Evidence map›Paper›PMID 35408490›Full record

ArticleMolecules (Basel, Switzerland)2022

Experimental Design Optimization of Acrylate-Tannin Photocurable Resins for 3D Printing of Bio-Based Porous Carbon Architectures.

Pauline Blyweert, Vincent Nicolas, Vanessa Fierro, Alain Celzard

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. 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.

Pauline BlyweertInstitut Jean Lamour, Université de Lorraine, UMR 7198, 27 Rue Philippe Seguin, CEDEX 9, 88051 Epinal, France.ORCID 0000-0001-7566-3122
Vincent NicolasInstitut Jean Lamour, Université de Lorraine, UMR 7198, 27 Rue Philippe Seguin, CEDEX 9, 88051 Epinal, France.ORCID 0000-0001-7873-9057
Vanessa FierroInstitut Jean Lamour, Université de Lorraine, UMR 7198, 27 Rue Philippe Seguin, CEDEX 9, 88051 Epinal, France.ORCID 0000-0001-7081-3697
Alain CelzardInstitut Jean Lamour, Université de Lorraine, UMR 7198, 27 Rue Philippe Seguin, CEDEX 9, 88051 Epinal, France.ORCID 0000-0003-0073-9545

Funding

ERDF TALiSMAN project [(2019-000214)]French Ministry of Higher Education None
6 · The paper itself

Abstract

In this work, porous carbons were prepared by 3D printing formulations based on acrylate-tannin resins. As the properties of these carbons are highly dependent on the composition of the precursor, it is essential to understand this effect to optimise them for a given application. Thus, experimental design was applied, for the first time, to carbon 3D printing. Using a rationalised number of experiments suggested by a Scheffé mixture design, the experimental responses (the carbon yield, compressive strength, and Young's modulus) were modelled and predicted as a function of the relative proportions of the three main resin ingredients (HDDA, PETA, and CN154CG). The results revealed that formulations containing a low proportion of HDDA and moderate amounts of PETA and CN154CG gave the best properties. Thereby, the optimised carbon structures had a compressive strength of over 5.2 MPa and a Young's modulus of about 215 MPa. The reliability of the model was successfully validated through optimisation tests, proving the value of experimental design in developing customisable tannin-based porous carbons manufactured by stereolithography.

Indexed as

CarbonTanninsAcrylatesPorosityPrinting, Three-DimensionalReproducibility of ResultsResearch DesignAcrylatesacrylic acidCarbonTanninsadditive manufacturingexperimental designporous carbonstereolithographytannin

Identifiers

PMID35408490
PMCPMC9000739

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.