Evidence map›Paper›PMID 42864479›Full record

ArticleEnvironmental monitoring and assessment2026

Development of a short and sensitive QuEChERS-SPE-GC-MS method for polycyclic aromatic hydrocarbon (PAH) biomonitoring in Perna perna (Linnaeus, 1758) mussels from an oil-impacted tropical estuary.

Júlia Vianna de Pinho, Letícia Tessaro, Pamella Talita Silva Melo, Jelmir Craveiro de Andrade, Michael Ribas Celano, Paloma de Almeida Rodrigues, Antonio Eugênio Castro Cardoso de Almeida, Rachel Ann Hauser-Davis, Carlos Adam Conte-Junior

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In one paragraph

Article in Environmental monitoring and assessment, 2026. 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
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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

9 authors.

Júlia Vianna de PinhoNational Institute of Health Quality Control, Oswaldo Cruz Foundation, Rio de Janeiro, RJ, 21040900, Brazil. juliaviannaap@gmail.com.ORCID http://orcid.org/0000-0003-3148-0273
Letícia TessaroCenter for Food Analysis (NAL), Technological Development Support Laboratory (LADETEC), Federal University of Rio de Janeiro (UFRJ), Cidade Universitária, Rio de Janeiro, RJ, 21941-598, Brazil.
Pamella Talita Silva MeloCenter for Food Analysis (NAL), Technological Development Support Laboratory (LADETEC), Federal University of Rio de Janeiro (UFRJ), Cidade Universitária, Rio de Janeiro, RJ, 21941-598, Brazil.
Jelmir Craveiro de AndradeCenter for Food Analysis (NAL), Technological Development Support Laboratory (LADETEC), Federal University of Rio de Janeiro (UFRJ), Cidade Universitária, Rio de Janeiro, RJ, 21941-598, Brazil.
Michael Ribas CelanoLaboratory of Ecophysiology and Toxicology of Cyanobacteria, Carlos Chagas Filho Biophysics Institute, Federal University of Rio de Janeiro, Rio de Janeiro, 21949-902, Brazil.
Paloma de Almeida RodriguesCenter for Food Analysis (NAL), Technological Development Support Laboratory (LADETEC), Federal University of Rio de Janeiro (UFRJ), Cidade Universitária, Rio de Janeiro, RJ, 21941-598, Brazil.
Antonio Eugênio Castro Cardoso de AlmeidaNational Institute of Health Quality Control, Oswaldo Cruz Foundation, Rio de Janeiro, RJ, 21040900, Brazil.
Rachel Ann Hauser-DavisFundação Oswaldo Cruz, Instituto Oswaldo Cruz, Laboratório de Avaliação E Promoção da Saúde Ambiental, Rio de Janeiro, RJ, Brazil. rachel.hauser.davis@gmail.com.
Carlos Adam Conte-JuniorNational Institute of Health Quality Control, Oswaldo Cruz Foundation, Rio de Janeiro, RJ, 21040900, Brazil. carlosconte@hotmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The 2019 oil spill in Guanabara Bay, among the most significant in Brazilian history, has reinforced how persistently PAHs move through food webs significant to artisanal fishing communities. However, low-cost tools for tracking these contaminants in key sentinel species, such as bivalves, remain scarce, especially for matrices that resist conventional extraction protocols. In this sense, this study developed a dual-extraction method combining Quick, Easy, Cheap, Effective, Rugged and Safe (QuEChERS) and solid-phase extraction (SPE) clean-up to quantify multiple PAHs in Perna perna mussels sampled from Guanabara Bay, Brazil overcoming matrix interference to deliver faster, cheaper and more actionable contamination data for a subsistence food source. A total of 210 mussels were collected across four artisanal fishing communities in Guanabara Bay, a socially and ecologically critical estuary, 2 to 3 years after the spill. The method achieved strong linearity (r

Indexed as

Biological MonitoringEnvironmental MonitoringPernaPetroleum PollutionPolycyclic Aromatic HydrocarbonsWater Pollutants, ChemicalAnimalsBrazilEstuariesGas Chromatography-Mass SpectrometrySolid Phase ExtractionPolycyclic Aromatic HydrocarbonsWater Pollutants, ChemicalBioindicatorEstuarine bayGreen analytical chemistryMatrix-matched calibrationPolycyclic aromatic hydrocarbons (PAHs)Pyrogenic sources

Identifiers

PMID42864479
PMCPMC13658369

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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.