Abstract
ABSTRACTIn this paper is development an model for small scale E. Coli fermentation and identifying the model parameters for an effective and reliable of the reactor dynamic with laboratory data from DFG project (5). Model parameters were identified by non-linear regression technique assisted by computer program. Parametric sensitivity analysis indicated specific grown rate of biomass to the most sensitive model parameter. Statistical validity of the model indicated confidence on the prediction of the model.
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