Evidence map›Paper›PMID 41157481›Full record

ArticleSensors (Basel, Switzerland)2025

Enhancing Microparticle Separation Efficiency in Acoustofluidic Chips via Machine Learning and Numerical Modeling.

Tamara Klymkovych, Nataliia Bokla, Wojciech Zabierowski, Dmytro Klymkovych

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. 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

4 authors.

Tamara KlymkovychDepartment of Semiconductor and Optoelectronic Devices, Lodz University of Technology, 116 Zeromskiego, 90-924 Łódź, Poland.ORCID 0000-0002-8022-368X
Nataliia BoklaDepartment of Semiconductor and Optoelectronic Devices, Lodz University of Technology, 116 Zeromskiego, 90-924 Łódź, Poland.ORCID 0000-0002-8919-6622
Wojciech ZabierowskiDepartment of Microelectronic and Computer Science, Lodz University of Technology, 221 Wólczańska, 90-924 Łódź, Poland.ORCID 0000-0002-6289-6637
Dmytro KlymkovychDepartment of Computer Design Systems, Lviv Polytechnic National University, 5 Mytropolyta Andreia, 79000 Lviv, Ukraine.ORCID 0009-0001-1265-9799

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An integrated approach for enhancing microparticle separation efficiency in acoustofluidic lab-on-a-chip systems is presented, combining numerical modeling in COMSOL 6.2 Multiphysics

Indexed as

acoustofluidicsCOMSOL Multiphysicslab-on-a-chipLivelink APImachine learningmicrofluidic simulationmicroparticle separationneural networksparameter optimizationreinforcement learning

Identifiers

PMID41157481
PMCPMC12567905

What Socratic 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 Socratic graph.