Evidence map›Paper›PMID 36235892›Full record

ArticlePolymers2022

Scalable Manufacturing Process and Multifunctional Performance of Cotton Fibre-Reinforced Poly(Lactic Acid) (PLA) Bio-Composites Coated by Graphene Oxide.

Yilin He, Shuying Wu, Anthony Chun Yin Yuen, Feng Huang, Cyrille Boyer, Chun H Wang, Jin Zhang

Abstract read
In one paragraph

Article in Polymers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

7 authors.

Yilin HeSchool of Mechanical and Manufacturing Engineering, University of New South Wales, Sydney, NSW 2052, Australia.
Shuying WuSchool of Engineering, Macquarie University, Sydney, NSW 2109, Australia.
Anthony Chun Yin YuenSchool of Mechanical and Manufacturing Engineering, University of New South Wales, Sydney, NSW 2052, Australia.ORCID 0000-0002-1433-447X
Feng HuangSchool of Mechanical and Manufacturing Engineering, University of New South Wales, Sydney, NSW 2052, Australia.
Cyrille BoyerSchool of Chemical Engineering, University of New South Wales, Sydney, NSW 2052, Australia.
Chun H WangSchool of Mechanical and Manufacturing Engineering, University of New South Wales, Sydney, NSW 2052, Australia.
Jin ZhangSchool of Mechanical and Manufacturing Engineering, University of New South Wales, Sydney, NSW 2052, Australia.ORCID 0000-0002-4257-8148

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Natural fibre biopolymer composites with both fibres and matrix being derived from biomaterials are increasingly used in demanding applications, such as sensing, packaging, building, and transport, and require good electrical, thermal, and flame retardant properties. Herein, an investigation of the effectiveness of functionalising nonwoven cotton/poly(lactic acid) (PLA) fibre mats with graphene oxide nanosheets has been reported by using a facile dip-coating method followed by thermal reduction for enhancing the electric, thermal, and abrasion-resistance properties. The manufacturing processes for preparing biocomposites and introducing functionality are readily scalable. Experimental results reveal that with the addition of less than 0.5 wt% graphene nanoplatelets, the biocomposites showed significant improvements in abrasion resistance, electrical conductivity, thermal conductivity, and diffusivity. Furthermore, the composite shows excellent piezo-resistivity to act as strain sensors with a gauge factor of 2.59 at strains up to 1%.

Indexed as

biocompositecompression mouldingmicrostructural analysisphysical properties

Identifiers

PMID36235892
PMCPMC9573032

What OpenQuestion holds

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LicenceCC BY
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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.