Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

# Anchoring Cu1 species over nanodiamond-graphene for semi-hydrogenation of acetylene

## Abstract

The design of cheap, non-toxic, and earth-abundant transition metal catalysts for selective hydrogenation of alkynes remains a challenge in both industry and academia. Here, we report a new atomically dispersed copper (Cu) catalyst supported on a defective nanodiamond-graphene (ND@G), which exhibits excellent catalytic performance for the selective conversion of acetylene to ethylene, i.e., with high conversion (95%), high selectivity (98%), and good stability (for more than 60 h). The unique structural feature of the Cu atoms anchored over graphene through Cu-C bonds ensures the effective activation of acetylene and easy desorption of ethylene, which is the key for the outstanding activity and selectivity of the catalyst.

## Introduction

Selectively hydrogenating remnant acetylene in the raw olefin streams to ethylene while avoiding the over-hydrogenation to undesired ethane is a key industrial reaction to manufacture polymer-grade raw materials for the production of polyethylene1,2,3. The most commonly used industrial catalyst for the reaction is based on supported Pd nanoparticles (NPs) modified by Ag additives4. Although the Pd-Ag catalyst prevents the usage of toxic promoters such as lead or sulfur (Lindlar catalyst)5, the extremely high cost of Pd leaves ample room for improving the cost-effectiveness in catalyst design. In an effort to develop environment-friendly and cost-effective catalysts, various approaches have been pursued, including (i) reducing the amount of noble metals by “site-isolation” strategy or engineering a minimal ensemble6,7,8,9,10,11 and (ii) developing non-noble metals/metal oxides catalysts12,13,14,15,16,17,18.

The key to the first strategy is to prepare atomically dispersed metal catalysts, a burgeoning class of catalytic materials, in which isolated metal atoms were anchored on the solid supports7,19,20,21,22,23. Owing to their unique structural and electronic features, the atomically dispersed noble metal catalysts not only displayed unrivaled advantages for their maximal atomic utilization and high turnover frequency (TOF) but also strongly promoted the studies related to active site identifications and reaction mechanisms23,24,25,26,27,28. For the second approach, it is highly desired to develop new catalysts using cheap, non-toxic, and earth-abundant transition metals, such as Cu or Fe, to achieve comparable catalytic performance to that of Pd-based catalysts. Indeed, non-noble metal oxides have been investigated extensively for the development of low-cost and high-performance alkyne hydrogenation catalysts, including ceria12,13,14,15,16. Owing to limited H2 activation ability29, semihydrogenation of alkynes over these oxide catalysts normally required a relatively high-operating temperature. In an elegant work recently, Pardo et al. reported a metal–organic framework-based Fe(III)-O catalyst18. This single-site cationic species was active for acetylene hydrogenation at up to 150 °C, which is an important advance in non-noble metal catalyst for this reaction. Alternatively, earth-abundant metal especially Cu-based catalysts have been developed and evaluated for the reaction, suggesting that Cu, as an inexpensive and non-toxic catalyst, has an activity for acetylene hydrogenation over other aforementioned non-noble metals30. Yet, a small quantity of Pd promoter was still a must for achieving satisfactory catalytic performance31,32.

Herein we report the fabrication of cheap atomically dispersed Cu catalysts without other noble metals to effectively catalyze selective hydrogenation of acetylene. In the followings, we will first show adequate experimental evidences that isolated Cu atoms were anchored over the surface-defective nanodiamond–graphene (ND@G) support (Cu1/ND@G). Second, we will demonstrate that Cu1/ND@G possessed remarkable catalytic performance: high conversion (95%), high selectivity (98%), and good stability (for >60 h) for acetylene hydrogenation, compared to the Cu-cluster catalyst supported over the same host (denoted as Cun/ND@G). Finally, by density functional theory (DFT) calculations, we will show that the unique structure of the atomically dispersed Cu catalyst facilitates the activation of acetylene and the desorption of ethylene, which is pivotal for the enhanced activity and selectivity of Cu1/ND@G compared to Cun/ND@G.

