Abstract:
1 ,3-propanediol is currently a very useful monomer, and its manufacturing process hasbeen migrated from chemical process to biological process at the standpoint of lowerthe operating cost and environmental friendly. Regulation, which is the controlmechanism that is caused from inhibition and activation of metabolites to reaction rate,is what affects the productivity of 1,3-propanediol. Mathematical approach would leadto the more optimal biological process. Mathematical description based on the principleof Metabolic Control Analysis (MCA) was formulated to optimize the regulatorynetwork of glycerol fermentation by Klebsiella Pneumoniae from GBF (Gesellschaftfur Biotechnologische Forschung).The optimum dilution rate at 2 initial glycerol concentration were simulated from themodel equal to; 0.467 h-' at Cs,0 = 435 mmol/l and 0.471 h-1 at Cs,0 = 685 mmol/l. AtCs,0 = 152 mmol/l, the simulated result deviated from the actual data that QpD simulatedwere 20 percent higher than the actual. This was caused from the nature of the pathwaythat the conversion of the pathway would shift to maximize 1,3-propanediol only athigh residual glycerol concentration. Mathematical description for regulatory networkoptimization was formulated as the mixed-integer non-linear programming, and weresolved by MATLAB. The results obtained at different Cs,0 were different. At high Cs,0,less genetic modification were necessary to obtain the optimum regulatory network.Percent increasing of 1,3-propanediol production rate were 39.7lpercent, 6.00 percentand 18.3 1 percent at 152 mmolll, 435 mmolll and 685 mmolll of Cs,o respectively. Theapproach showed the systematic way to address the optimum yield with sufficient condition.