Skip to main content

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.

Carbon nitride supported Fe2 cluster catalysts with superior performance for alkene epoxidation

Abstract

Sub-nano metal clusters often exhibit unique and unexpected properties, which make them particularly attractive as catalysts. Herein, we report a “precursor-preselected” wet-chemistry strategy to synthesize highly dispersed Fe2 clusters that are supported on mesoporous carbon nitride (mpg-C3N4). The obtained Fe2/mpg-C3N4 sample exhibits superior catalytic performance for the epoxidation of trans-stilbene to trans-stilbene oxide, showing outstanding selectivity of 93% at high conversion of 91%. Molecular oxygen is the only oxidant and no aldehyde is used as co-reagent. Under the same condition, by contrast, iron porphyrin, single-atom Fe, and small Fe nanoparticles (ca. 3 nm) are nearly reactively inert. First-principles calculations reveal that the unique reactivity of the Fe2 clusters originates from the formation of active oxygen species. The general applicability of the synthesis approach is further demonstrated by producing other diatomic clusters like Pd2 and Ir2, which lays the foundation for discovering diatomic cluster catalysts.

Introduction

Metal cluster catalysts at the sub-nanoscale often possess unique and unexpected catalytic properties that normally do not exist in the corresponding nanoparticle counterparts1,2,3,4,5,6,7,8,9. Upon deposition on a substrate, the few atoms in the catalysts could provide a compelling platform for bridging heterogeneous and homogeneous catalysis10,11,12,13,14,15,16. Since the nature of sub-nano systems can be significantly altered by adding or removing just one atom, gaining a deep understanding on the structure–property correlations is of great importance for designing catalysts with extraordinary activity and selectivity17,18,19. While the structures and compositions of sub-nano clusters can be well characterized by X-ray absorption fine structure (XAFS) spectra in conjunction with high-resolution electron microscopes16,20,21, synthesizing monodispersed metal catalysts with atomic precision, which is the prime prerequisite, remains a great challenge.

Epoxides constitute important intermediates in fine chemical industry and biotransformation. In current processes for alkene epoxidation in liquids, an extensive use of expensive oxidants or large doses of co-reagents is usually required22,23,24, which inevitably leads to an increase in the costs. To overcome this drawback, several homogeneous catalysts like iron- and ruthenium-substituted polyoxometalates have been developed, allowing O2 to be the oxidant without a need for any co-reductant25,26. In contrast, corresponding heterogeneous catalysts are rarely reported. Supported sub-nano metal clusters, via bridging both types of catalysts, are thus expected to play a role in the reactions.

Herein, we employ a “precursor-preselected” wet-chemistry strategy to prepare Fe2 clusters dispersed on an mpg-C3N4 substrate. The preselected metal precursors ensure the formation of diatomic clusters, whereas mpg-C3N4 provides abundant anchoring sites to stabilize the metallic species. The pyrolysis process is carefully optimized to guarantee a complete removal of organic ligands from the precursors, and at the same time, prevent agglomeration of the Fe2 clusters. The prepared Fe2/mpg-C3N4 sample exhibits excellent catalytic performance toward epoxidation of trans-stilbene, which is absent when using iron porphyrin, single-atom Fe, or small Fe nanoparticles as the catalyst. First-principles calculations reveal that the unique reactivity of the Fe2 clusters is attributed to the formation of active oxygen species. The synthesis approach reported in this work can be applied to produce other transition-metal dimers and paves the way for a precise design of nanocatalysts at the atomic scale.

