Electrocatalytic systems for NOx upgrading

Shunhan Jia ab, Xiaofu Sun *ab and Buxing Han *abc
aBeijing National Laboratory for Molecular Sciences, CAS Laboratory of Colloid and Interface and Thermodynamics, CAS Research/Education Center for Excellence in Molecular Sciences, Center for Carbon Neutral Chemistry, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China. E-mail: sunxiaofu@iccas.ac.cn; hanbx@iccas.ac.cn
bSchool of Chemical Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
cShanghai Key Laboratory of Green Chemistry and Chemical Processes, State Key Laboratory of Petroleum Molecular & Process Engineering, School of Chemistry and Molecular Engineering, East China Normal University, Shanghai 200062, China

Received 29th October 2024 , Accepted 10th December 2024

First published on 11th December 2024


Abstract

Chemical manufacturing utilizing renewable resources and energy presents a promising avenue toward sustainability and carbon neutrality. Electrocatalytic upgrading of nitrogen oxides (NOx) into nitrogenous chemicals is a potential strategy for synthesizing chemicals and mitigating NOx pollution. However, this approach is currently hindered by low selectivity and efficiency, limited reaction pathways, and economic challenges, primarily due to the development of suboptimal electrocatalytic systems for NOx upgrading. In this review, we focus on electrocatalytic systems for NOx upgrading and discuss newly developed components, including catalysts, solvents, electrolysers, and upstream/downstream processes. These advancements enable recent developments in NOx upgrading reactions that yield various products, including green ammonia (NH3), dinitrogen (N2), nitrogenous chemicals beyond NH3 and N2 (e.g., hydroxylamine and hydrazine), and organonitrogen compunds. Additionally, we provide an outlook to highlight future directions in the emerging field of novel electrocatalytic systems for NOx upgrading.


image file: d4cc05762g-p1.tif

Shunhan Jia

Shunhan Jia received his BS in Chemistry from Nankai University in 2021. He then joined Institute of Chemistry, Chinese Academy of Sciences (CAS) to pursue his PhD under the supervision of Prof. Buxing Han and Prof. Xiaofu Sun. His research interest now focuses on green chemistry and electrocatalytic upgrading of NOx.

image file: d4cc05762g-p2.tif

Xiaofu Sun

Xiaofu Sun received his BS in Chemistry from Nankai University in 2011 and MS degree in physical chemistry from Renmin University of China in 2014. He earned his PhD degree at Institute of Chemistry, Chinese Academy of Sciences (CAS) in 2017, and did postdoctoral research at Nanyang Technological University. He has been a professor at the Institute of Chemistry, CAS, since 2019. His current research interest covers utilization and conversion of CO2/NOx, applications of green solvents (e.g. H2O, ionic liquid), and design and synthesis of novel catalysts and catalytic systems.

image file: d4cc05762g-p3.tif

Buxing Han

Buxing Han received his PhD degree at Institute of Chemistry, Chinese Academy of Sciences (CAS) in 1988, and did postdoctoral research from 1989 to 1991 at the University of Saskatchewan, Canada. He has been a professor at the Institute of Chemistry, CAS, since 1993. He is an Academician of CAS and Fellow of Royal Society of Chemistry, a titular member of Organic and Biomolecular Chemistry Division, IUPAC, and was the Chairman of the IUPAC Subcommittee on Green Chemistry from 2008 to 2012. He works in the interdisciplinary area of Physical Chemistry and Green Chemistry. His research interests include properties of green solvent systems and applications of green solvents in chemical reactions and material science.


1. Introduction

Manufacturing chemicals, fuels, and functional materials from renewable chemical sources and energy represents a sustainable approach to meet the increasing demands of society.1–5 Nitrogen oxides (NOx)—a group of molecules and ions containing nitrogen and oxygen, such as NO3, NO2, and NO—pose significant challenges to the global nitrogen cycle. The introduction of NOx from fossil fuel combustion and wastewater discharge is harmful to the environment, biodiversity, and public health. Currently, industries can mitigate NOx pollution by degrading these compounds into dinitrogen (N2) through denitrification processes.6 However, there is an urgent need for innovative NOx upgrading technologies to contribute to sustainability and carbon neutrality goals, as existing methods do not fully meet demand.7,8 Upgrading NOx into nitrogenous chemicals using electrocatalytic systems offers a viable solution for reducing NOx pollution while producing valuable chemicals, fuels, and functional materials.9–11

Electrocatalytic upgrading of NOx is inherently complex, involving multiple proton-coupled electron transfer (PCET) processes. For instance, in NO3 electroreduction, NO3 can be protonated and subsequently reduced upon adsorption onto the catalyst surface, yielding various nitrogenous intermediates such as *NO2, *NO, *NH2OH, etc.12 The protonation process necessitates the activation of water (H2O), which generates active hydrogen species (*H) that facilitate reduction reactions.13 NO3 can be converted into ammonia (NH3), N2, hydroxylamine (NH2OH), and other products. Both NH3 and NH2OH are significant chemical feedstocks, serving as platform molecules for synthesizing additional compounds as nitrogen sources. N2 can be released from the solution into the atmosphere without causing pollution.14 Additionally, nitrogenous intermediates have been reported to couple with carbon-based substrates, leading to the formation of organonitrogen chemicals.15,16 Current research indicates that NOx can be utilized to synthesize various organonitrogen chemicals, including amino acids, urea, amides, oximes, and amines.

Currently, electrocatalytic upgrading of NOx into various nitrogenous molecules presents challenges, including poor selectivity, low efficiency, and economic viability. Therefore, designing a novel electrocatalytic system is essential to boost NOx upgrading. As is shown in Scheme 1, electrocatalytic systems encompass the catalyst, electrolyte, solvent, electrolyser, and upstream/downstream processes. The structure of the catalyst surface significantly influences the adsorption, conversion, and desorption of intermediates.17–20 By modifying the catalyst through alloying, doping, loading, and surface modification, the performance of NOx upgrading can be improved, and product distribution can be tailored. Furthermore, solvents not only dissolve and disperse substrates and electrolytes for the mass transfer and the transport of charge carriers, in NOx upgrading, the solvent (e.g., H2O) also serves as hydrogen source by generating active hydrogen (*H). Additionally, interactions between cations in electrolytes and intermediates on the catalyst surface can further optimize reactions.21,22 Many NOx upgrading processes occur at multiphase interfaces, where substrates exist in different phases (gas, aqueous, and organic phases) and demand effective chemical conversion on solid phase catalysts.23 Consequently, the design of the electrolytic cell, particularly in constructing multiphase interfaces, is crucial for enhancing NOx upgrading. Moreover, the effective separation of products from electrolyte post reactions, along with the development of upstream/downstream processes such as substrate and energy supply, is vital for achieving economically feasible NOx upgrading pathways.


image file: d4cc05762g-s1.tif
Scheme 1 Illustration of electrocatalytic systems for NOx upgrading.

In this highlight, we focus on electrocatalytic systems for NOx upgrading. We first discuss the recent advances in developing components of NOx upgrading electrocatalytic system, including catalysts, solvents, electrolysers, and upstream/downstream processes. These innovations advance NOx upgrading, yielding a diverse range of products such as green NH3, N2, NH2OH, and other organonitrogen compounds. Additionally, we provide insights into future directions in the rapidly evolving field of innovative electrocatalytic systems for NOx upgrading.

2. Electrocatalytic system for NOx upgrading

2.1 Catalyst

In the electrocatalytic upgrading of NOx, catalysts are critical in facilitating electrochemical reactions among NOx, water, and other reactants at the electrode surface. They effectively lower the energy barrier, improve reaction kinetics, leading to the formation of desired products.24,25 The fundamental role of a catalyst in this context is to provide active sites where NOx and other reactants can adsorb and undergo reduction via electron transfer. An ideal electrocatalyst for NOx upgrading should exhibit high activity, selectivity toward desired products, stability under reaction conditions, and good conductivity to promote efficient electron transfer. Additionally, the catalysts should have a large surface area to maximize active sites and be resistant to poisoning by reaction intermediates or by-products.

