Optical imaging spectroscopy for rapid, primary screening of SARS-CoV-2: a proof of concept
Year: 2022
Type: article
Abstract: 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.
Source: Scientific Reports
Authors: Emilio Gomez-Gonzalez, Alejandro Barriga-Rivera, Beatriz Fernandez-Muñoz, Jose Manuel Navas-Garcia, Isabel Fernandez-Lizaranzu, Francisco Javier Munoz-Gonzalez, Ruben Parrilla-Giraldez, Desiree Requena-Lancharro, Pedro Gil-Gamboa, Cristina Rosell-Valle, Carmen Gomez-Gonzalez, Maria Jose Mayorga-Buiza, Maria Martin-Lopez, Olga Muñoz, Juan Carlos Gomez-Martin, Maria Isabel Relimpio-Lopez, Jesus Aceituno-Castro, Manuel A. Perales-Esteve, Antonio Puppo-Moreno, Francisco Jose Garcia-Cozar, Lucia Olvera-Collantes, Raquel Gomez-Diaz, Silvia de los Santos-Trigo, Monserrat Huguet-Carrasco, Manuel Rey, Emilia Gomez, Rosario Sanchez-Pernaute, Javier Padillo-Ruiz, Javier Marquez-Rivas
Institutions: Instituto de Biomedicina de Sevilla, Universidad de Sevilla, The University of Sydney, Consejería de Salud y Consumo, Junta de Andalucía, Hospital Universitario Virgen del Rocío, Instituto de Astrofísica de Andalucía, Instituto de Salud Carlos III, Hospital Universitario Virgen Macarena, Calar Alto Observatory, Universidad de Cádiz, Biomedical Research and Innovation Institute of Cadiz, Technological Corporation of Andalusia, European Commission, Joint Research Center
Language: English
Subfield: Infectious Diseases
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $2,190
Awards: G1175115578, G1577046871, G1766238424, Diagnóstico basado en nanosensores e Identificación rápida en solución de disruptores de la interacción del virus SARS-Cov-2 con su receptor celular(NANOCOMPETE), G1855990336, G2262748287, G2309174360, G2601397997, G2660406951, G300979063, G3275705967, G3480869486, G3681454997, G4042783231, G410571670, G425668148, G430777504, G451917667, G5080475149, G5174630591, G5195188938, G5199606742, G5421974903, G5539308778, G5967599077, G6122222817, G6298273575, G7084143925, G7736885172, Prueba de concepto de detección rápida de superficies contaminadas por SARS-CoV-2 mediante análisis óptico y holográfico multiespectral con inteligencia artificial., G99296377
OpenAlex ID: W4213079667