Next Article in Journal
Recent Advances in Manganese(III)-Assisted Radical Cyclization for the Synthesis of Natural Products: A Comprehensive Review
Previous Article in Journal
Strong Acceptors Based on Derivatives of Benzothiadiazoloimidazole
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Insights into the Origin of Activity Enhancement via Tuning Electronic Structure of Cu2O towards Electrocatalytic Ammonia Synthesis

School of Chemistry and Chemical Engineering, Liaocheng University, Liaocheng 252059, China
*
Authors to whom correspondence should be addressed.
Molecules 2024, 29(10), 2261; https://doi.org/10.3390/molecules29102261
Submission received: 11 April 2024 / Revised: 3 May 2024 / Accepted: 7 May 2024 / Published: 11 May 2024

Abstract

:
The insight of the activity phase and reaction mechanism is vital for developing high-performance ammonia synthesis electrocatalysts. In this study, the origin of the electronic-dependent activity for the model Cu2O catalyst toward ammonia electrosynthesis with nitrate was probed. The modulation of the electronic state and oxygen vacancy content of Cu2O was realized by doping with halogen elements (Cl, Br, I). The electrocatalytic experiments showed that the activity of the ammonia production depends strongly on the electronic states in Cu2O. With increased electronic state defects in Cu2O, the ammonia synthesis performance increased first and then decreased. The Cu2O/Br with electronic defects in the middle showed the highest ammonia yield of 11.4 g h−1 g−1 at −1.0 V (vs. RHE), indicating that the pattern of change in optimal ammonia activity is consistent with the phenomenon of volcano curves in reaction chemistry. This work highlights a promising route for designing NO3RR to NH3 catalysts.

1. Introduction

Industrially, ammonia is usually prepared by the preparative Haber process, which operates at a temperature of 300–500 °C and a pressure of 3–6 MPa. The process consumes large amounts of non-renewable resources, generates environmental pollution, and releases large amounts of CO2 [1,2,3,4]. One of the most harmful consequences is the release of nitrates, which can leach into the soil, contaminate groundwater and surface water, and lead to the eutrophication of water bodies, causing severe disruptions to ecosystems [5,6]. On the other hand, carbon dioxide is a greenhouse gas and poses a significant threat to the environment [7,8]. The method of electrocatalytic ammonia synthesis with NO3 has gradually attracted extensive attention and research at home and abroad. The advantages of electrocatalytic ammonia synthesis are as follows: (i) H2O is used instead of H2 as the hydrogen source, which can reduce the use of fossil fuels; (ii) also, since H2O is non-toxic, non-hazardous, and widely available, this reduces environmental risks; (iii) the electricity used in electrocatalytic ammonia synthesis can also come from renewable energy sources such as photovoltaic, wind, and tidal energy [9,10,11,12]. The electrocatalytic nitrate reduction (NO3RR) synthesis of ammonia has the potential for application, as shown in Figure 1.
The reduction of nitrate (NO3) to ammonia (NH3) is a complex reaction containing multiple electron transfers and multistep hydrogenation, accompanied by various by-products. It faces the dual challenges of activity and selectivity. Therefore, owing to the core role of catalysts during the NO3RR process, the rational design of effective electrocatalysts with high activity, selectivity, and stability is always the research hotspot [13]. Among various catalysts, copper (Cu)-based catalysts have attracted a lot of research attention due to their relatively high NO3RR activity and NH3 selectivity, as well as low cost [14,15]. Inspired by the biological heterogeneous reduction of nitrate in nature, and using Cu and Co elements to mimic the adsorption catalytic center and the proton-providing center of the enzyme, respectively, Sun et al. designed Cu-Co alloy nano-sheet catalysts, which have achieved relatively excellent catalytic activity [16]. Zhang et al. investigated the active centers of Cu-based catalysts (Cu2O) during NO3RR. They found that the Cu0/Cu+ serves the active phase, and the electron transfer from Cu+ to Cu0 at the interface of Cu2O facilitated the formation of *NOH intermediate and suppressed the hydrogen evolution reaction, leading to high selectivity and faradaic efficiency [17]. Jiang et al. investigated the effect of metal doping Ni, Co, and Fe on copper-based catalysts in electrocatalytic ammonia synthesis. They found that the bimetallic catalysts exhibited higher NH3 yields than the monometallic catalysts, which was attributed to the strong synergistic effect between the Cu and other metal components [18]. Wang et al. reported that the Fe single atom catalyst effectively prevents the N-N coupling step required for N2 due to the lack of neighboring metal sites, promoting ammonia product selectivity. This catalyst had a maximal ammonia Faradaic efficiency of ~75% and a yield rate of up to ~20,000 μg h−1 mgcat−1 [5]. However, the electroreduction process always induced the morphology and electronic structure evolution of Cu-based catalytic materials, which would cause uncontrollable effects on the electrocatalytic ammonia synthesis reaction. Therefore, unveiling the origin of the Cu active phase during the NO3RR process is significant for both the fundamental understanding and rational design of nitrate-to-ammonia electrocatalysts.
Previously, we have uncovered the origin of the facet-dependent activity for the model Cu2O catalyst toward urea electrosynthesis, demonstrating that the NO3RR activity depends strongly on the crystal facets in Cu2O [19]. Further, knowing that Cu2O can also serve as a model catalyst due to its adjustable electronic structure, the origin of the prominent activity enhancement via tuning the electronic state of Cu2O was investigated. Herein, the modulation of the electronic state and oxygen vacancy content of Cu2O was realized by doping with halogen elements (Cl, Br, I). The highest ammonia yields were found at the specific active site of Cu2O/Br, with an average ammonia yield of 11.4 g h−1 g−1 at −1.0 V (vs. RHE), exceeding most of the previous reports. Firstly, the intrinsic activity of its ammonia synthesis was characterized and calculated, and it was found that Cu2O/Br has a larger electrochemically active surface area and exposes more active sites. Secondly, through in-depth analysis of the electronic states of Cu2O, it was found that as the number of electron-deficient states of Cu2O increases, its ammonia-synthesizing performance rises, reaches an optimal state, and then decreases. Finally, an in-depth analysis of the oxygen vacancy content of Cu2O halogen doping reveals that the ammonia synthesis performance of Cu2O increases with the oxygen vacancy content, with Cu2O/Br showing the best reactivity.