Commonly used electrocatalysts for NOx upgrading include noble metals such as platinum (Pt) and palladium (Pd), transition metal oxides, non-precious metal catalysts like iron (Fe) or cobalt (Co)-based compounds, and metal-free materials. While noble metal catalysts typically offer high activity and selectivity, they are costly and prone to deactivation over time.26 In contrast, transition metal and non-precious metal catalysts provide more cost-effective alternatives but may suffer from lower selectivity or stability. Moreover, catalyst restructuring often occurs during electrocatalytic processes, which can either enhance or diminish catalytic performance.27 Investigating these reconstruction behaviours offers valuable insights into the NOx upgrading mechanism and aids in designing improved catalysts.

2.2 Electrolyte and solution

In electrocatalytic NOx upgrading, the choice of supporting electrolytes and solvents plays a pivotal role in modulating reaction conditions, influencing the efficiency and selectivity of the process. Supporting electrolytes are critical for enhancing the conductivity of the electrolyte solution, stabilizing intermediates, and facilitating charge transfer. Commonly used supporting electrolytes include essential cations like H+, Na+, and K+. These cations can significantly affect the formation, stabilization, and conversion of the intermediates, impacting the overall product distribution. For instance, the cations may alter the local electric field or modify the electrochemical double layer, influencing the key steps in NOx reduction pathway.

While the supporting electrolytes help to stabilize the system and influence reaction kinetics, they can also introduce complexity, such as unwanted ion pairing or competition between cations for active sites on the catalyst. This highlights a growing interest in electrolyte-free electrocatalysis, which could simplify the system, reduce side reactions, and potentially increase product specificity.28 However, the main challenge in achieving effective NOx upgrading under electrolyte-free conditions is the competition between the NOx-involving reactions and the HER. Without supporting electrolytes, local ionic resistance increases, reducing reaction efficiency. Additionally, lower local pH near the cathode would favour HER over the desired NOx-involving reaction. Despite recent work, such as that by Wang et al.,29 addresses this issue by using a porous solid electrolyte reactor with a cation shielding effect, electrolyte-free NOx upgrading remains in its early stages, and further research is needed to optimize performance.

In addition, H2O is the most used solvent in electrocatalytic NOx upgrading, due to its ability to dissolve substrates, support electrolyte dissociation, and crucially, provide a source of hydrogen. The role of water in hydrogen supply is particularly important, as the formation of reactive *H is often a key step in the catalytic cycle. Moderately activating water to produce *H is essential, as excessive activation leads to the undesired side reactions such as hydrogen evolution reaction (HER), which lowers the faradaic efficiency. Conversely, insufficient activation might hinder the availability of hydrogen species, limiting the reduction of NOx intermediates.

2.3 Electrolyser

Electrocatalytic NOx upgrading is typically performed in electrolytic cells, where the structure and design of the cell significantly impact reaction efficiency and scalability. One commonly used configuration is the H-type electrolytic cell, which features a diaphragm to separate the anode and cathode compartments. This separation helps prevent the oxidation of reduction products formed at the cathode by the anodic reactions. While effective for lab-scale experiments, H-type cells have limitations, including lower scalability, inefficient mass transport, and higher internal resistance due to the diaphragm, which can hinder performance for large-scale applications. To address these limitations, flow electrolysis cells have been developed.30,31 These cells allow for the continuous flow of electrolyte and gases through the cell, enhancing mass transport and making them more suitable for scaling up production. Flow cells also often incorporate gas diffusion layers (GDLs), which facilitate the efficient introduction of gaseous reactant such as NO improving the contact between the gas, electrolyte, and catalyst.32 This design is particularly advantageous for reactions involving gases, as it enables better management of reactant delivery and product removal.

Another innovative cell design is the diaphragm-free electrolytic cell, which eliminates the need for expensive membranes, reducing the complexity of the setup and lowering cell voltage. However, without a diaphragm, there is an increased risk of side reactions, such as the reoxidation of reduced NOx species at the anode. Optimizing diaphragm-free cells requires careful selection and design of catalysts that promote selective NOx reduction while minimizing undesirable side reactions.33,34 New catalytic materials that enhance selectivity are being investigated to improve the overall efficiency of these systems.

2.4 Upstream and downstream process

In electrocatalytic NOx upgrading, upstream and downstream processes play crucial roles in achieving an integrated and sustainable system. The upstream processes involve the acquisition of NOx, which can be captured from diverse sources such as exhaust gases, wastewater, or generated via biological fermentation and plasma air oxidation. In addition, coupling NOx electrocatalytic upgrading with renewable energy harvesting, such as integrating electrocatalytic devices with photovoltaic systems or advancing photocatalytic technologies, creates a more sustainable approach by utilizing green energy and renewable nitrogenous sources.30,35 Downstream processes, after the NOx conversion reaction, offer opportunities to further enhance the economic benefits of the system by generating high-value products through additional reactions or by employing separation techniques to obtain high-purity products.

As a result, catalysts, solvents, electrolytic cells, and upstream and downstream processes collectively drive the efficiency and sustainability of electrocatalytic NOx conversion. Their synergistic cooperation ensures that each step—acquiring NOx, driving the reaction with renewable energy, and refining the products—contributes to a fully integrated and optimized NOx upgrading system.

3. Upgrading of NOx to value-added chemicals

3.1 Green ammonia

Efficiently converting NOx to green NH3 not only mitigates these harmful emissions but also offers a pathway to recycle nitrogen for NH3 production. The moderate adsorption of nitrogenous intermediates on the catalyst during the reduction of NOx to NH3 is crucial for improving electrochemical performance. Recently, Lu and co-workers designed a series of Pd-based bimetallene (PdM, where M = Fe, Co, Ni, Cu) and applied them as catalysts for NO3 electroreduction to NH3.36 The ultra-thin nanosheet structure of these bimetallene facilitated the exposure of active sites. The doping of transition metals broke the electronic balance on the surface and upshifted the d-band center of Pd metallene, optimizing the adsorption of intermediates (Fig. 1(a)). Among these bimetallene, the anisotropic electronic characteristics of the transition metals led to the NO3 electroreduction activity in the order of PdCu > PdCo ≈ PdFe > PdNi > Pd. As is shown in Fig. 1(b), the PdCu bimetallene achieved an outstanding NH3 yield rate of 295 mg h−1 mgcat−1 and a faradaic efficiency (FE) of 90.9%. The proper combination of elements in PdCu bimetallene resulted in a moderate adsorption ability of *NO3 and *NO, enhanced NO activation, and reduced HER activity. The hydrogenation of NO to NOH was the rate-determining step, and PdCu had the lowest energy barrier for this step. The adsorption energies of *NO3 and *NO on PdCu were close to the optimal values (Fig. 1(c)), preventing catalyst deactivation and facilitating the hydrogenation process. In addition to the adsorption energy of nitrogenous intermediates, their adsorption configuration also has a significant impact on NOx reduction.37 For instance, through theoretical calculations, Zn was identified as a promising dopant for Cu catalysts to boost NO3 electroreduction to NH3.38 Zn-doped Cu nanosheets exhibited excellent performance, achieving a maximum NH3 FE of up to 98.4% (Fig. 1(d)). The catalyst also showed good cycling stability and maintained a high FE over a wide potential and NO3 concentration range. Zn doping modulated the adsorption strength of intermediates, enhanced nitrite conversion (Fig. 1(e)), changed the *NO adsorption configuration to bridge adsorption (Fig. 1(f) and (g)), and decreased the energy barrier, leading to the enhanced catalytic performance. Besides doping-induced adsorption configuration transformation, recent research by Zhang et al. has demonstrated that,39 on the RuIn3/C catalyst, the adsorption configuration of *NO changes under pulse electrolysis conditions compared to conventional constant-potential electrolysis, leading to enhanced NOx-to-NH3 performance.
image file: d4cc05762g-f1.tif
Fig. 1 (a) The adsorption energy of *NO3 and *NO2 and HER Gibbs free energy on Pd with different dopants. (b) NH3 FE of Pd, PdFe, PdCo, PdNi and PdCu. (c) The adsorption energy of *NO3 and NO3 reduction performance on different Pd metallene. Reproduced with permission from ref. 36. (d) NH3FE of Zn/Cu-2.3 catalyst. (e) Onset potentials and reaction constants (k1 for NO3-to-NO2 and k2 for NO2-to-NO) of different Zn–Cu catalysts. (f) In situ ATR-FTIR spectra of Zn/Cu-2.3 during NO3 reduction. (g) Illustration of the configuration of *NO on Zn/Cu-2.3. Reproduced with permission from ref. 38. (h) In situ Raman spectra for the electrochemical synthesis of Cu–S NAs. (i) NH3 FE and (j) the corresponding mechanism of Cu–S NAs and Cu NAs. Reproduced with permission from ref. 40. (k) Electrochemical performance and (l) the pathway diagram performance of NO3 reduction using different alkali metal cations. Reproduced with permission from ref. 41. (m) NH3 FE and yields of Cu plates and micron Cu. (n) Velocity field streamline for the Cu plates in a steady state. Reproduced with permission from ref. 42.

