Classification of species in Genus Penicillium by Curie-Point Pyrolysis-Mass Spectrometry followed by Multivariate Analysis and Artificial Analysis and Artificial Neural Networks
In the study reported here Curie-Point pyrolysis mass spectrometry (MS) of microbiological fungi in genus Penicillium was carried out using 530 C Curie Point foils. Multivariate analysis on the basis of the fifty most characteristic ions in the mass spectra resulted in a successful classification of isolates of three fungi originating from fruits and isolates of seven fungi originating from the cheese industry (ie the various isolates of the same fungus grouped together in the dendrograms, while the different fungi were distinguished). The classification was shown to be reproducible in time. Also by the use of artificial neural networks a very satisfactory classification of fungi from the cheese industry was achieved. Thus, it is concluded that Curie-Point pyrolysis MS is useful in chemotaxonomical studies of the closely related fungi in genus Penicillium.
Bibliographic Reference: Article: Journal of Mass Spectrometry (1996)
Availability: Available from T Nilsson, Environment Institute, Joint Research Centre, 20120 Ispra (IT)
Record Number: 199610315 / Last updated on: 1996-03-29
Original language: en
Available languages: en