Table 1 (continued)
Estimator/
application
type
Cultivation
type/
microorganism
Process
model
Objective
Measured state Reference
Unscented
ter/experimental
application
Fed-batch cultivation/
hybridoma cell
culture
Overflow
metabolism
model
Noise reduction from
predicted
values
Predicted specific uptake
and production rate
Henry
et al. [41]
Extended
ter/experimental
application
Fed-batch cultivation/
S. cerevisiae
Ideal stirred
tank reactor
model with
Monod
growth
kinetics
Parameter,
biomass, and
glucose
prediction
Glucose concentration with
FIA
Klockow
et al. [43]
Extended
ter/experimental
application
Fed-batch cultivation/E. coli
General
dynamic
model of bioreactors with
Monod
growth
kinetics
Estimation of
biomass, glucose, and
acetate
Dissolved
oxygen and
carbon dioxide
Veloso
et al. [44]
Unscented
Kalman filter/
simulation
Fed-batch cultivation/
S. cerevisiae
Mass balance
of substrate
and biomass
in the headspace with
Monod
growth
kinetics
Estimation of
biomass and
substrate
concentrations
Dissolved
oxygen and
carbon dioxide
Jianlin
et al. [46]
Unscented
Kalman filter/
simulation
Fed-batch/
hybridoma cell
Material balance equation
with Monod
growth
kinetic
Prediction of
acetate and
glucose
concentration
Biomass and
dissolved
oxygen
Dewasme
et al. [48]
Extended
Kalman filter/
simulation
Batch cultivation/
S. cerevisiae
Unstructured
model for
alcoholic fermentation
with
immobilized
cells using
Monod
growth
kinetics
Estimation of
product, substrate, and
biomass
concentrations
Glucose and
ethanol
Popova
et al. [49]
Extended
ter/experimental
application
Fed-batch cultivation/
S. cerevisiae
Mass balance
of substrate
and biomass
in the headspace with
Monod
Estimation of
substrate and
biomass
concentrations
Substrate and
biomass concentration with
NIR
spectrometer
Krämer
and King
[54]
(continued)
The Kalman Filter for the Supervision of Cultivation Processes
105