WO2024061127A1

WO2024061127A1 - Microbial fermentation control method, apparatus and system, device, and medium

Info

Publication number: WO2024061127A1
Application number: PCT/CN2023/119119
Authority: WO
Inventors: 赵长春; 周瑶瑶; 汪东升; 李腾; 张浩千
Original assignee: 北京蓝晶微生物科技有限公司
Priority date: 2022-09-22
Filing date: 2023-09-15
Publication date: 2024-03-28
Also published as: CN115948622A

Abstract

The present invention relates to the field of microbial fermentation control, and particularly provides a microbial fermentation control method, apparatus and system, a device, and a medium. The microbial fermentation control method comprises: collecting tail gas monitoring data in a microbial fermentation process; inputting the tail gas monitoring data into a quantitative relation model for data analysis, and outputting a substrate consumption rate by the quantitative relation model; determining, according to the substrate consumption rate, a feeding speed instruction, the feeding speed instruction being used for indicating feeding in the fermentation process according to a feeding speed.

Description

Microbial fermentation control methods, devices, systems, equipment and media

CROSS-REFERENCE TO RELATED APPLICATIONS

This application claims priority to the Chinese patent application with application number 202211160593.9 and the invention title "Microbial fermentation control method, device, system, equipment and medium" submitted on September 22, 2022, which is fully incorporated by reference into this document. Apply.

Technical field

The present application relates to the field of microbial fermentation, and in particular to a microbial fermentation control method, device, system, equipment and medium.

Background technique

Polyhydroxyalkanoates (PHA) are mainly produced by fermentation using sugars or lipids as carbon sources. In order to ensure a high PHA yield, the entire fermentation process usually needs to be regulated. Commonly used fermentation process control techniques mostly use parameters such as pH, dissolved oxygen, temperature, and pressure as the basis or means of control strategies. However, most of these parameters can only reflect the physicochemical properties of the reaction system. When the fermentation process is controlled by these parameters, the instability of the control process will reduce the fermentation production capacity, ultimately affecting the fermentation yield and fermentation quality.

Contents of the invention

This application provides a microbial fermentation control method, device, system, equipment and medium to solve the technical defect of low fermentation production capacity existing in existing microbial fermentation technology. This application can adjust the feeding rate based on tail gas monitoring data, and then quantitatively control it. fermentation process and improve the stability of the fermentation process.

In the first aspect, this application provides a microbial fermentation control method, including:

Collect tail gas monitoring data of microbial fermentation process;

Input the exhaust gas monitoring data to a quantitative relationship model for data analysis, and output the substrate consumption rate from the quantitative relationship model;

Feeding speed instructions determined based on the substrate consumption rate;

The feeding speed instruction is used to instruct feeding to the fermentation process according to the feeding speed.

According to the microbial fermentation control method provided by this application, the tail gas monitoring data includes oxygen consumption rate, carbon dioxide generation rate, PHA synthesis oxygen consumption rate, PHA synthesis CO ₂ release rate, cellular respiration oxygen consumption rate, and cellular respiration CO ₂ release rate.

According to the microbial fermentation control method provided by this application, the quantitative relationship model is used to calculate the substrate consumption rate based on the quantitative relationship established between the oxygen consumption rate, the carbon dioxide generation rate and the substrate conversion rate;

The quantitative relationship model specifically performs the following steps:

Determine the carbon dioxide production component according to the carbon dioxide production rate and the first coefficient;

Determine a consumption difference based on the oxygen consumption rate and the carbon dioxide production component;

Determine a consumption component according to the consumption difference and the second coefficient;

Determine the substrate consumption rate according to the consumption component and the substrate conversion rate;

The first coefficient is calculated from the cellular respiration oxygen consumption rate and the cellular respiration CO ₂ release rate; the second coefficient is calculated from the first coefficient, PHA synthesis oxygen consumption rate and PHA synthesis oxygen consumption, PHA synthesis CO ₂ The release rate was calculated.

According to the microbial fermentation control method provided by this application, it also includes:

Input the oxygen consumption rate to the fermentation stage confirmation model, confirm the current target fermentation stage by the fermentation stage confirmation model, and confirm the start and end of the feeding program based on the current target fermentation stage;

And based on the current target fermentation stage, confirm the feeding control interval corresponding to the target fermentation stage; regulate the feeding speed based on the value of the feeding control interval combined with the substrate consumption rate.

