Journal article
Influence of Ionic Strength on the Deposition of Metal-Phenolic Networks
Junling Guo, Joseph J Richardson, Quinn A Besford, Andrew J Christofferson, Yunlu Dai, Chien W Ong, Blaise L Tardy, Kang Liang, Gwan H Choi, Jiwei Cui, Pil J Yoo, Irene Yarovsky, Frank Caruso
LANGMUIR | AMER CHEMICAL SOC | Published : 2017
Abstract
Metal-phenolic networks (MPNs) are a versatile class of self-assembled materials that are able to form functional thin films on various substrates with potential applications in areas including drug delivery and catalysis. Different metal ions (e.g., FeIII, CuII) and phenols (e.g., tannic acid, gallic acid) have been investigated for MPN film assembly; however, a mechanistic understanding of the thermodynamics governing MPN formation remains largely unexplored. To date, MPNs have been deposited at low ionic strengths (<5 mM), resulting in films with typical thicknesses of ∼10 nm, and it is still unclear how a bulk complexation reaction results in homogeneous thin films when a substrate is pr..
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Grants
Awarded by Australian Research Council (ARC) Centre of Excellence in Convergent Bio-Nano Science and Technology
Awarded by ARC
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 CE140100036). This work was also supported by the ARC under the Australian Laureate Fellowship (F.C., FL120100030) and Discovery Project (F.C., DP130101846) schemes. This work was performed in part at the Materials Characterisation and Fabrication Platform (MCFP) at The University of Melbourne and the Victorian Node of the Australian National Fabrication Facility (ANFF). We acknowledge F. Tian, Q. Dai, D. Song, Y. Ju, M. Penna, and P. Charchar for helpful discussions. A.J.C. and I.Y. acknowledge the generous allocation of high-performance computational resources from the Australian National Computational Infrastructure (NCI), the Pawsey Supercomputing Centre, and the Victorian Life Sciences Computational Initiative (VLSCI). Part of the experiments were conducted at the Australian Synchrotron SAXS/WAXS beamline.