Trifunctional Cu‐Mesh/Cu2O@FeO Nanoarrays for Highly Efficient Degradation of Antibiotic, Inactivation of Antibiotic‐Resistant Bacteria, and Damage of Antibiotics Resistance Genes
Source abstract
Abstract
Trifunctional Cu‐mesh/Cu2O@FeO nanoarrays heterostructure is designed and fabricated by integrating Cu2O@FeO nanoarrays onto Cu‐mesh (CM) via an in situ growth and phase transformation process. It is successfully applied to efficiently mitigate the antibiotic pollution, including degradation of antibiotics, inactivation of antibiotic‐resistant bacteria (ARB), and damage of antibiotics resistance genes (ARGs). Under visible‐light irradiation, CM/Cu2O@FeO nanoarrays exhibit a superior degradation efficiency on antibiotics (e.g., up to 99% in 25 min for tetracycline hydrochloride, TC), due to the generated reactive oxygen species (ROS), especially the dominant ·O2−. It can fully inactivate E. coli (HB101) with initial number of ~108 CFU mL−1 in 10 min, which is mainly attributed to the synergistic effects of 1D nanostructure, dissolved metal ions, and generated ROS. Meanwhile, it is able to damage ARGs after 180 min of photodegradation, including tetA (vs TC) of 3.3 log10, aphA (vs kanamycin sulfate, KAN) of 3.4 log10, and tnpA (vs ampicillin, AMP) of 4.4 log10, respectively. This work explores a green way for treating antibiotic pollution under visible light.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Advanced Photocatalysis Techniques · Advanced Nanomaterials in Catalysis · Nanoplatforms for cancer theranostics
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Shanghai Key Laboratory of Chemical Assessment and Sustainability State Key Laboratory of Pollution Control and Resource Reuse School of Chemical Science and Engineering College of Environmental Science and Engineering Tongji University Shanghai 200092 China
Faculty of Engineering and Environment Northumbria University Newcastle upon Tyne NE99 UK
Funding
National Natural Science Foundation of China
References (76)
Show source-provided references
1. 10.1016/j.scitotenv.2017.11.05410.1016/j.scitotenv.2017.11.054 ↗
2. 10.1002/adfm.20200235310.1002/adfm.202002353 ↗
3. 10.1016/j.envres.2020.10917910.1016/j.envres.2020.109179 ↗
4. 10.3390/microorganisms810156710.3390/microorganisms8101567 ↗
5. 10.1021/acsnano.0c0726410.1021/acsnano.0c07264 ↗
6. 10.1021/acs.estlett.0c0020210.1021/acs.estlett.0c00202 ↗
7. 10.1016/j.jenvman.2019.05.11910.1016/j.jenvman.2019.05.119 ↗
8. 10.1021/acssuschemeng.8b0348010.1021/acssuschemeng.8b03480 ↗
9. 10.1021/acsnano.8b0469310.1021/acsnano.8b04693 ↗
10. 10.1002/anie.20190353110.1002/anie.201903531 ↗
11. 10.1021/nn300445d10.1021/nn300445d ↗
12. 10.1002/adfm.20200291810.1002/adfm.202002918 ↗
13. 10.1021/ja055499h10.1021/ja055499h ↗
14. 10.1002/adfm.20070035610.1002/adfm.200700356 ↗
15. 10.1021/ic501143z10.1021/ic501143z ↗
16. 10.1166/sam.2012.125710.1166/sam.2012.1257 ↗
17. 10.1002/adfm.20190172210.1002/adfm.201901722 ↗
18. 10.1016/j.jphotochemrev.2018.10.00110.1016/j.jphotochemrev.2018.10.001 ↗
19. 10.1021/acsomega.9b0319710.1021/acsomega.9b03197 ↗
