Issue 35, 2018

A self-sensing, superhydrophobic, heterogeneous graphene network with controllable adhesion behavior

Abstract

Smart superhydrophobic surfaces with controllable adhesion behavior or sensing capability have become a research hotspot in many areas, such as self-cleaning and microdroplet transportation. Herein, we design and fabricate a superhydrophobic, open-cell graphene network with a polypropylene coating (PP/OCGN) via a new method of boiling coating. The adhesive force of PP/OCGN for water droplets can be controlled easily from 66.8 μN to 32.3 μN by adjusting the soaking time. Using the PP/OCGN with controllable adhesion behavior, the lossless transportation of water microdroplets has been achieved. What's more, because of the boiling coating process, the PP/OCGN exhibits a heterogeneous network, which has the coated graphene on the surface and the uncoated graphene in the inner part. By means of the special network and strong water repellency of PP/OCGN, we report for the first time a conductive, superhydrophobic graphene material with a self-sensing capability for continuously falling water droplets. When the water droplets fall on the surface, the PP/OCGN with low adhesive force not only makes the droplets bounce off successfully, but also has a rapid response to the bouncing process through changing the resistance. The size of falling water droplets can also be determined. Therefore, our multifunctional superhydrophobic PP/OCGN can meet multiple needs simultaneously, such as self-cleaning and detecting raindrops, and it has great application prospects in the future.

Graphical abstract: A self-sensing, superhydrophobic, heterogeneous graphene network with controllable adhesion behavior

Supplementary files

Article information

Article type
Paper
Submitted
02 Jul 2018
Accepted
31 Jul 2018
First published
04 Aug 2018

J. Mater. Chem. A, 2018,6, 16992-17000

A self-sensing, superhydrophobic, heterogeneous graphene network with controllable adhesion behavior

G. Ding, W. Jiao, L. Chen, M. Yan, L. Hao and R. Wang, J. Mater. Chem. A, 2018, 6, 16992 DOI: 10.1039/C8TA06303F

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