
Fermentation process supervision and strategies for fail‐safe operation: A practical approach
Author(s) -
Gnoth Stefan,
Simutis Rimvydas,
Lübbert Andreas
Publication year - 2011
Publication title -
engineering in life sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.547
H-Index - 57
eISSN - 1618-2863
pISSN - 1618-0240
DOI - 10.1002/elsc.201000114
Subject(s) - process (computing) , production (economics) , production line , computer science , process control , reliability engineering , control (management) , control engineering , process engineering , biochemical engineering , engineering , risk analysis (engineering) , industrial engineering , artificial intelligence , business , mechanical engineering , economics , macroeconomics , operating system
In an industrial production environment, cultivation processes for the production of recombinant proteins run along predefined trajectories. Feedback control is the best way to keep the cultures on track. However, feedback controllers require accurate on‐line values of the controlled variables. To assess whether the measurement signals are correct, process supervision techniques are required. In the case where a process failure has occurred and incorrectly measured variables have been identified, automated fail‐safe techniques must be started. Here, we use the production of a pharmaceutically relevant recombinant protein to compare different approaches to process supervision and fail‐safe routines.