Citrate-capped superparamagnetic iron oxide (Fe3O4-CA) nanocatalyst for synthesis of pyrimidine derivative compound as antioxidative agent

International Symposium on Current Progress in Functional Materials

Cahyana, A.H.^1 ; Pratiwi, D.^1 ; Ardiansah, B.^1

Department of Chemistry, Faculty of Mathematics, Natural Sciences Universitas Indonesia, Kampus UI Depok, Depok

16424, Indonesia^1

关键词: Anti-oxidant activities;    Emerging applications;    Heterogeneous catalyst;    Knoevenagel condensation;    Magnetic nano-particles;    Pyrimidine derivatives;    Superparamagnetic iron oxide nanoparticles;    Superparamagnetic iron oxides;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/188/1/012008/pdf
DOI  :  10.1088/1757-899X/188/1/012008

来源: IOP

【 摘 要 】

The development of a recyclable catalyst based on magnetic nanoparticles has attracted an increasing interest as the emerging application in the heterogeneous catalyst field. Superparamagnetic iron oxide nanoparticle with citric acid as capping agent was successfully obtained from iron (III) chloride solution via two steps synthesis. The first step involving the formation of magnetite nanoparticle by bioreduction using Sargassum Sp, then its surface was modified by adding citric acid solution in the second step. The structural, surface morphology and magnetic properties of the nanocatalyst were investigated by various instrumentations such as scanning electron microscope with energy dispersive (SEM-EDS), and particle size analyser (PSA). Fe3O4-CA was then applied as reusable catalyst for Knoevenagel condensation of barbituric acid and cinnamaldehyde to produce (E)-5-(3-phenylallylidene)pyrimidine-2,4,6(1H,3H,5H)-trione. The optimum condition of this reaction was achieved by using 7.5% mole of catalyst at 50°C for 6 h to give 83% yield. Some spectroscopy techniques such as UV-Vis, FTIR, LC-MS and1H-NMR were used to confirm the product's structure. Furthermore, the synthesized compound has an attractive antioxidant activity based on the in-vitro analysis using DPPH method.