Coordination Number Regulation of Iron Single‐Atom Nanozyme for Enhancing H 2 O 2 Activation and Selectively Eliminating Cephalosporin Antibiotics
Source abstract
Abstract
Abstract Nanozymes present promising alternatives to natural enzymes, but controlling nanozymes' performance and employing them for selectively removing antibiotics are extremely challenging. Employing theoretical calculations to design the coordination environments of mental and coordination atoms for directing single‐atom nanozymes synthesis emerges as a promising strategy to enhance their efficiency and selectivity in antibiotic elimination. In this study, the peroxidase‐like specificity of iron single‐atom nanozymes (Fe SA ‐N x , x = 2,3, and 4) with specific Fe–N coordination numbers is demonstrated based on theoretical calculations. These calculations guide the synthesis of corresponding ultra‐thin Fe SA ‐N x , achieving a high degree of consistency between theoretical predictions and experimental results. Fe SA ‐N 3 with a Fe─N3 coordination number proves to be the most effective. The efficient electron transfer from Fe─N3 site to H 2 O 2 reduces the free energy required for •OH generation. Quantitative structure‐activity relationship (QSAR) analysis reveals a strong positive correlation between degradation efficiency of cephalosporins and their electron‐donating capabilities ( R 2 = 0.820–0.929), realizing selectively eliminating cephalosporins. Integration Fe SA ‐N 3 into ceramic membrane (Fe SA ‐N 3 /CM) improves hydrophilicity, achieving continuous and stable removal of cephalosporin. This study provides valuable insights into coordination number regulating nanozyme properties for selective antibiotics removal and offers novel perspectives for Fe SA ‐N 3 application in integrated systems.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Advanced Nanomaterials in Catalysis · Advanced Photocatalysis Techniques · Nanocluster Synthesis and Applications
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Key Laboratory of Water Pollution Control and Recycling (Shandong) School of Environmental Science and Engineering Shandong University Qingdao 266237 P. R. China
Environment Research Institute Shandong University Qingdao 266237 P. R. China
Funding
Major Scientific and Technological Innovation Project of Shandong Province
References (58)
Show source-provided references
1. 10.1016/j.jhazmat.2021.12537610.1016/j.jhazmat.2021.125376 ↗
2. 10.1016/j.colsurfa.2023.13131810.1016/j.colsurfa.2023.131318 ↗
3. 10.1016/j.jhazmat.2021.12815510.1016/j.jhazmat.2021.128155 ↗
4. 10.1016/j.scitotenv.2021.14499110.1016/j.scitotenv.2021.144991 ↗
5. 10.1016/j.scitotenv.2021.14825310.1016/j.scitotenv.2021.148253 ↗
6. 10.1016/j.chemosphere.2022.13679910.1016/j.chemosphere.2022.136799 ↗
7. 10.1021/acs.est.2c0698110.1021/acs.est.2c06981 ↗
8. 10.1016/j.scitotenv.2022.15972510.1016/j.scitotenv.2022.159725 ↗
9. 10.1016/j.jhazmat.2022.12895810.1016/j.jhazmat.2022.128958 ↗
10. 10.1021/acsnano.3c0540910.1021/acsnano.3c05409 ↗
11. 10.1016/j.chempr.2020.10.02310.1016/j.chempr.2020.10.023 ↗
12. 10.1016/j.nantod.2022.10142910.1016/j.nantod.2022.101429 ↗
13. 10.1002/adma.20220289110.1002/adma.202202891 ↗
14. 10.1039/D3EN00844D10.1039/D3EN00844D ↗
15. 10.1073/pnas.231439612110.1073/pnas.2314396121 ↗
16. 10.1016/j.cej.2023.14783710.1016/j.cej.2023.147837 ↗
17. 10.1021/acsnano.3c0437810.1021/acsnano.3c04378 ↗
18. 10.1002/smll.20230037310.1002/smll.202300373 ↗
19. 10.1021/jacs.1c0634910.1021/jacs.1c06349 ↗
20. 10.1021/jacs.1c0949810.1021/jacs.1c09498 ↗
21. 10.1016/j.apcatb.2024.12376210.1016/j.apcatb.2024.123762 ↗
22. 10.1021/jacs.9b0456910.1021/jacs.9b04569 ↗
23. 10.1016/j.envpol.2021.11662410.1016/j.envpol.2021.116624 ↗
24. 10.1038/s41467-023-42889-w10.1038/s41467-023-42889-w ↗
25. 10.1016/j.nantod.2020.10097110.1016/j.nantod.2020.100971 ↗
26. 10.1016/j.jhazmat.2021.12692910.1016/j.jhazmat.2021.126929 ↗
27. 10.1002/adma.20227027510.1002/adma.202270275 ↗
28. 10.1002/adfm.20231230810.1002/adfm.202312308 ↗
29. 10.1002/advs.20200106910.1002/advs.202001069 ↗
30. 10.1016/j.carbon.2024.11927110.1016/j.carbon.2024.119271 ↗
31. 10.1039/D1MA00518A10.1039/D1MA00518A ↗
32. 10.1021/acscatal.1c0259710.1021/acscatal.1c02597 ↗
33. 10.1016/j.carbon.2020.09.04810.1016/j.carbon.2020.09.048 ↗
34. 10.1002/chem.20230034810.1002/chem.202300348 ↗
35. 10.1016/j.apcatb.2021.12087710.1016/j.apcatb.2021.120877 ↗
36. 10.1002/anie.20171245110.1002/anie.201712451 ↗
37. 10.1016/j.cej.2022.13599910.1016/j.cej.2022.135999 ↗
38. 10.1021/acs.est.2c0126110.1021/acs.est.2c01261 ↗
39. 10.1002/anie.20210893710.1002/anie.202108937 ↗
40. 10.1016/j.chemosphere.2020.12879610.1016/j.chemosphere.2020.128796 ↗
41. 10.1016/j.seppur.2023.12497410.1016/j.seppur.2023.124974 ↗
42. 10.1016/j.seppur.2021.11993410.1016/j.seppur.2021.119934 ↗
43. 10.1021/acs.est.0c0680810.1021/acs.est.0c06808 ↗
44. 10.1021/ja205259910.1021/ja2052599 ↗
45. 10.1016/j.watres.2023.12015110.1016/j.watres.2023.120151 ↗
46. 10.1016/j.apcatb.2024.12386810.1016/j.apcatb.2024.123868 ↗
47. 10.1021/acs.est.3c0487010.1021/acs.est.3c04870 ↗
48. 10.1002/cmtd.20210000710.1002/cmtd.202100007 ↗
49. 10.1016/j.jhazmat.2022.13046910.1016/j.jhazmat.2022.130469 ↗
50. 10.1016/j.apcatb.2023.12293310.1016/j.apcatb.2023.122933 ↗
51. 10.1016/j.apcatb.2023.12343710.1016/j.apcatb.2023.123437 ↗
52. Xu F. · Appl. Catal., B · 2023 · 339
53. 10.1021/acs.inorgchem.2c0392210.1021/acs.inorgchem.2c03922 ↗
54. 10.1021/acsestwater.0c0025310.1021/acsestwater.0c00253 ↗
55. 10.1016/j.jhazmat.2022.12857710.1016/j.jhazmat.2022.128577 ↗
56. 10.1021/acs.est.2c0490310.1021/acs.est.2c04903 ↗
57. 10.1021/acs.est.1c0737510.1021/acs.est.1c07375 ↗
58. 10.1002/jcc.2288510.1002/jcc.22885 ↗