Comb-Tipped Coupled Cantilever Sensor for Enhanced Real-Time Detection of

Syed Ali Raza Bukhari, Elham Alaei, Zongchao Jia, Yongjun Lai

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. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing 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

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

4 authors.

Syed Ali Raza BukhariDepartment of Mechanical and Materials Engineering, Queen's University, Kingston, ON K7L 3N6, Canada.

Elham AlaeiDepartment of Mechanical and Materials Engineering, Queen's University, Kingston, ON K7L 3N6, Canada.

Zongchao JiaDepartment of Biomedical and Molecular Sciences, Queen's University, Kingston, ON K7L 3N6, Canada.ORCID 0000-0002-9322-9394

Yongjun LaiDepartment of Mechanical and Materials Engineering, Queen's University, Kingston, ON K7L 3N6, Canada.ORCID 0000-0002-2443-4239

Funding

Natural Sciences and Engineering Research Council of Canada (NSERC) RGPIN-2023-04614New Frontiers in Research Fund - Exploration NFRFE-2021-00510

6 · The paper itself

Abstract

The detection of particulate matter, particularly pathogenic bacteria, is essential in environmental monitoring, food safety, and clinical diagnostics. Among the various sensing techniques used, cantilever-based sensors offer a promising platform for label-free, real-time detection due to their high sensitivity. Here, we present a coupled cantilever sensor incorporating interdigitated comb-shaped structures to enhance dielectrophoretic (DEP) capture of

Indexed as

Biosensing TechniquesEscherichia coliElectrophoresisLimit of DetectionSignal-To-Noise Ratiocantilever sensordielectrophoresisE. coligap methodMEMS

Identifiers

PMID40648400

DOI10.3390/s25134145

PMCPMC12252440

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.