Regime Analysis—General Concept and Guidelines

The strategy presented in the following section enables bioprocess engineers to approach such complex situations. 

Describe significant phenomena (see Table 4.1) case 1, transports RTD, mixing, CTD, OTR, H TR, and so on, and/or case 2, metabolic rates significant and compositional changes in cell content, for example, proteins, DNA, RNA, enzymes, macromolecules such as PHB, as internally balanced units together with macroscopic process variables. 

Determine characteristic rate constants or characteristic times from experiments case 1 mean residence time t), mixing time cycle time (f ), OTR 

Compare rate constants or, for significant phenomena, characteristic times of changes over the period of interest, and determine hierarchy of individual response time or rate constant ( regime ). Table 4.2 lists possible cases and results of regime analysis in bioreactor operation. 

A conclusion from these considerations on mathematical modeling of biokinetics is that in both interaction cases (transport and metabolic changes). 

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