Evidence map›Paper›PMID 36015643›Full record

ArticlePolymers2022

Insights into the Influence of Different Pre-Treatments on Physicochemical Properties of Nafion XL Membrane and Fuel Cell Performance.

Asmaa Selim, Gábor Pál Szijjártó, András Tompos

Open access · goldAbstract read
In one paragraph

Article in Polymers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.0field-weighted citation impact, top 13% of its field
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

9 citing papers in PubMed, 23 citations in OpenAlex.

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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

3 authors at 1 institution in 2 countries.

Asmaa SelimInstitute of Materials and Environmental Chemistry, Excellence Centre of the Hungarian Academy of Sciences, Research Centre for Natural Sciences, Magyar Tudósok Körútja 2, 1117 Budapest, Hungary.ORCID 0000-0001-9012-0038
Gábor Pál SzijjártóInstitute of Materials and Environmental Chemistry, Excellence Centre of the Hungarian Academy of Sciences, Research Centre for Natural Sciences, Magyar Tudósok Körútja 2, 1117 Budapest, Hungary.
András TomposInstitute of Materials and Environmental Chemistry, Excellence Centre of the Hungarian Academy of Sciences, Research Centre for Natural Sciences, Magyar Tudósok Körútja 2, 1117 Budapest, Hungary.ORCID 0000-0003-3443-9954
Institute of Materials and Environmental Chemistry · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Perfluorosulfonic acid (PFSA) polymers such as Nafion are the most frequently used Proton Exchange Membrane (PEM) in PEM fuel cells. Nafion XL is one of the most recently developed membranes designed to enhance performance by employing a mechanically reinforced layer in the architecture and a chemical stabilizer. The influence of the water and acid pre-treatment process on the physicochemical properties of Nafion XL membrane and Membrane Electrode Assembly (MEA) was investigated. The obtained results indicate that the pre-treated membranes have higher water uptake and dimensional swelling ratios, i.e., higher hydrophilicity, while the untreated membrane demonstrated a higher ionic exchange capacity. Furthermore, the conductivity of the acid pre-treated Nafion XL membrane was ~ 9.7% higher compared to the untreated membrane. Additionally, the maximum power densities obtained at 80 °C using acid pre-treatment were ~ 0.8 and 0.93 W/cm

Indexed as

chemical-physical propertieschemical treatmentdimensional swellingfuel cellhydration degreeNafion XLperfluorosulfonic acid/PFSAproton exchange membraneswater uptake

Identifiers

PMID36015643
PMCPMC9414504
OpenAlexW4293014384

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.