Evidence map›Paper›PMID 34960977›Full record

ReviewPolymers2021

A Review on the Thermal Characterisation of Natural and Hybrid Fiber Composites.

Jorge S S Neto, Henrique F M de Queiroz, Ricardo A A Aguiar, Mariana D Banea

Abstract readReview
In one paragraph

Review in Polymers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
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  11. Article
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  14. The Influence ofMaterials (Basel, Switzerland) · 2024
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Effect of Plant Fiber on Early Properties of Geopolymer.Molecules (Basel, Switzerland) · 2023
    Review
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.

Jorge S S NetoFederal Centre of Technological Education in Rio de Janeiro (CEFET/RJ), Rio de Janeiro 20271-110, Brazil.ORCID 0000-0002-8430-8904
Henrique F M de QueirozFederal Centre of Technological Education in Rio de Janeiro (CEFET/RJ), Rio de Janeiro 20271-110, Brazil.
Ricardo A A AguiarFederal Centre of Technological Education in Rio de Janeiro (CEFET/RJ), Rio de Janeiro 20271-110, Brazil.
Mariana D BaneaFederal Centre of Technological Education in Rio de Janeiro (CEFET/RJ), Rio de Janeiro 20271-110, Brazil.ORCID 0000-0002-8378-2292

Funding

Coordenação de Aperfeicoamento de Pessoal de Nível Superior Finance Code 001Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro 26/211.072/2019 and E-26/202.728/2019National Council for Scientific and Technological Development 311079/2020-2
6 · The paper itself

Abstract

The thermal stability of natural fiber composites is a relevant aspect to be considered since the processing temperature plays a critical role in the manufacturing process of composites. At higher temperatures, the natural fiber components (cellulose, hemicellulose, and lignin) start to degrade and their major properties (mechanical and thermal) change. Different methods are used in the literature to determine the thermal properties of natural fiber composites as well as to help to understand and determine their suitability for a certain applications (e.g., Thermogravimetric analysis (TGA), differential scanning calorimetry (DSC), and differential mechanical thermal analysis (DMA)). Weight loss percentage, the degradation temperature, glass transition temperature (

Indexed as

differential mechanical thermal analysis (DMA)differential scanning calorimetry (DSC)natural fiber reinforced composite materialthermal analysisthermogravimetric analysis (TGA)

Identifiers

PMID34960977
PMCPMC8705297

What OpenQuestion holds

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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.