## Results

### Synthesis and characterization of Cu1/ND@G and Cun/ND@G

We prepared the Cu1/ND@G and Cun/ND@G catalysts following the preparation procedure in the “Methods” section. Here we will probe the dispersion states of Cu atoms in these two different catalysts. The substrate ND@G features a thin graphene shell with abundant defects formed during the annealing of ND. High-resolution transmission electron microscope (HRTEM) images (see Fig. 1a and Supplementary Fig. 1), Raman spectra, and X-ray photoelectron spectroscopic (XPS) measurements (see Supplementary Figs. 3 and 4) revealed the unique defect-rich structure of ND@G. The highly defective few-layer graphene outer-shells served as hosts for anchoring metal atoms. By simply modulating the reduction temperature (see the preparation details in the “Methods” section) of Cu species deposited on graphitic carbon shells, we could change the dispersion state of Cu to prepare two different types of catalysts: atomically dispersed Cu catalyst (denoted as Cu1/ND@G) and Cu-cluster catalyst (denoted as Cun/ND@G). Importantly, both of them have identical Cu loading amount (0.25 wt%). From X-ray diffraction (XRD) profiles (see Supplementary Fig. 5), no diffraction associated with bulk Cu was detected on both catalysts, demonstrating that the Cu species were highly dispersed over the substrate surface. Further structural analysis of the catalysts (see Supplementary Table 1) revealed that no obvious differences in chemical structure were found between Cu1/ND@G and Cun/ND@G except for the dispersion of Cu species. The aberration-corrected high-angle annular dark-field scanning transmission electron microscopic (HAADF-STEM) images showed that the Cu1/ND@G catalyst was consisted of isolated bright spots, indicating the atomically dispersed Cu species on ND@G (Fig. 1c, d). In contrast, for Cun/ND@G, the Cu species was dominated by Cu clusters, together with a small amount of atomically dispersed Cu (see Fig. 1e, f). In good agreement with the results of TEM, Cu dispersion state observed by N2O titration (99.8% for Cu1/ND@G and 85.2% for Cun/ND@G, see Supplementary Table 1) further confirmed that the two catalysts, sharing the same Cu loading, have different atomic dispersion states.

The X-ray adsorption fine structure (XAFS) measurement was employed to further investigate the distinct structure of Cu species. Clearly, the near-edge feature of Cu1/ND@G or Cun/ND@G samples was in between of those of Cu foil and CuO (Fig. 2a), indicating that the Cu species were partially positively charged (Cuδ+, 0 < δ < 2). Fourier-transformed k2-weighted extended X-ray absorption fine structure (EXAFS) in R space was performed to elucidate the coordination environments of Cu atoms anchored on ND@G. For Cu1/ND@G, the only distinct scattering was observed at 1.5 Å that corresponds to the first coordination shell of Cu-C or Cu-O. This evidences the single atom Cu on ND@G through Cu-C bonding, which is further verified by the appearance of Cu-C peak at 283 eV in C 1s XPS spectrum after Cu was loaded on ND@G (Fig. 3a)32. In contrast, for Cun/ND@G, besides the scattering of Cu-C at 1.5 Å, a major peak at 2.2 Å that ascribed to Cu-Cu scattering could be observed, indicating the formation of Cu clusters. A wavelet transformation (WT) of Cu k-edge EXAFS oscillations also displayed the dispersion of Cu in both samples visually in both k and R spaces. Figure 2c, d are the WT contour plots of Cu1/ND@G and Cun/ND@G that showed a Cu-C back-scattering contribution near 1.5 Å, indicating that both Cu1 and Cun were anchored on ND@G through the Cu-C bonding. However, as shown in Fig. 2d, another peak at 2.2 Å in Cun/ND@G, which is associated with the Cu-Cu scattering, further verified the dispersion state of Cu clusters.

