Hyperspectral image processing for the identification and quantification of lentiviral particles in fluid samples
Emilio Gomez-Gonzalez1,2, Beatriz Fernandez-Muñoz3, Alejandro Barriga-Rivera4,5
1Department of Applied Physics III, School of Engineering, Universidad de Sevilla, Camino de los Descubrimientos s/n, 41092, Sevilla, Spain. egomez@us.es.
Scientific Reports
|August 11, 2021
Summary
Visible and near-infrared hyperspectral imaging offers a novel, reagent-free method for detecting viruses in fluid samples. This technology enables rapid, non-contact screening for viral infectious diseases at the point of care.
Area of Science:
- Spectroscopy
- Biophysics
- Medical Diagnostics
Background:
- Optical spectroscopic techniques are established for detecting microbial biofilms in the agro-food sector.
- Near-infrared (NIR) spectroscopy has shown potential for detecting viruses in biological tissues.
- Current methods for viral detection often require reagents and laboratory settings.
Purpose of the Study:
- To develop and validate a visible and near-infrared (VNIR) hyperspectral imaging platform for viral particle detection.
- To assess the platform's capability for non-contact, reagent-free quantification of viruses in fluid samples.
- To explore the potential of this technology for rapid mass screening of viral diseases.
Main Methods:
- Utilized VNIR hyperspectral imaging for non-contact analysis of fluid samples.
- Employed partial least square-discriminant analysis (PLS-DA) and artificial feed-forward neural networks for data analysis.
- Tested detection limits in phosphate-buffered saline and artificial saliva, with sample volumes as low as 4 nL.
Main Results:
- Successfully detected and quantified laboratory-engineered viral particles in liquid droplets and dry residue.
- Achieved a lowest detectable concentration of 800 TU·[Formula: see text]L-1.
- Demonstrated feasibility in complex matrices like artificial saliva.
Conclusions:
- VNIR hyperspectral imaging provides a sensitive and specific method for viral detection.
- The developed platform is reagent-free and operates non-contact, suitable for point-of-care applications.
- This technology holds promise for rapid screening of viral infectious diseases and monitoring pandemics like SARS-CoV-2.
