Evidence map›Paper›PMID 41427171›Full record

ArticleACS omega2025

Green and Efficient Determination of Iron(III) in Gasoline Using Microemulsion-Based Extraction and Digital Image Analysis.

Jordana de Assis Nunes Oliveira, James Michael Silva, Eduarda Garcia Santana, Wallace Henrique Cardoso Peres, Weida Rodrigues Silva, João Flávio da Silveira Petruci, Vanessa Nunes Alves

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Article in ACS omega, 2025. 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
–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

0 citing papers in PubMed.

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.

Jordana de Assis Nunes OliveiraFederal University of Catalão (UFCAT), Institute of Chemistry, Av. Dr. Lamartine Pinto de Avelar, 1120, Catalão, Goiás 75704-020, Brazil.
James Michael SilvaFederal University of Catalão (UFCAT), Institute of Chemistry, Av. Dr. Lamartine Pinto de Avelar, 1120, Catalão, Goiás 75704-020, Brazil.
Eduarda Garcia SantanaFederal University of Catalão (UFCAT), Institute of Chemistry, Av. Dr. Lamartine Pinto de Avelar, 1120, Catalão, Goiás 75704-020, Brazil.
Wallace Henrique Cardoso PeresFederal University of Catalão (UFCAT), Institute of Chemistry, Av. Dr. Lamartine Pinto de Avelar, 1120, Catalão, Goiás 75704-020, Brazil.
Weida Rodrigues SilvaFederal University of Catalão (UFCAT), Institute of Chemistry, Av. Dr. Lamartine Pinto de Avelar, 1120, Catalão, Goiás 75704-020, Brazil.ORCID https://orcid.org/0000-0003-1886-3720
João Flávio da Silveira PetruciFederal University of Uberlãndia (UFU), Institute of Chemistry, Av. João Naves de Ávila 2121, Uberlândia, Minas Gerais 38408-100, Brazil.ORCID https://orcid.org/0000-0003-1121-2503
Vanessa Nunes AlvesFederal University of Catalão (UFCAT), Institute of Chemistry, Av. Dr. Lamartine Pinto de Avelar, 1120, Catalão, Goiás 75704-020, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Iron-(III) contamination in gasoline, originating from production or storage, compromises fuel quality and engine performance by catalyzing oxidation reactions, promoting gum and sediment formation, and accelerating engine wear. Accurate monitoring of this contaminant is, therefore, essential for ensuring fuel stability and extending engine lifespan. Conventional analytical methods, such as Atomic Absorption Spectroscopy, although highly reliable, demand sophisticated instrumentation and labor-intensive sample preparation. In this study, a sustainable and innovative approach is proposed by combining extraction induced by microemulsion breaking (EIMB) with digital image analysis (DIA) for the determination of iron in gasoline. Exploiting the ethanol naturally present in Brazilian gasoline, microemulsions are formed without the use of surfactants, thereby simplifying the procedure and minimizing reagent consumption. Experimental conditions were optimized through a complete 2

Identifiers

PMID41427171
PMCPMC12713479

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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.