Evidence map›Paper›PMID 34844332›Full record

ArticleThe Science of the total environment2022

Laundering of face masks represents an additional source of synthetic and natural microfibers to aquatic ecosystems.

Beatrice De Felice, Stefano Antenucci, Marco Aldo Ortenzi, Marco Parolini

Abstract read
In one paragraph

Article in The Science of the total environment, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
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

9 citing papers in PubMed.

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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

4 authors.

Beatrice De FeliceDepartment of Environmental Science and Policy, University of Milan, via Celoria 26, I-20133 Milan, Italy.
Stefano AntenucciLaboratory of Materials and Polymers (LaMPo), Department of Chemistry, University of Milan, via Golgi 19, I-20133 Milan, Italy.
Marco Aldo OrtenziLaboratory of Materials and Polymers (LaMPo), Department of Chemistry, University of Milan, via Golgi 19, I-20133 Milan, Italy.
Marco ParoliniDepartment of Environmental Science and Policy, University of Milan, via Celoria 26, I-20133 Milan, Italy. Electronic address: marco.parolini@unimi.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

From the onset of Covid-19 pandemic, the use of face masks has been adapted as one of the main measures to slow down the transmission of the SARS-CoV-2 virus worldwide. The inadequate handling and management of face masks lead to a massive dispersal in the environment, resulting in a new source of microfibers because of their breakdown and/or degradation. In addition, the laundering of reusable face masks of different polymeric composition can represent an additional sources of microfibers to natural ecosystems, but it was largely neglected. The present study explored the release of synthetic or natural microfibers from reusable and disposable face masks of five different fabrics when subjected to a cycle of laundering in a domestic washing machine. After a single wash, face masks released an average (± SE) of 284.94 ± 73.66 microfibers, independently of the fabrics. Focusing on the fabrics composing the face masks, polyurethane (541.33 ± 51.84 microfibers) and cotton-based (823.00 ± 112.53 microfibers) face masks released the highest amount of synthetic and natural microfibers, respectively. Considering the crucial role of face masks to counteract the pandemic and the increasing trend of their use, further studies represent a priority to estimate the contribution of face mask-derived microfibers to freshwater contamination.

Indexed as

COVID-19LaunderingEcosystemHumansMasksPandemicsSARS-CoV-2Covid-19Face masksMicrofibersWashing cycle

Identifiers

PMID34844332
PMCPMC8457919

What OpenQuestion holds

Textmetadata
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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.