A microfluidic paper-based electrochemical biosensor array for multiplexed detection of metabolic biomarkers
Chen Zhao1, Martin M Thuo2, Xinyu Liu1
1Department of Mechanical Engineering, McGill University, 817 Sherbrooke Street West, MD270, Montreal, Quebec, H3A 0C3, Canada.
This study introduces a novel paper-based biosensor array for detecting multiple metabolic biomarkers in urine. The low-cost, rapid, and efficient device offers valuable point-of-care diagnostic information.
Area of Science:
- Biomedical Engineering
- Analytical Chemistry
- Point-of-Care Diagnostics
Background:
- Paper-based microfluidic devices offer a low-cost platform for analytical testing.
- Multiplexed detection of metabolic biomarkers is crucial for comprehensive health assessment.
- Existing paper-based electrochemical devices often lack multi-analyte detection capabilities.
Purpose of the Study:
- To develop a microfluidic paper-based electrochemical biosensor array for simultaneous detection of multiple metabolic biomarkers.
- To evaluate the analytical performance of the developed biosensor array for clinically relevant analytes.
- To enable rapid, cost-efficient, and high-density diagnostic information acquisition at the point of care.
Main Methods:
- Fabrication of a paper-based microfluidic device featuring an array of eight electrochemical sensors.
- Integration of a custom-made handheld electrochemical reader (potentiostat) for signal acquisition.
- Demonstration of simultaneous detection of glucose, lactate, and uric acid in urine samples.
Main Results:
- The biosensor array successfully detected multiple analytes (glucose, lactate, uric acid) in a single run.
- Analytical performance was comparable to existing commercial and paper-based platforms.
- The device enabled multiple measurements per analyte from a single sample.
Conclusions:
- The developed paper-based biosensor array provides a powerful tool for multiplexed metabolic biomarker detection.
- The system enables rapid, cost-efficient, and statistically meaningful diagnostic information acquisition.
- This technology has the potential to significantly advance point-of-care diagnostics.
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