Evidence map›Paper›PMID 41290672›Full record

ArticleNature communications2025

Light bulb-inspired high-temperature catalytic depolymerization of polyolefin plastic with high monomer selectivity.

Shijie Yu, Peijie Han, Haoyue Li, Sikai Wang, Junyang Xuan, Ning Yan

Abstract read
In one paragraph

Article in Nature communications, 2025. 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
  2. Review
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

6 authors.

Shijie Yu *Department of Chemical and Biomolecular Engineering, National University of Singapore, Singapore, Singapore.ORCID http://orcid.org/0000-0002-5485-586X
Peijie Han *Department of Chemical and Biomolecular Engineering, National University of Singapore, Singapore, Singapore.ORCID http://orcid.org/0000-0003-4828-7998
Haoyue LiDepartment of Chemical and Biomolecular Engineering, National University of Singapore, Singapore, Singapore.
Sikai WangDepartment of Chemical and Biomolecular Engineering, National University of Singapore, Singapore, Singapore.ORCID http://orcid.org/0009-0004-6761-2236
Junyang XuanDepartment of Chemical and Biomolecular Engineering, National University of Singapore, Singapore, Singapore.
Ning YanDepartment of Chemical and Biomolecular Engineering, National University of Singapore, Singapore, Singapore. ning.yan@nus.edu.sg.ORCID http://orcid.org/0000-0002-1877-9206

Funding

National Research Foundation Singapore (National Research Foundation-Prime Minister's office, Republic of Singapore) NRFI07-2021-0015
6 · The paper itself

Abstract

The accumulation of plastic waste poses a severe environmental issue, and efficient depolymerization of plastic is essential toward sustainable waste management and circularity. However, depolymerizing polyolefin plastic into monomer with high selectivity remains a challenge. Herein, inspired by the incandescent light bulb, we demonstrate a catalytic depolymerization strategy utilizing high-temperature transition metal filaments to convert polyolefin plastic to olefin monomer, with monomer selectivity reaching up to 65%. The electrified transition metal filaments, serving as localized heat sources, can reach a high temperature of up to 2300 °C, significantly promoting the generation of gaseous products. The reaction region with sharp temperature gradient restrains secondary transformations of monomer. Monomer selectivity is tunable by varying different high-melting-point metallic elements, and can be extended to bulk commodity alloy, such as stainless steel.

Identifiers

PMID41290672
PMCPMC12647896

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.