Evidence map›Paper›PMID 42315555›Full record

ArticleScientific reports2026

Comprehensive assessment of fragmented fiber shedding from recycled cotton textiles. Part III integrated qualitative and quantitative assessment of released fibers and particles from woven textiles.

Gabriela Krupincová, Mercedes Pereira

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.

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0citing papers in PubMed
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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

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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

2 authors.

Gabriela KrupincováDepartment of Technologies and Structures, Faculty of Textile Engineering, Technical University of Liberec, Studentská 2, 461 17, Liberec 1, Czech Republic. gabriela.krupincova@tul.cz.ORCID https://orcid.org/0000-0002-7529-9268
Mercedes PereiraCentro de Investigacións en Tecnoloxías Navais E Industriais, Universidade da Coruña, Campus Industrial de Ferrol, 15403, Ferrol, Spain.ORCID http://orcid.org/0000-0002-9515-8518

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fragmented fiber release from textiles represents a growing environmental concern, particularly for systems containing recycled cotton. This study presents the third integrative stage of a systematic investigation linking fiber quality, yarn parameters, and woven fabric construction to the emission of fiber fragments and particulate matter during repeated laundering. Three mechanically recycled cotton blends (B, C, D) were processed into 29.5 tex rotor-spun weft yarns and woven with high-quality Egyptian combed cotton warps under industrial conditions. For all yarn variants, two dye shades (light and dark) were applied to introduce controlled color patterning in warp and weft directions of the woven structure. Fabrics underwent five simulated laundering cycles using the AHIBA apparatus under intensified mechanical agitation conditions, and released contaminants were quantified using image analysis.The number and size of released impurities were evaluated. Feret-based descriptors were used to characterize particle types, classified into two subgroups (dust and trash). Fiber-type impurities were further categorized into individual fiber fragments and bundles. Fiber fragment length was evaluated, as well as the maximum representative lengths of fiber structures using skeleton-based analysis. Results indicate that weft yarn quality and yarn state (gray vs. dyed) affect the number and morphology of released impurities. Fabrics containing highly contaminated yarns (type B) showed the highest initial shedding, while subsequent cycles showed a decrease in readily detachable material and progressive fiber fatigue and fibrillation. Individual fiber fragments were categorized into ultrashort, short, and long subgroups. Statistically significant differences among experimental groups were confirmed by Kruskal-Wallis tests (p < 0.001).The estimated representative maximum lengths of fiber fragments (3,044 µm for l

Indexed as

Fragmented fiber analysisImage analysisReused cotton fibersRotor cotton spun yarnWoven fabric

Identifiers

PMID42315555
PMCPMC13550634

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