Control of α-amylase production by Bacillus subtilis.
This study proposes two adaptive control algorithms for the fed-batch production of α-amylase. The first one uses online information from hardware measuring glucose. Online information of both biomass and glucose concentrations measured with different frequency is used in the second algorithm. Hardware measuring variables are inputs for software sensors of glucose concentration and (specific) glucose consumption rate. Either of the algorithms do not require any kinetic coefficients. This is a benefit, because the kinetic coefficients can vary during cultivation and between cultivations, leading to low process reproducibility and the non-stationary state of the bioprocess. The results of simulation investigations show good performance of the proposed control schemes.
Institute of System Engineering and Robotics, Bulgarian Academy of Sciences, Sofia, Bulgaria. v_lyubenova@icsr.bas.bg
V
V
Lyubenova
M
M
Ignatova
K
K
Salonen
K
K
Kiviharju
T
T
Eerikäinen
D000465:Algorithms; D001412:Bacillus subtilis / Q000201:enzymology*; D018533:Biomass; D018929:Cell Culture Techniques / Q000379:methods; D003198:Computer Simulation; D003470:Culture Media / Q000032:analysis; D005947:Glucose / Q000032:analysis; D007700:Kinetics; D008954:Models, Biological; D015203:Reproducibility of Results; D012984:Software; D000516:alpha-Amylases / Q000032:analysis / Q000096:biosynthesis*
D003470:Culture Media; D000516:alpha-Amylases; D005947:Glucose