Related Experiment Video
Updated: Feb 23, 2026

10:07
Generating Controlled, Dynamic Chemical Landscapes to Study Microbial Behavior
Published on: January 31, 2020
6.7K
A recursive microfluidic platform to explore the emergence of chemical evolution
David Doran1, Marc Rodriguez-Garcia1, Rebecca Turk-MacLeod1
1WestCHEM, School of Chemistry, University of Glasgow, University Avenue, Glasgow G12 8QQ, UK.
Beilstein Journal of Organic Chemistry
|September 15, 2017
Summary
We developed an automated evolution machine using droplet microfluidics to study the origin of life. This system drives artificial chemical evolution, enabling selection of droplets based on traits like osmolarity and size.
Area of Science:
- * Origin of Life research
- * Chemical evolution
- * Microfluidics and automation
Background:
- * Understanding the origin of life requires exploring chemical evolution pathways.
- * Current methods often lack the automation and unbiased selection needed for complex evolutionary studies.
- * Droplet microfluidics offers a powerful platform for high-throughput experimentation.
Purpose of the Study:
- * To propose and prototype a chemically agnostic automated platform for inducing artificial chemical evolution.
- * To design and build an open-source, automated evolution machine using droplet microfluidics.
- * To demonstrate the platform's capability in selecting functional units based on physicochemical properties.
Main Methods:
- * Development of a seven-module automated system: droplet generator, transfer, sorting, splitter, incubation, reservoir, and injectors.
- * Integration of modules using LabVIEW™ for synchronized operation.
- * Proof-of-principle experiments involving osmotic exchange in droplets with varying osmolarity.
Main Results:
- * Successful demonstration of individual module functionality.
- * Observation of osmotic exchange between glycylglycine-containing and pure aqueous droplets.
- * Evidence that droplets with higher osmolarity exhibited increased size, indicating selection advantage.
Conclusions:
- * The automated platform can drive cycles of droplet evolution (birth, selection, fusion, propagation).
- * The system effectively selects functional units based on simple physicochemical criteria.
- * This approach combines automation efficiency with the ability to explore chemical evolution for origin of life studies.

