Evidence map›Paper›PMID 40666413›Full record

ArticleRSC advances2025

Enhancing anti-pilling performance of wool knitted fabrics

Qi Xiao, Yuhan Wang, Wen Chen, Zhe Gao, Jing Qu, Jiajia Peng, Jiru Jia, Weifu Wang, Hafsa Jamshaid

Abstract read
In one paragraph

Article in RSC advances, 2025. 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

9 authors.

Qi XiaoSchool of Textile Garment and Design, Suzhou University of Technology Changshu Jiangsu 215500 China xiaoqi223638@163.com.ORCID https://orcid.org/0000-0002-5515-1514
Yuhan WangSchool of Textile Garment and Design, Suzhou University of Technology Changshu Jiangsu 215500 China xiaoqi223638@163.com.
Wen ChenSchool of Textile Garment and Design, Suzhou University of Technology Changshu Jiangsu 215500 China xiaoqi223638@163.com.
Zhe GaoSchool of Textile Science and Engineering, Tiangong University Tianjin 300387 China zgview@hotmail.com.
Jing QuSchool of Textile Garment and Design, Suzhou University of Technology Changshu Jiangsu 215500 China xiaoqi223638@163.com.
Jiajia PengSchool of Textile Garment and Design, Suzhou University of Technology Changshu Jiangsu 215500 China xiaoqi223638@163.com.
Jiru JiaSchool of Textile Garment and Design, Suzhou University of Technology Changshu Jiangsu 215500 China xiaoqi223638@163.com.
Weifu WangSchool of Textile Garment and Design, Suzhou University of Technology Changshu Jiangsu 215500 China xiaoqi223638@163.com.
Hafsa JamshaidSchool of Engineering and Technology, National Textile University Pakistan Hafsa@ntu.edu.pk.ORCID https://orcid.org/0000-0002-4591-0812

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pilling of wool knitted fabrics during wearing or washing has long been a persistent and challenging issue. Conventionally, most anti-pilling treatments are either environmentally unfriendly or cause substantial damage to the internal structure of wool. This study adopts dopamine cross-linking silk sericin to modify wool knitted fabrics. The effects of dopamine concentration, silk sericin concentration, and cross-linking reaction time on wool fiber scale parameters (fiber friction coefficient, crimp ratio, and crimp recovery rate), anti-pilling properties, air and moisture permeability, heat retention, and mechanical properties of wool knitted fabrics were investigated. Based on the synergistic effect between dopamine and silk sericin, the wool scales were effectively encapsulated, thereby reducing the directional friction effect. Optimal conditions were identified as 1 mg mL

Identifiers

PMID40666413
PMCPMC12260831

What OpenQuestion holds

Textmetadata
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.