Results

Synthesis and characterization of Fe2/mpg-C3N4 samples

Mesoporous graphitic carbon nitride was prepared following the previous literature27. The transmission electron microscopy (TEM) image (Supplementary Figure 1) and the X-ray diffraction (XRD) pattern (Supplementary Figure 2) demonstrate a graphitic packing structure of mpg-C3N4 with disordered spherical pores27. The infrared (IR) spectrum (Supplementary Figure 3) evidences the formation of extended C–N–C networks, according to the typical C–N heterocycle stretching modes in the region of ca. 1100–1600 cm−1 and the breathing mode of tri-s-triazine units at about 810 cm−1 28,29. Regarding the produced Fe2/mpg-C3N4 samples, there is no IR absorption peak that corresponds to the organic molecules in the Fe2 precursor, indicating a complete removal of the ligands. The content of Fe is estimated to be about 0.15 wt% according to the inductively coupled plasma optical emission spectrometry (ICP-OES) analysis. Upon deposition of the Fe2 clusters, the XRD pattern does not show any additional diffraction peaks of Fe (Supplementary Figure 2), and there are no obvious Fe particles in the TEM image (Supplementary Figure 4). These results serve as the first indication that Fe2 clusters do not agglomerate during the pyrolysis process. The homogeneous distribution of the diatomic clusters is further supported by the HAADF-STEM image (Fig. 1a) and the corresponding energy dispersive X-ray (EDX) mapping analysis (Fig. 1b). The AC HAADF-STEM image (Fig. 1c) with atomic resolution further elucidates the characteristic of Fe atoms, where one can see the small bright dots homogeneously distributed on the mpg-C3N4 substrate. Due to the remarkable difference in Z-contrast between Fe and N/C30, the small bright dots are determined to be Fe atoms. Furthermore, in the magnified AC HAADF-STEM image (Fig. 1d), a large proportion of isolated metallic diatoms appears in the regions tagged by white circles, confirming the formation of diatomic Fe2 clusters. Since the AC HAADF-STEM image represents a two-dimensional projection along the incident beam direction, the detailed features of Fe2 clusters are different from each other depending on their orientations in three dimensions31. For example, a group of bright double dots is consistent with a parallel Fe2 structure, whereas a single bright dot corresponds to a Fe2 dimer that is aligned with the projection. The statistical analysis on 100 pairs of Fe2 dimers shows that the projected Fe–Fe distance between adjacent bright dots varies from 1.20 to 2.45 Å (Supplementary Figure 5). The largest distance, as shown in the intensity profiles (Fig. 1e, f), is consistent with the bond length of a Fe2 dimer. When the support is replaced by graphene oxide, the Fe2 clusters agglomerated to Fe nanoparticles (Supplementary Figures 6, 7) during the process of thermal decomposition. It is due to a lack of N atoms that can anchor the Fe2 clusters. To further illustrate the Fe2 site, we reduced the loading amount of Fe2. The AC-STEM images show that the Fe atoms in the spherical electron microscope were still present as Fe2 clusters, further indicating that the Fe2 clusters did not decompose into single atoms during the synthetic process (Supplementary Figure 8). We also performed TOF-SIMS characterization of the samples. The data show that there is only Fe2, but no larger Fe clusters, such as Fe3 or Fe4, indicating that the Fe2 clusters did not agglomerate (Supplementary Figures 9, 10). The above results demonstrate the importance of the mpg-C3N4 support in the synthesis of the Fe2 catalysts.

Fig. 1
figure1

Characterization of Fe2/mpg-C3N4 clusters. a HAADF-STEM images of Fe2/mpg-C3N4. Scale bar, 50 nm. b Corresponding element maps showing distributions of Fe (green), N (red), and C (blue), respectively. Scale bar, 50 nm. c AC HAADF-STEM images of Fe2/mpg-C3N4. Scale bar, 2 nm. d Magnified AC HAADF-STEM images of Fe2/mpg-C3N4. Scale bar, 1 nm. e, f Intensity profiles obtained in areas 1, 2, and 3

XAFS spectroscopy was utilized to probe detailed structure information such as the coordination environment32. Figure 2a shows the Fe k-edge X-ray absorption near-edge structure (XANES) spectra of the Fe2/mpg-C3N4 sample compared with Fe Foil and Fe2O3 as references. The absorption edge of Fe2/mpg-C3N4 is located between that of Fe Foil and Fe2O3, suggesting that the Fe atoms carry positive charges and are partially oxidized. The Fourier-transformed (FT) k3-weighted EXAFS spectrum of the Fe2 precursor is shown in Supplementary Figure 11. Here, a peak at a high R value (ca. 2.50 Å) corresponds to the Fe–Fe coordination path. The other two peaks, at low R values (ca. 1.82 and 2.14 Å), are assigned to the ligands of the Fe2 precursor. Interestingly, these two peaks disappeared in the spectra of the Fe2/mpg-C3N4 samples (Fig. 2b, c), meaning that the ligands had been completely removed. Figure 2b shows the FT k3-weighted EXAFS spectrum of Fe2/mpg-C3N4. At the FT curve of Fe2/mpg-C3N4, a strong peak is located at ca. 1.53 Å, indicating that the sample is mainly comprised of the Fe–N/O coordination path. Interestingly, a secondary peak, which cannot be ignored at high R value (ca. 2.27 Å), was found in the spectrum of the Fe2/mpg-C3N4 sample. It reveals that some Fe–Fe path should also be accounted for as the surrounding coordination of metal centers. According to the EXAFS fitting results summarized in Fig. 2c, d, Supplementary Table 1, and Supplementary Figures 1216, the average coordination numbers of Fe–N/O and Fe–Fe are 3.8 and 1.2, respectively. In order to further identify the local structure of Fe2/mpg-C3N4, XANES and EXAFS simulations, which are very sensitive to the 3D arrangement of atoms around the photo-absorber, were carried out at the Fe K-edge. Supplementary Figures 16 and 18 show that the simulated XANES and EXAFS spectrum based on our model agrees well with the experimental results, indicating that this structure is the most likely actual structure. A series of other possible structures were also considered, but the comparison between the simulated spectra and the experimental EXAFS and XANES results is quite unsatisfactory (Supplementary Figures 17 and 19), confirming this structure is the most likely actual structure. Combining the EXAFS fitting and the XANES simulations, the atomic structure of the Fe2/mpg-C3N4 sample can be revealed. The structure of Fe2/mpg-C3N4 was further identified by first-principles calculations (Fig. 2c, insets and Supplementary Figure 20). Here, Fe atoms are anchored by two N atoms in the graphitic carbon nitride framework. The two Fe atoms are slightly oxidized, connecting with two and one O atoms, respectively. The Fe–Fe bond length was calculated to be 2.40 Å, while it is around 2.2 Å without the presence of O atoms. Bader charge analysis revealed that the two Fe atoms possess positive charges of 1.32 and 1.00, respectively. The information based on DFT calculations agrees very well with results from the XAFS spectrum.

