journal article·2020-12-23Open access

Uniform Mesoporous Amorphous Cobalt-Inherent Silicon Oxide as a Highly Active Heterogeneous Catalyst in the Activation of Peroxymonosulfate for Rapid Oxidation of 2,4-Dichlorophenol: The Important Role of Inherent Cobalt in the Catalytic Mechanism

Qiyu Lian, Amitava Roy, Orhan Kizilkaya, Daniel Dianchen Gang, William Holmes, Mark E. Zappi, Xu Zhang, Hong Yao

ACS Applied Materials & Interfaces· Volume 12· Issue 51

Abstract

Amorphous cobalt-inherent silicon oxide (Co-SiOx) was synthesized for the first time and employed as a highly active catalyst in the activation of peroxymonosulfate (PMS) for the rapid oxidation of 2,4-dichlorophenol (2,4-DCP). The characterization results revealed that the 0.15Co-SiOx possessed a high specific surface area of 607.95 m2/g with a uniform mesoporous structure (24.33 nm). The X-ray diffraction patterns indicate that the substituted cobalt atoms enlarge the unit cell parameter of the original SiO2, and the selected area electron diffraction pattern confirmed the amorphous nature of Co-SiOx. More bulk oxygen vacancies (Ov) existing in the Co-SiOx were identified to be one of the primary contributors to the significantly enhanced catalytic activation of PMS. The cobalt substitution both creates and stabilizes the surficial Ov and forms the adequately active Co(II)–Ov pairs which engine the electron transfer process during the catalytic activities. The active Co(II)–Ov pairs weaken the average electronegativity of Co/Si and Co/O sites, resulting in the prevalent changes in final state energy, which is the main driving cause of the binding energy shifts in the X-ray photoelectron spectroscopy (XPS) spectra of Si and O among all samples. The increase of the relative proportion of Co(III) in the spent Co-SiOx probably causes the binding energy shifts of the Co XPS spectrum compared to that of the Co-SiOx. The amorphous Co-SiOx outperforms stable and quick 2,4-DCP degradation, achieving a much higher kinetic rate of 0.7139 min–1 at pH = 7.02 than others via sulfate radical advanced oxidation processes (AOPs), photo-Fenton AOPs, H2O2 reagent AOPs, and other AOP approaches. The efficient degradation performance makes the amorphous Co-SiOx as a promising catalyst in removing 2,4-DCP or organic-rich pollutants.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Advanced oxidation water treatment · Advanced Photocatalysis Techniques · Electrocatalysts for Energy Conversion

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

Affiliations

Department of Civil Engineering, University of Louisiana at Lafayette, P.O. Box 43598, Lafayette, Louisiana 70504, United States

Center for Environmental Technology, The Energy Institute of Louisiana, P.O. Box 43597, Lafayette, Louisiana 70504, United States

The J. Bennett Johnston, Sr., Center for Advanced Microstructures and Devices (CAMD), Baton Rouge, Louisiana 70806, United States

Department of Chemical Engineering, University of Louisiana at Lafayette, P.O. Box 43675, Lafayette, Louisiana 70504, United States

Beijing International Scientific and Technological Cooperation Base of Water Pollution Control Techniques for Antibiotics and Resistance Genes, School of Civil Engineering, Beijing Jiaotong University, 3 Shangyuancun, Beijing 100044, P. R. China

Funding

National Aeronautics and Space Administration · Louisiana Board of Regents · Energy Institute of Louisiana, University of Louisiana

References (89)

