Evidence map›Paper›PMID 41470988›Full record

ArticlePolymers2025

Chitosan-Branched Polyethyleneimine Hybrid Cationic Layer as an Effective Solution Towards Fire Vulnerability of Cotton Fabric.

Hamid Hassan, Zeeshan Ur Rehman, Jin Doo Yoon, Seung Woo Park, Bon Heun Koo

Abstract read
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

5 authors.

Hamid HassanDepartment of Materials Convergence and System Engineering, Changwon National University, Changwon 51140, Gyeongsangnam-do, Republic of Korea.
Zeeshan Ur RehmanDepartment of Materials Convergence and System Engineering, Changwon National University, Changwon 51140, Gyeongsangnam-do, Republic of Korea.
Jin Doo YoonDongjin Metal Co., Ltd., Changwon 51560, Gyeongsangnam-do, Republic of Korea.
Seung Woo ParkDongjin Metal Co., Ltd., Changwon 51560, Gyeongsangnam-do, Republic of Korea.
Bon Heun KooDepartment of Materials Convergence and System Engineering, Changwon National University, Changwon 51140, Gyeongsangnam-do, Republic of Korea.ORCID 0000-0003-2867-056X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The traditional acid-based production method was often utilized to produce flame-retardant material, which is environmentally hazardous and adversely affects the intrinsic properties of the substrates. To address these critical challenges, this work was carried out to develop a pioneer flame-retardant composite material based on cotton and biocompatible hybrid cationic/anionic species deposited through the Layer-by-Layer deposition method. The FTIR results unveil the peaks reflected by coated elements, confirm the successful deposition of coating materials on the cotton substrate. The microstructure and uniform deposition of the coating were analyzed through scanning electron microscopy. The thermal stability of the composites is enhanced with higher coating layers due to the formation of a protective char layer. Flame retardancy of the investigated samples is measured through the vertical flame test and micro-combustion calorimetry method, exhibiting remarkable reduction in peak heat release rate and total heat released rate by 47.30% and 34%, respectively. The acquired results acknowledge the suitability of the production method to produce green fire-retardant materials with excellent thermal stability and flame retardancy to utilize in the fire-resistant industry.

Indexed as

cottoneco-friendlyfire retardantlayer by layer (LbL) methodmontmorillonite claythermal properties

Identifiers

PMID41470988
PMCPMC12737242

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.