Evidence map›Paper›PMID 36405314›Full record

ArticleFrontiers in chemistry2022

Dealloying fabrication of hierarchical porous Nickel-Iron foams for efficient oxygen evolution reaction.

Tingting Zhou, Zilong Liu, Bei Yang, Zhen Cao, Zaiyong Jiang, Weiran Cui, Kaili Wang, Lei Yu, Jitao Lu, Ling Zhang

Abstract read
In one paragraph

Article in Frontiers in chemistry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
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  5. Review
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.

Tingting ZhouCollege of Chemical Engineering and Environmental Chemistry, Weifang University, Weifang, China.
Zilong LiuCollege of Chemical Engineering and Environmental Chemistry, Weifang University, Weifang, China.
Bei YangCollege of Chemical Engineering and Environmental Chemistry, Weifang University, Weifang, China.
Zhen CaoCollege of Chemical Engineering and Environmental Chemistry, Weifang University, Weifang, China.
Zaiyong JiangCollege of Chemical Engineering and Environmental Chemistry, Weifang University, Weifang, China.
Weiran CuiCollege of Chemical Engineering and Environmental Chemistry, Weifang University, Weifang, China.
Kaili WangCollege of Chemical Engineering and Environmental Chemistry, Weifang University, Weifang, China.
Lei YuCollege of Chemical Engineering and Environmental Chemistry, Weifang University, Weifang, China.
Jitao LuCollege of Chemical Engineering and Environmental Chemistry, Weifang University, Weifang, China.
Ling ZhangSchool of Science, Harbin Institute of Technology, Shenzhen, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Designing and preparing highly active oxygen evolution reaction (OER) electrodes are essential for improving the overall efficiency of water splitting. Increasing the number of active sites is the simplest way to enhance OER performance. Herein, we present a dealloy-etched Ni-Fe foam with a hierarchical nanoporous structure as integrated electrodes with excellent performance for OER. Using the dealloying method on the Ni-Fe foam framework, a nanoporous structure is produced, which is named nanoporous Ni-Fe@Ni-Fe foam (NP-NF@NFF). Because of the peculiarities of the dealloying method, the NP-NF@NFF produced contains oxygen vacancies and heterojunctions. As a result, NP-NF@NFF electrode outperforms state-of-the-art noble metal catalysts with an extremely low overpotential of 210 and 285 mV at current densities of 10 and 100 mA cm

Indexed as

dealloyedelectrocataiysishierarchal structurenickel-iron (NiFe)oxygen evolution reduction

Identifiers

PMID36405314
PMCPMC9669365

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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.