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Assay procedure optimization of a rapid, reusable protein C immunosensor for physiological samples
Heath I Balcer1, Hyun J Kwon, Kyung A Kang
1Biological Sciences Department, University of Maryland Baltimore County, Baltimore, USA.
Annals of Biomedical Engineering
|March 5, 2002
Summary
This study optimized a fiber-optic immunosensor for rapid and accurate protein C (PC) deficiency diagnosis. The developed sensor offers a faster, cost-effective tool for quantifying PC levels in plasma samples.
Area of Science:
- Biomedical Engineering
- Analytical Chemistry
- Immunosensing Technology
Background:
- Accurate quantification of protein C (PC) is crucial for diagnosing heterozygous PC deficiency.
- Existing diagnostic methods can be time-consuming and costly.
- Development of a rapid, cost-effective immunosensor is needed.
Purpose of the Study:
- To optimize key assay steps for a fiber-optic immunosensor designed for protein C (PC) quantification.
- To enhance the accuracy, speed, and cost-effectiveness of PC deficiency diagnosis.
- To report progress on the development of a novel PC detection tool.
Main Methods:
- Optimization of primary antibody concentration and assessment of its leaching.
- Determination of optimal fluorophore to secondary antibody ratio.
- Reduction of sample and secondary antibody incubation times.
- Evaluation of sensor performance with human plasma and under convective flow conditions.
Main Results:
- Optimal primary antibody concentration determined as 65 microg ml(-1) with minor leaching and stability over 30 days.
- Incubation times reduced to 5 min (sample) and 3 min (secondary antibody) while maintaining signal-to-noise ratio.
- Human plasma viscosity decreased signal intensity, but discrimination in the target range was achieved.
- Convective flow enhanced signal intensity by increasing PC mass transport.
Conclusions:
- The optimized fiber-optic immunosensor is a smaller, faster tool for PC detection in human plasma.
- The sensor provides a promising approach for accurate and cost-effective diagnosis of PC deficiency.
- Further development could lead to improved clinical diagnostic capabilities for thrombophilia.
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