Dataset of working mPEG-alkyne with scCO₂

Area of Science:

• Thermodynamics
• Polymer Science
• Chemical Engineering

Background:

• Supercritical carbon dioxide (scCO2) is a tunable solvent with applications in material processing.
• Understanding polymer solubility in scCO2 is crucial for optimizing processes like polymer synthesis and cleaning.
• mPEG-alkyne is a polymer of interest for various applications, but its behavior in scCO2 requires detailed characterization.

Purpose of the Study:

• To present thermodynamic data for mPEG-alkyne in scCO2.
• To evaluate the sorption kinetics and thermodynamic properties of the polymer-solvent system.
• To provide data for modeling and predicting scCO2/polymer mixture behavior.

Main Methods:

• Sorption experiments were conducted using a high-pressure variable volume cell.
• CO2 density was determined using Sanchez-Lacombe and Bender equations, compared against NIST data.
• Characteristic parameters for CO2 were calculated using established equations.
• Solubility data was correlated using the Sanchez-Lacombe Equation of State (SL EOS) and a heuristic model.

Main Results:

• Time-dependent sorption of mPEG-alkyne in scCO2 was measured at various pressures and temperatures.
• Pressure and temperature effects on CO2 density were quantified and validated.
• Characteristic parameters for CO2 were determined with calculated errors.
• The SL EOS and heuristic model were applied to correlate scCO2/polymer solubility data.

Conclusions:

• The presented data offers valuable thermodynamic insights into the mPEG-alkyne and scCO2 system.
• Methodologies for solving the SL EOS and determining solubility parameters are described.
• This work contributes to the predictive modeling of polymer solubility in supercritical fluids.