Evidence map›Paper›PMID 41658137›Full record

ArticleACS omega2026

Optimizing SSMMP-Based Fillers with -NH

Henrique Z Ferrari, Christophe Le Roux, Franciele L Bernard, Guilherme Dias, Leonardo Dos Santos, Pierre Micoud, Stéphane Mazières, François Martin, Sandra Einloft

Abstract read
In one paragraph

Article in ACS omega, 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

9 authors.

Henrique Z FerrariPost-Graduation Program in Materials Engineering and Technology, Pontifical Catholic University of Rio Grande Do Sul, Porto Alegre, Rio Grande Do Sul 90619-900, Brazil.ORCID https://orcid.org/0000-0002-0920-6043
Christophe Le RouxGET/OMP Laboratory (CNRS, UT3PS, IRD, CNES), Université de Toulouse, ERT Géomatériaux, Toulouse 31400, France.
Franciele L BernardPost-Graduation Program in Materials Engineering and Technology, Pontifical Catholic University of Rio Grande Do Sul, Porto Alegre, Rio Grande Do Sul 90619-900, Brazil.ORCID https://orcid.org/0000-0001-7323-8560
Guilherme DiasPost-Graduation Program in Materials Engineering and Technology, Pontifical Catholic University of Rio Grande Do Sul, Porto Alegre, Rio Grande Do Sul 90619-900, Brazil.
Leonardo Dos SantosSchool of Technology, Pontifical Catholic University of Rio Grande Do Sul (PUCRS), Porto Alegre, Rio Grande Do Sul 90619-900, Brazil.
Pierre MicoudGET/OMP Laboratory (CNRS, UT3PS, IRD, CNES), Université de Toulouse, ERT Géomatériaux, Toulouse 31400, France.
Stéphane MazièresSOFTMAT Laboratory, CNRS UMR 5623, University of Toulouse, Toulouse Cedex 9 31062, France.
François MartinGET/OMP Laboratory (CNRS, UT3PS, IRD, CNES), Université de Toulouse, ERT Géomatériaux, Toulouse 31400, France.
Sandra EinloftPost-Graduation Program in Materials Engineering and Technology, Pontifical Catholic University of Rio Grande Do Sul, Porto Alegre, Rio Grande Do Sul 90619-900, Brazil.ORCID https://orcid.org/0000-0003-1364-0325

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gas separation employing polymeric membranes is limited by the permeability-selectivity trade-off, which has driven the development, among numerous technologies, of mixed matrix membranes (MMMs) that combine highly permeable polymers with fillers capable of enhancing gas selectivity. The compatibility in the filler/polymer interface is therefore essential to design materials with superior separation performances. In this work, MMMs were produced with Pebax-2533, incorporating synthetic silico-metallic mineral particles (SSMMPs) and SSMMP-NH

Identifiers

PMID41658137
PMCPMC12878510

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Registered trials

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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.