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Fluorescence detection methods for microfluidic droplet platforms
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High-throughput, quantitative enzyme kinetic analysis in microdroplets using stroboscopic epifluorescence imaging.

David Hess1, Anandkumar Rane1, Andrew J deMello1

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

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Summary

This study introduces a new microfluidic method to track enzyme kinetics in individual droplets. This approach enables detailed characterization of enzyme-inhibitor interactions with high precision.

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Area of Science:

  • Biochemistry and Biophysics
  • Microfluidics and Chemical Engineering

Background:

  • Droplet-based microfluidics offers advantages for enzyme kinetics, including high time resolution and low sample consumption.
  • Conventional single-point detection in microfluidics limits tracking individual droplets over time.
  • This limitation hinders comprehensive analysis of enzyme reaction kinetics within discrete micro-environments.

Purpose of the Study:

  • To develop a novel method for extensive characterization of enzyme-inhibitor reaction kinetics.
  • To enable tracking of individual, rapidly moving droplets through an extended microfluidic channel for kinetic analysis.
  • To overcome the limitations of single-point detection in droplet-based microfluidic kinetic studies.

Main Methods:

  • Production of pL-volume droplets with varying fluorogenic substrate (resorufin β-d-galactopyranoside) and constant enzyme (β-galactosidase) concentrations at >150 Hz.
  • Utilized stroboscopic laser excitation and a dual-view detection system to capture "blur-free" images of up to 150 droplets per frame.
  • Developed a method to extract kinetic data from all individual droplets within a single experiment.

Main Results:

  • Successfully performed Michaelis-Menten analysis, yielding a Michaelis constant (Km) of 353 μM for β-galactosidase.
  • Extracted the dissociation constant for the competitive inhibitor isopropyl β-d-1-thiogalactopyranoside using the developed method.
  • Demonstrated the efficiency and accuracy of tracking individual droplets for comprehensive kinetic profiling.

Conclusions:

  • The novel microfluidic approach enables detailed kinetic characterization of enzyme-inhibitor reactions by tracking individual droplets.
  • This method overcomes previous limitations, allowing for extensive kinetic data extraction from a single experiment.
  • The technique provides a powerful tool for investigating enzyme kinetics and inhibitor interactions in pL-scale volumes.