Fig. 2
figure2

X-ray absorption analysis of Fe K-edge. a XANES spectra at the Fe k-edge of Fe2/mpg-C3N4, Fe2O3, and Fe foil. b Fourier transform (FT) at the Fe k-edge of Fe2/mpg-C3N4, Fe2O3, and Fe foil. c, d Corresponding fits of the EXAFS spectrum of Fe2/mpg-C3N4 at R space and k space, respectively. The inset of c is the schematic model of Fe2/mpg-C3N4 (Fe cyan, O red, N blue, and C gray)

Epoxidation of trans-stilbene to trans-stilbene oxide

We next investigated the catalytic properties of the as-prepared Fe2/mpg-C3N4 sample for epoxidation reactions. We chose trans-stilbene as the alkene reactant because of its non-volatility as well as the product stability for a reliable determination of conversion, yield, and selectivity using gas chromatography. Using molecular O2 as the oxidant and without any additives, the Fe2/mpg-C3N4 sample shows unique and superior catalytic performance toward the epoxidation.

As shown in Fig. 3a, we achieved conversion of 91% and selectivity of 93% after 24 h. It is one of the best results for the epoxidation of trans-stilbene to trans-stilbene oxide using Fe-based catalysts, employing O2 as the oxidant without any additive. When bare mpg-C3N4, iron porphyrin, or Fe nanoparticle (ca. 3 nm)/mpg-C3N4 were used (Supplementary Figures 21, 22), the trans-stilbene oxide product was almost undetectable under the same condition, uncovering the unique performance of the diatomic clusters. Single-atom catalysts have attracted much interest because of their remarkable catalytic activity, selectivity, and 100% atom utilization33,34,35,36. To further demonstrate the unique performance of Fe2/mpg-C3N4, we synthesized the single-atom Fe1/mpg-C3N4 sample for comparison. HAADF-STEM, AC HAADF-STEM, and XAFS (Supplementary Figures 23, 24) have confirmed that the as-prepared material contains only single atoms of Fe. When such sample was used, only trace amounts of trans-stilbene oxide product were obtained, confirming the unique and superior performance of the diatomic clusters. The performance of the Fe2 clusters is also compared with that of other known catalysts. Noble metal nanoparticles (such as Ru, Rh, Pd, Au, and Pt) have been demonstrated to be good catalysts for epoxidation37,38. Herein, we synthesized a series of noble metal nanoparticles (Supplementary Figures 2529). Supplementary Table 2 shows that the activity of Fe2/mpg-C3N4 is much better than all the metal nanoparticles. We then collected the Fe2/mpg-C3N4 catalyst after the reaction and reused it in the next round of epoxidation reaction. After 15 cycles, the Fe2/mpg-C3N4 sample still maintains its pore structure and exhibits robust recycling capability with well-retained activity and selectivity (Fig. 3b). The unchanged structures as fresh samples identified by HAADF-STEM and AC HAADF-STEM images further corroborate the stability of the catalyst (Supplementary Figure 30).

Fig. 3
figure3

Epoxidation of trans-stilbene. a Catalytic epoxidation of trans-stilbene using different catalysts. b Recycle of Fe2/mpg-C3N4 for catalytic epoxidation of trans-stilbene. c Energy profile (unit: eV) for the trans-stilbene epoxidation at the Fe2O2 site. d Consumption and regeneration of the active one-coordinated oxygen species

