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SERS-Based Immunoassay for α-Fetoprotein Biomarker Detection Using an Au-Ag Nanostars Platform
Josué Ismael García-Ramírez1, Marcos Luna-Cervantes1, Irma Yadira Izaguirre-Hernández2
1Centro de Investigación en Micro y Nanotecnología, Universidad Veracruzana, Boca del Río 94294, Mexico.
Biosensors
|September 26, 2025
Summary
This study introduces a novel liquid-phase surface-enhanced Raman scattering (SERS) platform using gold-silver nanostars for sensitive cancer biomarker detection. The platform enables label-free detection of alpha-fetoprotein, showing promise for early cancer diagnostics.
Area of Science:
- Nanotechnology
- Biomedical Engineering
- Analytical Chemistry
Background:
- Spiky gold-silver nanostars exhibit strong plasmonic properties for enhanced Raman scattering (SERS).
- Current cancer biomarker detection methods often suffer from low sensitivity and reliance on Raman reporters.
- A need exists for improved, reporter-free SERS platforms for early cancer diagnostics.
Purpose of the Study:
- To develop and evaluate a liquid-phase SERS platform for sensitive cancer biomarker detection.
- To optimize gold-silver nanostar concentration and functionalization for enhanced SERS performance.
- To demonstrate the platform's capability for label-free detection of alpha-fetoprotein (AFP).
Main Methods:
- Gold-silver nanostars were synthesized and their concentration adjusted via centrifugation.
- SERS performance was assessed using methylene blue and mercaptopropionic acid as probe molecules.
- Nanostars were functionalized with antibodies against AFP for antigen detection, utilizing EDC/NHS chemistry.
Main Results:
- SERS signal intensity correlated with nanostar concentration, indicating sensitive detection capabilities.
- The functionalized nanostar platform detected AFP antigens within a range of 500-0 ng/mL.
- A limit of detection (LOD) of 16.73 ng/mL for AFP antigens was achieved.
Conclusions:
- The developed aqueous, surfactant-free SERS platform offers sensitive and rapid detection of cancer biomarkers.
- The platform leverages intrinsic vibrational modes, eliminating the need for Raman reporters.
- This approach holds significant potential for advancing early cancer diagnostics.

