Evidence map›Paper›PMID 40508740›Full record

ArticlePolymers2025

Cashmere Blended with Calcium Alginate Fibers: Eco-Friendly Improvement of Flame Retardancy and Maintenance of Hygroscopicity.

Yujie Cai, Zewen Li, Bin Wang, Chao Xu, Xing Tian, Fengyu Quan

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Polymers, 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

6 authors.

Yujie CaiState Key Laboratory of Bio-Fibers and Eco-Textiles, Institute of Marine Bio-based Materials, College of Materials Science and Engineering, Qingdao University, Qingdao 266071, China.
Zewen LiState Key Laboratory of Bio-Fibers and Eco-Textiles, Institute of Marine Bio-based Materials, College of Materials Science and Engineering, Qingdao University, Qingdao 266071, China.
Bin WangState Key Laboratory of Bio-Fibers and Eco-Textiles, Institute of Marine Bio-based Materials, College of Materials Science and Engineering, Qingdao University, Qingdao 266071, China.
Chao XuState Key Laboratory of Bio-Fibers and Eco-Textiles, Institute of Marine Bio-based Materials, College of Materials Science and Engineering, Qingdao University, Qingdao 266071, China.
Xing TianState Key Laboratory of Bio-Fibers and Eco-Textiles, Institute of Marine Bio-based Materials, College of Materials Science and Engineering, Qingdao University, Qingdao 266071, China.ORCID 0000-0003-3706-326X
Fengyu QuanState Key Laboratory of Bio-Fibers and Eco-Textiles, Institute of Marine Bio-based Materials, College of Materials Science and Engineering, Qingdao University, Qingdao 266071, China.

Funding

State Key Laboratory of Bio-Fibers and Eco-Textiles ZKT12
6 · The paper itself

Abstract

As a natural fiber, cashmere is favored for its softness, finesse, and warmth. However, its poor flame-retardant properties seriously affect the safety of cashmere. Current flame-retardant treatments for cashmere tend to lead to heavy metal pollution and significantly reduce wearer comfort. In this work, natural and environmentally friendly calcium alginate fibers were blended with cashmere to obtain blended fibers. The blended fibers exhibited good hygroscopicity and softness. The incorporation of calcium alginate fibers enhanced the flame retardancy of the blends, and the LOI of the blended fibers reached 40.2 without smoldering. It was due to a stable CaO protective layer formed by Ca

Indexed as

calcium alginate fibercashmereflame retardancyhygroscopicity

Identifiers

PMID40508740
PMCPMC12157917

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.