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Method for detecting fermentation process parameters in real time based on near infrared

A technology for real-time detection and fermentation process, applied in measuring devices, material analysis through optical means, instruments, etc., can solve the problems of simultaneous detection of multiple parameters and single detection parameters, etc., achieve good prediction accuracy and reliability, and improve The effect of accuracy, good stability and feasibility

Pending Publication Date: 2021-01-19
EAST CHINA UNIV OF SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the current sensor detection parameters are relatively single (pH, DO, etc.), and it is impossible to realize simultaneous detection of multiple parameters. It is necessary to develop a platform that can realize online multi-parameter real-time detection and provide data support for fermentation regulation.

Method used

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  • Method for detecting fermentation process parameters in real time based on near infrared
  • Method for detecting fermentation process parameters in real time based on near infrared
  • Method for detecting fermentation process parameters in real time based on near infrared

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0067] Collect the fermentation broth of the strains online, use the non-contact near-infrared spectroscopy platform to obtain the spectrum of the fermentation broth, and analyze the content of each component in the fermentation broth.

[0068] In this embodiment, the fermentation process is characterized by complexity and uncertainty, and fermentation regulation requires real-time control of the fermentation process. Real-time parameter detection enables more precise regulation of fermentation. However, the current sensor detection parameters are relatively single (pH, DO, etc.), and it is impossible to realize simultaneous detection of multiple parameters. In this paper, based on the near-infrared spectroscopy technology to detect the parameters of the fermentation process in situ and in real time, the near-infrared spectroscopy detection models of the fermentation process parameters of three different microbial systems of yeast, mold (Aspergillus niger) and bacteria (Lactob...

Embodiment 2

[0070] This specific embodiment provides the non-contact near-infrared spectrum platform in embodiment 1, including:

[0071] Non-contact near-infrared spectrum analyzer 2, used to scan the fermentation broth to obtain near-infrared spectrum;

[0072] Computer 1, computer 1 and non-contact near-infrared spectrum analyzer 2 communication connection, used for storing and displaying the signal result of near-infrared spectrum;

[0073] Bioreactor 3, by placing the fermentation liquid in the bioreactor 3, the non-contact near-infrared spectrum analyzer 2 obtains the spectral data of the fermentation liquid through near-infrared irradiation and detects the fermentation parameters of the fermentation liquid in real time;

[0074] Fermentation control computer 4, the fermentation control computer 4 communicates with the bioreactor 3 for receiving and controlling the fermentation parameters of the bioreactor 3.

[0075] Specifically, the non-contact near-infrared spectrum analyzer 2 ...

Embodiment 3

[0084] This specific embodiment discloses the method for near-infrared spectrum modeling in embodiment 2:

[0085] The near-infrared spectroscopy calibration model is established as follows:

[0086] S1. Off-line detection of the components of the known concentration of the fermentation broth to obtain offline spectral data of the components of the known concentration of the fermentation broth;

[0087] S2. Preprocessing the offline spectral data to eliminate baseline and noise;

[0088] S3. Dividing the preprocessed offline spectral data into training samples and verification samples;

[0089] S4. Using the partial least squares regression method to train the training samples and their corresponding known concentrations to obtain a preliminary near-infrared spectrum calibration model;

[0090] S5. Inputting the verification sample into the preliminary near-infrared spectroscopy calibration model to obtain the content prediction value of the corresponding component;

[0091...

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Abstract

The invention discloses a method for detecting fermentation process parameters in real time based on near infrared, which comprises the following steps: collecting fermentation liquor of strains on line, obtaining a fermentation liquor spectrum by using a non-contact near infrared spectrum platform, and analyzing the content of each component in the fermentation liquor. According to the invention,fermentation process parameters are detected in real time in situ based on a near infrared spectrum technology, and near infrared spectrum detection models of fermentation process parameters of threedifferent microbial systems of yeast, mould (aspergillus niger) and bacteria (lactobacillus casei) are respectively established. Verification finds that the near infrared spectrum model can realize real-time and rapid online detection of fermentation process parameters, and has good prediction precision and reliability. The near infrared spectrum has good stability and feasibility in different types of substances and different fermentation systems so as to realize online real-time control in the subsequent fermentation optimization process.

Description

technical field [0001] The invention belongs to the technical fields of fermentation engineering and metabolic engineering, and in particular relates to a method for real-time detection of fermentation process parameters based on near-infrared. Background technique [0002] In industrial microbial fermentation, fermentation regulation technology is an important part. By regulating changes in extracellular physical and chemical parameters and other conditions, we can gain an in-depth understanding of the metabolic state of microbial cells, which is the basis for improving subsequent fermentation processes and increasing microbial yield and yield. . Changes in the physiological state of microorganisms are the basis for multi-parameter correlation analysis in the fermentation process. Changes in macroscopic metabolic parameters can reflect changes in intracellular genomics, transcriptomics, proteomics, and metabolomics. Therefore, the detection of fermentation process parameter...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/3577G01N21/359
CPCG01N21/3577G01N21/359
Inventor 储炬田锡炜陈阳陈玲利郭美锦
Owner EAST CHINA UNIV OF SCI & TECH