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Published on: October 10, 2013
Prostate specific antigen detection in patient sera by fluorescence-free BioCD protein array
Xuefeng Wang1, Ming Zhao, David D Nolte
1Department of Physics, 525 Northwestern Avenue, West Lafayette, IN 47907-2036, United States.
Biosensors & Bioelectronics
|March 19, 2010
Summary
This study introduces a fluorescence-free biosensor for detecting prostate specific antigen (PSA) in serum. The BioCD demonstrates accurate PSA measurement in complex samples, paving the way for clinical applications.
Area of Science:
- Biomedical Engineering
- Biosensor Technology
- Proteomics
Background:
- Fluorescence-free biosensors offer label-free protein detection with quantitative signals.
- Non-specific binding in high-background samples like serum limits current fluorescence-free biosensor applications.
- Prostate specific antigen (PSA) is a key biomarker for prostate cancer detection.
Purpose of the Study:
- To evaluate the BioCD, a fluorescence-free biosensor utilizing optical interferometry, for protein detection.
- To assess the BioCD's capability in detecting prostate specific antigen (PSA) within patient serum samples.
- To overcome the limitations of non-specific binding in high-background biological fluids.
Main Methods:
- Utilized a 96-well anti-PSA microarray format with the BioCD optical interferometry biosensor.
- Tested the biosensor's performance using patient serum samples to detect PSA.
- Compared BioCD results with established enzyme-linked immunosorbent assay (ELISA) methods.
Main Results:
- Achieved a detection limit of 4 ng/ml for PSA in serum.
- Successfully measured PSA concentrations in patient sera, demonstrating quantitative accuracy.
- Observed strong correlation between BioCD measurements and ELISA results.
Conclusions:
- The BioCD fluorescence-free biosensor effectively detects PSA in high-background serum samples.
- Demonstrated potential for clinical applications by overcoming non-specific binding challenges.
- The technology offers a promising label-free approach for biomarker detection in complex biological matrices.
