Evidence map›Paper›PMID 42414823›Full record

ArticleEnvironmental science and pollution research international2026

Short-term depuration reduces the levels of microplastics of a commercial mussel from Eastern Amazon.

João Marcos Santos Rodrigues, Antonio Elivelton Paiva de Oliveira, Lilian Lund Amado, Jessica Dipold, Niklaus Ursus Wetter, Anderson Zanardi Freitas, Maria Auxiliadora Pantoja Ferreira, Rossineide Martins da Rocha

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Article in Environmental science and pollution research international, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

João Marcos Santos RodriguesLaboratory of Cellular Ultrastructure, Institute of Biological Sciences, Federal University of Pará, Belém, Brazil. joao.santos.rodrigues@icb.ufpa.br.ORCID http://orcid.org/0009-0003-2457-413X
Antonio Elivelton Paiva de OliveiraLaboratory of Immunohistochemistry and Developmental Biology, Institute of Biological Sciences, Federal University of Pará, Belém, Brazil.
Lilian Lund AmadoLaboratory of Ecotoxicology, Institute of Biological Sciences, Federal University of Pará, Belém, Brazil.
Jessica DipoldCentre for Lasers and Applications, National Institute of Energetic and Nuclear Research, São Paulo, Brazil.
Niklaus Ursus WetterCentre for Lasers and Applications, National Institute of Energetic and Nuclear Research, São Paulo, Brazil.
Anderson Zanardi FreitasCentre for Lasers and Applications, National Institute of Energetic and Nuclear Research, São Paulo, Brazil.
Maria Auxiliadora Pantoja FerreiraLaboratory of Immunohistochemistry and Developmental Biology, Institute of Biological Sciences, Federal University of Pará, Belém, Brazil.
Rossineide Martins da RochaLaboratory of Cellular Ultrastructure, Institute of Biological Sciences, Federal University of Pará, Belém, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Consumption of contaminated shellfish can be a pathway of human exposure to microplastics (MPs). Depuration is a treatment step that can effectively reduce the particle content of bivalves; however, this technique is not yet employed for mussels sold in the Eastern Amazon coast, in Brazil. Hence, this study aimed to verify the efficacy of 24 h, 48 h, and 72 h depurations in reducing the MP concentrations of the native mussel Mytella guyanensis. A total of 176 MPs were observed among fibers, fragments, and pellets, with black and blue fibers being predominant, followed by blue fragments. Non-depurated mussels had a significantly higher concentration of MPs per gram of edible weight than mussels from all depuration periods (1.31 ± 1.19 MPs/g). Meanwhile, in the concentration per individual non-depurated mussels (2.17 ± 1.04 MPs/ind) had a significantly higher contamination than mussels depurated for 48 h (1.33 ± 0.67 MPs/ind) and 72 h (0.90 ± 0.78 MPs/ind). Dyed fibers and fragments represented most of the observed MPs (58%), followed by microplastics of different polymers (25%), and cellulose (16%). Among dyes, the textile pigment Indigo and general use phthalocyanines were the most common findings, while PP was the most common microplastic. Our results reveal ample contamination by MPs in mussels that supply markets in the region. Therefore, we infer that depuration is an effective way of reducing the particle content of M. guyanensis, with the potential to reduce the human MP intake by 55-58%, considering a 72-h depuration.

Indexed as

BivalviaMicroplasticsWater Pollutants, ChemicalAnimalsBrazilEnvironmental MonitoringHumansShellfishMicroplasticsWater Pollutants, ChemicalBivalvesDepurationDyesHuman ingestionMicroplasticsTextile fibers

Identifiers

PMID42414823
PMCPMC13368857

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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.