2. Results and Discussion

2.1. Characterization of Catalysts

2.1.1. XRD Analysis

X-ray diffraction (XRD) analysis was conducted to elucidate the crystalline structure of halogen-doped Cu2O catalysts, as depicted in Figure 2. The XRD spectra for all specimens exhibited three distinct peaks approximately at 43°, 50°, and 73°, corroborating the successful synthesis of Cu2O [20,21]. Upon comparing the peaks of undoped Cu2O with those of Cu2O/Cl, it was observed that the positions of the three peaks remained unaltered. This phenomenon suggests the uniform dispersion of Cl into the cuprous oxide matrix. In contrast, the comparison between Cu2O and Cu2O/Br indicated the presence of three additional characteristic peaks at 2θ ≈ 28°, 44°, and 53° alongside the original peaks at 2θ ≈ 43°, 50°, and 73°, implying successful doping of Br into Cu2O [22]. Similarly, the analysis of Cu2O versus Cu2O/I revealed not only the original three characteristic peaks of Cu2O but also four novel peaks at 2θ ≈ 26°, 30°, 42°, and 49°, which signifies the effective incorporation of I into the Cu2O lattice [23].

2.1.2. XPS Analysis

The surface valence states of the halogen-doped catalysts were analyzed using XPS analysis. As seen in Figure 3a, it can be seen that Cu2O consists of four elements, namely O and Cu. At the same time, the Cu2O/X (X = Cl, Br, I) catalysts also contain another three elements, Cl, Br, and I, respectively, indicating the successful doping of halogens into the Cu2O. The concentration of each halogen in the Cu2O–halogen catalysts was also made by XPS (Table S1). In Figure 3b, the Cu 2p fine spectrum shows two peaks with binding energies of 932.3 eV and 952.6 eV, attributed to Cu0/Cu+ 2p3/2 and Cu0/Cu+ 2p1/2, respectively, typical XPS binding energy peak positions of Cu+, with vibrationally excited companion peaks belonging to Cu2+ seen at 942.5 eV and 962.0 eV, indicating the presence of copper oxide on the surface [24,25,26,27]. The presence of CuO in the materials may be due to two reasons: firstly, the samples were stored for a long time before the test, leading to surface oxidation of Cu2O to CuO; secondly, residual particulate impurities on the surface of Cu2O contained a small amount of Cu2+ substances. Comparison of the energy spectra of Cu2O and Cu2O/X (X = Cl, Br, I) showed a shift in the main peak of Cu, Cu0/Cu+ 2p3/2, illustrating that halogen doping affects the electronic state of Cu2O and then changes its catalytic activity. The order of influence on the electronic state of cuprous oxide was as follows: Cu2O < Cu2O/Br < Cu2O/I < Cu2O/Cl. Additionally, the high-resolution O 1s spectrum of pure Cu2O (Figure 3c) can be divided into three peaks centered at 530.3, 531.5, and 532.4 eV, attributed to lattice oxygens, oxygen vacancies (OVs), and surface-adsorbed oxygen species (e.g., -OH groups), respectively [28]. The percentages of oxygen vacancies (OVs) in Cu2O, Cu2O/Cl, Cu2O/Br, and Cu2O/I were 31.03%, 20.50%, 43.17%, 38.50%, respectively. The content of oxygen vacancies in Cu2O showed an increasing and then decreasing trend as the halogen-doped electronegativity decreased, with the Br-doped catalyst having the highest content of oxygen vacancies. Finally, the valence states of halogens in Cu2O/X (X = Cl, Br, I) were analyzed. Figure 3d shows the fine spectrum of Cl 2p in Cu2O/Cl, with Cl 2p divided into two main peaks, Cl 2p1/2 (199.70 eV) and Cl 2p3/2 (198.1 eV), by Gaussian peak splitting [29,30]. Figure 3e shows the fine spectrum of Br 3d in Cu2O/Br, with Br 3d divided into two main peaks, Br 3d5/2 (69.1 eV) and Br 3d3/2 (70.1 eV), by Gaussian peak splitting [31]. Figure 3f shows the fine spectrum of I 3d in Cu2O/I, with I 3d divided into two main peaks, I 3d5/2 (620.0 eV) and I 3d3/2 (631.5 eV), by the Gaussian splitting method [32].

2.1.3. SEM Mapping Analysis

The morphology of the catalysts was systematically investigated using Scanning Electron Microscopy (SEM) mapping analysis, as shown in Figure 4. Observations from the SEM images reveal that the incorporation of halogens significantly alters the morphology of the catalysts, leading to an evolution towards more irregular shapes, along with an apparent increase in the fluffiness of the particle size. Figure 4 illustrates a homogeneous distribution of copper (Cu), oxygen (O), and halogen elements, underscoring the uniform doping of halogens into the Cu2O crystals. This uniform distribution indicates excellent dispersion and stability across the synthesized catalyst series [33]. High-resolution SEM and TEM images of the synthesized Cu2O–halogen catalysts have also been added in Figure S1. Clearly, both Cu2O and Cu2O/X (X = Cl, Br, I) exhibit irregular shapes, and the doping of halogens has little effect on the Cu2O morphology.

2.2. Electrocatalytic Performance

Electrochemical investigations were conducted using a standard H-cell reactor configured with a three-electrode system and operated under a fixed potential. The initial phase of the study involved evaluating the potential performance of ammonia electrosynthesis through linear scanning voltammetry (LSV), as depicted in Figure 5a. In solutions containing a mix of nitrate and bicarbonate, the catalysts demonstrated higher current densities compared to those in solely bicarbonate solutions. This suggested the involvement of nitrate ions (NO3) in the electrocatalytic reactions. Subsequently, the study focused on the ammonia production capabilities of Cu2O and Cu2O/X (X = Cl, Br, I) series catalysts. A UV-visible spectrometry sampling method was employed to quantify the ammonia content, as shown in Figure 5b. Specifically, the Cu2O/Br catalyst was examined under electrocatalytic conditions using a reversible hydrogen electrode (RHE) across a potential range of −0.4 to −1.4 V in 0.2 V increments. The results, illustrated in Figure 5c, indicated a progressive increase in ammonia yield for the Cu2O/Br catalyst. Furthermore, the ammonia selectivity of this catalyst, across a potential range of −0.4 to −1.4 V (vs. RHE), displayed a pattern of initial growth followed by a decline. Additionally, as shown in Figure 5d, the Faradaic efficiency (FE) of ammonia for the Cu2O/Br catalyst exceeded 60% within the potential range of −0.8 to −1.2 V, peaking at 62.78% at −1.0 V (vs. RHE), which demonstrated that the catalysts possessed a relatively excellent selectivity. The ammonia yield tended to increase and decrease as the halogen-doped electronegativity decreased, reaching an optimal yield of 11.4 g h−1 g−1 at Br doping, as depicted in Figure 5e. Figure 5f illustrates that the optimal ammonia FE at −1.0 V was 47.16%, 35.78%, and 43.02% for Cu2O, Cu2O/Cl, and Cu2O/I, respectively [34]. The stability electrocatalysis experiments of the prepared catalysts were carried out and confirmed the excellent electrochemical stability of Cu2O/Br (Figure S3). Moreover, a thorough comparison with existing methodologies or materials for electrocatalytic ammonia synthesis was made in this paper. Clearly, the Cu2O/Br has excellent ammonia synthesis rates (exceeding most reported catalysts) and appropriate Faraday efficiencies (Figure S2, Table S2).

