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Updated: Jun 22, 2026

A Microfluidic Chip for ICPMS Sample Introduction

A Microfluidic Chip for ICPMS Sample Introduction

Published on: March 5, 2015

Droplet-based microfluidics and enzyme evolution.

Ankit Jain¹, Stavros Stavrakis¹, Andrew deMello¹

¹Institute for Chemical and Bioengineering, Department of Chemistry and Applied Biosciences, ETH Zürich, Vladimir Prelog Weg 1, 8093 Zürich, Switzerland.

Current Opinion in Biotechnology

|March 2, 2024

Summary

This summary is machine-generated.

Enzyme engineering creates novel enzymes for industrial applications. Droplet-based microfluidics accelerates the screening of large enzyme variant libraries, advancing directed evolution for improved biocatalysts.

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Area of Science:

Biocatalysis and enzyme engineering
Microfluidics and high-throughput screening

Background:

Enzymes are crucial industrial catalysts but often require adaptation for non-natural conditions.
Enzyme engineering aims to create novel enzymes with enhanced stability, activity, and selectivity.
Traditional screening methods struggle with the scale and speed required for large mutagenesis libraries.

Purpose of the Study:

To describe the application of droplet-based microfluidics in enzyme engineering.
To highlight how microfluidics enhances the screening of enzyme variant libraries.
To showcase advancements in directed evolution facilitated by microfluidic technologies.

Main Methods:

Utilizing droplet-based microfluidic systems for high-throughput screening.
Producing, processing, and sorting picoliter droplets at kilohertz rates.
Applying these systems to screen large mutagenesis libraries for enzyme variants with desired attributes.

Main Results:

Droplet-based microfluidics enables robust and timely screening of extensive enzyme libraries.
This technology significantly accelerates the identification of enzyme variants with improved properties.
Facilitates the advancement of directed evolution strategies for enzyme optimization.

Conclusions:

Droplet-based microfluidics is a powerful tool for enzyme engineering.
It overcomes limitations of traditional screening methods for large libraries.
This technology significantly advances the field of directed evolution for biocatalyst development.