The precise activation of H2O as a hydrogen source for the reduction of NOx to NH3 urgently needs to be achieved. The Yu group demonstrated a sulphur-doped copper nanorod arrays (Cu–S NAs) electrocatalyst prepared via an electrochemical conversion strategy for NO3 reduction (Fig. 1(h)).40 An excellent FE of NH3 (98.3%) and significant decrease of FE of NO2 (1.4%) were achieved on Cu–S NAs, compared with those of counterpart catalysts as illustrated in Fig. 1(i). The enhanced selectivity of Cu–S NAs was attributed to the optimized hydrogen affinity and decreased hydrogenation energy barrier. A small amount of S doping on Cu surface could promoted the kinetics of dissociation to active hydrogen, and the optimized hydrogen affinity validly decreased the hydrogenation kinetic energy barrier of *NO, leading to an enhanced NH3 selectivity (Fig. 1(j)).

In addition to adjusting the electronic structure of the catalyst to moderate intermediates, optimization based on the electrode interface environment also contributes to NOx reduction. Yu et al. proposed an effective strategy to modulate the electrolyte microenvironment in electrical double layer (EDL) by mediating alkali metal cations in the electrolyte to enhance the electrochemical performance of NO3 reduction to NH3.41 With Cu foam used as a model catalyst, as is demonstrated in Fig. 1(k), the performance of NH3 generation in electrolytes containing different cations followed the trend of Li+ < Cs+ < Na+ < K+. In 1 mol L−1 KOH electrolyte, 99% of NO3 conversion and 98% of NH3 FE were achieved. Alkali metal cations can tune the electrostatic potential (ESP) distribution and protons transport in EDL. In the presence of K+, the ESP in EDL was more negative and the energy barrier for protons to cross EDL was lower, facilitating faster protons transport to the catalytic surface and thereby promoting the subsequent hydrogenation of intermediates (Fig. 1(i)). Recently, Lv and co-workers constructed a steady fluid field along the surface of 2D Cu plates with a uniform sheet-like morphology and nanosized thickness, exhibiting excellent electrochemical performance.42 2D Cu plates achieved a superior NH3 FE of 99%, exceptional long-term electrolysis for 120 h at 200 mA cm−2, and a record-high yield rate of 3.14 mmol cm−2 h−1 (Fig. 1(m)). In a Zn–NO3 battery system, it provided a power density of 12.09 mW cm−2 and NH3 FE of 85.4%. The steady fluid field shown in Fig. 1(n) was found to play a critical role in determining the fluid velocity field and renewal of catalytic active sites, which contributed to the high efficiency of NH3 production.

Coupling electrocatalytic systems of NOx reduction to NH3 with anodic oxidation reactions, renewable energy harvesting (integrating with photovoltaic devices or conducting photoelectrochemical catalysis) and product separation can reduce energy input and enhance product value. Recently, Hong and co-works developed a photoconductive organic network for NO3 reduction to NH3, which was formed by chemically interweaving poly(2-methoxy-5-propyloxysulfonate phenylene vinylene) (PPV) in a covalent scaffold and functionalized with a Cu catalyst.43 The resulting photoelectrode (PPV-Cu), as is shown in Fig. 2(a), exhibited excellent performance, with a photocurrent density of 8.5 mA cm−2 and a FE of NH3 at 95% under 100 mW cm−2 solar irradiation, corresponding to an external quantum efficiency of 13%. In a tandem system with a BiVO4 photoanode, the system could simultaneously convert NO3 to NH3 and oxidize H2O to O2 (Fig. 2(b)). The efficient generation of charge carriers at the interfaces between the organic electron-donating photoconductor and electron-accepting catalyst upon illumination enabled the enhanced charge separation for photoelectrochemical catalysis. In addition, Liu et al. developed a template-free strategy was to prepare two-dimensional high-entropy oxide (HEO) nanoplates with single-crystallinity and penetrated mesoporosity.44 The single-crystalline mesoporous HEO (SC-MHEO), exhibited remarkable performance in the 5-hydroxymethylfurfural oxidation reaction for efficient biomass upgrading. Additionally, with nitrate reduction as a coupling cathode reaction, SC-MHEO realized the concurrent electrosynthesis of value-added 2,5-furandicarboxylic acid and NH3 in a two-electrode cell (Fig. 2(c) and (d)).


image file: d4cc05762g-f2.tif
Fig. 2 (a) Integrated system of PPV-Cu and BiVO4 and (b) the corresponding FE of NH3 and O2 under solar irradiation. Reproduced with permission from ref. 43. (c) Two-electrode coupling system integrating NO3 reduction with biomass upgrading. (d) Electrochemical performance of the integrated system. Reproduced with permission from ref. 44. (e) Illustration of the flow cell system for NO3 reduction and (f) the comparison of electrochemical performance using H-cell and flow cell. Reproduced with permission from ref. 31. (g) Illustration of NO3 reduction in H-cell and flow cell and one-compartment cell. (h) Performance of NH3 generation in one-compartment cell. (i) Comparison of full-cell voltage using different cells. Reproduced with permission from ref. 45. (j) Current density of the (k) integrated photoelectrochemical system. (l) Isolated NH4Cl product generated from NO3 reduction. Reproduced with permission from ref. 30.