XPS was used to study the valence states of Cu in two catalysts (Fig. 3b). For Cu1/ND@G, the Cu 2p3/2 peak appeared at 933.7 eV, situated between Cu0/Cu+ (932.4 eV) and Cu2+ (934.6 eV)33,34, which is consistent with the XANES results (Fig. 2a and Supplementary Fig. 6). The results imply that the Cu species in Cu1/ND@G interact strongly with the substrate. Through Cu-C bonds, an elevated chemical valence of single atom Cu species due to charge transferred from Cu atoms to substrate could be observed, which was absent on Cun/ND@G due to the similar properties between Cu clusters and bulk Cu.

Quantitative chemical configuration analysis of Cu1/ND@G and Cun/ND@G were carried out through the least-squared EXAFS fitting. The R-space fitting results are shown in Fig. 2e and Supplementary Fig. 9, and the corresponding structure parameters are listed in Supplementary Table 2. The coordination number of the center Cu atom with surrounding C atoms on Cu1/ND@G was 3.1, and the mean bond length of Cu-C was 1.94 Å. Based on these results, the proposed local atomic structure of Cu was constructed as that in Fig. 2f. The isolated Cu atom was anchored over the defective sites of graphene through bonding with three C atoms.

### Acetylene hydrogenation performance over Cu1/ND@G and Cun/ND@G

Selective hydrogenation of acetylene was carried out using Cu1/ND@G and Cun/ND@G, respectively, to gain insight into the impact of the atomic structure and spatial arrangement of Cu over the catalytic performance. The conversion and selectivity as a function of temperature over these two catalysts are shown in Fig. 4a. For aggregated Cu species in Cun/ND@G, the conversion was still <20% even at 200 °C. Significantly, Cu1/ND@G manifested robust catalytic activity and remarkably high selectivity toward ethylene (see Fig. 4a). The conversion of acetylene reached 95% at 200 °C, with ethylene selectivity of 98%. We further compared the intrinsic activity of two catalysts, as shown in Fig. 4b. Cu1/ND@G showed a high TOF of 0.0017 s−1 (4.25 times higher than that of Cun/ND@G) and a high ethylene yield of 93.1%, showing competitive advantages over former results [<90%] (see Supplementary Table 3 and Supplementary Fig. 10). Apparent activation energies (Ea) of the Cu1/ND@G and Cun/ND@G catalysts were 41.9 and 54.3 kJ/mol, respectively (see Fig. 4c), suggesting the superiority of atomically dispersed Cu catalysts. The stability of Cu1/ND@G catalyst was found to be excellent. As shown in Fig. 4d, the conversion and selectivity at 200 °C over Cu1/ND@G remained steady at 95% and 98%, respectively, for at least 60 h under reaction conditions. The atomic structure of the Cu1/ND@G catalyst was well maintained (see Supplementary Figs. 79 and Supplementary Tables 1 and 2) during the stability test. Meanwhile, under the reaction conditions where the conversion is high enough to meet the industrialization requirement (see Supplementary Fig. 11), Cu1/ND@G remained stable for at least 30 h.

### DFT calculations

To better understand the nature of the superior acetylene hydrogenation activity of Cu1/ND@G, the reaction process was studied by DFT. The details of the computational simulation methods can be found in the “Methods” section. Cu1 supported over graphene layer (Cu1@Gr) was used to model the Cu1/ND@G catalyst, while a Cu13 cluster on ND@G to model the Cun/ND@G catalyst. The computational details are summarized in Supplementary Information, including all of the possible binding modes of different adsorbates on the catalytic surfaces. The energy profiles (including the entropy contribution) for the catalysis of Cu1/ND@G are shown in Fig. 5. On Cu1/ND@G, the adsorption energy of acetylene on Cu atoms is −1.19 eV (see Supplementary Table 4). Then the molecular hydrogen undergoes dissociative adsorption. This step is exothermic by 0.36 eV with an energy barrier of 1.36 eV (from B to C), which is the rate determining step (RDS) for acetylene hydrogenation. On the Cu13 cluster catalyst, the barrier of RDS is 1.50 eV (see Supplementary Fig. 14), implying that the cluster catalyst is less active than the Cu1 catalyst (see Supplementary Fig. 16). More importantly, the transition-state energy of ethylene hydrogenation on Cu1/ND@G (TS2, 1.27 eV) is above the energy of gas-phase ethylene (1.08 eV), suggesting that ethylene favors desorption over further hydrogenation in the following step. In another word, the high selectivity of acetylene hydrogenation here is due to the priority of ethylene desorption at the atomically dispersed Cu sites of Cu1/ND@G. This calculated result is consistent with the observed difference in catalytic performance between Cu1/ND@G and Cun/ND@G.

