Abstract
Most plastics recycled today are recycled mechanically, often referred to as downcycling due to the inevitable degradation of the polymer material. One alternative is to chemically recycle these materials back to a monomer, but this works most efficiently for intrinsically circular polymers (iCPs) that exhibit appropriate depolymerization thermodynamics and kinetics. In order to help design such iCP materials, modeling can provide insight into the effect of reaction conditions on their polymerization and depolymerization characteristics. Most iCPs reported are linear polymers, so architecturally complex hyperbranched polymers that exhibit complete chemical circularity are rare, and modeling on hyperbranched iCPs has not been reported. Here, we report a mechanistic model that incorporates chain-length-dependent transport phenomena and tracks the full polymer structure during the reversible polymerization of a hydroxyl-functionalized lactone leading to this hyperbranched polyester. This lays the groundwork for future modeling of this material's depolymerization behavior and provides a framework that can be employed to study other iCPs.
Original language | English (US) |
---|---|
Article number | 101296 |
Journal | Chem Catalysis |
Volume | 5 |
Issue number | 4 |
DOIs | |
State | Published - Apr 17 2025 |
Funding
This work was supported by the National Science Foundation Graduate Research Fellowship under grant no. DGE-1842165 (to M.W.C.) and the US Department of Energy's Office of Energy Efficiency and Renewable Energy (EERE) under the Bioenergy Technologies Office award no. DE-EE0008928 (L.J.B.). This work was also performed as part of the Bio-Optimized Technologies to keep Thermoplastics out of Landfills and the Environment (BOTTLE) Consortium and was supported by the Advanced Materials and Manufacturing Technologies Office (AMMTO) and Bioenergy Technologies Office (BETO) under contract DE-AC36-08GO28308 with the National Renewable Energy Laboratory (NREL), operated by Alliance for Sustainable Energy, LLC. The BOTTLE Consortium includes members from Northwestern University and Colorado State University. This work used Expanse at the San Diego Supercomputer Center through allocation CTS120055 from the Advanced Cyberinfrastructure Coordination Ecosystem: Services & Support (ACCESS) program, which is supported by National Science Foundation grant nos. OAC-2138259, OAC-2138286, OAC-2138307, OAC-2137603, and OAC-2138296. This research was also supported in part through the computational resources and staff contributions provided for the Quest high performance computing facility at Northwestern University, which is jointly supported by the Office of the Provost, the Office for Research, and Northwestern University Information Technology. The authors are also grateful to Dr. Xiaoyang Liu and Dr. Robert Allen for helpful discussions.
Keywords
- SDG9: Industry, innovation, and infrastructure
- kinetic Monte Carlo
- kinetic modeling
- mechanistic modeling
- polymer reaction engineering
- polymerization
ASJC Scopus subject areas
- Chemistry (miscellaneous)
- Physical and Theoretical Chemistry
- Organic Chemistry