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Updated: Jun 17, 2026

Digital Microfluidics for Automated Proteomic Processing
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AM-DMF-ddRPA: an All-in-One Digital Microfluidic Platform for Rapid and Automatic Digital Nucleic Acid Analysis.

Jiajian Ji1,2, Xinpei Pang1,2, Chunyu Chang2

  • 1School of Biomedical Engineering (Suzhou), Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230026, P.R. China.

Angewandte Chemie (International Ed. in English)
|May 27, 2025
PubMed
Summary

A new automated microfluidics method rapidly quantifies influenza A and B viruses (IAV and IBV) in under an hour. This digital nucleic acid quantification analysis offers high sensitivity for disease diagnosis.

Keywords:
Artificial intelligenceDigital microfluidics (DMF)Droplet digital recombinase polymerase amplification (ddRPA)Lab‐on‐chip (LOC)Microelectronic devicesVirus detection

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Area of Science:

  • Biotechnology
  • Microfluidics
  • Molecular Diagnostics

Background:

  • Accurate nucleic acid quantification analysis (NQA) is vital for disease management.
  • Current digital NQA methods often lack automation and speed.
  • Rapid and automated NQA is needed for timely diagnostics.

Purpose of the Study:

  • To develop a rapid and automated digital microfluidics method for nucleic acid quantification.
  • To quantify influenza A and B viruses (IAV and IBV) efficiently.
  • To enable high-throughput, single-molecule detection for disease diagnostics.

Main Methods:

  • Developed an active-matrix digital microfluidics-based droplet digital recombinase polymerase amplification (AM-DMF-ddRPA) method.
  • Fabricated an AM-DMF chip with high-throughput electrodes and an AI droplet navigation algorithm.
  • Implemented a dual-target RPA system for simultaneous IAV and IBV detection.

Main Results:

  • Achieved complete workflow automation from nucleic acid extraction to analysis in 60 minutes.
  • Successfully manipulated 4608 droplets (0.9 nL each) using AI-driven navigation.
  • Demonstrated ultra-high sensitivity with a 1.69 copies per reaction detection limit.
  • Reported 100% concordance with quantitative PCR (qPCR) results using clinical samples.

Conclusions:

  • The AM-DMF-ddRPA method provides a rapid, automated, and highly sensitive solution for NQA.
  • This technology significantly advances disease diagnosis, treatment monitoring, and research.
  • The platform shows great potential for widespread application in molecular diagnostics.