Bayesian calibration, process modeling and uncertainty quantification in biotechnology
Fig 9
Calibration model of biomass-dependent backscatter measurement.
Backscatter observations from two independent calibration experiments (1400 rpm, gain = 3) on the same BioLector Pro cultivation device were pooled. A non-linearity of the backscatter/CDW relationship is apparent already from the data itself (A). The evenly spaced calibration data (B) are well-described with little lack-of-fit error (C). At low biomass concentrations the relative spread of the measurement responses starts at ca. 20% and reduces to approximately 2% at concentrations above .