Literature DB >> 27607665

Optimization of the particle density to maximize the SERS enhancement factor of periodic plasmonic nanostructure array.

Shuhua Wei, Mengjie Zheng, Quan Xiang, Hailong Hu, Huigao Duan.   

Abstract

Low-cost surface-enhanced Raman scattering (SERS) substrate with the largest possible enhancement factor is highly desirable for SERS-based sensing applications. In this work, we systematically investigated how the density of plasmonic nanostructures affects the intensity of SERS signal. By directly depositing of metallic layer on electron-beam-lithography defined dielectric nanoposts, plasmonic structures array with different densities were reliably fabricated for SERS measurements. Two main experimental phenomena were obtained: (1) the SERS intensity did not increase monotonically when increasing the density of plasmonic structures, and (2) these ultra-dense plasmonic structures resulted in the maximal SERS intensity. These results could be well explained based on finite-difference time domain (FDTD) simulations and provide robust experimental evidences to guide the design of the best possible SERS substrate.

Entities:  

Year:  2016        PMID: 27607665     DOI: 10.1364/OE.24.020613

Source DB:  PubMed          Journal:  Opt Express        ISSN: 1094-4087            Impact factor:   3.894


  3 in total

1.  Hybrid Surface-Enhanced Raman Scattering Substrates for the Trace Detection of Ammonium Nitrate, Thiram, and Nile Blue.

Authors:  Jagannath Rathod; Chandu Byram; Ravi Kumar Kanaka; Moram Sree Satya Bharati; Dipanjan Banerjee; Mangababu Akkanaboina; Venugopal Rao Soma
Journal:  ACS Omega       Date:  2022-04-28

2.  Wafer-Scale Hierarchical Nanopillar Arrays Based on Au Masks and Reactive Ion Etching for Effective 3D SERS Substrate.

Authors:  Dandan Men; Yingyi Wu; Chu Wang; Junhuai Xiang; Ganlan Yang; Changjun Wan; Honghua Zhang
Journal:  Materials (Basel)       Date:  2018-02-04       Impact factor: 3.623

3.  Maximizing the Surface Sensitivity of LSPR Biosensors through Plasmon Coupling-Interparticle Gap Optimization for Dimers Using Computational Simulations.

Authors:  Attila Bonyár
Journal:  Biosensors (Basel)       Date:  2021-12-20
  3 in total

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