Evidence map›Paper›PMID 40595146›Full record

ArticleScientific reports2025

Eco conscious synthesis of poly(tetramethylene itaconate) emphasizing inhibitor free and solvent free sustainability.

Magdalena Miętus, Maria Marecka, Tomasz Gołofit, Agnieszka Gadomska-Gajadhur

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Revisiting applications of itaconic acid-based polymers obtained by (poly)condensation chemistry.Green chemistry : an international journal and green chemistry resource : GC · 2026
    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

4 authors.

Magdalena MiętusFaculty of Chemistry, Warsaw University of Technology, Noakowskiego 3 Street, Warsaw, 00-664, Poland.
Maria MareckaFaculty of Chemistry, Warsaw University of Technology, Noakowskiego 3 Street, Warsaw, 00-664, Poland.
Tomasz GołofitFaculty of Chemistry, Warsaw University of Technology, Noakowskiego 3 Street, Warsaw, 00-664, Poland.
Agnieszka Gadomska-GajadhurFaculty of Chemistry, Warsaw University of Technology, Noakowskiego 3 Street, Warsaw, 00-664, Poland. agnieszka.gajadhur@pw.edu.pl.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Artificial tissues and organs can be obtained through a modern material processing method - 3D printing. In this method, 3D printing inks are used. Those are most commonly made of polyacrylates which show several undesirable characteristics. Their monomers are petroleum-based compounds that exhibit toxicity, and the final 3D printing ink is often characterized by inadequate viscosity, which hinders printing. Here, we show the potential 3D printing ink synthesis - fully biobased poly(tetramethylene itaconate). It was synthesized from itaconic acid and 1,4-butanediol with the addition of different catalysts. The primary objective was to produce a green product suitable as a bio-ink for bioprinting without toxic additives. We have recognized the main reasons for the undesired reactions during the synthesis of poly(tetramethylene itaconate). Our results demonstrate how the selected catalyst's type and content, temperature, and reaction time play a significant role in finding the optimum synthesis conditions. We anticipate our essay as a starting point for more sophisticated research - polymer 3D printing and cellular research.

Indexed as

Box-Behnen planCatalystsPoly(tetramethylene itaconate)Statistical analysisTissue engineering

Identifiers

PMID40595146
PMCPMC12215760

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.