Journal article

Particle engineering enabled by polyphenol-mediated supramolecular networks.

Jiajing Zhou, Zhixing Lin, Matthew Penna, Shuaijun Pan, Yi Ju, Shiyao Li, Yiyuan Han, Jingqu Chen, Gan Lin, Joseph J Richardson, Irene Yarovsky, Frank Caruso

Nature Communications | Nature Research | Published : 2020


We report a facile strategy for engineering diverse particles based on the supramolecular assembly of natural polyphenols and a self-polymerizable aromatic dithiol. In aqueous conditions, uniform and size-tunable supramolecular particles are assembled through π-π interactions as mediated by polyphenols. Owing to the high binding affinity of phenolic motifs present at the surface, these particles allow for the subsequent deposition of various materials (i.e., organic, inorganic, and hybrid components), producing a variety of monodisperse functional particles. Moreover, the solvent-dependent disassembly of the supramolecular networks enables their removal, generating a wide range of correspond..

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Awarded by Australian Research Council

Awarded by National Health and Medical Research Council

Funding Acknowledgements

We thank Ms. Y. Hu, Dr. H. Duan, Dr. D. Lu, Dr. M. Faria, and Dr. R. Lafleur for helpful discussions. This work was performed in part at the Materials Characterisation and Fabrication Platform (MCFP) at The University of Melbourne, the Victorian Node of the Australian National Fabrication Facility (ANFF), and Bio21 Advanced Microscopy Facility at The University of Melbourne. We acknowledge T. Zheng from MCFP for assistance with AFM measurements. Part of the research experiments were performed on the SAXS/WAXS beamline of the Australian Synchrotron, ANSTO. This research was conducted and funded by the Australian Research Council (ARC) Centre of Excellence in Convergent Bio-Nano Science and Technology (project number CE140100036) and the ARC through a Discovery Project Scheme (DP170103331). F.C. acknowledges the award of a National Health and Medical Research Council Senior Principal Research Fellowship (GNT1135806). Computational resources were provided by the National Computational Infrastructure (NCI; grant e87) supported by the Australian Government.