Nitrogen-Tungsten Oxide Nanostructures on Nickel Foam as High Efficient Electrocatalysts for Benzyl Alcohol Oxidation.

Yizhen Zhu, Xiangyu Chen, Yuanyao Zhang, Zhifei Zhu, Handan Chen, Kejie Chai, Weiming Xu

Abstract read

In one paragraph

Article in Molecules (Basel, Switzerland), 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

7 authors.

Yizhen ZhuCollege of Material, Chemistry and Chemical Engineering, Hangzhou Normal University, Hangzhou 311121, China.

Xiangyu ChenCollege of Material, Chemistry and Chemical Engineering, Hangzhou Normal University, Hangzhou 311121, China.

Yuanyao ZhangCollege of Material, Chemistry and Chemical Engineering, Hangzhou Normal University, Hangzhou 311121, China.

Zhifei ZhuCollege of Material, Chemistry and Chemical Engineering, Hangzhou Normal University, Hangzhou 311121, China.

Handan ChenCollege of Material, Chemistry and Chemical Engineering, Hangzhou Normal University, Hangzhou 311121, China.

Kejie ChaiCollege of Material, Chemistry and Chemical Engineering, Hangzhou Normal University, Hangzhou 311121, China.

Weiming XuCollege of Material, Chemistry and Chemical Engineering, Hangzhou Normal University, Hangzhou 311121, China.

Funding

the Natural Science Foundation of China 22178078the Sci-Tech Project of Hangzhou 20201203B137the Sci-Tech Project of Zhejiang LGG21B020001

6 · The paper itself

Abstract

Electrocatalytic alcohol oxidation (EAO) is an attractive alternative to the sluggish oxygen evolution reaction in electrochemical hydrogen evolution cells. However, the development of high-performance bifunctional electrocatalysts is a major challenge. Herein, we developed a nitrogen-doped bimetallic oxide electrocatalyst (WO-N/NF) by a one-step hydrothermal method for the selective electrooxidation of benzyl alcohol to benzoic acid in alkaline electrolytes. The WO-N/NF electrode features block-shaped particles on a rough, inhomogeneous surface with cracks and lumpy nodules, increasing active sites and enhancing electrolyte diffusion. The electrode demonstrates exceptional activity, stability, and selectivity, achieving efficient benzoic acid production while reducing the electrolysis voltage. A low onset potential of 1.38 V (vs. RHE) is achieved to reach a current density of 100 mA cm

Indexed as

benzyl alcoholelectrooxidationnickel foamnitrogen-doped bimetallic oxide electrocatalystWO-N/NF electrode

Identifiers

PMID39202814

DOI10.3390/molecules29163734

PMCPMC11357156

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.