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Circuit-Based Design of Microfluidic Drop Networks

Microfluidic-drop networks consist of several stable drops—interconnected through microfluidic channels—in which organ models can be cultured long-term. Drop networks feature a versatile configuration and an air–liquid interface (ALI). This ALI provides ample oxygenation, rapid liquid turnover, pass...

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Autores principales: Rousset, Nassim, Lohasz, Christian, Boos, Julia Alicia, Misun, Patrick M., Cardes, Fernando, Hierlemann, Andreas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9315978/
https://www.ncbi.nlm.nih.gov/pubmed/35888941
http://dx.doi.org/10.3390/mi13071124
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author Rousset, Nassim
Lohasz, Christian
Boos, Julia Alicia
Misun, Patrick M.
Cardes, Fernando
Hierlemann, Andreas
author_facet Rousset, Nassim
Lohasz, Christian
Boos, Julia Alicia
Misun, Patrick M.
Cardes, Fernando
Hierlemann, Andreas
author_sort Rousset, Nassim
collection PubMed
description Microfluidic-drop networks consist of several stable drops—interconnected through microfluidic channels—in which organ models can be cultured long-term. Drop networks feature a versatile configuration and an air–liquid interface (ALI). This ALI provides ample oxygenation, rapid liquid turnover, passive degassing, and liquid-phase stability through capillary pressure. Mathematical modeling, e.g., by using computational fluid dynamics (CFD), is a powerful tool to design drop-based microfluidic devices and to optimize their operation. Although CFD is the most rigorous technique to model flow, it falls short in terms of computational efficiency. Alternatively, the hydraulic–electric analogy is an efficient “first-pass” method to explore the design and operation parameter space of microfluidic-drop networks. However, there are no direct electric analogs to a drop, due to the nonlinear nature of the capillary pressure of the ALI. Here, we present a circuit-based model of hanging- and standing-drop compartments. We show a phase diagram describing the nonlinearity of the capillary pressure of a hanging drop. This diagram explains how to experimentally ensure drop stability. We present a methodology to find flow rates and pressures within drop networks. Finally, we review several applications, where the method, outlined in this paper, was instrumental in optimizing design and operation.
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spelling pubmed-93159782022-07-27 Circuit-Based Design of Microfluidic Drop Networks Rousset, Nassim Lohasz, Christian Boos, Julia Alicia Misun, Patrick M. Cardes, Fernando Hierlemann, Andreas Micromachines (Basel) Review Microfluidic-drop networks consist of several stable drops—interconnected through microfluidic channels—in which organ models can be cultured long-term. Drop networks feature a versatile configuration and an air–liquid interface (ALI). This ALI provides ample oxygenation, rapid liquid turnover, passive degassing, and liquid-phase stability through capillary pressure. Mathematical modeling, e.g., by using computational fluid dynamics (CFD), is a powerful tool to design drop-based microfluidic devices and to optimize their operation. Although CFD is the most rigorous technique to model flow, it falls short in terms of computational efficiency. Alternatively, the hydraulic–electric analogy is an efficient “first-pass” method to explore the design and operation parameter space of microfluidic-drop networks. However, there are no direct electric analogs to a drop, due to the nonlinear nature of the capillary pressure of the ALI. Here, we present a circuit-based model of hanging- and standing-drop compartments. We show a phase diagram describing the nonlinearity of the capillary pressure of a hanging drop. This diagram explains how to experimentally ensure drop stability. We present a methodology to find flow rates and pressures within drop networks. Finally, we review several applications, where the method, outlined in this paper, was instrumental in optimizing design and operation. MDPI 2022-07-16 /pmc/articles/PMC9315978/ /pubmed/35888941 http://dx.doi.org/10.3390/mi13071124 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Rousset, Nassim
Lohasz, Christian
Boos, Julia Alicia
Misun, Patrick M.
Cardes, Fernando
Hierlemann, Andreas
Circuit-Based Design of Microfluidic Drop Networks
title Circuit-Based Design of Microfluidic Drop Networks
title_full Circuit-Based Design of Microfluidic Drop Networks
title_fullStr Circuit-Based Design of Microfluidic Drop Networks
title_full_unstemmed Circuit-Based Design of Microfluidic Drop Networks
title_short Circuit-Based Design of Microfluidic Drop Networks
title_sort circuit-based design of microfluidic drop networks
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9315978/
https://www.ncbi.nlm.nih.gov/pubmed/35888941
http://dx.doi.org/10.3390/mi13071124
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