Evidence map›Paper›PMID 39858658›Full record

ArticleMicromachines2024

Analysis of Acoustic Surface Wave Focused Unidirectional Interdigital Transducers Using Coupling-of-Mode Theory.

Guopeng Hui, Tinglun Ao, Haotian Liu, Minglei Li, Chen Chen

Abstract read
In one paragraph

Article in Micromachines, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Acoustofluidic Biosensors.Micromachines · 2026
    Review
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.

Guopeng HuiSchool of Physics and Electronic Information, Yunnan Normal University, No. 1 Yuhua Area, Chenggong District, Kunming 650500, China.
Tinglun AoSchool of Physics and Electronic Information, Yunnan Normal University, No. 1 Yuhua Area, Chenggong District, Kunming 650500, China.
Haotian LiuSchool of Physics and Electronic Information, Yunnan Normal University, No. 1 Yuhua Area, Chenggong District, Kunming 650500, China.ORCID 0009-0009-8572-2523
Minglei LiSchool of Physics and Electronic Information, Yunnan Normal University, No. 1 Yuhua Area, Chenggong District, Kunming 650500, China.
Chen ChenSchool of Physics and Electronic Information, Yunnan Normal University, No. 1 Yuhua Area, Chenggong District, Kunming 650500, China.

Funding

National Natural Science Foundation of China 12264058Program of Science and Technology Plan of Yunnan Province of China 202301AT070083Yunnan Expert Workstation 202305AF150012
6 · The paper itself

Abstract

In cell or droplet separation, high acoustic wave energy of a surface acoustic wave (SAW) device is required to generate sufficient acoustic radiation force. In this paper, the electrode width-control floating electrode focused unidirectional interdigital transducer (EWC-FEFUDT) is proposed due to its enhanced focusing properties. The performance of the EWC-FEFUDT is investigated using the Coupling-of-Mode (COM) theory, and the COM parameter is extracted using the Finite Element Method (FEM). The four different forbidden band edge frequencies account for the unidirectionality of the proposed EWC-FEFUDT. A direction angle of ϕκ-ϕζ=44.5° of the EWC-FEFUDT (Design 3) is obtained, being fairly close to the optimum value of 45°. The EWC-FEFUDT (Design 3) has a lower insertion loss (IL) of -5.1 dB and greater unidirectionality (20 × log

Indexed as

coupling-of-mode theoryelectric potential standing waveelectrode width-control floating electrode unidirectional transducerfinite element methodreflection centersurface acoustic wavetransduction center

Identifiers

PMID39858658
PMCPMC11768027

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.