Hierarchical ZSM‐5 Catalysts With Engineered Surface Acid Sites for Selective and Efficient Upgradation of Waste Polyolefins

The accumulation of plastic waste poses severe environmental challenges, driving the need for efficient catalytic recycling technologies to enable a circular economy. High-density polyethylene (HDPE) is particularly challenging to catalytically upgrade due to its high crystallinity and the limited accessibility of its polymer chains. While zeolite catalysts offer shape selectivity advantages for product control, their practical application in polyolefin conversion has been constrained by low catalytic activity. Herein, we engineered a hierarchical ZSM-5 zeolite with a substantially enhanced external surface area and multilevel porosity to reduce mass-transfer limitations and improve catalytic efficiency. Pyridine and 2,6-di-tert-butylpyridine Fourier transform infrared spectroscopy studies confirmed that the synthesized ZSM-5 possesses significantly more external and macromolecule-accessible acid sites compared to commercial counterparts. The optimized ZSM-5 with a Si/Al ratio of 100 achieved an 86.8% HDPE conversion at a mild temperature of 250°C, exhibiting high selectivity toward C<sub>4</sub>-C<sub>12</sub> unsaturated hydrocarbons. The mass-based activity was 1.5 times higher than that of the best-reported pure zeolite catalyst for polyethylene cracking. By engineering the external surface acidity and molecular transport pathways of zeolite catalysts, this work paves the way for efficient chemical valorization of waste polyolefins, demonstrating the power of rational catalyst design.

Authors

Institutions

Publication Details

Journal
ChemSusChem
Published
2026-03-03
DOI
https://doi.org/10.1002/cssc.202502489
Primary Topic
Polymer crystallization and properties
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Hierarchical ZSM‐5 Catalysts With Engineered Surface Acid Sites for Selective and Efficient Upgradation of Waste Polyolefins

Zhengjian Li, Rao Huang, Jing Dai, Shuying Tian et al.
ChemSusChem
Polymer crystallization and properties
article

Hierarchical ZSM‐5 Catalysts With Engineered Surface Acid Sites for Selective and Efficient Upgradation of Waste Polyolefins

Zhengjian Li, Rao Huang, Jing Dai, Shuying Tian, Qingyuan Wu, Guangxu Chen, Shumin Liu, Kang Cheng, Mingzhi Wang
article en

Abstract

The accumulation of plastic waste poses severe environmental challenges, driving the need for efficient catalytic recycling technologies to enable a circular economy. High-density polyethylene (HDPE) is particularly challenging to catalytically upgrade due to its high crystallinity and the limited accessibility of its polymer chains. While zeolite catalysts offer shape selectivity advantages for product control, their practical application in polyolefin conversion has been constrained by low catalytic activity. Herein, we engineered a hierarchical ZSM-5 zeolite with a substantially enhanced external surface area and multilevel porosity to reduce mass-transfer limitations and improve catalytic efficiency. Pyridine and 2,6-di-tert-butylpyridine Fourier transform infrared spectroscopy studies confirmed that the synthesized ZSM-5 possesses significantly more external and macromolecule-accessible acid sites compared to commercial counterparts. The optimized ZSM-5 with a Si/Al ratio of 100 achieved an 86.8% HDPE conversion at a mild temperature of 250°C, exhibiting high selectivity toward C<sub>4</sub>-C<sub>12</sub> unsaturated hydrocarbons. The mass-based activity was 1.5 times higher than that of the best-reported pure zeolite catalyst for polyethylene cracking. By engineering the external surface acidity and molecular transport pathways of zeolite catalysts, this work paves the way for efficient chemical valorization of waste polyolefins, demonstrating the power of rational catalyst design.

ChemSusChemVol. 19(5)
Central Pollution Control Board (IN), Xiamen University (CN)
Openalex Percentile: Top 38%
Polymer crystallization and properties
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.