ArticleMicromachines2021
Modeling of Droplet Generation in a Microfluidic Flow-Focusing Junction for Droplet Size Control.
Article in Micromachines, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 35 citations in OpenAlex.
- A Droplet-Based Microfluidic Platform for High-Throughput Culturing of Yeast Cells in Various Conditions.Micromachines · 2024Article
- 3D printing in microfluidics: experimental optimization of droplet size and generation time through flow focusing, phase, and geometry variation.RSC advances · 2024Article
- Flexible Toolbox of High-Precision Microfluidic Modules for Versatile Droplet-Based Applications.Micromachines · 2024Article
- Multiplexed fluorescence and scatter detection with single cell resolution using on-chip fiber optics for droplet microfluidic applications.Microsystems & nanoengineering · 2024Article
- Effect of Flow Rate Modulation on Alginate Emulsification in Multistage Microfluidics.Micromachines · 2023Article
- Hybrid Digital-Droplet Microfluidic Chip for Applications in Droplet Digital Nucleic Acid Amplification: Design, Fabrication and Characterization.Sensors (Basel, Switzerland) · 2023Article
- Near-Infrared Spectroscopy Coupled with Chemometrics and Artificial Neural Network Modeling for Prediction of Emulsion Droplet Diameters.Micromachines · 2022Article
- A Portable, Negative-Pressure Actuated, Dynamically Tunable Microfluidic Droplet Generator.Micromachines · 2022Article
- Encapsulated Cell Dynamics in Droplet Microfluidic Devices with Sheath Flow.Micromachines · 2021Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
Abstract
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 (Qo/Qw) 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 Qo/Qw 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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.