Evidence map›Paper›PMID 34534949›Full record

ArticleBiosensors & bioelectronics2021

Accessible detection of SARS-CoV-2 through molecular nanostructures and automated microfluidics.

Haitao Zhao, Yan Zhang, Yuan Chen, Nicholas R Y Ho, Noah R Sundah, Auginia Natalia, Yu Liu, Qing Hao Miow, Yu Wang, Paul A Tambyah and 2 more

Open access · greenAbstract read
In one paragraph

Article in Biosensors & bioelectronics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
2.1field-weighted citation impact, top 12% of its field
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

17 citing papers in PubMed, 30 citations in OpenAlex.

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  10. Device integration of electrochemical biosensors.Nature reviews bioengineering · 2023
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  16. Recent advances in PCR-free nucleic acid detection for SARS-COV-2.Frontiers in bioengineering and biotechnology · 2022
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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 at 2 institutions in 1 country.

Haitao ZhaoInstitute for Health Innovation & Technology, National University of Singapore, Singapore.
Yan ZhangInstitute for Health Innovation & Technology, National University of Singapore, Singapore; Department of Biomedical Engineering, Faculty of Engineering, National University of Singapore, Singapore.
Yuan ChenInstitute for Health Innovation & Technology, National University of Singapore, Singapore; Department of Biomedical Engineering, Faculty of Engineering, National University of Singapore, Singapore.
Nicholas R Y HoInstitute for Health Innovation & Technology, National University of Singapore, Singapore; Institute of Molecular and Cell Biology, Agency for Science, Technology and Research, Singapore.
Noah R SundahInstitute for Health Innovation & Technology, National University of Singapore, Singapore; Department of Biomedical Engineering, Faculty of Engineering, National University of Singapore, Singapore.
Auginia NataliaInstitute for Health Innovation & Technology, National University of Singapore, Singapore; Department of Biomedical Engineering, Faculty of Engineering, National University of Singapore, Singapore.
Yu LiuInstitute for Health Innovation & Technology, National University of Singapore, Singapore; Department of Biomedical Engineering, Faculty of Engineering, National University of Singapore, Singapore.
Qing Hao MiowInfectious Diseases Translational Research Programme, Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
Yu WangInfectious Diseases Translational Research Programme, Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
Paul A TambyahInfectious Diseases Translational Research Programme, Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Division of Infectious Diseases, Department of Medicine, National University Hospital, Singapore.
Catherine W M OngInstitute for Health Innovation & Technology, National University of Singapore, Singapore; Infectious Diseases Translational Research Programme, Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Division of Infectious Diseases, Department of Medicine, National University Hospital, Singapore.
Huilin ShaoInstitute for Health Innovation & Technology, National University of Singapore, Singapore; Department of Biomedical Engineering, Faculty of Engineering, National University of Singapore, Singapore; Institute of Molecular and Cell Biology, Agency for Science, Technology and Research, Singapore; Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore, Singapore. Electronic address: huilin.shao@nus.edu.sg.
National University of Singapore · SGAgency for Science, Technology and Research · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate and accessible nucleic acid diagnostics is critical to reducing the spread of COVID-19 and resuming socioeconomic activities. Here, we present an integrated platform for the direct detection of SARS-CoV-2 RNA targets near patients. Termed electrochemical system integrating reconfigurable enzyme-DNA nanostructures (eSIREN), the technology leverages responsive molecular nanostructures and automated microfluidics to seamlessly transduce target-induced molecular activation into an enhanced electrochemical signal. Through responsive enzyme-DNA nanostructures, the technology establishes a molecular circuitry that directly recognizes specific RNA targets and catalytically enhances signaling; only upon target hybridization, the molecular nanostructures activate to liberate strong enzymatic activity and initiate cascading reactions. Through automated microfluidics, the system coordinates and interfaces the molecular circuitry with embedded electronics; its pressure actuation and liquid-guiding structures improve not only analytical performance but also automated implementation. The developed platform establishes a detection limit of 7 copies of RNA target per μl, operates against the complex biological background of native patient samples, and is completed in <20 min at room temperature. When clinically evaluated, the technology demonstrates accurate detection in extracted RNA samples and direct swab lysates to diagnose COVID-19 patients.

Indexed as

Biosensing TechniquesCOVID-19NanostructuresHumansMicrofluidicsRNA, ViralSARS-CoV-2RNA, ViralAutomated microfluidicsCOVID-19Electrochemical sensorMolecular nanostructuresNucleic acid detection

Identifiers

PMID34534949
PMCPMC8435073
OpenAlexW3200561133

What OpenQuestion holds

Textmetadata
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.