Evidence map›Paper›PMID 41113094›Full record

ArticleChemistry of materials : a publication of the American Chemical Society2025

Histidine-Copper Site Variability in UiO-66: Monitoring Synthetic Intricacy with EPR Spectroscopy.

Erlend Aunan, Isabelle Gerz, Karl P Lillerud, Serena DeBeer, Unni Olsbye

Abstract read
In one paragraph

Article in Chemistry of materials : a publication of the American Chemical Society, 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

5 authors.

Erlend AunanCentre for Materials Science and Nanotechnology, Department of Chemistry, University of Oslo, Sem Sælandsvei 26, N-0315 Oslo, Norway.
Isabelle GerzDepartment of Inorganic Spectroscopy, Max Planck Institute for Chemical Energy Conversion, Stiftstraße 34-36, 45470 Mülheim an der Ruhr, Germany.
Karl P LillerudCentre for Materials Science and Nanotechnology, Department of Chemistry, University of Oslo, Sem Sælandsvei 26, N-0315 Oslo, Norway.
Serena DeBeerDepartment of Inorganic Spectroscopy, Max Planck Institute for Chemical Energy Conversion, Stiftstraße 34-36, 45470 Mülheim an der Ruhr, Germany.ORCID https://orcid.org/0000-0002-5196-3400
Unni OlsbyeCentre for Materials Science and Nanotechnology, Department of Chemistry, University of Oslo, Sem Sælandsvei 26, N-0315 Oslo, Norway.ORCID https://orcid.org/0000-0003-3693-2857

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bioinspired design of catalysts aims to harness natural motifs observed in enzymatic systems to develop more efficient catalysts for industrial applications. One particularly inspiring group of enzymesmonooxygenasesdemonstrate the highly efficient partial oxidations of substrates, such as the conversion of methane to methanol, a process that is highly sought after in industrial chemistry. In this study, we explore the use of zirconium-based metal-organic framework UiO-66, synthesized with open zirconium sites, to support copper-histidine complexes of varying geometries and speciation. Through the application of EPR spectroscopy, we identified three distinct copper species within the framework. The mole fractions of these copper species varied depending on the histidine loading, suggesting a tunable system with potential implications for catalytic performance. Without histidine loading, copper was found to bind scarcely to the defective site. With histidine, however, copper retention was improved. Two different species formed, of which one resembles the pMMO Cu

Identifiers

PMID41113094
PMCPMC12529766

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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.