Machine learning-based typing of Salmonella enterica O-serogroups by the Fourier-Transform Infrared (FTIR) Spectroscopy-based IR Biotyper system

• Published in: Journal of microbiological methods Vol. 201; p. 106564
• Main Authors: Cordovana, Miriam, Mauder, Norman, Join-Lambert, Olivier, Gravey, François, LeHello, Simon, Auzou, Michel, Pitti, Monica, Zoppi, Simona, Buhl, Michael, Steinmann, Joerg, Frickmann, Hagen, Dekker, Denise, Funashima, Yumiko, Nagasawa, Zenzo, Soki, József, Orosz, László, Veloo, Alida C., Justesen, Ulrik S., Holt, Hanne M., Liberatore, Andrea, Ambretti, Simone, Pongolini, Stefano, Soliani, Laura, Wille, Andreas, Rojak, Sandra, Hagen, Ralf Matthias, May, Jürgen, Pranada, A.B., Kostrzewa, Markus
• Format: Journal Article
• Language: English
• Published: 01.10.2022

BACKGROUNDSalmonella enterica is among the major burdens for public health at global level. Typing of salmonellae below the species level is fundamental for different purposes, but traditional methods are expensive, technically demanding, and time-consuming, and therefore limited to reference center...