Metal Nanoparticles Confined within an Inorganic–Organic Framework Enable Superior Substrate-Selective Catalysis
Source abstract
Abstract
The search for catalysts with a perfect substrate selectivity toward the hydrogenation of nitroarenes is a goal of high importance, which still remains a significant challenge. Here, we designed a new type of catalyst with superior substrate selectivity by combining a space-confined effect and a hydrogen-bonding network, in which metal nanoparticles (MNPs) were confined in hierarchical hollow silica (HHS) with a poly(N-isopropylacrylamide) (PNIPA) coating. Given the strong induced properties of hydrogen-bond donors and acceptors in the HHS support and PNIPA coating, the as-synthesized catalyst would achieve perfect substrate selectivity for the hydrogenation of various nitroarenes and their mixture by thoroughly impeding the reduction of nitroarenes with any hydroxyl or carboxyl groups, which is typically very difficult to be realized over almost all of the reported supported-metal catalysts. Notably, the hydrogenation of nitroarenes can produce almost quantitative yields of anilines over the as-synthesized catalyst. Furthermore, density functional theory and experimental evidence are also provided for the hierarchical structure of HHS and PNIPA coating associated with substrates to demonstrate how a substrate could have access or be blocked into the confined active centers (MNPs). Therefore, this work would open a new window to design efficient catalysts for a wide variety of substrate-selective catalyses.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Nanomaterials for catalytic reactions · Nanocluster Synthesis and Applications · Advanced Photocatalysis Techniques
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Materials Science and Engineering, Institute for Energy Research, Jiangsu University, Zhenjiang 212013, P. R. China
Wuhan Institute of Physics and Mathematics, Chinese Academy of Sciences, Wuhan 430071, P. R. China
Department of Chemical and Environmental Engineering, University of Cincinnati, Cincinnati, Ohio 45221, United States
Funding
Government of Jiangsu Province · Six Talent Peaks Project in Jiangsu Province · National Natural Science Foundation of China
References (52)
Show source-provided references
1. 10.1002/ange.20161073610.1002/ange.201610736 ↗
2. 10.1038/ncomms663410.1038/ncomms6634 ↗
3. 10.1002/anie.20160402610.1002/anie.201604026 ↗
4. 10.1021/acs.chemmater.6b0112810.1021/acs.chemmater.6b01128 ↗
5. 10.1126/science.aaa716910.1126/science.aaa7169 ↗
6. 10.1002/anie.20160242910.1002/anie.201602429 ↗
7. 10.1038/nature1976310.1038/nature19763 ↗
8. 10.1016/j.matt.2019.05.01810.1016/j.matt.2019.05.018 ↗
9. 10.1002/anie.20180055710.1002/anie.201800557 ↗
10. 10.1002/adfm.20150298010.1002/adfm.201502980 ↗
11. 10.1021/acs.chemrev.7b0073810.1021/acs.chemrev.7b00738 ↗
12. 10.1021/acscatal.6b0222310.1021/acscatal.6b02223 ↗
13. 10.1002/anie.20180139710.1002/anie.201801397 ↗
14. 10.1039/C2CS35330J10.1039/C2CS35330J ↗
15. 10.1002/adfm.20120179310.1002/adfm.201201793 ↗
16. 10.1039/C7TA04187J10.1039/C7TA04187J ↗
17. 10.1021/cs501349b10.1021/cs501349b ↗
18. 10.1021/acs.chemmater.8b0240310.1021/acs.chemmater.8b02403 ↗
19. 10.1002/anie.20130049610.1002/anie.201300496 ↗
20. 10.1016/j.jhazmat.2018.04.04710.1016/j.jhazmat.2018.04.047 ↗
21. 10.1016/j.cej.2019.12258310.1016/j.cej.2019.122583 ↗
22. 10.1021/acsami.7b0877610.1021/acsami.7b08776 ↗
23. 10.1021/ja513133710.1021/ja5131337 ↗
24. 10.1021/acscatal.7b0212810.1021/acscatal.7b02128 ↗
25. 10.1021/acscatal.8b0374410.1021/acscatal.8b03744 ↗
26. 10.1016/j.cej.2019.02.12310.1016/j.cej.2019.02.123 ↗
27. 10.1021/acs.chemmater.6b0220910.1021/acs.chemmater.6b02209 ↗
28. 10.1126/science.124200510.1126/science.1242005 ↗
29. 10.1038/s41467-018-03810-y10.1038/s41467-018-03810-y ↗
30. 10.1002/anie.20170393810.1002/anie.201703938 ↗
31. 10.1021/acscatal.8b0209110.1021/acscatal.8b02091 ↗
32. 10.1021/acsomega.9b0288710.1021/acsomega.9b02887 ↗
33. 10.1038/ncomms1136810.1038/ncomms11368 ↗
34. 10.1021/ja411822s10.1021/ja411822s ↗
35. 10.1016/j.mcat.2019.04.00810.1016/j.mcat.2019.04.008 ↗
36. 10.1016/j.mcat.2020.11083810.1016/j.mcat.2020.110838 ↗
37. 10.1021/jacs.6b0417510.1021/jacs.6b04175 ↗
38. 10.1007/s00894-015-2587-310.1007/s00894-015-2587-3 ↗
39. 10.1016/j.cej.2020.12503610.1016/j.cej.2020.125036 ↗
40. 10.1002/anie.20110651510.1002/anie.201106515 ↗
41. 10.1039/C6CS00748A10.1039/C6CS00748A ↗
42. 10.1038/ncomms417010.1038/ncomms4170 ↗
43. 10.1002/adma.20140062010.1002/adma.201400620 ↗
44. 10.1016/j.apcatb.2019.11788810.1016/j.apcatb.2019.117888 ↗
45. 10.1002/anie.20150697210.1002/anie.201506972 ↗
46. 10.1002/adfm.20180374610.1002/adfm.201803746 ↗
47. 10.1002/anie.20150806010.1002/anie.201508060 ↗
48. 10.1126/science.aad886510.1126/science.aad8865 ↗
49. 10.1002/anie.20170004910.1002/anie.201700049 ↗
50. 10.1002/chem.20150268710.1002/chem.201502687 ↗
51. 10.1021/acs.chemrev.8b0019310.1021/acs.chemrev.8b00193 ↗
52. 10.1002/advs.20190005410.1002/advs.201900054 ↗