Model Based Sequential Experimental Design for Bioprocess Optimisation — an Overview

  • Ralph Berkholz
  • Reinhard Guthke
Part of the Focus on Biotechnology book series (FOBI, volume 4)


Model based experimental design for bioprocess optimisation requires transparent, understandable, identifiable models considering the physiological states necessary to obtain high product yields. Knowledge and data based hybrid modelling techniques are suitable to build such models. Two concepts of model based experimental design called direct and indirect experimental design are established. The direct design focuses on experiments being optimal with respect to the process performance but ignoring the relevance of the parameter estimation accuracy. Contrarily the indirect design leads to precise parameter estimates, but may result in unproductive fermentation runs worthless with respect to model validation. Due to the disadvantages of these two design methods the concept of A-optimal experimental design was developed. This approach enables experimentalists to suggest experimental set-ups optimal in productivity and parameter estimation accuracy.


Fisher Information Matrix Experimental Design Method Optimal Experimental Design Plant Cell Suspension Culture Precise Parameter Estimate 
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

© Kluwer Academic Publishers 2001

Authors and Affiliations

  • Ralph Berkholz
    • 1
  • Reinhard Guthke
    • 2
  1. 1.BioControl Jena GmbHJenaGERMANY
  2. 2.Hans Knoll Institute for Natural Products ResearchJenaGERMANY

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