Evidence map›Paper›PMID 28710359›Full record

ArticleScientific reports2017

Computationally Informed Design of a Multi-Axial Actuated Microfluidic Chip Device.

Alessio Gizzi, Sara Maria Giannitelli, Marcella Trombetta, Christian Cherubini, Simonetta Filippi, Adele De Ninno, Luca Businaro, Annamaria Gerardino, Alberto Rainer

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Review
  3. Optimization of Oxygen Delivery Within Hydrogels.Journal of biomechanical engineering · 2021
    Review
  4. Intervertebral Disc-on-a-Chip as AdvancedFrontiers in bioengineering and biotechnology · 2021
    Review
  5. Article
  6. 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

9 authors.

Alessio GizziUniversità Campus Bio-Medico di Roma, Department of Engineering, Rome, Italy.
Sara Maria GiannitelliUniversità Campus Bio-Medico di Roma, Department of Engineering, Rome, Italy.
Marcella TrombettaUniversità Campus Bio-Medico di Roma, Department of Engineering, Rome, Italy.ORCID 0000-0002-1357-4885
Christian CherubiniUniversità Campus Bio-Medico di Roma, Department of Engineering, Rome, Italy.
Simonetta FilippiUniversità Campus Bio-Medico di Roma, Department of Engineering, Rome, Italy.
Adele De NinnoInstitute for Photonics and Nanotechnology, National Research Council, Rome, Italy.
Luca BusinaroInstitute for Photonics and Nanotechnology, National Research Council, Rome, Italy.
Annamaria GerardinoInstitute for Photonics and Nanotechnology, National Research Council, Rome, Italy.
Alberto RainerUniversità Campus Bio-Medico di Roma, Department of Engineering, Rome, Italy. a.rainer@unicampus.it.ORCID 0000-0001-8971-551X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper describes the computationally informed design and experimental validation of a microfluidic chip device with multi-axial stretching capabilities. The device, based on PDMS soft-lithography, consisted of a thin porous membrane, mounted between two fluidic compartments, and tensioned via a set of vacuum-driven actuators. A finite element analysis solver implementing a set of different nonlinear elastic and hyperelastic material models was used to drive the design and optimization of chip geometry and to investigate the resulting deformation patterns under multi-axial loading. Computational results were cross-validated by experimental testing of prototypal devices featuring the in silico optimized geometry. The proposed methodology represents a suite of computationally handy simulation tools that might find application in the design and in silico mechanical characterization of a wide range of stretchable microfluidic devices.

Identifiers

PMID28710359
PMCPMC5511244

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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.