Membrane-based microfluidic chip constructed and applied in magnetic microparticle anchoring-and-release digital
Songbai Tian1, Tingting Xiang2, Xinghu Ji3
1College of Chemistry and Molecular Sciences, Wuhan University, 430072, Wuhan, China; School of Basic Medical Sciences, Hubei University of Medicine, 442000, Shiyan, China.
We developed a novel digital immunoassay using magnetic microparticles to reduce target loss during protein detection. This magnetic microparticle anchoring-and-release method enhances accuracy for quantifying proteins like p24.
Area of Science:
- Biotechnology
- Analytical Chemistry
- Biochemistry
Background:
- Digital immunoassay enables single-molecule protein quantification.
- Traditional methods like single-molecule arrays (SiMoAs) suffer from target loss during droplet distribution.
- Improved methods are needed to minimize signal loss and enhance detection accuracy.
Purpose of the Study:
- To develop a magnetic microparticle anchoring-and-release digital immunoassay for sensitive protein detection.
- To overcome limitations of target loss in conventional digital immunoassays.
- To validate the method's performance in detecting the p24 protein.
Main Methods:
- Utilized a microfluidic chip with a track-etched polycarbonate (PCTE) membrane for droplet generation.
- Modified magnetic microparticles (MMPs) with enzymes for signal production.
- Implemented a two-step process: anchoring MMPs via target protein in 96-well plates, followed by release and digital quantification in the microfluidic chip.
Main Results:
- Successfully applied the method for digital detection of p24 protein.
- Achieved sensitive detection of p24 within the range of 1-100 pg/mL.
- Demonstrated good selectivity and accuracy, indicating reduced signal loss.
Conclusions:
- The magnetic microparticle anchoring-and-release digital immunoassay significantly reduces signal loss compared to traditional methods.
- This advancement offers a more accurate and sensitive approach for digital protein quantification.
- The method shows promise for various applications requiring precise protein detection at the single-molecule level.
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