Evidence map›Paper›PMID 35624562›Full record

ArticleBiosensors2022

Passivated Impedimetric Sensors for Immobilization-Free Pathogen Detection by Isothermal Amplification and Melt Curve Analysis.

Matthias Steinmaßl, Jamila Boudaden, Güven Edgü, Lena Julie Freund, Simon Meyer, Noa Mordehay, Melissa Soto, Hanns-Erik Endres, Jost Muth, Dirk Prüfer and 2 more

Abstract read
In one paragraph

Article in Biosensors, 2022. 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

12 authors.

Matthias SteinmaßlFraunhofer Research Institution for Microsystems and Solid State Technology EMFT, 80686 Munich, Germany.ORCID 0000-0003-3642-9899
Jamila BoudadenFraunhofer Research Institution for Microsystems and Solid State Technology EMFT, 80686 Munich, Germany.ORCID 0000-0002-5029-3230
Güven EdgüFraunhofer Institute for Molecular Biology and Applied Ecology IME, 52074 Aachen, Germany.ORCID 0000-0002-9812-5148
Lena Julie FreundFraunhofer Institute for Molecular Biology and Applied Ecology IME, 52074 Aachen, Germany.
Simon MeyerHochschule München, University of Applied Sciences, 80686 Munich, Germany.
Noa MordehayHochschule München, University of Applied Sciences, 80686 Munich, Germany.
Melissa SotoCenter for Systems Biotechnology, Fraunhofer Chile Research Foundation, Santiago 7500588, Chile.
Hanns-Erik EndresFraunhofer Research Institution for Microsystems and Solid State Technology EMFT, 80686 Munich, Germany.ORCID 0000-0003-0339-4108
Jost MuthFraunhofer Institute for Molecular Biology and Applied Ecology IME, 52074 Aachen, Germany.
Dirk PrüferFraunhofer Institute for Molecular Biology and Applied Ecology IME, 52074 Aachen, Germany.
Wilfried LerchFraunhofer Research Institution for Microsystems and Solid State Technology EMFT, 80686 Munich, Germany.
Christoph KutterFraunhofer Research Institution for Microsystems and Solid State Technology EMFT, 80686 Munich, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ongoing SARS-CoV-2 pandemic demonstrates that the capacity of centralized clinical diagnosis laboratories represents a significant limiting factor in the global fight against the newly emerged virus. Scaling up these capacities also requires simple and robust methods for virus diagnosis to be easily driven by untrained personnel in a point-of-care (POC) environment. The use of impedance sensors reduces the complexity and costs of diagnostic instruments and increases automation of diagnosis processes. We present an impedance point-of-care system (IMP-POCS) that uses interdigitated electrodes surrounded by an integrated heating meander to monitor loop-mediated isothermal amplification (LAMP) and melt curve analysis (MCA) consecutively in a short time. MCA permits distinguishing false- from true-positive results and significantly raises the validity of pathogen detection. Conclusively, the herein-developed miniaturized total analysis system (µTAS) represents a powerful and promising tool for providing reliable, low-cost alternatives to standard clinical diagnosis.

Indexed as

COVID-19SARS-CoV-2HumansPoint-of-Care SystemsSensitivity and SpecificityimpedanceLAMPmelt curve analysismicroheatingpoint-of-carevirus detection

Identifiers

PMID35624562
PMCPMC9138539

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.