Unexpected spontaneous dynamic oxygen migration on carbon nanotubes
Source abstract
Abstract
Combining density functional theory (DFT) calculations and ab initio molecular dynamics (AIMD) simulations, we show that oxygen functional groups exhibit unexpected spontaneous dynamic behaviors on the interior surface of single-walled carbon nanotubes (SWCNTs). The hydroxyl and epoxy migrations are achieved by the C-O bond breaking/reforming reactions or the proton transfer reaction between the neighboring epoxy and hydroxyl groups. It is demonstrated that the spontaneous dynamic characteristic is attributed to the sharply reduced energy barrier less than or comparable to thermal fluctuations. We also observe a stable intermediate state with a dangling C-O bond, which permits the successive migration of the oxygen functional groups. However, on the exterior surface of SWCNTs, it is difficult for the oxygen groups to migrate spontaneously because there are relatively high energy barriers, and the dangling C-O bond prefers to transform into the more stable epoxy configuration. The spontaneous oxygen migration is further confirmed by the oxygen migration process using DFT calculations and AIMD simulations at room temperature. Our work provides a new understanding of the behavior of oxygen functional groups at interfaces and gives a potential route to design new carbon-based dynamic materials.
Source: europepmc · Quality: candidate unverified · Source record ↗
Research context
OpenAlex topics: Carbon Nanotubes in Composites · Porphyrin and Phthalocyanine Chemistry · Transition Metal Oxide Nanomaterials
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
College of Physical Science and Technology, Yangzhou University, Jiangsu, 225009, China
Funding
National Natural Science Foundation of China · Natural Science Foundation of Jiangsu Province
References (52)
Show source-provided references
1. Fedoseeva · Appl. Surf. Sci. · 2020 · 504 · 14435710.1016/j.apsusc.2019.144357 ↗
2. Gupta · J. Mol. Liq. · 2017 · 230 · 66710.1016/j.molliq.2017.01.083 ↗
3. Xu · Chemosphere · 2018 · 195 · 35110.1016/j.chemosphere.2017.12.061 ↗
4. Zhang · ChemSusChem · 2019 · 12 · 144310.1002/cssc.201802725 ↗
5. Cao · Carbon · 2018 · 133 · 46410.1016/j.carbon.2018.03.045 ↗
6. Suryanto · ACS Appl. Mater. Interfaces · 2016 · 8 · 3551310.1021/acsami.6b14090 ↗
7. Maurin · Chem. Commun. · 2016 · 52 · 1208410.1039/C6CC05430G ↗
8. Zakaria · Chem. Phys. Lett. · 2015 · 633 · 27310.1016/j.cplett.2015.06.004 ↗
9. Mao · ACS Appl. Mater. Interfaces · 2019 · 11 · 1015310.1021/acsami.8b20726 ↗
10. El-Sayed · Sci. Rep. · 2016 · 6 · 2131610.1038/srep21316 ↗
11. Ali · ACS Appl. Mater. Interfaces · 2015 · 7 · 583710.1021/am509002h ↗
12. Li · ChemSusChem · 2020 · 13 · 276110.1002/cssc.202000289 ↗
13. Rizzuto · Sep. Purif. Technol. · 2018 · 193 · 37810.1016/j.seppur.2017.10.025 ↗
