Evidence map›Paper›PMID 42882739›Full record

ArticleMaterials (Basel, Switzerland)2026

Study on Photocuring Printing Technology of Polyurethane Acrylate-Based Transparent Braces.

Fenglian Zhong, Qian Jiang, Liang Guo, Miaoning Yan, Qingmao Zhang

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Fenglian ZhongSchool of Optoelectronic Science and Engineering, South China Normal University, Guangzhou 510006, China.ORCID 0009-0004-0653-9784
Qian JiangSchool of Optoelectronic Science and Engineering, South China Normal University, Guangzhou 510006, China.
Liang GuoSchool of Optoelectronic Science and Engineering, South China Normal University, Guangzhou 510006, China.
Miaoning YanRiton Additive Technology Co., Ltd., Guangzhou 510378, China.
Qingmao ZhangSchool of Optoelectronic Science and Engineering, South China Normal University, Guangzhou 510006, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A polyurethane acrylate-based photosensitive resin system was developed for 405 nm DLP printing. The formulations were prepared by blending commercial urethane acrylate RT75A with TPO-L, BBOT, and one of four reactive diluents (ACMO, IBOMA, TPGDA, or CTFA). Double-bond conversion was determined by ATR-FTIR, whereas viscosity, UV-Vis transmittance, working-curve parameters (critical exposure and penetration depth), volumetric shrinkage, and mechanical properties were evaluated. The reactive diluent markedly affected both the liquid-state behavior of the resin formulations and the properties of the cured networks. RT75A-TP showed the highest double-bond conversion (97.9%) and volumetric shrinkage (4.65%). RT75A-CT exhibited the highest viscosity at 25 °C and the largest elongation at break (119 ± 9.5%). RT75A-IB exhibited the highest tensile strength (43.3 ± 3.1 MPa) and flexural strength (57.8 ± 1.1 MPa). All formulations maintained transmittance above 80% from 450 to 800 nm. A transparent aligner with a nominal thickness of 0.55 mm was directly printed from RT75A-IB, and its dimensional accuracy was evaluated by 3D scanning. Overall, the results show that reactive-diluent selection enables the coordinated tuning of DLP processability, double-bond conversion, optical performance, and mechanical behavior.

Indexed as

3D printingdiluentlight-curedpolyurethanetransparent brace

Identifiers

PMID42882739
PMCPMC13666052

What OpenQuestion holds

Textmetadata
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.