Parallel factor analysis combined with PLS regression applied to the on-line monitoring of Pichia pastoris cultures

Research output: Contribution to journalArticleResearchpeer-review

26 Citations (Scopus)

Abstract

Various key variables (biomass, substrate and product) of bioprocesses should be monitored in order to retrieve useful information on the system, with the biomass (the cell density) the principal target. Although several analytical methods have been adapted and used to monitor the evolution of cell density evolution in cultures, a general method for performing this determination has not yet been established, as each technique has its own advantages and drawbacks. In the present work, noninduced glycerol batch cultures (for which biomass and substrate are the key variables) were monitored using multiwavelength fluorescence spectroscopy. The data gathered were modelled via PARAFAC-PLS chemometric methodologies, resulting in important qualitative and quantitative information about the behaviours of different biogenic fluorophors in batch cultures of the yeast Pichia pastoris. This information was used to predict the target process variables in such cultures; this permitted the applicability of this combined technique to bioprocess monitoring to be assessed.
Original languageEnglish
Pages (from-to)1281-1288
JournalAnalytical and Bioanalytical Chemistry
Volume385
DOIs
Publication statusPublished - 1 Aug 2006

Keywords

  • Biomass monitoring
  • On-line monitoring
  • PARAFAC
  • PLS
  • Pichia pastoris

Fingerprint

Dive into the research topics of 'Parallel factor analysis combined with PLS regression applied to the on-line monitoring of Pichia pastoris cultures'. Together they form a unique fingerprint.

Cite this