The design of electrolytic cells beyond typical H-cell is of great importance. The Jin group designed and synthesized two polynuclear cobalt-cluster-based coordination polymers (CPs), NJUZ-2 and NJUZ-3, were for efficient NO3-to-NH3 electroreduction.31 These CPs posed distinct coordination motifs with well-defined porosity, high-density catalytic sites, accessible mass transfer channels, and nanoconfined chemical environments, leading to the remarkable catalytic activities of NJUZ-2 for NO3-to-NH3. NJUZ-2 achieved an optimal FE of 98.5% and high long-term durability for NH3 production, which was attributed to the preferential adsorption of NO3 and the reduction in energy input required for the hydrogenation of *NO and *NO2 intermediates. In a flow cell (Fig. 2(e)) at an industrially relevant current density of 469.9 mA cm−2, NJUZ-2 achieved a high NH3 yield rate of up to 3370.6 mmol h−1 gcat−1, which is significantly improved compared with the performance in H-cell as is illustrated in Fig. 2(f). The Gao group presented efficient membraneless electrochemical synthesis of NH3 from NO3 using a Co–Co system, which was selected through screening for its excellent NO3 and H2O oxidation activities, along with negligible O2 reaction and NH3 oxidation (Fig. 2(g)).45 As is shown in Fig. 2(h) and (i), at 200 mA cm−2, the full-cell voltage of the membraneless system (2.5 V) was 4 V lower than that of the membrane system (6.5 V), with significant energy savings. A maximum NH3 yield rate of 1500.9 μmol cm−2 h−1 was achieved at −0.9 V with a NH3 FE of 92.6%. In addition, the pulsed process induces reversible surface reconstruction, generating and restoring active CoIII species at the working electrode and forming favourable Co3O4/CoOOH at the counter electrode, which further improved the NO3-to-NH3 conversion and hindered side reactions. Shan and co-workers developed an organic p–n junction approach for fabricating molecular photoelectrodes integrated with a CuCo catalyst to convert solar energy and NO3 into NH3, which exhibited excellent electrochemical performance.30 As is shown in Fig. 2(j), the system based-on p–n junction achieved an external quantum efficiency (EQE) of 57% and an internal quantum efficiency (IQE) of 86% for NH3 production under solar irradiation. The photogenerated electrons and holes were spatially separated at the n-type perylene diimide (PDI) and p-type poly(3,4-ethylenedioxythiophene) (PEDOT) components of the p–n junction with a quantum yield of 90%. The high-flux photogenerated electrons at PDI were rapidly transferred to the CuCo catalyst for NO3 reduction. Consequently, in a flow-cell setup coupled with a silicon solar cell and under bias-free conditions, it generated a photocurrent of 57 mA cm−2 and an EQE for NH3 production of 52% (Fig. 2(k)). The high-purity ammonium chloride (NH4Cl) product shown in Fig. 2(i) was separated from electrolyte.

3.2 Dinitrogen

The electroreduction of NOx to N2 offers a compelling approach to address nitrogen-pollution, which is a significant environmental issue. Since traditional methods for removing NOx, such as thermal-chemical treatments, face limitations including high energy consumption and operational complexity. Reduction of NOx to N2 presents an environmentally friendly alternative and offers the potential for integration with renewable energy sources.46 Recently, Wang et al. fabricated a mechanically flexible 2D MXene (Ti3C2Tx) membrane with multilayered nanofluidic channels was fabricated, which exhibited high selectivity for NO3 reduction to N2 (82.8%) with a high N2 FE of 72.6% for NO3 reduction to N2 at a very low electrical cost of 0.28 kWh m−3 (Fig. 3(a) and (b)).47 The water flowing through the MXene nanosheets facilitated the mass transfer of nitrate onto these sites and the defects on the MXene nanosheet surfaces played an important role to reduce NO3 (Fig. 3(c)). The relatively low desorption energy barrier for the release of adsorbed N2 compared to that for the adsorbed NH3 contributed to the high selectivity for N2 production. Yang and co-workers s reported a single atom alloy (SAA) catalyst, Ru1Ni, which showed remarkable performance for NO3 reduction to N2 (Fig. 3(d)), in which the electron transfer from Ni to Ru and enhanced nitrate adsorption. The promotion of NO3 activation on the Ru site and accelerated hydrogenation of nitrogenous intermediates on the Ni substrate.29 In the flow-cell shown in Fig. 3(e), The Ru1Ni SAA catalyst exhibits high NO3-N conversion (≈93%) and N2 selectivity (≈99%) with a removal capacity of 11.1 mg L−1 h−1 cm−2 and 20 cycles stability (Fig. 3(f)), in which the current density was significantly higher than that in single cell. The Zhu group developed a flow-through zero-gap electrochemical reactor was for NO3 reduction to NH3, using a reconstructed Cu(OH)2 cathode with a 3D network structure.33 The reactor exhibited excellent electrochemical performance, achieving 100% NO3 conversion and 80.36% N2 selectivity, along with rapid reduction kinetics of 0.077 min−1. The mass transport and current utilization efficiency were significantly enhanced by shortening the inter-electrode distance. The in situ reconstruction of the Cu(OH)2 cathode to form Cu/Cu2O was crucial for efficient nitrate reduction. The highly selective conversion of *NO to *N and the N–N coupling step were facilitated by improving the coverage of the key intermediate *N.
image file: d4cc05762g-f3.tif
Fig. 3 (a) Illustration of the continuous-flow cell and the corresponding N2 yield rates and NO3 removal per order reduction. (c) The mass transfer process of NO3 in catalyst pores. Reproduced with permission from ref. 47. (d) EXAFS spectra of Ru1Ni SAA in the R space of Ru K-edge. (e) The customized flow cell and (f) the corresponding long-term stability assessment of the Ru1Ni SAA for NO3 removal. Reproduced with permission from ref. 29. (g) Photography of electrochemical cell with zero-gap. (h) Density distribution of NO3 and (i) electrochemical performance in flow-through electrochemical reactors with different gap. Reproduced with permission from ref. 33.

3.3 Nitrogenous chemicals beyond ammonia and dinitrogen

NOx electroreduction to products beyond N2/NH3, such as NH2OH, is challenging because key intermediates tend to undergo excessive reduction, favouring the formation of N2/NH3. However, recent advances have demonstrated that NOx electroreduction can yield products beyond N2/NH3, with NH2OH being efficiently produced.

NH2OH is a valuable chemical raw material with important applications in fuels, pharmaceuticals, and agrochemicals. Traditional methods for synthesizing NH2OH face limitations such as harsh conditions, environmental pollution, and high energy consumption. In contrast, electrochemical NOx-to-NH2OH under mild conditions using renewable energy offers a more sustainable alternative. We demonstrated the electrochemical synthesis of NH2OH via ketone-mediated NO3 reduction as is illustrated in Fig. 4(a).48 A metal–organic-framework-derived Cu catalyst (CuxCyOz@600) was developed and exhibited remarkable performance. It achieved an excellent FE of 47.8% and a corresponding formation rate of 34.9 mg h−1 cm−2 for cyclopentanone oxime (CP-O) formation (Fig. 4(b)). Through hydrolysis of CP-O, a significantly higher concentration of 96.1 mmol L−1 NH2OH could be stabilized in the solution with a 99.9% CP-O conversion and a 96.2% HA selectivity. The reaction proceeded through a series of steps including the chemical adsorption of NO3 on the catalyst surface to form *NO, followed by protonation and reduction steps to form various intermediates, and finally leading to the formation of NH2OH and its capture by ketone to form CP-O (Fig. 4(c) and (d)). The coexistence of Cu0 and Cu+ on the catalyst surface was beneficial for the protonation and reduction of *NO and *NH2OH desorption, which enhanced the production of NH2OH. Zhang and co-workers designed and prepared Co single-atom catalysts (SACs) and Co nanoparticles (Co NPs).49 As is shown in Fig. 4(e), Co SACs showed excellent NH2OH selectivity (NH2OH FE of 81.3%) from NO electroreduction under mild conditions, while Co NPs were more inclined to generate NH3 (NH3FE of 92.3%). It was found that the linear adsorption of NO on isolated Co sites in Co SACs, which was proved in Fig. 4(f), enabled the formation of NH2OH, while the bridge adsorption of NO on adjacent Co sites in Co NPs induced the production of NH3 (Fig. 4(g)). Zeng group presented an innovative approach for hydroxylamine synthesis using air as the nitrogen source and H2O as the hydrogen source.50 A plasma-electrochemical cascade pathway (PECP) was developed, which involved two main steps. Firstly, plasma treatment of ambient air and water produced a NO3 solution with a concentration of up to 120.1 mol L−1. Then, the obtained NO3 was selectively converted to NH2OH through electroreduction, using a bismuth-based electrode (Bi film/CFP). Bi film/CFP exhibited an excellent FE for NH2OH reaching 81.0% and a high hydroxylamine yield rate of 713.1 μmol cm−2 h−1. A very high selectivity for NH2OH of 95.8% was also achieved. On the Bi(012) facet of Bi film/CFP electrode, the potential-determining step for the formation of both NH2OH and NH3 was the protonation process of *NO into the adsorbed NHO intermediate. However, the desorption of *NH2OH into NH2OH was more thermodynamically favourable than the dissociation into * NH2 and *OH, leading to the selective formation of NH2OH.


image file: d4cc05762g-f4.tif
Fig. 4 (a) Illustration of NH2OH synthesis mediated by ketone. (B) Oxime FE of CuxCyOz catalysts. (c) Online DEMS and (d) in situ ATR-FTIR of NO3 reduction with a ketone mediator. Reproduced with permission from ref. 48. (e) FE of NH2OH and NH3 on Co SACs and Co NPs catalysts. (f) In situ ATR-FTIR and (g) reaction pathways of NH2OH generation on Co SACs. Reproduced with permission from ref. 49. (h) NO3 concentration under different flow rates of air. NH2OH FE of (i) Bi film/CFP and (j) other metal electrodes. (k) Energy diagram of NH2OH absorption on different metal. Reproduced with permission from ref. 50. (l) Energy barriers of *NO hydrogenation to *NOH over hcp-Co and fcc-Co. Free energy diagram for *NO hydrogenation to *HNO or *NOH on (m) Co-SAC and (n) hcp-Co. (o) Simulated and experimental NH2OH FE on SAC-Co. Reproduced with permission from ref. 51.

