Evidence map›Paper›PMID 36677194›Full record

ArticleMicromachines2023

Development of an Automated Design Tool for FEM-Based Characterization of Solid and Hollow Microneedles.

Yolanda Lechuga, Gregoire Kandel, Jose Angel Miguel, Mar Martinez

Abstract read
In one paragraph

Article in Micromachines, 2023. 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

4 authors.

Yolanda LechugaGroup of Microelectronics Engineering, Department of Electronics Technology, Systems Engineering and Automation, Universidad de Cantabria, 39005 Santander, Spain.ORCID 0000-0002-1752-114X
Gregoire KandelGroup of Microelectronics Engineering, Department of Electronics Technology, Systems Engineering and Automation, Universidad de Cantabria, 39005 Santander, Spain.
Jose Angel MiguelGroup of Microelectronics Engineering, Department of Electronics Technology, Systems Engineering and Automation, Universidad de Cantabria, 39005 Santander, Spain.
Mar MartinezGroup of Microelectronics Engineering, Department of Electronics Technology, Systems Engineering and Automation, Universidad de Cantabria, 39005 Santander, Spain.

Funding

Consejería de Universidades, Igualdad, Cultura y Deporte del Gobierno de Cantabria (SPAIN) VP47
6 · The paper itself

Abstract

Microneedle design for biomedical applications, such as transdermal drug delivery, vaccination and transdermal biosensing, has lately become a rapidly growing research field. In this sense, finite element analysis has been extendedly used by microneedle designers to determine the most suitable structural parameters for their prototypes, and also to predict their mechanical response and efficiency during the insertion process. Although many proposals include computer-aided tools to build geometrical models for mechanical analysis, there is a lack of software utilities intended to automate the design process encompassing geometrical modeling, simulation setup and postprocessing of results. This work proposes a novel MATLAB-based design tool for microneedle arrays that permits personalized selection of the basic characteristics of a mechanical model. The tool automatically exports the selected options to an ANSYS batch file, including instructions to run a static and a linear buckling analysis. Later, the subsequent simulation results can be retrieved for on-screen display and potential postprocessing. In addition, this work reviews recent proposals (2018-2022) about finite element model characterization of microneedles to establish the minimum set of features that any tool intended for automating a design process should provide.

Indexed as

design toolfinite element modelinggraphical user interfacemicroneedletransdermal biosensingtransdermal drug delivery

Identifiers

PMID36677194
PMCPMC9861112

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.