Evidence map›Paper›PMID 38483622›Full record

ArticleMikrochimica acta2024

Reusable graphite-based electrochemical sensors for L-dopa and dopamine detection.

Rodrigo Vieira Blasques, Jéssica Santos Stefano, Vinicius Aparecido Oliani Pedro da Silva, Laís Canniatti Brazaca, Bruno Campos Janegitz

Abstract read
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In one paragraph

Article in Mikrochimica acta, 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
–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

1 citing paper in PubMed.

  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.

Rodrigo Vieira BlasquesLaboratory of Sensors, Nanomedicine and Nanostructured Materials, Federal University of São Carlos, Araras, 13600-970, Brazil.
Jéssica Santos StefanoLaboratory of Sensors, Nanomedicine and Nanostructured Materials, Federal University of São Carlos, Araras, 13600-970, Brazil.
Vinicius Aparecido Oliani Pedro da SilvaLaboratory of Sensors, Nanomedicine and Nanostructured Materials, Federal University of São Carlos, Araras, 13600-970, Brazil.
Laís Canniatti BrazacaInstituto de Química de São Carlos, Universidade de São Paulo, São Carlos, São Paulo, Brazil. lais.brazaca@usp.br.
Bruno Campos JanegitzLaboratory of Sensors, Nanomedicine and Nanostructured Materials, Federal University of São Carlos, Araras, 13600-970, Brazil. brunocj@ufscar.br.

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico 301796/2022-0Conselho Nacional de Desenvolvimento Científico e Tecnológico 401977/2023-4Coordenação de Aperfeiçoamento de Pessoal de Nível Superior 88887.504861/2020-00Coordenação de Aperfeiçoamento de Pessoal de Nível Superior Finance code 001Financiadora de Estudos e Projetos 01.22.0179.00Fundação de Amparo à Pesquisa do Estado de São Paulo 2017/21097-3
6 · The paper itself

Abstract

A fully reusable electrochemical device is proposed for the first time made from laser cutting and a homemade conductive ink composed of carbon and nail polish. As a sensor substrate, we applied polymethyl methacrylate, which allows the surface to be renewed by simply removing and reapplying a new layer of ink. In addition to the ease of renewing the sensor's conductive surface, the design of the device has allowed for the integration of different forms of analysis. The determination of L-Dopa was performed using DPV, which presented a linear response range between 5.0 and 1000.0 μmol L

Indexed as

GraphiteLevodopaDopamineElectrochemical TechniquesElectrodesReproducibility of ResultsDopamineGraphiteLevodopaAmperometryDifferential pulse voltammetryDopamineFlow injectionL-DopaPoint-of-care detectionReusable electrochemical platform

Identifiers

PMID38483622

What OpenQuestion holds

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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.