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Biomimetic Synthesis of Hierarchical 3D Ag Butterfly Wing Scales Arrays/Graphene Composites as Ultrasensitive SERS Substrates for Efficient Trace Chemical Detection

Abstract

This paper reports a simple biomimetic synthesis of hierarchical three-dimensional (3D) Ag butterfly wing scales arrays/graphene composites via a synchronous reduction process. The original chitin-based scales arrays provide a new bioscaffold for decorating with Ag NPs and graphene in different dimensions to construct a 3D SERS substrate. The sizes, interparticle gaps, and the aggregation state of the Ag nanoparticles deposited on the butterfly wing scales can be well controlled by tuning the experimental parameters. The special structural features of 3D Ag butterfly wing scales arrays with redundant Ag nanoparticles make a significant contribution of SERS enhancement. Moreover, 3D Ag butterfly wing scales arrays coated by moderate amount of graphene display a higher SERS activity. The SERS measurement results show that the optimized 3D Ag butterfly wing scales arrays/graphene composites exhibit the highest enhancement efficiency and high SERS sensitivity to crystal violet (CV) and 4-mercaptobenzoic acid (MBA) molecules. In addition, a low concentration of 10-9 M for CV and 10-8 M for MBA could be detected by a portable Raman instrument. And it gives good reproducibility across the entire area with the relative standard deviations (RSD) less than 15 %. The substrates still perform a good long-term stability on SERS intensity after 6 months. Additionally, the novel substrates can be applied to detect trace analytes, which shows great potential as an effective SERS platform for the rapid on-site chemical and biological sensing.

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Publication details

The article was received on 28 Aug 2017, accepted on 04 Jan 2018 and first published on 05 Jan 2018


Article type: Paper
DOI: 10.1039/C7TC03922K
Citation: J. Mater. Chem. C, 2018, Accepted Manuscript
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    Biomimetic Synthesis of Hierarchical 3D Ag Butterfly Wing Scales Arrays/Graphene Composites as Ultrasensitive SERS Substrates for Efficient Trace Chemical Detection

    M. Zhang, J. Meng, D. Wang, Q. Tang, T. Chen, S. Rong, J. Liu and Y. Wu, J. Mater. Chem. C, 2018, Accepted Manuscript , DOI: 10.1039/C7TC03922K

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