Evidence map›Paper›PMID 38403825›Full record

ArticleEnvironmental science and pollution research international2024

What do we know about plastic pollution in Brazilian aquatic ecosystems?

Leticia Carneiro Ferreira, Juliana Souza Azevedo

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Article in Environmental science and pollution research international, 2024. 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

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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

2 authors.

Leticia Carneiro FerreiraInstitute of Environmental, Chemical and Pharmaceutical Sciences, Federal University of São Paulo, São Nicolau Street, 210, Centro, Diadema, Brazil.ORCID https://orcid.org/0000-0002-3808-062X
Juliana Souza AzevedoInstitute of Environmental, Chemical and Pharmaceutical Sciences, Federal University of São Paulo, São Nicolau Street, 210, Centro, Diadema, Brazil. juliana.azevedo@unifesp.br.ORCID http://orcid.org/0000-0002-8231-9669

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Due to the increasing use and inadequate disposal of plastic by humans, aquatic environments have become receptacles for pollutants such as plastic. This study aimed to perform an analysis of plastic particles pollution in Brazilian aquatic ecosystems with special attention to inland aquatic environments and fish in order to identify information gaps in this field. Manuscripts published in the last 21 years and indexed in the Web of Science database were consulted. A total of 185 met the proposed inclusion criteria, such as having empirical data, being conducted in Brazil, and dealing with plastic pollution. In general, the number of studies increases over the years, and this increasing number of publications is accompanied by declared financial support; the Southeast and Northeast regions are the regions that publish the most on the topic, with São Paulo, Rio de Janeiro, and Pernambuco being the main states; the main focus of the studies is the detection of plastic particles mainly in biota (51%) and sediment (34%), and the most frequent ecosystem is the marine (89%); regarding the taxa, the majority is about plastic detection in fish (75%). Only 18% of the papers studying fishes consider their bio-ecological data, and only 17% of the manuscripts carried out the chemical characterization of the particles. However, 99% of the papers considered the shape of the plastic particle. We emphasize the need for more research and grants for studies with Brazilian inland aquatic ecosystems on the effects of plastic particle pollution on freshwater fish. Regional and national research funding agencies are very important to encourage an increase in the number of grants and specific calls for studies on plastic pollution and its impact on freshwater biota, considering the different macro-regions in Brazil, especially in the northern region.

Indexed as

Environmental MonitoringWater Pollutants, ChemicalAnimalsAquatic OrganismsBrazilEcosystemFishesHumansPlasticsPlasticsWater Pollutants, ChemicalAquatic pollutionFishLiterature reviewPlasticScientometrics

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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.