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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.
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),   
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