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Functionalization of silicon nanowires by iron oxide and copper for degradation of phenol

DOI:10.1007/s11164-018-03726-8 期刊:Research on Chemical Intermediates 出版年份:2019 更新时间:2025-09-23 15:23:52
摘要: Iron oxide (Fe3O4) and copper-functionalized silicon nanowires (SiNWs) from silicon powder mesh < 500 with a spherical structure have been successfully synthesized as a heterogeneous catalyst for the degradation of phenol. This synthesized catalyst was prepared by nanosilicon wire powders. SiNWs have attracted much attention due their potential application in nanoscale devices such as field effect transistors, chemical or biological sensors, battery electrodes and photovoltaics. The SiNW properties were reinforced by functionalization. The synthesis of this catalyst was done by an in situ method for the decoration of SiNWs. Magnetic metal oxide compounds have been chosen not only to accelerate the catalyst recovery but also to improve the time duration of pollution elimination. Also, Cu nanoparticles were added in order to evaluate the catalytic property. In this work, the maximum amount of phenol degradation was obtained near 99.99%. Hybrid surface morphologies were characterized by scanning electron microscopy, X-ray diffraction, transmission electron microscopy, the Brunauer–Emmette–Teller model and high-performance liquid chromatography.
作者: Mansoor Anbia,Fereshteh Aghadoukht
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To synthesize and evaluate iron oxide and copper-functionalized silicon nanowires as a heterogeneous catalyst for the degradation of phenol in wastewater.

The Fe3O4–Cu-SiNWs catalyst synthesized by the in situ method exhibited high efficiency in phenol degradation (near 100% in 75 minutes) and good reusability due to magnetic properties. It outperformed pure components and other composites, indicating its potential for wastewater treatment applications. Future work could focus on scaling up and testing with real wastewater samples.

The infiltration method resulted in lower porosity and agglomeration, making the catalyst less reusable. The study may be limited to specific conditions such as room temperature and certain phenol concentrations; optimization for industrial scales and other pollutants could be explored.

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