## Discussion

In summary, we synthesized an atomically dispersed Cu1/ND@G catalyst for acetylene semihydrogenation reaction. It exhibited remarkably outstanding acetylene conversion (~95%), ethylene selectivity (~98%), and stability (>60 h), exceeding the Cu-cluster catalyst with the same Cu loading. The unique bonding structure and electronic property of Cu atoms on Cu1/ND@G facilitate the acetylene activation and ethylene desorption, which clearly elucidates the importance of isolated Cu atoms in catalysts for high-performance acetylene semihydrogenation. Our results and conclusions pave the way for rational design of promising non-noble catalysts for hydrogenation processes.

## Methods

### Materials

ND powders were purchased from Beijing Grish Hitech Co., Ltd, China. Copper (II) nitrate trihydrate (Cu(NO3)2·3H2O) was the analytical reagent and purchased from Sinopharm Chemical Reagent Co., Ltd, China. Deionized (DI) water with the specific resistance of 18.25 MΩ cm was used in all our experiments.

### Preparation of ND@G

ND@G was prepared by annealing ND powders at 1100 °C (heating rate 5 °C min−1) for 4 h under flowing Ar gas (100 mL min−1) and then naturally cooled to room temperature. The as-prepared products were further purified by hydrochloric acid for 24 h and then washed with DI water. Finally, the ND@G nanocarbon support was obtained after drying in vacuum at 60 °C for 24 h.

### Preparation of Cu1/ND@G and Cun/ND@G

Typically, 200 mg ND@G was dispersed into 30 mL DI water in a 100-mL round-bottom flask, and the mixture was ultrasonically treated for 30 min to obtain a homogeneous suspension. Then the pH value of ND@G support suspension was adjusted to about 11 by dropping 0.25 M Na2CO3 solution. Afterwards, 4 mL Cu(NO3)2·3H2O solution (containing 0.125 mg mL−1 Cu) was introduced into ND@G support suspension dropwise under magnetic stirring at 100 °C in oil bath and then kept stirring for 1 h. At the end, the mixture was naturally cooled to room temperature, collected by filter, washed several times with DI water, and dried in vacuum at 60 °C for 12 h.

The catalysts were reduced in H2 (10 vol% in He, flow rate = 50 mL min−1) at 200 °C for 1 h to yield Cu1/ND@G and at 600 °C for 1 h to obtain Cun/ND@G. The catalysts after the 60-h reaction were denoted as Cu1/ND@G-60h and Cun/ND@G-60h, respectively.

### Catalyst characterization methods

HRTEM images were taken by a FEI Tecnai G2 F20 working at 200 kV. Atomic resolution STEM images were recorded by a JEOL JEM ARM 200CF aberration-corrected cold field-emission scanning transmission electron microscope at 200 kV. XPS were carried out on ESCALAB 250 instrument with Al Kα X-rays (1489.6 eV, 150 W, 50.0 eV pass energy) and the C 1s peak at 284.6 eV as internal standard. XRD patterns were collected by using an X-ray diffractometer (Bruker Smart APEX II) using a Cu Kα source at a scan rate of 2° min−1. N2 physisorption were measured at −196 °C using a Micrometrics ASAP-2020 instrument. The porosity of samples was obtained through Brunauaer–Emmetr–Teller analysis with the pore volume measured at p/p0 = 0.99, and the pore size distribution was analyzed by BJH method from desorption branch. The dispersion of Cu species on catalysts was measured by a surface oxidation–reduction method on a AutoChem II 2920 apparatus. Typically, 200 mg sample was loaded in a quartz U-tube. After pretreatment with He at 100 °C for 30 min, the sample was reduced with 10 vol% H2 in Ar at 200 °C for 1 h (flow rate = 30 mL min−1) and cooled to 90 °C in He flow. Then 10 vol% N2O in He was introduced into the tube and kept for 3 h at 90 °C (flow rate = 30 mL min−1). The sample was purged with He again and cooled to 50 °C, and then the sample was reduced with 10 vol% H2 in Ar (flow rate = 30 mL min−1) from 50 °C to 450 °C with a heating rate of 10 °C min−1. Ultraviolet-Raman spectroscopy was performed on powder samples by using HORIBA LabRam HR Raman spectrometer, and the excitation wavelength was 325 nm with a power of 0.2 mW (exposure 90 s, accumulate 3 times). XAFS measurements were carried out at Shanghai Synchrotron Radiation Facility. Elemental analysis of copper in the solid catalysts was detected by inductively coupled plasma–atomic emission spectrometry (Optima 8300 DV).

