Rapid self-heating synthesis of Fe-based nanomaterial catalyst for advanced oxidation.
Fengbo YuChao JiaXuan WuLiming SunZhijian ShiTao TengLitao LinZhelin HeJie GaoShicheng ZhangLiang WangShaobin WangXiangdong ZhuPublished in: Nature communications (2023)
Iron-based catalysts are promising candidates for advanced oxidation process-based wastewater remediation. However, the preparation of these materials often involves complex and energy intensive syntheses. Further, due to the inherent limitations of the preparation conditions, it is challenging to realise the full potential of the catalyst. Herein, we develop an iron-based nanomaterial catalyst via soft carbon assisted flash joule heating (FJH). FJH involves rapid temperature increase, electric shock, and cooling, the process simultaneously transforms a low-grade iron mineral (FeS) and soft carbon into an electron rich nano Fe 0 /FeS heterostructure embedded in thin-bedded graphene. The process is energy efficient and consumes 34 times less energy than conventional pyrolysis. Density functional theory calculations indicate that the electron delocalization of the FJH-derived heterostructure improves its binding ability with peroxydisulfate via bidentate binuclear model, thereby enhancing ·OH yield for organics mineralization. The Fe-based nanomaterial catalyst exhibits strong catalytic performance over a wide pH range. Similar catalysts can be prepared using other commonly available iron precursors. Finally, we also present a strategy for continuous and automated production of the iron-based nanomaterial catalysts.
Keyphrases
- metal organic framework
- highly efficient
- visible light
- density functional theory
- room temperature
- low grade
- iron deficiency
- ionic liquid
- reduced graphene oxide
- molecular dynamics
- carbon dioxide
- machine learning
- high grade
- hydrogen peroxide
- high throughput
- molecularly imprinted
- deep learning
- gold nanoparticles
- binding protein
- single cell
- human health