Evidence map›Paper›PMID 37237070›Full record

ArticleScientific reports2023

A high-absorbance water-soluble photoinitiator nanoparticle for hydrogel 3D printing: synthesis, characterization and in vitro cytotoxicity study.

Hanieh Sadat Ghazali, Esfandyar Askari, Amir Seyfoori, Seyed Morteza Naghib

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.7field-weighted citation impact, top 6% 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

18 citing papers in PubMed, 34 citations in OpenAlex.

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  7. Application of PLCL as a biodegradable polymer in biomedical engineering.Journal of materials science. Materials in medicine · 2026
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  18. Application of photo-crosslinkable gelatin methacryloyl in wound healing.Frontiers in bioengineering and biotechnology · 2023
    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 at 2 institutions in 1 country.

Hanieh Sadat GhazaliNanotechnology Department, School of Advanced Technologies, Iran University of Science and Technology, Tehran, Iran.
Esfandyar AskariBiomaterials and Tissue Engineering Department, Breast Cancer Research Center, Motamed Cancer Institute, ACECR, Tehran, Iran.
Amir SeyfooriBiomaterials and Tissue Engineering Department, Breast Cancer Research Center, Motamed Cancer Institute, ACECR, Tehran, Iran.
Seyed Morteza NaghibNanotechnology Department, School of Advanced Technologies, Iran University of Science and Technology, Tehran, Iran. naghib@iust.ac.ir.
Iran University of Science and Technology · IRMotamed Cancer Institute · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Light-based hydrogel crosslinking is a new approach in rapid and high-resolution 3D printing; however, using this method in tissue engineering is challenging due to the toxicity of photoinitiators, their solvents, and their low efficiency. Herein, a novel, water-soluble photoinitiator with high efficiency in light-based 3D printing is introduced. Low-cost photoinitator, 2,4,6-trimethylbenzoylphenyl phosphinate, is converted into nanoparticles via a microemulsion method and dispersed in water. Cell toxicity assays were performed to prove that these nanoparticles are non-toxic and can be used in biomedical applications. Finally, the nanoparticles were utilized in the high-accuracy 3D printing of hydrogels. The results of this study indicate that these particles are potent to be used in bioprinting.

Indexed as

BioprintingNanoparticlesHydrogelsPrinting, Three-DimensionalTissue EngineeringTissue ScaffoldsWaterHydrogelsWater

Identifiers

PMID37237070
PMCPMC10220070
OpenAlexW4378473073

What OpenQuestion holds

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LicenceCC BY
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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.