Evidence map›Paper›PMID 27134760›Full record

ArticleMicromachines2015

Floating Droplet Array: An Ultrahigh-Throughput Device for Droplet Trapping, Real-time Analysis and Recovery.

Louai Labanieh, Thi N Nguyen, Weian Zhao, Dong-Ku Kang

Abstract read
In one paragraph

Article in Micromachines, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Review
  2. On-demand light-driven release of droplets stabilizedMicrosystems & nanoengineering · 2023
    Article
  3. Review
  4. Article
  5. Review
  6. Article
  7. Article
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  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Counting Proteins in Single Cells with Addressable Droplet Microarrays.Journal of visualized experiments : JoVE · 2018
    Article
  16. Article
  17. 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

4 authors.

Louai LabaniehDepartment of Pharmaceutical Sciences, Department of Biomedical Engineering, Sue and Bill Gross Stem Cell Research Center, Chao Family Comprehensive Cancer Center, Edwards Lifesciences Center for Advance Cardiovascular Technology, University of California-Irvine, 845 Health Sciences Road, Irvine, CA 92697, USA.
Thi N NguyenDepartment of Pharmaceutical Sciences, Department of Biomedical Engineering, Sue and Bill Gross Stem Cell Research Center, Chao Family Comprehensive Cancer Center, Edwards Lifesciences Center for Advance Cardiovascular Technology, University of California-Irvine, 845 Health Sciences Road, Irvine, CA 92697, USA.
Weian ZhaoDepartment of Pharmaceutical Sciences, Department of Biomedical Engineering, Sue and Bill Gross Stem Cell Research Center, Chao Family Comprehensive Cancer Center, Edwards Lifesciences Center for Advance Cardiovascular Technology, University of California-Irvine, 845 Health Sciences Road, Irvine, CA 92697, USA.
Dong-Ku KangDepartment of Pharmaceutical Sciences, Department of Biomedical Engineering, Sue and Bill Gross Stem Cell Research Center, Chao Family Comprehensive Cancer Center, Edwards Lifesciences Center for Advance Cardiovascular Technology, University of California-Irvine, 845 Health Sciences Road, Irvine, CA 92697, USA.

Funding

Integrated Comprehensive Droplet Digital Detection (IC 3D) system for rapid detection of bacteria andantimicrobial resistanceR01AI117061 · NIAID · UNIVERSITY OF CALIFORNIA-IRVINE · PI ZHAO, WEIAN · 2015 to 2019
$5.1M
NIAID NIH HHS R01 AI117061
6 · The paper itself

Abstract

We describe the design, fabrication and use of a dual-layered microfluidic device for ultrahigh-throughput droplet trapping, analysis, and recovery using droplet buoyancy. To demonstrate the utility of this device for digital quantification of analytes, we quantify the number of droplets, which contain a β-galactosidase-conjugated bead among more than 100,000 immobilized droplets. In addition, we demonstrate that this device can be used for droplet clustering and real-time analysis by clustering several droplets together into microwells and monitoring diffusion of fluorescein, a product of the enzymatic reaction of β-galactosidase and its fluorogenic substrate FDG, between droplets.

Indexed as

digital detectiondroplet-based microfluidicsdroplet clusteringdroplet trappingfloating droplet arrayhigh-throughput analysis

Identifiers

PMID27134760
PMCPMC4849166

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.