Tailoring of Cu@Graphitic Carbon Nanostructures Enables the Selective Detection of Copper Ions and Highly Efficient Catalysis of Organic Pollutants
Tailoring of Cu@Graphitic Carbon Nanostructures Enables the Selective Detection of Copper Ions and Highly Efficient Catalysis of Organic Pollutants
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DOI：
10.1002/admi.201800551
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发表时间：
2018-06
影响因子：
5.4
通讯作者：
Rui Hu;Taiki Furukawa;Yi Gong;Lin Chen;Xiangke Wang;Xingyou Tian;M. Nagatsu
中科院分区：
文献类型：
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作者：
Rui Hu;Taiki Furukawa;Yi Gong;Lin Chen;Xiangke Wang;Xingyou Tian;M. Nagatsu
高效率、高选择性地开发等离子体纳米材料是其潜在应用面临的最大挑战。报道了一步电弧法合成均匀含氮官能团的石墨化碳包裹铜纳米材料(Cu@G NMS)。结合时间光学发射光谱发现，NH3引入了H自由基，使CuGNMS的核/壳纳米结构发生了从球形纳米粒子(NPs)到线状纳米线(NWS)的形态演化，并提供了解离的含氮物种(氨基氮、吡啶氮、吡咯氮和季铵氮)来构建表面纳米结构。基于局域表面等离子体共振的方法可以快速检测水样中的痕量铜离子，具有良好的灵敏度(线性低至10×10−6m)和对其他金属离子的选择性。此外，对芳香族有机污染物(4-硝基苯酚、亚甲基蓝和甲基橙)的还原催化活性也得到显著提高。这一策略实现了铜@G平台中石墨烯壳层的高效/选择性吸附能力和铜核的等离子体/催化多功能的协同集成，在环境监测和管理方面显示出巨大的潜力。
Exploitation of plasmonic nanomaterials with high efficiency and selectivity presents the most significant challenge for their potential applications. A one‐step arc discharge to synthesize graphitic carbon‐encapsulated copper nanomaterials (Cu@G NMs) functionalized with nitrogen‐containing groups uniformly is reported. Combined with the temporal optical emission spectra, it is found that the NH3 introduces H radicals to tailor the core/shell nanostructures of Cu@G NMs inducing the morphological evolution from spherical nanoparticles (NPs) to linear nanowires (NWs), as well as provides dissociated nitrogen‐containing species (amino N, pyridinic N, pyrrolic N, and quaternary N) to construct the surface nanoarchitectures. With a localized surface plasmon resonance‐based method, the trace Cu2+ ions can be detected rapidly with excellent sensitivity (as low as 10 × 10−6 m linearly) and selectivity against other metal ions by Cu@G NPs in water samples. Moreover, remarkably enhanced catalytic activities for the reduction of aromatic organic pollutants (i.e., 4‐nitrophenol, methylene blue, and methyl orange) are also achieved by Cu@G NWs. This strategy enables the synergistic integration of efficient/selective adsorption capability of graphene shells and plasmonic/catalytic multifunctions of Cu cores in Cu@G platform, exhibiting a great potential in environmental monitoring and management.