According to the microbial fermentation control method provided by this application, the target fermentation stage includes the initial stage of fermentation, the growth stage of fermentation, the stable stage of fermentation, and the decline stage of fermentation. The corresponding feed control intervals are: preset feed speed, first feed rate, etc. Material control interval, second feeding control interval, and third feeding control interval;

The values of the preset feeding speed, the first feeding control interval, the second feeding control interval, and the third feeding control interval are the preset feeding speeds.

According to the microbial fermentation control method provided by this application, the microorganism is a microorganism capable of accumulating polyhydroxyalkanoate in cells, including microorganisms of the following genera: Aeromonas, Alcaligenes, Azotobacter, Bacillus Bacillus, Clostridium, Halobacterium, Nocardia, Rhodospirillum, Pseudomonas, Ralstonia, Kinectobacteria.

In a second aspect, a microbial fermentation control device is also provided, including:

Collection unit: used to collect tail gas monitoring data of the fermentation process of microorganisms;

Analysis unit: used for inputting the exhaust gas monitoring data into the quantitative relationship model for data analysis; outputting the substrate consumption rate from the quantitative relationship model;

A determination unit: used for determining a feeding speed instruction according to the substrate consumption rate;

According to the microbial fermentation control device of the present application, the analysis unit further includes: for inputting the oxygen consumption rate to a fermentation stage confirmation model, and confirming the current target fermentation stage by the fermentation stage confirmation model, based on the current target The fermentation stage confirms the start and end of the feeding program; and is used to confirm the feeding control interval corresponding to the target fermentation stage based on the current target fermentation stage; based on the value of the feeding control interval combined with the substrate consumption rate Regulate the feeding speed.

In a third aspect, a microbial fermentation control system is also provided, including the microbial fermentation control device for controlling the fermentation process of microorganisms based on the tail gas monitoring data;

Also includes:

Fermentation tank, used to provide a fermentation environment for microorganisms;

An exhaust gas sampling pipeline for collecting exhaust gas from the fermentation tank;

Flow distributor for flow regulation;

Exhaust gas spectrometry analysis device, used to analyze the component information of exhaust gas;

Exhaust gas status monitoring unit, used to obtain exhaust gas monitoring data;

The microorganism is a microorganism capable of accumulating polyhydroxyalkanoate within the cell.

In a fourth aspect, an electronic device is also provided, including a memory, a processor, and a computer program stored on the memory and executable on the processor. When the processor executes the program, the Microbial fermentation control methods.

In a fifth aspect, a non-transitory computer-readable storage medium is also provided, on which a computer program is stored. When the computer program is executed by a processor, the microbial fermentation control method is implemented.

This application provides a microbial fermentation control method, device, system, equipment and medium. During the fermentation process of polyhydroxyalkanoate, input tail gas monitoring data is obtained in real time, and the tail gas monitoring data is input into a quantitative relationship model in real time to determine the substrate. Consumption rate, real-time and accurate analysis to obtain the current required feeding speed; in addition, the feeding speed instruction can be further adjusted according to the substrate consumption rate combined with the feeding control interval corresponding to the real-time fermentation stage of the polyhydroxyalkanoate, Feeding control can be realized at all stages of the process, including the new process of polyhydroxyalkanoate fermentation. This application uses real-time collected tail gas data and an accurate and adjustable quantitative control model for feeding, realizing the feeding of polyhydroxyalkanoates. Real-time monitoring and precise control of the entire fermentation process of acid esters effectively improves the production intensity and fermentation stability of PHA.

Description of drawings

In order to explain the technical solutions in this application or the prior art more clearly, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings in the following description are of the present invention. For some embodiments of the application, those of ordinary skill in the art can also obtain other drawings based on these drawings without exerting creative efforts.