First-principles calculations were performed to explore the underlying reasons for the unique catalytic properties of Fe2/mpg-C3N4. In Fig. 3c, the energy profile for the epoxidation of trans-stilbene at the Fe2O2 site is shown. We found that the alkene molecule first approaches the Fe2/mpg-C3N4 catalyst via a non-planar configuration, where van der Waals interactions play an important role in the adsorption. Then, the molecule connects to the one-coordinated oxygen atom through one of the two carbon atoms in the C=C double bond, bringing about an intermediate state (Supplementary Figure 31) that controls the selectivity of alkene epoxidation39,40,41. After that, the other carbon atom is bonded to the one-coordinated oxygen atom, leading to the formation of the epoxidized product. Such process merely needs to overcome an energy increase of 0.73 eV. It is worth noting that the value is much lower than the energy barrier of 1.40 eV, which corresponds to a competitive pathway toward the formation of combustion products39,40,41. In the above process, only the one-coordinated oxygen atoms are active and play an important role, whereas the two-coordinated ones behave as bystanders. It is interesting to find that once one active oxygen species is consumed in the alkene epoxidation, two more one-coordinated oxygen atoms can be generated via O2 dissociation at the Fe2O site (Supplementary Figure 32). The O2 dissociation involves the formation of a highly activated molecular precursor and a significant energy release of 3.32 eV, which makes it a very facile process. In Fig. 3d, we schematically present the consumption and regeneration of the active oxygen species. Here, the catalytic activity and selectivity of the produced Fe2O3 are quite similar as those of Fe2O2, with the corresponding epoxidation profile shown in Supplementary Figure 33.

The striking difference in the catalytic activity of Fe2/mpg-C3N4, Fe nanoparticles, and iron porphyrin is attributed to the variation of the interaction strength between O2 molecules and the corresponding Fe species. For a good catalytic performance, such interaction should be neither too strong nor too weak42,43. On Fe nanoparticles, the interaction between their surface layers and the oxygen reactants is very strong44,45, producing tightly bound oxygen atoms that can hardly participate in the epoxidation reaction. Regarding the iron porphyrin, by contrast, the interaction of O2 with the embedded single Fe atom is too weak and only molecular adsorption is possible (Supplementary Figure 34). The bond length of 1.30 Å in the adsorbate, compared with that of 1.24 Å in isolated O2, demonstrates that such molecule has not been well activated. Thus, neither Fe nanoparticles nor iron porphyrin can generate the active oxygen species as in the case of the Fe2/mpg-C3N4 catalyst.

Synthesis and characterization of other TM2/mpg-C3N4 samples

Some other transition-metal (for example, TM = Pd, Ir) clusters were produced using the same scheme, which demonstrates the general applicability of the approach for synthesizing diatomic clusters (Supplementary Figures 3536). In the AC HAADF-STEM images (Fig. 4c, f, inset), a large proportion of bright double dots was observed in the regions tagged by white circles, indicating the existence of isolated metallic dimers in TM2/mpg-C3N4. EXAFS spectrum was further used to confirm the as-obtained TM2/mpg-C3N4 samples (Fig. 4a–f, Supplementary Figures 3742, and Supplementary Table 3). In the FT k3-weighted EXAFS spectrum shown in Fig. 4b, e, the first strong FT curves of TM k-edge in TM2/mpg-C3N4 show peaks at 1.45 Å for Pd2/mpg-C3N4 and 1.63 Å for Ir2/mpg-C3N4 (before phase shift correction), indicating that TM2/mpg-C3N4 is mainly comprised of the TM–N coordination path. Similarly, a secondary peak at high R value (2.35 Å for Pd2/mpg-C3N4 and 2.49 Å for Ir2/mpg-C3N4) was found, which demonstrates that metal–metal path should also be accounted for as in the case of Fe2/mpg-C3N4.

Fig. 4
figure4

Characterization of other TM2/mpg-C3N4 clusters. a XANES spectra at the Pd k-edge of Pd2/mpg-C3N4, PdO, and Pd foil. b Fourier transform (FT) at the Pd k-edge of Pd2/mpg-C3N4, PdO, and Pd foil. c Corresponding fits of the EXAFS spectrum of Pd2/mpg-C3N4 at R space. The inset of (c) is the AC HADDF-STEM of Pd2/mpg-C3N4, scale bar, 1 nm. d XANES spectra at the Ir L3-edge of Ir2/mpg-C3N4, IrO2, and Ir powder. e Fourier transform at the Ir L3-edge of Ir2/mpg-C3N4, IrO2, and Ir powder. f Corresponding fits of the EXAFS spectrum of Ir2/mpg-C3N4 at R space. The inset of (f) is the AC HADDF-STEM of Ir2/mpg-C3N4, scale bar, 1 nm

Discussion

In summary, we have developed a “precursor-preselected” wet-chemistry strategy to synthesize Fe2 clusters supported on mpg-C3N4, whose structures are identified using AC-STEM, XAFS, and first-principles calculations. By employing molecular oxygen as the oxidant and in the absence of aldehyde as co-reagent, the as-prepared Fe2/mpg-C3N4 sample exhibits unique and superior catalytic performance toward alkene epoxidation. By contrast, iron porphyrin, single-atom Fe, and small Fe nanoparticles are nearly reactively inert. First-principles calculations reveal that the unique reactivity of Fe2 comes from the formation of active oxygen species. Our scheme can be applied toward producing other diatomic clusters and establishes a substantial foundation for further studies of atomically precise sub-nano catalysts.