### Catalytic performance tests

The selective hydrogenation activity of the catalysts was conducted in a quartz-bed flow reactor for acetylene hydrogenation with 200 mg catalysts. A gas mixture of 1 vol% C2H2, 10 vol% H2, and 20 vol% C2H4 with He balance (flow rate = 10 mL min−1, GHSV = 3000 mL g−1 h−1) was introduced, followed by ascending temperature testing. Gas chromatograph (GC) injections were done at each temperature after stabilization for 30 min. The reactants and products were analyzed by GC (Agilent 7890 A) equipped with a flame ionization detector and a HP-PLOT AL/S (HP-plot 19091 P-S15, Agilent, 50 m × 0.32 mm × 8 μm) capillary column with He as the carrier gas.

Acetylene conversion and selectivity to ethylene were calculated as the following:

$${\mathrm{Conversion}} = \frac{{{\mathrm{C}}_{\mathrm{2}}{\mathrm{H}}_{\mathrm{2}}\ \left({{\mathrm{feed}}} \right) - {\mathrm{C}}_{\mathrm{2}}{\mathrm{H}}_{\mathrm{2}}}}{{{\mathrm{C}}_{\mathrm{2}}{\mathrm{H}}_{\mathrm{2}}}} \times 100\%$$
(1)
$${\mathrm{Selectivity}} = \left(1 \, - \, \frac{{{\mathrm{C}}_{\mathrm{2}}{\mathrm{H}}_{\mathrm{6}} + {\mathrm{2C}}_4\ {\mathrm{olefin}}}}{{{\mathrm{C}}_{\mathrm{2}}{\mathrm{H}}_{\mathrm{2}}\ \left({{\mathrm{feed}}} \right) - {\mathrm{C}}_{\mathrm{2}}{\mathrm{H}}_{\mathrm{2}}}}\right) \times 100\%$$
(2)

### Computational simulations of the catalytic mechanisms by Cu1/ND@G and Cun/ND@G

All of the catalytic structures were obtained by the geometry optimizations using the plane-wave-based DFT method implemented in the Vienna Ab Initio Simulation Package35,36. We describe the electron–ion interaction using the projector augmented wave method37,38. The generalized gradient approximation and the Perdew–Burke–Emzerhof functional39,40 describes the exchange and correlation energies for all systems. All the calculations take spin polarized into consideration. The plane-wave expansion of the wave functions adopted an energy cutoff of 400 eV. The Monkhorst–Pack k-point was set to 3 × 3 × 1 in the reciprocal lattice. The convergence criteria for electronic self-consistent interactions is 10−5. The geometries of bulk and surface were optimized by the conjugate gradient algorithm until the maximum force on any ion was <0.03 eV Å−1, where all the atoms in the catalyst and adsorbate were fully relaxed. The most stable configurations of the reactant and intermediates on Cu1@Gr were determined by using the climbing image nudged elastic band method41, and vibrational frequencies were analyzed to ensure the transition state with only one imaginary frequency.

