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Plasmonic Nanoarray Biosensors for Non-Invasive Cancer Diagnostics

  • Se Eun Kim
  • , Hye Kyu Choi*
  • , Jin Ha Choi*
  • *Corresponding author for this work
  • Jeonbuk National University
  • Rutgers - The State University of New Jersey, New Brunswick

Research output: Contribution to journal › Review article › peer-review

Abstract

Early cancer detection can expand treatment options and improve patient survival, but it requires tests that can be repeated with minimal patient burden. Urine and saliva can be collected non-invasively and may contain cancer-associated nucleic acids, proteins, and extracellular vesicles. Clinical analysis of these body fluids is complicated by low biomarker abundance, inter-individual variation, and matrix components that interfere with surface-based sensing. Plasmonic nanoarray biosensors address some of these analytical constraints by concentrating local electromagnetic fields, supporting multiplexed optical readout, and accommodating surface chemistry and microfluidic handling. This review examines nanoarray architectures, fabrication methods, surface functionalization, and signal generation for cancer-associated biomarkers in urine and saliva. Localized surface plasmon resonance, surface-enhanced Raman scattering, and metal-enhanced fluorescence are discussed together with applications to bladder, prostate, pancreatic, oral, and head-and-neck cancers. Remaining barriers include biofouling, pre-analytical variation, fabrication reproducibility, limited validation using authentic biofluids, and incomplete sample-to-answer integration. Addressing these challenges through standardized biofluid processing, scalable nanoarray fabrication, and integrated microfluidic platforms will be essential for translating plasmonic nanoarray biosensors into clinically applicable cancer screening tools.

Original languageEnglish
Article number449
JournalBiosensors
Volume16
Issue number8
DOIs
StatePublished - 2026.08

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

Keywords

  • early cancer detection
  • extracellular vesicles
  • liquid biopsy
  • LSPR
  • metal-enhanced fluorescence
  • non-invasive cancer diagnostics
  • plasmonic nanoarray
  • saliva
  • SERS
  • urine

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