Methods

Preparation of mpg-C3N4

A method was used according to a previous report with a tiny modification. Aliquot of 5 g of cyanamide and 12.5 g of colloidal silica Ludox HS-40 are mixed together until complete dissolution of cyanamide. The mixture was heated in an oil bath at 100 °C upon stirring for ca. 3 h until removal of water and formation of a white solid. The powder was then grounded in a mortar, transferred into a crucible, and heated under air at 2.3 °C min−1 (4 h) up to 550 °C and then treated at 550 °C for 4 h. The as-obtained yellow powder was grounded in a mortar and then treated under stirring for 2 days in an NH4HF2 4 mol L−1 solution. The dispersion was then filtered, the precipitate washed with distilled water and ethanol. After filtering, the yellow compound is dried under vacuum at 100 °C overnight.

Synthesis of Fe2/mpg-C3N4

In a typical synthesis of Fe2/mpg-C3N4, 5 mg bis(dicarbonylcyclopentadienyliron) (Fe2O4C14H10) and mpg-C3N4 (500 mg) were dissolved in the DMF (100 mL) under stirring at room temperature for 24 h. The product was separated by centrifugation at 10,000 rpm for 5 min and washed subsequently with DMF for once, then washed with methanol for once and finally dried under vacuum at room temperature. The as-prepared powder was transferred into a ceramic broth and then placed into a tube furnace maintaining 300 °C for 2 h under flowing mixture of 5% H2/Ar atmosphere with a heating rate of 5 °C min−1. When the temperature is above 250 °C, thermogravimetric analysis (TGA) shows a weight loss of 30.8 wt%, similar to the theoretical loss of 31.5 wt% according to the formula when the ligand is removed completely (Supplementary Figure 43). Therefore, we chose 300 °C to thoroughly remove the organic ligands. The Fe loading is 0.15% determined by ICP-AES analysis.

XAFS measurements and analysis

The X-ray absorption fine structure spectra data (Fe k-edge and Ir L3-edge) were collected at 1W1B station in Beijing Synchrotron Radiation Facility (BSRF, operated at 2.5 GeV with a maximum current of 250 mA). The X-ray absorption fine structure spectra data (Pd k-edge) were collected at 14W1 station in Shanghai Synchrotron Radiation Facility (SSRF, 3.5 GeV, 250 mA). The data were collected in fluorescence excitation mode using a Lytle detector. All samples were pelletized as disks of 13 mm diameter with 1 mm thickness using graphite powder as a binder. Using the ATHENA module in the IFEFFIT packages, we processed the acquired EXAFS data following the standard procedures. After the subtraction of the post-edge background and normalization, the EXAFS spectra was obtained. Then, the χ(k) data were transformed to R space. Using the ARTEMIS module, we obtained the quantitative structural parameters via a least-squares curve parameter fitting method.

Typical procedure for the epoxidation of trans-stilbene

In this typical reaction, trans-stilbene (90.12 mg, 0.50 mmol), Fe2/mpg-C3N4, iron porphyrin, or Fe nanoparticle/mpg-C3N4 (ca. 3 nm) (0.50 µmol Fe) and DMAC (5 mL) were mixed in a 20 mL of Schlenk tube. Then, we used an oil pump to remove the air in the tube. An O2 balloon was used to blow about 1 atm O2. Finally, the reaction vessel was heated in a silicon oil bath at 90 °C. The mixture was stirred at this temperature for 24 h. The products were identified by gas chromatography (GC).

Computational details

The mpg-C3N4 framework was simulated by a graphitic carbon nitride (g-C3N4) monolayer that exhibits a corrugated non-planar configuration. We adopted its optimized lattice constant of 6.937 Å and constructed a hexagonal 2 × 2 unit cell accordingly (Supplementary Figure 16). An Fe2 dimer with different numbers of O atoms was deposited at various locations on the g-C3N4 substrate, in order to carry out an extensive structural exploration.

Spin-polarized density functional theory calculations were performed based on the projector-augmented-wave (PAW) approach46, utilizing the Vienna ab initio simulation package (VASP)47,48. The energy cutoff of the plane-waves basis set to 500 eV. The exchange-correlation interactions were described by the optPBE-vdW functional49,50. The first Brillouin zone was sampled using a 3 × 3 × 1 Monkhorst–Pack grid51. Structural relaxations were performed until the maximum residual force on each atom was <0.02 eV Å−1. The transition state was located using the climbing image nudged elastic band method52 with a force criterion of 0.05 eV Å−1. A dipole correction to the total energies was applied along the vertical direction. Bader charge analysis was carried out with core charges included in the partitions53. All structures were visualized using the program VESTA54.

Data availability

The data supporting this study are available from the authors on reasonable request.

References

  1. 1.

    Kaden, W. E., Wu, T., Kunkel, W. A. & Anderson, S. L. Electronic structure controls reactivity of size-selected Pd clusters adsorbed on TiO2 surfaces. Science 326, 826–829 (2009).

    ADS  Article  PubMed  CAS  Google Scholar 

  2. 2.