Figure 1 is a schematic flow chart of the microbial fermentation control method provided by the present application;

Figure 2 is a schematic flow chart of the fermentation stage confirmation model provided by this application;

Figure 3 is a schematic flow chart for calculating substrate consumption rate based on quantitative relationships provided by this application;

FIG4 is a schematic diagram of the structure of a microbial fermentation control system provided by the present application;

FIG5 is a diagram showing the effect of using the microbial fermentation control method provided by the present application;

Figure 6 is a schematic structural diagram of the microbial fermentation control device provided by the present application;

Figure 7 is a schematic structural diagram of an electronic device provided by this application.

Detailed ways

In order to make the purpose, technical solutions and advantages of this application clearer, the technical solutions in this application will be clearly and completely described below in conjunction with the drawings in this application. Obviously, the described embodiments are part of the embodiments of this application. , not all examples. Based on the embodiments in this application, all other embodiments obtained by those of ordinary skill in the art without making creative efforts, All fall within the scope of protection of this application.

The microorganisms referred to in this application include microorganisms capable of accumulating polyhydroxyalkanoates in cells, specifically including microorganisms of the following genera: Aeromonas, Alcaligenes, Azotobacter, Bacillus, Clostridium genus, Halobacterium genus, Nocardia genus, Rhodospirillum genus, Pseudomonas genus, Ralstonia genus, Kinectobacter genus, in order to describe the specific embodiments in the present application more accurately, This application takes microorganisms that produce polyhydroxyalkanoates (PHA) as an example. All fermentation control methods in the following examples are based on microorganisms that produce polyhydroxyalkanoates (PHA). However, this should not be the case. It is interpreted that this application can only control the fermentation of polyhydroxyalkanoate (PHA), and will not be described in detail here.

Polyhydroxyalkanoate (PHA) is a biopolyester compound synthesized by microorganisms. It exists as granular inclusions in microbial cells and has good biocompatibility, degradability and plasticity. As an excellent biodegradable material, PHA has shown great potential in the textile industry, agriculture, food, medical and health and other fields. Currently, fermentation processes using lipids as carbon sources have problems such as difficult substrate monitoring, excessive foaming, and process instability. For example, in the PHA fermentation process using oils as the substrate, too much substrate oil will cause foaming during the fermentation process. Too much will affect the stability of the fermentation process. Too little substrate oil will lead to insufficient production intensity and reduce the fermentation production capacity. Therefore, in order to solve the above technical problems and effectively improve the production intensity and fermentation stability of PHA, this application provides A fermentation control method for preparing polyhydroxyalkanoate, which implements real-time monitoring and precise control of the entire fermentation process in an efficient, accurate and timely manner. Figure 1 is a schematic flow chart of the microbial fermentation control method provided by this application. include:

Collect tail gas monitoring data of microbial fermentation process;

Input the exhaust gas monitoring data to a quantitative relationship model for data analysis; output the substrate consumption rate from the quantitative relationship model;

Determine the feeding speed instruction according to the substrate consumption rate;

In step 101, the tail gas monitoring data of the fermentation process for preparing polyhydroxyalkanoate is collected. The PHA production strain is used as the starting strain, and high activity is obtained through slant screening, strain activation, primary seed culture, secondary seed culture processes, etc. The highly active seed liquid is transferred to the fermentation tank containing PHA fermentation medium, the fermentation culture conditions are controlled, and the multi-dimensional parameters during the fermentation process are monitored in real time to obtain information on monitoring the polyhydroxyalkanoate. Real-time tail gas monitoring data during the fermentation process. The tail gas monitoring data includes, but is not limited to: oxygen consumption rate, carbon dioxide production rate, PHA synthesis oxygen consumption rate, PHA synthesis CO ₂ release rate, cellular respiration oxygen consumption rate, and cellular respiration CO ₂ release rate.

Alternatively, the PHA-producing strain is a microorganism capable of accumulating PHA in cells, including but not limited to Aeromonas, Alcaligenes, Azotobacter, Bacillus, Clostridium, Halobacterium, Nocardia, Rhodospirillum, Pseudomonas, Ralstonia, Kinectobacteria, etc. Alternatively, the microorganism may be Alcaligenes lipolytica, Alcaligenes latus, Ralstonia eutropha, Pseudomonas aeruginosa, Rhodococcus (Rhodococcus opacus) and Bacillus subtilis (Bacillus subtilis), etc.

