Translated abstract:
In this dissertation three systems for the identification of yeasts were developed based on Fourier-transform infrared spectroscopy combined with artificial neural network analysis. Additionally, several molecular identification and strain typing methods were used for classification of the reference strains used for the establishment of the system. Thus, reliable identification systems could be developed which provide a successful application of Fourier-transform infrared spectroscopy and artificial neural network analysis in food microbiology, clinical diagnostics and, for the first time, in feed microbiology. Furthermore, differentiation between probiotic and environmental S. cerevisiae strains could be realised due to a high sensitivity of the presented approach.