2.3. Relationship between Electronic Structure and Activity of Catalysts

To elucidate the intricate relationship between the electronic state of cuprous oxide (Cu2O) and its electrocatalytic efficacy in ammonia synthesis, this study embarked on a comprehensive characterization and quantification of the intrinsic activity of Cu2O for ammonia production, as delineated in Figure 6. Employing the cyclic voltammetry technique, we meticulously determined the catalysts’ electrochemically active surface area (ECSA), each uniquely doped with varying halogens. This was achieved by extracting the double-layer capacitance (Cdl) values based on established methodologies [35]. Notably, these Cdl values exhibited a direct linear proportionality with the electrochemical surface area of the respective electrodes [36]. Figure 6 represents the capacitive current curves and cyclic voltammograms (CV) for the pristine Cu2O and its halogen-doped variants Cu2O/X (X = Cl, Br, I). Additionally, the insets within the figure present a detailed view of the capacitive current curve and CV profiles, measured in a potential range of −0.30 to −0.60 V relative to the reversible hydrogen electrode (RHE). These cyclic voltammograms were explicitly recorded in a potential domain where the current response was exclusively ascribed to the charging of the electrical double layer. A pivotal observation from Figure 6 is the discernible alteration in the intrinsic activity of cuprous oxide upon halogen doping. Furthermore, the capacitance measurements of the catalysts revealed a hierarchical sequence: Cu2O (3.05 mF cm−2), Cu2O/Cl (3.44 mF cm−2), Cu2O/I (4.18 mF cm−2), and Cu2O/Br (5.17 mF cm−2). This sequence indicates a progressive increase in the ECSA and suggests that Cu2O/Br manifests a comparatively larger ECSA, thereby exposing an augmented number of active sites for catalysis. Consequently, the catalytic performance of these samples demonstrated a congruent trend with the density of catalytically active sites. This correlation underscores the significant role of ECSA in enhancing the electrocatalytic efficiency of Cu2O-based catalysts for ammonia synthesis, thereby illuminating new avenues for optimizing catalytic materials in this domain.
In this advanced analysis, employing X-ray photoelectron spectroscopy (XPS), the study reveals that halogen doping influences the Cu main peak positioning, thereby altering Cu2O’s electronic state, as depicted in Figure 7. The electronic states of the copper (Cu) element in cuprous oxide (Cu2O) were intricately linked to the ammonia synthesis properties, as depicted in Figure 8a and Figure S4a. The impact hierarchy on the electronic state of Cu2O is as follows: Cu2O < Cu2O/Br < Cu2O/I < Cu2O/Cl. Intriguingly, a correlation was observed between the electronic state variations in Cu2O and the ammonia synthesis performance. It was noted that the ammonia synthesis efficacy first increased and then decreased with the varying electronic states of Cu2O. This observation aligns with the ‘volcano curve’ principle in reaction chemistry [37,38]. It suggests that Cu2O/Br demonstrates peak activity when the adsorption strength of reactive intermediates on Cu2O’s surface is neither too strong (as in Cu2O/Cl) nor too weak (as in Cu2O), hence optimizing ammonia reaction activity.
Another focus of this study is the effect of oxygen vacancy content in halogen-doped Cu2O on the ammonia production rate, as shown in Figure 8b and Figure S4b. X-ray photoelectron spectroscopy (XPS) analysis reveals that halogen doping significantly impacts the concentration of oxygen vacancies in cuprous oxide. The hierarchy in oxygen vacancy content is observed as Cu2O/Cl < Cu2O < Cu2O/I < Cu2O/Br. Intriguingly, the efficiency of ammonia synthesis showed a positive correlation with the increase in oxygen vacancy content. Notably, Cu2O/Br emerged as the most effective, underscoring a direct relationship between the augmented oxygen vacancies and enhanced ammonia synthesis performance. This phenomenon highlights the critical role of halogen doping in modulating oxygen vacancy concentration, thereby influencing the overall reactivity and efficiency in the synthesis of ammonia.

3. Materials and Method

3.1. Reagents

Ascorbic acid (C6H8O6), salicylic acid (C7H6O3), and nitrosoferricyanide (C5H4FeN6Na2O3∙2H2O) were obtained from Aladdin Reagent (Shanghai, China) Co.; sodium hydroxide (NaOH) was obtained from Tianjin Damao Chemical Reagent Factory (Tianjin, China); ethanol (C2H6O) and potassium bicarbonate (KHCO3) were obtained from McLean Reagents (Shanghai, China) Technology Development Co.; sodium citrate (C6H5Na3O7∙2H2O) was obtained from Tianjin Ding Sheng Xin Chemical Co. (Tianjin, China).

