Evidence map›Paper›PMID 39712929›Full record

ArticleIndustrial & engineering chemistry research2024

Molecular Dynamics Simulation of Zeolite-Assisted Pyrolysis of Polystyrene: Material Selection and Mechanistic Insights.

Shuangxiu Max Ma, Changlong Zou, Bhavik R Bakshi, Li-Chiang Lin

Abstract read
In one paragraph

Article in Industrial & engineering chemistry research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Shuangxiu Max MaWilliam G. Lowrie Department of Chemical and Biomolecular Engineering, The Ohio State University, Columbus, Ohio 43210, United States.
Changlong ZouWilliam G. Lowrie Department of Chemical and Biomolecular Engineering, The Ohio State University, Columbus, Ohio 43210, United States.ORCID https://orcid.org/0000-0002-1390-5859
Bhavik R BakshiSchool of Sustainability, Arizona State University, Tempe, Arizona 85281, United States.ORCID https://orcid.org/0000-0002-6604-8408
Li-Chiang LinWilliam G. Lowrie Department of Chemical and Biomolecular Engineering, The Ohio State University, Columbus, Ohio 43210, United States.ORCID https://orcid.org/0000-0002-2821-9501

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Polystyrene (PS) presents a significant environmental challenge due to its durability and resistance to degradation. A major issue in addressing this challenge is optimizing the pyrolysis process to selectively convert PS into valuable products, such as styrene, while minimizing unwanted byproducts. Existing studies on PS pyrolysis have primarily focused on general reaction yields and kinetics, with limited molecular-level insight into how zeolites can enhance product selectivity. This study addresses these gaps by investigating zeolite-assisted PS pyrolysis using a combination of reactive molecular dynamics (MD) simulations and Monte Carlo (MC) simulations. We specifically assess how zeolite structure and adsorption properties influence the pyrolysis product distribution, identifying optimal zeolites that enhance styrene yield. Our findings reveal that PS degradation occurs primarily through a chain-breaking mechanism without long-chain re-formation and that zeolites can significantly improve the selectivity and efficiency of the pyrolysis process by selectively adsorbing styrene. This work highlights the potential of zeolite-enhanced pyrolysis as a pathway for sustainable plastic recycling, advancing chemical recycling technologies to tackle plastic waste.

Identifiers

PMID39712929
PMCPMC11660221

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.