journal article·2020-10-21

Ultrafast Microdroplet Generation and High-Density Microparticle Arraying Based on Biomimetic Nepenthes Peristome Surfaces

Zhiting Peng, Yan Chen, Tianzhun Wu

ACS Applied Materials & Interfaces· Volume 12· Issue 42
Publisher page

Abstract

Manipulation of massive droplets, particles, as well as cells has enabled wide applications. However, most existing technologies require complicated processes, operations, or external setup. This article demonstrates the employment of biomimetic Nepenthes peristome surfaces (NPS) in achieving ultrafast microdroplet generation and high-density microparticle arraying, with the assistance of curvature-induced Laplace pressure in slipping mode and evaporation-driven Marangoni effect in climbing mode, respectively. Different wetting phenomena on the biomimetic NPS were observed under variable contact angles and tilting angles, strongly affecting the microdroplet generation and microparticle array. As the optimal results, 5 μm-size microparticles were arrayed with 85% coverage rate in 65 s and 20 μm-size microdroplets were arrayed with 100% coverage rate in 3 s. In this study, this well-designed bionic surface shows excellent performances as an ultrafast, universal, and straightforward approach to capture and array micro-objects in aqueous solutions for various biological and chemical analyses.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Innovative Microfluidic and Catalytic Techniques Innovation · Nanomaterials and Printing Technologies · Microfluidic and Bio-sensing Technologies

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

Affiliations

Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China

Key Laboratory of Health Bioinformatics, Chinese Academy of Sciences, Shenzhen 518055, China

Funding

Guangdong Science and Technology Research Program · CAS Key Laboratory on Health Bioinformatics · Shenzhen Science and Technology Research Program

References (59)

Show source-provided references
1. 10.1021/ac800972t10.1021/ac800972t ↗
2. 10.1039/C7AY00656J10.1039/C7AY00656J ↗
3. 10.1016/j.aca.2009.07.01710.1016/j.aca.2009.07.017 ↗
4. 10.1021/acs.nanolett.8b0118410.1021/acs.nanolett.8b01184 ↗
5. 10.1039/C6LC00968A10.1039/C6LC00968A ↗
6. 10.1146/annurev.bioeng.4.112601.12591610.1146/annurev.bioeng.4.112601.125916 ↗
7. 10.1039/b510841a10.1039/b510841a ↗
8. 10.1103/PhysRevLett.87.27450110.1103/PhysRevLett.87.274501 ↗
9. 10.1063/1.153751910.1063/1.1537519 ↗
10. 10.1073/pnas.120918611010.1073/pnas.1209186110 ↗
11. 10.1073/pnas.060662510410.1073/pnas.0606625104 ↗
12. 10.1002/anie.20090665310.1002/anie.200906653 ↗
13. 10.1063/1.474675410.1063/1.4746754 ↗
14. 10.1109/JMEMS.2019.291264910.1109/JMEMS.2019.2912649 ↗
15. 10.1038/s41598-018-37454-110.1038/s41598-018-37454-1 ↗
16. 10.1039/c2lc40632b10.1039/c2lc40632b ↗
17. 10.1016/j.aca.2017.10.03010.1016/j.aca.2017.10.030 ↗
18. 10.1097/OPX.0b013e3181da863e10.1097/OPX.0b013e3181da863e ↗
19. 10.1021/nl404233z10.1021/nl404233z ↗
20. 10.1007/s10404-015-1568-210.1007/s10404-015-1568-2 ↗
21. 10.1002/elps.20190009710.1002/elps.201900097 ↗
22. 10.1038/s41598-019-48198-x10.1038/s41598-019-48198-x ↗
23. 10.1063/1.194736810.1063/1.1947368 ↗
24. 10.1103/PhysRevB.85.17444010.1103/PhysRevB.85.174440 ↗
25. 10.1039/C4LC01422G10.1039/C4LC01422G ↗
26. 10.1039/C8LC00458G10.1039/C8LC00458G ↗
27. 10.1038/nature1718910.1038/nature17189 ↗
28. 10.1002/smll.20160167610.1002/smll.201601676 ↗
29. 10.1002/adma.20170299510.1002/adma.201702995 ↗
30. 10.1007/s00032-002-0001-y10.1007/s00032-002-0001-y ↗
31. 10.1126/sciadv.aao353010.1126/sciadv.aao3530 ↗
32. 10.1063/1.496103210.1063/1.4961032 ↗
33. 10.1021/acs.langmuir.6b0359510.1021/acs.langmuir.6b03595 ↗
34. 10.1039/C7TA01609C10.1039/C7TA01609C ↗
35. 10.1016/0095-8522(62)90011-910.1016/0095-8522(62)90011-9 ↗
36. 10.1021/la047527010.1021/la0475270 ↗
37. 10.1016/0029-5493(79)90130-410.1016/0029-5493(79)90130-4 ↗
38. 10.1016/j.ces.2011.11.00910.1016/j.ces.2011.11.009 ↗
39. 10.1103/PhysRevE.82.01530510.1103/PhysRevE.82.015305 ↗
40. 10.1039/c2sm25871d10.1039/c2sm25871d ↗
41. 10.1038/3982710.1038/39827 ↗
42. 10.1088/0953-8984/23/18/18410810.1088/0953-8984/23/18/184108 ↗
43. 10.1088/0034-4885/68/11/R0110.1088/0034-4885/68/11/R01 ↗
44. 10.1103/RevModPhys.57.82710.1103/RevModPhys.57.827 ↗
45. 10.1039/C6CS00902F10.1039/C6CS00902F ↗
46. 10.1016/j.snb.2011.04.06510.1016/j.snb.2011.04.065 ↗
47. Peng, Z., Wu, T., Shu, W.; Wang, Y. Facile and High-Efficiency Microbead Array Based on Biomimetic Nepenthes Peristome Surfaces. In 32nd International Conference on Micro Electro Mechanical Systems (MEMS); IEEE: Korea, 2019; pp 229–232.10.1109/MEMSYS.2019.8870716 ↗
48. 10.1088/0022-3727/29/1/02610.1088/0022-3727/29/1/026 ↗
49. 10.1021/la015518a10.1021/la015518a ↗
50. 10.1007/BF0004638510.1007/BF00046385 ↗
51. 10.1021/la101110t10.1021/la101110t ↗
52. 10.1073/pnas.63.2.29210.1073/pnas.63.2.292 ↗
53. 10.1021/la00036a05910.1021/la00036a059 ↗
54. 10.1103/PhysRevE.97.04260210.1103/PhysRevE.97.042602 ↗
55. 10.1039/C6LC01120A10.1039/C6LC01120A ↗
56. 10.1098/rsif.2008.005210.1098/rsif.2008.0052 ↗
57. 10.1063/1.500200110.1063/1.5002001 ↗
58. 10.1002/lpor.20180022710.1002/lpor.201800227 ↗
59. 10.1002/tcr.20180001810.1002/tcr.201800018 ↗