    Vajda, S. et al. Subnanometre platinum clusters as highly active and selective catalysts for the oxidative dehydrogenation of propane. Nat. Mater. 8, 213–216 (2009).

    ADS  Article  PubMed  CAS  Google Scholar 

  3. 3.

    Lopez-Acevedo, O., Kacprzak, K. A., Akola, J. & Hakkinen, H. Quantum size effects in ambient CO oxidation catalysed by ligand-protected gold clusters. Nat. Chem. 2, 329–334 (2010).

    Article  PubMed  CAS  Google Scholar 

  4. 4.

    Corma, A. et al. Exceptional oxidation activity with size-controlled supported gold clusters of low atomicity. Nat. Chem. 5, 775–781 (2013).

    Article  PubMed  CAS  Google Scholar 

  5. 5.

    Nesselberger, M. et al. The effect of particle proximity on the oxygen reduction rate of size-selected platinum clusters. Nat. Mater. 12, 919–924 (2013).

    ADS  Article  PubMed  CAS  Google Scholar 

  6. 6.

    Guan, H. et al. Catalytically active Rh sub-nanoclusters on TiO2 for CO oxidation at cryogenic temperatures. Angew. Chem. Int. Ed. 55, 2820–2824 (2016).

    Article  CAS  Google Scholar 

  7. 7.

    Luo, Z., Castleman, A. W. Jr. & Khanna, S. N. Reactivity of metal clusters. Chem. Rev. 116, 14456–14492 (2016).

    Article  PubMed  CAS  Google Scholar 

  8. 8.

    Liu, Y. et al. Coupling sub-nanometric copper clusters with quasi-amorphous cobalt sulfide yields efficient and robust electrocatalysts for water splitting reaction. Adv. Mater. 29, 1606200 (2017).

    Article  CAS  Google Scholar 

  9. 9.

    Chen, Z., Li, J., Li, S. & Wang, L.-W. Glass-like energy and property landscape of Pt nanoclusters. Nano Res. 10, 2721–2731 (2017).

    Article  CAS  Google Scholar 

  10. 10.

    Turner, M. et al. Selective oxidation with dioxygen by gold nanoparticle catalysts derived from 55-atom clusters. Nature 454, 981–985 (2008).

    ADS  Article  PubMed  CAS  Google Scholar 

  11. 11.

    Lei, Y. et al. Increased silver activity for direct propylene epoxidation via subnanometer size effects. Science 328, 224–228 (2010).

    ADS  Article  PubMed  CAS  Google Scholar 

  12. 12.

    Tyo, E. C. & Vajda, S. Catalysis by clusters with precise numbers of atoms. Nat. Nanotechnol. 10, 577–588 (2015).

    ADS  Article  PubMed  CAS  Google Scholar 

  13. 13.

    Crampton, A. S. et al. Controlling ethylene hydrogenation reactivity on Pt13 clusters by varying the stoichiometry of the amorphous silica support. Angew. Chem. Int. Ed. 55, 8953–8957 (2016).

    Article  CAS  Google Scholar 

  14. 14.

    Li, X. N., Zhang, H. M., Yuan, Z. & He, S. G. A nine-atom rhodium-aluminum oxide cluster oxidizes five carbon monoxide molecules. Nat. Commun. 7, 11404 (2016).

    ADS  Article  PubMed  PubMed Central  CAS  Google Scholar 

  15. 15.

    Fortea-Perez, F. R. et al. The MOF-driven synthesis of supported palladium clusters with catalytic activity for carbene-mediated chemistry. Nat. Mater. 16, 760–766 (2017).

    ADS  PubMed  CAS  Google Scholar 

  16. 16.

    Ji, S. et al. Confined pyrolysis within metal-organic frameworks to form uniform Ru3 clusters for efficient oxidation of alcohols. J. Am. Chem. Soc. 139, 9795–9798 (2017).

    Article  PubMed  CAS  Google Scholar 

  17. 17.

    Hakkinen, H. The gold-sulfur interface at the nanoscale. Nat. Chem. 4, 443–455 (2012). 1352.

    Article  PubMed  CAS  Google Scholar 

  18. 18.

    Lv, C. et al. Pd3 cluster catalysis: compelling evidence from in operando spectroscopic, kinetic, and density functional theory studies. Nano Res. 9, 2544–2550 (2016).

    Article  CAS  Google Scholar 

  19. 19.

    Kwak, K. et al. A molecule-like PtAu24(SC6H13)18 nanocluster as an electrocatalyst for hydrogen production. Nat. Commun. 8, 14723 (2017).

    ADS  Article  PubMed  PubMed Central  Google Scholar 

  20. 20.

    Ortalan, V., Uzun, A., Gates, B. C. & Browning, N. D. Direct imaging of single metal atoms and clusters in the pores of dealuminated HY zeolite. Nat. Nanotechnol. 5, 506–510 (2010).

