Evidence map›Paper›PMID 41536354›Full record

ArticleACS ES&T water2026

Flowing Fibers: Subsurface Sampling Is Key to Understanding Natural and Plastic Textile Fiber Pollution in Rivers.

Harley Nicholls, Catherine Sanders, David B Ryves, Edwin Baynes, Kelly J Sheridan, Thomas Stanton

Abstract read
In one paragraph

Article in ACS ES&T water, 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

6 authors.

Harley NichollsDepartment of Geography and Environment, Loughborough University, Loughborough LE11 3TU, U.K.
Catherine SandersSchool of Natural Sciences, University of Lincoln, Brayford Way, Brayford Pool, Lincoln LN6 7TS, U.K.
David B RyvesDepartment of Geography and Environment, Loughborough University, Loughborough LE11 3TU, U.K.
Edwin BaynesDepartment of Geography and Environment, Loughborough University, Loughborough LE11 3TU, U.K.
Kelly J SheridanDepartment of Applied Sciences, Faculty of Health and Life Sciences, Northumbria University, Newcastle Upon Tyne NE1 8ST, U.K.
Thomas StantonDepartment of Geography and Environment, Loughborough University, Loughborough LE11 3TU, U.K.ORCID https://orcid.org/0000-0001-9097-8739

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is a pressing need to understand the pathways of textile fibers as anthropogenic pollutants in the environment. Current efforts to understand textile fiber pollution in waterways have relied on surface-sampling methodologies without consideration for environmental heterogeneity. Moreover, how nonplastic textile fibers behave in the environment is not known. Here, for the first time, we experimentally quantify the role that fiber type (cotton, wool, polyester, and acrylic) and riverbed roughness (flat, fine gravel, and coarse gravel) have on the vertical distribution of transported fibers using an experimental, recirculating flume. Analysis of the vertical profile distributions of 18,793 cotton, wool, polyester, and acrylic fibers indicated that bed substrate significantly altered fiber transport pathways, which was consistent across all tested fiber types. Our findings indicate that surface-only sampling will substantially under-record fiber fluxes, but such biases did not differ between any tested fiber types. Our findings provide key insights into fiber/bed interactions and transport pathways and imply that current monitoring methodologies significantly underestimate lotic (and potentially lentic) populations of fibers. We argue that it is crucial to sample for all fiber types, throughout the water column in all riverbed types, to understand fully the scale of riverine textile fiber pollution.

Indexed as

aquatic pollutionexperimental flumemicrofibersmicroplastic methodsmicroplastic monitoringmicroplastic transportnatural fiberstextile fibers

Identifiers

PMID41536354
PMCPMC12797243

What OpenQuestion holds

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LicenceCC BY
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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.