Xiao and co-workers utilized an improved constant potential simulation method and microkinetic model to understand NO reduction to NH3 and NH2OH on Co catalysts.51 For the comparison between hcp-Co and fcc-Co, hcp-Co was found to be superior for NH3 production, attributing to it showing facile proton and electron transfer during the key steps in NH3 formation (Fig. 4(l)). The energetic barriers for key steps such as the hydrogenation of *NO was lower on hcp-Co compared to fcc-Co. Additionally, hcp-Co exhibited a charge-transfer coefficient larger than that of fcc-Co, and NO accepted more electrons upon adsorption from hcp-Co. The lateral suppression effect from *NO was also stronger on hcp-Co. The calculated selectivity of NH3 production on hcp-Co was consistent with experimental results. Co-SA was highly selective for NH2OH production via *HNO. The electronic structure of Co-SAC was more localized, resulting in a positively charged catalytic active site. This led to weaker adsorption of intermediates compared to hcp-Co. The reaction mechanism on Co-SAC for NH2OH production was different from that on hcp-Co and fcc-Co. The *NO protonation to *HNO on Co-SAC was a combination of partial electron transfer and proton transfer process (Fig. 4(m)), while on hcp-Co, the adsorption of *NO and *NOH production was a sequential electron and proton transfer process (Fig. 4(m)). As a result, Co-SAC and bulk Co led to the formation of NH2OH and NH3, respectively, as is shown in Fig. 4(o).

Recently, we proposed an electrocatalytic system for upgrading NO3 to N2H4, involving electrochemical NO3 upgrading to NH3, followed by ketone-mediated NH3 to N2H4, achieving an overall selectivity of 88.7% for the conversion of NO3 to N2H4.52 Diphenyl ketone (DPK) emerged as an optimal mediator, facilitating controlled N–N coupling due to its steric and conjugation effects. The acetonitrile solvent stabilized and activated key imine intermediates through hydrogen bonding. The imine intermediates formed on WO3 catalyst acted as pivotal monomers to drive controlled N–N coupling with high selectivity, which was facilitated by lattice oxygen-mediated dehydrogenation on WO3 catalyst.

