Intact cell mass spectrometry as a progress tracking tool for batch and fed-batch fermentation processes

Anal Biochem. 2015 Feb 1:470:25-33. doi: 10.1016/j.ab.2014.10.008. Epub 2014 Oct 22.

Abstract

Penicillin production during a fermentation process using industrial strains of Penicillium chrysogenum is a research topic permanently discussed since the accidental discovery of the antibiotic. Intact cell mass spectrometry (ICMS) can be a fast and novel monitoring tool for the fermentation progress during penicillin V production in a nearly real-time fashion. This method is already used for the characterization of microorganisms and the differentiation of fungal strains; therefore, the application of ICMS to samples directly harvested from a fermenter is a promising possibility to get fast information about the progress of fungal growth. After the optimization of the ICMS method to penicillin V fermentation broth samples, the obtained ICMS data were evaluated by hierarchical cluster analysis or an in-house software solution written especially for ICMS data comparison. Growth stages of a batch and fed-batch fermentation of Penicillium chrysogenum are differentiated by one of those statistical approaches. The application of two matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) instruments in the linear positive ion mode from different vendors demonstrated the universal applicability of the developed ICMS method. The base for a fast and easy-to-use method for monitoring the fermentation progress of P. chrysogenum is created with this ICMS method developed especially for fermentation broth samples.

Keywords: Batch; Fed-batch; Fermentation; Intact cell mass spectrometry; Penicillin V; Penicillium chrysogenum.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Batch Cell Culture Techniques / instrumentation
  • Batch Cell Culture Techniques / methods*
  • Fermentation*
  • Mass Spectrometry*
  • Penicillium chrysogenum / cytology
  • Penicillium chrysogenum / growth & development
  • Time Factors