Evidence map›Paper›PMID 38392020›Full record

ArticleBiosensors2024

Electrochemical Aptasensing Platform for the Detection of Retinol Binding Protein-4.

Kamila Malecka-Baturo, Paulina Żółtowska, Agnieszka Jackowska, Katarzyna Kurzątkowska-Adaszyńska, Iwona Grabowska

Open access · goldAbstract read
In one paragraph

Article in Biosensors, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.2field-weighted citation impact, top 24% of its field
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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. Article
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 at 2 institutions in 1 country.

Kamila Malecka-BaturoInstitute of Animal Reproduction and Food Research Polish Academy of Sciences, Tuwima 10, 10-748 Olsztyn, Poland.ORCID 0000-0002-9136-1359
Paulina ŻółtowskaDepartment of Chemistry, University of Warmia and Mazury, Plac Łódzki 4, 10-721 Olsztyn, Poland.
Agnieszka JackowskaDepartment of Chemistry, University of Warmia and Mazury, Plac Łódzki 4, 10-721 Olsztyn, Poland.
Katarzyna Kurzątkowska-AdaszyńskaInstitute of Animal Reproduction and Food Research Polish Academy of Sciences, Tuwima 10, 10-748 Olsztyn, Poland.ORCID 0000-0001-8996-3468
Iwona GrabowskaInstitute of Animal Reproduction and Food Research Polish Academy of Sciences, Tuwima 10, 10-748 Olsztyn, Poland.ORCID 0000-0002-5056-7828
InLife Institute of Animal Reproduction and Food Research, Polish Academy of Sciences · PLUniversity of Warmia and Mazury in Olsztyn · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Here, we present the results of our the electrochemical aptasensing strategy for retinol binding protein-4 (RBP-4) detection based on a thiolated aptamer against RBP-4 and 6-mercaptohexanol (MCH) directly immobilized on a gold electrode surface. The most important parameters affecting the magnitude of the analytical signal generated were optimized: (i) the presence of magnesium ions in the immobilization and measurement buffer, (ii) the concentration of aptamer in the immobilization solution and (iii) its folding procedure. In this work, a systematic assessment of the electrochemical parameters related to the optimization of the sensing layer of the aptasensor was carried out (electron transfer coefficients

Indexed as

Aptamers, NucleotideBiosensing TechniquesMetal NanoparticlesDielectric SpectroscopyElectrochemical TechniquesElectrodesGoldLimit of DetectionOxidation-ReductionRetinol-Binding ProteinsAptamers, NucleotideGoldRetinol-Binding Proteinselectrochemical aptasensoroptimization processRBP-4retinol binding protein-4

Identifiers

PMID38392020
PMCPMC10887324
OpenAlexW4391879380

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.