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

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Published on: February 23, 2020

Droplet-based microfluidic platform for heterogeneous enzymatic assays.

Chieh Chang¹, Jess Sustarich, Rajiv Bharadwaj

¹Technology Division, Joint BioEnergy Institute, Emeryville, California 94608, United States.

|March 20, 2013

Summary

This study introduces droplet microfluidics for high throughput screening of enzymes with insoluble substrates, improving industrial enzyme optimization. This novel method offers faster, cheaper, and more efficient assays for heterogeneous enzymatic reactions.

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Area of Science:

Biotechnology and biochemical engineering
Enzyme technology
Microfluidics

Background:

Heterogeneous enzymatic reactions are crucial for industries like biofuels but lack high throughput assay platforms.
Current methods for enzyme optimization with insoluble substrates are time-consuming and costly.
Existing assays often use soluble substrates, which are not ideal for industrial applications.

Purpose of the Study:

To develop an innovative, high throughput method for assaying heterogeneous enzymatic reactions using droplet microfluidics.
To enable efficient optimization of enzymes used in industrial processes with insoluble substrates.
To provide a generic platform for monitoring diverse heterogeneous reactions.

Main Methods:

Utilized droplet microfluidics to create a high throughput platform for heterogeneous reactions.
Employed picoliter droplets for parallel reaction generation and rapid internal recirculation for mixing.
Validated the approach by screening cellulase combinations with insoluble substrates relevant to biofuel production.

Main Results:

Demonstrated excellent agreement between chip-based screening and conventional methods.
Achieved significant advantages in throughput, speed, and reduced reagent consumption.
Successfully screened enzyme combinations with real-world insoluble substrates.

Conclusions:

Droplet microfluidics offers a facile and efficient platform for high throughput heterogeneous reactions.
The developed method significantly improves enzyme optimization for industrial applications.
This approach provides a versatile platform applicable to various heterogeneous reaction monitoring needs beyond biofuels.