A1 Refereed original research article in a scientific journal
Heterogenous Copper(0)-Assisted Dopamine Oxidation: A New Pathway to Controllable and Scalable Polydopamine Synthesis
Authors: Al-waeel, Majid; Lukkari, Jukka; Kivelä, Henri; Salomäki, Mikko
Publisher: AMER CHEMICAL SOC
Publishing place: WASHINGTON
Publication year: 2024
Journal: Langmuir
Journal name in source: LANGMUIR
Journal acronym: LANGMUIR
Volume: 40
Issue: 38
First page : 20133
Last page: 20148
Number of pages: 16
ISSN: 0743-7463
eISSN: 1520-5827
DOI: https://doi.org/10.1021/acs.langmuir.4c02460
Web address : https://doi.org/10.1021/acs.langmuir.4c02460
Self-archived copy’s web address: https://research.utu.fi/converis/portal/detail/Publication/457940200
In this study, we introduce an approach for synthesizing polydopamine (PDA) through the controlled oxidation of dopamine using metallic copper. Traditional methods of PDA synthesis often encounter challenges such as scalability, reproducibility, and control over polymerization. Our approach utilizes the catalytic properties of metallic copper in the presence of dissolved oxygen to generate reactive oxygen species (ROS) without additional chemicals. This process allows for precise control over dopamine oxidation, leading to reliable, materials and cost-effective upscalable PDA production. We investigated the reaction kinetics and the role of copper and ROS in dopamine oxidation, using several different experimental techniques. Our results demonstrate that, even at low pH, the copper-assisted method produces PDA with properties comparable to those synthesized through conventional means. We propose a mechanism for PDA synthesis that is initiated by oxygen adsorption onto copper surface, leading to the generation of various ROS which act as oxidizing agents in PDA synthesis. This method presents an advancement in the scalable and controlled production of PDA, with potential applications in various scientific and industrial fields.
Funding information in the publication:
This work was supported by the M-ERA.net Ins BI Oration project, grant no. 100627561.
