Evidence map›Paper›PMID 37970012›Full record

ArticleACS omega2023

Role of the Metal Precursor in Preparing Dual-Atom Catalysts for the Oxygen Reduction Reaction.

Xiu Zhu, Genlin Liu, Xiafang Tao, Pengwei Huang, Qing Wang, Guangbo Chen, Juan Yang, Liang Zhang, Yazhou Zhou

Abstract read
In one paragraph

Article in ACS omega, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

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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

9 authors.

Xiu ZhuSchool of Materials Science and Engineering, Jiangsu University, Zhenjiang 212013, Jiangsu, China.
Genlin LiuInstitute of Functional Nano & Soft Materials (FUNSOM), Soochow University, Suzhou 215123, Jiangsu, China.
Xiafang TaoSchool of Materials Science and Engineering, Jiangsu University, Zhenjiang 212013, Jiangsu, China.
Pengwei HuangSchool of Materials Science and Engineering, Jiangsu University, Zhenjiang 212013, Jiangsu, China.
Qing WangInstitute for Catalysis, Hokkaido University, Kita 21-10, Sapporo 001-0021, Japan.
Guangbo ChenFaculty of Chemistry and Food Chemistry &; Center for Advancing Electronics Dresden (cfaed), Technische Universität Dresden, Dresden 01062, Germany.ORCID https://orcid.org/0000-0003-1927-3642
Juan YangSchool of Materials Science and Engineering, Jiangsu University, Zhenjiang 212013, Jiangsu, China.ORCID https://orcid.org/0000-0003-0118-7084
Liang ZhangInstitute of Functional Nano & Soft Materials (FUNSOM), Soochow University, Suzhou 215123, Jiangsu, China.ORCID https://orcid.org/0000-0002-3446-3172
Yazhou ZhouSchool of Materials Science and Engineering, Jiangsu University, Zhenjiang 212013, Jiangsu, China.ORCID https://orcid.org/0000-0002-0446-2291

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dual-atom catalysts (DACs) have arisen as a novel type of heterogeneous catalyst that extends from single-atom catalysts (SACs) by incorporating two kinds of metals. These materials have demonstrated enhanced performance when compared to SACs. The choice of metal precursors plays an important role in the synthesis of DACs. Here, we choose Fe and Co as DAC models and study types, contents, molar ratios of two precursors, and oxygen reduction reaction (ORR) activity. The Fe,Co DACs were synthesized by an adsorption-annealing approach, using nitrogen-doped graphitic carbon (NC) as the support. As a result, the adsorption ability of metal precursors on the support determines the metal loadings in Fe and Co DACs, leading to differences in ORR performance. The Fe precursors win the adsorption competitions in most cases, resulting in a much higher loading than that of Co precursors. Importantly, it is difficult to increase the precursor content by simply increasing the initial amount. Choosing the right combination of metal precursors, such as ferrocene and cobalt chloride, can yield Fe,Co DACs with enhanced ORR performance..

Identifiers

PMID37970012
PMCPMC10633877

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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.