Evidence map›Paper›PMID 40064989›Full record

ArticleScientific reports2025

In-depth analysis of FeNi-based nanoparticles for the oxygen evolution reaction.

Heydar Habibimarkani, Sarah-Luise Abram, Ana Guilherme Buzanich, Carsten Prinz, Mario Sahre, Vasile-Dan Hodoroaba, Jörg Radnik

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

7 authors.

Heydar HabibimarkaniFederal Institute for Materials Research and Testing (BAM), Unter den Eichen 87, 12205, Berlin, Germany.
Sarah-Luise AbramFederal Institute for Materials Research and Testing (BAM), Unter den Eichen 87, 12205, Berlin, Germany.
Ana Guilherme BuzanichFederal Institute for Materials Research and Testing (BAM), Unter den Eichen 87, 12205, Berlin, Germany.
Carsten PrinzFederal Institute for Materials Research and Testing (BAM), Unter den Eichen 87, 12205, Berlin, Germany.
Mario SahreFederal Institute for Materials Research and Testing (BAM), Unter den Eichen 87, 12205, Berlin, Germany.
Vasile-Dan HodoroabaFederal Institute for Materials Research and Testing (BAM), Unter den Eichen 87, 12205, Berlin, Germany. Dan.Hodoroaba@bam.de.
Jörg RadnikFederal Institute for Materials Research and Testing (BAM), Unter den Eichen 87, 12205, Berlin, Germany. Joerg.Radnik@bam.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigates the effect of varying iron-to-nickel ratios on the catalytic performance of Fe-Ni oxide nanoparticles (NPs) for the oxygen evolution reaction (OER). Addressing the issue of high energy wastage due to large overpotentials in OER, we synthesized and characterized different NP catalysts with different Fe: Ni oxide ratios. Transmission Electron Microscopy (TEM), Energy Dispersive X-ray Spectroscopy (EDS), and X-ray Diffraction (XRD) were employed to determine the morphology, elemental and phase composition of the NPs. Furthermore, in-depth profiling with X-ray Photoelectron Spectroscopy (XPS) and Hard X-ray Photoelectron Spectroscopy (HAXPES) revealed that iron predominantly exists as oxide, while nickel exhibits both metallic and oxidic forms depending on the Fe content. XPS indicated an enrichment of iron at the NP surface, whereas HAXPES and EDS data agreed on the bulk stoichiometry. The assessment of the catalytic activity via cyclic voltammetry (CV) showed that the Fe: Ni ratio of 2:3 exhibited superior performance, characterized by lower overpotential and a smaller Tafel slope.

Identifiers

PMID40064989
PMCPMC11893910

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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.