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Research Article | Online First

Selective deposition of a MOF at the spikes of Au nanostars for SERS detection

Yi Liu1,2Ka Kit Chui2Xinyue Xia2Han Zhang3Xiaolu Zhuo1( )Jianfang Wang2( )
School of Science and Engineering, The Chinese University of Hong Kong, Shenzhen 518172, China
Department of Physics, The Chinese University of Hong Kong, Shatin, Hong Kong 999077, China
School of Materials Science and Engineering, Zhejiang Sci-Tech University, Hangzhou 310000, China
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Abstract

In the pursuit of advancing molecular sensing through surface-enhanced Raman spectroscopy (SERS), the combination of plasmonic nanoparticles and metal-organic frameworks (MOFs) has emerged as a highly effective approach to enhance the sensitivity and selectivity of SERS substrates. However, most prior investigations have predominantly focused on MOF-coated plasmonic nanoparticles in core@shell or layer-by-layer configurations, leaving a notable knowledge gap in exploring alternative configurations. Herein we present a facile method to construct a particle-on-mirror architecture by selectively coating a MOF, zeolitic imidazolate framework-8 (ZIF-8), onto the tips of Au nanostars and subsequently depositing the resultant nanoparticles onto a Au film. This design integrates the electric field enhancement at the sharp tips and nanogaps, along with the molecular enrichment function within the porous MOF immobilized at the tips and nanogaps, leading to a substantial boost in the SERS signal intensity. Such a unique SERS platform enables consistent and outstanding SERS performance for analytes of different sizes. This work opens up a promising strategy for constructing multifunctional nanostructures for sensitive SERS detection in real-life scenarios.

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Nano Research
Cite this article:
Liu Y, Chui KK, Xia X, et al. Selective deposition of a MOF at the spikes of Au nanostars for SERS detection. Nano Research, 2024, https://doi.org/10.1007/s12274-024-6737-8
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Received: 29 February 2024
Revised: 02 May 2024
Accepted: 06 May 2024
Published: 18 June 2024
© Tsinghua University Press 2024
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