Evidence map›Paper›PMID 42402818›Full record

ArticleSmall (Weinheim an der Bergstrasse, Germany)2026

Defect-Engineered Ni@Graphitic Carbon Catalyst With Adaptive Coordination for Energy-Efficient Plasma-Assisted Dry Reforming of Methane.

Minghai Shen, Lige Tong, Jinzhu Ma, Li Wang, Sibudjing Kawi, Paul K Chu, Yulong Ding

Abstract read
In one paragraph

Article in Small (Weinheim an der Bergstrasse, Germany), 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

7 authors.

Minghai ShenSchool of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, China.
Lige TongSchool of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, China.ORCID https://orcid.org/0000-0001-6415-0372
Jinzhu MaState Key Joint Laboratory of Environment Simulation and Pollution Control, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China.
Li WangSchool of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, China.ORCID https://orcid.org/0000-0002-0370-0008
Sibudjing KawiDepartment of Chemical and Biomolecular Engineering, National University of Singapore, Singapore, Singapore.ORCID https://orcid.org/0000-0002-0710-8423
Paul K ChuDepartment of Physics, Department of Materials Science and Engineering, and Department of Biomedical Engineering, City University of Hong Kong, Kowloon, Hong Kong, China.ORCID https://orcid.org/0000-0002-5581-4883
Yulong DingBirmingham Centre For Energy Storage & School of Chemical Engineering, University of Birmingham, Birmingham, UK.

Funding

China Scholarship Council 202306460067City University of Hong Kong Donation Research 9220061City University of Hong Kong Donation Research DON-RMG 9229021National Key Research and Development Program of China 2022YFC3800401S&T Program of Hebei 254Z9903G
6 · The paper itself

Abstract

Plasma-assisted dry reforming of methane (DRM) is a promising low-temperature strategy for syngas production. However, the dynamic and non-equilibrium nature of the plasma environment presents considerable challenges for catalyst design. Herein, we report a Ni@graphitic carbon catalyst featuring a tailored pore-surface architecture specifically engineered for plasma-catalytic conditions. Under ambient temperature and pressure and at a low input power of 40 W, the catalyst achieves remarkable CO and H

Indexed as

adaptive coordination environmentdry reforming of methanenickel catalystplasma‐assisted catalysissyngas production

Identifiers

PMID42402818
PMCPMC13509057

What OpenQuestion holds

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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.