Grunwaldt, Nat. Catal., 2020, 3, 824–833 CrossRef CAS.
  76. R. Jin, M. Peng, A. Li, Y. Deng, Z. Jia, F. Huang, Y. Ling, F. Yang, H. Fu, J. Xie, X. Han, D. Xiao, Z. Jiang, H. Liu and D. Ma, J. Am. Chem. Soc., 2019, 141, 18921–18925 CrossRef CAS.
  77. J. C. Matsubu, V. N. Yang and P. Christopher, J. Am. Chem. Soc., 2015, 137, 3076–3084 CrossRef CAS PubMed.
  78. H. Wang, T. K. J. Köster, N. M. Trease, J. Ségalini, P.-L. Taberna, P. Simon, Y. Gogotsi and C. P. Grey, J. Am. Chem. Soc., 2011, 133, 19270–19273 CrossRef CAS.
  79. Y. Qian, Y. Liu, Y. Zhao, X. Zhang and G. Yu, EcoMat, 2020, 2, e12014 CrossRef CAS.
  80. Z. He, K. He, A. W. Robertson, A. I. Kirkland, D. Kim, J. Ihm, E. Yoon, G.-D. Lee and J. H. Warner, Nano Lett., 2014, 14, 3766–3772 CrossRef CAS.
  81. X. Jiao, Z. Chen, X. Li, Y. Sun, S. Gao, W. Yan, C. Wang, Q. Zhang, Y. Lin, Y. Luo and Y. Xie, J. Am. Chem. Soc., 2017, 139, 7586–7594 CrossRef CAS PubMed.
  82. C. Ye, N. Zhang, D. Wang and Y. Li, Chem. Commun., 2020, 56, 7687–7697 RSC.
  83. A. K. Datye, J. Catal., 2003, 216, 144–154 CrossRef CAS.
  84. J. Ge, D. Zhang, Y. Qin, T. Dou, M. Jiang, F. Zhang and X. Lei, Appl. Catal., B, 2021, 298, 120557 CrossRef CAS.
  85. G. Sun, Z.-J. Zhao, R. Mu, S. Zha, L. Li, S. Chen, K. Zang, J. Luo, Z. Li, S. C. Purdy, A. J. Kropf, J. T. Miller, L. Zeng and J. Gong, Nat. Commun., 2018, 9, 4454 CrossRef.
  86. W. Karim, C. Spreafico, A. Kleibert, J. Gobrecht, J. VandeVondele, Y. Ekinci and J. A. van Bokhoven, Nature, 2017, 541, 68–71 CrossRef CAS PubMed.
  87. A. I. Frenkel, Chem. Soc. Rev., 2012, 41, 8163–8178 RSC.
  88. J. C. Li, Y. Meng, L. L. Zhang, G. Z. Li, Z. C. Shi, P. X. Hou, C. Liu, H. M. Cheng and M. H. Shao, Adv. Funct. Mater., 2021, 31, 2103360 CrossRef CAS.
  89. H. Wang, Q. Luo, W. Liu, Y. Lin, Q. Guan, X. Zheng, H. Pan, J. Zhu, Z. Sun, S. Wei, J. Yang and J. Lu, Nat. Commun., 2019, 10, 4998 CrossRef PubMed.
  90. C. Wu, X. Zhang, Z. Xia, M. Shu, H. Li, X. Xu, R. Si, A. I. Rykov, J. Wang, S. Yu, S. Wang and G. Sun, J. Mater. Chem. A, 2019, 7, 14001–14010 RSC.
  91. J. Wang, Z. Huang, W. Liu, C. Chang, H. Tang, Z. Li, W. Chen, C. Jia, T. Yao, S. Wei, Y. Wu and Y. Li, J. Am. Chem. Soc., 2017, 139, 17281–17284 CrossRef CAS PubMed.
  92. D. M. Kolb and F. C. Simeone, Electrochim. Acta, 2005, 50, 2989–2996 CrossRef CAS.
  93. J. Schnaidt, S. Beckord, A. K. Engstfeld, J. Klein, S. Brimaud and R. J. Behm, Phys. Chem. Chem. Phys., 2017, 19, 4166–4178 RSC.