3.2. Synthesis of Cuprous Oxide (Cu2O) and Cu2O/X (X = Cl, Br, I)

This synthesis protocol prepared an initial solution by dissolving 2.0 g of copper sulfate into 55 mL of ascorbic acid solution. This mixture was subjected to continuous agitation for 10 min to ensure forming a uniform solution and designated as Solution 1. After that, 0.5 g of polyvinylpyrrolidone was introduced into Solution 1. The resultant homogenous mixture was then denoted as Solution 2. After this preparation, Solution 2 underwent a 20 min ultrasonication process and was then transferred to a Teflon-lined stainless steel autoclave. This reactor facilitated a reaction process at 120 °C for 4 h. The solution was cooled to ambient room temperature after the reaction. The resultant residue was subjected to a rigorous purification process involving triple washing with absolute ethanol and deionized water to eliminate impurities. The final stage of the procedure involved drying the Cu2O microparticles for 5 h at 60 °C in a drying oven, culminating in the acquisition of pure Cu2O microparticles, carefully characterized and documented for further analytical studies.
Utilizing the methodology delineated previously, Solution 2 was synthesized. Subsequently, distinct halogenated variants were prepared by adding 0.05 g of NH4Cl, 0.0962 g of NaBr, and 0.1406 g of NaI, respectively, resulting in the formulations designated as Solutions D1, D2, and D3. These solutions underwent a 20 min ultrasonic treatment and were then transferred into a stainless steel reactor, with the interior lined with polytetrafluoroethylene (PTFE). The reactions were conducted at 120 °C for 4 h. Upon completion, the solutions were allowed to cool to ambient room temperature. The precipitated products from each reaction were meticulously collected and subjected to a rigorous purification process involving thrice-repeated washes with anhydrous ethanol and deionized water, ensuring the removal of impurities and unreacted substrates. After the washing steps, the halogenated Cu2O microparticles were isolated by drying them in a desiccator at 60 °C for 8 h. This meticulous drying process facilitated the removal of residual moisture, yielding high-purity samples. The final products, characterized by their halogen substituents, were classified as Cu2O/Cl, Cu2O/Br, and Cu2O/I.

3.3. Materials Characterization

Physical phase analysis of the catalysts was carried out using a Rigaku mini Flex II X-ray diffractometer of Rigaku Japan, in which the anode target was a copper target, and the X-ray source was Cu Kα rays at a wavelength of λ = 0.15406 nm. Under the test conditions, the operating voltage was set at 40 kV and the operating current at 100 mA. The scanning rate of the instrument was set to 8 degrees per minute, and the scanning step was set to 0.02 degrees, while the scanning range was from 20–80 degrees. The morphology and elemental distribution of the catalysts were analyzed by a JEOLJSM-7800F field emission scanning electron microscope equipped with an energy-dispersive X-ray spectrometer (EDS). The ultraviolet-visible (UV-Vis) absorption of the samples is measured by the Shimadzu UV-2600 UV-Vis spectrophotometer. It is based on the absorption characteristics of a substance for light at specific wavelengths and allows the determination of a substance’s concentration, composition, and structural information. The XPS (X-ray photoelectron spectroscopy) characterization of the samples was performed using a PHI5000 Versa Probe instrument, a surface analysis technique used to study the surface chemical state and composition of materials. In XPS characterization, the excitation source is X-rays produced by bombarding an aluminum (Al) anode target with an electron beam of a particular energy. These X-rays are monochromatized by a quartz crystal, leaving behind Al Kα1 rays with an energy of hv = 1486.6 eV.

3.4. Electrochemical Measurements

Electrochemical assessments were meticulously conducted employing a sophisticated CHI880D electrochemical workstation. The apparatus incorporated an H-cell, architecturally bifurcated into a dual-compartment configuration by a selectively permeable Nafion 211 membrane. The preparation of this membrane entailed a series of thermal treatments: initially, it was boiled in ultrapure water for one hour, then incubated in a 5% hydrogen peroxide aqueous solution at 80 °C for an additional hour. This step was succeeded by a one-hour submersion in 0.05 M sulfuric acid and concluded with a three-hour rinse in ultrapure water [39]. The electrode fabrication protocol commenced with the dispersion of 2 mg of the Cu2O catalyst (variants: Cu2O/Cl, Cu2O/Br, Cu2O/I) in 475 µL of isopropanol/water in a 2:1 volume ratio solution. This suspension was sonicated for 20 min to achieve a uniform distribution. Subsequently, 25 μL of Nafion solution was integrated and sonicated for an additional 5 min, culminating in the formation of a homogenous ink. A volume of 25 μL of this Cu2O catalyst ink was meticulously applied onto a 0.5 cm × 1 cm carbon paper, which underwent a 10 min exposure to light and was preserved in a plastic vial, appropriately labeled with the catalyst identity and test voltage. The catalyst-loaded electrode was secured onto a glassy carbon electrode, serving as the working electrode with a precise catalyst loading of 0.2 mg cm−2. The reference electrode was an Ag/AgCl electrode immersed in a saturated potassium chloride solution, complemented by a carbon rod counter electrode. All recorded potentials were normalized to the Reversible Hydrogen Electrode (RHE) scale, employing the conversion formula ERHE = EAg/AgCl + 0.0591 pH + 0.197. The selected electrolyte for this investigation was a meticulously prepared NO3RR solution comprising 10 g of potassium bicarbonate and 10 g of potassium nitrate, precisely calibrated in a 1000 mL volumetric flask. Each anodic and cathodic cell compartment was filled with 30 mL of this electrolyte. During the electrocatalytic process, a constant flow rate of 30 mL min−1 was maintained, accompanied by continuous stirring at 400 rpm. This was followed by Linear Sweep Voltammetry (LSV) at a scan rate of 50 mV s−1. Subsequently, timed amperometric analyses were performed at different potentials, and current density and charge accumulation were meticulously recorded.

3.5. Product Characterization

Standard calibration curves were established to quantify ammonia concentrations utilizing a systematic methodology. A range of solutions with ammonia concentrations varying from 0.2 ppm to 6 ppm were meticulously prepared. A 5 mL vial was employed for each assay, introducing 2.0 mL of the standard ammonia solution. This was followed by the sequential addition of 2.0 mL of Solution A (comprising a 1 M sodium hydroxide solution containing 5% salicylic acid and 5% sodium citrate), 1.0 mL of Solution B (0.05 M sodium hypochlorite), and 0.2 mL of Solution C (1% sodium nitro ferrocyanide). Following a two-hour incubation period in a dark environment at ambient room temperature, the optical properties of the solution were quantitatively assessed at 662nm using UV-vis. Experimental water was employed as the reference standard in this analytical procedure. A standard calibration curve was constructed based on the absorbance data obtained from these measurements, adhering to the experimental results. Furthermore, the urea concentration in question was ascertained using the indanol blue method, which is analogous to the abovementioned steps.

