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Graphene boosted silver nanoparticles as surface enhanced Raman spectroscopic sensors and photocatalysts for removal of standard and industrial dye contaminants

机译:石墨烯增强银纳米颗粒作为表面增强拉曼光谱传感器和光催化剂,用于去除标准和工业染料污染物

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Uncontrolled volumes of textile effluents (TE) discharged into water-bodies significantly escalate the possibility of health hazards and environmental deterioration owing to the presence of hazardous dye contaminants. In this work, the toxic components in real TE were sensed on a graphene boosted silver nanoparticles (Ag-rGO) platform through surface enhanced Raman scattering (SERS) technique. Transmission electron microscopic images of Ag-rGO showed spherical Ag nanoparticles of similar to 8 nm dispersed on wrinkled graphene oxide sheets. The efficiency of the substrate as a SERS sensor and photocatalytic substrate was first analyzed on commercial dyes such as rhodamine6 G, Congo red and malachite green. In TE, carcinogenic azo dye contaminants were effectively identified from the presence of N=N and C-N bands present in the SERS spectra. Further, removal of these dye contaminants in TE through visible light assisted photocatalysis by Ag-rGO was also evaluated. High degradation rate constant of similar to 9 x 10(-3)/min was observed in TE after visible light assisted photocatalysis by Ag-rGO. Synergistically, the dual utility of Ag-rGO can be attributed to the enhanced electromagnetic field originating from the plasmonic nature of Ag nanoparticles and the strengthened charge transfer due to the adsorptive nature of rGO. Furthermore, the reduced particle size and suppressed fluorescence also aids the sensing and removal. These results suggest feasible development of sensitive, scalable, stable intermediate dye sensing and removal/water recycling structures based on Ag-rGO to be incorporated at the discharge stage of textile dyeing industries.
机译:由于存在有害染料污染物,无法控制数量的纺织品废水(TE)排入水体,极大地加剧了健康危害和环境恶化的可能性。在这项工作中,通过表面增强拉曼散射(SERS)技术在石墨烯增强的银纳米颗粒(Ag-rGO)平台上感测了真实TE中的有毒成分。 Ag-rGO的透射电子显微图像显示,球形的纳米银颗粒(约8 nm)分散在起皱的氧化石墨烯片上。首先在商品染料如罗丹明6 G,刚果红和孔雀石绿上分析了底物作为SERS传感器和光催化底物的效率。在TE中,从存在于SERS光谱中的N = N和C-N谱带可以有效地识别致癌的偶氮染料污染物。此外,还评估了通过Ag-rGO的可见光辅助光催化去除TE中的这些染料污染物。在可见光辅助的Ag-rGO光催化作用下,TE中的降解速率常数接近9 x 10(-3)/ min。协同地,Ag-rGO的双重效用可以归因于源自Ag纳米粒子的等离子体性质的增强电磁场和归因于rGO的吸附性质的增强的电荷转移。此外,减小的粒径和抑制的荧光也有助于感测和去除。这些结果表明,基于Ag-rGO的灵敏,可扩展,稳定的中间染料感测和去除/水循环结构的可行开发将在纺织印染行业的排放阶段引入。

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