Evidence map›Paper›PMID 37926729›Full record

ArticleMikrochimica acta2023

Improving the performance and versatility of microfluidic thread electroanalytical devices by automated injection with electronic pipettes: a new and powerful 3D-printed analytical platform.

Natália Canhete de Moraes, Rayan Marcel Carvalho, Valdir Souza Ferreira, Rodrigo Amorim Bezerra da Silva, Edmar Isaias de Melo, Jacqueline Marques Petroni, Bruno Gabriel Lucca

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Article in Mikrochimica acta, 2023. 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
0.2field-weighted citation impact, top 51% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

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

7 authors at 2 institutions in 1 country.

Natália Canhete de MoraesInstitute of Chemistry, Federal University of Mato Grosso Do Sul, Campo Grande, MS, 79074-460, Brazil.
Rayan Marcel CarvalhoInstitute of Chemistry, Federal University of Mato Grosso Do Sul, Campo Grande, MS, 79074-460, Brazil.
Valdir Souza FerreiraInstitute of Chemistry, Federal University of Mato Grosso Do Sul, Campo Grande, MS, 79074-460, Brazil.
Rodrigo Amorim Bezerra da SilvaInstitute of Chemistry, Federal University of Uberlândia, Uberlândia, MG, 38400-902, Brazil.
Edmar Isaias de MeloInstitute of Chemistry, Federal University of Uberlândia, Monte Carmelo, MG, 38500-000, Brazil.
Jacqueline Marques PetroniInstitute of Chemistry, Federal University of Mato Grosso Do Sul, Campo Grande, MS, 79074-460, Brazil.
Bruno Gabriel LuccaInstitute of Chemistry, Federal University of Mato Grosso Do Sul, Campo Grande, MS, 79074-460, Brazil. bruno.lucca@ufms.br.ORCID http://orcid.org/0000-0002-5782-6845
Universidade Federal de Mato Grosso do Sul · BRUniversidade Federal de Uberlândia · BR

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico 407581/2021-9Coordenação de Aperfeiçoamento de Pessoal de Nível Superior Finance code 001Fundação de Apoio ao Desenvolvimento do Ensino, Ciência e Tecnologia do Estado de Mato Grosso do Sul 71/032.955/2022
6 · The paper itself

Abstract

Microfluidic cotton thread-based electroanalytical devices (μTEDs) are analytical systems with attractive features such as spontaneous passive flow, low cost, minimal waste production, and good sensitivity. Currently, sample injection in µTEDs is performed by hand using manual micropipettes, which have drawbacks such as inconstant speed and position, dependence of skilled analysts, and need of physical effort of operator during prolonged times, leading to poor reproducibility and risk of strain injury. As an alternative to these inconveniences, we propose, for the first time, the use of electronic micropipettes to carry out automated injections in µTEDs. This new approach avoids all disadvantages of manual injections, while also improving the performance, experience, and versatility of µTEDs. The platform developed here is composed by three 3D-printed electrodes (detector) attached to a 3D-printed platform containing an adjustable holder that keeps the electronic pipette in the same x/y/z position. As a proof-of-concept, both injection modes (manual and electronic) were compared using three model analytes (nitrite, paracetamol, and 5-hydroxytryptophan) on µTED with amperometric detection. As result, improved analytical performance (limits of detection between 2.5- and 5-fold lower) was obtained when using electronic injections, as well as better repeatability/reproducibility and higher analytical frequencies. In addition, the determination of paracetamol in urine samples suggested better precision and accuracy for automated injection. Thus, electronic injection is a great advance and changes the state-of-art of µTEDs, mainly considering the use of more modern and versatile electronic pipettes (wider range of pre-programmed modes), which can lead to the development of even more automated systems.

Indexed as

Additive manufacturingAmperometryCarbon electrodesElectrochemical detectionGreen analytical chemistryMicroflow injection analysis (µFIA)

Identifiers

PMID37926729
OpenAlexW4388419018

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Registered trials

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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.