Evidence map›Paper›PMID 41765974›Full record

ArticleScientific reports2026

A novel methodology to study the release of fragmented fibres, including microplastics, in laboratory washing conditions.

Ángel Palacios-Marín, Alma Victoria Palacios-Marín, Muhammad Tausif, Wernher Brevis

Abstract read
In one paragraph

Article in Scientific reports, 2026. 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
–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

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

4 authors.

Ángel Palacios-MarínDepartment of Hydraulic and Environmental Engineering, Escuela de Ingeniería, Pontificia Universidad Católica de Chile, Santiago, Chile.
Alma Victoria Palacios-MarínSchool of Design, University of Leeds, Leeds, UK.
Muhammad TausifSchool of Design, University of Leeds, Leeds, UK.
Wernher BrevisDepartment of Hydraulic and Environmental Engineering, Escuela de Ingeniería, Pontificia Universidad Católica de Chile, Santiago, Chile. wbrevis@uc.cl.

Funding

Engineering and Physical Sciences Research Council, United Kingdom EP/T024542/1
6 · The paper itself

Abstract

Fragmented fibres, including fibrous microplastics, are increasingly recognised as a major pollutant originating from textile laundering. While many studies have quantified fibre release, the mechanisms underlying fibre fragmentation and detachment remain poorly understood, partly due to the lack of techniques to capture fibre-flow interactions under controlled conditions. This study introduces a novel methodology for the simultaneous characterisation of turbulent flow and textile fibre dynamics under simulated washing conditions. The approach combines a Von Kármán Swirling Flow apparatus, which generates reproducible shear and turbulence, with dual high-speed imaging to record both the fluid, analysed using Particle Image Velocimetry, and the fibres, analysed using optical flow. Proof-of-concept experiments with polyester and cotton yarns demonstrate that the method can capture fibre motion, deformation, and protrusion in synchrony with surrounding flow fields. A Reynolds number definition for top- and front-loading washing machines is also proposed, providing a basis for comparing washing conditions. This reproducible, non-invasive framework establishes a foundation for systematic investigations of fibre behaviour during laundering by providing mechanistic insight into fibre breakage and release processes that underpin textile-derived pollution, which is not covered by existing gravimetric methods that quantify mass release from textiles.

Indexed as

Fragmented FibresMicroplasticsParticle Image VelocimetryReynolds numberTextile fibresWashing machine

Identifiers

PMID41765974
PMCPMC13057226

What OpenQuestion holds

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Registered trials

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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.