Communication
ChemComm
H2 evolution on the catalysts were also calculated to be 0.72 and References
1.65 eV for Fe–CB and Ni–CB, respectively. Although Fe–CB is a
1 M. Robert, ACS Energy Lett., 2016, 1, 281–282.
better catalyst for H2 evolution than Ni–CB, its low energy barrier for
*COOH generation ensures the excellent selectivity for CO evolution
even in the presence of CdS, which is also a good photocatalyst for
H2 evolution (Fig. 3b).22
2 X. Li, J. Yu, M. Jaroniec and X. Chen, Chem. Rev., 2019, 119,
3962–4179.
3 X. Li, Y. Sun, J. Xu, Y. Shao, J. Wu, X. Xu, Y. Pan, H. Ju, J. Zhu and
Y. Xie, Nat. Energy, 2019, 4, 690–699.
4 Y. Liu, J.-H. Guo, X.-Y. Dao, X.-D. Zhang, Y. Zhao and W.-Y. Sun,
Chem. Commun., 2020, 56, 4110–4113.
To gain more specific insight into the influence of two
different metals in the catalysis, we performed the crystal
orbital Hamilton population (COHP) analysis to confirm the
bonding strength of the two structures (Fig. 4b). The integrated
projected COHP (IpCOHP) summed between Fe–C and Ni–C
bond below the Fermi level in the *COOH structure are À3.09
and À1.84 eV, respectively, indicating more stable coordination
of Fe–C than Ni–C. Besides, the deformation charge density
calculated based on the Bader charge analysis and the calcu-
lated electron density differences revealed that more electrons
transfer from the Fe–N–C to *COOH than Ni–N–C (Fig. 4c and d),
demonstrating that Fe–N–C could promote the electron accumu-
lation in *COOH and facilitate the CO2 reduction.13 Thus, we
conclude that the stronger coordination of *COOH to the Fe
atom is the critical factor that enables the Fe–N–C’s outstanding
catalytic activity. These theoretical results are consistent with
the experiments.
´ `
5 C. Cometto, L. Chen, P.-K. Lo, Z. Guo, K.-C. Lau, E. Anxolabehere-
Mallart, C. Fave, T.-C. Lau and M. Robert, ACS Catal., 2018, 8,
3411–3417.
´
6 S. Ren, D. Joulie, D. Salvatore, K. Torbensen, M. Wang, M. Robert
and C. P. Berlinguette, Science, 2019, 365, 367–369.
7 R. Francke, B. Schille and M. Roemelt, Chem. Rev., 2018, 118,
4631–4701.
8 H. Takeda, C. Cometto, O. Ishitani and M. Robert, ACS Catal., 2016,
7, 70–88.
9 C. S. Diercks, Y. Liu, K. E. Cordova and O. M. Yaghi, Nat. Mater.,
2018, 17, 301–307.
10 C. T. Dinh, F. P. G. de Arquer, D. Sinton and E. H. Sargent,
ACS Energy Lett., 2018, 3, 2835–2840.
11 M. Liu, Y. Pang, B. Zhang, P. De Luna, O. Voznyy, J. Xu, X. Zheng,
C. T. Dinh, F. Fan, C. Cao, F. P. de Arquer, T. S. Safaei, A. Mepham,
A. Klinkova, E. Kumacheva, T. Filleter, D. Sinton, S. O. Kelley and
E. H. Sargent, Nature, 2016, 537, 382–386.
12 J. Gu, C.-S. Hsu, L. Bai, H. M. Chen and X. Hu, Science, 2019, 364,
1091–1094.
13 Y. Li, S. Wang, X. S. Wang, Y. He, Q. Wang, Y. Li, M. Li, G. Yang, J. Yi,
H. Lin, D. Huang, L. Li, H. Chen and J. Ye, J. Am. Chem. Soc., 2020,
142, 19259–19267.
14 Z. Wang, J. Yang, J. Cao, W. Chen, G. Wang, F. Liao, X. Zhou,
F. Zhou, R. Li, Z. Q. Yu, G. Zhang, X. Duan and Y. Wu, ACS Nano,
2020, 14, 6164–6172.
