Evidence map›Paper›PMID 34202893›Full record

ArticleMicromachines2021

Mixing Mechanism of Microfluidic Mixer with Staggered Virtual Electrode Based on Light-Actuated AC Electroosmosis.

Liuyong Shi, Hanghang Ding, Xiangtao Zhong, Binfeng Yin, Zhenyu Liu, Teng Zhou

Abstract read
In one paragraph

Article in Micromachines, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

6 authors.

Liuyong ShiMechanical and Electrical Engineering College, Hainan University, Haikou 570228, China.
Hanghang DingMechanical and Electrical Engineering College, Hainan University, Haikou 570228, China.
Xiangtao ZhongMechanical and Electrical Engineering College, Hainan University, Haikou 570228, China.
Binfeng YinSchool of Mechanical Engineering, Yangzhou University, Yangzhou 225127, China.
Zhenyu LiuChangchun Institute of Optics, Fine Mechanics and Physics (CIOMP), Chinese Academy of Sciences, Changchun 130033, China.
Teng ZhouMechanical and Electrical Engineering College, Hainan University, Haikou 570228, China.ORCID 0000-0002-8744-9083

Funding

Hainan Provincial Natural Science Foundation of China 519MS021 and 2019RC032National Natural Science Foundation of China 61964006 and 52075138
6 · The paper itself

Abstract

In this paper, we present a novel microfluidic mixer with staggered virtual electrode based on light-actuated AC electroosmosis (LACE). We solve the coupled system of the flow field described by Navier-Stokes equations, the described electric field by a Laplace equation, and the concentration field described by a convection-diffusion equation via a finite-element method (FEM). Moreover, we study the distribution of the flow, electric, and concentration fields in the microchannel, and reveal the generating mechanism of the rotating vortex on the cross-section of the microchannel and the mixing mechanism of the fluid sample. We also explore the influence of several key geometric parameters such as the length, width, and spacing of the virtual electrode, and the height of the microchannel on mixing performance; the relatively optimal mixer structure is thus obtained. The current micromixer provides a favorable fluid-mixing method based on an optical virtual electrode, and could promote the comprehensive integration of functions in modern microfluidic-analysis systems.

Indexed as

computational fluid dynamics (CFD)electrokineticslight-actuated AC electroosmosis (LACE)microfluidic mixeroptical virtual electrode

Identifiers

PMID34202893
PMCPMC8306084

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.