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Strong stability model for non-linear multistage enzyme catalysis system

A technology with strong stability and catalytic system, applied in the field of bioengineering, can solve problems that do not consider different effects

Active Publication Date: 2018-08-14
HUZHOU TEACHERS COLLEGE
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

In recent years, some people have established a gene regulatory network for the dha regulator in the glycerol metabolism process, given a quantitative analysis model for global regulation of gene expression, and achieved results in the identification of path parameters for the hybrid system of enzyme catalysis and gene regulation in batch fermentation. They did not consider the different effects of cells at different stages in the control process, so how to have different characteristics of reactants at different stages, and how to increase the concentration of batch fermentation products at different stages have become problems that need to be solved

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  • Strong stability model for non-linear multistage enzyme catalysis system
  • Strong stability model for non-linear multistage enzyme catalysis system
  • Strong stability model for non-linear multistage enzyme catalysis system

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Embodiment Construction

[0062] 1,3-PD produced by batch fermentation of glycerol is divided into three different stages That is, the development stage Or the first stage), the growth stage Or second stage) and stable stage Or the third stage). make Is the time parameter, satisfying:

[0063] Let I N , N=1, 2,..., N is the sequence number set of experiments in discrete culture, where N represents the total number of experiments. Represents the l ∈ I N The initial state of the first stage of this experiment. Represents the l ∈ I N The ending state of stage i-1 in this experiment is also the initial state of stage i.

[0064] Propose the following nonlinear multi-stage dynamic system:

[0065]

[0066] among them It is the system parameter variable of the i stage of the system. Is l∈I N State variables of the i-th stage of this experiment. among them Respectively Respectively represent t∈D i ,I∈I 3 Concentrations of bacteria, extracellular glycerol, extracellular 1,3-PD, acetic acid, intracellular...

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Abstract

The invention relates to a strong stability model for a non-linear multistage enzyme catalysis system. According to the model, an optimization method is adopted to reveal a problem that a reactant hasdifferent characteristics at different batch fermentation phases. The strong stability model is established in such a way that concentration of extracellular 1, 3-propylene glycol is used as a performance index, and approximate stability of a hybrid nonlinear dynamic system and a batch fermentation system, a relative error of concentration of intracellular and extracellular substances, biologicalrobustness of concentration of the intracellular substances are used as main constraints; research is conducted on a non-linear power system of which a analytical solution cannot be obtained and of which no equilibrium point is available. Via the strong stability model, a non-linear multistage power system is built and converted into a linear variation equation, a linear processing method for non-linear problems is established, the non-linear multistage power system is well solved, conditions for the strong stability model for a non-linear multistage batch enzyme fermentation catalysis powersystem are put forward, and output of the system can be maximized via calculation based on a control model.

Description

Technical field [0001] The invention belongs to the technical field of biological engineering, and specifically relates to a strong stability model of a nonlinear multi-stage enzyme catalytic system. Background technique [0002] There are three main ways of glycerol fermentation to produce 1,3-propanediol (abbreviated as 1,3-PD): batch fermentation, continuous fermentation, and batch fed-batch fermentation. Research results mainly focus on continuous and intermittent fermentation processes. For example, people use a modified excess kinetic model to describe the continuous and intermittent fermentation processes, and predict the polymorphisms that occur during the fermentation process; propose a glycerol organism including three intracellular substances The reductive pathway enzyme catalysis model of the disproportionation 1,3-PD process, this dynamic system not only describes the changes in the concentration of extracellular substances, but also considers the catalysis of two ma...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G05B13/04
CPCG05B13/042
Inventor 王金鹤庞丽萍王帅吕佳佳
Owner HUZHOU TEACHERS COLLEGE
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