Process control is a central task in bioprocess development and production. Apart from common control tasks including pH, temperature or dissolved oxygen, more advanced control tasks must be mastered. Real-time availability of analytical data is often the basis to achieve a control based on process understanding. This application note demonstrates how sophisticated control tasks can be easily implemented in the Process Information Management Software Lucullus PIMS. Exemplary, a temperature shift in an Escherichia coli (E. coli) process is automatically performed based on different online signals available in Lucullus PIMS: i) optical density and ii) glucose and lactose concentration determined by automated sampling and sample preparation via Numera followed by online HPLC analysis. Both approaches are compared with respect to the current state of the culture as well as their impact on process robustness.
