Evidence map›Paper›PMID 41515473›Full record

ArticleMolecules (Basel, Switzerland)2026

Magnetically Recoverable ICT-Functionalized Fe

Katarina Isaković, Marko Jonović, Dušan Sredojević, Marko Bošković, Jovana Periša, Zorica Knežević-Jugović, Vesna Lazić

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

7 authors.

Katarina IsakovićVinča Institute of Nuclear Sciences, National Institute of the Republic of Serbia, Centre of Excellence for Photoconversion, University of Belgrade, 11001 Belgrade, Serbia.
Marko JonovićInstitute of Chemistry, Technology and Metallurgy, University of Belgrade, 11000 Belgrade, Serbia.ORCID 0000-0002-9494-6766
Dušan SredojevićVinča Institute of Nuclear Sciences, National Institute of the Republic of Serbia, Centre of Excellence for Photoconversion, University of Belgrade, 11001 Belgrade, Serbia.
Marko BoškovićLaboratory for Theoretical and Condensed Matter Physics, Vinča Institute of Nuclear Sciences, National Institute of the Republic of Serbia, University of Belgrade, 11001 Belgrade, Serbia.
Jovana PerišaVinča Institute of Nuclear Sciences, National Institute of the Republic of Serbia, Centre of Excellence for Photoconversion, University of Belgrade, 11001 Belgrade, Serbia.ORCID 0000-0002-4683-0603
Zorica Knežević-JugovićDepartment of Biochemical Engineering and Biotechnology, Faculty of Technology and Metallurgy, University of Belgrade, 11000 Belgrade, Serbia.ORCID 0000-0003-3009-1698
Vesna LazićVinča Institute of Nuclear Sciences, National Institute of the Republic of Serbia, Centre of Excellence for Photoconversion, University of Belgrade, 11001 Belgrade, Serbia.ORCID 0000-0001-6440-6577

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The formation of interfacial charge transfer (ICT) complexes between phenolic ligands and metal oxide surfaces enables surface functionalization strategies with potential applications in catalysis and bioconjugation. In this study, magnetite (Fe

Indexed as

Enzymes, ImmobilizedMagnetite NanoparticlesCaffeic AcidsCatalysisHorseradish PeroxidaseMesalamineOxidation-ReductionSpectroscopy, Fourier Transform Infraredcaffeic acidCaffeic AcidsEnzymes, ImmobilizedHorseradish PeroxidaseMagnetite NanoparticlesMesalamine5-aminosalicylic acid (5ASA)enzyme immobilizationFe3O4 nanoparticleshorseradish peroxidase (HRP)interfacial charge transfer (ICT)

Identifiers

PMID41515473
PMCPMC12787986

What OpenQuestion holds

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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.