Optionally, in the process of obtaining the highly active seed liquid, the secondary seed culture time is 8 to 14 hours, the dissolved oxygen 600 before transfer to the fermentation medium is 3 to 7, and the inoculum amount is 1-10% .

Alternatively, the polyhydroxyalkanoate PHA described in this application includes, but is not limited to, poly-β-hydroxybutyrate PHB, a copolymer of 3-hydroxybutyrate and 3-hydroxyvalerate PHBV, 3- Copolyesters of hydroxybutyric acid and 3-hydroxycaproic acid PHBHHx, poly-3-hydroxybutyrate-4-hydroxybutyrate P34HB.

Optionally, the fermentation medium is composed of: oil 10-20g/L, disodium hydrogen phosphate 1-5g/L, potassium dihydrogen phosphate 0.5-2g/L, ammonium sulfate 3-5g/L, sulfuric acid heptahydrate Magnesium 0.1-0.5g/L.

Optionally, the fermentation culture conditions at least include controlling the temperature between 28°C and 34°C, controlling the pH between 6.3 and 7.2, controlling the rotational speed between 200rpm and 1200rpm, and controlling the pressure at 0.02MPa. to 0.1MPa.

Optionally, the tail gas monitoring data includes oxygen consumption rate and carbon dioxide generation rate. Those skilled in the art understand that in real-time monitoring of multi-dimensional parameters in the fermentation process, parameters such as the volume percentage of oxygen in the air, the volume percentage of carbon dioxide in the air, the volume percentage of nitrogen in the air, the volume percentage of oxygen in the tail gas, the volume percentage of carbon dioxide in the tail gas, the volume percentage of nitrogen in the tail gas, the air flow rate, the gas molar volume and the fermentation liquid volume will be obtained, and the oxygen consumption rate and carbon dioxide generation rate are calculated and determined based on the above-mentioned specific parameters. Specifically, the oxygen consumption rate is determined by the following formula:

In formula (1), OUR is the oxygen consumption rate, O ₂ (Reference) is the volume percentage of oxygen in the air, O ₂ is the volume percentage of oxygen in the exhaust gas, and N ₂ (Reference) is the volume percentage of nitrogen in the air. , N ₂ is the volume percentage of nitrogen in the tail gas, F _m is the air flow rate, V _m is the gas molar volume, and V is the volume of the fermentation liquid.

Correspondingly, the carbon dioxide production rate is determined by the following formula:

In formula (2), CER is the carbon dioxide generation rate, CO ₂ (Reference) is the volume percentage of carbon dioxide in the air, CO ₂ is the volume percentage of carbon dioxide in the exhaust, and N ₂ (Reference) is the volume percentage of nitrogen in the air. , N ₂ is the volume percentage of nitrogen in the exhaust gas, F _m is air Flow rate, V _m is the molar volume of gas, and V is the volume of fermentation broth.

In step 102, the exhaust gas monitoring data is input into a quantitative relationship model, and the substrate consumption rate output by the quantitative relationship model is obtained.

The quantitative relationship model can reflect the quantitative relationship between the input exhaust gas monitoring data and the substrate consumption rate, that is, based on the oxygen consumption rate and the carbon dioxide generation rate, the corresponding substrate consumption rate can be determined.

The specific substrate consumption rate can be determined according to the above formula (1) and formula (2), and the following formula can be referred to:

In formula (3), V _s is the substrate consumption rate, α is the second coefficient, OUR is the oxygen consumption rate, β is the first coefficient, CER is the carbon dioxide generation rate, and Yeild is the conversion rate from substrate to product. The first coefficient β is calculated from the cellular respiration oxygen consumption rate and the cellular respiration _CO2 release rate; the second coefficient α is calculated from the first coefficient β, PHA synthesis oxygen consumption rate and PHA synthesis oxygen consumption, PHA Calculated from synthetic _CO2 release rate.

In step 103, a feeding speed instruction is determined according to the substrate consumption rate; wherein the feeding speed instruction is used to instruct feeding into the fermentation process according to the feeding speed. This application uses tail gas monitoring data as the main basis to establish a quantitative relationship model between tail gas monitoring data and substrate consumption rate. Based on the model feedback results, the feed flow acceleration is accurately controlled to achieve precise monitoring and control of the fermentation process status and ensure efficient and stable fermentation. run.

