Evidence map›Paper›PMID 35773298›Full record

ArticleScientific reports2022

Colloidal lithography as a novel approach for the development of Ni-nanocavity insulin sensor.

Ivana Šišoláková, Ondrej Petruš, Jana Shepa, Zdeněk Farka, Andrej Oriňak, Renáta Oriňaková

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.1field-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

2 citing papers in PubMed, 12 citations in OpenAlex.

  1. Capillary Wave-Assisted Colloidal Assembly.Langmuir : the ACS journal of surfaces and colloids · 2025
    Article
  2. 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

6 authors at 3 institutions in 2 countries.

Ivana ŠišolákováDepartment of Physical Chemistry, University of P.J. Šafárik in Košice, Moyzesova 11, 040 01, Košice, Slovak Republic.
Ondrej PetrušInstitute of Materials Research, Slovak Academy of Sciences, Watsonova 47, 040 01, Košice, Slovak Republic. opetrus@saske.sk.
Jana ShepaDepartment of Physical Chemistry, University of P.J. Šafárik in Košice, Moyzesova 11, 040 01, Košice, Slovak Republic.
Zdeněk FarkaDepartment of Biochemistry, Faculty of Science, Masaryk University, Kamenice 5, 625 00, Brno, Czech Republic.
Andrej OriňakDepartment of Physical Chemistry, University of P.J. Šafárik in Košice, Moyzesova 11, 040 01, Košice, Slovak Republic.
Renáta OriňakováDepartment of Physical Chemistry, University of P.J. Šafárik in Košice, Moyzesova 11, 040 01, Košice, Slovak Republic.
University of Pavol Jozef Šafárik · SKInstitute of Materials Research of the Slovak Academy of Sciences · SKMasaryk University · CZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, a highly sensitive, fast, and selective enzyme-free electrochemical sensor based on the deposition of Ni cavities on conductive glass was proposed for insulin detection. Considering the growing prevalence of diabetes mellitus, an electrochemical sensor for the determination of insulin was proposed for the effective diagnosis of the disease. Colloidal lithography enabled deposition of nanostructured layer (substrate) with homogeneous distribution of Ni cavities on the electrode surface with a large active surface area. The morphology and structure of conductive indium tin oxide glass modified with Ni cavities (Ni-c-ITO) were characterized by scanning electron microscopy (SEM) and atomic force microscopy (AFM). The diameter of the resulting cavities was approximately 500 nm, while their depth was calculated at 190 ± 4 nm and 188 ± 18 nm using AFM and SEM, respectively. The insulin assay performance was evaluated by cyclic voltammetry. Ni-c-ITO exhibited excellent analytical characteristics, including high sensitivity (1.032 µA µmol

Indexed as

Biosensing TechniquesNanostructuresElectrochemical TechniquesElectrodesInsulinInsulin

Identifiers

PMID35773298
PMCPMC9246938
OpenAlexW4283758151

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.