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Plasmonic trimer nanoarrays with probe-trapping sites for SERS detection of urinary copper in Wilson's disease

  • Xing Zhao
  • , Guoqun Li
  • , Shuying Chen
  • , Dexiang Chen
  • , Lei Yao
  • , Yunjia Wei
  • , Zixuan Sun
  • , Weiyi Li
  • , Yunfang Xiao
  • , Leilei Lan
  • , Xingce Fan
  • , Jiawei Wang*
  • , Teng Qiu*
  • , Qi Hao*
  • *Corresponding author for this work
  • Southeast University, Nanjing
  • Ltd.
  • Anhui University of Science and Technology
  • School of Integrated Circuits, Harbin Institute of Technology Shenzhen

Research output: Contribution to journalArticlepeer-review

Abstract

Cu2+ plays a critical role in the onset of Wilson's disease (WD), and precise analysis of Cu2+ levels in human metabolites is essential for early clinical diagnosis. However, existing clinical detection such as organ biopsies and mass spectrometry are costly, complex and unsuitable for rapid screening. Surface-enhanced Raman scattering (SERS) offers a rapid, label-free, and noninvasive alternative to conventional assays. Nevertheless, SERS fundamentally depends on highly localized electromagnetic “hot spots”, which occupy only a very small fraction of the nanoparticle surface (less than 1%), meaning that only molecules residing within these regions can be effectively enhanced. Herein, we develop a SERS chip based on plasmonic Au@Al2O3-Au–Au@Al2O3 trimer nanoarrays featuring a molecular “trap” architecture. The central Au trap particle possesses selective chemical affinity that guides probes into plasmonic hotspots, enabling spatial overlap between molecular adsorption sites and plasmonic electromagnetic fields and thereby improving SERS sensitivity and reproducibility. When functionalized with trithiocyanuric acid (TA), the nanoarray enables noninvasive detection of urinary Cu2+, exhibiting a concentration-dependent Raman shift and band broadening associated with the multistage TA–Cu2+ coordination process. These findings demonstrate that the trap-enhanced nanoarray provides a rapid, ultrasensitive, and clinically accessible platform for early screening of WD and broader applications in metabolite.

Original languageEnglish
JournalAnalyst
DOIs
StateAccepted/In press - 2026
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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