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A surface plasmon resonance array biosensor based on spectroscopic imaging.
M J O'Brien1, V H Pérez-Luna, S R Brueck
1Center for High Technology Materials/Department of Physics and Astronomy, The University of New Mexico, Albuquerque 87131, USA.
Biosensors & Bioelectronics
|March 23, 2001
Summary
We developed a novel system combining surface plasmon resonance (SPR) spectroscopy and microscopy for simultaneous monitoring of multiple binding events on sensor chips. This adaptable platform offers precise analysis of biospecific interactions.
Area of Science:
- Biomedical Engineering
- Analytical Chemistry
- Biosensing Technology
Background:
- Conventional surface plasmon resonance (SPR) spectroscopy is limited in its ability to monitor multiple binding events simultaneously.
- Existing methods for analyzing binding events on patterned arrays can be complex and difficult to replicate.
Purpose of the Study:
- To develop a versatile and easily reproducible platform for monitoring simultaneous binding events on patterned receptor arrays.
- To integrate surface plasmon resonance (SPR) spectroscopy with one-dimensional SPR microscopy for enhanced biosensing capabilities.
Main Methods:
- Development of a multi-element transduction system combining SPR spectroscopy and 1D SPR microscopy.
- Utilizing macro- or micro-patterned receptor arrays on disposable sensor chips.
- Implementation of a simple method to compensate for bulk refractive index changes using sensor chip modifications.
Main Results:
- Demonstration of a platform capable of monitoring multiple, independent biospecific binding events concurrently.
- Successful integration of SPR spectroscopy and SPR microscopy for simultaneous analysis.
- Validation of a compensation method for refractive index fluctuations.
Conclusions:
- The developed system provides an effective platform for simultaneous monitoring of binding events on patterned arrays.
- The system's design using commercially available components facilitates duplication and widespread adoption.
- This technology offers a robust solution for analyzing complex biological interactions with high precision.