Evidence map›Paper›PMID 40319184›Full record

ArticleScientific reports2025

Dual function NiMo/MgO catalyst for biogas valorization to syngas and carbon nanotubes.

Pichawee Aieamsam-Aung, Narissara Simma, Sornsawan Juntala, Atthapon Srifa, Wanida Koo-Amornpattana, Prasert Reubroycharoen, Phorndranrat Suchamalawong, Choji Fukuhara, Sakhon Ratchahat

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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

9 authors.

Pichawee Aieamsam-AungEnergy Research Institute, Chulalongkorn University, Bangkok, 10330, Thailand.
Narissara SimmaDepartment of Chemical Engineering, Faculty of Engineering, Mahidol University, Nakhon Pathom, 73170, Thailand.
Sornsawan JuntalaDepartment of Chemical Engineering, Faculty of Engineering, Mahidol University, Nakhon Pathom, 73170, Thailand.
Atthapon SrifaDepartment of Chemical Engineering, Faculty of Engineering, Mahidol University, Nakhon Pathom, 73170, Thailand.
Wanida Koo-AmornpattanaDepartment of Chemical Engineering, Faculty of Engineering, Mahidol University, Nakhon Pathom, 73170, Thailand.
Prasert ReubroycharoenDepartment of Chemical Technology, Faculty of Science, Chulalongkorn University, Bangkok, 10330, Thailand.
Phorndranrat SuchamalawongMarine Department, Merchant Marine Training Centre, 1278 Yotha Road, Talard Noi, Samphanthawong, Bangkok, 10100, Thailand.
Choji FukuharaDepartment of Applied Chemistry and Biochemical Engineering, Graduate School of Engineering, Shizuoka University, Shizuoka, 432-8561, Japan.
Sakhon RatchahatDepartment of Chemical Engineering, Faculty of Engineering, Mahidol University, Nakhon Pathom, 73170, Thailand. sakhon.rat@mahidol.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The current transition from fossil energy to renewable energy presents a substantial challenge in the development of highly efficient catalytic conversion systems. This work presents a new dual-functional catalytic material capable of fully utilizing biogas as a renewable resource, based on a novel combination of dry reforming and catalytic decomposition of methane processes. A dual-function nickel-molybdenum (Ni-Mo) catalyst was produced by utilizing a simple and efficient impregnation process with optimized mass ratio between Ni and Mo. With a 1:0.5 ratio, the catalyst converted all CO

Indexed as

BiogasCarbon nanotubesDry reformingDual function sitesNi–Mo catalystSyngas

Identifiers

PMID40319184
PMCPMC12049459

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.