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A Microfluidic-based Hydrodynamic Trap for Single Particles
Published on: January 21, 2011
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Microfluidic bead trap as a visual bar for quantitative detection of oligonucleotides
Zichen Zhao1, Yuanye Bao, Lok Ting Chu
1Department of Mechanical and Biomedical Engineering, City University of Hong Kong, Hong Kong Special Administrative Region. thchen@cityu.edu.hk.
Lab on a Chip
|September 5, 2017
Summary
This study presents a power-free microfluidic bead trap for easy, visual detection of oligonucleotides and lead ions. The system quantifies targets by forming a visible bar, offering a sensitive method for resource-limited settings.
Area of Science:
- Biotechnology
- Analytical Chemistry
- Microfluidics
Background:
- Oligonucleotide detection is crucial for diagnostics and environmental monitoring.
- Existing methods often require complex instrumentation and trained personnel.
- There is a need for simple, quantitative, and field-deployable detection platforms.
Purpose of the Study:
- To develop a novel microfluidic bead trap for naked-eye detection of oligonucleotides.
- To establish a quantitative assay based on visual bar formation.
- To demonstrate the platform's utility in detecting lead ions in complex samples.
Main Methods:
- Utilized magnetic microparticles (MMPs) and polystyrene microparticles (PMPs) for target capture.
- Employed capillary flow-driven microfluidics with a magnetic separator.
- Developed a visual bar readout based on trapped free PMPs at a nozzle.
Main Results:
- Achieved a limit of detection of 13 fmol (0.65 nM) for oligonucleotides.
- Demonstrated compatibility with single-nucleotide polymorphisms and complex bio-fluids.
- Successfully detected lead ions with a limit of detection of 12.2 nM (2.5 μg l⁻¹).
Conclusions:
- The developed microfluidic bead trap offers a power-free, instrument-free solution for quantitative oligonucleotide detection.
- The platform provides a simple, visual readout suitable for resource-limited environments.
- This technology has potential applications in diagnostics and environmental monitoring, such as lead contamination detection.

