Cargando…
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...
Autores principales: | , , , , , |
---|---|
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 |
_version_ | 1784754693648416768 |
---|---|
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. |
format | Online Article Text |
id | pubmed-9315978 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT roussetnassim circuitbaseddesignofmicrofluidicdropnetworks AT lohaszchristian circuitbaseddesignofmicrofluidicdropnetworks AT boosjuliaalicia circuitbaseddesignofmicrofluidicdropnetworks AT misunpatrickm circuitbaseddesignofmicrofluidicdropnetworks AT cardesfernando circuitbaseddesignofmicrofluidicdropnetworks AT hierlemannandreas circuitbaseddesignofmicrofluidicdropnetworks |