Advanced H-Beta Zeolite Catalysis for Selective Benzene Production from Sulfur-Containing PPS Plastic Waste

Efficient recycling of sulfur-containing plastics into valuable aromatic hydrocarbons is crucial for sustainable waste management. Herein, an in situ catalytic hydro-pyrolysis strategy using cost-effective H-beta zeolite is developed to selectively convert polyphenylene sulfide (PPS) waste into benzene. Under optimal reaction conditions (600 °C, 0.3 MPa H2, and catalyst-to-feed ratio = 0.7), PPS conversion reached 73%, with benzene selectivity exceeding 99.8% and complete sulfur removal. Mechanistic analyses revealed a stepwise hydrodesulfurization pathway in which sulfur-containing intermediates are progressively hydrogenated and eliminated as H2S. Density functional theory (DFT) calculations further demonstrate that efficient desulfurization arises from selective C–S bond cleavage, driven by strong electrostatic and frontier orbital interactions between sulfur species and the Brønsted acid sites of H-beta. This integrated experimental–theoretical study establishes a sustainable and economically attractive route for the clean valorization of sulfur-rich plastic wastes into high-purity aromatics.

Authors

Institutions

Publication Details

Journal
ACS Sustainable Chemistry & Engineering
Published
2026-01-16
DOI
https://doi.org/10.1021/acssuschemeng.5c11721
Primary Topic
Catalysis and Hydrodesulfurization Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Advanced H-Beta Zeolite Catalysis for Selective Benzene Production from Sulfur-Containing PPS Plastic Waste

Dongxian Li, Xiaocao Shan, Xianzhi Meng, Shule Wang et al.
ACS Sustainable Chemistry & Engineering
Catalysis and Hydrodesulfurization Studies
article

Advanced H-Beta Zeolite Catalysis for Selective Benzene Production from Sulfur-Containing PPS Plastic Waste

Dongxian Li, Xiaocao Shan, Xianzhi Meng, Shule Wang, Jianchun Jiang, Wanting Wang, Ju Xie, Jia Wang
article en

Abstract

Efficient recycling of sulfur-containing plastics into valuable aromatic hydrocarbons is crucial for sustainable waste management. Herein, an in situ catalytic hydro-pyrolysis strategy using cost-effective H-beta zeolite is developed to selectively convert polyphenylene sulfide (PPS) waste into benzene. Under optimal reaction conditions (600 °C, 0.3 MPa H2, and catalyst-to-feed ratio = 0.7), PPS conversion reached 73%, with benzene selectivity exceeding 99.8% and complete sulfur removal. Mechanistic analyses revealed a stepwise hydrodesulfurization pathway in which sulfur-containing intermediates are progressively hydrogenated and eliminated as H2S. Density functional theory (DFT) calculations further demonstrate that efficient desulfurization arises from selective C–S bond cleavage, driven by strong electrostatic and frontier orbital interactions between sulfur species and the Brønsted acid sites of H-beta. This integrated experimental–theoretical study establishes a sustainable and economically attractive route for the clean valorization of sulfur-rich plastic wastes into high-purity aromatics.

ACS Sustainable Chemistry & EngineeringVol. 14(4)
Huaqiao University (CN), Institut National de la Recherche Agronomique (MA), Nanjing Forestry University (CN), Institute of Chemical Industry of Forest Products (CN), Shanghai Advanced Research Institute (CN), Chinese Academy of Forestry (CN), Université de Picardie Jules Verne (FR), University of Tennessee at Knoxville (US), Yangzhou University (CN)
Openalex Percentile: Top 86%
Catalysis and Hydrodesulfurization Studies
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.