Evidence map›Paper›PMID 30400450›Full record

ArticleMicromachines2017

An Integrated Artificial Cilia Based Microfluidic Device for Micropumping and Micromixing Applications.

Yu-An Wu, Bivas Panigrahi, Yueh-Hsun Lu, Chia-Yuan Chen

Abstract read
In one paragraph

Article in Micromachines, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
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  6. Review
  7. Article
  8. Article
  9. Review
  10. A microfluidic device forBiomicrofluidics · 2019
    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.

Yu-An WuDepartment of Mechanical Engineering, National Cheng Kung University, Tainan 701, Taiwan. n16041090@mail.ncku.edu.tw.
Bivas PanigrahiDepartment of Mechanical Engineering, National Cheng Kung University, Tainan 701, Taiwan. n18047068@mail.ncku.edu.tw.ORCID 0000-0002-5485-981X
Yueh-Hsun LuDepartment of Radiology, Taipei City Hospital, Zhongxing branch, Taipei 103, Taiwan. ataru.lu@gmail.com.
Chia-Yuan ChenDepartment of Mechanical Engineering, National Cheng Kung University, Tainan 701, Taiwan. chiayuac@mail.ncku.edu.tw.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A multi-purpose microfluidic device that can be used for both micromixing and micropropulsion operations has always been in demand, as it would simplify the various process flows associated with the current micro-total analysis systems. In this aspect, we propose a biomimetic artificial cilia-based microfluidic device that can efficiently facilitate both mixing and propulsion sequentially at the micro-scale. A rectangular microfluidic device consists of four straight microchannels that were fabricated using the microfabrication technique. An array of artificial cilia was embedded within one of the channel's confinement through the aforementioned technique. A series of image processing and micro-particle image velocimetry technologies were employed to elucidate the micromixing and micropropulsion phenomena. Experiment results demonstrate that, with this proposed microfluidic device, a maximum micromixing efficiency and flow rate of 0.84 and 0.089 µL/min, respectively, can be achieved. In addition to its primary application as a targeted drug delivery system, where a drug needs to be homogeneously mixed with its carrier prior to its administration into the target body, this microfluidic device can be used as a micro-total analysis system for the handling of other biological specimens.

Indexed as

artificial ciliahydrodynamicsmicromixingmicro-particle image velocimetry (µPIV)micropropulsion

Identifiers

PMID30400450
PMCPMC6190408

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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.