Evidence map›Paper›PMID 42540251›Full record

ArticleACS omega2026

From Waste to Catalyst: Cobalt-Functionalized Silica as a Photocatalyst for Water Purification.

Saša Zeljković, Andraž Šuligoj, Milica Kosić, Goran Dražić, Alenka Ristić, Nataša Zabukovec Logar, Nataša Novak Tušar

Abstract read
In one paragraph

Article in ACS omega, 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.

Saša ZeljkovićUniversity of Banja Luka, Faculty of Natural Sciences and Mathematics, Department of Chemistry, Mladena Stojanovica 2, Banja Luka 78 000, Bosnia and Herzegovina.ORCID https://orcid.org/0000-0001-7864-9553
Andraž ŠuligojNational Institute of Chemistry, Department of Inorganic Chemistry and Technology, Hajdrihova 19, Ljubljana SI-1001, Slovenia.ORCID https://orcid.org/0000-0002-7971-1424
Milica KosićUniversity of Banja Luka, Faculty of Natural Sciences and Mathematics, Department of Chemistry, Mladena Stojanovica 2, Banja Luka 78 000, Bosnia and Herzegovina.
Goran DražićNational Institute of Chemistry, Department of Materials Chemistry, Hajdrihova 19, Ljubljana SI-1001, Slovenia.ORCID https://orcid.org/0000-0001-7809-8050
Alenka RistićNational Institute of Chemistry, Department of Inorganic Chemistry and Technology, Hajdrihova 19, Ljubljana SI-1001, Slovenia.ORCID https://orcid.org/0000-0001-6627-8097
Nataša Zabukovec LogarNational Institute of Chemistry, Department of Inorganic Chemistry and Technology, Hajdrihova 19, Ljubljana SI-1001, Slovenia.ORCID https://orcid.org/0000-0001-8972-0087
Nataša Novak TušarNational Institute of Chemistry, Department of Inorganic Chemistry and Technology, Hajdrihova 19, Ljubljana SI-1001, Slovenia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The repurposing of waste industrial materials for use in environmental remediation is of great interest in terms of the circular economy as well as public health and safety efforts. Herein, an innovative approach is presented to synthesize a cobalt-functionalized waste silica (Co-MS) utilizing a green, solvent-deficient method (SDM), using industrial waste micron-sized silica (MS) as a sustainable support material. The resulting Co-MS composite is evaluated as a photocatalyst for the removal of methylene blue (MB) under natural sunlight, offering an energy-efficient and environmentally friendly treatment method. Comprehensive characterization confirmed the formation of multiple-valence-state cobalt nanoparticlesCo, CoO, and Co

Identifiers

PMID42540251
PMCPMC13425333

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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.