Evolution of the size and shape of 2D nanosheets during ultrasonic fragmentation
Source abstract
Abstract
Abstract 2-dimensional (2D) nanosheets such as graphene, graphene oxide, boron nitride or transition metal dichalcogenides can be produced on a large scale by exfoliation techniques. The lateral shape of these 2D materials is typically considered random and irregular, and their average size is often estimated using techniques characterized by strong approximations or poor statistical significance. Here we measure in a quantitative, objective way the size and shape of 2D monoatomic nanosheets using a combination of optical, electronic and scanning probe techniques. We measure, one by one, the size and shape of thousands of sheets of graphene oxide as they undergo a standard ultrasonication treatment. Using automatic image processing and statistical modelling we identify two different fragmentation processes in 2D at the nanoscale, related to two populations of nanosheets described by gamma and exponential size distributions respectively. The two populations of sheets coexist during the fragmentation process, each one retaining its average size and shape. Our results explain the size reduction commonly observed in nanosheets upon sonication as an effect of changes in the respective weights of the two populations of nanosheets present in the material.
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Research context
OpenAlex topics: Graphene research and applications · Graphene and Nanomaterials Applications · 2D Materials and Applications
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Istituto per la Sintesi Organica e la Fotoreattività - Consiglio Nazionale delle Ricerche (ISOF-CNR)
via del Fosso del Cavaliere
Università di Bologna
Italian Space Agency
University of Trento
Queen Mary University of London
Università di Messina
P.le E. Fermi 1
Funding
European Union Horizon 2020 Framework Programme · The European Research Council PoC 2015 “Silkene” · The European Commission H2020 with the Fet Proactive “Neurofibres”
References (51)
Show source-provided references
1. Coleman · Science · 2011 · 331 · 56810.1126/science.1194975 ↗
2. Ferrari · Nanoscale · 2015 · 7 · 459810.1039/C4NR01600A ↗
3. Novoselov · Nature · 2012 · 490 · 19210.1038/nature11458 ↗
4. Bianco · Carbon · 2013 · 65 · 110.1016/j.carbon.2013.08.038 ↗
5. Wick · Angew. Chem., Int. Ed. · 2014 · 53 · 771410.1002/anie.201403335 ↗
6. Paton · Nat. Mater. · 2014 · 13 · 62410.1038/nmat3944 ↗
7. Parvez · J. Am. Chem. Soc. · 2014 · 136 · 608310.1021/ja5017156 ↗
8. Xia · Adv. Funct. Mater. · 2013 · 23 · 468410.1002/adfm.201370188 ↗
9. De · ACS Nano · 2010 · 4 · 706410.1021/nn1025803 ↗
10. Valles · Faraday Discuss. · 2014 · 173 · 37910.1039/C4FD00112E ↗
11. Liscio · J. Mater. Chem. · 2011 · 21 · 292410.1039/c0jm02940h ↗
12. Guo · Environ. Sci. Technol. · 2012 · 46 · 771710.1021/es301377y ↗
13. Russier · Nanoscale · 2013 · 5 · 1123410.1039/c3nr03543c ↗
14. Mülhaupt · Angew. Chem., Int. Ed. · 2004 · 43 · 105410.1002/anie.200330070 ↗
15. Palermo · Chem. Commun. · 2013 · 49 · 284810.1039/c3cc37474b ↗
16. Kouroupis-Agalou · Nanoscale · 2014 · 6 · 592610.1039/c3nr06919b ↗
17. Limpert · Bioscience · 2001 · 51 · 34110.1641/0006-3568(2001)051[0341:LNDATS]2.0.CO;2 ↗
18. Treossi · J. Am. Chem. Soc. · 2009 · 131 · 1557610.1021/ja9055382 ↗
19. Zhang · 200910.1007/978-3-540-88447-7 ↗
20. Liscio · Chemphyschem · 2013 · 14 · 128310.1002/cphc.201200880 ↗
21. Cassagnau · 2015 · 5910.1016/B978-1-78548-036-2.50003-4 ↗
22. Mertens · Phys. Rev. E · 2012 · 8610.1103/PhysRevE.86.061109 ↗
23. Russ · 200010.1007/978-1-4615-1233-2 ↗
24. Gray · 1993
25. Goncalves · Sci. Rep. · 2014 · 4 · 673510.1038/srep06735 ↗
26. Lotya · Nanotechnology · 2013 · 2410.1088/0957-4484/24/26/265703 ↗
27. Schniepp · ACS Nano · 2008 · 2 · 257710.1021/nn800457s ↗
28. Bertoin · Probab. Theory Relat. · 2001 · 121 · 30110.1007/s004400100152 ↗
29. Krapivsky · Phys. Rev. E · 1994 · 50 · 350210.1103/PhysRevE.50.3502 ↗
30. Turcotte · J. Geophys. Res. · 1986 · 91 · 192110.1029/JB091iB02p01921 ↗
31. Falconer · 200310.1002/0470013850 ↗
32. Okabe · 1992
33. Erickson · Adv. Mater. · 2010 · 22 · 446710.1002/adma.201000732 ↗
34. Palermo · Adv. Mater. · 2016 · 28 · 623210.1002/adma.201505469 ↗
35. Grady · Int. J. Fract. · 2010 · 163 · 8510.1007/s10704-009-9418-4 ↗
36. Kucki · Nanoscale · 2016 · 8 · 874910.1039/C6NR00319B ↗
37. Audoly · Phys. Rev. Lett. · 2005 · 9510.1103/PhysRevLett.95.095505 ↗
38. Åström · Phys. Rev. Lett. · 2004 · 9210.1103/PhysRevLett.92.245506 ↗
39. Hennrich · J. Phys. Chem. B · 2007 · 111 · 193210.1021/jp065262n ↗
40. Ahir · Polymer · 2008 · 49 · 384110.1016/j.polymer.2008.05.005 ↗
41. Gomez-Navarro · Nano Lett. · 2007 · 7 · 349910.1021/nl072090c ↗
42. Suk · ACS Nano · 2010 · 4 · 655710.1021/nn101781v ↗
43. Cao · Carbon · 2015 · 81 · 49710.1016/j.carbon.2014.09.082 ↗
44. Kim · Acc. Chem. Res. · 2012 · 45 · 135610.1021/ar300047s ↗
45. Stepto · Pure Appl. Chem. · 2009 · 81 · 35110.1351/PAC-REC-08-05-02 ↗
46. Rudin · 2013
47. Geiduschek · Adv. Biol. Med. Phys. · 1958 · 6 · 43110.1016/B978-1-4832-3112-9.50014-1 ↗
48. Brown · Astrophys. Space Sci. · 1983 · 94 · 40110.1007/BF00653729 ↗
49. Rodriguez-Pastor · Carbon · 2015 · 84 · 29910.1016/j.carbon.2014.12.027 ↗
50. Rourke · Angew. Chem., Int. Ed. · 2011 · 50 · 317310.1002/anie.201007520 ↗
51. Thomas · Chem. Mater. · 2013 · 25 · 358010.1021/cm401922e ↗