Dual utilization of CO2 in polymethyl methacrylate: A predictive solubility model for microcellular foaming and controlled drug release

This study propose and validate a testing methodology for process control of the Microcellular Foaming Process (MCP), which is essential for achieving reproducible and uniform cell morphologies. A critical component of this methodology is the accurate prediction of CO 2 solubility. Previous studies have mainly relied on the Sanchez–Lacombe and Peng–Robinson–Stryjek–Vera equations (PRSV–EOS) of state along with the chemical potential equilibrium approach. However, PRSV–EOS exhibit limited accuracy in predicting CO 2 density near the critical points and phase transition boundaries. To improve the accuracy of such predictions, herein, we used the Span–Wagner equation of state. Although a constant binary interaction parameter was used for computational simplicity, the model was successfully validated with an average relative deviation below 8.5% in the range of 263–313 K and 0–8 MPa. Based on the calculated solubility, post-analysis of the MCP results enabled the identification of essential parameters for predicting cell density under these conditions. Additionally, a polymethyl methacrylate–sodium benzoate (NaBz) composite was fabricated and tested for its release characteristics The findings revealed that the release characteristics varied with the NaBz volume fraction of this composite and the initial porosity generated by the MCP, showing percolation-dependent behavior. This confirms the MCP's potential as a valuable testing and fabrication technique for high-value biomedical applications. • Predicting CO 2 solubility by coupling Span-Wagner (SW-EOS) and Sanchez-Lacombe (SL-EOS) is proposed. • The model is validated with < 8.5% average relative deviation using a constant binary interaction parameter. • Saturation temperature controls CO 2 solubility, regulating cell density and porosity. • Microcellular foaming is utilized to control the initial porosity of PMMA–sodium benzoate (NaBz) composites. • Drug release from the foamed composite is governed by percolation, which is dependent on the initial porosity and the initial drug loading.

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Publication Details

Journal
Polymer Testing
Published
2025-12-25
DOI
https://doi.org/10.1016/j.polymertesting.2025.109080
Primary Topic
Polymer Foaming and Composites
Type
article
Field-Weighted Citation Impact
0.00
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article

Dual utilization of CO2 in polymethyl methacrylate: A predictive solubility model for microcellular foaming and controlled drug release

Sung Woon, Jaehoo Kim, Donghwan Lim, Jaewoo Kim et al.
Polymer Testing
Polymer Foaming and Composites
article

Dual utilization of CO2 in polymethyl methacrylate: A predictive solubility model for microcellular foaming and controlled drug release

Sung Woon, Jaehoo Kim, Donghwan Lim, Jaewoo Kim, Jiwon Kwon, Kwanhoon Kim, Yong Hoon Jang, Jun Young Yoon
article en

Abstract

This study propose and validate a testing methodology for process control of the Microcellular Foaming Process (MCP), which is essential for achieving reproducible and uniform cell morphologies. A critical component of this methodology is the accurate prediction of CO 2 solubility. Previous studies have mainly relied on the Sanchez–Lacombe and Peng–Robinson–Stryjek–Vera equations (PRSV–EOS) of state along with the chemical potential equilibrium approach. However, PRSV–EOS exhibit limited accuracy in predicting CO 2 density near the critical points and phase transition boundaries. To improve the accuracy of such predictions, herein, we used the Span–Wagner equation of state. Although a constant binary interaction parameter was used for computational simplicity, the model was successfully validated with an average relative deviation below 8.5% in the range of 263–313 K and 0–8 MPa. Based on the calculated solubility, post-analysis of the MCP results enabled the identification of essential parameters for predicting cell density under these conditions. Additionally, a polymethyl methacrylate–sodium benzoate (NaBz) composite was fabricated and tested for its release characteristics The findings revealed that the release characteristics varied with the NaBz volume fraction of this composite and the initial porosity generated by the MCP, showing percolation-dependent behavior. This confirms the MCP's potential as a valuable testing and fabrication technique for high-value biomedical applications. • Predicting CO 2 solubility by coupling Span-Wagner (SW-EOS) and Sanchez-Lacombe (SL-EOS) is proposed. • The model is validated with < 8.5% average relative deviation using a constant binary interaction parameter. • Saturation temperature controls CO 2 solubility, regulating cell density and porosity. • Microcellular foaming is utilized to control the initial porosity of PMMA–sodium benzoate (NaBz) composites. • Drug release from the foamed composite is governed by percolation, which is dependent on the initial porosity and the initial drug loading.

Polymer TestingVol. 155
Korea Advanced Institute of Science and Technology (KR), Yonsei University (KR), Korea University (KR), Korea Institute of Science and Technology (KR)
Openalex Percentile: Top 47%
Polymer Foaming and Composites
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