RT Journal Article
T1 Hyperspectral image processing for the identification and quantification of lentiviral particles in fluid samples.
A1 Gomez-Gonzalez, Emilio
A1 Fernandez-Muñoz, Beatriz
A1 Barriga-Rivera, Alejandro
A1 Navas-Garcia, Jose Manuel
A1 Fernandez-Lizaranzu, Isabel
A1 Munoz-Gonzalez, Francisco Javier
A1 Parrilla-Giraldez, Ruben
A1 Requena-Lancharro, Desiree
A1 Guerrero-Claro, Manuel
A1 Gil-Gamboa, Pedro
A1 Rosell-Valle, Cristina
A1 Gomez-Gonzalez, Carmen
A1 Mayorga-Buiza, Maria Jose
A1 Martin-Lopez, Maria
A1 Muñoz, Olga
A1 Martin, Juan Carlos Gomez
A1 Lopez, Maria Isabel Relimpio
A1 Aceituno-Castro, Jesus
A1 Perales-Esteve, Manuel A
A1 Puppo-Moreno, Antonio
A1 Cozar, Francisco Jose Garcia
A1 Olvera-Collantes, Lucia
A1 de Los Santos-Trigo, Silvia
A1 Gomez, Emilia
A1 Pernaute, Rosario Sanchez
A1 Padillo-Ruiz, Javier
A1 Marquez-Rivas, Javier
K1 Red Andaluza de Diseño y Traslación de Terapias Avanzadas
K1 Molecular diagnostic techniques
K1 Point-of-care systems
K1 Saliva
K1 Sensitivity and specificity
K1 Spectroscopy, near-infrared
AB 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·[Formula: see text]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.
PB Nature Publishing Group
YR 2021
FD 2021-07-30
LK http://hdl.handle.net/10668/18356
UL http://hdl.handle.net/10668/18356
LA en
NO Gomez-Gonzalez E, Fernandez-Muñoz B, Barriga-Rivera A, Navas-Garcia JM, Fernandez-Lizaranzu I, Munoz-Gonzalez FJ, et al. Hyperspectral image processing for the identification and quantification of lentiviral particles in fluid samples. Sci Rep. 2021 Aug 10;11(1):16201
NO Tis research was funded by grants number COV20-00080 and COV20-00173 of the 2020 Emergency Call for Research Projects about the SARS-CoV-2 virus and the COVID-19 disease of the Institute of Health ‘Carlos III’, Spanish Ministry of Science and Innovation, and by grant number EQC2019-006240-P of the 2019 Call for Acquisition of Scientifc Equipment, FEDER Program, Spanish Ministry of Science and Innovation. Tis work has been supported by the European Commission through the JRC HUMAINT project. ABR was supportedby grant number RTI2018-094465-J funded by the Spanish National Agency of Research.
DS RISalud
RD Apr 6, 2025