Evidence map›Paper›PMID 42393186›Full record

ArticleScientific reports2026

Correlation of dielectrophoretic crossover frequency with optical density and plate counts for assessing Staphylococcus aureus concentration analysis.

Arash Zulkarnain, Akmal Suhaimi, Abdullah Abdulhameed, Revathy Deivasigamani, Noraziah Mohamad Zin, Amin Ahmad Kayani, Muhamad Ramdzan Buyong

Abstract read
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In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

7 authors.

Arash ZulkarnainInstitute of Microengineering and Nanoelectronics (IMEN), Universiti Kebangsaan Malaysia, 43600, Bangi, Selangor, Malaysia.
Akmal SuhaimiInstitute of Microengineering and Nanoelectronics (IMEN), Universiti Kebangsaan Malaysia, 43600, Bangi, Selangor, Malaysia.
Abdullah AbdulhameedCenter for Communication Systems and Sensing, King Fahd University of Petroleum & Minerals, 31261, Dhahran, Saudi Arabia.
Revathy DeivasigamaniInstitute of Microengineering and Nanoelectronics (IMEN), Universiti Kebangsaan Malaysia, 43600, Bangi, Selangor, Malaysia.
Noraziah Mohamad ZinCenter for Diagnostic, Therapeutic and Investigative Studies Faculty of Health Sciences, Universiti Kebangsaan Malaysia Jalan Raja Muda Abdul Aziz, 50300, Kuala Lumpur, Malaysia.
Amin Ahmad KayaniFunctional Materials and Microsystems Research Group and the Micro Nano Research Facility, RMIT University, Melbourne, Australia.
Muhamad Ramdzan BuyongInstitute of Microengineering and Nanoelectronics (IMEN), Universiti Kebangsaan Malaysia, 43600, Bangi, Selangor, Malaysia. muhdramdzan@ukm.edu.my.

Funding

Australian Research Council H210100040Geran Universiti Penyelidikan UKM GUP-2024-070Kementerian Sains, Teknologi dan Inovasi TDF09241800
6 · The paper itself

Abstract

Rapid and accurate assessment of bacterial concentration is essential, yet conventional methods remain constrained by low detection sensitivity at low concentrations with long processing times. Optical density (OD₆₂₅) measurements report a detection sensitivity value of approximately of 93% for high concentrations of [Formula: see text] CFU/mL. Plate count assays under similar bacteria parameters exhibit 62% and require > 24 h for incubation and colony enumeration. In this study, we introduce the dielectrophoretic (DEP)-based crossover frequency (f

Indexed as

ElectrophoresisStaphylococcus aureusColony Count, MicrobialConcentrationConductivityCorrelationCrossover frequency fx0Detection sensitivityDielectrophoresisLinear regressionOD₆₂₅Plate countStaphylococcus aureusValidation

Identifiers

PMID42393186
PMCPMC13486669

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.