Evidence map›Paper›PMID 41866592›Full record

ArticleScientific reports2026

Performance of woven fabrics for absorbent applications.

Wael A Hashima, Manar Y Abd El-Aziz, Mohamed Hakam, Eman Mustafa

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.

Wael A HashimaTextile Engineering Department, Faculty of Engineering, Alexandria University, Alexandria, Egypt.
Manar Y Abd El-AzizClothing and Knitting Industrial Research Department, Textile Research and Technology Institute, National Research Centre, 33 EL Bohouth st. (Former EL Tahrir st.), P.O.12622, Dokki, Giza, Egypt. manar_yahia@hotmail.com.
Mohamed HakamTextile Engineering Department, Faculty of Engineering, Alexandria University, Alexandria, Egypt.
Eman MustafaTextile Department, Faculty of Technology and Education, Suez University, Suez, Egypt.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigates the performance of woven fabrics developed using modified cotton fabric, where the weft yarns consist of roving and the warp yarns are conventional spun yarns, aiming to enhance absorbency and moisture transport properties in functional absorbent textile products. Two weave structures - plain and twill - were produced with varying weft densities of 5, 7, and 9 picks/cm, using roving yarns with a yarn count of Ne 1.1 in the weft direction. A comprehensive set of standard tests was conducted, including air permeability, thermal conductivity, abrasion resistance, pilling grades, tensile strength, dimensional stability, fabric friction, fabric roughness, and moisture management performance. Two-way ANOVA was used to examine the relationships between fabric structure, pick density, and the measured performance properties, while a radar chart was employed to evaluate and compare the samples by integrating their physical, mechanical, and tactile characteristics. T9 (Twill – 9 picks/cm) ranked as the top-performing sample, followed by P9 (Plain – 9 picks/cm) and T5 (Twill – 5 picks/cm). However, based on moisture-management indicators, specifically the One-Way Transport Index (905.2%) and Overall Moisture Management Capacity (0.98), T5 showed the highest absorption efficiency, T5 optimizes moisture functionality, illustrating a trade-off between mechanical/tactile properties and moisture-management performance.

Indexed as

Absorbent textilesCotton woven fabricsMoisture managementRovingWeft yarn

Identifiers

PMID41866592
PMCPMC13009230

What OpenQuestion holds

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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.