Evidence map›Paper›PMID 34063839›Full record

ArticleMicromachines2021

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

Ali M Ibrahim, Jose I Padovani, Roger T Howe, Yasser H Anis

Open access · goldAbstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.1field-weighted citation impact, top 13% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 35 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 2 countries.

Ali M IbrahimMechanical Design and Production Department, Faculty of Engineering, Cairo University, Giza 12613, Egypt.ORCID 0000-0002-2007-3173
Jose I PadovaniDepartment of Electrical Engineering, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0002-2997-3944
Roger T HoweDepartment of Electrical Engineering, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0002-4554-7347
Yasser H AnisMechanical Design and Production Department, Faculty of Engineering, Cairo University, Giza 12613, Egypt.ORCID 0000-0001-9516-489X
Cairo University · EGStanford University · US

Funding

NIH HHS NIH-P01HG000205
6 · The paper itself

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.

Indexed as

droplet generationdroplet modulationemulsionsmicrofluidics

Identifiers

PMID34063839
PMCPMC8223991
OpenAlexW3160070768

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.