Dynamic Polymer/Metal–Organic Framework Hybrid Microcapsules for Self-Healing Anticorrosion Coatings
Source abstract
Abstract
An ideal microcapsule effectively preserves an active substance and can rapidly release it to elicit a self-healing anticorrosion effect. However, the development of highly efficient microcapsules remains a challenge. In this study, polymer/metal–organic framework hybrid microcapsules with dynamic properties were constructed as self-healing anticorrosion coatings. The shell of the microcapsule consisted of flexible polydopamine and a hard crystalline zeolitic imidazolate framework-8 (ZIF-8) layer. The corrosion inhibitor 8-hydroxyquinoline (8-HQ) was trapped in the microcapsules and remained unreleased because the ZIF-8 layer acted as a molecular sieve. When the coating was surrounded by an acidic environment, the ZIF-8 nanocrystals in the shell dissociated, followed by the release of 8-HQ. A dense protective layer was formed on the steel surface to suppress extensive corrosion propagation. The | Z | 0.01Hz value of the self-healing coating increased from 1.9 × 10 4 Ω cm 2 to 2.2 × 10 6 Ω cm 2 within 48 h and remained at this level until 120 h post application. This value is 3 orders of magnitude higher than that of a pure epoxy coating under the same conditions. Compared with conventional coatings, the novel dynamic microcapsules enable the application of self-healing coatings that can withstand harsh acidic environments without human intervention.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Metal-Organic Frameworks: Synthesis and Applications · Polymer composites and self-healing · Corrosion Behavior and Inhibition
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
State Key Laboratory of Chemical Resource Engineering, College of Materials Science and Engineering, Beijing University of Chemical Technology, Beijing 100029, China
Funding
Natural Science Foundation of Beijing Municipality · Fundamental Research Funds for the Central Universities · National Natural Science Foundation of China
References (64)
Show source-provided references
1. 10.1126/science.124289510.1126/science.1242895 ↗
2. 10.1016/j.corsci.2018.08.00510.1016/j.corsci.2018.08.005 ↗
3. 10.1016/j.supmat.2023.10004510.1016/j.supmat.2023.100045 ↗
4. 10.1021/acsami.4c0534110.1021/acsami.4c05341 ↗
5. 10.1016/j.supmat.2022.10000910.1016/j.supmat.2022.100009 ↗
6. 10.1038/s41529-023-00415-910.1038/s41529-023-00415-9 ↗
7. 10.1002/adma.20240117810.1002/adma.202401178 ↗
8. 10.1016/j.matt.2021.05.00110.1016/j.matt.2021.05.001 ↗
9. 10.1002/adma.20230093710.1002/adma.202300937 ↗
10. 10.1002/anie.20201730310.1002/anie.202017303 ↗
11. 10.1021/acsami.9b1073710.1021/acsami.9b10737 ↗
12. 10.1002/adma.20080200810.1002/adma.200802008 ↗
13. 10.1021/cm062066k10.1021/cm062066k ↗
14. 10.1016/j.electacta.2012.04.09510.1016/j.electacta.2012.04.095 ↗
15. 10.1021/acsami.4c0411510.1021/acsami.4c04115 ↗
16. 10.1016/j.progpolymsci.2015.07.00210.1016/j.progpolymsci.2015.07.002 ↗
17. 10.1016/j.compositesb.2023.11077610.1016/j.compositesb.2023.110776 ↗
18. 10.1021/acsami.2c1358810.1021/acsami.2c13588 ↗
19. 10.1021/acsami.1c1440610.1021/acsami.1c14406 ↗
20. 10.1021/acsami.3c1515810.1021/acsami.3c15158 ↗
21. 10.1002/admi.20130001910.1002/admi.201300019 ↗
22. 10.1007/s10118-019-2317-x10.1007/s10118-019-2317-x ↗
23. 10.1016/j.colsurfa.2018.10.04410.1016/j.colsurfa.2018.10.044 ↗
24. 10.1016/j.colsurfa.2018.06.03510.1016/j.colsurfa.2018.06.035 ↗
25. 10.1021/acsami.8b1995010.1021/acsami.8b19950 ↗
26. 10.1021/nn305814q10.1021/nn305814q ↗
27. 10.1038/s41529-023-00360-710.1038/s41529-023-00360-7 ↗
28. 10.1039/c3cc43221a10.1039/c3cc43221a ↗
29. 10.1016/j.ccr.2021.21430910.1016/j.ccr.2021.214309 ↗
30. 10.1021/acsami.2c1615110.1021/acsami.2c16151 ↗
31. 10.1021/acsami.1c1605210.1021/acsami.1c16052 ↗
32. 10.1021/am900202810.1021/am9002028 ↗
33. 10.1002/anie.20141013910.1002/anie.201410139 ↗
34. 10.1038/nchem.164410.1038/nchem.1644 ↗
35. 10.1002/adma.20230010110.1002/adma.202300101 ↗
36. 10.1002/adma.20170430310.1002/adma.201704303 ↗
37. 10.1021/jz300855a10.1021/jz300855a ↗
38. 10.1038/s41565-020-0673-x10.1038/s41565-020-0673-x ↗
39. 10.1039/C4CS00010B10.1039/C4CS00010B ↗
40. 10.1039/C3CS60472A10.1039/C3CS60472A ↗
41. 10.1021/jacs.3c0198910.1021/jacs.3c01989 ↗
42. 10.1002/adma.20180329110.1002/adma.201803291 ↗
43. 10.1038/s41566-021-00769-z10.1038/s41566-021-00769-z ↗
44. 10.1021/acsnano.2c1025110.1021/acsnano.2c10251 ↗
45. 10.1039/D0CS00178C10.1039/D0CS00178C ↗
46. 10.1016/j.compscitech.2022.10956410.1016/j.compscitech.2022.109564 ↗
47. 10.1039/C6CC01955B10.1039/C6CC01955B ↗
48. 10.1021/jacs.3c0964810.1021/jacs.3c09648 ↗
49. 10.1002/adma.20120491310.1002/adma.201204913 ↗
50. 10.1021/acs.chemrev.9b0057510.1021/acs.chemrev.9b00575 ↗
51. 10.3390/ma1312288110.3390/ma13122881 ↗
52. 10.1016/j.jcis.2020.03.07610.1016/j.jcis.2020.03.076 ↗
53. 10.1016/j.apmt.2018.10.00110.1016/j.apmt.2018.10.001 ↗
54. 10.1002/anie.20150879510.1002/anie.201508795 ↗
55. 10.1021/acsami.7b1087210.1021/acsami.7b10872 ↗
56. 10.1021/am403523d10.1021/am403523d ↗
57. 10.1021/cs100062510.1021/cs1000625 ↗
58. 10.1016/j.saa.2004.06.02910.1016/j.saa.2004.06.029 ↗
59. 10.1016/j.matchemphys.2024.12934610.1016/j.matchemphys.2024.129346 ↗
60. 10.1016/j.micromeso.2013.10.00310.1016/j.micromeso.2013.10.003 ↗
61. 10.1016/j.jhazmat.2018.12.04710.1016/j.jhazmat.2018.12.047 ↗
62. 10.1016/j.cej.2020.12711810.1016/j.cej.2020.127118 ↗
63. 10.1016/j.apsusc.2018.01.18810.1016/j.apsusc.2018.01.188 ↗
64. 10.1016/j.jmst.2021.04.01910.1016/j.jmst.2021.04.019 ↗