4. Conclusions

This research investigated the origin of the electronic-dependent activity for the model Cu2O catalyst toward ammonia electrosynthesis with nitrate. XRD, XPS, and SEM characterization of the composites Cu2O and Cu2O/X (X = Cl, Br, I) confirmed that the modulation of the electronic state and oxygen vacancy content of Cu2O was realized by doping with halogen elements (Cl, Br, I). With the increase of electronic state defects in Cu2O, the ammonia synthesis performance increased first and then decreased. The Cu2O/Br with electronic defects in the middle showed the highest ammonia yield of 11.4 g h−1 g−1 at −1.0 V (vs. RHE), indicating that the pattern of change in optimal ammonia activity is consistent with the phenomenon of volcano curves in reaction chemistry. In summary, doping affects electronic states and enhances reactivity. This work highlights a promising route to design catalysts for selective NO3RR to NH3 conversion.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/molecules29102261/s1. Figure S1. (a) and (b) represent SEM images of Cu2O and Cu2O/X (X = Cl, Br, I) at 50 μm and 1 μm; (c) TEM images of Cu2O and Cu2O/X (X = Cl, Br, I). Figure S2. Comparison of electrocatalytic NO3-RR performance for Cu2O/Br with other electrocatalysts under ambient conditions. Figure S3. Stability test of ammonia electrosynthesis on Cu2O/Br at −1.0 V over six continuous cycles (30 min/cycle). Figure S4. Plot of catalysts Cu main peak offset and oxygen vacancy content versus ammonia yield rate. Table S1. The concentration of each halogen in the Cu2O-halogen catalysts. Table S2. Comparison of electrocatalytic NO3-RR performance for Cu2O/Br with other electrocatalysts under ambient conditions. References [40,41,42,43,44,45,46,47,48,49,50,51] are cited in Supplementary Materials.

Author Contributions

Data curation, M.K. and Y.Y.; writing—original draft preparation, M.K. and J.Z. (Jiamin Zhao); writing—review and editing, Y.Y., R.Z. and Y.W.; supervision, Q.Y. and J.Z. (Jinsheng Zhao) All authors have read and agreed to the published version of the manuscript.

