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 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. H...

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Bibliographic Details
Published in:Scientific reports 2021-08, Vol.11 (1), p.16201-16201, Article 16201
Main Authors: Gomez-Gonzalez, Emilio, Fernandez-Muñoz, Beatriz, Barriga-Rivera, Alejandro, Navas-Garcia, Jose Manuel, Fernandez-Lizaranzu, Isabel, Munoz-Gonzalez, Francisco Javier, Parrilla-Giraldez, Ruben, Requena-Lancharro, Desiree, Guerrero-Claro, Manuel, Gil-Gamboa, Pedro, Rosell-Valle, Cristina, Gomez-Gonzalez, Carmen, Mayorga-Buiza, Maria Jose, Martin-Lopez, Maria, Muñoz, Olga, Martin, Juan Carlos Gomez, Lopez, Maria Isabel Relimpio, Aceituno-Castro, Jesus, Perales-Esteve, Manuel A., Puppo-Moreno, Antonio, Cozar, Francisco Jose Garcia, Olvera-Collantes, Lucia, de los Santos-Trigo, Silvia, Gomez, Emilia, Pernaute, Rosario Sanchez, Padillo-Ruiz, Javier, Marquez-Rivas, Javier
Format: Article
Language:English
Subjects:
639/624/1107/527/1989
692/699/255/2514
Biofilms
Discriminant analysis
Food industry
Humanities and Social Sciences
Image processing
Infectious diseases
multidisciplinary
Neural networks
Pandemics
Saliva
Science
Science (multidisciplinary)
Severe acute respiratory syndrome coronavirus 2
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Summary:Optical 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· μ 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.
ISSN:2045-2322
2045-2322
DOI:10.1038/s41598-021-95756-3