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Electrowetting-based Digital Microfluidics Platform for Automated Enzyme-linked Immunosorbent Assay
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A Synergistic Magneto-Inertial Manipulation (SMIM) Microfluidic Platform Enabling On-Chip Single-Bead Encapsulation

Jiawei Chen1,2, Zhenyu Wang2,3, Runhuai Yang1

  • 1School of Biomedical Engineering, Anhui Medical University, Hefei 230032, China.

Analytical Chemistry
|June 17, 2026
PubMed
Summary

This study introduces a microfluidic system for droplet digital enzyme-linked immunosorbent assay (ddELISA) that enhances protein quantification. It achieves high single-bead encapsulation efficiency and reduces background noise for more accurate digital bioanalysis.

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Area of Science:

  • Biotechnology and Bioengineering
  • Microfluidics and Lab-on-a-Chip Technologies
  • Immunoassays and Molecular Diagnostics

Background:

  • Droplet digital enzyme-linked immunosorbent assay (ddELISA) offers ultrasensitive protein quantification but suffers from low single-bead encapsulation efficiency and background interference.
  • Poisson statistics limit stochastic loading, leading to inefficient encapsulation and inaccurate results in traditional ddELISA.
  • Existing methods struggle with high-throughput processing and effective elimination of empty droplets, hindering assay performance.

Purpose of the Study:

  • To develop an integrated microfluidic system overcoming encapsulation inefficiency and background interference in ddELISA.
  • To enhance single-bead encapsulation efficiency and enable active sorting of bead-containing droplets.
  • To establish a deterministic approach for bead encapsulation, transforming it from a stochastic to a controlled process.

Main Methods:

  • Synergistic magneto-inertial manipulation (SMIM) combining magnetic fields and laminar inertial focusing for bead manipulation.
  • Ordered single-file bead focusing prior to droplet generation to overcome Poisson limits.
  • Integrated magnetic sorting module for active capture of bead-containing droplets and elimination of empty ones.

Main Results:

  • Achieved 81.31% single-bead encapsulation efficiency, a 2.21-fold improvement over stochastic loading, and 91.11% total encapsulation efficiency.
  • The magnetic sorting module captured bead-containing droplets with 93.97% efficiency while eliminating over 91% of empty droplets.
  • Validated quantitative capability with a dual-color fluorescent bead assay (R² = 0.9977) and an E. coli O157 ddELISA (LOD = 18.23 cells mL⁻¹).

Conclusions:

  • The integrated microfluidic platform successfully addresses key limitations of ddELISA, significantly improving performance.
  • SMIM enables a deterministic bead encapsulation process, leading to higher accuracy and reliability in digital bioanalysis.
  • This broadly applicable framework provides a robust solution for high-throughput, single-particle-resolved digital assays.