Evidence map›Paper›PMID 37551998›Full record

ReviewAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2023

Progress in Manipulating Dynamic Surface Reconstruction via Anion Modulation for Electrocatalytic Water Oxidation.

Zexing He, Muhammad Ajmal, Minghui Zhang, Xiaokang Liu, Zhen-Feng Huang, Chengxiang Shi, Ruijie Gao, Lun Pan, Xiangwen Zhang, Ji-Jun Zou

Abstract readReview
In one paragraph

Review in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 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

10 authors.

Zexing HeKey Laboratory for Green Chemical Technology of the Ministry of Education, Institute of Molecular Plus, School of Chemical Engineering and Technology, Tianjin University, Tianjin, 300072, China.
Muhammad AjmalKey Laboratory for Green Chemical Technology of the Ministry of Education, Institute of Molecular Plus, School of Chemical Engineering and Technology, Tianjin University, Tianjin, 300072, China.
Minghui ZhangKey Laboratory for Green Chemical Technology of the Ministry of Education, Institute of Molecular Plus, School of Chemical Engineering and Technology, Tianjin University, Tianjin, 300072, China.
Xiaokang LiuKey Laboratory for Green Chemical Technology of the Ministry of Education, Institute of Molecular Plus, School of Chemical Engineering and Technology, Tianjin University, Tianjin, 300072, China.
Zhen-Feng HuangKey Laboratory for Green Chemical Technology of the Ministry of Education, Institute of Molecular Plus, School of Chemical Engineering and Technology, Tianjin University, Tianjin, 300072, China.
Chengxiang ShiKey Laboratory for Green Chemical Technology of the Ministry of Education, Institute of Molecular Plus, School of Chemical Engineering and Technology, Tianjin University, Tianjin, 300072, China.
Ruijie GaoKey Laboratory for Green Chemical Technology of the Ministry of Education, Institute of Molecular Plus, School of Chemical Engineering and Technology, Tianjin University, Tianjin, 300072, China.
Lun PanKey Laboratory for Green Chemical Technology of the Ministry of Education, Institute of Molecular Plus, School of Chemical Engineering and Technology, Tianjin University, Tianjin, 300072, China.
Xiangwen ZhangKey Laboratory for Green Chemical Technology of the Ministry of Education, Institute of Molecular Plus, School of Chemical Engineering and Technology, Tianjin University, Tianjin, 300072, China.
Ji-Jun ZouKey Laboratory for Green Chemical Technology of the Ministry of Education, Institute of Molecular Plus, School of Chemical Engineering and Technology, Tianjin University, Tianjin, 300072, China.ORCID https://orcid.org/0000-0002-9126-1251

Funding

Applied Basic Research Program of Qinghai Province 2023-ZJ-701Haihe Laboratory of Sustainable Chemical TransformationsNational Key R&D Program of China 2020YFA0710000National Natural Science Foundation of China 22008170National Natural Science Foundation of China 22121004National Natural Science Foundation of China 22222808National Natural Science Foundation of China 22278307Tianjin Research Innovation Project for Postgraduate Students 2022BKYZ035
6 · The paper itself

Abstract

The development of efficient and economical electrocatalysts for oxygen evolution reaction (OER) is of paramount importance for the sustainable production of renewable fuels and energy storage systems; however, the sluggish OER kinetics involving multistep four proton-coupled electron transfer hampers progress in these systems. Fortunately, surface reconstruction offers promising potential to improve OER catalyst design. Anion modulation plays a crucial role in controlling the extent of surface reconstruction and positively persuading the reconstructed species' performances. This review starts by providing a general explanation of how various types of anions can trigger dynamic surface reconstruction and create different combinations with pre-catalysts. Next, the influences of anion modulation on manipulating the surface dynamic reconstruction process are discussed based on the in situ advanced characterization techniques. Furthermore, various effects of survived anionic groups in reconstructed species on water oxidation activity are further discussed. Finally, the challenges and prospects for the future development directions of anion modulation for redirecting dynamic surface reconstruction to construct highly efficient and practical catalysts for water oxidation are proposed.

Indexed as

anion modulationcatalyst designelectrocatalytic water oxidationreaction mechanismsurface reconstruction

Identifiers

PMID37551998
PMCPMC10582449

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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.