J Po lue ran sael od fo Mn aot te rai ad l js u Cs ht emm ai rs gt ri yn sA
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ARTICLE
Journal Name
On the basis of the above results, a possible reaction pathway Nanjing University for conducting the DFT calculation in this
DOI: 10.1039/D0TA10278D
of visible-light-driven CO
proposed. Compared with MIL-101(Fe), MIL-100(Fe) not only
possesses superior CO adsorption capacity because there are
more interaction sites on the surface, but also displays
acceleration of electron transfer owing to the closely packed
structure units. In addition, the flat-band potentials of MIL-
2
photoreduction over MIL-100(Fe) was work on its Flex cluster system.
2
Notes and references
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00(Fe) and MIL-101(Fe) satisfy the thermodynamic demand for
the CO transformation into CH . Upon visible-light irradiation,
the photogenerated electrons migrate to the surface of the
catalysts, where the adsorbed CO captures electron to form
COOH. Then, adsorbed COads may form after proton-electron
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*
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In summary, the Fe-based MOF MIL-100(Fe) exhibits superior
reactivity for CO
More importantly, MIL-100(Fe) achieves outstanding activity
and high selectivity for CH formation. Meanwhile, the ligand
2
photoreduction compared with MIL-101(Fe).
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7
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Conflicts of interest
There are no conflicts to declare.
28 X. K. Wang, J. Liu, L. Zhang, L. Z. Dong, S. L. Li, Y. H. Kan, D. S.
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Acknowledgements
We gratefully acknowledge the National Basic Research
Program of China (grant no. 2017YFA0303504) and the
Fundamental Research Funds for the Central Universities (grant
2
0 N. Sadeghi, S. Sharifnia, M. Sheikh Arabi, J. CO Util. 2016, 16,
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1 H. Zhang, J. Wei, J. Dong, G. Liu, L. Shi, P. An, G. Zhao, J. Kong,
X. Wang, X. Meng, J. Zhang, J. Ye, Angew. Chem. Int. Ed. 2016,
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no. 14380232) for financial support of this work. This work was 32 S. L. Xie, J. Liu, L. Z. Dong, S. L. Li, Y. Q. Lan, Z. M. Su, Chem. Sci.
2
019, 10, 185.
also supported by a Project Funded by the Priority Academic
Program Development of Jiangsu Higher Education Institutions.
We are grateful to the High Performance Computing Center of
3
3 Q. Huang, J. Liu, L. Feng, Q. Wang, W. Guan, L. Z. Dong, L.
Zhang, L. K. Yan, Y.Q. Lan, H. C. Zhou, Natl. Sci. Rev. 2019, 7,
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