Solvent-mediated contaminant removal from plastic waste using thermodynamic modeling

Abstract

Plastics recycling is hindered by the compositional complexity of plastic waste, which can include numerous polymer components as well as low concentrations of additives and non-intentionally added substances. These latter small-molecule species, which we collectively refer to as contaminants, can harm human health and will build up in recycled plastic causing environmental and downstream processing challenges if not removed. In this work, we present molecular modeling approaches using the COnductor-like Screening MOdel for Real Solvents (COSMO-RS) to guide the selection of solvents that are capable of removing targeted contaminants from plastic waste. By considering the thermodynamic partitioning of contaminant species between a solvent phase and polymer phase, we identify guidelines for solvent selection to promote either the low-temperature extraction of contaminants from plastic waste or the removal of contaminants as part of a dissolution-based plastics recycling process. We present four case studies to illustrate the application of the computational approach to the removal of brominated flame retardants, phthalates, and selected perfluoroalkyl substances, and compare to both literature and newly collected experimental data to illustrate model prediction accuracy. The case studies highlight the capability of the modeling approach to help design recycling processes that explicitly account for contaminant removal, thereby increasing product purity during dissolution-based recycling or facilitating chemical recycling of contaminant-free plastics.

Graphical abstract: Solvent-mediated contaminant removal from plastic waste using thermodynamic modeling

Supplementary files

Article information

Article type
Paper
Submitted
13 Nov 2025
Accepted
07 May 2026
First published
18 May 2026

Green Chem., 2026, Advance Article

Solvent-mediated contaminant removal from plastic waste using thermodynamic modeling

P. Zhou, U. M. Ikegwu, E. Radkevich, E. Ra, H. Liburd, G. W. Huber, V. M. Zavala and R. C. Van Lehn, Green Chem., 2026, Advance Article , DOI: 10.1039/D5GC06059A

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