Evidence map›Paper›PMID 37323502›Full record

ArticleInternational journal of bioprinting2023

Computational simulation-based comparative analysis of standard 3D printing and conical nozzles for pneumatic and piston-driven bioprinting.

Juan Carlos Gómez-Blanco, J Blas Pagador, Victor P Galván-Chacón, Luisa F Sánchez-Peralta, Manuel Matamoros, Alfonso Marcos, Francisco M Sánchez-Margallo

Abstract read
In one paragraph

Article in International journal of bioprinting, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Computational approaches in bioprinting processes.Nature reviews bioengineering · 2026
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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

7 authors.

Juan Carlos Gómez-BlancoBioengineering and Health Technology Unit, Jesús Usón Minimally Invasive Surgery Centre, Cáceres, Spain.
J Blas PagadorBioengineering and Health Technology Unit, Jesús Usón Minimally Invasive Surgery Centre, Cáceres, Spain.
Victor P Galván-ChacónBioengineering and Health Technology Unit, Jesús Usón Minimally Invasive Surgery Centre, Cáceres, Spain.
Luisa F Sánchez-PeraltaBioengineering and Health Technology Unit, Jesús Usón Minimally Invasive Surgery Centre, Cáceres, Spain.
Manuel MatamorosSchool of Industrial Engineering, University of Extremadura, Badajoz, Spain.
Alfonso MarcosSchool of Industrial Engineering, University of Extremadura, Badajoz, Spain.
Francisco M Sánchez-MargalloTERAV/ISCIII, Red Española de Terapias Avanzadas, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bioprinting is an application of additive manufacturing that can deliver promising results in regenerative medicine. Hydrogels, as the most used materials in bioprinting, are experimentally analyzed to assure printability and suitability for cell culture. Besides hydrogel features, the inner geometry of the microextrusion head might have an equal impact not only on printability but also on cellular viability. In this regard, standard 3D printing nozzles have been widely studied to reduce inner pressure and get faster printings using highly viscous melted polymers. Computational fluid dynamics is a useful tool capable of simulating and predicting the hydrogel behavior when the extruder inner geometry is modified. Hence, the objective of this work is to comparatively study the performance of a standard 3D printing and conical nozzles in a microextrusion bioprinting process through computational simulation. Three bioprinting parameters, namely pressure, velocity, and shear stress, were calculated using the level-set method, considering a 22G conical tip and a 0.4 mm nozzle. Additionally, two microextrusion models, pneumatic and piston-driven, were simulated using dispensing pressure (15 kPa) and volumetric flow (10 mm

Indexed as

BioinkBioprintingComputational simulationLevel-set methodNon-Newtonian fluidNozzle

Identifiers

PMID37323502
PMCPMC10261129

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.