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Computationally Informed Design of a Multi-Axial Actuated Microfluidic Chip Device
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...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5511244/ https://www.ncbi.nlm.nih.gov/pubmed/28710359 http://dx.doi.org/10.1038/s41598-017-05237-9 |
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author | Gizzi, Alessio Giannitelli, Sara Maria Trombetta, Marcella Cherubini, Christian Filippi, Simonetta De Ninno, Adele Businaro, Luca Gerardino, Annamaria Rainer, Alberto |
author_facet | Gizzi, Alessio Giannitelli, Sara Maria Trombetta, Marcella Cherubini, Christian Filippi, Simonetta De Ninno, Adele Businaro, Luca Gerardino, Annamaria Rainer, Alberto |
author_sort | Gizzi, Alessio |
collection | PubMed |
description | 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 | Online Article Text |
id | pubmed-5511244 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-55112442017-07-17 Computationally Informed Design of a Multi-Axial Actuated Microfluidic Chip Device Gizzi, Alessio Giannitelli, Sara Maria Trombetta, Marcella Cherubini, Christian Filippi, Simonetta De Ninno, Adele Businaro, Luca Gerardino, Annamaria Rainer, Alberto Sci Rep Article 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. Nature Publishing Group UK 2017-07-14 /pmc/articles/PMC5511244/ /pubmed/28710359 http://dx.doi.org/10.1038/s41598-017-05237-9 Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Gizzi, Alessio Giannitelli, Sara Maria Trombetta, Marcella Cherubini, Christian Filippi, Simonetta De Ninno, Adele Businaro, Luca Gerardino, Annamaria Rainer, Alberto Computationally Informed Design of a Multi-Axial Actuated Microfluidic Chip Device |
title | 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_short | Computationally Informed Design of a Multi-Axial Actuated Microfluidic Chip Device |
title_sort | computationally informed design of a multi-axial actuated microfluidic chip device |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5511244/ https://www.ncbi.nlm.nih.gov/pubmed/28710359 http://dx.doi.org/10.1038/s41598-017-05237-9 |
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