Evidence map›Paper›PMID 36014259›Full record

ArticleMicromachines2022

Bubble-Enhanced Mixing Induced by Standing Surface Acoustic Waves (SSAWs) in Microchannel.

Jingjing Zhang, Tengfei Zheng, Lin Tang, Hui Qi, Xiaoyu Wu, Linlong Zhu

Abstract 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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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.

Jingjing ZhangSchool of Mechatronics Engineering, Xi'an Technological University, Xi'an 710021, China.ORCID 0000-0002-2028-0375
Tengfei ZhengState Key Laboratory for Manufacturing Systems Engineering, Xi'an Jiaotong University, Xi'an 710049, China.ORCID 0000-0003-3198-5642
Lin TangSchool of Mechatronics Engineering, Xi'an Technological University, Xi'an 710021, China.
Hui QiSchool of Mechatronics Engineering, Xi'an Technological University, Xi'an 710021, China.
Xiaoyu WuSchool of Mechatronics Engineering, Xi'an Technological University, Xi'an 710021, China.
Linlong ZhuSchool of Mechatronics Engineering, Xi'an Technological University, Xi'an 710021, China.

Funding

Natural Science Basic Research Program of Shaanxi 2020JM-567Scientific Research Program for Youth Innovation Team Construction of Shaanxi Provincial Department of Education 21JP054Scientific Research Program of Shaanxi Provincial Educa-tion Department 18JK0379Shaanxi University Youth Innovation Team Project 20201020
6 · The paper itself

Abstract

BAW-based micromixers usually achieve mixing enhancement with acoustic-induced bubbles, while SAW-based micromixers usually enhance mixing efficiency by varying the configuration of IDTs and microchannels. In this paper, bubble-enhanced acoustic mixing induced by standing surface acoustic waves (SSAWs) in a microchannel is proposed and experimentally demonstrated. Significant enhancement in the mixing efficiency was achieved after the bubbles were stimulated in our acoustofluidic microdevice. With an applied voltage of 5 V, 50 times amplified, the proposed mixing microdevice could achieve 90.8% mixing efficiency within 60 s at a flow rate of 240 μL/h. The bubbles were generated from acoustic cavitation assisted by the temperature increase resulting from the viscous absorption of acoustic energy. Our results also suggest that a temperature increase is harmful to microfluidic devices and temperature monitoring. Regulation is essential, especially in chemical and biological applications.

Indexed as

acoustic cavitationacoustic micromixingbubblessurface acoustic wave

Identifiers

PMID36014259
PMCPMC9414155

What OpenQuestion holds

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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.