Highly efficient degradation of phenol over a Pd-BiOBr Mott–Schottky plasmonic photocatalyst
Source abstract
Abstract
Abstract Surface plasmonic resonance effect has been widely applied to improve oxidation activity of a photocatalyst under visible light irradiation. Palladium particles were successfully prepared, and electrostatically assembled with BiOBr in this work. Due to the differences in work function between palladium and BiOBr, a Mott–Schottky junction may be established. This junction is in favor of the separation of photogenerated charge carriers. Also, Pd particles on the surface may absorb visible-light photons and produce extra electrons to participate in the photocatalysis. The great improvement in the photocatalytic oxidation of phenol confirms the synergetic effect (SPR and Mott–Schottky junction). This work may serve as a solid evidence to confirm that surface-loaded palladium particles are capable of improving photocatalytic activity, and that electrostatic assembly may be an effective approach to load metal particles onto a surface.
Source: openaire · Quality: candidate unverified · Source record ↗
Research context
OpenAlex topics: Advanced Photocatalysis Techniques · Copper-based nanomaterials and applications · Advanced Nanomaterials in Catalysis
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (52)
Show source-provided references
1. Maeda · J. Phys. Chem. Lett. · 2010 · 1 · 265510.1021/jz1007966 ↗
2. Kudo · Chem. Soc. Rev. · 2009 · 38 · 25310.1039/B800489G ↗
3. Wang · Mater. Res. Bull. · 2008 · 43 · 95810.1016/j.materresbull.2007.04.032 ↗
4. Mohapatra · Catal. Sci. Technol. · 2017 · 7 · 215310.1039/C7CY00116A ↗
5. Daghrir · Ind. Eng. Chem. Res. · 2013 · 52 · 358110.1021/ie303468t ↗
6. Meng · Int. J. Photoenergy · 2015 · 2015 · 9
7. Meng · Int. J. Photoenergy · 2015 · 2015 · 12
8. Meng · J. Photochem. Photobiol. A: Chem. · 2015 · 310 · 3310.1016/j.jphotochem.2015.04.024 ↗
9. Meng · Int. J. Photoenergy · 2016 · 2016 · 1110.1155/2016/4054351 ↗
10. Meng · J. Mol. Catal. A: Chem. · 2016 · 423 · 53310.1016/j.molcata.2016.07.030 ↗
11. Meng · J. Catal. · 2016 · 344 · 61610.1016/j.jcat.2016.10.006 ↗
12. Meng · Appl. Catal. B: Environ. · 2017 · 210 · 16010.1016/j.apcatb.2017.02.083 ↗
13. Meng · Appl. Catal. B: Environ. · 2017 · 209 · 38310.1016/j.apcatb.2017.01.033 ↗
14. An · Rare Met. · 2008 · 27 · 24310.1016/S1001-0521(08)60123-0 ↗
15. Cheng · Nanoscale · 2014 · 6 · 200910.1039/c3nr05529a ↗
16. 10
17. Zhang · Appl. Catal. B: Environ. · 2006 · 68 · 12510.1016/j.apcatb.2006.08.002 ↗
18. Xiao · J. Mater. Chem. · 2010 · 20 · 586610.1039/c0jm00333f ↗
19. Zhao · Mater. Res. Bull. · 2016 · 80 · 33710.1016/j.materresbull.2016.04.018 ↗
20. Wang · Phys. Chem. Chem. Phys. · 2012 · 14 · 981310.1039/c2cp40823f ↗
21. Linic · Nat. Mater. · 2011 · 10 · 91110.1038/nmat3151 ↗
22. Hou · Adv. Funct. Mater. · 2013 · 23 · 161210.1002/adfm.201202148 ↗
23. Meng · Appl. Surf. Sci. · 2018 · 433 · 7610.1016/j.apsusc.2017.09.103 ↗
24. Meng · Appl. Surf. Sci. · 2016 · 392 · 16910.1016/j.apsusc.2016.08.113 ↗
25. Meng · J. Catal. · 2017 · 356 · 5310.1016/j.jcat.2017.09.005 ↗
26. Rao · Mater. Res. Bull. · 2017 · 87 · 19310.1016/j.materresbull.2016.11.042 ↗
27. Liu · Mater. Res. Bull. · 2018 · 98 · 6410.1016/j.materresbull.2017.09.057 ↗
28. Zhao · Mater. Res. Bull. · 2017 · 95 · 39210.1016/j.materresbull.2017.07.005 ↗
29. Lu · Catal. Lett. · 2012 · 142 · 77110.1007/s10562-012-0824-2 ↗
30. Yu · React. Kinet. Mech. Catal. · 2011 · 103 · 14110.1007/s11144-011-0291-6 ↗
31. Gupta · Mater. Res. Bull. · 2017 · 88 · 14810.1016/j.materresbull.2016.12.016 ↗
32. Di · Mater. Technol. · 2015 · 30 · 11310.1179/1753555714Y.0000000226 ↗
33. Yu · Sep. Purif. Technol. · 2013 · 120 · 11010.1016/j.seppur.2013.09.036 ↗
34. Choi · ChemCatChem · 2015 · 7 · 207710.1002/cctc.201500094 ↗
35. Cao · J. Catal. · 2017 · 349 · 20810.1016/j.jcat.2017.02.005 ↗
36. Bannister · Miner. Mag. · 1935 · 24 · 49
37. Chen · Phys. Chem. Chem. Phys. · 2014 · 16 · 2090910.1039/C4CP02972K ↗
38. Zhang · J. Mater. Chem. A · 2013 · 1 · 862210.1039/c3ta11390f ↗
39. Langhammer · Nano Lett. · 2006 · 6 · 83310.1021/nl060219x ↗
40. Zhao · Inorg. Chem. · 2014 · 53 · 1300110.1021/ic5021059 ↗
41. Meng · J. Catal. · 2017 · 356 · 5310.1016/j.jcat.2017.09.005 ↗
42. DeSario · J. Phys. Chem. C · 2015 · 119 · 1752910.1021/acs.jpcc.5b04013 ↗
43. Zhang · Chem. Rev. · 2012 · 112 · 552010.1021/cr3000626 ↗
44. Michaelson · J. Appl. Phys. · 1977 · 48 · 472910.1063/1.323539 ↗
45. Gao · Phys. Chem. Chem. Phys. · 2011 · 13 · 288710.1039/C0CP01749C ↗
46. Schottky · Z. Phys. · 1939 · 113 · 36710.1007/BF01340116 ↗
47. Schottky · Naturwissenschaften · 1938 · 26 · 84310.1007/BF01774216 ↗
48. Proc. R. Soc. Lond. Ser. A: Math. Phys. Sci. · 1939 · 171 · 2710.1098/rspa.1939.0051 ↗
49. Mott · Math. Proc. Cambridge · 2008 · 34 · 56810.1017/S0305004100020570 ↗
50. Ding · Nano Lett. · 2014 · 14 · 673110.1021/nl503585m ↗
51. Cai · Angew Chem.–Ger. Ed. · 2013 · 125 · 1203810.1002/ange.201304652 ↗
52. Chen · Environ. Sci. Technol. · 2010 · 44 · 45110.1021/es902712j ↗