Evidence map›Paper›PMID 36156154›Full record

ArticleEnvironmental monitoring and assessment2022

Possible influence of shipping emissions on metals in size-segregated particulate matter in Guanabara Bay (Rio de Janeiro, Brazil).

Renata S Silveira, Sergio M Corrêa, Newton de M Neto

Open access · bronzeAbstract read
In one paragraph

Article in Environmental monitoring and assessment, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.8field-weighted citation impact, top 33% 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

1 citing paper in PubMed, 10 citations in OpenAlex.

  1. Article
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

3 authors at 1 institution in 1 country.

Renata S SilveiraRio de Janeiro State University, Faculty of Engineering, Rua São Francisco Xavier, 524, Maracanã, Rio de Janeiro, RJ, Brazil, 20551-013.
Sergio M CorrêaRio de Janeiro State University, Faculty of Engineering, Rua São Francisco Xavier, 524, Maracanã, Rio de Janeiro, RJ, Brazil, 20551-013. sergiomc@uerj.br.ORCID http://orcid.org/0000-0002-0038-0790
Newton de M NetoRio de Janeiro State University, Faculty of Geography/IGEOG/LABMODEL, Rua São Francisco Xavier, 524, Maracanã, Rio de Janeiro, RJ, Brazil, 20550-013.
Universidade do Estado do Rio de Janeiro · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the world of growing maritime fleets, ships powered by fossil fuels are being widely used that are responsible for atmospheric emissions such as particulate matter (PM). When inhaled, these can cause serious injury to the body and affect internal organs, because the particle size is on a tiny scale. The International Convention for the Prevention of Pollution from Ships (MARPOL) regulates the standards for emissions from marine diesel engines. However, although they pose risks to human health and the environment, the metals present in PM are not covered by Brazilian national current legislation. This study is based on the results of sampling of PM in the atmosphere of Guanabara Bay, Rio de Janeiro, Brazil, by means of the MOUDI cascade impactor, followed by acid opening of the collected PM and subsequent chemical analysis by ICP-MS for the determination of Ba, Ca, Cd, Co, Cu, Cr, Fe, Mg, Mn, Ni, Pb, V, and Zn. In coarse particles, the mean values ranged from 0.11 ng m

Indexed as

Air PollutantsParticulate MatterBaysBrazilCadmiumEnvironmental MonitoringFossil FuelsHumansLeadParticle SizeShipsAir PollutantsCadmiumFossil FuelsLeadParticulate MatterAir pollutionEmissionsICP-MSMetalsParticulate matterShips

Identifiers

PMID36156154
PMCPMC9510154
OpenAlexW4297199608

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.