3.4 Organonitrogen chemicals

While ammonia has long been the primary nitrogen source for the production of organonitrogen compounds, such as amino acids, amides, and amines, the electrocatalytic upgrading of NOx offers distinct advantages by utilizing nitrogenous pollutants as feedstocks. This approach not only mitigates environmental pollution but also converts NOx wastes into high-value chemicals that are crucial for various industries, including pharmaceuticals, agriculture, and polymers. In contrast to conventional processes, which often require harsh reagents and high-temperature conditions, NOx upgrading via electrocatalysis can provide a more energy-efficient and environmentally friendly alternative.
Oxime. Our group reported the synthesis of cyclohexanone oxime using air-derived NOx as the nitrogen source (Fig. 5(a)), in which the electrocatalytic reactions were conducted on Cu/TiO2 catalyst and achieved a high performance with a cyclohexanone oxime formation rate of 20.1 mg h−1 cm−2 and a FE of 51.4%.53 The selectivity of cyclohexanone oxime was >99.9% based on cyclohexanone. The reaction involved plasma-assisted air-to-NOx (Fig. 5(b)) and co-electrolysis of NOx and cyclohexanone (Fig. 5(c)). Cyclohexanone oxime formed through the reaction between an NH2OH intermediate generated from NOx reduction and cyclohexanone. The Li group presented the conversion of NOx into oxime ethers using MgO nanoparticles anchored in self-standing carbon-nanofibers membrane (MgO-SCM) derived from Mg-MOF/polymer, which showed excellent performance with a selectivity of 93% and FE up to 65.1% for 4-cyanobenzaldoxime production.35 The tandem electrocatalytic reduction reaction is a three-step process. First, NO was converted into NH2OH, which then spontaneously attacked aldehydes to form oximes. The MgO-SCM played a critical role in the kinetic control of the electrocatalytic process. Due to the preferential adsorption of NO over OH ions by MgO nanoparticles, the catalyst favoured the production of NH2OH, especially in the presence of aldehydes. Its weak hydrogenation capacity reduced the formation of alcohol and amine from aldehydes and oximes, respectively, leading to high productivity and energy efficiency.
image file: d4cc05762g-f5.tif
Fig. 5 (a) Illustration of the cyclohexanone oxime synthesis of with air. (b) Concentration of NO3 and NO2 generated from air oxidation for different time. (c) FE of cyclohexanone on Cu/TiO2 catalysts. Reproduced with permission from ref. 53. (d) Performance of Fe–N–C-700 for electrosynthesis of glycine and the corresponding (e) Eyring plots. (f) In situ ATR-FTIR during the generation of glycine. (g) Reaction pathways of glycine formation. Reproduced with permission from ref. 54. (h) FE of formamide on different metal foil electrode. (i) Extended XANES spectra of Cu K-edge of ER-Cu catalyst. (j) Electrochemical performance of formamide generation on ER-Cu. Reproduced with permission from ref. 55. (k) Electrochemical performance of HMTA HMTA on c-OD-Cu and e-OD-Cu and (l) the corresponding reaction pathway. (m) The coordination number of Cu in e-OD-Cu during electroreduction. Reproduced with permission from ref. 56.
Amino acid. Our group demonstrated the electrosynthesis of glycine using atomically dispersed Fe–N–C catalyst, which shows excellent performance and a glycine selectivity of 70.7% was achieved (Fig. 5(d)).54 The reaction was enabled by the reductive coupling of oxalic acid and NOx. The FeN3C structure and pyrrolic nitrogen in Fe–N–C-700 played crucial roles through facilitating the reduction of oxalic acid to glyoxylic acid (Fig. 5(e)), which was important for producing glyoxylic acid oxime and glycine (Fig. 5(f)). The synergy between the FeN3C structure and pyrrolic nitrogen creates a local reactant-rich environment, favouring further coupling reactions (Fig. 5(g)). FeN3C also reduced the energy barrier of *HOOCCHNH2 intermediate formation, accelerating the conversion of glyoxylic acid oxime to glycine. The Zhang group recently proposed the electrocatalytic synthesis of amino acids from NO and α-keto acids on oxide-derived Ag (OD-Ag) with low-coordination sites.57 In one-pot reaction, it achieved a FE of 17.0% and a yield rate of 11.45 mmol h−1 g−1 for alanine synthesis. However, the one-pot system had limitations due to the mismatch of pyruvate oxime formation and reduction steps. Mechanistic studies revealed a cascade NO → NH2OH → pyruvate oxime → alanine pathway. To overcome these issues, a spatially decoupled two-pot electrosynthesis system using flow reactors loaded with OD-Ag was designed. This decoupled system delivered 3.85 g of easily purified alanine with a total FE of 70% and a purity of >98% at 100 mA cm−2. The techno-economic analysis and solar-energy-powered electrosynthesis system demonstrated the potential of this strategy, which was also suitable for synthesizing other amino acids.
Amides. Zhang and co-workers reported the upgrading of formic acid to formamide via coupling NO2 co-reduction.55 Among the screened electrocatalysts, Cu showed the highest performance (Fig. 5(h)). By preparing low-coordinated Cu nanocubes (ER-Cu) (Fig. 5(i)) through electrochemical reduction of Cu2O nanocubes, an optimal formamide FE of 29.7% was achieved, with a selectivity from formic acid to formamide up to 90.0% (Fig. 5(j)). C–N bond formation occurred through coupling *CHO and *NH intermediates. Ma et al. achieved the electrochemical conversion of CO2 and NO2 to acetamide using copper nanoparticles.58 The electrochemical performance showed that acetamide formation on Cu nanoparticles reached to 20 mA cm−2 and 80 mA cm−2 at in 0.5 mol L−1 KOH and 1.0 mol L−1 KOH, respectively. Reduction of CO2 and NO2 first proceeded separately to generate acetaldehyde and NH2OH. They then underwent a nucleophilic addition reaction to form acetaldoxime, which was further dehydrogenated and dehydroxylated to form acetonitrile. Finally, acetonitrile was hydrolysed in the alkaline bulk electrolyte to form the final product acetamide.
Amine. Recently, the Wang group conducted the electrocatalytic coupling of NO3 and formaldehyde for the synthesis of hexamethylenetetramine (HMTA) on electrochemical oxidation-derived copper (e-OD-Cu) with Cu vacancies.58 e-OD-Cu achieved an HMTA yield of 76.8% and a FE of 74.9% (Fig. 5(k)). The reaction pathway of HMTA synthesis on e-OD-Cu involved a tandem electrochemical-chemical process (Fig. 5(l)). Cu vacancies, which was stable on the surface of e-OD-Cu during electroreduction (Fig. 5(m)), enhanced substrate adsorption and inhibit the further hydrogenation of C[double bond, length as m-dash]N species. Wang et al. demonstrated the electrochemical conversion of carbon dioxide and NO3 to methylamine using a cobalt β-tetraaminophthalocyanine molecular catalyst supported on carbon nanotubes.59 Under ambient conditions, methylamine was generated in a highly cooperative one-pot process with an overall FE of 13% and showed no performance decay for at least 16 h of continuous operation. Electrochemical CO2 reduction and NO2 reduction first proceed independently until HCHO and NH2OH were formed. C–N bond-forming step was enabled by the spillover of NH2OH from NO3 reduction and its subsequent condensation with formaldehyde from CO2 reduction, yielding formaldoxime, which was further electrochemically reduced to target methylamine product.
Urea. Yu and co-workers reported indium hydroxide (In(OH)3) with well-defined {100} facets as the catalyst for the electrocatalytic synthesis of urea from NO3 and CO2, which achieved an average urea yield of 533.1 μg h−1 mgcat.−1, with a FE of 53.4%, nitrogen selectivity of 82.9% and carbon selectivity of approximately 100%.60 The direct C–N coupling of *NO and *CO2 intermediates occurred on the {100} facets of In(OH)3. The *NO intermediate was formed through the thermodynamically spontaneous reduction of NO3. The lower energy barrier for the direct coupling of *NO and *CO2 compared to the protonation of *NO or *CO2 separately led to high selectivity. Additionally, *CO2 can suppress the HER by inducing an n–p transformation in the surface semiconducting behaviour of In(OH)3. The Sargent group utilized Zn/Cu hybrid catalyst for co-electrolysis of NO3 and CO2 to synthesize urea.61 At wastewater-level nitrate concentrations, a FE of 75% was achieved, with a urea production rate of 16 μmol h−1 cm−2. *CO2NO2 preferentially forms on Zn sites, and the ensuing protonation step to form *COOHNH2 benefited from a lowered reaction energy on nearby Cu sites. He et al. provided insights into the co-reduction of CO2 and NO3 for sustainable urea synthesis under pulsed electrolysis.62 An iron tetraphenylporphyrin molecular electrocatalyst (Fe-TPP/CNTs) achieved a maximum FE of 27.70% for urea under pulsed electrolysis, which increased the local concentration of CO2 and NO3 but reduced the local pH to enrich *CO and *NH2 intermediates favoured by C–N coupling, creating a favourable local environment for urea generation while suppressing competing reactions. Liao et al. designed γ-Fe2O3@Ni-HITP, consisting ultrasmall γ-Fe2O3 nanoparticles (<2 nm) encapsulated in the pores of a conductive Ni-HITP metal–organic framework, which exhibited excellent electrocatalytic performance for urea synthesis, achieving a FEof urea of 67.2%, a current density of −90 mA cm−2, and a high yield rate of 20.4 g h−1 gcat−1.63 FeIII species in the γ-Fe2O3 nanoparticles showed high activity, generating key intermediates *NH2 and *COOH. Pairs of adjacent FeIII in the γ-Fe2O3 nanoparticles acted as highly active catalytic sites for catalysing the C–N coupling between *NH2 and *COOH, forming the subsequent key intermediate *CONH, contributing to the high performance for urea production.

The progress outlined above demonstrates that NH2OH is widely available direct nitrogen source, generated from NOx, and capable of undergoing carbon–nitrogen condensation with ketones and aldehydes. We propose that NH2OH can serve as a useful intermediate in carbon–nitrogen condensation reactions for two key reasons. First, NH2OH exhibits higher nucleophilicity than other nitrogen-containing species generated from NOx such as NH3. Second, NH2OH possesses an eight-electron stable structure, which confers greater stability and longer lifetime compared to other intermediates, such as *NH2, *NH, and *N, allowing NH2OH to facilitate subsequent reactions.

In addition, product separation and purification of organic products are critical for advancing the practical applications of electrocatalytic NOx upgrading technology in large-scale systems. For example, Li et al. demonstrated the successful purification of amino acids with 93% purity using a simple freeze-drying technique,64 while cyclohexanone oxime was obtained with a 95% yield following straightforward separation and steam drying.65 These advances highlight the potential for scalable, cost-effective separation methods that can support the industrial application of NOx upgrading technologies.

4. Summary and outlook

4.1 Electrocatalytic systems coupled with physical fields

The future of electrocatalytic NOx upgrading lies in the integration of multiple physical fields, including light, heat, and magnetism, to enhance the performance and efficiency of catalytic systems. By harnessing these physical fields, we can design novel electrocatalytic systems that provide more efficient activation and conversion of nitrogenous intermediates. In-depth exploration of the mechanisms by which these physical fields interact with nitrogenous intermediates is essential for optimizing catalytic processes and boosting NOx upgrading.

4.2 In situ characterization techniques

A comprehensive understanding of the reaction pathways of electrocatalytic NOx upgrading systems is vital to achieving greater efficiency. To this end, developing advanced in situ characterization techniques is of great importance. These techniques will allow researchers to observe the behaviour of catalysts and intermediates under in real time, revealing critical insights into their interaction mechanisms. Harnessing these insights, we can fine-tune electrocatalytic processes to achieve enhanced performance and novel product outcomes.

4.3 Sustainable pathways for renewable resource utilization

Another essential direction for NOx upgrading is the development of novel catalytic pathways. We can pioneer complex catalytic systems capable of converting raw materials into high-value products with greater efficiency and sustainability. This concept can be further elaborated by designing a series of integrated systems that combine established thermal catalysis or biodegradation technologies with electrocatalytic conversion processes. Additionally, the creation of new catalyst-solvent-device systems is crucial for enabling these efficient conversions, further bridging the gap between upstream raw material supply and downstream product synthesis.

By pushing forward in these directions, we can unlock new potentials in electrocatalytic NOx upgrading and we believe that electrocatalytic NOx upgrading systems can pave the way for the application of clean energy and renewable nitrogen resources.

