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

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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Bibliographic Details
Main Authors: Murat Bağcıoğlu, Martina Fricker, Sophia Johler, Monika Ehling-Schulz
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-04-01
Series:Frontiers in Microbiology
Subjects:
Bacillus cereus
FTIR spectroscopy
machine learning
artificial neural networks
diagnostics
Online Access:https://www.frontiersin.org/article/10.3389/fmicb.2019.00902/full

Internet

https://www.frontiersin.org/article/10.3389/fmicb.2019.00902/full

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