Evidence map›Paper›PMID 28702573›Full record

ArticleLab on a chip2017

Liter-scale production of uniform gas bubbles via parallelization of flow-focusing generators.

Heon-Ho Jeong, Sagar Yadavali, David Issadore, Daeyeon Lee

Abstract read
In one paragraph

Article in Lab on a chip, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
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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.

Heon-Ho JeongDepartment of Chemical and Biomolecular Engineering, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA. daeyeon@seas.upenn.edu.
Sagar Yadavali
David Issadore
Daeyeon Lee

Funding

Tunable microbubbles for antivascular ultrasoundR01EB022612 · NIBIB · UNIVERSITY OF PENNSYLVANIA · PI SEHGAL, CHANDRA M · 2016 to 2019
$1.6M
A micro Hall chip for circulating microvesicle based cancer monitoringR21CA182336 · NCI · UNIVERSITY OF PENNSYLVANIA · PI ISSADORE, DAVID AARON · 2014 to 2016
$664k
NCI NIH HHS R21 CA182336NIBIB NIH HHS R01 EB022612
6 · The paper itself

Abstract

Microscale gas bubbles have demonstrated enormous utility as versatile templates for the synthesis of functional materials in medicine, ultra-lightweight materials and acoustic metamaterials. In many of these applications, high uniformity of the size of the gas bubbles is critical to achieve the desired properties and functionality. While microfluidics have been used with success to create gas bubbles that have a uniformity not achievable using conventional methods, the inherently low volumetric flow rate of microfluidics has limited its use in most applications. Parallelization of liquid droplet generators, in which many droplet generators are incorporated onto a single chip, has shown great promise for the large scale production of monodisperse liquid emulsion droplets. However, the scale-up of monodisperse gas bubbles using such an approach has remained a challenge because of possible coupling between parallel bubbles generators and feedback effects from the downstream channels. In this report, we systematically investigate the effect of factors such as viscosity of the continuous phase, capillary number, and gas pressure as well as the channel uniformity on the size distribution of gas bubbles in a parallelized microfluidic device. We show that, by optimizing the flow conditions, a device with 400 parallel flow focusing generators on a footprint of 5 × 5 cm

Indexed as

Models, ChemicalEmulsionsGasesMicrofluidic Analytical TechniquesMicrofluidicsPressureViscosityEmulsionsGases

Identifiers

PMID28702573
PMCPMC5636638

What OpenQuestion holds

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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.