2018
DOI: 10.1038/am.2017.218
|View full text |Cite
|
Sign up to set email alerts
|

Pneumatic smart surfaces with rapidly switchable dominant and latent superhydrophobicity

Abstract: Smart surfaces that possess switchable wettability are highly desired for a broad range of applications. However, the realization of novel approaches enabling complete alteration of surface properties independent of chemical environment and special materials is still challenging. Herein, inspired by the air sacs of insects, we fabricate a pneumatic smart surface that possesses dual-property wetting behavior and permits fast switching between states. The pneumatic surface is based on an embedded micro-air-sac n… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
26
0

Year Published

2018
2018
2023
2023

Publication Types

Select...
9

Relationship

1
8

Authors

Journals

citations
Cited by 36 publications
(26 citation statements)
references
References 40 publications
0
26
0
Order By: Relevance
“…Organisms in nature use their unique surface structures to directionally and spontaneously transport droplets. In practical applications, droplets manipulation is crucial for bioassays , and chemical microreactions. , Artificial passive droplet manipulation surfaces have been already prepared for energy-free droplets manipulation. However, they are usually inefficient and irreversible. In contrast, intelligent topography surfaces can dynamically and reversibly change the surface topography in response to external stimuli, such as mechanical forces, pneumatic stimuli, wet stimuli, , and magnetic fields, so as to realize the horizontal or vertical , droplets manipulation. Among them, the magnetically responsive intelligent topography (MIT) surfaces have gained great expectations for active droplet manipulation due to their incomparable advantages including biocompatibility, instantaneous response, and battery-free remote control. , …”
mentioning
confidence: 99%
“…Organisms in nature use their unique surface structures to directionally and spontaneously transport droplets. In practical applications, droplets manipulation is crucial for bioassays , and chemical microreactions. , Artificial passive droplet manipulation surfaces have been already prepared for energy-free droplets manipulation. However, they are usually inefficient and irreversible. In contrast, intelligent topography surfaces can dynamically and reversibly change the surface topography in response to external stimuli, such as mechanical forces, pneumatic stimuli, wet stimuli, , and magnetic fields, so as to realize the horizontal or vertical , droplets manipulation. Among them, the magnetically responsive intelligent topography (MIT) surfaces have gained great expectations for active droplet manipulation due to their incomparable advantages including biocompatibility, instantaneous response, and battery-free remote control. , …”
mentioning
confidence: 99%
“…The pneumatic surface consisted of two elastomer layers, including a structured substrate with microchannels and a cover slice. Both of the two layers were made from polydimethylsiloxane (PDMS) elastomer (Sylgard 184 silicone, Dow Corning, MA, USA) which is widely used in soft-actuated systems and lab-on-a-chip (LoC) devices [21][22][23], due to their high flexibility and ease of processing. The pattern of microchannels was first defined by photolithography.…”
Section: Methodsmentioning
confidence: 99%
“…This smart surface shows potential in droplet manipulations by movable joints. Similarly, this group developed pneumatic surfaces by embedding micro-air-sac network in an elastomer ( Figure 1k ; Wang et al, 2018a ). The surface exposes one surface and hiding the other by deflation and inflation.…”
Section: Surfaces With Switchable Wettabilitymentioning
confidence: 99%
“…(k) Pneumatic response. Reproduced under the terms of the CC-BY Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/ ) (Wang et al, 2018a ). Copyright 2018, the authors, published by Springer Nature.…”
Section: Introductionmentioning
confidence: 99%