## Data availability

The data supporting this article and other findings are available from the corresponding authors upon request. The source data underlying Figs. 2a, b, e, 3a, b, 4a–d, and 5 and Supplementary Figs. 2a, b, 3a–c, 4a–f, 5, 6, 7a, b, 8a, b, 10, 11, 14, 15, and 16 are provided as a Source Data file.

## References

1. 1.

Studt, F. et al. Identification of non-precious metal alloy catalysts for selective hydrogenation of acetylene. Science 320, 1320–1322 (2008).

2. 2.

Teschner, D. et al. Understanding palladium hydrogenation catalysts: when the nature of the reactive molecule controls the nature of the catalyst active phase. Angew. Chem. Int. Ed. 47, 9274–9278 (2008).

3. 3.

Chan, C. W. A. et al. Interstitial modification of palladium nanoparticles with boron atoms as a green catalyst for selective hydrogenation. Nat. Commun. 5, 5787–5795 (2014).

4. 4.

Studt, F. et al. On the role of surface modifications of palladium catalysts in the selective hydrogenation of acetylene. Angew. Chem. Int. Ed. 47, 9299–9302 (2008).

5. 5.

López, N. & Vargas-Fuentes, C. Promoters in the hydrogenation of alkynes in mixtures: insights from density functional theory. Chem. Commun. 48, 1379–1391 (2012).

6. 6.

Pei, G. X. et al. Ag alloyed Pd single-atom catalysts for efficient selective hydrogenation of acetylene to ethylene in excess ethylene. ACS Catal. 5, 3717–3725 (2015).

7. 7.

Vilé, G. et al. A stable single-site palladium catalyst for hydrogenations. Angew. Chem. Int. Ed. 54, 11265–11269 (2015).

8. 8.

Huang, F. et al. Atomically dispersed Pd on nanodiamond/graphene hybrid for selective hydrogenation of acetylene. J. Am. Chem. Soc. 140, 13142–13146 (2018).

9. 9.

Lin, R. et al. Design of single gold atoms on nitrogen-doped carbon for molecular recognition in alkyne semi-hydrogenation. Angew. Chem. Int. Ed. 131, 514–519 (2019).

10. 10.

Wei, S. et al. Direct observation of noble metal nanoparticles transforming to thermally stable single atoms. Nat. Nanotechnol. 13, 856–861 (2018).

11. 11.

Huang, X. et al. Enhancing both selectivity and coking-resistance of a single-atom Pd1/C3N4 catalyst for acetylene hydrogenation. Nano Res. 10, 1302–1312 (2017).

12. 12.

Vilé, G., Bridier, B., Wichert, J. & Pérez-Ramírez, J. Ceria in hydrogenation catalysis: high selectivity in the conversion of alkynes to olefins. Angew. Chem. Int. Ed. 51, 8620–8623 (2012).

13. 13.

Vilé, G., Colussi, S., Krumeich, F., Trovarelli, A. & Pérez-Ramírez, J. Opposite face sensitivity of CeO2 in hydrogenation and oxidation catalysis. Angew. Chem. Int. Ed. 53, 12069–12072 (2014).

14. 14.

Werner, K. et al. Toward an understanding of selective alkyne hydrogenation on ceria: on the impact of O vacancies on H2 interaction with CeO2(111). J. Am. Chem. Soc. 139, 17608–17616 (2017).

15. 15.

Cao, T. et al. An in situ DRIFTS mechanistic study of CeO2-catalyzed acetylene semihydrogenation reaction. Phys. Chem. Chem. Phys. 20, 9659–9670 (2018).

16. 16.

Padole, M. C. et al. Adsorption of C2 gases over CeO2-based catalysts: synergism of cationic sites and anionic vacancies. Phys. Chem. Chem. Phys. 19, 14148–14159 (2017).

17. 17.

Tejeda-Serrano, M. et al. Synthesis of supported planar iron oxide nanoparticles and their chemo- and stereoselectivity for hydrogenation of alkynes. ACS Catal. 7, 3721–3729 (2017).

18. 18.

