Optical imaging spectroscopy for rapid, primary screening of SARS-CoV-2: a proof of concept.
Journal
Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288
Informations de publication
Date de publication:
18 02 2022
18 02 2022
Historique:
received:
22
09
2021
accepted:
28
01
2022
entrez:
19
2
2022
pubmed:
20
2
2022
medline:
26
2
2022
Statut:
epublish
Résumé
Effective testing is essential to control the coronavirus disease 2019 (COVID-19) transmission. Here we report a-proof-of-concept study on hyperspectral image analysis in the visible and near-infrared range for primary screening at the point-of-care of SARS-CoV-2. We apply spectral feature descriptors, partial least square-discriminant analysis, and artificial intelligence to extract information from optical diffuse reflectance measurements from 5 µL fluid samples at pixel, droplet, and patient levels. We discern preparations of engineered lentiviral particles pseudotyped with the spike protein of the SARS-CoV-2 from those with the G protein of the vesicular stomatitis virus in saline solution and artificial saliva. We report a quantitative analysis of 72 samples of nasopharyngeal exudate in a range of SARS-CoV-2 viral loads, and a descriptive study of another 32 fresh human saliva samples. Sensitivity for classification of exudates was 100% with peak specificity of 87.5% for discernment from PCR-negative but symptomatic cases. Proposed technology is reagent-free, fast, and scalable, and could substantially reduce the number of molecular tests currently required for COVID-19 mass screening strategies even in resource-limited settings.
Identifiants
pubmed: 35181702
doi: 10.1038/s41598-022-06393-3
pii: 10.1038/s41598-022-06393-3
pmc: PMC8857323
doi:
Types de publication
Evaluation Study
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
2356Subventions
Organisme : Instituto de Salud Carlos III
ID : COV20-00080
Organisme : Instituto de Salud Carlos III
ID : COV20-00173
Organisme : Ministerio de Ciencia e Innovación
ID : EQC2019-006240-P
Organisme : Agencia Estatal de Investigación
ID : RTI2018-094465-J
Informations de copyright
© 2022. The Author(s).
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