Origins of Structural Elasticity in Metal-Phenolic Networks Probed by Super-Resolution Microscopy and Multiscale Simulations.

Sukhvir Kaur Bhangu; Patrick Charchar; Benjamin B Noble; Chan-Jin Kim; Shuaijun Pan; Irene Yarovsky; Francesca Cavalieri; Frank Caruso

Journal article

Origins of Structural Elasticity in Metal-Phenolic Networks Probed by Super-Resolution Microscopy and Multiscale Simulations.

Sukhvir Kaur Bhangu, Patrick Charchar, Benjamin B Noble, Chan-Jin Kim, Shuaijun Pan, Irene Yarovsky, Francesca Cavalieri, Frank Caruso

ACS Nano | ACS publications | Published : 2022

DOI: 10.1021/acsnano.1c08192

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Abstract

Metal-phenolic networks (MPNs) are amorphous materials that can be used to engineer functional films and particles. A fundamental understanding of the heat-driven structural reorganization of MPNs can offer opportunities to rationally tune their properties (e.g., size, permeability, wettability, hydrophobicity) for applications such as drug delivery, sensing, and tissue engineering. Herein, we use a combination of single-molecule localization microscopy, theoretical electronic structure calculations, and all-atom molecular dynamics simulations to demonstrate that MPN plasticity is governed by both the inherent flexibility of the metal (FeIII)-phenolic coordination center and the conformation..

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University of Melbourne Researchers

Roop Bhangu Author

Shuaijun Pan Author

Francesca Cavalieri Author

Frank Caruso Author

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Funding Acknowledgements

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). This research was also supported by the ARC under the Discovery Project scheme (DP200100713, F.Caruso). F.Caruso acknowledges the award of a National Health and Medical Research Council Senior Principal Research Fellowship (GNT1135806) and F.Cavalieri acknowledges the award of an RMIT Vice Chancellor Senior Research Fellowship. I.Y. acknowledges the ARC for financial support research was undertaken with the assistance of resources from the National Computational Infrastructure (NCI) (grant e87) provided by the Australian government. This work was performed in part at the Materials Characterization and Fabrication Platform (MCFP) at The University of Melbourne.