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Updated: Jul 9, 2026

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Fabricating a UV-Vis and Raman Spectroscopy Immunoassay Platform
Published on: November 10, 2016
Raman nanoparticle probes for antibody-based protein detection in tissues
Barry Lutz1, Claire Dentinger, Lei Sun
1Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, M5-A864, 1212 Aloha St., Seattle, WA 95054, USA.
Summary
Composite organic-inorganic nanoparticles (COINs) show promise for detecting prostate-specific antigen (PSA) in tissue. While COINs offer comparable signal intensity and consistency to Alexa conjugates, further development is needed to improve staining accuracy in FFPE tissues.
Area of Science:
- Biomolecular detection
- Nanoparticle-based assays
- Optical imaging
Background:
- Surface-enhanced Raman scattering (SERS) nanoparticles offer novel optical detection methods for biomolecules.
- Formalin-fixed paraffin-embedded (FFPE) tissues are crucial for pathological analysis but present detection challenges.
- Prostate-specific antigen (PSA) is a key biomarker for prostate cancer detection.
Purpose of the Study:
- To evaluate the performance of composite organic-inorganic nanoparticles (COINs) conjugated to antibodies for detecting PSA in FFPE prostate tissue sections.
- To compare the efficacy of COIN-based detection with traditional Alexa conjugates using identical staining protocols.
- To assess spectral differences between Raman and fluorescence signatures and extract COIN probe signals.
Main Methods:
- Utilizing antibody-conjugated COINs for SERS-based detection of PSA in FFPE prostate tissue.
- Employing identical staining protocols to compare COIN-antibody conjugates with Alexa-antibody conjugates.
- Performing spectral analysis to differentiate Raman signals from background autofluorescence.
- Generating PSA expression images from extracted COIN probe signals and evaluating assay performance metrics.
Main Results:
- COINs provided signal intensities comparable to Alexa conjugates.
- COIN assays demonstrated good intra-, inter-, and lot-to-lot consistencies.
- Staining accuracy for COINs was slightly lower than Alexa due to an elevated false-negative rate.
- Spectral analysis successfully extracted COIN probe signals from background autofluorescence.
Conclusions:
- COIN and Alexa detection reagents exhibit similar overall performance in FFPE tissues.
- COINs represent a viable alternative for Raman-based biomolecular detection in FFPE samples.
- Further development of COINs is supported for enhanced accuracy in diagnostic applications.