Optionally, the microbial fermentation control method provided by the present application further includes: inputting the oxygen consumption rate into a fermentation stage confirmation model, confirming the current target fermentation stage by the fermentation stage confirmation model, confirming the start and end of the feeding program based on the current target fermentation stage. And based on the current target fermentation stage, confirming the feeding control interval corresponding to the target fermentation stage; and regulating the feeding speed based on the value of the feeding control interval combined with the substrate consumption rate.

Optionally, the fermentation stage confirmation model is used to determine the target fermentation stage from the correspondence between all fermentation stages and the oxygen consumption rate according to the oxygen consumption rate. According to the oxygen consumption rate, the target fermentation stage is determined from the corresponding relationship between all fermentation stages and the oxygen consumption rate. Said all fermentation stages are different fermentation stages according to the change of polyhydroxyalkanoate PHA over time, Optionally, all the fermentation stages include the initial fermentation stage, the fermentation growth stage, the fermentation stable stage and the fermentation decay stage, and there will be obvious differences in the oxygen consumption rates under different fermentation stages, so this application can calculate the oxygen consumption rate based on the oxygen consumption rate. Determine the different fermentation stages of polyhydroxyalkanoate PHA. When it is determined to be the initial stage of fermentation, the feeding speed command is not issued, that is, there is no need to feed, and the feeding program has not started; when it is determined to be the growth stage of fermentation, the feeding instruction is issued, that is, the feeding program begins to be executed; When it is at the end of the fermentation decay period, the fermentation process is over, and it is confirmed that the feeding speed command is no longer issued, that is, the feeding program is ended.

In step 103, the feeding instruction is controlled and adjusted according to the target fermentation stage, and the feeding speed in the feeding instruction is determined according to the substrate consumption rate. Each fermentation stage has the corresponding Corresponding feeding control interval, the feeding control interval is used to control the feeding speed. This application uses exhaust gas monitoring data as the main basis to establish a quantitative relationship model between exhaust gas monitoring data and substrate consumption rate, and based on the model feedback results Accurately regulate the acceleration of the feed flow to achieve precise monitoring and control of the fermentation process status to ensure efficient and stable fermentation operation.

Optionally, the target fermentation stage includes an initial fermentation stage, a fermentation growth stage, a fermentation stable stage and a fermentation decline stage. The corresponding feeding control intervals are respectively: preset feeding speed, first feeding control interval, second feeding control interval. The feeding control interval and the third feeding control interval.

The materials supplemented in this application are oils and fats, which include but are not limited to edible vegetable oils and animal oils. The edible vegetable oils include but are not limited to soybean oil, palm oil, peanut oil, corn oil, rapeseed oil, peanut oil, Sesame oil, canola oil, refined coconut oil, rice bran crude oil, cottonseed crude oil, rice oil, refined safflower oil, linseed oil, pepper oil; the animal oils include but are not limited to fish oil, chicken fat, and beef tallow. , suet and lard.

The values of the preset feeding speed, the first feeding control interval, the second feeding control interval, and the third feeding control interval determined in this application are the preset feeding speeds.

Optionally, the preset feed rate used in the present application includes a feed rate within the feed control interval determined based on the substrate consumption rate in the historical data and the target fermentation stage corresponding to the substrate consumption rate. Through such historical sample data, the real-time substrate consumption rate is used as a parameter indicator to adjust the rate of flow addition oil replenishment during the fermentation process. For example, for a newly developed or new fermentation process, fermentation is carried out according to the preset value of the feed control interval during the fermentation process, and the real-time substrate consumption rate is obtained by using the present application for adjustment. Therefore, during the entire fermentation process, the production intensity of PHA can be maximized, the fermentation efficiency of PHA can be improved, and the technical problems of excessive oil accumulation in the fermentation matrix due to excessive oil replenishment and a decrease in production rate, and excessive foam in the fermentation liquid due to too small an oil replenishment number are solved.

