Evidence map›Paper›PMID 40631589›Full record

ReviewSmall (Weinheim an der Bergstrasse, Germany)2025

Sustainable Biomass-Derived Single-Atom Catalysts for Fenton-Like Catalysis.

Selusiwe Ncube, Zhihao Tian, Jingkai Lin, Huayang Zhang, Shaobin Wang, Wenjie Tian

Abstract readReview
In one paragraph

Review in Small (Weinheim an der Bergstrasse, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Sustainable Biomass-Derived Single-Atom Catalysts for Fenton-Like Catalysis.Small (Weinheim an der Bergstrasse, Germany) · 2025
    Review
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

6 authors.

Selusiwe NcubeSchool of Chemical Engineering, The University of Adelaide, North Terrace, Adelaide, SA, 5005, Australia.
Zhihao TianSchool of Chemical Engineering, The University of Adelaide, North Terrace, Adelaide, SA, 5005, Australia.
Jingkai LinSchool of Chemical Engineering, The University of Adelaide, North Terrace, Adelaide, SA, 5005, Australia.
Huayang ZhangSchool of Chemical Engineering, The University of Adelaide, North Terrace, Adelaide, SA, 5005, Australia.ORCID 0000-0002-7503-5481
Shaobin WangSchool of Chemical Engineering, The University of Adelaide, North Terrace, Adelaide, SA, 5005, Australia.
Wenjie TianSchool of Chemical Engineering, The University of Adelaide, North Terrace, Adelaide, SA, 5005, Australia.

Funding

Australian Laureate Fellowships FL230100178Australian Research CouncilDiscovery Early Career Researcher Award DE220101074Discovery Project DP240102787
6 · The paper itself

Abstract

Single-atom catalysis has generated significant interest in catalysis, particularly for environmental remediation. Pursuing desired single atom catalysts (SACs) for practical application hinges on the simplicity of synthesis methods, the choice of precursor materials, cost-effectiveness, and catalytic performance. Consequently, natural resources like biomass have been harnessed to prepare SACs, driving continuous efforts to establish controlled and scalable synthesis techniques. This comprehensive review encompasses a broad exploration of diverse synthesis methods employed for crafting SACs derived from biomass, intended for environmental catalysis by Fenton-like reactions, employing peroxymonosulphate (PMS), peroxydisulphate (PDS), or hydrogen peroxide (H

Indexed as

BiomassHydrogen PeroxideIronCatalysisFenton's reagentHydrogen PeroxideIronbiomassFenton‐like catalysissingle atom catalysttransition metalswater remediation

Identifiers

PMID40631589
PMCPMC12410915

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.