Large‐Area Nanowire Arrays Achieving Surface Lattice Resonance for Highly Sensitive SERS Applications

Achieving high sensitivity, signal uniformity, and cost-effective large-scale fabrication of large-area surface-enhanced Raman scattering (SERS) substrates continues to pose a significant challenge. In order to break through the limitations of conventional SERS substrates and to meet the demands of high-throughput production, a strategy integrating programmable cyclic deposition with high-precision nanoskiving techniques is presented for the fabrication of large-area periodic nanowire arrays with adjustable geometric parameters and versatile material compositions in this study. By precisely controlling the stacking sequence and nanoskiving parameters, the structural dimensions and material composition can be finely tuned, which significantly enhances the coupling efficiency between localized surface plasmon resonance and Rayleigh anomaly, thereby enabling the excitation of high-quality-factor surface lattice resonances. The resulting arrays exhibit excellent structural integrity, uniform electromagnetic field distribution, and good signal reproducibility (RSD = 1.9%) over ≈206 mm<sup>2</sup>. Notably, Ag150-Gap20-Ag150-Gap115-Period435 periodic nanowire arrays as the substrate exhibit excellent sensitivity with a detection limit as low as 1 × 10<sup>-12 </sup>M for the target. This strategy offers an efficient, scalable, and material-adaptive method for high-throughput fabrication of SERS substrates, thereby facilitating its application in environmental monitoring, food safety, and bioanalysis.

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Publication Details

Journal
Small Methods
Published
2025-11-28
DOI
https://doi.org/10.1002/smtd.202501553
Citations
1
Primary Topic
Gold and Silver Nanoparticles Synthesis and Applications
Type
article
Field-Weighted Citation Impact
0.43

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article

Large‐Area Nanowire Arrays Achieving Surface Lattice Resonance for Highly Sensitive SERS Applications

Yongda Yan, Chen Li, Yuting Ye, Yanquan Geng
1 citations
Small Methods
Gold and Silver Nanoparticles Synthesis and Applications
0.43
article

Large‐Area Nanowire Arrays Achieving Surface Lattice Resonance for Highly Sensitive SERS Applications

Yongda Yan, Chen Li, Yuting Ye, Yanquan Geng
article en
1 citations

Abstract

Achieving high sensitivity, signal uniformity, and cost-effective large-scale fabrication of large-area surface-enhanced Raman scattering (SERS) substrates continues to pose a significant challenge. In order to break through the limitations of conventional SERS substrates and to meet the demands of high-throughput production, a strategy integrating programmable cyclic deposition with high-precision nanoskiving techniques is presented for the fabrication of large-area periodic nanowire arrays with adjustable geometric parameters and versatile material compositions in this study. By precisely controlling the stacking sequence and nanoskiving parameters, the structural dimensions and material composition can be finely tuned, which significantly enhances the coupling efficiency between localized surface plasmon resonance and Rayleigh anomaly, thereby enabling the excitation of high-quality-factor surface lattice resonances. The resulting arrays exhibit excellent structural integrity, uniform electromagnetic field distribution, and good signal reproducibility (RSD = 1.9%) over ≈206 mm<sup>2</sup>. Notably, Ag150-Gap20-Ag150-Gap115-Period435 periodic nanowire arrays as the substrate exhibit excellent sensitivity with a detection limit as low as 1 × 10<sup>-12 </sup>M for the target. This strategy offers an efficient, scalable, and material-adaptive method for high-throughput fabrication of SERS substrates, thereby facilitating its application in environmental monitoring, food safety, and bioanalysis.

Small MethodsVol. 10(1)
Harbin Institute of Technology (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 33%
Gold and Silver Nanoparticles Synthesis and Applications
0.43
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Large‐Area Nanowire Arrays Achieving Surface Lattice Resonance for Highly Sensitive SERS Applications — Yongda Yan, Chen Li, et al. · Small Methods (2025) | TGRS Research Map | TGRS