The DOI matches its Crossref record.
Nanoparticles as Effective Flame Retardants for Natural and Synthetic Textile Polymers: Application, Mechanism, and Optimization
Abstract
Along with the rising trend of stringent fire safety regulations, demands for reduction in the fire hazard caused by highly combustible materials such as textiles and polymers have become a matter of significant importance. Therefore, numerous attempts have been made to improve the flame retardation of textiles for a variety of applications. The present paper aims to review the recent developments in the flame retardant nanocomposites of natural and synthetic textile polymers. We survey the application of different nanoparticles or a combination of nanoparticles and conventional flame retardants. Furthermore, a comprehensive discussion on mechanisms and optimized conditions of flame retardation and thermal stability is presented.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Zare, Y. (2016) · Composites Part A: Applied Science and Manufacturing · doi:10.1016/j.compositesa.2016.01.020 · Cited by 600
Self-citationA Review on Multifunctional Nanotechnological Aspects in Modern Textile
Sarvalkar, P. D., Barawkar, S. D., Karvekar, O. S., Patil, P. D., Prasad, S. R., Sharma, K. K., Prasad, N. R., & Vhatkar, R. S. (2023) · The Journal of The Textile Institute · doi:10.1080/00405000.2022.2046304 · Cited by 38
A study on coating with nanoclay on the production of flame retardant cotton fabrics
KERTMEN, N., DALBAŞI, E. S., KÖRLÜ, A., ÖZGÜNEY, A., & YAPAR, S. (2020) · Tekstil ve Konfeksiyon · doi:10.32710/tekstilvekonfeksiyon.675352 · Cited by 5
Metadata
- Authors
- Norouzi, M., Zare, Y., & Kiany, P.
- Venue
- Polymer Reviews
- Publisher
- Informa UK Limited
- Published
- 2015-05-13
- Volume
- 55
- Issue
- 3
- Pages
- 531-560
- ISSN
- 0736-6574 (ISSN-L)
- 1558-3724
- 1558-3716
- OpenAlex
- W1512853955
- Cited by
- 178
- References
- 0
- FWCI
- 10.79
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Nanoparticles as Effective Flame Retardants for Natural and Synthetic Textile Polymers: Application, Mechanism, and Optimization. https://app.cochat.ai/papers/10.1080/15583724.2014.980427
- The paper
- Norouzi, M., Zare, Y., & Kiany, P. (2015). Nanoparticles as Effective Flame Retardants for Natural and Synthetic Textile Polymers: Application, Mechanism, and Optimization. Polymer Reviews. https://doi.org/10.1080/15583724.2014.980427
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.