Anticorrosion Coating with Heterogeneous Assembly of Nanofillers Modulated by a Magnetic Field
Source abstract
Abstract
An anticorrosive coating with randomly distributed passive barriers and regionally enriched active corrosion inhibitors is developed by integrating mica nanosheets (MNSs) and magnetic-responsive core–shell mesoporous nanoparticles with 2-mercaptobenzothiazole (Fe 3 O 4 @mSiO 2 /MBT) under magnetic field incubation. The bottom enriched Fe 3 O 4 @mSiO 2 /MBT rapidly releases the MBT to form a passivation layer on corrosion sites, enhancing the corrosion inhibition efficiency by 30.36% compared with the control (NP 0.7 EP-R). The impedance modulus | Z | 0.01 Hz of the sample (NP 0.7 /MNS 0.5 /EP) increases by five orders of magnitude compared with that of its control (NP 0.7 /MNS 0 EP) after 30 days of corrosion immersion. NP 0.7 /MNS 0.5 /EP exhibited the lowest corrosion rate (3.984 × 10 –5 mm/year) as compared to the other samples. Notably, the coating in a fractured state still maintains superior corrosion inhibition even after 40 day salt spray testing. The differentiated distribution of nanofillers was well confirmed by optical microscopy and SEM-EDS, and the synergistic effect of the active/passive integrated anticorrosive coating with merits of both comprehensive protection and fast responsiveness was systematically explored.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Material Properties and Applications · Advanced Theoretical and Applied Studies in Material Sciences and Geometry · Surface Treatment and Coatings
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Key Laboratory of Bionic Engineering, Ministry of Education, Jilin University, Changchun130022, China
College of Chemistry, Jilin University, Changchun130012, China
Funding
Natural Science Foundation of Guangxi Province · People's Government of Jilin Province · Jilin University · Ministry of Industry and Information Technology of the People's Republic of China · Education Department of Jilin Province
References (66)
Show source-provided references
1. 10.1016/j.cej.2021.13282310.1016/j.cej.2021.132823 ↗
2. 10.1016/j.cossms.2019.03.00210.1016/j.cossms.2019.03.002 ↗
3. 10.1016/j.jmst.2019.06.02410.1016/j.jmst.2019.06.024 ↗
4. 10.1007/s11661-019-05573-710.1007/s11661-019-05573-7 ↗
5. 10.1007/s42235-020-0034-310.1007/s42235-020-0034-3 ↗
6. 10.1016/j.molliq.2020.11513210.1016/j.molliq.2020.115132 ↗
7. 10.1021/acs.nanolett.0c0472410.1021/acs.nanolett.0c04724 ↗
8. 10.1016/j.compositesb.2019.05.01510.1016/j.compositesb.2019.05.015 ↗
9. 10.1016/j.compositesb.2018.08.02310.1016/j.compositesb.2018.08.023 ↗
10. 10.1016/j.cej.2017.12.11810.1016/j.cej.2017.12.118 ↗
11. 10.1021/acsami.7b0097210.1021/acsami.7b00972 ↗
12. 10.1016/j.porgcoat.2020.10582110.1016/j.porgcoat.2020.105821 ↗
13. 10.1016/j.porgcoat.2018.05.00610.1016/j.porgcoat.2018.05.006 ↗
14. 10.1016/j.compscitech.2022.10963810.1016/j.compscitech.2022.109638 ↗
15. 10.1016/j.apmt.2021.10106910.1016/j.apmt.2021.101069 ↗