Show source-provided references
1. 10.1016/j.jhazmat.2019.12199510.1016/j.jhazmat.2019.121995 ↗
2. 10.1016/j.rser.2019.10966910.1016/j.rser.2019.109669 ↗
3. 10.1016/j.watres.2019.01.01310.1016/j.watres.2019.01.013 ↗
4. 10.1016/j.cej.2019.12214910.1016/j.cej.2019.122149 ↗
5. 10.1016/j.microc.2019.10443010.1016/j.microc.2019.104430 ↗
6. 10.1016/j.psep.2018.11.01610.1016/j.psep.2018.11.016 ↗
7. 10.1016/j.envpol.2020.11398310.1016/j.envpol.2020.113983 ↗
8. 10.1016/j.cej.2020.12406510.1016/j.cej.2020.124065 ↗
9. 10.1016/j.ultsonch.2018.11.01210.1016/j.ultsonch.2018.11.012 ↗
10. 10.1016/j.jhazmat.2019.12144710.1016/j.jhazmat.2019.121447 ↗
11. 10.1016/j.chemosphere.2018.01.13510.1016/j.chemosphere.2018.01.135 ↗
12. 10.1016/j.apcatb.2018.09.08810.1016/j.apcatb.2018.09.088 ↗
13. 10.1021/es505014z10.1021/es505014z ↗
14. 10.1016/j.cej.2020.12505010.1016/j.cej.2020.125050 ↗
15. 10.1016/j.cej.2018.08.09810.1016/j.cej.2018.08.098 ↗
16. 10.1021/acscatal.7b0434010.1021/acscatal.7b04340 ↗
17. 10.1021/acscatal.7b0176710.1021/acscatal.7b01767 ↗
18. 10.1002/cphc.20090079710.1002/cphc.200900797 ↗
19. 10.1002/cssc.20130053210.1002/cssc.201300532 ↗
20. 10.1021/jp062646510.1021/jp0626465 ↗
21. 10.1016/j.jhazmat.2019.05.07910.1016/j.jhazmat.2019.05.079 ↗
22. 10.1016/j.jhazmat.2017.04.07310.1016/j.jhazmat.2017.04.073 ↗
23. 10.1515/pac-2014-111710.1515/pac-2014-1117 ↗
24. 10.1016/j.colsurfa.2013.03.02810.1016/j.colsurfa.2013.03.028 ↗
25. 10.1016/j.micromeso.2006.03.02110.1016/j.micromeso.2006.03.021 ↗
26. 10.1039/c3an01279d10.1039/c3an01279d ↗
27. 10.1016/j.diamond.2019.10748010.1016/j.diamond.2019.107480 ↗
28. 10.1016/j.micromeso.2019.10964010.1016/j.micromeso.2019.109640 ↗
29. 10.1063/1.172569710.1063/1.1725697 ↗
30. 10.1039/c5ra15288g10.1039/c5ra15288g ↗
31. 10.1016/j.jallcom.2018.04.03410.1016/j.jallcom.2018.04.034 ↗
32. 10.1021/acsami.9b1132210.1021/acsami.9b11322 ↗
33. 10.1016/j.jcis.2020.06.07310.1016/j.jcis.2020.06.073 ↗
34. 10.1002/smll.20140371510.1002/smll.201403715 ↗
35. 10.1016/j.cej.2020.12506310.1016/j.cej.2020.125063 ↗
36. 10.1016/j.cej.2020.12597810.1016/j.cej.2020.125978 ↗
37. 10.1016/j.colsurfa.2020.12456810.1016/j.colsurfa.2020.124568 ↗
38. 10.1016/j.jhazmat.2020.12252810.1016/j.jhazmat.2020.122528 ↗
39. 10.1016/j.jhazmat.2019.12135010.1016/j.jhazmat.2019.121350 ↗
40. 10.1016/j.chemosphere.2019.12524410.1016/j.chemosphere.2019.125244 ↗
41. 10.1016/j.jhazmat.2019.03.01910.1016/j.jhazmat.2019.03.019 ↗
42. 10.1016/j.jhazmat.2013.09.04710.1016/j.jhazmat.2013.09.047 ↗
43. 10.1016/j.jhazmat.2020.12233110.1016/j.jhazmat.2020.122331 ↗