14. Hong · J. Mater. Chem. A · 2019 · 7 · 358310.1039/C8TA10941A ↗
15. Bhadra · ACS Appl. Mater. Interfaces · 2016 · 8 · 1950710.1021/acsami.6b05644 ↗
16. Wang · J. Exp. Nanosci. · 2017 · 13 · 1110.1080/17458080.2017.1405163 ↗
17. Yang · New J. Chem. · 2017 · 41 · 1432510.1039/C7NJ02466E ↗
18. Sharma · Artif. Cells, Nanomed., Biotechnol. · 2016 · 44 · 185110.3109/21691401.2015.1111227 ↗
19. Li · Int. J. Pharm. · 2017 · 524 · 4110.1016/j.ijpharm.2017.03.017 ↗
20. Zhou · Sensors · 2019 · 19 · 39210.3390/s19020392 ↗
21. Eguilaz · Biosens. Bioelectron. · 2016 · 86 · 30810.1016/j.bios.2016.06.003 ↗
22. Kang · Adv. Funct. Mater. · 2011 · 21 · 10810.1002/adfm.201001692 ↗
23. Zhang · Carbon · 2020 · 166 · 43610.1016/j.carbon.2020.05.040 ↗
24. Yang · Angew. Chem., Int. Ed. · 2014 · 53 · 1019010.1002/anie.201404144 ↗
25. Gerber · Chemistry · 2011 · 17 · 1146710.1002/chem.201101438 ↗
26. Ernst · J. Phys. Chem. C · 2017 · 121 · 1888710.1021/acs.jpcc.7b03062 ↗
27. Wang · J. Phys. Chem. B · 2017 · 121 · 790710.1021/acs.jpcb.7b07170 ↗
28. Chen · Colloids Surf., B · 2019 · 173 · 38610.1016/j.colsurfb.2018.09.080 ↗
29. Pavese · J. Phys.: Condens. Matter · 2008 · 20 · 474206
30. Jiang · Carbon · 2017 · 111 · 20710.1016/j.carbon.2016.09.081 ↗
31. Sun · Carbon · 2017 · 122 · 46210.1016/j.carbon.2017.07.006 ↗
32. Kumar · Prog. Energy Combust. Sci. · 2018 · 64 · 21910.1016/j.pecs.2017.10.005 ↗
33. Zhao · Nano Lett. · 2010 · 10 · 430910.1021/nl1008713 ↗
34. Xu · J. Appl. Phys. · 2016 · 49 · 285302
35. Qi · Appl. Math. Mech. · 2011 · 32 · 110110.1007/s10483-011-1484-x ↗
36. Tu · J. Chem. Phys. · 2013 · 138 · 01510410.1063/1.4773221 ↗
37. Lv · J. Chem. Phys. · 2014 · 141 · 04470710.1063/1.4890725 ↗
38. Tu · Proc. Natl. Acad. Sci. U. S. A. · 2009 · 206 · 1812010.1073/pnas.0902676106 ↗
39. Xiu · Nanoscale · 2012 · 4 · 65210.1039/C1NR10793C ↗
40. Tu · Nanoscale · 2010 · 2 · 197610.1039/c0nr00304b ↗
41. Xiu · J. Am. Chem. Soc. · 2009 · 131 · 284010.1021/ja804586w ↗
42. Tian · J. Chem. Phys. · 2013 · 138 · 20471110.1063/1.4807484 ↗
43. Wang · J. Electron. Mater. · 2017 · 46 · 385710.1007/s11664-016-5244-4 ↗
44. Brandao · J. Phys.: Condens. Matter · 2010 · 22 · 334222
45. Kim · Carbon · 2012 · 50 · 310.1016/j.carbon.2011.08.011 ↗
46. Russell · Chem. Phys. Lett. · 2012 · 536 · 910.1016/j.cplett.2012.03.080 ↗
47. Miners · Chem. Soc. Rev. · 2016 · 45 · 472710.1039/C6CS00090H ↗
48. Yu · J. Chem. Phys. · 2016 · 145 · 13090110.1063/1.4963168 ↗
49. Lee · Phys. Rev. B: Condens. Matter Mater. Phys. · 1988 · 37 · 78510.1103/PhysRevB.37.785 ↗
50. Kresse · Phys. Rev. B: Condens. Matter Mater. Phys. · 1996 · 54 · 1116910.1103/PhysRevB.54.11169 ↗
51. Tu · Chin. Phys. Lett. · 2020 · 37 · 06680310.1088/0256-307X/37/6/066803 ↗
52. Wildgoose · Small · 2006 · 2 · 18210.1002/smll.200500324 ↗