Evidence map›Paper›PMID 28496152›Full record

ArticleScientific reports2017

Rapid, Self-driven Liquid Mixing on Open-Surface Microfluidic Platforms.

Jared M Morrissette, Pallab Sinha Mahapatra, Aritra Ghosh, Ranjan Ganguly, Constantine M Megaridis

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
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  4. Review
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  6. Article
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  9. Article
  10. Surface Treatments to Enhance the Functionality of PPEs.Transactions of the Indian National Academy of Engineering : an international journal of engineering and technology · 2020
    Article
  11. Article
  12. 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

5 authors.

Jared M MorrissetteDepartment of Mechanical and Industrial Engineering, University of Illinois at Chicago, Chicago, IL, 60607-7022, United States.
Pallab Sinha MahapatraDepartment of Mechanical and Industrial Engineering, University of Illinois at Chicago, Chicago, IL, 60607-7022, United States.
Aritra GhoshDepartment of Mechanical and Industrial Engineering, University of Illinois at Chicago, Chicago, IL, 60607-7022, United States.
Ranjan GangulyDepartment of Power Engineering, Jadavpur University, Kolkata, 700098, India.
Constantine M MegaridisDepartment of Mechanical and Industrial Engineering, University of Illinois at Chicago, Chicago, IL, 60607-7022, United States. cmm@uic.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Self-driven surface micromixers (SDSM) relying on patterned-wettability technology provide an elegant solution for low-cost, point-of-care (POC) devices and lab-on-a-chip (LOC) applications. We present a SDSM fabricated by strategically patterning three wettable wedge-shaped tracks onto a non-wettable, flat surface. This SDSM operates by harnessing the wettability contrast and the geometry of the patterns to promote mixing of small liquid volumes (µL droplets) through a combination of coalescence and Laplace pressure-driven flow. Liquid droplets dispensed on two juxtaposed branches are transported to a coalescence station, where they merge after the accumulated volumes exceed a threshold. Further mixing occurs during capillary-driven, advective transport of the combined liquid over the third wettable track. Planar, non-wettable "islands" of different shapes are also laid on this third track to alter the flow in such a way that mixing is augmented. Several SDSM designs, each with a unique combination of island shapes and positions, are tested, providing a greater understanding of the different mixing regimes on these surfaces. The study offers design insights for developing low-cost surface microfluidic mixing devices on open substrates.

Identifiers

PMID28496152
PMCPMC5431963

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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.