Laser-induced fluorescence (LIF) as a smart method for fast environmental virological analyses: validation on Picornaviruses.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
29 08 2019
Historique:
received: 20 02 2019
accepted: 12 08 2019
entrez: 31 8 2019
pubmed: 31 8 2019
medline: 27 10 2020
Statut: epublish

Résumé

Virological analysis is time-consuming and expensive. The aim of this work is to demonstrate the applicability of laser-induced fluorescence (LIF) to the classification of viruses, reducing the time for this analysis and its costs. Experimental tests were performed in which different viruses were irradiated with a UV laser emitting at 266 nm and the emitted spectra were recorded by a spectrometer. The classification techniques show the possibility of discriminating viruses. Although the application of the LIF technique to biological agents has been thoroughly studied by many researchers over the years, this work aims at validating for the first time its applicability to virological analyses. The development of a fast virological analysis may revolutionize this field, allowing fast responses to epidemiologic events, reducing their risks and improving the efficiency of monitoring environments. Moreover, a cost reduction may lead to an increase in the monitoring frequency, with an obvious enhancement of safety and prevention.

Identifiants

pubmed: 31467322
doi: 10.1038/s41598-019-49005-3
pii: 10.1038/s41598-019-49005-3
pmc: PMC6715700
doi:

Types de publication

Journal Article Validation Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

12598

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Auteurs

Valentina Gabbarini (V)

Department of Industrial Engineering, University of Rome "Tor Vergata", Via del Politecnico 1, Rome, 00133, Italy.

Riccardo Rossi (R)

Department of Industrial Engineering, University of Rome "Tor Vergata", Via del Politecnico 1, Rome, 00133, Italy. r.rossi@ing.uniroma2.it.

Jean-François Ciparisse (JF)

Department of Industrial Engineering, University of Rome "Tor Vergata", Via del Politecnico 1, Rome, 00133, Italy.

Andrea Malizia (A)

Department of Biomedicine and Prevention, University of Rome "Tor Vergata", Via di Montpellier 1, Rome, 00133, Italy.

Andrea Divizia (A)

Department of Biomedicine and Prevention, University of Rome "Tor Vergata", Via di Montpellier 1, Rome, 00133, Italy.

Patrizia De Filippis (P)

Department of Biomedicine and Prevention, University of Rome "Tor Vergata", Via di Montpellier 1, Rome, 00133, Italy.

Maurizio Anselmi (M)

Department of Biomedicine and Prevention, University of Rome "Tor Vergata", Via di Montpellier 1, Rome, 00133, Italy.

Mariachiara Carestia (M)

Department of Industrial Engineering, University of Rome "Tor Vergata", Via del Politecnico 1, Rome, 00133, Italy.

Leonardo Palombi (L)

Department of Biomedicine and Prevention, University of Rome "Tor Vergata", Via di Montpellier 1, Rome, 00133, Italy.

Maurizio Divizia (M)

Department of Biomedicine and Prevention, University of Rome "Tor Vergata", Via di Montpellier 1, Rome, 00133, Italy.

Pasqualino Gaudio (P)

Department of Industrial Engineering, University of Rome "Tor Vergata", Via del Politecnico 1, Rome, 00133, Italy.

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Classifications MeSH