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Modular Micro Raman Reader Instrument for Fast SERS-Based Detection of Biomarkers
Jamison Duckworth1, Alexey V Krasnoslobodtsev1,2
1Department of Physics, University of Nebraska Omaha, Omaha, NE 68182, USA.
Micromachines
|October 27, 2022
Summary
We developed a modular Raman reader (mRR) for sensitive biomarker detection using surface-enhanced Raman scattering (SERS). This automated system enables rapid, point-of-care diagnostics with a MUC4 assay limit of detection at 0.41 µg/mL.
Area of Science:
- Biomedical Engineering
- Analytical Chemistry
- Nanotechnology
Background:
- Sensitive biomarker detection is crucial for disease diagnosis and management.
- Surface-enhanced Raman scattering (SERS) offers superior sensitivity and low detection limits compared to other methods.
- SERS is ideal for developing multiplexed bioassays and point-of-care diagnostic tools.
Purpose of the Study:
- To develop a portable, automated instrument for SERS-based bioassays.
- To enable high-throughput screening of disease biomarkers at the point-of-care.
- To improve the speed and reliability of diagnostic testing.
Main Methods:
- Designed and built a modular Raman reader (mRR) using commercially available components.
- Developed dedicated software for automated sample screening and data analysis.
- Utilized a sandwich immunoassay on gold substrates with modified gold nanoparticles as SERS tags.
Main Results:
- The mRR system automates measurements, reducing human bias and increasing data collection/analysis speed by approximately 2000 times.
- Achieved a limit of detection (LOD) of 0.41 µg/mL for a MUC4-specific immunoassay (iSERS).
- Demonstrated the capability for fast and automated measurements of immunoassay samples.
Conclusions:
- The custom-built modular Raman reader (mRR) is a viable tool for automated, high-throughput SERS bioassays.
- The developed system enhances point-of-care diagnostics by providing rapid and reliable biomarker detection.
- The mRR system has the potential to significantly improve disease monitoring and diagnosis accessibility.

