Evidence map›Paper›PMID 39459146›Full record

ArticleMicromachines2024

Miniaturized Pathogen Detection System Using Magnetic Nanoparticles and Microfluidics Technology.

Benjamin Garlan, Amine Rabehi, Kieu Ngo, Sophie Neveu, Reza Askari Moghadam, Hamid Kokabi

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. Article
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

6 authors.

Benjamin GarlanGroup of Electrical Engineering of Paris (GeePs), Sorbonne Université, CNRS UMR8507, 75005 Paris, France.
Amine RabehiGroup of Electrical Engineering of Paris (GeePs), Sorbonne Université, CNRS UMR8507, 75005 Paris, France.
Kieu NgoLaboratoire de Réactivité de Surface, LRS, Sorbonne Université, UMR CNRS 7197, 75252 Paris, France.
Sophie NeveuLaboratoire Physicochimie des Electrolytes et Nanosystèmes InterfaciauX, PHENIX, Sorbonne Université, UMR CNRS 8234, 75252 Paris, France.ORCID 0000-0002-7118-4447
Reza Askari MoghadamCNRS, INSERM, Laboratoire d'Imagerie Biomédicale, LIB, Sorbonne Université, 75006 Paris, France.ORCID 0000-0001-8394-7256
Hamid KokabiGroup of Electrical Engineering of Paris (GeePs), Sorbonne Université, CNRS UMR8507, 75005 Paris, France.

Funding

CNRS Ingénierie 276 887
6 · The paper itself

Abstract

Rapid detection of a biological agent is essential to anticipate a threat to the protection of biodiversity and ecosystems. Our goal is to miniaturize a magnetic pathogen detection system in order to fabricate an efficient and portable system. The detection device is based on flat, multilayer coils associated with microfluidic structures to detect magnetic nanoparticles linked to pathogen agents. One type of immunological diagnosis is based on the measurement of the magnetic sensitivity of magnetic nanoparticles (MNPs), which are markers connected to pathogens. This method of analysis involves the coupling of antibodies or antigen proteins with MNPs. Among the available magnetic techniques, the frequency mixing method has a definite advantage by making it possible to quantify MNPs. An external magnetic field composed of a low- and a high-frequency field is applied to the sample reservoir. Then, the response signal is measured and analyzed. In this paper, magnetic microcoils are implemented on a multilayer Printed Circuit Board (PCB), and a microfluidics microstructure is designed in connection with the planar coils. Simulation software, COMSOL version 5.3, provides an analytical perspective to choose the number of turns in magnetic coils and to understand the effects of changing the shape and dimensions of the microfluidics microstructure.

Indexed as

frequency mixing methodmagnetic nanoparticlemicrofluidicspathogen detection

Identifiers

PMID39459146
PMCPMC11509726

What OpenQuestion holds

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LicenceCC BY
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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.