journal article·2023-09-22Open access

Different Roles of Surface Chemistry and Roughness of Laser-Induced Graphene: Implications for Tunable Wettability

Alexander Dallinger, Felix Steinwender, Matthias Gritzner, Francesco Greco

ACS Applied Nano Materials· Volume 6· Issue 18

Abstract

High Resolution Image Download MS PowerPoint Slide The control of surface wettability is a technological key aspect and usually poses considerable challenges connected to high cost, nanostructure, and durability, especially when aiming at surface patterning with high and extreme wettability contrast. This work shows a simple and scalable approach by using laser-induced graphene (LIG) and a locally inert atmosphere to continuously tune the wettability of a polyimide/LIG surface from hydrophilic to superhydrophobic (Φ ∼ 160°). This is related to the reduced amount of oxygen on the LIG surface, influenced by the local atmosphere. Furthermore, the influence of the roughness pattern of LIG on the wettability is investigated. Both approaches are combined, and the influence of surface chemistry and roughness is discussed. Measurements of the roll-off angle show that LIG scribed in an inert atmosphere with a low roughness has the highest droplet mobility with a roll-off angle of Φ RO = (1.7 ± 0.3)°. The superhydrophobic properties of the samples were maintained for over a year and showed no degradation after multiple uses. Applications of surfaces with extreme wettability contrast in millifluidics and fog basking are demonstrated. Overall, the proposed processing allows for the continuous tuning and patterning of the surface properties of LIG in a very accessible fashion useful for “lab-on-chip” applications.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Surface Modification and Superhydrophobicity · Electrohydrodynamics and Fluid Dynamics · Advanced Sensor and Energy Harvesting Materials

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Institute of Solid State Physics, NAWI Graz, Graz University of Technology, 8010 Graz, Austria

The Biorobotics Institute, Scuola Superiore Sant’Anna, Viale R. Piaggio 34, 56025 Pontedera, Italy

Department of Excellence in Robotics & AI, Scuola Superiore Sant’Anna, Piazza Martiri della Libertà 33, 56127 Pisa, Italy

Interdisciplinary Center on Sustainability and Climate, Scuola Superiore Sant’Anna, Piazza Martiri della Libertà 33, 56127 Pisa, Italy

Funding

H2020 Future and Emerging Technologies · Technische Universität Graz

References (66)

