%0 Journal Article 
%A Gómez‑González, Emilio
%A Barriga‑Rivera, Alejandro
%A Fernández‑Muñoz, Beatriz
%A Navas‑García, José Manuel
%A Fernández‑Lizaranzu, Isabel
%A Munoz‑González, Francisco Javier
%A Parrilla‑Giráldez, Rubén
%A Requena‑Lancharro, Desiree
%A Gil‑Gamboa, Pedro
%A Rosell‑Valle, Crsitina
%A Gómez‑González, Carmen
%A Mayorga‑Buiza, Maria José
%A Martín‑López, María
%A Muñoz, Olga
%A Gómez Martín, Juan Carlos
%A Relimpio López, María Isabel
%A Aceituno‑Castro, Jesús
%A Perales‑Esteve, Manuel A.
%A Puppo‑Moreno, Antonio
%A García Cózar, Francisco José
%A Olvera Collantes, Lucía
%A Gómez‑Díaz, Raquel
%A de los Santos‑Trigo, Silvia
%A Huguet‑Carrasco, Montserrat
%A Rey, Manuel
%A Gómez, Emilia
%A Sánchez Pernaute, Rosario
%A Padillo‑Ruiz, Javier
%A Márquez‑Rivas, Javier
%T Optical imaging spectroscopy for rapid, primary screening of SARS-CoV-2: a proof of concept
%D 2022
%@ 2045-2322
%U http://hdl.handle.net/10498/26562
%X 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 mu L 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.
%~ Universidad de Cádiz