16. 10.1021/acsnano.1c0822810.1021/acsnano.1c08228 ↗
17. 10.1016/j.cej.2022.13576510.1016/j.cej.2022.135765 ↗
18. 10.1016/j.compositesa.2021.10656810.1016/j.compositesa.2021.106568 ↗
19. 10.1016/j.corsci.2021.10971510.1016/j.corsci.2021.109715 ↗
20. 10.1016/j.carbon.2018.06.01810.1016/j.carbon.2018.06.018 ↗
21. 10.1016/j.cej.2019.12383510.1016/j.cej.2019.123835 ↗
22. 10.1021/acssuschemeng.9b0179610.1021/acssuschemeng.9b01796 ↗
23. 10.1038/s41563-021-01072-610.1038/s41563-021-01072-6 ↗
24. Pan X. F. · Adv. Mater. · 2021 · 34 · 210529910.1002/adma.202105299 ↗
25. 10.1038/s41467-018-05355-610.1038/s41467-018-05355-6 ↗
26. 10.1007/s00343-020-0058-x10.1007/s00343-020-0058-x ↗
27. 10.1016/j.corsci.2018.09.01810.1016/j.corsci.2018.09.018 ↗
28. 10.1021/acsami.1c1605210.1021/acsami.1c16052 ↗
29. 10.1016/j.cej.2017.09.11210.1016/j.cej.2017.09.112 ↗
30. 10.1016/j.porgcoat.2015.10.01010.1016/j.porgcoat.2015.10.010 ↗
31. 10.1016/j.jhazmat.2020.12313610.1016/j.jhazmat.2020.123136 ↗
32. 10.1016/j.jhazmat.2020.12372210.1016/j.jhazmat.2020.123722 ↗
33. 10.1016/j.jallcom.2020.15462010.1016/j.jallcom.2020.154620 ↗
34. 10.1021/acsami.0c0895310.1021/acsami.0c08953 ↗
35. 10.1021/jp076188r10.1021/jp076188r ↗
36. 10.1039/c2nr11536k10.1039/c2nr11536k ↗
37. 10.1002/app.4729710.1002/app.47297 ↗
38. 10.1007/s12598-021-01802-410.1007/s12598-021-01802-4 ↗
39. 10.1021/acsami.1c1411010.1021/acsami.1c14110 ↗
40. 10.1007/s10853-018-2046-510.1007/s10853-018-2046-5 ↗
41. 10.1016/j.corsci.2022.11044410.1016/j.corsci.2022.110444 ↗
42. 10.1016/j.jhazmat.2020.12221510.1016/j.jhazmat.2020.122215 ↗
43. 10.1021/acsami.0c1186610.1021/acsami.0c11866 ↗
44. 10.1016/j.porgcoat.2021.10645410.1016/j.porgcoat.2021.106454 ↗
45. 10.1021/acsami.7b0634710.1021/acsami.7b06347 ↗
46. 10.1016/j.jcis.2017.11.04210.1016/j.jcis.2017.11.042 ↗
47. 10.1016/S0040-6031(03)00250-810.1016/S0040-6031(03)00250-8 ↗
48. 10.1039/C8CC09982K10.1039/C8CC09982K ↗
49. 10.1016/j.synthmet.2014.08.01010.1016/j.synthmet.2014.08.010 ↗
50. 10.1007/s42235-020-0094-410.1007/s42235-020-0094-4 ↗
51. 10.1155/2014/48013810.1155/2014/480138 ↗
52. 10.1088/0957-4484/24/14/14560210.1088/0957-4484/24/14/145602 ↗
53. 10.1016/j.compscitech.2022.10964610.1016/j.compscitech.2022.109646 ↗
54. 10.1002/adma.20110359210.1002/adma.201103592 ↗
55. 10.1016/j.corsci.2017.04.01110.1016/j.corsci.2017.04.011 ↗
56. 10.1039/C9NR00356H10.1039/C9NR00356H ↗
57. 10.1021/acsami.8b1966310.1021/acsami.8b19663 ↗
58. 10.1021/acsami.8b0698510.1021/acsami.8b06985 ↗
59. 10.1016/j.surfcoat.2011.02.03010.1016/j.surfcoat.2011.02.030 ↗
60. 10.1016/j.corsci.2020.10909010.1016/j.corsci.2020.109090 ↗
61. 10.1039/D0NR05040G10.1039/D0NR05040G ↗
62. 10.1016/j.corsci.2018.10.03410.1016/j.corsci.2018.10.034 ↗
63. 10.1002/adfm.20120371510.1002/adfm.201203715 ↗
64. 10.1021/acsami.8b1110810.1021/acsami.8b11108 ↗
65. 10.1016/j.carbon.2020.01.08610.1016/j.carbon.2020.01.086 ↗
66. 10.1016/j.molliq.2018.07.08710.1016/j.molliq.2018.07.087 ↗