Evidence map›Paper›PMID 41305094›Full record

ArticleSensors (Basel, Switzerland)2025

Research on the Design of Micromixer Based on Acoustic Streaming-Driven Sharp-Edge Structures.

Kaihao Bai, Heting Qiao, Jixiang Cai, Jinlong Hu, Zhiqi Wang

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Kaihao BaiSchool of Mechanical Engineering, Inner Mongolia University of Technology, Hohhot 010051, China.
Heting QiaoSchool of Mechanical Engineering, Inner Mongolia University of Technology, Hohhot 010051, China.
Jixiang CaiSchool of Mechanical Engineering, Inner Mongolia University of Technology, Hohhot 010051, China.
Jinlong HuSchool of Mechanical Engineering, Inner Mongolia University of Technology, Hohhot 010051, China.
Zhiqi WangSchool of Mechanical Engineering, Inner Mongolia University of Technology, Hohhot 010051, China.

Funding

Inner Mongolia Natural Science Foundation, China 2025QN05048
6 · The paper itself

Abstract

This paper presents a three-dimensional, acoustic streaming-driven circular micromixer with sharp-edge structures and the coupling mechanism between acoustic streaming and background flow in biological systems. A piezoelectric transducer induces vibrations in the sharp-edge structures, generating a localized, intense acoustic field that produces a nonlinear acoustic streaming vortex at the tip. The disk-shaped mixing chamber design enhances acoustic field perturbation. This study incorporates the actual background flow field into the model to elucidate the strong interaction between acoustic streaming and steady-state flow. In the sharp-edge structural region, structural curvature induces local variations in acoustic amplitude, generating a non-zero mean Reynolds stress that significantly perturbs the background laminar flow, reduces flow stability, and substantially enhances mixing. The effects of displacement amplitude, Reynolds number, sharp-edge angle, and excitation frequency on the mixing efficiency are systematically investigated. Furthermore, the mixing performances of two different fluids, water and blood, are compared to elucidate the influence of fluid properties on mixing behavior. This mechanism provides theoretical support for microscale active mixing and offers novel insights for microfluidic device design.

Indexed as

acoustic streamingmicromixermixing efficiencysharp-edge structures

Identifiers

PMID41305094
PMCPMC12656112

What OpenQuestion holds

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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.