Evidence map›Paper›PMID 40871193›Full record

ArticlePolymers2025

Polyethylene Terephthalate Glycolysis: Kinetic Modeling and Validation.

Maja Gabrič, Žan Lavrič, Martin Schwiderski, Laureline Marc, Erik Temmel, Miha Grilc, Blaž Likozar

Abstract read
In one paragraph

Article in Polymers, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
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.

Maja GabričDepartment for Catalysis and Chemical Reaction Engineering, National Institute of Chemistry, Hajdrihova 19, SI-1000 Ljubljana, Slovenia.ORCID 0000-0001-7079-0325
Žan LavričDepartment for Catalysis and Chemical Reaction Engineering, National Institute of Chemistry, Hajdrihova 19, SI-1000 Ljubljana, Slovenia.ORCID 0000-0002-5403-0948
Martin SchwiderskiSulzer Chemtech Ltd., Neuwiesenstrasse 15, 8401 Winterthur, Switzerland.
Laureline MarcSulzer Chemtech Ltd., Neuwiesenstrasse 15, 8401 Winterthur, Switzerland.
Erik TemmelSulzer Chemtech Ltd., Neuwiesenstrasse 15, 8401 Winterthur, Switzerland.
Miha GrilcDepartment for Catalysis and Chemical Reaction Engineering, National Institute of Chemistry, Hajdrihova 19, SI-1000 Ljubljana, Slovenia.ORCID 0000-0002-8255-647X
Blaž LikozarDepartment for Catalysis and Chemical Reaction Engineering, National Institute of Chemistry, Hajdrihova 19, SI-1000 Ljubljana, Slovenia.ORCID 0000-0001-7226-4302

Funding

Slovenian Research and Innovation Agency I0-0003Slovenian Research and Innovation Agency J1-3020Slovenian Research and Innovation Agency N2-0242Slovenian Research and Innovation Agency P2-0152
6 · The paper itself

Abstract

In this study, a comprehensive investigation of PET glycolysis has been performed. The research included the development of analytical techniques, experiments with different reactor systems, and the development of mathematical models to understand the kinetics of the process. Quantitative HPLC analysis was adopted and optimized for the detection of BHET, while the size-exclusion chromatography method was developed to determine the molecular weight distribution of solid PET residues. Over 33 experiments were performed with magnetically coupled shaft-stirred Amar reactors, resulting in more than 300 experimentally determined BHET concentration points at various reaction times, temperatures, catalyst concentrations, and ethylene glycol-to-PET ratios. Afterwards, a kinetic model was developed to describe the observed phenomena with a validation step.

Indexed as

glycolysishomogeneous catalysiskinetic modelingPET depolymerization

Identifiers

PMID40871193
PMCPMC12389461

What OpenQuestion holds

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Registered trials

None linked

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.