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首页> 外文期刊>Chemical engineering journal >Graphene nano-mesh-Ag-ZnO hybrid paper for sensitive SERS sensing and self-cleaning of organic pollutants
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Graphene nano-mesh-Ag-ZnO hybrid paper for sensitive SERS sensing and self-cleaning of organic pollutants

机译:石墨烯纳米网-AG-ZnO混合纸,用于敏感的SERS感应和自清洁有机污染物

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摘要

Rationally designed self-assemble, functional 3D architecture of graphene nano-meshes with unique plasmonic resonance metal nanoparticles can be excellent nanohybrid Raman scattering (SERS) substrate in spotting the low levels of environmental organic pollutants. In this study, graphene nano-mesh-Ag-ZnO metal (GNMM) nanohybrid was prepared by self-assembled hydrothermal reduction of graphene oxide (GO) followed by thermal annealing of site-localized metal-salts as a highly sensitive surface-enhanced Raman scattering (SERS) substrate. The crumpled graphene nano-meshes decorated with Ag-ZnO nanoparticles created SERS hot spots (holes) that manifested high SERS sensitivity to model organic pollutants such as methyl orange (MO), rhodamine 6G (Rh-6G) and paraquat (PQ) with detection limit as low as 10(-11), 10(-13) and 10(-14) M, respectively. A maximum enhancement factor (EF) of 1.97 x 10(11) was obtained with PQ molecules on synthesized GNMM substrate. The enhancement in signal can be supported through charge transfer mechanism that induced strong enhancement of the local electric field on free available graphene nano-mesh edges abundant with hotspots. This novel nanohybrid SERS substrate realized self-cleaning by photocatalytic degradation of model organic Rh-6G molecules adsorbed on the nanohybrid paper and shows reusability during the detection process. Meanwhile, GNMM nanohybrid also possesses highly effective antimicrobial activities for Escherichia coli. The detection of organic pollutants by GNMM nanohybrid SERS substrate has several advantages such as low cost, easy and simple preparation method, sensitive detection and reusability that can be potentially applied for detection of variety of environmental pollutants and antimicrobial agent applications.
机译:具有独特等离子体共振金属纳米粒子的石墨烯纳米网的合理设计的自组装,功能3D架构,可以是优异的纳米式拉曼散射(SERS)底物,用于发现低水平的环境有机污染物。在该研究中,通过自组装的石墨烯(GO)的水热还原,然后将位点局部化金属盐的热退火作为高度敏感的表面增强拉曼,制备石墨烯纳米 - 丙烯 - ZnO金属(GNMM)纳米胺(GNMM)纳米胺。作为高度敏感的表面增强拉曼散射(SERS)衬底。用Ag-ZnO纳米颗粒装饰的皱巴丙纳米网呈现出柱热点(孔),其表现出高均匀的敏感性,以模拟有机污染物如甲基橙(MO),罗丹明6G(RH-6G)和百草枯(PQ)具有检测限制为低至10(-11),10(-13)和10(-14)m。用合成的GNMM底物上的PQ分子获得1.97×10(11)的最大增强因子(EF)。可以通过电荷转移机构支持信号的增强,该电荷传输机构诱导与热点充分的可用石墨烯纳米网格边缘上的局部电场的强大增强。这种新型纳米冬次的SERS基板通过光催化降解模型有机rH-6g分子的光催化降解在纳米杂纸上进行了自清洁,并且在检测过程中显示可重用性。同时,GNMM纳米冬小麦也具有高度有效的大肠杆菌抗微生物活性。通过GNMM纳米冬次碱基对有机污染物的检测具有若干优点,例如低成本,简单,制备方法,敏感的检测和可重用性,可以潜在地用于检测各种环境污染物和抗微生物剂应用。

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