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

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 tension...

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Autores principales: Alessio Gizzi, Sara Maria Giannitelli, Marcella Trombetta, Christian Cherubini, Simonetta Filippi, Adele De Ninno, Luca Businaro, Annamaria Gerardino, Alberto Rainer
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Publicado: Nature Portfolio 2017
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Acceso en línea:https://doaj.org/article/6f91ed0ec9124234b69f86cda64b0cab
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spelling oai:doaj.org-article:6f91ed0ec9124234b69f86cda64b0cab2021-12-02T15:05:38ZComputationally Informed Design of a Multi-Axial Actuated Microfluidic Chip Device10.1038/s41598-017-05237-92045-2322https://doaj.org/article/6f91ed0ec9124234b69f86cda64b0cab2017-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-05237-9https://doaj.org/toc/2045-2322Abstract 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.Alessio GizziSara Maria GiannitelliMarcella TrombettaChristian CherubiniSimonetta FilippiAdele De NinnoLuca BusinaroAnnamaria GerardinoAlberto RainerNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-11 (2017)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Alessio Gizzi
Sara Maria Giannitelli
Marcella Trombetta
Christian Cherubini
Simonetta Filippi
Adele De Ninno
Luca Businaro
Annamaria Gerardino
Alberto Rainer
Computationally Informed Design of a Multi-Axial Actuated Microfluidic Chip Device
description 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.
format article
author Alessio Gizzi
Sara Maria Giannitelli
Marcella Trombetta
Christian Cherubini
Simonetta Filippi
Adele De Ninno
Luca Businaro
Annamaria Gerardino
Alberto Rainer
author_facet Alessio Gizzi
Sara Maria Giannitelli
Marcella Trombetta
Christian Cherubini
Simonetta Filippi
Adele De Ninno
Luca Businaro
Annamaria Gerardino
Alberto Rainer
author_sort Alessio Gizzi
title Computationally Informed Design of a Multi-Axial Actuated Microfluidic Chip Device
title_short Computationally Informed Design of a Multi-Axial Actuated Microfluidic Chip Device
title_full Computationally Informed Design of a Multi-Axial Actuated Microfluidic Chip Device
title_fullStr Computationally Informed Design of a Multi-Axial Actuated Microfluidic Chip Device
title_full_unstemmed Computationally Informed Design of a Multi-Axial Actuated Microfluidic Chip Device
title_sort computationally informed design of a multi-axial actuated microfluidic chip device
publisher Nature Portfolio
publishDate 2017
url https://doaj.org/article/6f91ed0ec9124234b69f86cda64b0cab
work_keys_str_mv AT alessiogizzi computationallyinformeddesignofamultiaxialactuatedmicrofluidicchipdevice
AT saramariagiannitelli computationallyinformeddesignofamultiaxialactuatedmicrofluidicchipdevice
AT marcellatrombetta computationallyinformeddesignofamultiaxialactuatedmicrofluidicchipdevice
AT christiancherubini computationallyinformeddesignofamultiaxialactuatedmicrofluidicchipdevice
AT simonettafilippi computationallyinformeddesignofamultiaxialactuatedmicrofluidicchipdevice
AT adeledeninno computationallyinformeddesignofamultiaxialactuatedmicrofluidicchipdevice
AT lucabusinaro computationallyinformeddesignofamultiaxialactuatedmicrofluidicchipdevice
AT annamariagerardino computationallyinformeddesignofamultiaxialactuatedmicrofluidicchipdevice
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