Author contributions

S. J., X. S., and B. H. wrote the manuscript. X. S. and B.H. supervised the project.

Data availability

No primary research results, software or code have been included and no new data were generated or analysed as part of this review.

Conflicts of interest

There are no conflicts to declare.

Acknowledgements

The work was supported by the National Natural Science Foundation of China (22293015 and 22121002) and Photon Science Center for Carbon Neutrality.

Notes and references

  1. P. Gao, L. Zhong, B. Han, M. He and Y. Sun, Angew. Chem., Int. Ed., 2022, 61, e202210095 CrossRef PubMed.
  2. M. He, Y. Sun and B. Han, Angew. Chem., Int. Ed., 2013, 52, 9620–9633 CrossRef PubMed.
  3. M. He, Y. Sun and B. Han, Angew. Chem., Int. Ed., 2022, 61, e202112835 CrossRef PubMed.
  4. Z. Cen, X. Han, L. Lin, S. Yang, W. Han, W. Wen, W. Yuan, M. Dong, Z. Ma, F. Li, Y. Ke, J. Dong, J. Zhang, S. Liu, J. Li, Q. Li, N. Wu, J. Xiang, H. Wu, L. Cai, Y. Hou, Y. Cheng, L. L. Daemen, A. J. Ramirez-Cuesta, P. Ferrer, D. C. Grinter, G. Held, Y. Liu and B. Han, Nat. Chem., 2024, 16, 871–880 CrossRef PubMed.
  5. R. Wu, Q. Meng, J. Yan, Z. Zhang, B. Chen, H. Liu, J. Tai, G. Zhang, L. Zheng, J. Zhang and B. Han, Nat. Catal., 2024, 7, 702–718 CrossRef.
  6. X. Wu, J. Du, Y. Gao, H. Wang, C. Zhang, R. Zhang, H. He, G. Lu and Z. Wu, Chem. Soc. Rev., 2024, 53, 8379–8423 RSC.
  7. F. Wang, J. D. Harindintwali, Z. Yuan, M. Wang, F. Wang, S. Li, Z. Yin, L. Huang, Y. Fu, L. Li, S. X. Chang, L. Zhang, J. Rinklebe, Z. Yuan, Q. Zhu, L. Xiang, D. C. W. Tsang, L. Xu, X. Jiang, J. Liu, N. Wei, M. Kästner, Y. Zou, Y. S. Ok, J. Shen, D. Peng, W. Zhang, D. Barceló, Y. Zhou, Z. Bai, B. Li, B. Zhang, K. Wei, H. Cao, Z. Tan, L.-B. Zhao, X. He, J. Zheng, N. Bolan, X. Liu, C. Huang, S. Dietmann, M. Luo, N. Sun, J. Gong, Y. Gong, F. Brahushi, T. Zhang, C. Xiao, X. Li, W. Chen, N. Jiao, J. Lehmann, Y.-G. Zhu, H. Jin, A. Schäffer, J. M. Tiedje and J. M. Chen, Innovation, 2021, 2, 100180 Search PubMed.
  8. Y. Wang, Y. Qin, W. Li, Y. Wang, L. Zhu, M. Zhao and Y. Yu, Trans. Tianjin Univ., 2023, 29, 275–283 CrossRef.
  9. S. Jia, L. Wu, H. Liu, R. Wang, X. Sun and B. Han, Angew. Chem., Int. Ed., 2024, 63, e202400033 CrossRef PubMed.
  10. D. Wang, X. F. Lu, D. Luan and X. W. Lou, Adv. Mater., 2024, 36, 2312645 CrossRef PubMed.
  11. P. Liao, J. Kang, R. Xiang, S. Wang and G. Li, Angew. Chem., Int. Ed., 2024, 63, e202311752 CrossRef PubMed.
  12. Y. Wang, C. Wang, M. Li, Y. Yu and B. Zhang, Chem. Soc. Rev., 2021, 50, 6720–6733 RSC.
  13. H. Liu, S. Jia, L. Wu, L. He, X. Sun and B. Han, Innov. Mater., 2024, 2, 100058 CrossRef.
  14. Y. Zhong, H. Xiong, J. Low, R. Long and Y. Xiong, eScience, 2023, 3, 100086 CrossRef.
  15. H. Yao, M.-Y. Wang, C. Yue, B. Feng, W. Ji, C. Qian, S. Wang, S. Zhang and X. Ma, Trans. Tianjin Univ., 2023, 29, 254–274 CrossRef.
  16. L. Zhang, X. Sun and B. Han, Sci. Bull., 2024, 69, 563–565 CrossRef.
  17. D. Wang, J. Mao, C. Zhang, J. Zhang, J. Li, Y. Zhang and Y. Zhu, eScience, 2023, 3, 100119 CrossRef.
  18. H. H. Wong, M. Sun, T. Wu, C. H. Chan, L. Lu, Q. Lu, B. Chen and B. Huang, eScience, 2024, 4, 100140 CrossRef.
  19. L. Xu, R. Iqbal, Y. Wang, S. Taimoor, L. Hao, R. Dong, K. Liu, J. Texter and Z. Sun, Innov. Mater., 2024, 2, 100060 CrossRef.
  20. W. Li, H. Jiang, X. Zhang, B. Lei, L. Li, H. Zhou and M. Zhong, J. Am. Chem. Soc., 2024, 146, 21968–21976 CrossRef.
  21. Y. Yin, Y. Peng, M. Zhou, P. Zhang, Y. Cheng, P. Chen, X. Xing, X. Ma, Q. Zhu, X. Sun, Q. Qian, X. Kang and B. Han, Sci. Bull., 2023, 68, 2362–2369 CrossRef.
  22. J. Feng, L. Wu, X. Song, L. Zhang, S. Jia, X. Ma, X. Tan, X. Kang, Q. Zhu, X. Sun and B. Han, Nat. Commun., 2024, 15, 4821 CrossRef.
  23. A. Li, P. Zhang, E. Kan and J. Gong, eScience, 2024, 4, 100157 CrossRef.
  24. G. Xie, W. Guo, Z. Fang, Z. Duan, X. Lang, D. Liu, G. Mei, Y. Zhai, X. Sun and X. Lu, Angew. Chem., Int. Ed., 2024, e202412568 Search PubMed.
  25. L. Zhou and R. Lv, J. Energy Chem., 2022, 70, 310–331 CrossRef.
  26. S. Jia, L. Wu, L. Xu, X. Sun and B. Han, Ind. Chem. Mater., 2023, 1, 93–105 RSC.
  27. K. Wang, R. Mao, R. Liu, J. Zhang, H. Zhao, W. Ran and X. Zhao, Nat. Water, 2023, 1, 1068–1078 CrossRef.
  28. F.-Y. Chen, A. Elgazzar, S. Pecaut, C. Qiu, Y. Feng, S. Ashokkumar, Z. Yu, C. Sellers, S. Hao, P. Zhu and H. Wang, Nat. Catal., 2024, 7, 1032–1043 CrossRef.
  29. Z. Wu, X. Kang, S. Wang, Y. Song, F. Xie, X. Duan and J. Yang, Adv. Funct. Mater., 2024, 2406917 CrossRef.
  30. Y. Fang, M. Li, Y. Gao, Y. Wen and B. Shan, Angew. Chem., Int. Ed., 2024, e202415729 Search PubMed.
  31. M. Wang, S. Li, Y. Gu, W. Xu, H. Wang, J. Sun, S. Chen, Z. Tie, J.-L. Zuo, J. Ma, J. Su and Z. Jin, J. Am. Chem. Soc., 2024, 146, 20439–20448 CrossRef.
  32. J. Shao, H. Jing, P. Wei, X. Fu, L. Pang, Y. Song, K. Ye, M. Li, L. Jiang, J. Ma, R. Li, R. Si, Z. Peng, G. Wang and J. Xiao, Nat. Energy, 2023, 8, 1273–1283 CrossRef.
