Evidence map›Paper›PMID 39771395›Full record

ArticlePolymers2024

Electrospun Carbon Nanofibers Derived from Polyvinyl Alcohol Embedded with Bimetallic Nickle-Chromium Nanoparticles for Sodium Borohydride Dehydrogenation.

Ayman Yousef, Ibrahim M Maafa, Ahmed Abutaleb, Saleh M Matar, Ahmed A Alamir, M M El-Halwany

Abstract read
In one paragraph

Article in Polymers, 2024. 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.

Ayman YousefDepartment of Chemical Engineering, College of Engineering and Computer Sciences, Jazan University, Jazan 11451, Saudi Arabia.ORCID 0000-0002-2372-5261
Ibrahim M MaafaDepartment of Chemical Engineering, College of Engineering and Computer Sciences, Jazan University, Jazan 11451, Saudi Arabia.ORCID 0000-0001-9200-8955
Ahmed AbutalebDepartment of Chemical Engineering, College of Engineering and Computer Sciences, Jazan University, Jazan 11451, Saudi Arabia.ORCID 0000-0001-9126-0083
Saleh M MatarDepartment of Chemical Engineering, College of Engineering and Computer Sciences, Jazan University, Jazan 11451, Saudi Arabia.ORCID 0000-0003-1390-9144
Ahmed A AlamirJazan Education Department, Jazan 45142, Saudi Arabia.ORCID 0009-0002-8531-0712
M M El-HalwanyDepartment of Mathematics and Physics Engineering, Faculty of Engineering, Mansoura University, El-Mansoura 35516, Egypt.

Funding

The authors gratefully acknowledge the funding of the Deanship of Graduate Studies and Scientific Research, Jazan University, Saudi Arabia, through project number: (RG40-M038). RG40-M038
6 · The paper itself

Abstract

Bimetallic NiCr nanoparticles decorated on carbon nanofibers (NiCr@CNFs) were synthesized through electrospinning and investigated as catalysts for hydrogen generation from the dehydrogenation of sodium borohydride (SBH). Four distinct compositions were prepared, with chromium content in the catalysts ranging from 5 to 25 weight percentage (wt%). Comprehensive characterization confirmed the successful formation of bimetallic NiCr@CNFs. Notably, among the compositions, the catalyst containing 20 wt% Cr exhibited the highest efficiency in SBH dehydrogenation. Kinetic studies revealed that hydrogen production followed a first-order reaction with respect to the catalyst quantity. Additionally, the reaction time decreased with increasing temperature. The activation energy (Ea), entropy change (ΔS), and enthalpy change (ΔH) were calculated as 34.27 kJ mol

Indexed as

bimetalliccarbon nanofiberelectrospinninghydrogennickel-chromium

Identifiers

PMID39771395
PMCPMC11677971

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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.