Detection of A and B Influenza Viruses by Surface-Enhanced Raman Scattering Spectroscopy and Machine Learning

Detection of A and B Influenza Viruses by Surface-Enhanced Raman Scattering Spectroscopy and Machine Learning

We demonstrate the possibility of applying surface-enhanced Raman spectroscopy (SERS) combined with machine learning technology to detect and differentiate influenza type A and B viruses in a buffer environment. The SERS spectra of the influenza viruses do not possess specific peaks that allow for t...

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Bibliographic Details
Main Authors: Artem Tabarov, Vladimir Vitkin, Olga Andreeva, Arina Shemanaeva, Evgeniy Popov, Alexander Dobroslavin, Valeria Kurikova, Olga Kuznetsova, Konstantin Grigorenko, Ivan Tzibizov, Anton Kovalev, Vitaliy Savchenko, Alyona Zheltuhina, Andrey Gorshkov, Daria Danilenko
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Biosensors
Subjects:
surface-enhanced Raman spectroscopy
SERS
influenza A virus
influenza B virus
detection
machine learning
Online Access:https://www.mdpi.com/2079-6374/12/12/1065

Internet

https://www.mdpi.com/2079-6374/12/12/1065

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