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

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Published on: February 23, 2020

Microfluidic enzymatic biosensing systems: A review.

Stefan Mross¹, Sebastien Pierrat², Tom Zimmermann²

¹Electronic Components and Circuits, Faculty of Engineering Sciences, University Duisburg-Essen, Bismarckstrasse 81, 47057 Duisburg, Germany; Fraunhofer Institute for Microelectronic Circuits and Systems IMS, Finkenstrasse 61, 47057 Duisburg, Germany.

Biosensors & Bioelectronics

|April 5, 2015

Summary

This summary is machine-generated.

This review explores enzyme-based microfluidic biosensors, detailing immobilization methods, detection techniques, and strategies to extend linear measurement ranges for enhanced automation and specificity.

Keywords:

Enzymes Immobilization Integration Microfluidic systems

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Area of Science:

Biomedical Engineering
Analytical Chemistry
Biotechnology

Background:

Enzyme-based microfluidic biosensing offers high specificity, broad analyte detection, and automation.
Key factors influencing system performance require detailed examination for optimization.

Purpose of the Study:

To provide a comprehensive overview of enzyme-based microfluidic biosensing systems.
To discuss immobilization protocols, detection methods, and strategies for extending linear measurement ranges.
To review various enzyme integration techniques within microfluidic platforms.

Main Methods:

Discussion of immobilization protocols (physisorption, covalent bonding).
Analysis of detection techniques (amperometry, fluorescence).
Review of enzyme integration methods (in channels, on electrodes, microparticles, paper/thread, injected solutions).

Main Results:

Comparison of immobilization and detection methods based on effort, lifetime, and measurement range.
Introduction to enzyme kinetics (Michaelis-Menten model), redox mediators, and linear range limitations.
Presentation of methods to extend linear measurement range (diffusion-limiting membranes, flow injection).

Conclusions:

Enzyme integration into microfluidics faces constraints due to biomolecule sensitivity to temperature and solvents.
Diverse integration strategies exist, each with specific fabrication, application, and performance characteristics.
Optimizing these factors is crucial for advancing automated and specific microfluidic biosensing.