Evidence map›Paper›PMID 39410449›Full record

ReviewMaterials (Basel, Switzerland)2024

A Review of Natural Fibres and Biopolymer Composites: Progress, Limitations, and Enhancement Strategies.

Innes McKay, Johnattan Vargas, Liu Yang, Reda M Felfel

Abstract readReview
In one paragraph

Review in Materials (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
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  9. Review
  10. Review
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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

4 authors.

Innes McKayAdvanced Composites Group, Mechanical and Aerospace Engineering, University of Strathclyde, Glasgow G1 1XJ, UK.
Johnattan VargasAdvanced Composites Group, Mechanical and Aerospace Engineering, University of Strathclyde, Glasgow G1 1XJ, UK.
Liu YangAdvanced Composites Group, Mechanical and Aerospace Engineering, University of Strathclyde, Glasgow G1 1XJ, UK.ORCID 0000-0001-8475-1757
Reda M FelfelAdvanced Composites Group, Mechanical and Aerospace Engineering, University of Strathclyde, Glasgow G1 1XJ, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The interest in natural fibres and biopolymers for developing bio-composites has greatly increased in recent years, motivated by the need to reduce the environmental impact of traditional synthetic, fossil fuel-derived materials. However, several limitations associated with the use of natural fibres and polymers should be addressed if they are to be seriously considered mainstream fibre reinforcements. These include poor compatibility of natural fibres with polymer matrices, variability, high moisture absorption, and flammability. Various surface treatments have been studied to tackle these drawbacks, such as alkalisation, silane treatment, acetylation, plasma treatment, and polydopamine coating. This review paper considers the classification, properties, and limitations of natural fibres and biopolymers in the context of bio-composite materials. An overview of recent advancements and enhancement strategies to overcome such limitations will also be discussed, with a focus on mechanical performance, moisture absorption behaviour, and flammability of composites. The limitations of natural fibres, biopolymers, and their bio-composites should be carefully addressed to enable the widespread use of bio-composites in various applications, including electronics, automotive, and construction.

Indexed as

bio-compositesbiopolymersflax fibrenatural fibressurface treatments

Identifiers

PMID39410449
PMCPMC11478351

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.