Hyperspectral image processing for the identification and quantification of lentiviral particles in fluid samples.

Optical spectroscopic techniques have been commonly used to detect the presence of biofilm-forming pathogens (bacteria and fungi) in the agrofood 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·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.

GÓMEZ-GONZÁLEZ Emilio;  FERNÁNDEZ-MUÑOZ Beatriz;  BARRIGA-RIVERA Alejandro;  NAVAS-GARCIA José Manuel;  FERNANDEZ-LIZARANZU Isabel;  MUÑOZ-GONZÁLEZ Francisco Javier;  PARRILLA-GIRALDEZ Ruben;  REQUENA-LANCHARRO Desiree;  GUERRERO-CLARO Manuel;  GIL-GAMBOA Pedro;  ROSELL-VALLE Cristina;  GOMEZ-GONZALEZ Carmen;  MAYORGA-BUIZA Maria Jose;  MARTÍN-LÓPEZ María;  MUÑOZ Olga;  GOMEZ-MARTÍN Juan Carlos;  RELIMPIO LOPEZ Maria Isabel;  ACEITUNO-CASTRO Jesus;  PERALES-ESTEVE Manuel A.;  PUPPO-MORENO Antonio;  GARCIA-COZAR Francisco Jose;  OLVERA-COLLANTES Lucia;  DE LOS SANTOS-TRIGO Silvia;  GOMEZ GUTIERREZ Emilia;  SANCHEZ-PERNAUTE Rosario;  PADILLO-RUIZ Javier;  MARQUEZ-RIVAS Javier; 

2021-08-11

NATURE PUBLISHING GROUP

JRC126156

2045-2322 (online),   

https://www.nature.com/articles/s41598-021-95756-3,    https://publications.jrc.ec.europa.eu/repository/handle/JRC126156,   

10.1038/s41598-021-95756-3 (online),