Show source-provided references
1. 10.1038/ncomms671410.1038/ncomms6714 ↗
2. 10.1126/sciadv.160157410.1126/sciadv.1601574 ↗
3. 10.1002/adfm.20190400010.1002/adfm.201904000 ↗
4. 10.1088/2053-1583/aa790e10.1088/2053-1583/aa790e ↗
5. 10.1088/2058-8585/aaed7710.1088/2058-8585/aaed77 ↗
6. 10.1021/acsnano.7b0626310.1021/acsnano.7b06263 ↗
7. 10.1021/acsnano.7b0853910.1021/acsnano.7b08539 ↗
8. 10.1002/adfm.20190277110.1002/adfm.201902771 ↗
9. 10.1021/acsanm.9b0179510.1021/acsanm.9b01795 ↗
10. 10.1021/acsnano.9b0259610.1021/acsnano.9b02596 ↗
11. 10.1002/adma.20170221110.1002/adma.201702211 ↗
12. 10.1021/acsami.0c0137710.1021/acsami.0c01377 ↗
13. 10.1002/smtd.20190020810.1002/smtd.201900208 ↗
14. 10.1002/adfm.20180527110.1002/adfm.201805271 ↗
15. 10.3390/mi1112109410.3390/mi11121094 ↗
16. 10.1002/admt.20200063010.1002/admt.202000630 ↗
17. 10.1002/aenm.20190179610.1002/aenm.201901796 ↗
18. 10.1021/acsami.8b1099110.1021/acsami.8b10991 ↗
19. 10.1109/JSEN.2020.303484510.1109/JSEN.2020.3034845 ↗
20. 10.1021/acsami.1c0561410.1021/acsami.1c05614 ↗
21. 10.1016/j.susmat.2020.e0020510.1016/j.susmat.2020.e00205 ↗
22. 10.1002/ente.20210045410.1002/ente.202100454 ↗
23. 10.1021/acsapm.0c0138510.1021/acsapm.0c01385 ↗
24. 10.1039/C8TB01285G10.1039/C8TB01285G ↗
25. 10.1002/adma.20190847510.1002/adma.201908475 ↗
26. 10.1063/5.010078510.1063/5.0100785 ↗
27. 10.1002/admt.20170020710.1002/admt.201700207 ↗
28. 10.1016/j.carbon.2020.03.00210.1016/j.carbon.2020.03.002 ↗
29. 10.1002/adma.20170049610.1002/adma.201700496 ↗
30. 10.1002/smll.20210332210.1002/smll.202103322 ↗
31. 10.1088/0034-4885/78/8/08650110.1088/0034-4885/78/8/086501 ↗
32. 10.1007/s11998-017-0011-x10.1007/s11998-017-0011-x ↗
33. 10.1007/s00425005009610.1007/s004250050096 ↗
34. 10.1146/annurev.matsci.38.060407.13243410.1146/annurev.matsci.38.060407.132434 ↗
35. 10.1007/s42247-019-00051-710.1007/s42247-019-00051-7 ↗
36. 10.1021/acs.jpcb.9b0856710.1021/acs.jpcb.9b08567 ↗
37. 10.1021/acsami.0c0314810.1021/acsami.0c03148 ↗
38. 10.1016/j.carbon.2017.10.03610.1016/j.carbon.2017.10.036 ↗
39. 10.1021/acsanm.1c0010110.1021/acsanm.1c00101 ↗
40. 10.1038/s41528-018-0047-810.1038/s41528-018-0047-8 ↗
41. 10.1021/acsnano.8b0962610.1021/acsnano.8b09626 ↗
42. 10.1016/j.surfcoat.2020.12574410.1016/j.surfcoat.2020.125744 ↗
43. 10.1016/j.apsusc.2022.15324210.1016/j.apsusc.2022.153242 ↗
44. 10.1063/5.009330110.1063/5.0093301 ↗
45. 10.1002/admi.20210150210.1002/admi.202101502 ↗
46. 10.1016/j.scitotenv.2020.13668710.1016/j.scitotenv.2020.136687 ↗
47. 10.1021/la061085610.1021/la0610856 ↗
48. 10.1038/nnano.2013.4610.1038/nnano.2013.46 ↗
49. 10.1021/acsnano.1c0419710.1021/acsnano.1c04197 ↗
50. 10.1021/la036411l10.1021/la036411l ↗
51. 10.1002/pi.114310.1002/pi.1143 ↗
52. 10.1002/smll.20220290610.1002/smll.202202906 ↗
53. 10.1007/s42242-022-00197-010.1007/s42242-022-00197-0 ↗
54. 10.1038/s41596-018-0003-z10.1038/s41596-018-0003-z ↗
55. 10.1002/admi.20220196710.1002/admi.202201967 ↗
56. 10.1002/app.1969.07013081510.1002/app.1969.070130815 ↗
57. 10.1021/ie50660a00810.1021/ie50660a008 ↗
58. 10.1016/0021-9797(86)90041-X10.1016/0021-9797(86)90041-X ↗
59. 10.1016/j.bios.2020.11204110.1016/j.bios.2020.112041 ↗
60. 10.1007/s10311-019-00950-510.1007/s10311-019-00950-5 ↗
61. 10.1186/1742-9994-7-2310.1186/1742-9994-7-23 ↗
62. 10.1038/3510210810.1038/35102108 ↗
63. 10.1021/acs.langmuir.7b0369910.1021/acs.langmuir.7b03699 ↗
64. 10.1016/j.apsusc.2013.08.01710.1016/j.apsusc.2013.08.017 ↗
65. 10.1021/acsanm.1c0029910.1021/acsanm.1c00299 ↗
66. 10.1039/D2LC00593J10.1039/D2LC00593J ↗