Evidence map›Paper›PMID 41210748›Full record

ArticleACS omega2025

Effect of Carbon-Carbon Double Bond Content on the Final Properties of Stereolithography 3D-Printed Parts from Vegetable Oil-Based, Acrylated Resins.

Julius A Adeyera, Julio A Conti Silva, Kamran Kardel, Rafael L Quirino

Abstract read
In one paragraph

Article in ACS omega, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Julius A AdeyeraDepartment of Manufacturing Engineering, Georgia Southern University, Statesboro, Georgia 30460, United States.
Julio A Conti SilvaCenter for Advanced Materials Science, Biochemistry, Chemistry and Physics Department, Georgia Southern University, Statesboro, Georgia 30460, United States.ORCID https://orcid.org/0000-0003-2693-0591
Kamran KardelDepartment of Manufacturing Engineering, Georgia Southern University, Statesboro, Georgia 30460, United States.
Rafael L QuirinoCenter for Advanced Materials Science, Biochemistry, Chemistry and Physics Department, Georgia Southern University, Statesboro, Georgia 30460, United States.ORCID https://orcid.org/0000-0001-7498-7213

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The increase in the demand for additively manufactured parts and the drive toward a sustainable economy with less environmental pollution has triggered the need for renewable materials for use in 3D printing. This study shows how the final properties of stereolythography (SLA) 3D-printed parts are affected by the number of carbon-carbon double bonds in vegetable oils used to prepare biobased free radical resins. The free radical resins developed in this study contain a minimum of 95 wt % biobased content and are readily polymerizable using a commercial SLA 3D printer. Two distinct vegetable oils, namely soybean and linseed oils, were epoxidized and then acrylated. The epoxidized, acrylated oils and their 50:50 (wt/wt) blend were used to demonstrate the influence of carbon-carbon double bond content on the final properties of SLA 3D-printed parts. The synthetic strategy adopted was successful and showed promise, leading to printed materials with good thermo-mechanical properties. More specifically, it is demonstrated herein that the degree of unsaturation of the oil has a direct impact on the tensile strength of parts printed via stereolithography, and that final properties can be tuned by blending resins prepared from different oils. Ultimately, parts printed with linseed oil displayed better properties than those printed with soybean oil.

Identifiers

PMID41210748
PMCPMC12593054

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Registered trials

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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.