Evidence map›Paper›PMID 41114187›Full record

ArticleACS omega2025

Local Strain Tuning in Cu Nanoparticles through Glucose-Mediated Synthesis.

Gustavo Z Girotto, Kaue G G Dos Santos, Ruan M Martins, Marco A H Vogt, Silvia Montoro, Fernando Bonetto, Carlos Escudero, André R Muniz, Fabiano Bernardi

Abstract read
In one paragraph

Article in ACS omega, 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.

Gustavo Z GirottoPrograma de Pós-Graduação em Física, Instituto de Física, Universidade Federal do Rio Grande do Sul (UFRGS). Av. Bento Gonçalves, 9500, Agronomia, Porto Alegre 91501-970, Brazil.
Kaue G G Dos SantosPrograma de Pós-Graduação em Física, Instituto de Física, Universidade Federal do Rio Grande do Sul (UFRGS). Av. Bento Gonçalves, 9500, Agronomia, Porto Alegre 91501-970, Brazil.
Ruan M MartinsDepartamento de Engenharia Química, Universidade Federal do Rio Grande do Sul (UFRGS). Rua Engenheiro Luiz Englert, s/n°Prédio 12.204, Farroupilha, Porto Alegre 90040-060, Brazil.
Marco A H VogtPrograma de Pós-Graduação em Física, Instituto de Física, Universidade Federal do Rio Grande do Sul (UFRGS). Av. Bento Gonçalves, 9500, Agronomia, Porto Alegre 91501-970, Brazil.
Silvia MontoroInstituto de Física del Litoral, CONICET-UNL. Guemes 3450, S3000GLN Santa Fe, Argentina.ORCID https://orcid.org/0000-0002-4613-1909
Fernando BonettoInstituto de Física del Litoral, CONICET-UNL. Guemes 3450, S3000GLN Santa Fe, Argentina.
Carlos EscuderoALBA Synchrotron Light Source, Cerdanyola del Vallès, 08290 Barcelona, Spain.ORCID https://orcid.org/0000-0001-8716-9391
André R MunizDepartamento de Engenharia Química, Universidade Federal do Rio Grande do Sul (UFRGS). Rua Engenheiro Luiz Englert, s/n°Prédio 12.204, Farroupilha, Porto Alegre 90040-060, Brazil.
Fabiano BernardiPrograma de Pós-Graduação em Física, Instituto de Física, Universidade Federal do Rio Grande do Sul (UFRGS). Av. Bento Gonçalves, 9500, Agronomia, Porto Alegre 91501-970, Brazil.ORCID https://orcid.org/0000-0001-6817-6860

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cu nanoparticles are widely used in different fields. Controlling the Cu oxidation state and the local strain is fundamental for optimizing its efficiency in processes, such as catalytic reactions. In this work, Cu nanoparticles were synthesized by using glucose as a reducing agent. Different synthesis conditions led to nanoparticles with a tunable local strain and Cu(0)/Cu

Identifiers

PMID41114187
PMCPMC12529391

What OpenQuestion holds

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LicenceCC BY
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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.