Evidence map›Paper›PMID 41516865›Full record

ArticlePolymers2025

Hydrothermal Pretreatment Plus Supercritical CO

M Belén García-Jarana, Ramón Terroba, José M Vázquez-Fernández, Diego Valor, Clara Pereyra, Juan R Portela

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. 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

6 authors.

M Belén García-JaranaDepartment of Chemical Engineering and Food Technology, Faculty of Sciences, Wine and Agrifood Research Institute (IVAGRO), University of Cadiz, 11510 Cadiz, Spain.ORCID 0000-0001-8449-3831
Ramón TerrobaDepartment of Chemical Engineering and Food Technology, Faculty of Sciences, Wine and Agrifood Research Institute (IVAGRO), University of Cadiz, 11510 Cadiz, Spain.
José M Vázquez-FernándezDepartment of Chemical Engineering and Food Technology, Faculty of Sciences, Wine and Agrifood Research Institute (IVAGRO), University of Cadiz, 11510 Cadiz, Spain.ORCID 0009-0007-3423-164X
Diego ValorDepartment of Chemical Engineering and Food Technology, Faculty of Sciences, Wine and Agrifood Research Institute (IVAGRO), University of Cadiz, 11510 Cadiz, Spain.ORCID 0000-0002-6570-2818
Clara PereyraDepartment of Chemical Engineering and Food Technology, Faculty of Sciences, Wine and Agrifood Research Institute (IVAGRO), University of Cadiz, 11510 Cadiz, Spain.ORCID 0000-0003-1949-2773
Juan R PortelaDepartment of Chemical Engineering and Food Technology, Faculty of Sciences, Wine and Agrifood Research Institute (IVAGRO), University of Cadiz, 11510 Cadiz, Spain.ORCID 0000-0001-6361-6492

Funding

Spanish Ministry of Science and Innovation FEDER-UCA-2024-B2-05Spanish Ministry of Science and Innovation PID2020-116229RB-I00
6 · The paper itself

Abstract

Degradable polymers are essential in tissue engineering due to their capacity to mimic the extracellular matrix and promote regeneration. To be functional, they require interconnected porous structures that allow for nutrient exchange and cell migration. Although methods exist to optimize porosity, many compromise biocompatibility because pore-forming substances are used. In this context, hydrothermal pretreatment emerges as a promising technique to simultaneously improve both the porosity and mechanical properties of polymers without using potentially toxic reagents. This study proposes a novel route that combines hydrothermal pretreatment with supercritical CO

Indexed as

CO2foaminghydrothermalpolymerspretreatmentscaffolds

Identifiers

PMID41516865
PMCPMC12787368

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.