  94. S. Zhu, T. Li, W.-B. Cai and M. Shao, ACS Energy Lett., 2019, 4, 682–689 CrossRef CAS.
  95. A. Vizintin, J. Bitenc, A. Kopač Lautar, K. Pirnat, J. Grdadolnik, J. Stare, A. Randon-Vitanova and R. Dominko, Nat. Commun., 2018, 9, 661 CrossRef PubMed.
  96. R. Alcántara, G. F. Ortiz, P. Lavela, J. L. Tirado, R. Stoyanova and E. Zhecheva, Chem. Mater., 2006, 18, 2293–2301 CrossRef.
  97. X. Zheng, P. Li, S. Dou, W. Sun, H. Pan, D. Wang and Y. Li, Energy Environ. Sci., 2021, 14, 2809–2858 RSC.
  98. Z. W. Seh, J. Kibsgaard, C. F. Dickens, I. Chorkendorff, J. K. Nørskov and T. F. Jaramillo, Science, 2017, 355, eaad4998 CrossRef PubMed.
  99. S. Chu and A. Majumdar, Nature, 2012, 488, 294–303 CrossRef CAS PubMed.
  100. M. Shao, Q. Chang, J.-P. Dodelet and R. Chenitz, Chem. Rev., 2016, 116, 3594–3657 CrossRef CAS PubMed.
  101. B. Lu, Q. Liu and S. Chen, ACS Catal., 2020, 10, 7584–7618 CrossRef CAS.
  102. X. Li, L. Liu, X. Ren, J. Gao, Y. Huang and B. Liu, Sci. Adv., 2020, 6, eabb6833 CrossRef CAS PubMed.
  103. X. Li, Y. Zeng, C.-W. Tung, Y.-R. Lu, S. Baskaran, S.-F. Hung, S. Wang, C.-Q. Xu, J. Wang, T.-S. Chan, H. M. Chen, J. Jiang, Q. Yu, Y. Huang, J. Li, T. Zhang and B. Liu, ACS Catal., 2021, 11, 7292–7301 CrossRef CAS.
  104. Z. Zhang, C. Feng, X. Li, C. Liu, D. Wang, R. Si, J. Yang, S. Zhou and J. Zeng, Nano Lett., 2021, 21, 4795–4801 CrossRef CAS PubMed.
  105. H. Su, W. Zhou, W. Zhou, Y. Li, L. Zheng, H. Zhang, M. Liu, X. Zhang, X. Sun, Y. Xu, F. Hu, J. Zhang, T. Hu, Q. Liu and S. Wei, Nat. Commun., 2021, 12, 6118 CrossRef CAS PubMed.
  106. X. Guo, J. Gu, S. Lin, S. Zhang, Z. Chen and S. Huang, J. Am. Chem. Soc., 2020, 142, 5709–5721 CrossRef CAS PubMed.
  107. L. L. Han, Z. H. Ren, P. F. Ou, H. Cheng, N. Rui, L. L. Lin, X. J. Liu, L. C. Zhuo, J. Song, J. Q. Sun, J. Luo and H. L. L. Xin, Angew. Chem., Int. Ed., 2021, 60, 345–350 CrossRef CAS PubMed.
  108. M. B. Ross, P. De Luna, Y. Li, C.-T. Dinh, D. Kim, P. Yang and E. H. Sargent, Nat. Catal., 2019, 2, 648–658 CrossRef CAS.
  109. R. Daiyan, W. H. Saputera, H. Masood, J. Leverett, X. Lu and R. Amal, Adv. Energy Mater., 2020, 10, 1902106 CrossRef CAS.
