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Electrowetting-based Digital Microfluidics Platform for Automated Enzyme-linked Immunosorbent Assay

Electrowetting-based Digital Microfluidics Platform for Automated Enzyme-linked Immunosorbent Assay

Published on: February 23, 2020

Towards an electrowetting-based digital microfluidic platform for magnetic immunoassays.

Vincent Schaller¹, Anke Sanz-Velasco, Alexey Kalabukhov

¹Department of Microtechnology and Nanoscience-MC2, Chalmers University of Technology, SE-412 96, Göteborg, Sweden. vincent.schaller@chalmers.se

|November 12, 2009

Summary

We show ElectroWetting-On-Dielectric (EWOD) can move magnetic nanoparticles (MNPs) for sensitive detection. This method enhances signal 2.5x in small droplets, paving the way for advanced magnetic immunoassays.

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Area of Science:

Biomedical Engineering
Nanotechnology
Physics

Background:

Sensitive detection of magnetic nanoparticles (MNPs) is crucial for immunoassays.
Droplet-based sample handling offers advantages in miniaturization and efficiency.
Superconducting Quantum Interference Devices (SQUIDs) provide highly sensitive magnetic field detection.

Purpose of the Study:

To demonstrate a proof-of-concept for a highly sensitive magnetic immunoassay platform.
To integrate ElectroWetting-On-Dielectric (EWOD) for droplet manipulation with SQUID detection of MNPs.
To evaluate the impact of sample volume on MNP detection sensitivity.

Main Methods:

Magnetic AC-susceptibility measurements were performed on 100 nm MNPs.
MNPs were suspended in 2 microl de-ionized water droplets.
Transport and detection were achieved using EWOD and a high-Tc dc SQUID gradiometer.

Main Results:

Successful transport and SQUID detection of MNPs in a 2 microl droplet were demonstrated.
Signal amplitude per unit volume was 2.5 times higher for a 2 microl sample compared to a 30 microl sample.
This confirms the potential of droplet-based handling for enhanced MNP detection sensitivity.

Conclusions:

The integrated EWOD and SQUID system represents a novel approach for magnetic nanoparticle detection.
This methodology is a key developmental step towards sensitive, droplet-based magnetic immunoassay platforms.
Optimizing sample volume in droplet format significantly improves detection sensitivity.