Evidence map›Paper›PMID 35361434›Full record

ArticleAnalytica chimica acta2022

PD-LAMP smartphone detection of SARS-CoV-2 on chip.

Ashlee J Colbert, Dong Hoon Lee, Katherine N Clayton, Steven T Wereley, Jacqueline C Linnes, Tamara L Kinzer-Ursem

Open access · greenAbstract read
In one paragraph

Article in Analytica chimica acta, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
4.1field-weighted citation impact, top 5% 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

26 citing papers in PubMed, 51 citations in OpenAlex.

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  14. Mobile Efficient Diagnostics of Infectious Diseases via On-Chip RT-qPCR: MEDIC-PCR.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
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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

6 authors at 1 institution in 1 country.

Ashlee J ColbertWeldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA.
Dong Hoon LeeSchool of Mechanical Engineering, Purdue University, West Lafayette, IN, USA.
Katherine N ClaytonOmniVis Inc, South San Francisco, CA, USA.
Steven T WereleySchool of Mechanical Engineering, Purdue University, West Lafayette, IN, USA.
Jacqueline C LinnesWeldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA. Electronic address: jlinnes@purdue.edu.
Tamara L Kinzer-UrsemWeldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA. Electronic address: tursem@purdue.edu.
Purdue University West Lafayette · US

Funding

Smartphone-based diagnostic for HIV self-testingR61AI140474 · NIAID · PURDUE UNIVERSITY · PI LINNES, JACQUELINE · 2018 to 2020
$1.1M
6 · The paper itself

Abstract

In 2019 the COVID-19 pandemic, caused by SARS-CoV-2, demonstrated the urgent need for rapid, reliable, and portable diagnostics. The COVID-19 pandemic was declared in January 2020 and surges of the outbreak continue to reoccur. It is clear that early identification of infected individuals, especially asymptomatic carriers, plays a huge role in preventing the spread of the disease. The current gold standard diagnostic for SARS-CoV-2 is quantitative reverse transcription polymerase chain reaction (qRT-PCR) test based on the detection of the viral RNA. While RT-PCR is reliable and sensitive, it requires expensive centralized equipment and is time consuming (∼2 h or more); limiting its applicability in low resource areas. The FDA issued Emergency Use Authorizations (EUAs) for several COVID-19 diagnostics with an emphasis on point-of care (PoC) testing. Numerous RT-PCR and serological tests were approved for use at the point of care. Abbott's ID NOW, and Cue Health's COVID-19 test are of particular interest, which use isothermal amplification methods for rapid detection in under 20 min. We look to expand on the range of current PoC testing platforms with a new rapid and portable isothermal nucleic acid detection device. We pair reverse transcription loop mediated isothermal amplification (RT-LAMP) with a particle imaging technique, particle diffusometry (PD), to successfully detect SARS-CoV-2 in only 35 min on a portable chip with integrated heating. A smartphone device is used to image the samples containing fluorescent beads post-RT-LAMP and correlates decreased diffusivity to positive samples. We detect as little as 30 virus particles per μL from a RT-LAMP reaction in a microfluidic chip using a portable heating unit. Further, we can perform RT-LAMP from a diluted unprocessed saliva sample without RNA extraction. Additionally, we lyophilize SARS-CoV-2-specific RT-LAMP reactions that target both the N gene and the ORF1ab gene in the microfluidic chip, eliminating the need for cold storage. Our assay meets specific target product profiles outlined by the World Health Organization: it is specific to SARS-CoV-2, does not require cold storage, is compatible with digital connectivity, and has a detection limit of less than 35 × 10

Indexed as

COVID-19SARS-CoV-2HumansPandemicsRNA, ViralSmartphoneRNA, ViralDiagnosticLoop-mediated isothermal amplificationParticle diffusometryrapid detectionSARS-CoV-2Smartphone

Identifiers

PMID35361434
PMCPMC8905050
OpenAlexW4221089897

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.