Evidence map›Paper›PMID 42660931›Full record

ArticleNature communications2026

Recoverable macroporous polyanion bead catalysts for scalable continuous chemical depolymerization of polyethylene terephthalate.

Yongsu Kim, Youngwon Lee, Ji Hee Yun, Noh-Moon Lee, Bonjae Koo, Jonggeol Na, Hyeong Jun Kim

Abstract read
In one paragraph

Article in Nature communications, 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

7 authors.

Yongsu Kim *Department of Chemical and Biomolecular Engineering, Sogang University, Seoul, Republic of Korea.
Youngwon Lee *Department of Chemical Engineering and Materials Science, Ewha Womans University, Seoul, Republic of Korea.ORCID http://orcid.org/0009-0005-3680-6668
Ji Hee YunDepartment of Chemical and Biomolecular Engineering, Sogang University, Seoul, Republic of Korea.
Noh-Moon LeeSchool of Chemistry and Energy, Sungshin Women's University, Seoul, Republic of Korea.
Bonjae KooSchool of Chemistry and Energy, Sungshin Women's University, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0003-1445-8795
Jonggeol NaDepartment of Chemical Engineering and Materials Science, Ewha Womans University, Seoul, Republic of Korea. jgna@ewha.ac.kr.ORCID http://orcid.org/0000-0002-1106-9500
Hyeong Jun KimDepartment of Chemical and Biomolecular Engineering, Sogang University, Seoul, Republic of Korea. hjunkim@sogang.ac.kr.ORCID http://orcid.org/0000-0003-1742-1349

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The glycolysis of polyethylene terephthalate (PET) offers a promising closed-loop recycling method, converting PET waste into a single monomer bis(hydroxyethyl) terephthalate (BHET). However, traditional metal-based catalysts leave hazardous residues, while alternatives are costly and energy-intensive to recover, limiting the economic feasibility of glycolysis. Herein, we present polyanion-based macroporous bead catalysts that enable efficient PET depolymerization, easy separation, and excellent reusability. These macroporous bead catalysts can be recovered through simple filtration and reused over 30 times, maintaining a BHET yield of 90.7 ± 2.7%, and further enable continuous PET depolymerization in a continuous stirred-tank reactor (CSTR) operation with a 79.7 ± 2.6% conversion rate for over 4 h. A techno-economic analysis (TEA) and life-cycle assessment (LCA) of the proposed process estimate a minimum selling price of $1.02/kg BHET, making it economically competitive with virgin BHET, along with a global warming impact of 1.90 kg CO

Identifiers

PMID42660931
PMCPMC13522455

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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.