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Curie Point Pyrolysis Mass Spectrometry and Its Application to Bacterial Systematics

  • Michael Goodfellow
  • Jongsik Chun
  • Ekrem Atalan
  • Jean-Jacques Sanglier
Part of the Federation of European Microbiological Societies Symposium Series book series (FEMS, volume 75)

Abstract

The need to classify, identify and type microorganisms is an ever present theme in microbiology, notably in clinical and industrial microbiology. Here, identification is critical for distinguishing between potential pathogens or spoilage organisms, and commensals or contaminants of no significance. Similarly, the choice of microorganisms for industrial screening programmes, especially those with a low throughput, is primarily a problem of distinguishing between known organisms and recognising new ones. Further, effective typing procedures are essential in epidemiological tracing and in eliminating sources of microbial contamination.

Keywords

Neural Network Artificial Neural Network Canonical Variate Curie Point Streptomyces Species 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media New York 1994

Authors and Affiliations

  • Michael Goodfellow
    • 1
  • Jongsik Chun
    • 1
  • Ekrem Atalan
    • 1
  • Jean-Jacques Sanglier
    • 2
  1. 1.Department of MicrobiologyThe Medical SchoolNewcastle upon TyneUK
  2. 2.Preclinical ResearchSandoz Pharma Ltd.BasleSwitzerland

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