Evidence map›Paper›PMID 34502926›Full record

ArticlePolymers2021

Innovative Polyelectrolyte Treatment to Flame-Retard Wood.

Marie Soula, Fabienne Samyn, Sophie Duquesne, Véronic Landry

Open access · goldAbstract read
In one paragraph

Article in Polymers, 2021. 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
1.5field-weighted citation impact, top 20% of its field
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, 19 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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

4 authors at 2 institutions in 2 countries.

Marie SoulaWood and Forest Sciences Department, Faculty of Forestry, Geography and Geomatics, Université Laval, 2405 Rue de la Terrasse, Quebec City, QC G1V 0A6, Canada.ORCID 0000-0002-5282-0903
Fabienne SamynCNRS, INRAE, Centrale Lille, UMR 8207-UMET-Unité Matériaux et Transformations, University Lille, F-59000 Lille, France.ORCID 0000-0003-0469-6140
Sophie DuquesneCNRS, INRAE, Centrale Lille, UMR 8207-UMET-Unité Matériaux et Transformations, University Lille, F-59000 Lille, France.ORCID 0000-0002-5019-040X
Véronic LandryWood and Forest Sciences Department, Faculty of Forestry, Geography and Geomatics, Université Laval, 2405 Rue de la Terrasse, Quebec City, QC G1V 0A6, Canada.ORCID 0000-0002-6936-1272
Centre National de la Recherche Scientifique · FRNatural Sciences and Engineering Research Council of Canada · CA

Funding

Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada PCISA 514917-16Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada RDCPJ 500157-16
6 · The paper itself

Abstract

Fire protection has been a major challenge in wood construction for many years, mainly due to the high flame spread risk associated with wood flooring. Wood fire-retardancy is framed by two main axes: coating and bulk impregnation. There is a growing need for economically and environmentally friendly alternatives. The study of polyelectrolyte complexes (PECs) for wood substrates is in its infancy, but PECs' versatility and eco-friendly character are already recognized for fabric fire-retardancy fabrics. In this study, a new approach to PEC characterization is proposed. First, PECs, which consist of polyethyleneimine and sodium phytate, were chemically and thermally characterized to select the most promising systems. Then, yellow birch (

Indexed as

fire-retardancypolyelectrolyte complexwood protection

Identifiers

PMID34502926
PMCPMC8433691
OpenAlexW3197854849

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.