Evidence map›Paper›PMID 40099910›Full record

ArticleACS sensors2025

Rapid Differentiation between Microplastic Particles Using Integrated Microwave Cytometry with 3D Electrodes.

Yagmur Ceren Alatas, Uzay Tefek, Sayedus Salehin, Hashim Alhmoud, M Selim Hanay

Abstract readLetter
In one paragraph

Article in ACS sensors, 2025. 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. Article
  2. Review
  3. 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.

Yagmur Ceren AlatasDepartment of Mechanical Engineering, Bilkent University, 06800, Ankara, Turkey.
Uzay TefekDepartment of Mechanical Engineering, Bilkent University, 06800, Ankara, Turkey.
Sayedus SalehinDepartment of Mechanical Engineering, Bilkent University, 06800, Ankara, Turkey.
Hashim AlhmoudDepartment of Mechanical Engineering, Bilkent University, 06800, Ankara, Turkey.ORCID 0000-0001-5557-6689
M Selim HanayDepartment of Mechanical Engineering, Bilkent University, 06800, Ankara, Turkey.ORCID 0000-0002-1928-044X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rapid identification of microparticles in liquid is an important problem in environmental and biomedical applications such as microplastic detection in water sources and physiological fluids. Existing spectroscopic techniques are usually slow and not compatible with flow-through systems. Here we analyze single microparticles in the 10-24 μm range using a combination of two electronic sensors in the same microfluidic system: a microwave capacitive sensor and a resistive pulse sensor. Together, this integrated sensor system yields an electrical signature of the analyte particles for their differentiation. To simplify data analysis, 3D electrode arrangements were used instead of planar electrodes so that the generated signal is unaffected by the height of the particle in the microfluidic channel. With this platform, we were able to distinguish between polystyrene (PS) and polyethylene (PE) microparticles. We showcase the sensitivity and speed of this technique and discuss the implications for the future application of microwave cytometry technology in the environmental and biomedical fields.

Indexed as

Microfluidic Analytical TechniquesMicroplasticsMicrowavesElectrodesParticle SizePolyethylenePolystyrenesMicroplasticsPolyethylenePolystyreneselectronic sensorsflow-through detectionimpedance cytometrylab-on-a-chipmicroplasticsmicrowave sensorsnanoplastics

Identifiers

PMID40099910
PMCPMC11959584

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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.