Surface Acoustic Wave Mitigation of Precipitate Deposition on a Solid Surface─An Active Self-Cleaning Strategy
Source abstract
Abstract
We demonstrate the application of a 20 MHz frequency surface acoustic wave (SAW) in a solid substrate to render its surface "self-cleaning", redirecting the deposition of precipitating mass onto a nearby inert substrate. In our experiment, we confine a solution of poly(methyl methacrylate) polymer and a volatile toluene solvent between two substrates, lithium niobate and glass, at close proximity. We render the glass surface low energy by employing hydrophobic coating. In the absence of SAW excitation, we observe that the evaporation of the solvent yields polymer coating on the higher energy lithium niobate surface, while the glass surface is mostly devoid of polymer deposits. The application of a propagating SAW in the lithium niobate substrate mitigates the deposition of the polymer on its surface. As a response, we observe an increase in the deposition of the polymer precipitates on glass. Above a SAW power threshold, the polymer appears to deposit solely on glass, leaving the surface of the lithium niobate substrate devoid of polymer mass.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Nanomaterials and Printing Technologies · Surface Modification and Superhydrophobicity · Microfluidic and Bio-sensing Technologies
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
The Wolfson Faculty Department of Chemical Engineering, Technion─Israel Institute of Technology, Haifa 3200003, Israel
The Nancy & Stephen Grand Technion Energy Program (GTEP), Technion Israel Institute of Technology, Haifa 3200003, Israel
Funding
Israel Science Foundation
References (35)
Show source-provided references
1. USGS · 2021
2. Kudo H. · 2015
3. Moghanloo R. G. · 2018
4. Based on Data from the Water Quality Association, 2021 https://wqa.org/.
5. 10.1021/la040101110.1021/la0401011 ↗
6. 10.1039/b711226b10.1039/b711226b ↗
7. 10.1039/b712575p10.1039/b712575p ↗
8. 10.1103/revmodphys.57.82710.1103/revmodphys.57.827 ↗
9. 10.1039/c5sm01809a10.1039/c5sm01809a ↗
10. 10.1021/j100789a01210.1021/j100789a012 ↗
11. 10.1021/la951021n10.1021/la951021n ↗
12. 10.1063/1.294580310.1063/1.2945803 ↗
13. 10.1063/1.353336210.1063/1.3533362 ↗
14. 10.1021/la500692410.1021/la5006924 ↗
15. 10.1039/c1sm06054f10.1039/c1sm06054f ↗
16. 10.1017/jfm.2012.29310.1017/jfm.2012.293 ↗
17. 10.1038/ncomms216810.1038/ncomms2168 ↗
18. 10.1103/physreve.91.05301510.1103/physreve.91.053015 ↗
19. 10.1063/1.493208610.1063/1.4932086 ↗
20. 10.1063/1.495541410.1063/1.4955414 ↗
21. 10.1017/jfm.2016.72810.1017/jfm.2016.728 ↗
22. 10.1038/3982710.1038/39827 ↗
23. 10.1103/physreve.61.47510.1103/physreve.61.475 ↗
24. 10.1016/j.physrep.2019.01.00810.1016/j.physrep.2019.01.008 ↗
25. 10.1039/c2sm26574e10.1039/c2sm26574e ↗
26. 10.1016/j.cis.2013.11.00210.1016/j.cis.2013.11.002 ↗
27. 10.1039/c6sm00579a10.1039/c6sm00579a ↗
28. 10.1016/j.jcis.2019.03.10310.1016/j.jcis.2019.03.103 ↗
29. 10.1039/c5sm01196e10.1039/c5sm01196e ↗
30. 10.1021/acs.langmuir.6b0134110.1021/acs.langmuir.6b01341 ↗
31. 10.1021/acs.langmuir.8b0226810.1021/acs.langmuir.8b02268 ↗
32. 10.1016/j.colsurfa.2018.02.03810.1016/j.colsurfa.2018.02.038 ↗
33. 10.1080/002184670854458210.1080/0021846708544582 ↗
34. 10.1002/app.1969.07013081510.1002/app.1969.070130815 ↗
35. 10.1134/s106377452005022310.1134/s1063774520050223 ↗