Evidence map›Paper›PMID 38611244›Full record

ArticlePolymers2024

Evaluation of Various Types of Alginate Inks for Light-Mediated Extrusion 3D Printing.

Aitana Zoco de la Fuente, Ane García-García, Leyre Pérez-Álvarez, Isabel Moreno-Benítez, Asier Larrea-Sebal, Cesar Martin, Jose Luis Vilas-Vilela

Abstract read
In one paragraph

Article in Polymers, 2024. 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. 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.

Aitana Zoco de la FuenteMacromolecular Chemistry Group (LABQUIMAC), Physical Chemistry Department, Faculty of Science and Technology, University of the Basque Country UPV/EHU, 48940 Leioa, Spain.ORCID 0009-0008-8654-9331
Ane García-GarcíaMacromolecular Chemistry Group (LABQUIMAC), Physical Chemistry Department, Faculty of Science and Technology, University of the Basque Country UPV/EHU, 48940 Leioa, Spain.ORCID 0009-0008-5685-380X
Leyre Pérez-ÁlvarezMacromolecular Chemistry Group (LABQUIMAC), Physical Chemistry Department, Faculty of Science and Technology, University of the Basque Country UPV/EHU, 48940 Leioa, Spain.ORCID 0000-0003-0543-4134
Isabel Moreno-BenítezMacromolecular Chemistry Group (LABQUIMAC), Organic Chemistry Department, Faculty of Science and Technology, University of the Basque CountryUPV/EHU, 48940 Leioa, Spain.
Asier Larrea-SebalBiofisika Institute (UPV/EHU, CSIC), UPV/EHU Science Park, 48940 Leioa, Spain.
Cesar MartinBiofisika Institute (UPV/EHU, CSIC), UPV/EHU Science Park, 48940 Leioa, Spain.ORCID 0000-0002-4087-8729
Jose Luis Vilas-VilelaMacromolecular Chemistry Group (LABQUIMAC), Physical Chemistry Department, Faculty of Science and Technology, University of the Basque Country UPV/EHU, 48940 Leioa, Spain.

Funding

Basque Government ELKARTEK KK-2023/00056Basque Government Grupos Consolidados (IT1756-22)Ministerio de Ciencia e Innovación PID2022-136788OB-I00Ministerio de Ciencia e Innovación PID2022-138572OB-C42
6 · The paper itself

Abstract

Naturally derived biopolymers modifying or combining with other components are excellent candidates to promote the full potential of additive manufacturing in biomedicine, cosmetics, and the food industry. This work aims to develop new photo-cross-linkable alginate-based inks for extrusion 3D printing. Specifically, this work is focused on the effect of the addition of cross-linkers with different chemical structures (polyethylene glycol diacrylate (PEGDA),

Indexed as

extrusion printingmethacrylated alginatephoto-cross-linking

Identifiers

PMID38611244
PMCPMC11014002

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.