journal article·2026-05-06

A Bioinspired Aerodynamically Enhanced Fog Collector for High-Efficiency Water Collection and Agricultural Irrigation

Xinran Dong, Wei Liu, Yuxin Song, Xiongfeng Zhou, Cong Wang, Ji-an Duan

ACS Applied Materials & Interfaces· Volume 18· Issue 17
Publisher page

Abstract

Fog collection is a promising passive strategy to alleviate freshwater scarcity but conventional planar fog collectors often suffer from limited aerodynamic capture and slow surface renewal. Here, we propose a microchannel-enhanced scallop-inspired origami fog collector (ME-SOFC) that synergistically integrates a bioinspired origami ridge-valley architecture with hybrid wettability of superhydrophilic (SHL) microchannels on a superhydrophobic (SHB) surface. The 3D origami geometry induces near-surface air flow separation and vortices that decelerate incoming fog-laden air, suppress droplet escape, and increase droplet-surface collision probability. Meanwhile, laser-fabricated SHL microchannels act as directional “highways” that guide droplet convergence, promote rapid shedding, and maintain a high surface refresh rate of 38%, approximately four times that of a pure SHB planar collector. The ME-SOFC achieves a peak water collection rate of 1797.29 mg·cm –2 ·h –1, representing a 119% improvement over a planar fog collector and a 52% improvement over a microchannel-enhanced planar collector, while sustaining stable performance of 1600 mg·cm –2 ·h –1 over 10 h. Finally, a scalable 0.4 m 2 ME-SOFC array was integrated into a microirrigation system that harvested 2641.71 g of water in 2 h and enabled 100% mung bean sprouts to achieve a 100% germination rate within 3 days. This scalable bioinspired design provides a practical route toward high-efficiency fog harvesting for sustainable agricultural irrigation in water-limited, fog-rich environments.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Solar-Powered Water Purification Methods · Surface Modification and Superhydrophobicity · Innovations in Aquaponics and Hydroponics Systems

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

Affiliations

Changsha Technology Innovation Center for Intelligent Manufacturing of Complex Components, College of Mechanical and Intelligent Manufacturing, Central South University of Forestry and Technology, 498 South Shaoshan Street, Changsha 410004, China

Department of Mechanical Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong 999077, China

State Key Laboratory of Precision Manufacturing for Extreme Service Performance, College of Mechanical and Electrical Engineering, Central South University, 932 South Lushan Street, Changsha 410083, China

Funding

Natural Science Foundation of Hunan Province of China · Excellent Youth Project of Hunan Provincial Department of Education

References (53)

Show source-provided references
1. 10.1080/27678490.2022.209086710.1080/27678490.2022.2090867 ↗
2. 10.3390/w1209234710.3390/w12092347 ↗
3. 10.1016/j.cej.2023.14651910.1016/j.cej.2023.146519 ↗
4. 10.1021/la402409f10.1021/la402409f ↗
5. 10.1002/adfm.20252818810.1002/adfm.202528188 ↗
6. 10.1021/acs.langmuir.3c0305610.1021/acs.langmuir.3c03056 ↗
7. 10.1007/s00024-007-0211-x10.1007/s00024-007-0211-x ↗
8. 10.1021/acsami.1c0212110.1021/acsami.1c02121 ↗
9. 10.1021/acsabm.3c0085910.1021/acsabm.3c00859 ↗
10. 10.1016/j.nantod.2023.10197910.1016/j.nantod.2023.101979 ↗
11. 10.1002/smll.20170140310.1002/smll.201701403 ↗
12. 10.1098/rsta.2018.026910.1098/rsta.2018.0269 ↗
13. 10.1016/j.cej.2023.14504210.1016/j.cej.2023.145042 ↗
14. 10.1016/j.cej.2025.16074710.1016/j.cej.2025.160747 ↗
15. 10.1038/nature0872910.1038/nature08729 ↗
16. 10.1039/C9NR04065J10.1039/C9NR04065J ↗
17. 10.1016/j.jmapro.2023.05.04510.1016/j.jmapro.2023.05.045 ↗
18. 10.1002/adma.20221159610.1002/adma.202211596 ↗
19. 10.1016/j.cej.2025.17246310.1016/j.cej.2025.172463 ↗
20. 10.29026/oea.2021.21000810.29026/oea.2021.210008 ↗
21. 10.3390/molecules1904425610.3390/molecules19044256 ↗
22. 10.3390/biomimetics704019610.3390/biomimetics7040196 ↗
23. 10.1021/acsami.4c1188310.1021/acsami.4c11883 ↗
24. 10.1016/j.cej.2024.15472810.1016/j.cej.2024.154728 ↗
25. 10.1007/s10853-019-04046-x10.1007/s10853-019-04046-x ↗
26. 10.1021/acsami.1c0919410.1021/acsami.1c09194 ↗
27. 10.1016/j.chaos.2025.11662510.1016/j.chaos.2025.116625 ↗
28. 10.1039/C5TA04930J10.1039/C5TA04930J ↗
29. 10.1021/acsami.4c0825410.1021/acsami.4c08254 ↗
30. 10.1016/j.seppur.2024.13137810.1016/j.seppur.2024.131378 ↗
31. 10.1016/j.optlastec.2021.10759310.1016/j.optlastec.2021.107593 ↗
32. 10.1016/j.cej.2020.12428310.1016/j.cej.2020.124283 ↗
33. 10.1021/acssuschemeng.5c0488910.1021/acssuschemeng.5c04889 ↗
34. 10.1038/s41598-025-04345-110.1038/s41598-025-04345-1 ↗
35. 10.1016/j.jcis.2024.12.14810.1016/j.jcis.2024.12.148 ↗
36. 10.1016/j.colcom.2020.10028310.1016/j.colcom.2020.100283 ↗
37. 10.1002/adfm.20221073010.1002/adfm.202210730 ↗
38. 10.1038/s41467-021-25764-410.1038/s41467-021-25764-4 ↗
39. 10.1039/D5MH00553A10.1039/D5MH00553A ↗
40. 10.1021/acsami.3c0734310.1021/acsami.3c07343 ↗
41. 10.1007/s00170-017-1538-910.1007/s00170-017-1538-9 ↗
42. 10.1016/j.jmatprotec.2004.04.03210.1016/j.jmatprotec.2004.04.032 ↗
43. 10.1021/acsami.5c1045910.1021/acsami.5c10459 ↗
44. 10.1016/j.cej.2026.17456410.1016/j.cej.2026.174564 ↗
45. 10.1016/j.surfcoat.2020.12593410.1016/j.surfcoat.2020.125934 ↗
46. 10.1007/s10800-010-0078-x10.1007/s10800-010-0078-x ↗
47. 10.1021/acsomega.7b0125610.1021/acsomega.7b01256 ↗
48. 10.1016/j.apsusc.2017.01.19910.1016/j.apsusc.2017.01.199 ↗
49. 10.1146/annurev.fl.15.010183.00224110.1146/annurev.fl.15.010183.002241 ↗
50. 10.1063/1.295917110.1063/1.2959171 ↗
51. 10.1016/0376-0421(79)90002-210.1016/0376-0421(79)90002-2 ↗
52. 10.1063/1.170353110.1063/1.1703531 ↗
53. 10.1142/S179329202350086810.1142/S1793292023500868 ↗