  33. J. Zhou, Y. Zhu, K. Wen, F. Pan, H. Ma, J. Niu, C. Wang and J. Zhao, Environ. Sci. Technol., 2024, 58, 4824–4836 CrossRef.
  34. Y. Fan, X. Wang, C. Butler, A. Kankam, A. Belgada, J. Simon, Y. Gao, E. Chen and L. R. Winter, Nat. Water, 2024, 2, 684–696 CrossRef.
  35. S. Wang, R. Xiang, P. Liao, J. Kang, S. Li, M. Mao, L. Liu and G. Li, Angew. Chem., Int. Ed., 2024, 63, e202405553 CrossRef CAS.
  36. Y. Zhou, L. Zhang, Z. Zhu, M. Wang, N. Li, T. Qian, C. Yan and J. Lu, Angew. Chem., Int. Ed., 2024, 63, e202319029 CrossRef PubMed.
  37. L. Wu, S. Jia, L. Zhang, R. Wang, J. Feng, X. Sun and B. Han, Sci. China: Chem., 2024, 67, 1969–1975 CrossRef.
  38. L. Wu, J. Feng, L. Zhang, S. Jia, X. Song, Q. Zhu, X. Kang, X. Xing, X. Sun and B. Han, Angew. Chem., Int. Ed., 2023, 62, e202307952 CrossRef PubMed.
  39. Y. Huang, C. He, C. Cheng, S. Han, M. He, Y. Wang, N. Meng, B. Zhang, Q. Lu and Y. Yu, Nat. Commun., 2023, 14, 7368 CrossRef PubMed.
  40. Y. Xu, C. Cheng, J. Zhu, B. Zhang, Y. Wang and Y. Yu, Angew. Chem., Int. Ed., 2024, 63, e202400289 CrossRef PubMed.
  41. W. Wen, S. Fang, Y. Zhou, Y. Zhao, P. Li and X.-Y. Yu, Angew. Chem., Int. Ed., 2024, 63, e202408382 CrossRef PubMed.
  42. L. Zhou, X. Chen, S. Zhu, K. You, Z.-J. Wang, R. Fan, J. Li, Y. Yuan, X. Wang, J. Wang, Y. Chen, H. Jin, S. Wang and J.-J. Lv, Angew. Chem., Int. Ed., 2024, 63, e202401924 CrossRef PubMed.
  43. F. Hong, X. Su, Y. Fang, X. He and B. Shan, J. Am. Chem. Soc., 2024, 146, 25200–25210 CrossRef PubMed.
  44. Y. Wang, H. He, H. Lv, F. Jia and B. Liu, Nat. Commun., 2024, 15, 6761 CrossRef PubMed.
  45. Y. Bu, W. Yu, Q. Yang, W. Zhang, Q. Sun, W. Wu, P. Cui, C. Wang and G. Gao, Environ. Sci. Technol., 2024, 58, 12708–12718 CrossRef PubMed.
  46. H. Xu, Y. Ma, J. Chen, W.-X. Zhang and J. Yang, Chem. Soc. Rev., 2022, 51, 2710–2758 Search PubMed.
  47. Y. Li, J. Ma, T. D. Waite, M. R. Hoffmann and Z. Wang, Environ. Sci. Technol., 2021, 55, 10695–10703 CrossRef PubMed.
  48. S. Jia, L. Wu, X. Tan, J. Feng, X. Ma, L. Zhang, X. Song, L. Xu, Q. Zhu, X. Kang, X. Sun and B. Han, J. Am. Chem. Soc., 2024, 146, 10934–10942 CrossRef PubMed.
  49. J. Zhou, S. Han, R. Yang, T. Li, W. Li, Y. Wang, Y. Yu and B. Zhang, Angew. Chem., Int. Ed., 2023, 62, e202305184 CrossRef PubMed.
  50. X. Kong, J. Ni, Z. Song, Z. Yang, J. Zheng, Z. Xu, L. Qin, H. Li, Z. Geng and J. Zeng, Nat. Sustain., 2024, 7, 652–660 CrossRef.
  51. P. Guo, D. Luan, H. Li, L. Li, S. Yang and J. Xiao, J. Am. Chem. Soc., 2024, 146, 13974–13982 CrossRef PubMed.
  52. S. Jia, L. Zhang, H. Liu, R. Wang, X. Jin, L. Wu, X. Song, X. Tan, X. Ma, J. Feng, Q. Zhu, X. Kang, Q. Qian, X. Sun and B. Han, Nat. Commun., 2024, 15, 8567 CrossRef PubMed.
  53. S. Jia, X. Tan, L. Wu, X. Ma, L. Zhang, J. Feng, L. Xu, X. Song, Q. Zhu, X. Kang, X. Sun and B. Han, Chem. Sci., 2023, 14, 13198–13204 RSC.
  54. Y. Cheng, S. Liu, J. Jiao, M. Zhou, Y. Wang, X. Xing, Z. Chen, X. Sun, Q. Zhu, Q. Qian, C. Wang, H. Liu, Z. Liu, X. Kang and B. Han, J. Am. Chem. Soc., 2024, 146, 10084–10092 CrossRef PubMed.
  55. M. Li, Y. Wu, B.-H. Zhao, C. Cheng, J. Zhao, C. Liu and B. Zhang, Nat. Catal., 2023, 6, 906–915 CrossRef.
  56. Y. Pan, Y. Zou, C. Ma, T. T. T. Nga, Q. An, R. Miao, Z. Xia, Y. Fan, C.-L. Dong, Q. Liu and S. Wang, J. Am. Chem. Soc., 2024, 146, 19572–19579 CrossRef.
  57. M. Li, Y. Wu, B.-H. Zhao, C. Cheng, J. Zhao, C. Liu and B. Zhang, Nat. Catal., 2023, 6, 906–915 CrossRef.
  58. S. Kuang, T. Xiao, H. Chi, J. Liu, C. Mu, H. Liu, S. Wang, Y. Yu, T. J. Meyer, S. Zhang and X. Ma, Angew. Chem., Int. Ed., 2024, 63, e202316772 CrossRef PubMed.
  59. Y. Wu, Z. Jiang, Z. Lin, Y. Liang and H. Wang, Nat. Sustain., 2021, 4, 725–730 CrossRef.
  60. C. Lv, L. Zhong, H. Liu, Z. Fang, C. Yan, M. Chen, Y. Kong, C. Lee, D. Liu, S. Li, J. Liu, L. Song, G. Chen, Q. Yan and G. Yu, Nat. Sustain., 2021, 4, 868–876 CrossRef.
  61. Y. Luo, K. Xie, P. Ou, C. Lavallais, T. Peng, Z. Chen, Z. Zhang, N. Wang, X.-Y. Li, I. Grigioni, B. Liu, D. Sinton, J. B. Dunn and E. H. Sargent, Nat. Catal., 2023, 6, 939–948 CrossRef.
  62. Q. Hu, W. Zhou, S. Qi, Q. Huo, X. Li, M. Lv, X. Chen, C. Feng, J. Yu, X. Chai, H. Yang and C. He, Nat. Sustain., 2024, 7, 442–451 CrossRef.
  63. D.-S. Huang, X.-F. Qiu, J.-R. Huang, M. Mao, L. Liu, Y. Han, Z.-H. Zhao, P.-Q. Liao and X.-M. Chen, Nat. Synth., 2024, 3, 1404–1413 CrossRef.
  64. J. Xian, S. Li, H. Su, P. Liao, S. Wang, R. Xiang, Y. Zhang, Q. Liu and G. Li, Angew. Chem., Int. Ed., 2023, 62, e202306726 CrossRef.
  65. Y. Wu, W. Chen, Y. Jiang, Y. Xu, B. Zhou, L. Xu, C. Xie, M. Yang, M. Qiu, D. Wang, Q. Liu, Q. Liu, S. Wang and Y. Zou, Angew. Chem., Int. Ed., 2023, 62, e202305491 CrossRef PubMed.

This journal is © The Royal Society of Chemistry 2025
Click here to see how this site uses Cookies. View our privacy policy here.