Soft measurement method for pichia pastoris fermentation process based on ONLINE-RLSSVM

A technology of Pichia pastoris and fermentation process, which is applied in the field of soft measurement of microbial fermentation process, can solve the problem that the concentration of inulinase cannot be accurately measured, and can overcome the sensitivity of noise points and abnormal points, improve timeliness, and improve adaptability. Effect

Inactive Publication Date: 2019-04-02
JIANGSU UNIV
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Problems solved by technology

To solve the problem that the inulinase concentration cannot be

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  • Soft measurement method for pichia pastoris fermentation process based on ONLINE-RLSSVM
  • Soft measurement method for pichia pastoris fermentation process based on ONLINE-RLSSVM
  • Soft measurement method for pichia pastoris fermentation process based on ONLINE-RLSSVM

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Embodiment Construction

[0036] The present invention will be described in detail below in conjunction with the implementation examples and accompanying drawings of the prediction of key state variables in the fermentation process of Pichia pastoris.

[0037] Step 1: Determining the on-line and off-line measurement variables of the Pichia fermentation process

[0038] According to the kinetic model of the fed-batch fermentation process of Pichia pastoris shown in formula (1), combined with the actual fermentation process of Pichia pastoris, the online direct measurable variables of the fermentation process of Pichia pastoris are selected as fermentation time (h), dissolved oxygen Concentration (%), intake flow rate (L / h), stirring rate (L / h), pH value, temperature (°C), methanol flow acceleration rate (L / h), ammonia flow acceleration rate (L / h) and The volume of fermentation broth (L), offline measurement variables include methanol concentration (g / L), Pichia pastoris concentration (g / L) and inulinase...

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Abstract

The invention discloses a soft measurement method for a pichia pastoris fermentation process based on ONLINE-RLSSVM. The soft measurement method comprises the following steps of firstly, analyzing a pichia pastoris fermentation process technology mechanism, selecting appropriate auxiliary variables, and establishing a training sample database according to historical tank batch data; performing pretreatment on sample data, performing normalizing treatment, performing dimension reduction on the auxiliary variables by a principal component analysis method, and using several main component aggregative variables as a training sample database of ONLINE-RLSSVM; and then, using a firefly-fruit fly hybrid optimization algorithm for on-line optimizing a punishment coefficient c and a breadth factorsigma 2, using the training sample database for training the ONLINE-RLSSVM, establishing a soft measurement model, and finally, obtaining an inulase concentration predicted value. The firefly-fruit fly hybrid optimization algorithm is adopted, so that the overall optimization capacity and the prediction precision of the soft measurement model are improved, and the method can be effectively used for guiding the production of inulase.

Description

technical field [0001] The invention mainly relates to the field of soft measurement in microbial fermentation process, in particular to a soft measurement method for product inulinase concentration in Pichia pastoris fermentation process. Background technique [0002] At present, the enzymatic hydrolysis of inulin by the endo-inulinase produced by the fermentation of Pichia pastoris is one of the main ways to prepare fructooligosaccharides. Oligofructose has been widely used in the field of health food because of its indigestibility, low dental caries and improvement of lipid metabolism. In the process of producing inulinase by Pichia pastoris fermentation, the concentration of the product inulinase is one of the important biochemical parameters. However, due to the limitations of current detection methods, the concentration of inulinase cannot be directly measured online, and can only be roughly estimated by offline sampling and analysis of inulinase activity. This proce...

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Application Information

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IPC IPC(8): C12Q1/34G06N3/00C12R1/84
CPCC12Q1/34G01N2333/924G06N3/006
Inventor 黄丽丁帅王兆华张熙张婷
Owner JIANGSU UNIV
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