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

Emilio Gómez-González ,Francisco Javier Munoz-Gonzalez,Manuel A Perales-Esteve,Olga Muñoz,Lucia Olvera-Collantes,Jesus Aceituno-Castro,Jose Manuel Navas-Garcia,Antonio Puppo-Moreno,Silvia De Los Santos-Trigo,Pedro Gil-Gamboa,Isabel Fernandez-Lizaranzu,Emilia Gómez ,Juan Carlos Gómez Martı́n ,María José Mayorga-Buiza ,Rubén Parrilla Giráldez ,Rosario Sánchez‐Pernaute ,Alejandro Barriga‐Rivera ,María Martín-López ,María Isabel López ,Javier Padillo-Ruíz ,Francisco García-Cozar ,Beatriz Fernández‐Muñoz ,Carmen Gómez-González ,Cristina Rosell‐Valle ,Desirée Requena-Lancharro ,Manuel Guerrero-Claro,Javier Márquez-Rivas

doi:10.1038/s41598-021-95756-3

Abstract

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·upmuL−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.

Highlights

Optical spectroscopic techniques have been commonly used to detect the presence of biofilm-forming pathogens in the agro-food industry
The diffuse optical reflectance spectra, converted to pseudoabsorbance (PA), were analysed following a pixel-based approach and integrated afterwards to obtain a perdroplet classification. They corresponded to 164 preparations in two fluids: 74 samples prepared in phosphate buffered solution (PBS) and 90 in artificial saliva (AS)
We have demonstrated it is possible to detect the presence of a virus, in this case a lab-engineered lentiviral particle, in a fluid using hyperspectral image processing techniques in the visible and NIR (VNIR) range

Summary

Introduction

Optical spectroscopic techniques have been commonly used to detect the presence of biofilm-forming pathogens (bacteria and fungi) in the agro-food industry. 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·μL−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. Despite the apparent limitations that may exist for the detection of viruses using optical spectroscopic imaging techniques, there are few studies that suggest its v iability[10,11,12,13] It is not clear whether these studies detected the presence of the virus or its effects on the tissues of the hosts, as the damage and tissue alterations caused during an on-going infection may appear more prominent than the virus itself at the working wavelengths. This approach can be used for rapid and mass screening of infectious diseases, as it allows for analysing large number of samples simultaneously in a matter of seconds

Methods

Results

Conclusion