Tejeda-Serrano, M. et al. Isolated Fe(III)-O sites catalyze the hydrogenation of acetylene in ethylene flows under front-end industrial conditions. J. Am. Chem. Soc. 140, 8827–8832 (2018).

19. 19.

Lin, L. et al. Low-temperature hydrogen production from water and methanol using Pt/α-MoC catalysts. Nature 544, 80–83 (2017).

20. 20.

Li, T. et al. Maximizing the number of interfacial sites in single-atom catalysts for the highly selective, solvent-free oxidation of primary alcohol. Angew. Chem. Int. Ed. 57, 7795–7799 (2018).

21. 21.

Qiao, B. et al. Single-atom catalysis of CO oxidation using Pt1/FeOx. Nat. Chem. 3, 634–641 (2011).

22. 22.

Lee, B.-H. et al. Reversible and cooperative photoactiviation of single-atom Cu/TiO2 photocatalysts. Nat. Mater. 18, 620–626 (2019).

23. 23.

Derita, L. et al. Structural evolution of atomically dispersed Pt catalysts dictates reactivity. Nat. Mater. 18, 746–751 (2019).

24. 24.

Lin, L. et al. A highly CO-tolerant atomically dispersed Pt catalyst for chemoselective hydrogenation. Nat. Nanotechnol. 14, 354–361 (2019).

25. 25.

Chen, Z. et al. A heterogeneous single-atom palladium catalyst surpassing homogeneous systems for Suzuki coupling. Nat. Nanotechnol. 13, 702–707 (2018).

26. 26.

Qiao, B. et al. Highly efficient catalysis of preferential oxidation of CO in H2-rich stream by gold single-atom catalysts. ACS Catal. 5, 6249–6254 (2015).

27. 27.

Lin, J. et al. Remarkable performance of Ir1/FeOx single-atom catalyst in water gas shift reaction. J. Am. Chem. Soc. 135, 15314–15317 (2013).

28. 28.

Cao, L. et al. Atomically dispersed iron hydroxide anchored on Pt for preferential oxidation of CO in H2. Nature 565, 631–635 (2019).

29. 29.

Riley, C. et al. Design of effective catalysts for selective alkynes hydrogenation by doping of ceria with a single-atom promotor. J. Am. Chem. Soc. 140, 12964–12973 (2018).

30. 30.

Kyriakou, G. et al. Isolated metal atom geometries as a strategy for selective heterogeneous hydrogenations. Science 335, 1209–1212 (2012).

31. 31.

Pei, G. X. et al. Performance of Cu-alloyed Pd single-atom catalyst for semihydrogenation of acetylene under simulated front-end conditions. ACS Catal. 7, 1491–1500 (2017).

32. 32.

Jasson, U. et al. Design of carbide-based nanocomposite thin films by selective alloying. Surf. Coat. Technol. 206, 583–590 (2011).

33. 33.

Qu, Y. et al. Direc transformation of bulk copper into copper single sites via emitting and trapping of atoms. Nat. Catal. 1, 781–786 (2018).

34. 34.

Gong, J. et al. Synthesis of ethanol via syngas on Cu/SiO2 catalysts with balanced Cu0-Cu+ sites. J. Am. Chem. Soc. 134, 13922–13925 (2012).

35. 35.

Kresse, G. & Furthmüller, J. Efficient iterative schemes for ab inito total-energy calculations using a plane-wave basis set. Phys. Rev. B 54, 11169–11186 (1996).

36. 36.

Kresse, G. & Furthmüller, J. Effeciency of ab-inito total energy calculations for metals and semiconductors using a plane-wave basis set. Comput. Mater. Sci. 6, 15–50 (1996).

37. 37.

Blӧchl, P. E. Projector augmented-wave method. Phys. Rev. B 50, 17953–17979 (1994).

38. 38.

Kresse, G. & Joubert, D. From ultrasoft pseudopotentials to the projector augmented-wave method. Phys. Rev. B 59, 1758–1775 (1999).

39. 39.

Perdew, J. P., Burke, K. & Ernzerhof, M. Generalized gradient approximation made simple. Phys. Rev. Lett. 77, 3865–3868 (1996).

