Air-Oxidizing, Solvent-Free Depolymerization of Plastic Waste to Produce Valuable Chemicals

Abstract Polyethylene terephthalate (PET) plastic waste is highly resistant to natural degradation, and conventional chemical recycling routes typically rely on acidic, basic or hydrogen-assisted processes under harsh conditions. Here, we present a solvent-free, oxidative depolymerization strategy that converts PET plastic waste into a valuable monomer using an atomically dispersed Fe catalyst within a zeolite framework. Consequently, high-purity terephthalic acid (TPA) can be obtained with a yield of 90.7% at 260 °C under atmospheric oxygen. This conversion can also be driven using the air or solar heat. We reveal that this high efficiency is due to the reversible Fe(II)/Fe(III) redox cycle sites modulating the local oxygen environment and activating molecular oxygen to generate reactive oxygen species (ROSs). These ROSs efficiently cleave the PET ester bonds, and the reaction is sustained by hydrogen atoms derived from the polymer backbone. Meanwhile, the synergistic acid sites of the ZSM-5 framework promote substrate protonation and lower the activation energy barrier for C–O scission. This strategy could reduce net carbon emissions by 73.1% compared to conventional TPA production.

Authors

Institutions

Publication Details

Journal
ACS Catalysis
Published
2026-08-10
DOI
https://doi.org/10.1021/acscatal.6c05057
Primary Topic
Microplastics and Plastic Pollution
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Air-Oxidizing, Solvent-Free Depolymerization of Plastic Waste to Produce Valuable Chemicals

Wanbing Gong, Ran Long, Yujie Xiong, Guangyu Chen et al.
ACS Catalysis
Microplastics and Plastic Pollution
article

Air-Oxidizing, Solvent-Free Depolymerization of Plastic Waste to Produce Valuable Chemicals

Wanbing Gong, Ran Long, Yujie Xiong, Guangyu Chen, Zilong Li, Jieying Lin, Xiaomin Ji
article en

Abstract

Abstract Polyethylene terephthalate (PET) plastic waste is highly resistant to natural degradation, and conventional chemical recycling routes typically rely on acidic, basic or hydrogen-assisted processes under harsh conditions. Here, we present a solvent-free, oxidative depolymerization strategy that converts PET plastic waste into a valuable monomer using an atomically dispersed Fe catalyst within a zeolite framework. Consequently, high-purity terephthalic acid (TPA) can be obtained with a yield of 90.7% at 260 °C under atmospheric oxygen. This conversion can also be driven using the air or solar heat. We reveal that this high efficiency is due to the reversible Fe(II)/Fe(III) redox cycle sites modulating the local oxygen environment and activating molecular oxygen to generate reactive oxygen species (ROSs). These ROSs efficiently cleave the PET ester bonds, and the reaction is sustained by hydrogen atoms derived from the polymer backbone. Meanwhile, the synergistic acid sites of the ZSM-5 framework promote substrate protonation and lower the activation energy barrier for C–O scission. This strategy could reduce net carbon emissions by 73.1% compared to conventional TPA production.

ACS Catalysis
University of Science and Technology of China (CN), Anhui Normal University (CN)
National Natural Science Foundation of China, Youth Innovation Promotion Association of the Chinese Academy of Sciences, Natural Science Foundation of Anhui Province, National Key Research and Development Program of China, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 19%
Microplastics and Plastic Pollution
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.