Evidence map›Paper›PMID 42519665›Full record

ArticleThe journal of physical chemistry. C, Nanomaterials and interfaces2026

Filler-Dominated Polymer Nanocomposites: Molecular Transport in Extended Nanocavities.

E D'Amato, M Scarpa, R S Brusa, P Battocchio, A Wagner, M O Liedke, E Hirschmann, P Mengucci, A Korn, R Checchetto

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In one paragraph

Article in The journal of physical chemistry. C, Nanomaterials and interfaces, 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

10 authors.

E D'AmatoDepartment of Physics, University of Trento, Via Sommarive 14, Povo Trento 38123, Italy.
M ScarpaDepartment of Physics, University of Trento, Via Sommarive 14, Povo Trento 38123, Italy.ORCID https://orcid.org/0000-0001-8365-2706
R S BrusaDepartment of Physics, University of Trento, Via Sommarive 14, Povo Trento 38123, Italy.
P BattocchioDepartment of Physics, University of Trento, Via Sommarive 14, Povo Trento 38123, Italy.ORCID https://orcid.org/0000-0002-1807-5823
A WagnerHelmholz-Zentrum Dresden-Rossendorf, Institute of Radiation Physics,Dresden,Germany, Bautzner Landstr. 400, Dresden 01328, Germany.
M O LiedkeHelmholz-Zentrum Dresden-Rossendorf, Institute of Radiation Physics,Dresden,Germany, Bautzner Landstr. 400, Dresden 01328, Germany.ORCID https://orcid.org/0000-0001-7933-7295
E HirschmannHelmholz-Zentrum Dresden-Rossendorf, Institute of Radiation Physics,Dresden,Germany, Bautzner Landstr. 400, Dresden 01328, Germany.
P MengucciDept. SIMAU, Faculty of Engineering, Universit̀a Politecnica Delle Marche (UNIVPM), Via Brecce Bianche 12, Ancona 60132, Italy.ORCID https://orcid.org/0000-0001-9049-8524
A KornDepartment of Physics, Chemnitz University of Technology, Reichenhainer Str. 70, Chemnitz 09126, Germany.
R ChecchettoDepartment of Physics, University of Trento, Via Sommarive 14, Povo Trento 38123, Italy.ORCID https://orcid.org/0000-0001-6811-5902

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A deeper understanding of the molecular transport mechanisms in filler-dominated nanocomposites is a necessary step toward the development of innovative molecular separation membranes. Nanocomposite membranes were prepared with gas-impermeable Cellulose Nanocrystals (CNCs) at ∼80 wt % content and polyethylene glycol (PEG). Molecular transport takes place according to a configurational diffusion mechanism through extended nanocavities having a cross-sectional size of ∼0.52 nm between packed CNCs. The CO

Identifiers

PMID42519665
PMCPMC13384021

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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.