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Modelling the behaviour of switchable-hydrophilicity solvents
Jeremy Durelle1, Jesse R Vanderveen, Philip G Jessop
1Queen's University, Chernoff Hall, Kingston, Canada. philip.jessop@chem.queensu.ca.
A mathematical model predicts the behavior of switchable-hydrophilicity solvents (SHS) triggered by CO2. This model aids in optimizing SHS processes by guiding solvent selection and adjusting parameters like pressure and volume ratios.
Area of Science:
- Green Chemistry
- Physical Chemistry
- Chemical Engineering
Background:
- Switchable-hydrophilicity solvents (SHS) offer tunable miscibility with water.
- CO2 is an effective trigger for switching SHS properties.
- Optimizing SHS applications requires understanding solvent behavior and process parameters.
Purpose of the Study:
- To develop a mathematical model for CO2-triggered SHS.
- To predict SHS behavior based on basicity and hydrophilicity.
- To guide the optimization of processes utilizing SHSs.
Main Methods:
- Mathematical modeling of two-liquid (amine solvent/water) and three-liquid systems.
- Inclusion of 1-octanol and toluene as third components for comparison.
- Analysis of partitioning data.
Main Results:
- The model successfully narrows the search for suitable SHS based on their fundamental properties.
- Predictive capabilities allow for optimization of extrinsic parameters like pressure and volume ratios.
- Comparison with different third components validates the model's applicability.
Conclusions:
- The developed mathematical model is a valuable tool for SHS research and development.
- It facilitates the rational design and efficient application of CO2-triggered SHSs.
- The model supports process optimization in terms of solvent selection and operational conditions.
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