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Solvents01:12

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A solvent is a substance, most often a liquid, that can dissolve other substances. Here, the substance being dissolved is called a solute. When a solvent and a solute combine, they form a solution - a homogenous mixture of both the solvent and the solute. Water is a universal biological solvent. Its polar structure allows it to dissolve many other polar compounds. The ability of water to dissolve is governed by a balance between water molecules binding to each other and binding to the solute.
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In an NMR sample, precise measurement of the absolute absorption frequencies of nuclei is difficult. A standard internal reference compound is added, and the frequency difference between the reference signal and sample signals is measured.
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  1. Home
  3. Computer Vision Helps Experimentally Monitor Mixing Effects In Deep Eutectic Solvents.
  1. Home
  3. Computer Vision Helps Experimentally Monitor Mixing Effects In Deep Eutectic Solvents.

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Computer Vision Helps Experimentally Monitor Mixing Effects in Deep Eutectic Solvents.

Calum Fyfe1, Rhoda Duncan1, Timothy J D McCabe1

  • 1Department of Pure and Applied Chemistry, University of Strathclyde, Glasgow G1 1XL, U.K.

ACS Sustainable Chemistry & Engineering
|October 24, 2025

View abstract on PubMed

Summary
This summary is machine-generated.

Computer vision quantifies mixing in deep eutectic solvents (DESs), overcoming viscosity challenges. Optimizing temperature and vessel design using this technique enhances sustainable solvent applications in chemical synthesis.

Keywords:
cameracomputational fluid dynamicsgreen chemistryimagingmass transfermixingreaction optimizationsustainable synthesisviscosity

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Area of Science:

  • Green Chemistry and Sustainable Solvents
  • Materials Science and Engineering
  • Chemical Process Monitoring and Optimization

Background:

  • Deep eutectic solvents (DESs) are sustainable alternatives to petroleum-based solvents but often exhibit high viscosity, hindering efficient mixing.
  • Effective mixing is crucial for optimizing reaction kinetics and yields in DES-mediated syntheses.
  • Traditional methods for assessing mixing can be invasive or lack quantitative precision.

Purpose of the Study:

  • To apply computer vision for quantitative, non-invasive monitoring and optimization of mixing processes in various DES formulations.
  • To investigate the influence of temperature and vessel geometry on DES mixing dynamics.
  • To demonstrate the practical utility of computer vision-based mixing analysis for sustainable synthetic methodologies.

Main Methods:

  • Utilized Kineticolor video analysis software to track mixing dynamics in three model DES systems (ChCl/EG, ChCl/G, ChCl/U).
  • Experimentally varied parameters including temperature (25-60 °C) and vessel geometries.
  • Employed Computational Fluid Dynamics (CFD) simulations to validate experimental findings and analyze flow fields.

Main Results:

  • Mixing times varied significantly, from seconds to over 60 minutes, depending on DES viscosity and conditions.
  • Increasing temperature from 25 °C to 60 °C reduced mixing times by up to 10-fold.
  • CFD simulations confirmed restricted flow fields in narrow geometries with highly viscous DES, correlating with experimental observations.

Conclusions:

  • Computer vision provides a robust, non-invasive method for quantifying and optimizing mixing in challenging DES systems.
  • Understanding mixing phenomena through video analysis is essential for advancing sustainable DES applications in chemical synthesis.
  • This approach bridges the gap between the potential of DES and their practical implementation in industrial processes.