Funding

This work was funded by the Sinopec Foreign Cooperation Projects (33600000-22-ZC0699-0169).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data are available from the corresponding authors upon reasonable request.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Liu, Y.; Tu, X.; Wei, X.; Wang, D.; Zhang, X.; Chen, W.; Chen, C.; Wang, S. C-Bound or O-Bound Surface: Which One Boosts Electrocatalytic Urea Synthesis? Angew. Chem. Int. Ed. 2023, 62, e202300387. [Google Scholar] [CrossRef] [PubMed]
  2. Légaré, M.-A.; Bélanger-Chabot, G.; Dewhurst, R.D.; Welz, E.; Krummenacher, I.; Engels, B.; Braunschweig, H. Nitrogen fixation and reduction at boron. Science 2018, 359, 896–900. [Google Scholar] [CrossRef] [PubMed]
  3. Wang, L.; Xia, M.; Wang, H.; Huang, K.; Qian, C.; Maravelias, C.T.; Ozin, G.A. Greening ammonia toward the solar ammonia refinery. Joule 2018, 2, 1055–1074. [Google Scholar] [CrossRef]
  4. Guo, C.; Ran, J.; Vasileff, A.; Qiao, S.-Z. Rational design of electrocatalysts and photo (electro) catalysts for nitrogen reduction to ammonia (NH3) under ambient conditions. Energ. Environ. Sci. 2018, 11, 45–56. [Google Scholar] [CrossRef]
  5. Wu, Z.-Y.; Karamad, M.; Yong, X.; Huang, Q.; Cullen, D.A.; Zhu, P.; Xia, C.; Xiao, Q.; Shakouri, M.; Chen, F.-Y. Electrochemical ammonia synthesis via nitrate reduction on Fe single atom catalyst. Nat. Commun. 2021, 12, 2870. [Google Scholar] [CrossRef] [PubMed]
  6. Liu, H.; Park, J.; Chen, Y.; Qiu, Y.; Cheng, Y.; Srivastava, K.; Gu, S.; Shanks, B.H.; Roling, L.T.; Li, W. Electrocatalytic nitrate reduction on oxide-derived silver with tunable selectivity to nitrite and ammonia. ACS Catal. 2021, 11, 8431–8442. [Google Scholar] [CrossRef]
  7. Aresta, M.; Dibenedetto, A.; Angelini, A. Catalysis for the valorization of exhaust carbon: From CO2 to chemicals, materials, and fuels. Technological use of CO2. Chem. Rev. 2014, 114, 1709–1742. [Google Scholar] [CrossRef] [PubMed]
  8. Thonemann, N.; Pizzol, M. Consequential life cycle assessment of carbon capture and utilization technologies within the chemical industry. Energy Environ. Sci. 2019, 12, 2253–2263. [Google Scholar] [CrossRef]
  9. Li, W.; Li, K.; Ye, Y.; Zhang, S.; Liu, Y.; Wang, G.; Liang, C.; Zhang, H.; Zhao, H. Efficient electrocatalytic nitrogen reduction to ammonia with aqueous silver nanodots. Commun. Chem. 2021, 4, 10. [Google Scholar] [CrossRef]
  10. Shipman, M.A.; Symes, M.D. Recent progress towards the electrosynthesis of ammonia from sustainable resources. Catal. Today 2017, 286, 57–68. [Google Scholar] [CrossRef]
  11. Deng, J.; Iñiguez, J.A.; Liu, C. Electrocatalytic nitrogen reduction at low temperature. Joule 2018, 2, 846–856. [Google Scholar] [CrossRef]
  12. Suryanto, B.H.; Du, H.-L.; Wang, D.; Chen, J.; Simonov, A.N.; MacFarlane, D.R. Challenges and prospects in the catalysis of electroreduction of nitrogen to ammonia. Nat. Catal. 2019, 2, 290–296. [Google Scholar] [CrossRef]
  13. Ouyang, L.; Liang, J.; Luo, Y.; Zheng, D.; Sun, S.; Liu, Q.; Hamdy, M.S.; Sun, X.; Ying, B. Recent advances in electrocatalytic ammonia synthesis. Chin. J. Catal. 2023, 50, 6–44. [Google Scholar] [CrossRef]
  14. Shao, J.; Jing, H.; Wei, P.; Fu, X.; Pang, L.; Song, Y.; Ye, K.; Li, M.; Jiang, L.; Ma, J. Electrochemical synthesis of ammonia from nitric oxide using a copper-tin alloy catalyst. Nat. Energy 2023, 8, 1273–1283. [Google Scholar] [CrossRef]
  15. Liu, Y.; Qiu, W.; Wang, P.; Li, R.; Liu, K.; Omer, K.M.; Jin, Z.; Li, P. Pyridine-N-rich Cu single-atom catalyst boosts nitrate electroreduction to ammonia. Appl. Catal. B-Environ. Energy 2024, 340, 123228. [Google Scholar] [CrossRef]
  16. Fang, J.-Y.; Zheng, Q.-Z.; Lou, Y.-Y.; Zhao, K.-M.; Hu, S.-N.; Li, G.; Akdim, O.; Huang, X.-Y.; Sun, S.-G. Ampere-level current density ammonia electrochemical synthesis using CuCo nanosheets simulating nitrite reductase bifunctional nature. Nat. Commun. 2022, 13, 7899. [Google Scholar] [CrossRef] [PubMed]
  17. Wang, Y.; Zhou, W.; Jia, R.; Yu, Y.; Zhang, B. Unveiling the activity origin of a copper-based electrocatalyst for selective nitrate reduction to ammonia. Angew. Chem. Int. Ed. 2020, 59, 5350–5354. [Google Scholar] [CrossRef] [PubMed]
  18. Zhao, J.; Liu, L.; Yang, Y.; Liu, D.; Peng, X.; Liang, S.; Jiang, L. Insights into electrocatalytic nitrate reduction to ammonia via Cu-based bimetallic catalysts. ACS Sustain. Chem. Eng. 2023, 11, 2468–2475. [Google Scholar] [CrossRef]
  19. Zhao, J.; Yuan, Y.; Zhao, F.; Han, W.; Yuan, Q.; Kou, M.; Zhao, J.; Chen, C.; Wang, S. Identifying the facet-dependent active sites of Cu2O for selective C-N coupling toward electrocatalytic urea synthesis. Appl. Catal. B-Environ. Energy 2024, 340, 123265. [Google Scholar] [CrossRef]
  20. Li, S.; Sha, X.; Gao, X.; Peng, J. Al-Doped Octahedral Cu2O Nanocrystal for Electrocatalytic CO2 Reduction to Produce Ethylene. Int. J. Mol. Sci. 2023, 2, 12680. [Google Scholar] [CrossRef]
  21. Wang, S.; Wang, D.; Tian, B.; Gao, X.; Han, L.; Zhong, Y.; Song, S.; Wang, Z.; Li, Y.; Gui, J. Synergistic Cu+/Cu0 on Cu2O-Cu interfaces for efficient and selective C2+ production in electrocatalytic CO2 conversion. Sci. China Mater. 2023, 66, 1801–1809. [Google Scholar] [CrossRef]
  22. Zhang, L.; Meng, Y.; Xie, B.; Ni, Z.; Xia, S. Br doping promotes the transform of Cu2O (100) to Cu2O (111) and facilitates efficient photocatalytic degradation of tetracycline. Mol. Catal. 2023, 548, 113431. [Google Scholar] [CrossRef]
  23. Zhou, Y.; Ganganahalli, R.; Verma, S.; Tan, H.R.; Yeo, B.S. Production of C3–C6 acetate esters via CO electroreduction in a membrane electrode assembly cell. Angew. Chem. Int. Ed. 2022, 61, e202202859. [Google Scholar] [CrossRef] [PubMed]
