journal article·2021-02-23

Univariate Lattice Parameter Modulation of Single-Crystal-like Anatase TiO2 Hierarchical Nanowire Arrays to Improve Photoactivity

Wei Wen, Jianhang Hai, Jincheng Yao, Yi-Jie Gu, Hisayoshi Kobayashi, He Tian, Tulai Sun, Qiongyang Chen, Peng Yang, Chao Geng, Jin-Ming Wu

Chemistry of Materials· Volume 33· Issue 4
Publisher page

Abstract

Strain engineering is a highly effective tool for tuning the lattice parameter and in turn optimizing the optical, electronic, and chemical properties of numerous functional materials. In conventional methods, the strain is imposed from an additional heterogeneous substrate, bringing extra composition/phase that disturbs the mechanism investigations of the effects of lattice parameters on material properties. Here, we report a convertible-precursor-induced growing method to fulfill the elongation of the uniaxial lattice parameter of anatase TiO2 with a complex structure of single-crystal-like hierarchical arrays, without changing the composition, morphology, phase, and surface states. This methodology relies on a precursor-induced oriented growth and lattice parameter modulation on the basis of the lattice mismatch from the precursor. Unlike conventional substrate-manipulating methods, the employed precursor can be converted to the final materials (i.e., anatase TiO2), which can eliminate the effects of the additional substrate. It is found that for anatase TiO2, the elongation of lattice parameter a leads to the shift-up of the conduction band bottom and can thus accelerate the reduction reactions of O2. The elongation of lattice parameter a and unique structural features make the TiO2 arrays highly active for photocatalytic degradation of toluene in air, with a turnover frequency (TOF) 3.8 times and 2.1 times, respectively, that of the normal TiO2 arrays and P25 powder under ultraviolet irradiation. The enhanced reduction capability is further confirmed by the much-improved efficiency to assist the photoreduction of Cr(VI) in water.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Advanced Photocatalysis Techniques · ZnO doping and properties · Gas Sensing Nanomaterials and Sensors

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

Affiliations

College of Mechanical and Electrical Engineering, Hainan University, Haikou 570228, P. R. China

State Key Laboratory of Silicon Materials, School of Materials Science and Engineering, Zhejiang University, Hangzhou 310027, P. R. China

Department of Chemistry and Materials Technology, Kyoto Institute of Technology, Kyoto 606-8585, Japan

Center of Electron Microscopy, School of Materials Science and Engineering, Zhejiang University, Hangzhou 310027, P. R. China

Center for Electron Microscopy, State Key Laboratory Breeding Base of Green Chemistry Synthesis Technology and College of Chemical Engineering, Zhejiang University of Technology, Hangzhou 310014, P. R. China

Funding

Natural Science Foundation of Hainan Province · National Natural Science Foundation of China · Hainan Province

References (46)

Show source-provided references
1. 10.1038/s41560-018-0308-810.1038/s41560-018-0308-8 ↗
2. 10.1021/acsenergylett.9b0019110.1021/acsenergylett.9b00191 ↗
3. 10.1038/natrevmats.2017.5910.1038/natrevmats.2017.59 ↗
4. 10.1126/science.aad889210.1126/science.aad8892 ↗
5. 10.1103/PhysRevLett.81.281910.1103/PhysRevLett.81.2819 ↗
6. 10.1021/nl501638a10.1021/nl501638a ↗
7. 10.1021/acsnano.7b0240410.1021/acsnano.7b02404 ↗
8. 10.1021/jacs.5b0303410.1021/jacs.5b03034 ↗
9. 10.1039/C4EE02144D10.1039/C4EE02144D ↗
10. 10.1038/ncomms1179610.1038/ncomms11796 ↗
11. 10.1038/s41929-019-0400-x10.1038/s41929-019-0400-x ↗
12. 10.1002/anie.20170316810.1002/anie.201703168 ↗
13. 10.1126/science.aaf768010.1126/science.aaf7680 ↗
14. 10.1126/science.aat805110.1126/science.aat8051 ↗
15. 10.1021/jacs.7b0822910.1021/jacs.7b08229 ↗
16. 10.1021/cr500089310.1021/cr5000893 ↗
17. 10.1021/cm402319810.1021/cm4023198 ↗
18. 10.1021/nl404626210.1021/nl4046262 ↗
19. 10.1038/nature1193610.1038/nature11936 ↗
20. 10.1126/sciadv.150016610.1126/sciadv.1500166 ↗
21. 10.1021/jacs.6b1164110.1021/jacs.6b11641 ↗
22. 10.1016/j.apcatb.2015.11.00710.1016/j.apcatb.2015.11.007 ↗
23. 10.1016/0021-9517(80)90041-X10.1016/0021-9517(80)90041-X ↗
24. 10.1002/(SICI)1097-461X(2000)77:5<895::AID-QUA10>3.0.CO;2-C10.1002/(SICI)1097-461X(2000)77:5<895::AID-QUA10>3.0.CO;2-C ↗
25. 10.1103/RevModPhys.64.104510.1103/RevModPhys.64.1045 ↗
26. 10.1103/PhysRevLett.77.386510.1103/PhysRevLett.77.3865 ↗
27. 10.1103/PhysRevB.43.679610.1103/PhysRevB.43.6796 ↗
28. 10.1021/jp908508z10.1021/jp908508z ↗
29. 10.1002/adma.20050269610.1002/adma.200502696 ↗
30. 10.1021/jp103644x10.1021/jp103644x ↗
31. 10.1088/0957-4484/19/9/09560410.1088/0957-4484/19/9/095604 ↗
32. 10.1039/C6TA03331H10.1039/C6TA03331H ↗
33. 10.1002/adma.20070054010.1002/adma.200700540 ↗
34. 10.1016/j.chempr.2017.01.00410.1016/j.chempr.2017.01.004 ↗
35. 10.1021/acs.est.8b0228210.1021/acs.est.8b02282 ↗
36. 10.1016/j.jhazmat.2017.08.07710.1016/j.jhazmat.2017.08.077 ↗
37. 10.1016/j.jhazmat.2017.09.04410.1016/j.jhazmat.2017.09.044 ↗
38. 10.1016/j.apsusc.2017.10.21610.1016/j.apsusc.2017.10.216 ↗
39. 10.1021/acs.jpclett.8b0289210.1021/acs.jpclett.8b02892 ↗
40. 10.1021/acs.jpcc.7b1142310.1021/acs.jpcc.7b11423 ↗
41. 10.1016/j.cej.2016.11.00410.1016/j.cej.2016.11.004 ↗
42. Morrison S. R. · 198010.1007/978-1-4613-3144-5 ↗
43. 10.1021/es900393h10.1021/es900393h ↗
44. 10.1039/b108441k10.1039/b108441k ↗
45. 10.1021/acs.est.5b0541810.1021/acs.est.5b05418 ↗
46. 10.1021/jp500252g10.1021/jp500252g ↗