    ADS  Article  PubMed  CAS  Google Scholar 

  21. 21.

    Uzun, A., Dixon, D. A. & Gates, B. C. Prototype supported metal cluster catalysts: Ir4 and Ir6. ChemCatChem 3, 95–107 (2011).

    Article  CAS  Google Scholar 

  22. 22.

    Bitterlich, B. et al. Development of a general and efficient iron-catalyzed epoxidation with hydrogen peroxide as oxidant. Chem. Asian J. 2, 521–529 (2007).

    Article  PubMed  CAS  Google Scholar 

  23. 23.

    Chen, L., Yang, Y., Guo, Z. & Jiang, D. Highly efficient activation of molecular oxygen with nanoporous metalloporphyrin frameworks in heterogeneous systems. Adv. Mater. 23, 3149–3154 (2011).

    Article  PubMed  CAS  Google Scholar 

  24. 24.

    Cusso, O., Garcia-Bosch, I., Ribas, X., Lloret-Fillol, J. & Costas, M. Asymmetric epoxidation with H2O2 by manipulating the electronic properties of non-heme iron catalysts. J. Am. Chem. Soc. 135, 14871–14878 (2013).

    Article  PubMed  CAS  Google Scholar 

  25. 25.

    Neumann, R. & Dahan, M. Aruthenium-substituted polyoxometalate as an inorganic dioxygenase for activation of molecular oxygen. Nature 388, 353–355 (1997).

    ADS  Article  CAS  Google Scholar 

  26. 26.

    Nishiyama, Y., Nakagawa, Y. & Mizuno, N. High turnover numbers for the catalytic selective epoxidation of alkenes with 1 atm of molecular oxygen. Angew. Chem. Int. Ed. 40, 3639–3641 (2001).

    Article  CAS  Google Scholar 

  27. 27.

    Goettmann, F., Fischer, A., Antonietti, M. & Thomas, A. Chemical synthesis of mesoporous carbon nitrides using hard templates and their use as a metal-free catalyst for Friedel-Crafts reaction of benzene. Angew. Chem. Int. Ed. 45, 4467–4471 (2006).

    Article  CAS  Google Scholar 

  28. 28.

    Yan, S. C., Li, Z. S. & Zou, Z. G. Photodegradation performance of g-C3N4 fabricated by directly heating melamine. Langmuir 25, 10397–10401 (2009).

    Article  PubMed  CAS  Google Scholar 

  29. 29.

    Xiang, Q., Yu, J. & Jaroniec, M. Preparation and enhanced visible-light photocatalytic H2-production activity of graphene/C3N4 composites. J. Phys. Chem. C. 115, 7355–7363 (2011).

    Article  CAS  Google Scholar 

  30. 30.

    Kulkarni, A., Chi, M., Ortalan, V., Browning, N. D. & Gates, B. C. Atomic resolution of the structure of a metal-support interface: triosmium clusters on MgO(110). Angew. Chem. Int. Ed. 49, 10089–10092 (2010).

    Article  CAS  Google Scholar 

  31. 31.

    Li, Z. Y. et al. Three-dimensional atomic-scale structure of size-selected gold nanoclusters. Nature 451, 46–48 (2008).

    Article  PubMed  CAS  Google Scholar 

  32. 32.

    Sun, Z., Liu, Q., Yao, T., Yan, W. & Wei, S. X-ray absorption fine structure spectroscopy in nanomaterials. Sci. China Mater. 58, 313–341 (2015).

    Article  CAS  Google Scholar 

  33. 33.

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

    Article  PubMed  CAS  Google Scholar 

  34. 34.

    Liu, J. Catalysis by supported single metal atoms. ACS Catal. 7, 34–59 (2017).

    Article  CAS  Google Scholar 

  35. 35.

    Zhang, M. et al. Metal (Hydr)oxides@polymer core-shell strategy to metal single-atom materials. J. Am. Chem. Soc. 139, 10976–10979 (2017).

    Article  PubMed  CAS  Google Scholar 

  36. 36.

    Zhu, C., Fu, S., Shi, Q., Du, D. & Lin, Y. Single-atom electrocatalysts. Angew. Chem. Int. Ed. 56, 13944–13960 (2017).

    Article  CAS  Google Scholar 

  37. 37.

    Noh, J.-H., Patala, R. & Meijboom, R. Catalytic evaluation of dendrimer and reverse microemulsion template Pd and Pt nanoparticles for the selective oxidation of styrene using TBHP. Appl. Catal. A Gen. 514, 253–266 (2016).

    Article  CAS  Google Scholar 

  38. 38.

    Liu, B. et al. Au–carbon electronic interaction mediated selective oxidation of styrene. ACS Catal. 7, 3483–3488 (2017).

    Article  CAS  Google Scholar 

  39. 39.

    Linic, S. & Barteau, M. A. Formation of a stable surface oxametallacycle that produces ethylene oxide. J. Am. Chem. Soc. 124, 310–317 (2002).

