Evidence map›Paper›PMID 41624944›Full record

ReviewRSC advances2026

Fire-resistant polymer composites based on mineral fillers.

F Mustafayeva, N Kakhramanov, Kh Allahverdiyeva, T Babayeva, N Ashurova

Abstract readReview
In one paragraph

Review in RSC advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. New Advances in Elastomer Materials and Its Composites.Materials (Basel, Switzerland) · 2026
    Article
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.

F MustafayevaInstitute of Polymer Materials of Ministry of Science and Education Republic of Azerbaijan Sumgait City AZ5004 Azerbaijan mustafayevafatima@mail.ru fatime.mustafayeva@sdu.edu.az.ORCID https://orcid.org/0000-0002-6117-6216
N KakhramanovInstitute of Polymer Materials of Ministry of Science and Education Republic of Azerbaijan Sumgait City AZ5004 Azerbaijan mustafayevafatima@mail.ru fatime.mustafayeva@sdu.edu.az.
Kh AllahverdiyevaInstitute of Polymer Materials of Ministry of Science and Education Republic of Azerbaijan Sumgait City AZ5004 Azerbaijan mustafayevafatima@mail.ru fatime.mustafayeva@sdu.edu.az.ORCID https://orcid.org/0000-0002-5337-516X
T BabayevaSumgait State University Sumgait City AZ5008 Azerbaijan.
N AshurovaSumgait State University Sumgait City AZ5008 Azerbaijan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This review examines the role of mineral fillers in improving the fire resistance property of polymer composites during combustion. The mechanism of action of mineral filler particles and the nature of changes in the fire resistance of composites depending on the ratio of components in the mixture are considered. The separate and combined effects of natural and modified mineral fillers on the heat resistance and fire resistance of polymer composites are also considered. Mineral fillers such as zeolite, huntite, hydromagnesite, sepiolite, basalt, vermiculite, montmorillonite, perlite, mica, talc, halloysite, kaolin and wollastonite are used to evaluate the flame-retardant properties of composites. Results from different studies on the influence of various types of mineral flame retardants, structural features of the polymer matrix and the composition of composites on the flame-retardant mechanism are systematically evaluated. In conclusion, the promising possibilities of using mineral flame retardants in various fire-resistant polymer composites are considered.

Identifiers

PMID41624944
PMCPMC12854665

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.