Evidence map›Paper›PMID 42076317›Full record

ArticlePolymers2026

Washability and Electrical Performance Evaluation of Jacquard Conductive Knitted Fabrics Based on Fuzzy Comprehensive Assessment.

Su Liu, Wei Wang, Hui Yang, Jun Wu

Abstract read
In one paragraph

Article in Polymers, 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.

Su LiuSchool of Future Design, Shanghai Institute of Visual Arts, Shanghai 201620, China.ORCID 0000-0002-4069-1032
Wei WangSchool of Future Design, Shanghai Institute of Visual Arts, Shanghai 201620, China.
Hui YangSchool of Textile and Clothing, Shanghai University of Engineering Science, Shanghai 201620, China.
Jun WuSchool of Future Design, Shanghai Institute of Visual Arts, Shanghai 201620, China.

Funding

Research Project of Humanities and Social Sciences of the Ministry of Education, China 22YJCZH108
6 · The paper itself

Abstract

This study presents a systematic evaluation of 2-layer conductive Jacquard knitted fabrics with a birdseye backing designed for wearable electronic applications. Three sets of samples with 9 different proportions of conductive yarn (27 samples) are designed on a computerized flat-knitting machine, and three indicators (conductive yarn usage ratio, resistance change ratio after washing, and temperature variation) are examined. The 2-layer Jacquard structure enables conductive yarns to form loops on both the technical face and back, thus producing continuous and interlocked conductive pathways. The experimental results show that the proportions of pattern dots for the conductive yarns determine the amount of conductive yarn used in a 2-layer Jacquard structure with the same technical parameters. For the samples with 10-90% pattern dots, the conductive yarn consumption ratio ranges from 34.80% to 65.18%. After 10 washes, resistance change ratio ranges from 27.66~55.54%, which show a moderate electrical stability. After 10 washes, the heating temperature increases by 15.6 to 19.67 °C, which show good thermal properties. Finally, a fuzzy logic evaluation is conducted with objective indicator weights. The findings provide quantitative evidence for the material-structure integration of conductive knitted textiles and support their potential for applications in next-to-skin smart garments.

Indexed as

comprehensive evaluationcomprehensive fuzzy logic methodelectrical performanceJacquard conductive knitted fabricswashing

Identifiers

PMID42076317
PMCPMC13119743

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.