Evidence map›Paper›PMID 36616446›Full record

ArticlePolymers2022

Generation of Controlled Micrometric Fibers inside Printed Scaffolds Using Standard FDM 3D Printers.

Elisa Del Barrio Cortés, Clara Matutano Molina, Luis Rodríguez-Lorenzo, Nieves Cubo-Mateo

Abstract read
In one paragraph

Article in Polymers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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.

Elisa Del Barrio CortésResearch Support Technical Unit, Aragon Health Research Institute Foundation, 50009 Zaragoza, Spain.
Clara Matutano MolinaNebrija Research Group ARIES, Higher Polytechnic School, Antonio de Nebrija University, 28040 Madrid, Spain.
Luis Rodríguez-LorenzoDepartment of Polymeric Nanomaterials and Biomaterials, Institute of Polymer Science and Technology (ICTP), Spanish National Research Council (CSIC), 28006 Madrid, Spain.ORCID 0000-0002-4816-1087
Nieves Cubo-MateoNebrija Research Group ARIES, Higher Polytechnic School, Antonio de Nebrija University, 28040 Madrid, Spain.ORCID 0000-0002-0717-3049

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

New additive manufacturing techniques, such as melting electro-writing (MEW) or near-field electrospinning (NFES), are now used to include microfibers inside 3D printed scaffolds as FDM printers present a limited resolution in the XY axis, not making it easy to go under 100 µm without dealing with nozzle troubles. This work studies the possibility of creating reproducible microscopic internal fibers inside scaffolds printed by standard 3D printing. For this purpose, novel algorithms generating deposition routines (G-code) based on primitive geometrical figures were created by python scripts, modifying basic deposition conditions such as temperature, speed, or material flow. To evaluate the influence of these printing conditions on the creation of internal patterns at the microscopic level, an optical analysis of the printed scaffolds was carried out using a digital microscope and subsequent image analysis with ImageJ software. To conclude, the formation of heterogeneously shaped microfilaments (48 ± 12 µm, mean ± S.D.) was achieved in a standard FDM 3D Printer with the strategies developed in this work, and it was found that the optimum conditions for obtaining such microfibers were high speeds and a reduced extrusion multiplier.

Indexed as

3D printingalgorithmsmicrofiberspolycaprolactoneprinting parametersscaffoldstissue engineering

Identifiers

PMID36616446
PMCPMC9824594

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.