44. 10.1016/j.jhazmat.2020.12270810.1016/j.jhazmat.2020.122708 ↗
45. 10.1016/j.watres.2014.12.02210.1016/j.watres.2014.12.022 ↗
46. 10.1016/j.jece.2016.01.04110.1016/j.jece.2016.01.041 ↗
47. 10.1016/j.seppur.2016.11.04210.1016/j.seppur.2016.11.042 ↗
48. 10.1016/j.cej.2013.08.01810.1016/j.cej.2013.08.018 ↗
49. 10.1016/j.emcon.2019.02.00410.1016/j.emcon.2019.02.004 ↗
50. 10.1016/j.chemosphere.2004.08.08110.1016/j.chemosphere.2004.08.081 ↗
51. 10.1016/j.ultsonch.2016.08.01710.1016/j.ultsonch.2016.08.017 ↗
52. 10.1016/j.clay.2018.11.03010.1016/j.clay.2018.11.030 ↗
53. 10.1021/jp804839410.1021/jp8048394 ↗
54. 10.1007/s00339-017-1152-610.1007/s00339-017-1152-6 ↗
55. 10.1021/acsanm.7b0024610.1021/acsanm.7b00246 ↗
56. 10.1039/c3nr00476g10.1039/c3nr00476g ↗
57. 10.1039/c5mh00096c10.1039/c5mh00096c ↗
58. 10.1021/acsami.7b1206910.1021/acsami.7b12069 ↗
59. 10.1016/j.jhazmat.2018.01.05410.1016/j.jhazmat.2018.01.054 ↗
60. 10.1021/acscatal.6b0230310.1021/acscatal.6b02303 ↗
61. 10.1021/acs.est.9b0144910.1021/acs.est.9b01449 ↗
62. 10.1002/cptc.20180003810.1002/cptc.201800038 ↗
63. 10.1016/j.apcatb.2020.11941810.1016/j.apcatb.2020.119418 ↗
64. 10.1021/acs.est.8b0095910.1021/acs.est.8b00959 ↗
65. 10.1016/j.cej.2019.12300310.1016/j.cej.2019.123003 ↗
66. 10.1016/j.chemosphere.2016.02.08910.1016/j.chemosphere.2016.02.089 ↗
67. 10.1016/j.envres.2020.10966510.1016/j.envres.2020.109665 ↗
68. 10.1016/j.cej.2019.12356010.1016/j.cej.2019.123560 ↗
69. 10.1016/j.cej.2020.12438210.1016/j.cej.2020.124382 ↗
70. 10.1016/j.cep.2018.11.01110.1016/j.cep.2018.11.011 ↗
71. 10.1016/j.molliq.2019.11187310.1016/j.molliq.2019.111873 ↗
72. 10.1016/j.cej.2019.12219110.1016/j.cej.2019.122191 ↗
73. 10.1016/j.jhazmat.2017.11.02310.1016/j.jhazmat.2017.11.023 ↗
74. 10.1063/1.492182310.1063/1.4921823 ↗
75. 10.1103/physrevlett.78.377710.1103/physrevlett.78.3777 ↗
76. 10.1016/j.elspec.2005.11.00110.1016/j.elspec.2005.11.001 ↗
77. 10.1039/c1cp22717c10.1039/c1cp22717c ↗
78. 10.1139/v70-52810.1139/v70-528 ↗
79. 10.1007/bf0020247110.1007/bf00202471 ↗
80. 10.1063/1.163425010.1063/1.1634250 ↗
81. 10.1016/s0022-3093(96)00640-010.1016/s0022-3093(96)00640-0 ↗
82. 10.1039/c7ra07465d10.1039/c7ra07465d ↗
83. 10.3390/nano904057710.3390/nano9040577 ↗
84. 10.1016/j.electacta.2019.13558610.1016/j.electacta.2019.135586 ↗
85. 10.1107/s090904950001548x10.1107/s090904950001548x ↗
86. 10.1039/c0cp00396d10.1039/c0cp00396d ↗
87. 10.1039/c4dt03670k10.1039/c4dt03670k ↗
88. 10.1021/acs.chemmater.8b0171310.1021/acs.chemmater.8b01713 ↗
89. 10.1021/jp108117d10.1021/jp108117d ↗