20. 10.1039/c1ee02110a10.1039/c1ee02110a ↗
21. 10.1002/adfm.20190898410.1002/adfm.201908984 ↗
22. 10.1039/C4EE00531G10.1039/C4EE00531G ↗
23. 10.1038/nnano.2011.13910.1038/nnano.2011.139 ↗
24. 10.1016/j.jtbi.2015.08.01110.1016/j.jtbi.2015.08.011 ↗
25. 10.1002/adma.20140171810.1002/adma.201401718 ↗
26. 10.1016/j.cej.2021.13182710.1016/j.cej.2021.131827 ↗
27. 10.1002/adma.20170569810.1002/adma.201705698 ↗
28. 10.1016/j.nantod.2012.06.00210.1016/j.nantod.2012.06.002 ↗
29. 10.1016/j.matt.2021.07.02110.1016/j.matt.2021.07.021 ↗
30. 10.1002/adma.20150321510.1002/adma.201503215 ↗
31. 10.1021/jp112259p10.1021/jp112259p ↗
32. 10.1002/cssc.20160059210.1002/cssc.201600592 ↗
33. 10.1016/j.cplett.2008.09.04210.1016/j.cplett.2008.09.042 ↗
34. 10.1016/j.carbon.2020.05.04410.1016/j.carbon.2020.05.044 ↗
35. 10.1016/j.energy.2019.01.10210.1016/j.energy.2019.01.102 ↗
36. 10.1021/acsami.5b0082210.1021/acsami.5b00822 ↗
37. 10.1039/C8SE00258D10.1039/C8SE00258D ↗
38. Su Y. · ACS Omega · 1939 · 2018 · 3
39. 10.1021/jp308418x10.1021/jp308418x ↗
40. 10.1016/j.apcatb.2020.11957410.1016/j.apcatb.2020.119574 ↗
41. 10.1021/acssuschemeng.0c0770210.1021/acssuschemeng.0c07702 ↗
42. 10.1021/acsami.5b0461410.1021/acsami.5b04614 ↗
43. 10.1016/j.jallcom.2016.04.26910.1016/j.jallcom.2016.04.269 ↗
44. 10.1021/jp511481210.1021/jp5114812 ↗
45. 10.1016/j.ijhydene.2012.01.07510.1016/j.ijhydene.2012.01.075 ↗
46. 10.1016/j.cej.2018.08.13110.1016/j.cej.2018.08.131 ↗
47. 10.1016/j.jallcom.2018.04.21210.1016/j.jallcom.2018.04.212 ↗
48. 10.1021/acsami.8b0277010.1021/acsami.8b02770 ↗
49. 10.1016/j.jhazmat.2019.12087710.1016/j.jhazmat.2019.120877 ↗
50. 10.1038/s41598-020-79139-810.1038/s41598-020-79139-8 ↗
51. 10.1021/acsami.6b1227810.1021/acsami.6b12278 ↗
52. 10.1039/D0TA09173A10.1039/D0TA09173A ↗
53. 10.1021/acsami.0c1482010.1021/acsami.0c14820 ↗
54. 10.1016/j.apcatb.2020.11901710.1016/j.apcatb.2020.119017 ↗
55. 10.1016/j.apcatb.2018.03.08510.1016/j.apcatb.2018.03.085 ↗
56. 10.1016/j.cej.2019.12363810.1016/j.cej.2019.123638 ↗
57. 10.1021/ja504473e10.1021/ja504473e ↗
58. 10.1016/j.cej.2015.02.07010.1016/j.cej.2015.02.070 ↗
59. 10.1021/es048603o10.1021/es048603o ↗
60. 10.1039/C4SC00635F10.1039/C4SC00635F ↗
61. 10.1016/j.jcis.2019.08.07710.1016/j.jcis.2019.08.077 ↗
62. 10.1016/j.scitotenv.2018.08.36010.1016/j.scitotenv.2018.08.360 ↗
63. 10.1016/j.envpol.2013.08.03810.1016/j.envpol.2013.08.038 ↗
64. 10.1002/smll.20120052810.1002/smll.201200528 ↗
65. 10.1016/j.jhazmat.2018.11.03510.1016/j.jhazmat.2018.11.035 ↗
66. 10.1039/C4RA12163E10.1039/C4RA12163E ↗
67. 10.1021/acsami.0c2133610.1021/acsami.0c21336 ↗
68. 10.1016/j.watres.2003.10.02910.1016/j.watres.2003.10.029 ↗
69. 10.1088/1009-0630/9/2/1910.1088/1009-0630/9/2/19 ↗
70. 10.1021/jp065078210.1021/jp0650782 ↗
71. 10.1016/j.apcatb.2010.05.00110.1016/j.apcatb.2010.05.001 ↗
72. 10.1007/BF0253603410.1007/BF02536034 ↗
73. 10.1016/S1010-6030(97)00229-310.1016/S1010-6030(97)00229-3 ↗
74. Amarasiri M. · Crit. Rev. Environ. Sci. Technol. · 2016 · 2020 · 50
75. 10.2203/dose-response.13-002.Migliore10.2203/dose-response.13-002.Migliore ↗
76. 10.1128/AAC.10.2.22310.1128/AAC.10.2.223 ↗