journal article·2021-12-22

Biotemplated g-C3N4/Au Periodic Hierarchical Structures for the Enhancement of Photocatalytic CO2 Reduction with Localized Surface Plasmon Resonance

Qingtong Wang, Zixi Fang, Xinkun Zhao, Changlin Dong, Yao Li, Cuiping Guo, Qinglei Liu, Fang Song, Wang Zhang

ACS Applied Materials & Interfaces· Volume 13· Issue 50
Publisher page

Abstract

Graphitic carbon nitride (g-C3N4) is a promising photocatalyst for CO2 reduction to alleviate the greenhouse effect. However, the low light absorption, small specific surface area, and rapid charge recombination limit the photocatalytic efficiency of g-C3N4. Herein, we demonstrate a bioinspired nanoarchitecturing strategy to significantly improve the light harvesting and charge separation of the g-C3N4/Au composite, as proven by the remarkable photocatalytic CO2 reduction. Specifically, a biotemplating approach is employed to transfer the sophisticated hierarchical structures and the related light-harvesting functionality of Troides helena butterfly wings to the g-C3N4/Au composite. The resulting g-C3N4/Au composite shows high photocatalytic efficiency under UV–visible excitation with triethanolamine as the sacrificial agent. The yields of CO and CH4 are 331.57 and 39.71 μmol/g/h, respectively, which are ∼36 times and ∼88 times that of pure g-C3N4 under the same conditions. Detailed experiments and the finite-difference time-domain method suggest that the superb photocatalytic activity should be ascribed to the unique periodic hierarchical structure which assists the light absorption and the localized surface plasmon resonance for promoted charge separation in addition to the more effective CO2 diffusion and larger specific surface area. Our work provides a new path for the design and optimization of photocatalysts based on biological structures that are usually unattainable artificially.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Advanced Photocatalysis Techniques · Quantum Dots Synthesis And Properties · Perovskite Materials and Applications

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

State Key Laboratory of Metal Matrix Composites, School of Materials Science and Engineering, Shanghai Jiao Tong University, 800# Dongchuan Rd., Shanghai 200240, People’s Republic of China

Funding

National Natural Science Foundation of China · Shanghai Science and Technology Committee · Key Program for International S&T Cooperation Program of China · National Key Research and Development Program

References (58)

Show source-provided references
1. 10.1038/s41467-020-16227-310.1038/s41467-020-16227-3 ↗
2. 10.1021/jacs.7b0229010.1021/jacs.7b02290 ↗
3. 10.1021/acsami.1c1108110.1021/acsami.1c11081 ↗
4. 10.1021/acscatal.0c0103310.1021/acscatal.0c01033 ↗
5. 10.1021/acsnano.0c0314610.1021/acsnano.0c03146 ↗
6. 10.1016/j.apcatb.2020.11923910.1016/j.apcatb.2020.119239 ↗
7. 10.1002/anie.20201015610.1002/anie.202010156 ↗
8. 10.1021/jacs.7b0026610.1021/jacs.7b00266 ↗
9. 10.1021/acsami.1c1014710.1021/acsami.1c10147 ↗
10. 10.1038/nmat231710.1038/nmat2317 ↗
11. 10.1039/c1jm14312c10.1039/c1jm14312c ↗
12. 10.1016/j.apcatb.2020.11887010.1016/j.apcatb.2020.118870 ↗
13. 10.1021/acsami.7b1750310.1021/acsami.7b17503 ↗
14. 10.1002/anie.20140337510.1002/anie.201403375 ↗
15. 10.1039/c9cy00449a10.1039/c9cy00449a ↗
16. 10.1002/adma.20190463510.1002/adma.201904635 ↗
17. 10.1016/j.apsusc.2020.14789110.1016/j.apsusc.2020.147891 ↗
18. 10.1002/cctc.20140265410.1002/cctc.201402654 ↗
19. 10.1016/j.nanoen.2019.03.01010.1016/j.nanoen.2019.03.010 ↗
20. 10.1002/solr.20200050410.1002/solr.202000504 ↗
21. 10.1126/science.aac544310.1126/science.aac5443 ↗
22. 10.1039/c3ta13845c10.1039/c3ta13845c ↗
23. 10.1002/adfm.20110303210.1002/adfm.201103032 ↗
24. 10.1007/s12274-019-2395-710.1007/s12274-019-2395-7 ↗
25. 10.1038/am.2017.23010.1038/am.2017.230 ↗
26. 10.1021/acsami.0c0670110.1021/acsami.0c06701 ↗
27. 10.1021/acsnano.6b0199910.1021/acsnano.6b01999 ↗
28. 10.1016/j.apcatb.2016.03.06010.1016/j.apcatb.2016.03.060 ↗
29. 10.1016/j.jechem.2020.05.00110.1016/j.jechem.2020.05.001 ↗
30. 10.1002/ange.20150498510.1002/ange.201504985 ↗
31. 10.1016/j.apsusc.2018.01.07110.1016/j.apsusc.2018.01.071 ↗
32. 10.1039/c9ta03253c10.1039/c9ta03253c ↗
33. 10.1016/j.apcatb.2018.07.02110.1016/j.apcatb.2018.07.021 ↗
34. 10.1016/j.cej.2020.12522910.1016/j.cej.2020.125229 ↗
35. 10.1002/cctc.20170054210.1002/cctc.201700542 ↗
36. 10.1039/c2cc35862j10.1039/c2cc35862j ↗
37. 10.1002/anie.20191494910.1002/anie.201914949 ↗
38. 10.1021/acs.iecr.8b0579210.1021/acs.iecr.8b05792 ↗
39. 10.1021/acsami.0c0402810.1021/acsami.0c04028 ↗
40. 10.1364/ol.39.00420810.1364/ol.39.004208 ↗
41. 10.1016/j.jcat.2020.06.02610.1016/j.jcat.2020.06.026 ↗
42. 10.1039/d0nr02551h10.1039/d0nr02551h ↗
43. 10.1021/ja103798k10.1021/ja103798k ↗
44. 10.1016/j.apsusc.2019.14434710.1016/j.apsusc.2019.144347 ↗
45. 10.1021/la991315z10.1021/la991315z ↗
46. 10.1039/c8cp04241a10.1039/c8cp04241a ↗
47. 10.1016/j.apcatb.2020.11861810.1016/j.apcatb.2020.118618 ↗
48. 10.1021/ja409445p10.1021/ja409445p ↗
49. 10.1021/jacs.7b1081710.1021/jacs.7b10817 ↗
50. 10.1021/acsnano.0c0454410.1021/acsnano.0c04544 ↗
51. 10.1021/acsnano.0c0708310.1021/acsnano.0c07083 ↗
52. 10.1021/cs500648p10.1021/cs500648p ↗
53. 10.1039/c3nr03024e10.1039/c3nr03024e ↗
54. 10.1016/j.apsusc.2017.08.21410.1016/j.apsusc.2017.08.214 ↗
55. 10.1039/c3ta11833a10.1039/c3ta11833a ↗
56. 10.1039/c6ta08691h10.1039/c6ta08691h ↗
57. 10.1016/j.jcis.2020.02.10810.1016/j.jcis.2020.02.108 ↗
58. 10.1021/ja504097v10.1021/ja504097v ↗