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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Главные авторы: Murat Bağcıoğlu, Martina Fricker, Sophia Johler, Monika Ehling-Schulz
Формат: Artigo
Язык:Inglês
Опубликовано: Frontiers Media S.A. 2019-04-01
Серии:Frontiers in Microbiology
Предметы:
Bacillus cereus
FTIR spectroscopy
machine learning
artificial neural networks
diagnostics
Online-ссылка:https://www.frontiersin.org/article/10.3389/fmicb.2019.00902/full
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