Evidence map›Paper›PMID 33804763›Full record

ArticlePolymers2021

Exploring the Structure-Performance Relationship of Sulfonated Polysulfone Proton Exchange Membrane by a Combined Computational and Experimental Approach.

Cataldo Simari, Mario Prejanò, Ernestino Lufrano, Emilia Sicilia, Isabella Nicotera

Abstract read
In one paragraph

Article in Polymers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

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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

5 authors.

Cataldo SimariDepartment of Chemistry and Chemical Technologies-CTC, University of Calabria, Via Pietro Bucci, 87036 Rende, Italy.ORCID 0000-0002-6154-5456
Mario PrejanòDepartment of Chemistry and Chemical Technologies-CTC, University of Calabria, Via Pietro Bucci, 87036 Rende, Italy.
Ernestino LufranoDepartment of Chemistry and Chemical Technologies-CTC, University of Calabria, Via Pietro Bucci, 87036 Rende, Italy.
Emilia SiciliaDepartment of Chemistry and Chemical Technologies-CTC, University of Calabria, Via Pietro Bucci, 87036 Rende, Italy.ORCID 0000-0001-5952-9927
Isabella NicoteraDepartment of Chemistry and Chemical Technologies-CTC, University of Calabria, Via Pietro Bucci, 87036 Rende, Italy.ORCID 0000-0002-4411-0573

Funding

ISCRA HP10CJ9469Ministero dell'Istruzione, dell'Università e della Ricerca PNR 2015-2020
6 · The paper itself

Abstract

Sulfonated Polysulfone (sPSU) is emerging as a concrete alternative to Nafion ionomer for the development of proton exchange electrolytic membranes for low cost, environmentally friendly and high-performance PEM fuel cells. This ionomer has recently gained great consideration since it can effectively combine large availability on the market, excellent film-forming ability and remarkable thermo-mechanical resistance with interesting proton conductive properties. Despite the great potential, however, the morphological architecture of hydrated sPSU is still unknown. In this study, computational and experimental advanced tools are combined to preliminary describe the relationship between the microstructure of highly sulfonated sPSU (DS = 80%) and its physico-chemical, mechanical and electrochemical features. Computer simulations allowed for describing the architecture and to estimate the structural parameters of the sPSU membrane. Molecular dynamics revealed an interconnected lamellar-like structure for hydrated sPSU, with ionic clusters of about 14-18 Å in diameter corresponding to the hydrophilic sulfonic-acid-containing phase. Water dynamics were investigated by

Indexed as

DFTMDPEMFCPFG-NMRsulfonated polysulfonewater dynamics

Identifiers

PMID33804763
PMCPMC8003876

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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.