    Article  PubMed  CAS  Google Scholar 

  40. 40.

    Linic, S. Construction of a reaction coordinate and a microkinetic model for ethylene epoxidation on silver from DFT calculations and surface science experiments. J. Catal. 214, 200–212 (2003).

    Article  CAS  Google Scholar 

  41. 41.

    Linic, S. & Barteau, M. A. Control of ethylene epoxidation selectivity by surface oxametallacycles. J. Am. Chem. Soc. 125, 4034–4035 (2003).

    Article  PubMed  CAS  Google Scholar 

  42. 42.

    Nørskov, J. K., Bligaard, T., Rossmeisl, J. & Christensen, C. H. Towards the computational design of solid catalysts. Nat. Chem. 1, 37–46 (2009).

    Article  PubMed  CAS  Google Scholar 

  43. 43.

    Nørskov, J. K., Studt, F., Abild-Pedersen, F. & Bligaard, T. Fundamental Concepts in Heterogeneous Catalysis (John Wiley & Sons, Inc., New Jersey, 2014). 3.

    Google Scholar 

  44. 44.

    Linderoth, S., Mørup, S. & Bentzon, M. D. Oxidation of nanometer-sized iron particles. J. Mater. Sci. 30, 3142–3148 (1995).

    ADS  Article  CAS  Google Scholar 

  45. 45.

    Giri, S., Ganguli, S. & Bhattacharya, M. Surface oxidation of iron nanoparticles. Appl. Surf. Sci. 182, 345–349 (2001).

    ADS  Article  CAS  Google Scholar 

  46. 46.

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

    ADS  Article  Google Scholar 

  47. 47.

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

    Article  CAS  Google Scholar 

  48. 48.

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

    ADS  Article  CAS  Google Scholar 

  49. 49.

    Dion, M., Rydberg, H., Schröder, E., Langreth, D. C. & Lundqvist, B. I. Van der Waals density functional for general geometries. Phys. Rev. Lett. 92, 246401 (2004).

    ADS  Article  PubMed  CAS  Google Scholar 

  50. 50.

    Klimeš, J., Bowler, D. R. & Michaelides, A. Chemical accuracy for the van der Waals density functional. J. Phys. Condens. Matter 22, 022201 (2010).

    ADS  Article  PubMed  CAS  Google Scholar 

  51. 51.

    Monkhorst, H. J. & Pack, J. D. Special points for Brillouin-zone integrations. Phys. Rev. B 13, 5188–5192 (1976).

    ADS  MathSciNet  Article  Google Scholar 

  52. 52.

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

    ADS  Article  CAS  Google Scholar 

  53. 53.

    Tang, W., Sanville, E. & Henkelman, G. A grid-based Bader analysis algorithm without lattice bias. J. Phys. Condens. Matter 21, 084204 (2009).

    ADS  Article  PubMed  CAS  Google Scholar 

  54. 54.

    Momma, K. & Izumi, F. VESTA 3 for three-dimensional visualization of crystal, volumetric and morphology data. J. Appl. Cryst. 44, 1272–1276 (2011).

    Article  CAS  Google Scholar 

Download references

Acknowledgements

This work was supported by China Ministry of Science and Technology under Contract of 2016YFA (0202801), the National Natural Science Foundation of China (21521091, 21390393, U1463202, 21471089, and 21671117). Q.F. and C.D. acknowledge support from the German Research Foundation (DFG) and the European Union’s Horizon 2020 research and innovation programme, Grant Agreement No. 676580 through the Center of Excellence NOMAD. Q.F. thanks supports from the Fundamental Research Funds of Shandong University (2018TB006). This work made use of the resources support of National Synchrotron Radiation Laboratory in Beijing and Shanghai.

Author information

Affiliations

Authors

Contributions

D.W. and Y.L. conceived and designed the research project. S.T. conducted and designed the experiments, analyzed the data, and wrote the paper. Q.F. and C.D. conducted the first-principles simulations and contributed to the writing of the paper. W.C. completed the XAFS characterization and corresponding data analysis. J.D. analyzed XANES data. Q.F., C.C., and Q.P. helped to analyze the data. L.G., R.Y., and J.L. provided spherical-aberration-corrected TEM techniques. Z.C. and J.Z. assisted to carry out the catalytic experiments. W.C. conducted HAAD-STEM. All authors contributed to the preparation of the manuscript.

Corresponding author

Correspondence to Dingsheng Wang.

Ethics declarations

Competing interests

The authors declare no competing interests.

Additional information

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

Electronic supplementary material

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Cite this article

Tian, S., Fu, Q., Chen, W. et al. Carbon nitride supported Fe2 cluster catalysts with superior performance for alkene epoxidation. Nat Commun 9, 2353 (2018). https://doi.org/10.1038/s41467-018-04845-x

Download citation

Further reading

Comments

By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.

Search

Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing