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Elucidating activity-property relationships of dual catalysts for poly(ethylene terephthalate) depolymerisation

Matt J. Price, Anna Bachs-Herrera, Arianna Brandolese, Yuya Watanabe, Matthew N Grayson, Antoine Buchard, Andrew P. Dove

Research output: Contribution to journalArticlepeer-review

Abstract

Polyethylene terephthalate (PET) is one of the most prominent single-use plastics. It can be readily circularised via chemical depolymerisation to monomer and subsequent repolymerisation to deliver virgin quality PET from waste. Chemical recycling-to-monomer (CRM) approaches rely on catalysts to enhance the activity of the depolymerisation process. Recently, dual-catalytic systems that combine inexpensive and readily available Lewis acids with simple organobases have displayed cooperative catalytic activity, among the highest reported for these processes; however, their mechanism of action, alongside the large number of possible combinations, makes identifying ideal catalyst species challenging. In this manuscript, we systematically explore the relationship between metal Lewis acids and organobases and their impact on PET glycolysis activity. These studies reveal a relationship between metal acetate electronegativity and the pKa of the organobase that can be used to predict the most active combination for a given metal salt or organobase. Furthermore, through preliminary DFT calculations, we demonstrate that the glycolysis likely follows a mechanism in which the base coordinates to the Lewis acid, acting as a single catalytic entity, and in which the acetate ligand assists with proton transfer.
Original languageEnglish
JournalCatalysis Science & Technology
Early online date15 Apr 2026
DOIs
Publication statusE-pub ahead of print - 15 Apr 2026

Data Availability Statement

The datasets supporting this article have been uploaded as part of the supplementary information (SI).

Supplementary information: detailed experimental procedures and additional characterisation data; DFT calculation details, data and associated digital repository. See DOI: https://doi.org/10.1039/d5cy01499a.

Funding

This work was supported by a University of Birmingham, Global Challenges PhD Scholarship (MJP), EPSRC (grant number: EP/X039234/1; EP/X039129/1 and EP/X039129/2, to support A. Brandolese, YW and ABH) and the Royal Society (UF/160021 and URF\R\221027 fellowship to A. Buchard). The authors gratefully acknowledge the University of Bath's Research Computing Group (https://doi.org/10.15125/b6cd-s854) for their support in this work. The Viking cluster was used during this project, which is a high performance compute facility provided by the University of York. We are grateful for computational support from the University of York, IT Services and the Research IT team.

ASJC Scopus subject areas

  • Catalysis

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