Evidence map›Paper›PMID 33268779›Full record

ArticleNature communications2020

Disposable silicon-based all-in-one micro-qPCR for rapid on-site detection of pathogens.

Estefania Nunez-Bajo, Alexander Silva Pinto Collins, Michael Kasimatis, Yasin Cotur, Tarek Asfour, Ugur Tanriverdi, Max Grell, Matti Kaisti, Guglielmo Senesi, Karen Stevenson and 1 more

Erratum issuedAbstract read
In one paragraph

Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Estefania Nunez-BajoDepartment of Bioengineering, Imperial College London, London, SW7 2AZ, UK.
Alexander Silva Pinto CollinsDepartment of Bioengineering, Imperial College London, London, SW7 2AZ, UK.
Michael KasimatisDepartment of Bioengineering, Imperial College London, London, SW7 2AZ, UK.
Yasin CoturDepartment of Bioengineering, Imperial College London, London, SW7 2AZ, UK.
Tarek AsfourDepartment of Bioengineering, Imperial College London, London, SW7 2AZ, UK.
Ugur TanriverdiDepartment of Bioengineering, Imperial College London, London, SW7 2AZ, UK.
Max GrellDepartment of Bioengineering, Imperial College London, London, SW7 2AZ, UK.
Matti KaistiDepartment of Bioengineering, Imperial College London, London, SW7 2AZ, UK.
Guglielmo SenesiDepartment of Bioengineering, Imperial College London, London, SW7 2AZ, UK.
Karen StevensonMoredun Research Institute, Pentlands Science Park, Bush Loan, Edinburgh, Scotland, EH26 0PZ, UK.
Firat GüderDepartment of Bioengineering, Imperial College London, London, SW7 2AZ, UK. guder@imperial.ac.uk.ORCID http://orcid.org/0000-0001-5454-0609

Funding

Biotechnology and Biological Sciences Research Council 2177734Wellcome TrustWellcome Trust 207687/Z/17/Z
6 · The paper itself

Abstract

Rapid screening and low-cost diagnosis play a crucial role in choosing the correct course of intervention when dealing with highly infectious pathogens. This is especially important if the disease-causing agent has no effective treatment, such as the novel coronavirus SARS-CoV-2, and shows no or similar symptoms to other common infections. Here, we report a disposable silicon-based integrated Point-of-Need transducer (TriSilix) for real-time quantitative detection of pathogen-specific sequences of nucleic acids. TriSilix can be produced at wafer-scale in a standard laboratory (37 chips of 10 × 10 × 0.65 mm in size can be produced in 7 h, costing ~0.35 USD per device). We are able to quantitatively detect a 563 bp fragment of genomic DNA of Mycobacterium avium subspecies paratuberculosis through real-time PCR with a limit-of-detection of 20 fg, equivalent to a single bacterium, at the 35

Indexed as

AnimalsCOVID-19DNA, BacterialHumansMycobacterium avium subsp. paratuberculosisNucleic Acid Amplification TechniquesOligonucleotide Array Sequence AnalysisRNA, ViralSARS-CoV-2Sensitivity and SpecificitySiliconDNA, BacterialRNA, ViralSilicon

Identifiers

PMID33268779
PMCPMC7710731

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.