Optimized Microfluidic Biosensor for Sensitive C-Reactive Protein Detection.
Amirmahdi Tavakolidakhrabadi1,2, Matt Stark1, Alexander Küenzi1
1Institute for Human Centered Engineering HuCE, Department of Engineering and Computer Science, Bern University of Applied Sciences, 2501 Biel, Switzerland.
Microfluidic integration enhances lateral flow immunoassays (LFIA) for point-of-care testing (POCT). This innovation boosts C-reactive protein (CRP) detection sensitivity and range, enabling efficient diagnostics.
Area of Science:
- Biomedical Engineering
- Analytical Chemistry
- Point-of-Care Diagnostics
Background:
- Traditional lateral flow immunoassays (LFIA) face limitations in sensitivity and detection range for C-reactive protein (CRP).
- Current methods often require multiple steps and buffer solutions, increasing complexity and potential for error.
- Optimizing fluid dynamics is crucial for improving assay performance in point-of-care testing (POCT).
Purpose of the Study:
- To enhance the sensitivity and expand the detection range of CRP using microfluidic-integrated LFIA.
- To develop a simplified, one-step detection system for CRP suitable for POCT.
- To improve the efficiency and reduce resource requirements for CRP diagnostics.
Main Methods:
- Integration of LFIA into microfluidic chips for precise fluid control.
- Utilized gold nanoparticle and fluorescent labels for CRP detection across different concentration ranges.
- Minimized nitrocellulose pad area and eliminated buffer solution steps.
Main Results:
- Microfluidic control enhanced CRP detection sensitivity and accuracy.
- Gold nanoparticle method achieved high sensitivity (1-10 μg/mL) for chronic disease monitoring.
- Fluorescent labels extended the CRP detection range to 1-70 μg/mL, covering infection levels.
- Reduced non-specific binding and eliminated the need for pad blocking.
Conclusions:
- Microfluidic integration significantly improves LFIA performance for CRP detection.
- The developed system offers enhanced operational efficiency, reduced resource use, and greater control over fluid dynamics.
- This approach is suitable for resource-limited settings, paving the way for accessible and cost-effective POCT.
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