Cargando…

Modeling of Droplet Generation in a Microfluidic Flow-Focusing Junction for Droplet Size Control

In this paper, we study the parameters that affect the generation of droplets in a microfluidic flow-focusing junction. Droplets are evaluated based on the size and frequency of generation. Droplet size control is essential for microfluidic lab-on-a-chip applications in biology, chemistry, and medic...

Descripción completa

Detalles Bibliográficos
Autores principales: Ibrahim, Ali M., Padovani, Jose I., Howe, Roger T., Anis, Yasser H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8223991/
https://www.ncbi.nlm.nih.gov/pubmed/34063839
http://dx.doi.org/10.3390/mi12060590
_version_ 1783711799141466112
author Ibrahim, Ali M.
Padovani, Jose I.
Howe, Roger T.
Anis, Yasser H.
author_facet Ibrahim, Ali M.
Padovani, Jose I.
Howe, Roger T.
Anis, Yasser H.
author_sort Ibrahim, Ali M.
collection PubMed
description In this paper, we study the parameters that affect the generation of droplets in a microfluidic flow-focusing junction. Droplets are evaluated based on the size and frequency of generation. Droplet size control is essential for microfluidic lab-on-a-chip applications in biology, chemistry, and medicine. We developed a three-dimensional numerical model that can emulate the performance of the physical system. A numerical model can help design droplet-generation chips with new junction geometries, different dispersed and continuous phase types, and different flow rates. Our model uses a conservative level-set method (LSM) to track the interface between two immiscible fluids using a fixed mesh. Water was used for the dispersed phase and mineral oil for the continuous phase. The effects of the continuous-to-dispersed flow rate ratio ([Formula: see text]) and the surfactant concentration on the droplet generation were studied both using the numerical model and experimentally. The numerical model was found to render results that are in good agreement with the experimental ones, which validates the LSM model. The validated numerical model was used to study the time effect of changing [Formula: see text] on the generated droplet size. Properly timing when the flow rates are changed enables control over the size of the next generated droplet, which is useful for single-droplet size modulation applications.
format Online
Article
Text
id pubmed-8223991
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-82239912021-06-25 Modeling of Droplet Generation in a Microfluidic Flow-Focusing Junction for Droplet Size Control Ibrahim, Ali M. Padovani, Jose I. Howe, Roger T. Anis, Yasser H. Micromachines (Basel) Article In this paper, we study the parameters that affect the generation of droplets in a microfluidic flow-focusing junction. Droplets are evaluated based on the size and frequency of generation. Droplet size control is essential for microfluidic lab-on-a-chip applications in biology, chemistry, and medicine. We developed a three-dimensional numerical model that can emulate the performance of the physical system. A numerical model can help design droplet-generation chips with new junction geometries, different dispersed and continuous phase types, and different flow rates. Our model uses a conservative level-set method (LSM) to track the interface between two immiscible fluids using a fixed mesh. Water was used for the dispersed phase and mineral oil for the continuous phase. The effects of the continuous-to-dispersed flow rate ratio ([Formula: see text]) and the surfactant concentration on the droplet generation were studied both using the numerical model and experimentally. The numerical model was found to render results that are in good agreement with the experimental ones, which validates the LSM model. The validated numerical model was used to study the time effect of changing [Formula: see text] on the generated droplet size. Properly timing when the flow rates are changed enables control over the size of the next generated droplet, which is useful for single-droplet size modulation applications. MDPI 2021-05-21 /pmc/articles/PMC8223991/ /pubmed/34063839 http://dx.doi.org/10.3390/mi12060590 Text en © 2021 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 Article
Ibrahim, Ali M.
Padovani, Jose I.
Howe, Roger T.
Anis, Yasser H.
Modeling of Droplet Generation in a Microfluidic Flow-Focusing Junction for Droplet Size Control
title Modeling of Droplet Generation in a Microfluidic Flow-Focusing Junction for Droplet Size Control
title_full Modeling of Droplet Generation in a Microfluidic Flow-Focusing Junction for Droplet Size Control
title_fullStr Modeling of Droplet Generation in a Microfluidic Flow-Focusing Junction for Droplet Size Control
title_full_unstemmed Modeling of Droplet Generation in a Microfluidic Flow-Focusing Junction for Droplet Size Control
title_short Modeling of Droplet Generation in a Microfluidic Flow-Focusing Junction for Droplet Size Control
title_sort modeling of droplet generation in a microfluidic flow-focusing junction for droplet size control
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8223991/
https://www.ncbi.nlm.nih.gov/pubmed/34063839
http://dx.doi.org/10.3390/mi12060590
work_keys_str_mv AT ibrahimalim modelingofdropletgenerationinamicrofluidicflowfocusingjunctionfordropletsizecontrol
AT padovanijosei modelingofdropletgenerationinamicrofluidicflowfocusingjunctionfordropletsizecontrol
AT howerogert modelingofdropletgenerationinamicrofluidicflowfocusingjunctionfordropletsizecontrol
AT anisyasserh modelingofdropletgenerationinamicrofluidicflowfocusingjunctionfordropletsizecontrol