  110. S. Zhang, Q. Fan, R. Xia and T. J. Meyer, Acc. Chem. Res., 2020, 53, 255–264 CrossRef CAS PubMed.
  111. D. Raciti and C. Wang, ACS Energy Lett., 2018, 3, 1545–1556 CrossRef CAS.
  112. Y. Wang, J. Liu, Y. Wang, A. M. Al-Enizi and G. Zheng, Small, 2017, 13, 1701809 CrossRef PubMed.
  113. B. Zhang, B. Zhang, Y. Jiang, T. Ma, H. Pan and W. Sun, Small, 2021, 17, 2101443 CrossRef CAS PubMed.
  114. F. Li, D. Chen, L.-H. Zhang, J. Du, H. Wang, J. Guo, J. Zhan and F. Yu, Angew. Chem., Int. Ed., 2021, 60, 24022–24027 CrossRef PubMed.
  115. M. M. Feng, X. M. Wu, H. Y. Cheng, Z. H. Fan, X. C. Li, F. J. Cui, S. Fan, Y. Dai, G. P. Lei and G. H. He, J. Mater. Chem. A, 2021, 9, 23817–23827 RSC.
  116. T. Ding, X. K. Liu, Z. N. Tao, T. Y. Liu, T. Chen, W. Zhang, X. Y. Shen, D. Liu, S. C. Wang, B. B. Pang, D. Wu, L. L. Cao, L. Wang, T. Liu, Y. F. Li, H. T. Sheng, M. Z. Zhu and T. Yao, J. Am. Chem. Soc., 2021, 143, 11317–11324 CrossRef CAS PubMed.
  117. N. Q. Zhang, X. X. Zhang, Y. K. Kang, C. L. Ye, R. Jin, H. Yan, R. Lin, J. R. Yang, Q. Xu, Y. Wang, Q. H. Zhang, L. Gu, L. C. Liu, W. Y. Song, J. Liu, D. S. Wang and Y. D. Li, Angew. Chem., Int. Ed., 2021, 60, 13388–13393 CrossRef CAS PubMed.
  118. W. J. Zhu, L. Zhang, S. H. Liu, A. Li, X. T. Yuan, C. L. Hu, G. Zhang, W. Y. Deng, K. T. Zang, J. Luo, Y. M. Zhu, M. Gu, Z. J. Zhao and J. L. Gong, Angew. Chem., Int. Ed., 2020, 59, 12664–12668 CrossRef CAS PubMed.
  119. M.-J. Cheng, E. L. Clark, H. H. Pham, A. T. Bell and M. Head-Gordon, ACS Catal., 2016, 6, 7769–7777 CrossRef CAS.
  120. H. Xie, Y. Y. Wan, X. M. Wang, J. S. Liang, G. Lu, T. Y. Wang, G. L. Chai, N. M. Adli, C. Priest, Y. H. Huang, G. Wu and Q. Li, Appl. Catal., B, 2021, 289, 119783 CrossRef CAS.
  121. H. Zhang, S. Hwang, M. Wang, Z. Feng, S. Karakalos, L. Luo, Z. Qiao, X. Xie, C. Wang, D. Su, Y. Shao and G. Wu, J. Am. Chem. Soc., 2017, 139, 14143–14149 CrossRef CAS PubMed.
  122. Y. Han, Y.-G. Wang, W. Chen, R. Xu, L. Zheng, J. Zhang, J. Luo, R.-A. Shen, Y. Zhu, W.-C. Cheong, C. Chen, Q. Peng, D. Wang and Y. Li, J. Am. Chem. Soc., 2017, 139, 17269–17272 CrossRef CAS PubMed.
  123. W. Xie, Y. Song, S. Li, J. Li, Y. Yang, W. Liu, M. Shao and M. Wei, Adv. Funct. Mater., 2019, 29, 1906477 CrossRef CAS.
  124. Z. Wang, C. Zhu, H. Tan, J. Liu, L. Xu, Y. Zhang, Y. Liu, X. Zou, Z. Liu and X. Lu, Adv. Funct. Mater., 2021, 31, 2104735 CrossRef CAS.
  125. R. Gao, J. Wang, Z.-F. Huang, R. Zhang, W. Wang, L. Pan, J. Zhang, W. Zhu, X. Zhang, C. Shi, J. Lim and J.-J. Zou, Nat. Energy, 2021, 6, 614–623 CrossRef CAS.
