Document Detail


Differentiation of probiotic and environmental Saccharomyces cerevisiae strains in animal feed.
MedLine Citation:
PMID:  20337759     Owner:  NLM     Status:  In-Process    
Abstract/OtherAbstract:
AIMS: To establish an identification system for probiotic Saccharomyces cerevisiae strains based on artificial neural network (ANN)-assisted Fourier-transform infrared (FTIR) spectroscopy to improve quality control of animal feed.
METHODS AND RESULTS: The ANN-based system for differentiating environmental from probiotic S. cerevisiae strains comprises five authorized feed additive strains plus environmental strains isolated from different habitats. A total of 108 isolates were used as reference strains to create the ANN. DHPLC analysis and δ-PCR were used as reference methods to type probiotic yeast isolates. The performance of the FTIR-ANN was tested in an internal validation using unknown spectra of each reference strain. This validation step yielded a classification rate of 99·1 %. For an external validation, a test data set comprising 965 spectra of 63 probiotic and environmental S. cerevisiae isolates unknown to the ANN was used, resulting in a classification rate of 98·2 %.
CONCLUSIONS: Our results demonstrate that probiotic S. cerevisiae strains in feed can be differentiated successfully from environmental isolates using both genotypic approaches and ANN-based FTIR spectroscopy.
SIGNIFICANCE AND IMPACT OF THE STUDY: FTIR-based artificial neural network analysis provides a rapid and inexpensive technique for yeast identification both at the species and at the strain level in routine diagnostic laboratories, using a single sample preparation.
Authors:
N R Büchl; M Hutzler; H Mietke-Hofmann; M Wenning; S Scherer
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Journal of applied microbiology     Volume:  109     ISSN:  1365-2672     ISO Abbreviation:  J. Appl. Microbiol.     Publication Date:  2010 Sep 
Date Detail:
Created Date:  2010-11-05     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  9706280     Medline TA:  J Appl Microbiol     Country:  England    
Other Details:
Languages:  eng     Pagination:  783-91     Citation Subset:  IM    
Copyright Information:
© 2010 The Authors. Journal compilation © 2010 The Society for Applied Microbiology.
Affiliation:
Abteilung Mikrobiologie, Zentralinstitut für Ernährungs- und Lebensmittelforschung (ZIEL), Technische Universität München, Freising, Germany.
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