| 1,3-propanediol has a wide range of applications,the fermentation process of glycerol to 1,3-propanediol is also getting more and more attention.Considering its unique characteristics of the fermentation process,the corresponding optimization models and optimization methods should can be constructed and used.These can provide a guidance for the actual production of 1,3-propanediol and the optimization control of biological engineering.This paper researches the optimization of continuous fermentation process of glycerol to 1,3-propanediol.For this problem,the single-objective optimization models and multi-objective optimization models are established.And optimization method can solve these optimization problems.The main contents and main results of this paper are as follows:1.According to the nonlinear dynamic systems of enzyme-catalytic kinetics on the bioprocess and Dha regulon of glycerol metabolism,a steady-state optimization model is first proposed respectively.This problem maximizes the production rate of 1,3-propanediol.Then the interior point method is used for solving the proposed optimization problems.Finally,the optimal operation conditions are obtained.The maximum rates of 1,3-propanediol production are also attained.2.According to the nonlinear dynamic systems of enzyme-catalytic kinetics on the bioprocess and Dha regulon of glycerol metabolism,four objectives are first proposed respectively to maximize the production rate of 1,3-propanediol,the conversion rate of glycerol bioconversion to 1,3-propanediol,the conversion rate of glycerol and minimize the concentration of 3-hydroxypropionaldehyde.Then twelve new multi-objective nonlinear optimization models are established.The weighted-summethod and the Normal Boundary Intersection(NBI)method are used to solve the proposed multi-objective optimization problems.Next a filter strategy is adopted to eliminate the non-global Pareto points generated by the NBI method.Finally,some discussions on the obtained Pareto optimal solution sets and the Pareto fronts for the twelve multi-objective optimization problems are presented.The kind of analysis can provide a guide for achieving the optimal operation of continuous bio-dissimilation process of glycerol to 1,3-propanediol. |