Evidence map›Paper›PMID 35797811›Full record

ArticleMarine pollution bulletin2022

Cross-contamination by COVID-19 mask microfibers during microlitter analysis of marine biota.

Michele Torre, Maria Eleni Kafritsa, Aikaterini Anastasopoulou

Open access · greenAbstract read
In one paragraph

Article in Marine pollution bulletin, 2022. 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
0.4field-weighted citation impact, top 49% 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

0 citing papers in PubMed, 8 citations in OpenAlex.

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

3 authors at 1 institution in 1 country.

Michele TorreHellenic Center for Marine Research, Institute of Marine Biological Resources and Inland Water, 46.7 Km Athens Sounio, Mavro Lithari, P.O. Box 19013, Anavissos, Attica, Greece. Electronic address: torrem@hcmr.gr.
Maria Eleni KafritsaHellenic Center for Marine Research, Institute of Marine Biological Resources and Inland Water, 46.7 Km Athens Sounio, Mavro Lithari, P.O. Box 19013, Anavissos, Attica, Greece.
Aikaterini AnastasopoulouHellenic Center for Marine Research, Institute of Marine Biological Resources and Inland Water, 46.7 Km Athens Sounio, Mavro Lithari, P.O. Box 19013, Anavissos, Attica, Greece.
Hellenic Centre for Marine Research · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Face masks have been adopted as an essential measure to prevent transmission and spread of the virus infection during the pandemic of Covid-19. The present study evaluates the potential microfibers transfer from face masks to other recipients and the potential cross-contamination of samples by microfibers released from masks worn during the analysis of microlitter ingestion by fish. Results indicated that masks could easily transfer endogenous (originated from the mask tissue itself) and exogenous microfibers (with a different origin than the mask tissue itself) to other recipients (adhesive tape and air in our experiment). Exogenous fibers may be carried from everywhere and potentially released everywhere. Microfibers are also released into the air, driven by the airflow generated by breathing, and can be transferred to blanks and samples. Microfiber contamination by facial masks increases the risk of samples cross-contamination and raises concerns about the results reliability of the microlitter analysis on marine biota.

Indexed as

COVID-19AnimalsBiotaFishesPandemicsReproducibility of ResultsCovid-19Cross-contaminationFace masksMarine biotaMicrofibersMicroplastics

Identifiers

PMID35797811
PMCPMC9252514
OpenAlexW4283821907

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.