Accessible LAMP-Enabled Rapid Test (ALERT) for Detecting SARS-CoV-2 Article Swipe
Ali Bektaş
,
Michael F. Covington
,
Guy Aidelberg
,
Aníbal Arce
,
Tamara Matúte
,
Isaac Núñez
,
Julia Walsh
,
David Boutboul
,
Constance Delaugerre
,
Ariel B. Lindner
,
Fernán Federici
,
Anitha D. Jayaprakash
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.3390/v13050742
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.3390/v13050742
The coronavirus disease 2019 (COVID-19) pandemic has highlighted bottlenecks in large-scale, frequent testing of populations for infections. Polymerase chain reaction (PCR)-based diagnostic tests are expensive, reliant on centralized labs, can take days to deliver results, and are prone to backlogs and supply shortages. Antigen tests that bind and detect the surface proteins of a virus are rapid and scalable but suffer from high false negative rates. To address this problem, an inexpensive, simple, and robust 60-minute do-it-yourself (DIY) workflow to detect viral RNA from nasal swabs or saliva with high sensitivity (0.1 to 2 viral particles/μL) and specificity (>97% true negative rate) utilizing reverse transcription loop-mediated isothermal amplification (RT-LAMP) was developed. ALERT (Accessible LAMP-Enabled Rapid Test) incorporates the following features: (1) increased shelf-life and ambient temperature storage, compared to liquid reaction mixes, by using wax layers to isolate enzymes from other reagents; (2) improved specificity compared to other LAMP end-point reporting methods, by using sequence-specific QUASR (quenching of unincorporated amplification signal reporters); (3) increased sensitivity, compared to methods without purification through use of a magnetic wand to enable pipette-free concentration of sample RNA and cell debris removal; (4) quality control with a nasopharyngeal-specific mRNA target; and (5) co-detection of other respiratory viruses, such as influenza B, by multiplexing QUASR-modified RT-LAMP primer sets. The flexible nature of the ALERT workflow allows easy, at-home and point-of-care testing for individuals and higher-throughput processing for labs and hospitals. With minimal effort, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-specific primer sets can be swapped out for other targets to repurpose ALERT to detect other viruses, microorganisms, or nucleic acid-based markers.
Related Topics
Concepts
Metadata
- Type
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- Language
- en
- Landing Page
- https://doi.org/10.3390/v13050742
- https://www.mdpi.com/1999-4915/13/5/742/pdf?version=1619431382
- OA Status
- gold
- Cited By
- 29
- References
- 50
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3157367227
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3157367227Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/v13050742Digital Object Identifier
- Title
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Accessible LAMP-Enabled Rapid Test (ALERT) for Detecting SARS-CoV-2Work title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2021Year of publication
- Publication date
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2021-04-23Full publication date if available
- Authors
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Ali Bektaş, Michael F. Covington, Guy Aidelberg, Aníbal Arce, Tamara Matúte, Isaac Núñez, Julia Walsh, David Boutboul, Constance Delaugerre, Ariel B. Lindner, Fernán Federici, Anitha D. JayaprakashList of authors in order
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https://doi.org/10.3390/v13050742Publisher landing page
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https://www.mdpi.com/1999-4915/13/5/742/pdf?version=1619431382Direct link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://www.mdpi.com/1999-4915/13/5/742/pdf?version=1619431382Direct OA link when available
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Loop-mediated isothermal amplification, Point of care, Pipette, Virology, Computer science, Biology, Chemistry, Medicine, DNA, Genetics, Physical chemistry, NursingTop concepts (fields/topics) attached by OpenAlex
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29Total citation count in OpenAlex
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2024: 3, 2023: 3, 2022: 12, 2021: 10, 2020: 1Per-year citation counts (last 5 years)
- References (count)
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50Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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