Please use this identifier to cite or link to this item: https://doi.org/10.1038/srep37190
Title: As-grown graphene/copper nanoparticles hybrid nanostructures for enhanced intensity and stability of surface plasmon resonance
Authors: Li, Y.-F
Dong, F.-X
Chen, Y
Zhang, X.-L
Wang, L 
Bi, Y.-G
Tian, Z.-N
Liu, Y.-F
Feng, J
Sun, H.-B
Issue Date: 2016
Citation: Li, Y.-F, Dong, F.-X, Chen, Y, Zhang, X.-L, Wang, L, Bi, Y.-G, Tian, Z.-N, Liu, Y.-F, Feng, J, Sun, H.-B (2016). As-grown graphene/copper nanoparticles hybrid nanostructures for enhanced intensity and stability of surface plasmon resonance. Scientific Reports 6 : 37190. ScholarBank@NUS Repository. https://doi.org/10.1038/srep37190
Rights: Attribution 4.0 International
Abstract: The transfer-free fabrication of the high quality graphene on the metallic nanostructures, which is highly desirable for device applications, remains a challenge. Here, we develop the transfer-free method by direct chemical vapor deposition of the graphene layers on copper (Cu) nanoparticles (NPs) to realize the hybrid nanostructures. The graphene as-grown on the Cu NPs permits full electric contact and strong interactions, which results in a strong localization of the field at the graphene/copper interface. An enhanced intensity of the localized surface plasmon resonances (LSPRs) supported by the hybrid nanostructures can be obtained, which induces a much enhanced fluorescent intensity from the dye coated hybrid nanostructures. Moreover, the graphene sheets covering completely and uniformly on the Cu NPs act as a passivation layer to protect the underlying metal surface from air oxidation. As a result, the stability of the LSPRs for the hybrid nanostructures is much enhanced compared to that of the bare Cu NPs. The transfer-free hybrid nanostructures with enhanced intensity and stability of the LSPRs will enable their much broader applications in photonics and optoelectronics. © The Author(s) 2016.
Source Title: Scientific Reports
URI: https://scholarbank.nus.edu.sg/handle/10635/178755
ISSN: 20452322
DOI: 10.1038/srep37190
Rights: Attribution 4.0 International
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