Journal article

Fluorinated Metal-Organic Coatings with Selective Wettability

Shuaijun Pan, Joseph J Richardson, Andrew J Christofferson, Quinn A Besford, Tian Zheng, Barry J Wood, Xiaofei Duan, Maximiliano Jesus Jara Fornerod, Christopher F McConville, Irene Yarovsky, Stefan Guldin, Lei Jiang, Frank Caruso

JOURNAL OF THE AMERICAN CHEMICAL SOCIETY | AMER CHEMICAL SOC | Published : 2021

Abstract

Surface chemistry is a major factor that determines the wettability of materials, and devising broadly applicable coating strategies that afford tunable and selective surface properties required for next-generation materials remains a challenge. Herein, we report fluorinated metal-organic coatings that display water-wetting and oil-repelling characteristics, a wetting phenomenon different from responsive wetting induced by external stimuli. We demonstrate this selective wettability with a library of metal-organic coatings using catechol-based coordination and silanization (both fluorinated and fluorine-free), enabling sensing through interfacial reconfigurations in both gaseous and liquid en..

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Grants

Awarded by Australian Research Council Centre of Excellence in Convergent Bio-Nano Science and Technology


Awarded by National Health and Medical Research Council Senior Principal Research Fellowship


Awarded by National Natural Science Foundation of China


Awarded by Natural Science Foundation of Hunan Province of China


Awarded by UK Engineering and Physical Sciences Research Council


Awarded by National Computational Infrastructure of Australia


Funding Acknowledgements

This research was conducted and funded by the Australian Research Council Centre of Excellence in Convergent Bio-Nano Science and Technology (F. C., Project No. CE140100036). F.C. acknowledges the award of a National Health and Medical Research Council Senior Principal Research Fellowship (GNT1135806). This research was also supported by the National Natural Science Foundation of China (S. P., Grant No. 51703056), Natural Science Foundation of Hunan Province of China (S.P., Project No. 2018JJ3028), the UK Engineering and Physical Sciences Research Council (M.J.J.F. and S.G., EP/R035105/1), and the Pawsey Supercomputing Centre and the National Computational Infrastructure of Australia (I.Y., Grant Nos. e87 and LE170100200).