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Microfluidic Chip Fabrication and Method to Detect Influenza
Published on: March 26, 2013
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Digital-to-Droplet Microfluidic Platform Powered Digital Isothermal Nucleic Acid Amplification for On-Demand
Hongting Wen1, Enqi Huang1, Yuzhang Chen1
1Department of Laboratory Medicine, the Second Affiliated Hospital, School of Medicine, South China University of Technology, Guangzhou, Guangdong 510180, China.
Analytical Chemistry
|December 5, 2025
Summary
This study presents an automated digital isothermal nucleic acid amplification (dINA) assay on a digital-to-droplet microfluidic platform for rapid infectious disease diagnosis. The system enables on-demand pathogen detection with high throughput and accuracy.
Area of Science:
- Biotechnology
- Microfluidics
- Molecular Diagnostics
Background:
- Severe infectious disease diagnosis faces challenges due to variable sample timing, diverse targets, and rapid turnaround needs.
- Current methods require development of on-demand detection strategies for timely etiological diagnosis.
Purpose of the Study:
- To introduce an automated digital isothermal nucleic acid amplification (dINA) assay using a digital-to-droplet (D2D) microfluidic platform.
- To enable on-demand detection methodologies for severe infectious diseases.
Main Methods:
- Developed a D2D microfluidic system for continuous droplet manipulation and interfacing with multiple units.
- Integrated digital microfluidics (DMF) for automated nucleic acid extraction and loop-mediated isothermal amplification (LAMP) reagent mixing.
- Utilized picoliter-scale droplets for dINA analysis after LAMP reaction in microliter droplets.
Main Results:
- Demonstrated on-demand processing of samples upon receipt, reducing turnaround times.
- Achieved substantial scalability in diagnostic throughput.
- Provided absolute quantification of nucleic acids without reliance on calibration standards.
- Successfully detected viruses causing post-transplantation infections in a proof-of-concept study.
Conclusions:
- The D2D platform facilitates efficient and adaptable on-demand detection of pathogens in severe infectious diseases.
- This automated system addresses limitations of traditional diagnostic approaches, improving timely diagnosis.

