Evidence map›Paper›PMID 39651095›Full record

ArticleACS omega2024

Screen-Printed Nanohybrid Palladium-Based Electrodes for Fast and Simple Determination of Estradiol in Livestock.

Claudio Sabbatini Capella Lopes, Francisco Walison Lima Silva, Juliana Dos Santos Fernandes, Julia Oliveira Fernandes, João H A Ferreira, Felipe Zandonadi Brandão, Ricardo Erthal Santelli, Thiago C Canevari, Fernando Henrique Cincotto

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In one paragraph

Article in ACS omega, 2024. 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.

Claudio Sabbatini Capella LopesDepartamento de Química Analítica, Instituto de Química, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-853, Brazil.
Francisco Walison Lima SilvaDepartamento de Química Analítica, Instituto de Química, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-853, Brazil.
Juliana Dos Santos FernandesDepartamento de Química Analítica, Instituto de Química, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-853, Brazil.
Julia Oliveira FernandesDepartamento de Química Analítica, Instituto de Química, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-853, Brazil.
João H A FerreiraLabNaHm: Multifunctional Hybrid Nanomaterials Laboratory Engineering School, Mackenzie Presbyterian University, São Paulo 01302-907, SP, Brazil.
Felipe Zandonadi BrandãoFaculdade de Veterinária, Universidade Federal Fluminense, Av. Vital Brasil Filho, 64, Niterói, RJ CEP 24230-340, Brazil.
Ricardo Erthal SantelliDepartamento de Química Analítica, Instituto de Química, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-853, Brazil.
Thiago C CanevariLabNaHm: Multifunctional Hybrid Nanomaterials Laboratory Engineering School, Mackenzie Presbyterian University, São Paulo 01302-907, SP, Brazil.ORCID https://orcid.org/0000-0002-4336-8097
Fernando Henrique CincottoDepartamento de Química Analítica, Instituto de Química, Universidade Federal do Rio de Janeiro, Rio de Janeiro 21941-853, Brazil.ORCID https://orcid.org/0000-0001-7027-2480

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

One of the main challenges in animal breeding systems is determining estradiol (E2) in livestock samples as simple and minimally invasive as possible, Thus, a nonenzymatic biosensor screen-printed electrode (SPE) was developed by modifying nanohybrid palladium nanoparticles (PdNPs), and carbon dots anchored on a nanosilica particle (PdNPs/C.dots/SiO

Identifiers

PMID39651095
PMCPMC11618398

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.