Mathematical Modeling of Supercritical CO2 Extraction Process for VOC Removal and Odor Improvement in Recycled Plastics 


Vol. 31,  No. 4, pp. 243-253, Dec.  2025
10.7464/ksct.2025.31.4.243


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  Abstract

This study investigates the application of supercritical carbon dioxide (scCO2) extraction for the effective removal of volatile organic compounds (VOCs) from recycled polypropylene (PP). The mass transfer characteristics of the process were quantitatively evaluated using the Sovová model. Extraction parameters including temperature, time, CO2 flow rate, and sample loading were varied, and a maximum VOC removal efficiency of 96.4% was achieved at 60 oC for 360 minutes. The Sovová model predictions showed strong agreement with the experimental data, with an absolute average relative deviation (AARD) of 4.61 to 10.8%, confirming the model’s reliability. Furthermore, the influence of the process parameters was analyzed by maintaining a constant solvent-to-feed (S/F) ratio while varying extraction times and sample masses in order to optimize the process and design scaled up models. These findings highlight the potential of scCO2 extraction for minimizing thermal degradation while achieving high-efficiency VOC removal. Furthermore, the findings suggest that scCO2 extraction may be practical for advanced plastic recycling technologies.

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  Cite this article

[IEEE Style]

G. W. Shin, J. S. Lim, J. Kim, D. S. Jung, H. Lee, "Mathematical Modeling of Supercritical CO2 Extraction Process for VOC Removal and Odor Improvement in Recycled Plastics," Clean Technology, vol. 31, no. 4, pp. 243-253, 2025. DOI: 10.7464/ksct.2025.31.4.243.

[ACM Style]

Gun Woo Shin, Ji Sun Lim, Jaehoon Kim, Dae Sung Jung, and Hong-shik Lee. 2025. Mathematical Modeling of Supercritical CO2 Extraction Process for VOC Removal and Odor Improvement in Recycled Plastics. Clean Technology, 31, 4, (2025), 243-253. DOI: 10.7464/ksct.2025.31.4.243.

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