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...

Description complète

Enregistré dans:
Détails bibliographiques
Auteurs principaux: Murat Bağcıoğlu, Martina Fricker, Sophia Johler, Monika Ehling-Schulz
Format: Artigo
Langue:Inglês
Publié: Frontiers Media S.A. 2019-04-01
Collection:Frontiers in Microbiology
Sujets:
Bacillus cereus
FTIR spectroscopy
machine learning
artificial neural networks
diagnostics
Accès en ligne:https://www.frontiersin.org/article/10.3389/fmicb.2019.00902/full
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires