Detection and Identification of Bacillus cereus, Bacillus cytotoxicus, Bacillus thuringiensis, Bacillus mycoides and Bacillus weihenstephanensis via Machine Learning Based FTIR Spectroscopy

The Bacillus cereus group comprises genetical closely related species with variable toxigenic characteristics. However, detection and differentiation of the B. cereus group species in routine diagnostics can be difficult, expensive and laborious since current species designation is linked to specifi...

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Bibliografiska uppgifter
Huvudupphovsmän: Murat Bağcıoğlu, Martina Fricker, Sophia Johler, Monika Ehling-Schulz
Materialtyp: Artigo
Språk:Inglês
Publicerad: Frontiers Media S.A. 2019-04-01
Serie:Frontiers in Microbiology
Ämnen:
Bacillus cereus
FTIR spectroscopy
machine learning
artificial neural networks
diagnostics
Länkar:https://www.frontiersin.org/article/10.3389/fmicb.2019.00902/full
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