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A Facile Green Reduction for Graphene-Silver Nanocomposite Using Betel Leaf Extract for the Photocatalytic Degradation of Water Pollutants

机译:石墨烯 - 硅纳米复合材料的便捷绿色,使用槟榔提取物用于水污染物的光催化降解

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摘要

Green leaves are utilized in the green synthesis of various nanomaterials as these are rich sources of various biomolecules useful to control the growth of nanoparticles and as reducing agents. In this report, the in situ synthesis of a nanocomposite of silver decorated on reduced graphene oxide sheets using betel leaf extract as stabilizing and reducing agent is presented. The formation of nanocomposite is confirmed by Ultraviolet- Visible, Fourier Transform Infrared and Raman spectroscopic techniques. The X-Ray Diffraction results revealed the Face Centered Cubic structure of silver nanoparticles (Ag NPs) with a particle size of 28 nm. The sheet structure of reduced graphene oxide and uniformly distributed Ag NPs on these sheets is confirmed by High Resolution Scanning Electron Microscope analysis. The obtained nanocomposite exhibited good photocatalytic efficiency (95% in 2 h) against a model pollutant, methylene blue in sun light.
机译:绿叶用于各种纳米材料的绿色合成中,因为它们是各种生物分子的丰富来源,可用于控制纳米颗粒的生长和减少剂。 在本报告中,提出了用β叶提取物作为稳定和还原剂的纳米复合材料的原位合成,该纳米复合材料的纳米复合材料在还原的石墨烯氧化石材片上装饰。 纳米复合材料的形成通过紫外线,傅立叶变换红外和拉曼光谱技术证实。 X射线衍射结果揭示了粒径为28 nm的银纳米颗粒(AG NP)的面部中心立方结构。 高分辨率扫描电子显微镜分析证实了还原氧化石墨烯和均匀分布的Ag NP的薄片结构。 获得的纳米复合材料表现出良好的光催化效率(在2小时内为95%),针对模型污染物,阳光中的亚甲基蓝。

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