Evidence map›Paper›PMID 32966533›Full record

ArticleSoft matter2020

Formation and manipulation of ferrofluid droplets with magnetic fields in a microdevice: a numerical parametric study.

Venoos Amiri Roodan, Jenifer Gómez-Pastora, Ioannis H Karampelas, Cristina González-Fernández, Eugenio Bringas, Inmaculada Ortiz, Jeffrey J Chalmers, Edward P Furlani, Mark T Swihart

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Soft matter, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Droplet-Based Microfluidics: Applications in Pharmaceuticals.Pharmaceuticals (Basel, Switzerland) · 2023
    Review
  2. Article
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

9 authors.

Venoos Amiri RoodanDepartment of Chemical and Biological Engineering, University at Buffalo, The State University of New York, Buffalo, New York 14260, USA. swihart@buffalo.edu.ORCID http://orcid.org/0000-0002-8566-2323
Jenifer Gómez-PastoraWilliam G. Lowrie Department of Chemical and Biomolecular Engineering, The Ohio State University, 315 Koffolt Laboratories, 151 West Woodruff Avenue, Columbus, Ohio 43210, USA.ORCID http://orcid.org/0000-0002-5157-4130
Ioannis H KarampelasDepartment of Chemical and Biological Engineering, University at Buffalo, The State University of New York, Buffalo, New York 14260, USA. swihart@buffalo.edu.
Cristina González-FernándezDepartment of Chemical and Biomolecular Engineering, ETSIIT, University of Cantabria, Avda. Los Castros s/n, 39005 Santander, Spain.
Eugenio BringasDepartment of Chemical and Biomolecular Engineering, ETSIIT, University of Cantabria, Avda. Los Castros s/n, 39005 Santander, Spain.
Inmaculada OrtizDepartment of Chemical and Biomolecular Engineering, ETSIIT, University of Cantabria, Avda. Los Castros s/n, 39005 Santander, Spain.
Jeffrey J ChalmersWilliam G. Lowrie Department of Chemical and Biomolecular Engineering, The Ohio State University, 315 Koffolt Laboratories, 151 West Woodruff Avenue, Columbus, Ohio 43210, USA.
Edward P FurlaniDepartment of Chemical and Biological Engineering, University at Buffalo, The State University of New York, Buffalo, New York 14260, USA. swihart@buffalo.edu and Department of Electrical Engineering, University at Buffalo, The State University of New York, Buffalo, New York 14260, USA.ORCID http://orcid.org/0000-0003-1164-5923
Mark T SwihartDepartment of Chemical and Biological Engineering, University at Buffalo, The State University of New York, Buffalo, New York 14260, USA. swihart@buffalo.edu.ORCID http://orcid.org/0000-0002-9652-687X

Funding

Fractionation of Aged RBCs Based on Hemoglobin ContentR01HL131720 · NHLBI · OHIO STATE UNIVERSITY · PI CHALMERS, JEFFREY JOHN, PALMER, ANDRE FRANCIS · 2017 to 2020
$2.7M
NHLBI NIH HHS R01 HL131720
6 · The paper itself

Abstract

We present a numerical model that describes the microfluidic generation and manipulation of ferrofluid droplets under an external magnetic field. We developed a numerical Computational Fluid Dynamics (CFD) analysis for predicting and optimizing continuous flow generation and processing of ferrofluid droplets with and without the presence of a permanent magnet. More specifically, we explore the dynamics of oil-based ferrofluid droplets within an aqueous continuous phase under an external inhomogeneous magnetic field. The developed model determines the effect of the magnetic field on the droplet generation, which is carried out in a flow-focusing geometry, and its sorting in T-junction channels. Three-channel depths (25 μm, 30 μm, and 40 μm) were investigated to study droplet deformation under magnetic forces. Among the three, the 30 μm channel depth showed the most consistent droplet production for the studied range of flow rates. Ferrofluids with different loadings of magnetic nanoparticles were used to observe the behavior for different ratios of magnetic and hydrodynamic forces. Our results show that the effect of these factors on droplet size and generation rate can be tuned and optimized to produce consistent droplet generation and sorting. This approach involves fully coupled magnetic-fluid mechanics models and can predict critical details of the process including droplet size, shape, trajectory, dispensing rate, and the perturbation of the fluid co-flow for different flow rates. The model enables better understanding of the physical phenomena involved in continuous droplet processing and allows efficient parametric analysis and optimization.

Identifiers

PMID32966533
PMCPMC8256729

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Registered trials

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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.