RT journal article
T1 Hyperspectral image processing for the identification and quantification of lentiviral particles in fluid samples
A1 Gómez‑González, Emilio
A1 Fernández‑Muñoz, Beatriz
A1 Barriga‑Rivera, Alejandro
A1 Navas‑García, José Manuel
A1 Fernández‑Lizaranzu, Isabel
A1 Munoz‑González, Francisco Javier
A1 Parrilla‑Giráldez, Rubén
A1 Requena‑Lancharro, Desiree
A1 Guerrero‑Claro, Manuel
A1 Gil‑Gamboa, Pedro
A1 Rosell‑Valle, Crsitina
A1 Gómez‑González, Carmen
A1 Mayorga‑Buiza, Maria José
A1 Martín‑López, María
A1 Muñoz, Olga
A1 Gómez Martín, Juan Carlos
A1 Relimpio López, María Isabel
A1 Aceituno‑Castro, Jesús
A1 Perales‑Esteve, Manuel A.
A1 Puppo‑Moreno, Antonio
A1 García Cózar, Francisco José
A1 Olvera Collantes, Lucía
A1 de los Santos‑Trigo, Silvia
A1 Gómez, Emilia
A1 Sánchez Pernaute, Rosario
A1 Padillo‑Ruiz, Javier
A1 Márquez‑Rivas, Javier
A2 BiomedicinaBiotecnología y Salud Pública
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.mu 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 RESEARCH
SN 2045-2322
YR 2021
FD 2021-08
LK http://hdl.handle.net/10498/25717
UL http://hdl.handle.net/10498/25717
LA eng
NO This 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 Scientific Equipment, FEDER Program, Spanish Ministry of Science and Innovation. This work has been supported by the European Commission through the JRC HUMAINT project. ABR was supported by grant number RTI2018-094465-J funded by the Spanish National Agency of Research. The authors would like to gratefully acknowledge the assistance of the members of the EOD-CBRN Group of the Spanish National Police, whose identities cannot be disclosed, and who are represented here by JMNG. Authors thank continuous support from their institutions.
DS Repositorio Institucional de la Universidad de Cádiz
RD 07-nov-2026