Evidence map›Paper›PMID 41696586›Full record

ArticleChemical science2026

Bead mill-driven acceleration in catalytic methanolysis reaction of poly(ethylene terephthalate) toward low-energy chemical recycling of polymers.

Tomoya Kawase, Haruro Ishitani, Shū Kobayashi

Abstract read
In one paragraph

Article in Chemical science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Tomoya KawaseDepartment of Chemistry, School of Science, The University of Tokyo 7-3-1 Hongo, Binkyo-ku Tokyo 113-0033 Japan.
Haruro IshitaniGreen & Sustainable Chemistry Social Cooperation Laboratory, Graduate School of Science, The University of Tokyo 7-3-1 Hongo, Bunkyo-ku Tokyo 113-0033 Japan hishitani@chem.s.u-tokyo.ac.jp shu_kobayashi@chem.s.u-tokyo.ac.jp.ORCID https://orcid.org/0009-0004-7155-0947
Shū KobayashiDepartment of Chemistry, School of Science, The University of Tokyo 7-3-1 Hongo, Binkyo-ku Tokyo 113-0033 Japan.ORCID https://orcid.org/0000-0002-8235-4368

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chemical recycling of poly(ethylene terephthalate) (PET) is crucial for sustainable resource circulation. However, conventional high-temperature PET depolymerization methods suffer from high energy consumption and efficiency limitations. Here, we demonstrate that a bead milling pretreatment significantly accelerates the methanolysis at temperatures below 90 °C. The effectiveness of this pretreatment is highly dependent on the choice of bead material and solvent, as these factors influence polymer chain scission and molecular weight reduction. Gel permeation chromatography (GPC) analysis revealed that bead milling breaks down PET into lower molecular weight species, and the extent of this reduction is controllable by the solvent's affinity for PET. We also developed a one-pot process that integrates continuous bead milling and methanolysis, achieving PET depolymerization without the need for external heating. We successfully utilized this DMT for the continuous synthesis of pharmaceuticals, highlighting the potential for upcycling commodity polymers. This efficient, low-temperature depolymerization of PET significantly reduces energy consumption compared to conventional high-temperature processes, paving the way for a more environmentally friendly recycling method. This study represents a significant step towards a sustainable society in an era of increasing resource constraints and environmental concerns.

Identifiers

PMID41696586
PMCPMC12895252

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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.