  24. Zhang, Y.; Cao, L.; Bai, G.; Lan, X. Engineering single Cu sites into covalent organic framework for selective photocatalytic CO2 reduction. Small 2023, 19, 2300035. [Google Scholar] [CrossRef] [PubMed]
  25. Sun, Y.; Wang, X.; Zhang, H.; Gao, X.; Wang, X.; Wang, S.; Tang, Z.; Li, S.; Nie, K.; Xie, J. Deciphering the Stability Mechanism of Cu Active Sites in CO2 Electroreduction via Suppression of Antibonding Orbital Occupancy in the O 2p-Cu 3d Hybridization. ACS Catal. 2024, 14, 1351–1362. [Google Scholar] [CrossRef]
  26. Zhang, Q.; Wei, M.; Dong, Q.; Gao, Q.; Cai, X.; Zhang, S.; Yuan, T.; Peng, F.; Fang, Y.; Yang, S. Photoinduced Cu+/Cu2+ interconversion for enhancing energy conversion and storage performances of CuO based Li-ion battery. J. Energy Chem. 2023, 79, 83–91. [Google Scholar] [CrossRef]
  27. Yang, J.; Liu, W.; Xu, M.; Liu, X.; Qi, H.; Zhang, L.; Yang, X.; Niu, S.; Zhou, D.; Liu, Y. Dynamic behavior of single-atom catalysts in electrocatalysis: Identification of Cu-N3 as an active site for the oxygen reduction reaction. J. Am. Chem. Soc. 2021, 143, 14530–14539. [Google Scholar] [CrossRef]
  28. Teng, Z.; Yi, X.; Zhang, C.; He, C.; Yang, Y.; Hao, Q.; Dou, B.; Bin, F. CO self-sustained catalytic combustion over morphological inverse model CeO2/Cu2O catalysts exposing (100),(111) and (110) planes. Appl. Catal. B-Environ. Energy 2023, 339, 123119. [Google Scholar] [CrossRef]
  29. Sun, D.; Li, Z.; Huang, S.; Chi, J.; Zhao, S. Efficient mercury removal in chlorine-free flue gas by doping Cl into Cu2O nanocrystals. J. Hazard. Mater. 2021, 419, 126423. [Google Scholar] [CrossRef]
  30. Nie, J.; Yu, X.; Liu, Z.; Zhang, J.; Ma, Y.; Chen, Y.; Ji, Q.; Zhao, N.; Chang, Z. Energy band reconstruction mechanism of Cl-doped Cu2O and photocatalytic degradation pathway for levofloxacin. J. Clean. Prod. 2022, 363, 132593. [Google Scholar] [CrossRef]
  31. Benaissa, M.; Abdelkader, H.S.; Merad, G. Electronic and optical properties of halogen (H= F, Cl, Br)-doped Cu2O by hybrid density functional simulations. Optik 2020, 207, 164440. [Google Scholar] [CrossRef]
  32. Bouaziz, L.; Dubus, M.; Si-Ahmed, K.; Kerdjoudj, H.; Özacar, M.; Bessekhouad, Y. Effectiveness of I-doped ZnO as polyvalent material for both anti-bacterial and photocatalytic treatments. J. Mol. Struct. 2022, 1255, 132391. [Google Scholar] [CrossRef]
  33. Okoye, P.; Azi, S.; Qahtan, T.; Owolabi, T.; Saleh, T. Synthesis, properties, and applications of doped and undoped CuO and Cu2O nanomaterials. Mater. Today Chem. 2023, 30, 101513. [Google Scholar] [CrossRef]
  34. Jiang, H.; Chen, G.F.; Savateev, O.; Xue, J.; Ding, L.X.; Liang, Z.; Antonietti, M.; Wang, H. Enabled efficient ammonia synthesis and energy supply in a zinc–nitrate battery system by separating nitrate reduction process into two stages. Angew. Chem. Int. Ed. 2023, 62, e202218717. [Google Scholar] [CrossRef] [PubMed]
  35. Giri, S.D.; Mahajani, S.M.; Suresh, A.; Sarkar, A. Electrochemical reduction of CO2 on activated copper: Influence of surface area. Mater. Res. Bull. 2020, 123, 110702. [Google Scholar] [CrossRef]
  36. Martínez-Hincapié, R.; Wegner, J.; Anwar, M.U.; Raza-Khan, A.; Franzka, S.; Kleszczynski, S.; Čolić, V. The determination of the electrochemically active surface area and its effects on the electrocatalytic properties of structured nickel electrodes produced by additive manufacturing. Electrochim. Acta 2024, 476, 143663. [Google Scholar] [CrossRef]
  37. Jiang, Z.; Hu, Y.; Huang, J.; Chen, S. A combinatorial descriptor for volcano relationships of electrochemical nitrogen reduction reaction. Chin. J. Catal. 2022, 43, 2881–2888. [Google Scholar] [CrossRef]
  38. Chen, J.; Ji, Y. Locating the cocktail and scaling-relation breaking effects of high-entropy alloy catalysts on the electrocatalytic volcano plot. Chin. J. Catal. 2022, 43, 2889–2897. [Google Scholar] [CrossRef]
  39. Liu, X.; Kumar, P.V.; Chen, Q.; Zhao, L.; Ye, F.; Ma, X.; Liu, D.; Chen, X.; Dai, L.; Hu, C. Carbon nanotubes with fluorine-rich surface as metal-free electrocatalyst for effective synthesis of urea from nitrate and CO2. Appl. Catal. B-Environ. Energy 2022, 316, 121618. [Google Scholar] [CrossRef]
  40. Xu, J.; Zhang, S.; Liu, H.; Liu, S.; Yuan, Y.; Meng, Y.; Wang, M.; Shen, C.; Peng, Q.; Chen, J. Breaking local charge symmetry of iron single atoms for efficient electrocatalytic nitrate reduction to ammonia. Angew. Chem. Int. Edit. 2023, 62, e202308044. [Google Scholar] [CrossRef]
  41. Wang, Z.; Sun, C.; Bai, X.; Wang, Z.; Yu, X.; Tong, X.; Wang, Z.; Zhang, H.; Pang, H.; Zhou, L. Facile synthesis of carbon nanobelts decorated with Cu and Pd for nitrate electroreduction to ammonia. ACS Appl. Mater. Interfaces 2022, 14, 30969–30978. [Google Scholar] [CrossRef] [PubMed]
  42. Qin, J.; Wu, K.; Chen, L.; Wang, X.; Zhao, Q.; Liu, B.; Ye, Z. Achieving high selectivity for nitrate electrochemical reduction to ammonia over MOF-supported RuxOy clusters. J. Mater. Chem. 2022, 10, 3963–3969. [Google Scholar] [CrossRef]
  43. Lei, F.; Xu, W.; Yu, J.; Li, K.; Xie, J.; Hao, P.; Cui, G.; Tang, B. Electrochemical synthesis of ammonia by nitrate reduction on indium incorporated in sulfur-doped graphene. Chem. Eng. J. 2021, 426, 131317. [Google Scholar] [CrossRef]
  44. Jiang, M.; Su, J.; Song, X.; Zhang, P.; Zhu, M.; Qin, L.; Tie, Z.; Zuo, J.-L.; Jin, Z. Interfacial reduction nucleation of noble metal nanodots on redox-active metal-organic frameworks for high-efficiency electrocatalytic conversion of nitrate to ammonia. Nano Lett. 2022, 22, 2529–2537. [Google Scholar] [CrossRef] [PubMed]
  45. Ren, T.; Ren, K.; Wang, M.; Liu, M.; Wang, Z.; Wang, H.; Li, X.; Wang, L.; Xu, Y. Concave-convex surface oxide layers over copper nanowires boost electrochemical nitrate-to-ammonia conversion. Chem. Eng. J. 2021, 426, 130759. [Google Scholar] [CrossRef]