15 T. Zheng, K. Jiang, N. Ta, Y. Hu, J. Zeng, J. Liu and H. Wang, Joule,
2019, 3, 265–278.
16 J.-H. Guo, X.-Y. Zhang, X.-Y. Dao and W.-Y. Sun, ACS Appl. Nano
Mater., 2020, 3, 2625–2635.
17 J.-H. Guo and W.-Y. Sun, Appl. Catal., B, 2020, 275, 119154.
18 F. Pan, H. Zhang, K. Liu, D. Cullen, K. More, M. Wang, Z. Feng,
G. Wang, G. Wu and Y. Li, ACS Catal., 2018, 8, 3116–3122.
19 J. Li, Y. Song, G. Zhang, H. Liu, Y. Wang, S. Sun and X. Guo,
Adv. Funct. Mater., 2017, 27, 1604356.
20 Q. Jia, N. Ramaswamy, H. Hafiz, U. Tylus, K. Strickland, G. Wu,
B. Barbiellini, A. Bansil, E. F. Holby, P. Zelenay and S. Mukerjee,
ACS Nano, 2015, 9, 12496–12505.
21 C. Santoro, R. Gokhale, B. Mecheri, A. D’Epifanio, S. Licoccia, A. Serov,
K. Artyushkova and P. Atanassov, ChemSusChem, 2017, 10, 3243–3251.
22 Q. Li, B. Guo, J. Yu, J. Ran, B. Zhang, H. Yan and J. R. Gong, J. Am.
Chem. Soc., 2011, 133, 10878–10884.
23 M. F. Kuehnel, K. L. Orchard, K. E. Dalle and E. Reisner, J. Am. Chem.
Soc., 2017, 139, 7217–7223.
24 N. Zhang, R. Long, C. Gao and Y. Xiong, Sci. China Mater., 2018, 61,
771–805.
25 Q. Wang, L. Zhang, Y. Guo, M. Shen, M. Wang, B. Li and J. Shi,
Chem. Eng. J., 2020, 396, 125347.
In conclusion, we utilized M–N–C catalysts derived from CB and
metalloporphyrins to construct heterogeneous hybrid catalytic sys-
tems with CdS, delivering highly efficient CO2 photoreduction.
Significantly, the Fe–N–C and CdS hybrid system efficiently catalyzes
the CO2 reduction to CO under visible light irradiation, delivered a
À1
high CO yield of 111 mmol gcat and a large TON of 1.22 Â 103
based on the Fe–N–C catalyst in 8 h with a selectivity of 85% to
outperform most of the current photocatalysis systems. The efficient
performance of the Fe–N–C catalysts results from the strong coordi-
nation between iron and *COOH intermediate that reduces the
energy barrier of the rate-determining step. This effective hybrid
catalytic system provides a new perspective for CO2 photoreduction.
We gratefully acknowledge the National Key Research and
Development Project of China (grant no. 2017YFA0303504) for
financial support of this work. This work was also supported by
a Project Funded by the Priority Academic Program Develop-
ment of Jiangsu Higher Education Institutions. We are grateful
to the High-Performance Computing Center of Nanjing
University for conducting the DFT calculations in this work
on its Flex cluster system.
26 X. F. Xie, X. Y. Dao, F. Guo, X. Y. Zhang, F. M. Wang and W. Y. Sun,
ChemistrySelect, 2020, 5, 4001–4007.
27 Q.-Q. Bi, J.-W. Wang, J.-X. Lv, J. Wang, W. Zhang and T.-B. Lu,
ACS Catal., 2018, 8, 11815–11821.
28 C. Bie, B. Zhu, F. Xu, L. Zhang and J. Yu, Adv. Mater., 2019,
31, 1902868.
Conflicts of interest
There are no conflicts to declare.
2036 | Chem. Commun., 2021, 57, 2033À2036
This journal is The Royal Society of Chemistry 2021