  126. Z. Zhu, H. Yin, Y. Wang, C.-H. Chuang, L. Xing, M. Dong, Y.-R. Lu, G. Casillas-Garcia, Y. Zheng, S. Chen, Y. Dou, P. Liu, Q. Cheng and H. Zhao, Adv. Mater., 2020, 32, 2004670 CrossRef CAS PubMed.
  127. L. Zhang, H. Liu, S. Liu, M. Norouzi Banis, Z. Song, J. Li, L. Yang, M. Markiewicz, Y. Zhao, R. Li, M. Zheng, S. Ye, Z.-J. Zhao, G. A. Botton and X. Sun, ACS Catal., 2019, 9, 9350–9358 CrossRef CAS.
  128. G. Zhao, K. Rui, S. X. Dou and W. Sun, Adv. Funct. Mater., 2018, 28, 1803291 CrossRef.
  129. H. Jin, X. Liu, S. Chen, A. Vasileff, L. Li, Y. Jiao, L. Song, Y. Zheng and S.-Z. Qiao, ACS Energy Lett., 2019, 4, 805–810 CrossRef CAS.
  130. A. A. Peterson and J. K. Nørskov, J. Phys. Chem. Lett., 2012, 3, 251–258 CrossRef CAS.
  131. S. Ye, F. Luo, Q. Zhang, P. Zhang, T. Xu, Q. Wang, D. He, L. Guo, Y. Zhang, C. He, X. Ouyang, M. Gu, J. Liu and X. Sun, Energy Environ. Sci., 2019, 12, 1000–1007 RSC.
  132. K. Jiang, B. Liu, M. Luo, S. Ning, M. Peng, Y. Zhao, Y.-R. Lu, T.-S. Chan, F. M. F. de Groot and Y. Tan, Nat. Commun., 2019, 10, 1743 CrossRef PubMed.
  133. J. Yu, J. Li, C.-Y. Xu, Q. Liu, J. Liu, R. Chen, J. Zhu, R. Li and J. Wang, Carbon, 2021, 185, 96–104 CrossRef CAS.
  134. P. P. Su, W. Pei, X. W. Wang, Y. F. Ma, Q. K. Jiang, J. Liang, S. Zhou, J. J. Zhao, J. Liu and G. Q. Lu, Angew. Chem., Int. Ed., 2021, 60, 16044–16050 CrossRef CAS PubMed.
  135. C.-H. Chen, D. Wu, Z. Li, R. Zhang, C.-G. Kuai, X.-R. Zhao, C.-K. Dong, S.-Z. Qiao, H. Liu and X.-W. Du, Adv. Energy Mater., 2019, 9, 1803913 CrossRef.
  136. N.-T. Suen, S.-F. Hung, Q. Quan, N. Zhang, Y.-J. Xu and H. M. Chen, Chem. Soc. Rev., 2017, 46, 337–365 RSC.
  137. M. Tahir, L. Pan, F. Idrees, X. Zhang, L. Wang, J.-J. Zou and Z. L. Wang, Nano Energy, 2017, 37, 136–157 CrossRef CAS.
  138. L. Bai, C.-S. Hsu, D. T. L. Alexander, H. M. Chen and X. Hu, J. Am. Chem. Soc., 2019, 141, 14190–14199 CrossRef CAS PubMed.
  139. Y. C. Yao, S. L. Hu, W. X. Chen, Z. Q. Huang, W. C. Wei, T. Yao, R. R. Liu, K. T. Zang, X. Q. Wang, G. Wu, W. J. Yuan, T. W. Yuan, B. Q. Zhu, W. Liu, Z. J. Li, D. S. He, Z. G. Xue, Y. Wang, X. S. Zheng, J. C. Dong, C. R. Chang, Y. X. Chen, X. Hong, J. Luo, S. Q. Wei, W. X. Li, P. Strasser, Y. E. Wu and Y. D. Li, Nat. Catal., 2019, 2, 304–313 CrossRef CAS.
  140. H. Su, L. Chen, Y. Chen, R. Si, Y. Wu, X. Wu, Z. Geng, W. Zhang and J. Zeng, Angew. Chem., Int. Ed., 2020, 59, 20411–20416 CrossRef CAS PubMed.
  141. G.-F. Chen, S. Ren, L. Zhang, H. Cheng, Y. Luo, K. Zhu, L.-X. Ding and H. Wang, Small Methods, 2019, 3, 1800337 CrossRef.
  142. G. Qing, R. Ghazfar, S. T. Jackowski, F. Habibzadeh, M. M. Ashtiani, C.-P. Chen, M. R. Smith and T. W. Hamann, Chem. Rev., 2020, 120, 5437–5516 CrossRef CAS PubMed.
  143. X. Guo, H. Du, F. Qu and J. Li, J. Mater. Chem. A, 2019, 7, 3531–3543 RSC.
  144. Y. Li, J. Li, J. Huang, J. Chen, Y. Kong, B. Yang, Z. Li, L. Lei, G. Chai, Z. Wen, L. Dai and Y. Hou, Angew. Chem., Int. Ed., 2021, 60, 9078–9085 CrossRef CAS PubMed.
  145. S. T. Li, A. V. Nagarajan, D. R. Alfonso, M. K. Sun, D. R. Kauffman, G. Mpourmpakis and R. C. Jin, Angew. Chem. Int. Ed., 2021, 60, 6351–6356 CrossRef CAS PubMed.
  146. Q. He, D. Liu, J. H. Lee, Y. Liu, Z. Xie, S. Hwang, S. Kattel, L. Song and J. G. Chen, Angew. Chem. Int. Ed., 2020, 59, 3033–3037 CrossRef CAS PubMed.
  147. W. Ren, X. Tan, W. Yang, C. Jia, S. Xu, K. Wang, S. C. Smith and C. Zhao, Angew. Chem. Int. Ed., 2019, 58, 2622–2626 CrossRef PubMed.
  148. M. Zhang, Z. Zhang, Z. Zhao, H. Huang, D. H. Anjum, D. Wang, J.-h. He and K.-W. Huang, ACS Catal., 2021, 11, 11103–11108 CrossRef CAS.
  149. X. Wei, S. Song, N. Wu, X. Luo, L. Zheng, L. Jiao, H. Wang, Q. Fang, L. Hu, W. Gu, W. Song and C. Zhu, Nano Energy, 2021, 84, 105840 CrossRef CAS.
  150. B. Hu, A. Huang, X. Zhang, Z. Chen, R. Tu, W. Zhu, Z. Zhuang, C. Chen, Q. Peng and Y. Li, Nano Res., 2021, 14, 3482–3488 CrossRef CAS.
  151. M. Xiao, H. Zhang, Y. Chen, J. Zhu, L. Gao, Z. Jin, J. Ge, Z. Jiang, S. Chen, C. Liu and W. Xing, Nano Energy, 2018, 46, 396–403 CrossRef CAS.
  152. R. Zhao, Z. B. Liang, S. Gao, C. Yang, B. J. Zhu, J. L. Zhao, C. Qu, R. Q. Zou and Q. Xu, Angew. Chem. Int. Ed., 2019, 58, 1975–1979 CrossRef CAS PubMed.
  153. J. S. Jirkovský, I. Panas, E. Ahlberg, M. Halasa, S. Romani and D. J. Schiffrin, J. Am. Chem. Soc., 2011, 133, 19432–19441 CrossRef PubMed.
  154. J. J. Gao, P. Du, Q. H. Zhang, X. Shen, F. K. Chiang, Y. R. Wen, X. Lin, X. J. Liu and H. J. Qiu, Electrochim. Acta, 2019, 297, 155–162 CrossRef CAS.
  155. T. He, A. R. Puente Santiago and A. Du, J. Catal., 2020, 388, 77–83 CrossRef CAS.

This journal is © The Royal Society of Chemistry 2022
Click here to see how this site uses Cookies. View our privacy policy here.