  46. Xu, Y.; Wang, M.; Ren, K.; Ren, T.; Liu, M.; Wang, Z.; Li, X.; Wang, L.; Wang, H. Atomic defects in pothole-rich two-dimensional copper nanoplates triggering enhanced electrocatalytic selective nitrate-to-ammonia transformation. J. Mater. Chem. 2021, 9, 16411–16417. [Google Scholar] [CrossRef]
  47. Zhang, S.; Wu, J.; Zheng, M.; Jin, X.; Shen, Z.; Li, Z.; Wang, Y.; Wang, Q.; Wang, X.; Wei, H. Fe/Cu diatomic catalysts for electrochemical nitrate reduction to ammonia. Nat. Commun. 2023, 14, 3634. [Google Scholar] [CrossRef] [PubMed]
  48. Gong, Z.; Zhong, W.; He, Z.; Liu, Q.; Chen, H.; Zhou, D.; Zhang, N.; Kang, X.; Chen, Y. Regulating surface oxygen species on copper (I) oxides via plasma treatment for effective reduction of nitrate to ammonia. Appl. Catal. B-Environ. Energy 2022, 305, 121021. [Google Scholar] [CrossRef]
  49. Zhu, X.; Huang, H.; Zhang, H.; Zhang, Y.; Shi, P.; Qu, K.; Cheng, S.-B.; Wang, A.-L.; Lu, Q. Filling mesopores of conductive metal-organic frameworks with Cu clusters for selective nitrate reduction to ammonia. ACS Appl. Mater. Interfaces 2022, 14, 32176–32182. [Google Scholar] [CrossRef]
  50. Fu, X.; Zhao, X.; Hu, X.; He, K.; Yu, Y.; Li, T.; Tu, Q.; Qian, X.; Yue, Q.; Wasielewski, M.R. Alternative route for electrochemical ammonia synthesis by reduction of nitrate on copper nanosheets. Appl. Mater. Today 2020, 19, 100620. [Google Scholar] [CrossRef]
  51. Wang, Y.; Liu, C.; Zhang, B.; Yu, Y. Self-template synthesis of hierarchically structured Co3O4@ NiO bifunctional electrodes for selective nitrate reduction and tetrahydroisoquinolines semi-dehydrogenation. Sci. China Mater. 2020, 63, 2530–2538. [Google Scholar] [CrossRef]
Figure 1. Electrocatalytic ammonia synthesis process.
Figure 1. Electrocatalytic ammonia synthesis process.
Molecules 29 02261 g001
Figure 2. XRD patterns of Cu2O, Cu2O/X (X = Cl, Br, I).
Figure 2. XRD patterns of Cu2O, Cu2O/X (X = Cl, Br, I).
Molecules 29 02261 g002
Figure 3. (a) General XPS spectra of Cu2O and Cu2O/X (X = Cl, Br, I); (b) XPS plots of Cu peaks of Cu2O and Cu2O/X (X = Cl, Br, I); (c) XPS plots of O peaks of Cu2O and Cu2O/X (X = Cl, Br, I); (d) XPS plots of Cl peak of Cu2O/Cl; (e) XPS plot of Br peak of Cu2O/Br; (f) XPS plot of I peak of Cu2O/I.
Figure 3. (a) General XPS spectra of Cu2O and Cu2O/X (X = Cl, Br, I); (b) XPS plots of Cu peaks of Cu2O and Cu2O/X (X = Cl, Br, I); (c) XPS plots of O peaks of Cu2O and Cu2O/X (X = Cl, Br, I); (d) XPS plots of Cl peak of Cu2O/Cl; (e) XPS plot of Br peak of Cu2O/Br; (f) XPS plot of I peak of Cu2O/I.
Molecules 29 02261 g003
Figure 4. SEM mapping image of Cu2O and Cu2O/X (X = Cl, Br, I).
Figure 4. SEM mapping image of Cu2O and Cu2O/X (X = Cl, Br, I).
Molecules 29 02261 g004
Figure 5. (a) LSV plots for electrolyte 0.1 M KHCO3 and electrolyte 0.1 M KHCO3 + 0.1 M KNO3; (b) standard curve of ammonia; (c) ammonia yield distribution of Cu2O/Br catalyst at different voltages; (d) Faraday yield distribution of Cu2O/Br catalyst at different voltages; (e) ammonia yield distribution of Cu2O and Cu2O/X (X = Cl, Br, I) catalysts at −1.0 V (vs RHE); (f) ammonia yield distribution of Cu2O and Cu2O/X (X = Cl, Br, I) catalysts at −1.0 V (vs RHE) with Faraday efficiency distributions.
Figure 5. (a) LSV plots for electrolyte 0.1 M KHCO3 and electrolyte 0.1 M KHCO3 + 0.1 M KNO3; (b) standard curve of ammonia; (c) ammonia yield distribution of Cu2O/Br catalyst at different voltages; (d) Faraday yield distribution of Cu2O/Br catalyst at different voltages; (e) ammonia yield distribution of Cu2O and Cu2O/X (X = Cl, Br, I) catalysts at −1.0 V (vs RHE); (f) ammonia yield distribution of Cu2O and Cu2O/X (X = Cl, Br, I) catalysts at −1.0 V (vs RHE) with Faraday efficiency distributions.
Molecules 29 02261 g005
Figure 6. Capacitance current curves and CV curves for Cu2O and Cu2O/X (X = Cl, Br, I) catalyst samples (ad).
Figure 6. Capacitance current curves and CV curves for Cu2O and Cu2O/X (X = Cl, Br, I) catalyst samples (ad).
Molecules 29 02261 g006
Figure 7. Localized XPS plots of the Cu main peaks of Cu2O and Cu2O/X (X = Cl, Br, I).
Figure 7. Localized XPS plots of the Cu main peaks of Cu2O and Cu2O/X (X = Cl, Br, I).
Molecules 29 02261 g007
Figure 8. Plot of Cu2O electron-deficient state and oxygen vacancy content versus ammonia yield rate.
Figure 8. Plot of Cu2O electron-deficient state and oxygen vacancy content versus ammonia yield rate.
Molecules 29 02261 g008
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Kou, M.; Yuan, Y.; Zhao, R.; Wang, Y.; Zhao, J.; Yuan, Q.; Zhao, J. Insights into the Origin of Activity Enhancement via Tuning Electronic Structure of Cu2O towards Electrocatalytic Ammonia Synthesis. Molecules 2024, 29, 2261. https://doi.org/10.3390/molecules29102261

AMA Style

Kou M, Yuan Y, Zhao R, Wang Y, Zhao J, Yuan Q, Zhao J. Insights into the Origin of Activity Enhancement via Tuning Electronic Structure of Cu2O towards Electrocatalytic Ammonia Synthesis. Molecules. 2024; 29(10):2261. https://doi.org/10.3390/molecules29102261

Chicago/Turabian Style

Kou, Meimei, Ying Yuan, Ruili Zhao, Youkui Wang, Jiamin Zhao, Qing Yuan, and Jinsheng Zhao. 2024. "Insights into the Origin of Activity Enhancement via Tuning Electronic Structure of Cu2O towards Electrocatalytic Ammonia Synthesis" Molecules 29, no. 10: 2261. https://doi.org/10.3390/molecules29102261

APA Style

Kou, M., Yuan, Y., Zhao, R., Wang, Y., Zhao, J., Yuan, Q., & Zhao, J. (2024). Insights into the Origin of Activity Enhancement via Tuning Electronic Structure of Cu2O towards Electrocatalytic Ammonia Synthesis. Molecules, 29(10), 2261. https://doi.org/10.3390/molecules29102261

Article Metrics

Back to TopTop