Evidence map›Paper›PMID 42883274›Full record

ArticleMolecules (Basel, Switzerland)2026

Molecular-Level Structure Regulation via Sequential Pre-Crosslinking and Friedel-Crafts Hypercrosslinking: Fabrication of Bimetallic Doped Porous Carbon Electrocatalysts.

Yang Du, Shuo Gao, Jinyuan Zhang

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2026. 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

3 authors.

Yang DuInstitute of Petrochemical Technology, Jilin University of Chemical Technology, NO. 45 Chengde Street, Jilin 132022, China.ORCID 0000-0002-0758-0840
Shuo GaoSchool of Chemical and Pharmaceutical Engineering, Jilin University of Chemical Technology, NO. 45 Chengde Street, Jilin 132022, China.
Jinyuan ZhangSchool of Chemical and Pharmaceutical Engineering, Jilin University of Chemical Technology, NO. 45 Chengde Street, Jilin 132022, China.

Funding

Jilin University of Chemical Technology 222012212007
6 · The paper itself

Abstract

Owing to high surface inertness and insufficient active sites, traditional carbons cannot anchor and disperse metal species evenly, restricting catalytic activity. Via polymer precursor design, the components, functional groups and pore architecture can be tailored molecularly and preserved upon carbonization, thus regulating carbon microstructure, surface properties and active centers efficiently. This work focuses on the synthesis and structural tuning of polystyrene-based precursors using a three-step procedure of pre-crosslinking, Friedel-Crafts hypercrosslinking, and activation. The materials possess abundant mesopores ranging from 7 to 30 nm, which serve as an ideal platform for the efficient anchoring of metal ions and mass transfer during the subsequent carbonization and functionalization processes. Based on the strong adsorption and exchange ability of sulfonic acid groups, transition metal ions such as Co, Ni and Fe were uniformly doped on the surface of nanoparticles and carbonized at 300-600 °C in an air atmosphere to realize the conversion of the polymer skeleton to a carbon matrix and the in situ formation of metal species into oxide nanoparticles. At the application performance level, the prepared Co/Ni bimetallic-carbon-doped material exhibits excellent electrocatalytic activity in the alkaline oxygen evolution reaction. The overpotential is only 0.3478 V at a current density of 10 mA cm

Indexed as

alkaline OERhypercrosslinkingpolystyreneporous carbon

Identifiers

PMID42883274
PMCPMC13666392

What OpenQuestion holds

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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.