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Published on: July 26, 2019
Array-based spectral SPR biosensor: analysis of mumps virus infection.
1Department of Molecular and Cellular Biochemistry and Nanobio Sensor Research Center, Kangwon National University College of Medicine, Chuncheon, Kangwon-do, Korea.
Methods in Molecular Biology (Clifton, N.J.)
|January 20, 2009
Summary
This study presents a spectral surface plasmon resonance (SPR) biosensor for rapid protein array analysis. The developed biosensor shows potential for high-throughput infectious disease serodiagnosis.
Area of Science:
- Biomedical Engineering
- Analytical Chemistry
- Immunology
Background:
- Surface Plasmon Resonance (SPR) biosensing offers rapid, label-free detection crucial for diagnostics.
- Protein arrays enable multiplexed analysis but require efficient detection systems.
- Existing SPR systems can be complex to align and process data.
Purpose of the Study:
- To develop and validate a spectral SPR biosensor for rapid protein array analysis.
- To demonstrate the biosensor's capability for detecting specific antibodies (anti-mumps virus).
- To assess the potential for high-throughput serodiagnosis of infectious diseases.
Main Methods:
- Constructed a spectral SPR biosensor using Kretschmann geometry and wavelength interrogation.
- Developed protein arrays on a gold film substrate with specific surface modifications for mumps virus immobilization.
- Utilized a motorized x-y stage for line-scanning analysis of virus arrays in buffer and human serum.
Main Results:
- The spectral SPR biosensor successfully detected anti-mumps virus antibodies.
- The system demonstrated efficient alignment with reflected light from protein arrays.
- Line-scanning mode enabled analysis in both buffer and human serum samples.
Conclusions:
- The spectral SPR biosensor is a viable tool for rapid protein array analysis.
- This array-based spectral SPR biosensor shows significant potential for high-throughput serodiagnosis of infectious diseases.
- The system's design facilitates ease of use and data acquisition for diagnostic applications.
