Evidence map›Paper›PMID 42146739›Full record

ArticleACS materials Au2026

Dark Polymerization Following Partial Radical Photocuring: Effect of Light Intensity and Exposure Duration.

Soroosh Farsiani, Frank D Blum, Hadi Noori

Abstract read
In one paragraph

Article in ACS materials Au, 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

3 authors.

Soroosh FarsianiSchool of Mechanical and Aerospace Engineering, Oklahoma State University, Stillwater, Oklahoma 74078, United States.ORCID https://orcid.org/0009-0000-1953-799X
Frank D BlumDepartment of Chemistry, Oklahoma State University, Stillwater, Oklahoma 74078, United States.ORCID https://orcid.org/0000-0002-7884-3134
Hadi NooriDivision of Physical and Computational Sciences, University of Pittsburgh, Bradford, Pennsylvania 16701, United States.ORCID https://orcid.org/0000-0003-0207-222X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Free-radical photopolymerization enables the spatial and temporal customization of the viscoelastic properties of polymers for multifunctional designs. Adjusting light intensity and exposure time can be used to control the kinetics of photopolymerization and, therefore, the nonuniformity in the viscoelastic properties of the polymerized material. Additionally, polymerization that occurs in the dark after partial radical photopolymerization must be taken into account to accurately assess the state of polymerization and maximize photopolymerization efficiency when complete curing is required. In this study, we present a systematic methodology for examining the combined effects of light intensity and exposure time on dark polymerization following partial radical photopolymerization of two acrylate-based photocuring adhesives applicable for bonding dissimilar materials. The findings indicate that light power intensity and material composition are interconnected factors influencing polymerization in the absence of light. Additionally, the results show that, for each material, the stage of photopolymerizationwhether in the autoacceleration or autodeceleration phasesignificantly affects both the extent and the kinetics of dark polymerization. The similarity of trends in dark radical polymerization, regardless of process and material conditions, led to the proposal of a two-parameter power-law function to empirically describe the trend and rate of dark polymerization.

Indexed as

dark polymerizationempirical modelexposure timelight intensityradical photopolymerizationUV dosage

Identifiers

PMID42146739
PMCPMC13177412

What OpenQuestion holds

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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.