Evidence map›Paper›PMID 36144009›Full record

ArticleMicromachines2022

Mixing Performance of a Planar Asymmetric Contraction-and-Expansion Micromixer.

Daigo Natsuhara, Ryogo Saito, Shunya Okamoto, Moeto Nagai, Takayuki Shibata

Open access · goldAbstract read
In one paragraph

Article in Micromachines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.5field-weighted citation impact, top 42% of its field
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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Developing Micro/Nanostructured Fluidic Mixing Technology for Biomedical Applications.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  3. Review
  4. Article
  5. 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 at 1 institution in 1 country.

Daigo NatsuharaDepartment of Mechanical Engineering, Toyohashi University of Technology, Toyohashi 441-8580, Japan.
Ryogo SaitoDepartment of Mechanical Engineering, Toyohashi University of Technology, Toyohashi 441-8580, Japan.
Shunya OkamotoDepartment of Mechanical Engineering, Toyohashi University of Technology, Toyohashi 441-8580, Japan.
Moeto NagaiDepartment of Mechanical Engineering, Toyohashi University of Technology, Toyohashi 441-8580, Japan.ORCID 0000-0002-7852-7772
Takayuki ShibataDepartment of Mechanical Engineering, Toyohashi University of Technology, Toyohashi 441-8580, Japan.ORCID 0000-0003-0972-2950
Toyohashi University of Technology · JP

Funding

Knowledge Hub Aichi, Priority Research Project from Aichi Prefectural Government, Japan no numberThe Cooperative Project for Innovative Research from Toyohashi University of Technology, Japan no number
6 · The paper itself

Abstract

Micromixers are one of the critical components in microfluidic devices. They significantly affect the efficiency and sensitivity of microfluidics-based lab-on-a-chip systems. This study introduces an efficient micromixer with a simple geometrical feature that enables easy incorporation in a microchannel network without compromising the original design of microfluidic devices. The study proposes a newly designed planar passive micromixer, termed a planar asymmetric contraction-and-expansion (P-ACE) micromixer, with asymmetric vertical obstacle structures. Numerical simulation and experimental investigation revealed that the optimally designed P-ACE micromixer exhibited a high mixing efficiency of 80% or more within a microchannel length of 10 mm over a wide range of Reynolds numbers (0.13 ≤

Indexed as

lab-on-a-chipmicrofluidic devicepassive micromixerplanar asymmetric contraction-and-expansion micromixer

Identifiers

PMID36144009
PMCPMC9504961
OpenAlexW4293217337

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.