Gomez-Gonzalez, EmilioFernandez-Muñoz, BeatrizBarriga-Rivera, AlejandroNavas-Garcia, Jose ManuelFernandez-Lizaranzu, IsabelMunoz-Gonzalez, Francisco JavierParrilla-Giraldez, RubenRequena-Lancharro, DesireeGuerrero-Claro, ManuelGil-Gamboa, PedroRosell-Valle, CristinaGomez-Gonzalez, CarmenMayorga-Buiza, Maria JoseMartin-Lopez, MariaMuñoz, OlgaMartin, Juan Carlos GomezLopez, Maria Isabel RelimpioAceituno-Castro, JesusPerales-Esteve, Manuel APuppo-Moreno, AntonioCozar, Francisco Jose GarciaOlvera-Collantes, Luciade Los Santos-Trigo, SilviaGomez, EmiliaPernaute, Rosario SanchezPadillo-Ruiz, JavierMarquez-Rivas, Javier2023-02-092023-02-092021-07-30Gomez-Gonzalez E, Fernandez-Muñoz B, Barriga-Rivera A, Navas-Garcia JM, Fernandez-Lizaranzu I, Munoz-Gonzalez FJ, et al. Hyperspectral image processing for the identification and quantification of lentiviral particles in fluid samples. Sci Rep. 2021 Aug 10;11(1):16201http://hdl.handle.net/10668/18356Optical spectroscopic techniques have been commonly used to detect the presence of biofilm-forming pathogens (bacteria and fungi) in the agro-food industry. Recently, near-infrared (NIR) spectroscopy revealed that it is also possible to detect the presence of viruses in animal and vegetal tissues. Here we report a platform based on visible and NIR (VNIR) hyperspectral imaging for non-contact, reagent free detection and quantification of laboratory-engineered viral particles in fluid samples (liquid droplets and dry residue) using both partial least square-discriminant analysis and artificial feed-forward neural networks. The detection was successfully achieved in preparations of phosphate buffered solution and artificial saliva, with an equivalent pixel volume of 4 nL and lowest concentration of 800 TU·[Formula: see text]L-1. This method constitutes an innovative approach that could be potentially used at point of care for rapid mass screening of viral infectious diseases and monitoring of the SARS-CoV-2 pandemic.enAttribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/Red Andaluza de Diseño y Traslación de Terapias AvanzadasMolecular diagnostic techniquesPoint-of-care systemsSalivaSensitivity and specificitySpectroscopy, near-infraredHEK293 cellsHumansImage processing, computer-assistedLentivirusLentivirus infectionsHyperspectral image processing for the identification and quantification of lentiviral particles in fluid samples.research article34376765open accessCélulas HEK293Infecciones por LentivirusProcesamiento de imagen asistido por computador10.1038/s41598-021-95756-32045-2322PMC8355230https://www.nature.com/articles/s41598-021-95756-3.pdfhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8355230/pdf