Evidence map›Paper›PMID 38965403›Full record

ArticleScientific reports2024

Influence of knot strength on the mechanical performance of a biodegradable gillnet.

Louis Le Gué, Esther Savina, Mael Arhant, Peter Davies, Nicolas Dumergue, Benoit Vincent

Abstract read
In one paragraph

Article in Scientific reports, 2024. 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
–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

1 citing paper in PubMed.

  1. Sustainable fishing.Scientific reports · 2026
    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

6 authors.

Louis Le GuéIfremer, RDT Research and Technological Development, 29280, Plouzané, France. louis.le.gue@ifremer.fr.ORCID 0009-0002-5200-5842
Esther Savina *Section for Fisheries Technology, DTU Aqua, 9850, Hirtshals, Denmark.
Mael Arhant *Ifremer, RDT Research and Technological Development, 29280, Plouzané, France.
Peter Davies *Ifremer, RDT Research and Technological Development, 29280, Plouzané, France.
Nicolas DumergueIfremer, RDT Research and Technological Development, 29280, Plouzané, France.
Benoit VincentInstitut Agro, IFREMER, INRAE, DECOD, 56325, Lorient, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ghost fishing is a global issue that can be addressed using fishing gear materials that do not persist in the marine environment. However, for these alternatives to be widely adopted, they must meet the same mechanical specifications as current commercial materials while degrading without any negative impact. The objective of this study was to compare a conventional gillnet made of polyamide 6 (PA6) with an alternative made of poly(butylene succinate-co-adipate-co-terephthalate) (PBSAT) at three different scales: monofilament, knot, and net. While the PBSAT monofilament's strength was half that of the conventional PA6 net, knot and net losses were even more significant. This indicates a greater sensitivity of the material to the knot. Since the results between the knot and net scales were coherent, testing whole net panels is not necessary. Studying the curvature and the behaviour of the knot revealed its complex geometry and mechanical behaviour. Testing the weaver's knot is a good indicator for studying the relevance of an alternative to conventional fishing gear materials. This should be considered when developing biodegradable nets in order to reduce ghost fishing at sea.

Indexed as

Materials TestingCaprolactamFisheriesPolyestersPolymersTensile StrengthCaprolactamnylon 6poly(butylene adipate-co-butylene terephthalate)PolyestersPolymers

Identifiers

PMID38965403
PMCPMC11224365

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.