Wafer-Scale Particle Assembly in Connected and Isolated Micromachined Pockets via PDMS Rubbing
Source abstract
Abstract
The present contribution reports on a study aiming to find the most suitable rubbing method for filling arrays of separated and interconnected micromachined pockets with individual microspheres on rigid, uncoated silicon substrates without breaking the particles or damaging the substrate. The explored dry rubbing methods generally yielded unsatisfactory results, marked by very large percentages of empty pockets and misplaced particles. On the other hand, the combination of wet rubbing with a patterned rubbing tool provided excellent results (typically <1% of empty pockets and <5% of misplaced particles). The wet method also did not leave any damage marks on the silicon substrate or the particles. When the pockets were aligned in linear grooves, markedly the best results were obtained when the ridge pattern of the rubbing tool was moved under a 45° angle with respect to the direction of the grooves. The method was tested for both silica and polystyrene particles. The proposed assembly method can be used in the production of medical devices, antireflective coatings, and microfluidic devices with applications in chemical analysis and/or catalysis.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Modular Robots and Swarm Intelligence · Electrowetting and Microfluidic Technologies · Advanced Materials and Mechanics
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Chemical Engineering CHIS, Vrije Universiteit Brussel, Brussels 1050, Belgium
Mesoscale Chemical Systems, University of Twente, Enschede 7522 NB, The Netherlands
Funding
H2020 European Research Council
References (41)
Show source-provided references
1. 10.1002/adma.20130587510.1002/adma.201305875 ↗
2. 10.1116/1.345618110.1116/1.3456181 ↗
3. 10.1016/j.cis.2017.04.00310.1016/j.cis.2017.04.003 ↗
4. 10.1002/1521-4095(20020916)14:18<1279::AID-ADMA1279>3.0.CO;2-A10.1002/1521-4095(20020916)14:18<1279::AID-ADMA1279>3.0.CO;2-A ↗
5. 10.1002/anie.20100145110.1002/anie.201001451 ↗
6. 10.1021/cr400081d10.1021/cr400081d ↗
7. 10.1021/ja905534k10.1021/ja905534k ↗
8. 10.1021/acsami.6b0827010.1021/acsami.6b08270 ↗
9. 10.1021/acs.langmuir.0c0095910.1021/acs.langmuir.0c00959 ↗
10. 10.1016/j.matdes.2022.11057310.1016/j.matdes.2022.110573 ↗
11. 10.1021/acs.langmuir.1c0185710.1021/acs.langmuir.1c01857 ↗
12. 10.1021/la950225110.1021/la9502251 ↗
13. 10.1016/j.elecom.2020.10686710.1016/j.elecom.2020.106867 ↗
14. 10.1039/D0RA00936A10.1039/D0RA00936A ↗
15. 10.1063/1.221883210.1063/1.2218832 ↗
16. 10.1038/nature0263010.1038/nature02630 ↗
17. 10.1021/la103778m10.1021/la103778m ↗
18. 10.1103/PhysRevLett.90.12830310.1103/PhysRevLett.90.128303 ↗
19. 10.1021/la035812y10.1021/la035812y ↗
20. 10.1021/la700512j10.1021/la700512j ↗
21. 10.1021/acs.jpcc.1c0709810.1021/acs.jpcc.1c07098 ↗
22. Israelachvili J. N. · 2011
23. 10.1016/j.powtec.2021.05.07910.1016/j.powtec.2021.05.079 ↗
24. 10.1038/srep0834010.1038/srep08340 ↗
25. 10.1039/D1LC00463H10.1039/D1LC00463H ↗
26. 10.1016/j.jpha.2018.12.00110.1016/j.jpha.2018.12.001 ↗
27. 10.1039/C9LC00318E10.1039/C9LC00318E ↗
28. 10.1016/j.aca.2018.01.06410.1016/j.aca.2018.01.064 ↗
29. 10.1021/acsami.5b0915410.1021/acsami.5b09154 ↗
30. 10.1117/3.60152010.1117/3.601520 ↗
31. 10.1088/1742-6596/757/1/01200510.1088/1742-6596/757/1/012005 ↗
32. 10.2144/00011251710.2144/000112517 ↗
33. 10.1038/nmeth.208910.1038/nmeth.2089 ↗
34. Abràmoff M. D. · Biophotonics Int. · 2004 · 11 · 36
35. 10.1080/0272635950890667710.1080/02726359508906677 ↗
36. 10.1039/D2SM00432A10.1039/D2SM00432A ↗
37. Stokes G. G. · Trans. Cambridge Philos. Soc. · 1901 · 9 · 1
38. 10.1103/PhysRevLett.110.18830210.1103/PhysRevLett.110.188302 ↗
39. 10.1021/la101721v10.1021/la101721v ↗
40. 10.1016/j.powtec.2021.01.03610.1016/j.powtec.2021.01.036 ↗
41. Madou M. J. · 201810.1201/9781482274004 ↗