Evidence map›Paper›PMID 38025875›Full record

ArticleRSC advances2023

Dopamine levels determined in synthetic urine using an electrochemical tyrosinase biosensor based on ZnO@Au core-shell.

Thainá G Beatto, Wyllerson E Gomes, Augusto Etchegaray, Ruchi Gupta, Renata K Mendes

Open access · goldAbstract read
In one paragraph

Article in RSC advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.7field-weighted citation impact, top 9% 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

10 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. A Dopamine Detection Sensor Based on Au-Decorated NiSMolecules (Basel, Switzerland) · 2024
    Article
  9. Review
  10. Review
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 2 countries.

Thainá G BeattoPontíficia Universidade Católica de Campinas Campinas SP Brazil renatavalente@puc-campinas.edu.br +55 19 33437656.
Wyllerson E GomesPontíficia Universidade Católica de Campinas Campinas SP Brazil renatavalente@puc-campinas.edu.br +55 19 33437656.
Augusto EtchegarayPontíficia Universidade Católica de Campinas Campinas SP Brazil renatavalente@puc-campinas.edu.br +55 19 33437656.
Ruchi GuptaSchool of Chemistry, University of Birmingham Birmingham B15 2TT UK.ORCID https://orcid.org/0000-0001-6456-8007
Renata K MendesPontíficia Universidade Católica de Campinas Campinas SP Brazil renatavalente@puc-campinas.edu.br +55 19 33437656.ORCID https://orcid.org/0000-0001-8329-5518
Pontifícia Universidade Católica de Campinas · BRUniversity of Birmingham · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This work presents a biosensor based on core-shell nanostructure formed by zinc oxide (ZnO) nanoparticles coated with gold (Au). The core-shell nanostructure served as a support for the immobilisation of tyrosinase on screen-printed carbon electrodes to measure dopamine using differential pulse voltammetry. While ZnO is a semiconductor with good electrical conductivity, Au offers high stability and biocompatibility, which is beneficial for maintaining enzyme activity. Atomic force microscopy (ATM), ultraviolet (UV) and infrared (IR) spectroscopy measurements confirmed that the core-shell was successfully formed. The biosensor comprising of ZnO@Au core-shell nanostructures with immobilised tyrosinase allowed the detection of dopamine in real samples with remarkable selectivity and accuracy with a relative error of 3.8%. The limit of detection and dynamic range of the biosensor for dopamine in real samples were 86 nmol L

Identifiers

PMID38025875
PMCPMC10644153
OpenAlexW4388677181

What OpenQuestion holds

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LicenceCC BY-NC
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.