40. 40.

Perdew, J. P. & Wang, Y. Accurate and simple analytic representation of the electron-gas correlation energy. Phys. Rev. B 45, 13244–13249 (1992).

41. 41.

Graeme, H., Uberuaga, B. P. & Hannes, J. A climbing image nudged elastic band method for finding saddle points and minimum energy paths. J. Chem. Phys. 113, 9901–9904 (2000).

## Acknowledgements

This work was supported by the Ministry of Science and Technology (2016YFA0204100, 2017YFB0602200), the National Natural Science Foundation of China (91845201, 21573254, 91545110, 21725301, 91645115, 21932002 and 21473003), the Joint Fund of National Natural Science Foundation of China (U1732667), the Youth Innovation Promotion Association, and Chinese Academy of Science (CAS). N.W. hereby acknowledges the funding support from the Research Grants Council of Hong Kong (Project Nos. C6021-14E and 16306818). The XAS experiments were conducted in Shanghai Synchrotron Radiation Facility (SSRF).

## Author information

Authors

### Contributions

H.L. and D.M. conceived the research. F.H. conducted material synthesis and carried out the catalytic performance test. Y.D., Z.J. and M.P. conducted the X-ray absorption fine structure spectroscopic measurements and analyzed the data. M.P. and J.X. conducted the X-ray photoelectron spectroscopy. Y.C. and X.W. performed the DFT calculations. X.C. and N.W. contributed to the aberration-corrected high-angle annular dark-field scanning transmission electron microscopy. Z.J. performed some of the experiments. The manuscript was primarily written by F.H., Y.D., H.L. and D.M. and revised by D.X. All authors contributed to discussions and manuscript review.

### Corresponding authors

Correspondence to Zheng Jiang or Hongyang Liu or Ding Ma.

## Ethics declarations

### Competing interests

The authors declare no competing interests.

Peer review information Nature Communications thanks Antonio Leyva-Pérez and the other anonymous reviewer(s) for their contribution to the peer review of this work. Peer reviewer reports are available.

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

## Rights and permissions

Reprints and Permissions

Huang, F., Deng, Y., Chen, Y. et al. Anchoring Cu1 species over nanodiamond-graphene for semi-hydrogenation of acetylene. Nat Commun 10, 4431 (2019). https://doi.org/10.1038/s41467-019-12460-7

• Accepted:

• Published:

• ### Mesoporous Thorn‐Covered Core–Shell Cathode and 3D Reduced Graphene Oxide Aerogel Composite Anode with Conductive Multivalence Metal Sulfides for High‐Performance Aqueous Hybrid Capacitors

• Min Gyu Park
• , Jae Won Choi
• , Il Woo Ock
• , Gi Hwan Kim
•  & Jeung Ku Kang

• ### Defect Engineering on Carbon-Based Catalysts for Electrocatalytic CO2 Reduction

• Dongping Xue
• , Huicong Xia
• , Wenfu Yan
• , Jianan Zhang
•  & Shichun Mu

Nano-Micro Letters (2021)

• ### Synergistic effect between Ni single atoms and acid–base sites: Mechanism investigation into catalytic transfer hydrogenation reaction

• Yuqing Chen
• , Wei Liu
• , Pan Yin
• , Minghui Ju
• , Jie Wang
• , Weiyao Yang
• , Yusen Yang
•  & Chun Shen

Journal of Catalysis (2021)

• ### High‐Performance Catalysts Derived from Cupric Subcarbonate for Selective Hydrogenation of Acetylene in an Ethylene Stream

• Chenyang Lu
• , Aonan Zeng
• , Yao Wang
•  & Anjie Wang

European Journal of Inorganic Chemistry (2021)

• ### C, N Co-Decorated Alumina-Supported Au Nanoparticles: Enhanced Catalytic Performance for Selective Hydrogenation of Acetylene

• Yuan Zhang
• , Xun Sun
• , Yali Zhao
• , Huijuan Su
• , Toru Murayama
•  & Caixia Qi

Topics in Catalysis (2021)