Those skilled in the art understand that PHA fermentation is an oxygen-consuming process, and changes in microbial cell respiration reflect the metabolic state of the cells. Therefore, real-time monitoring of the fermentation process can be achieved by combining the oxygen consumption rate and the carbon dioxide production rate, which is very accurate for the fermentation process. It is of great significance to control and improve production efficiency and stability. This application can effectively improve the stability and production intensity of the PHA fermentation process. Based on the differences in growth characteristics at different fermentation stages, through real-time monitoring of changes in tail gas detection parameters during the fermentation process, it is established The quantitative relationship model between exhaust gas detection parameters and substrate consumption rate can monitor the substrate consumption rate in real time, accurately control the feeding rate, realize real-time monitoring and precise control of the fermentation process, and is suitable for large-scale industrial production.

This application provides a microbial fermentation control method, device, system, equipment and medium. During the fermentation process of polyhydroxyalkanoate, input tail gas monitoring data is obtained in real time, and the tail gas monitoring data is input into a quantitative relationship model in real time to determine the substrate. Consumption rate, according to the substrate consumption rate combined with the feeding control interval corresponding to the real-time fermentation stage of the polyhydroxyalkanoate, regulates the feeding speed instructions, thereby achieving feeding control for all stages of the fermentation of the polyhydroxyalkanoate. , this application achieves real-time monitoring and precise control of the entire fermentation process of polyhydroxyalkanoate through staged quantitative control of feeding, effectively improving the production intensity and fermentation stability of PHA.

Optionally, before determining the target fermentation stage from the correspondence between all fermentation stages and the oxygen consumption rate according to the oxygen consumption rate, the method includes:

When the oxygen consumption rate is 0 or less than the first preset threshold, it is determined that the polyhydroxyalkanoate at the moment corresponding to the oxygen consumption rate is in the initial stage of fermentation;

When the oxygen consumption rate is greater than or equal to the first preset threshold and less than the second preset threshold, it is determined that the polyhydroxyalkanoate at the moment corresponding to the oxygen consumption rate is in the fermentation growth stage;

When the oxygen consumption rate is greater than or equal to the second preset threshold and less than the third preset threshold, it is determined that the polyhydroxyalkanoate at the moment corresponding to the oxygen consumption rate is in a stable fermentation stage;

When the oxygen consumption rate shows signs of starting to decrease and is less than the third preset threshold, it is determined that the polyhydroxyalkanoate at the moment corresponding to the oxygen consumption rate is in the fermentation decay stage;

The corresponding relationship between all fermentation stages and the oxygen consumption rate is constructed based on the corresponding relationship between each fermentation stage and the oxygen consumption rate in the initial fermentation stage, the fermentation growth stage, the fermentation stable stage, and the fermentation decay stage.

When the oxygen consumption rate is greater than or equal to the first preset threshold and less than the second preset threshold, it is determined that the polyhydroxyalkanoate at the moment corresponding to the oxygen consumption rate is in the initial stage of fermentation, and the oxygen consumption rate can be is optionally 0mmol/L/h, and the first preset threshold is optionally 60mmol/L/h, that is, when the oxygen consumption rate is greater than or equal to 0mmol/L/h and less than 60mmol/L/h , it is determined that the polyhydroxyalkanoate at the moment corresponding to the oxygen consumption rate is in the initial stage of fermentation.

When the oxygen consumption rate is greater than or equal to the first preset threshold and less than the second preset threshold, it is determined that the polyhydroxyalkanoate at the moment corresponding to the oxygen consumption rate is in the fermentation growth stage, and the second preset The threshold is optionally 120mmol/L/h, that is, when the oxygen consumption rate is greater than or equal to 60mmol/L/h and less than 120mmol/L/h, determine the polyhydroxy fatty acid at the moment corresponding to the oxygen consumption rate. The ester is in the growth stage of fermentation.

When the oxygen consumption rate is greater than or equal to the second preset threshold and less than the third preset threshold, it is determined that the polyhydroxyalkanoate at the moment corresponding to the oxygen consumption rate is in the stable fermentation stage, and the third preset threshold can optionally be 160mmol/L/h, that is, when the oxygen consumption rate is greater than or equal to 120mmol/L/h and less than 160mmol/L/h, it is determined that the polyhydroxyalkanoate at the moment corresponding to the oxygen consumption rate is in the stable fermentation stage.

When the oxygen consumption rate begins to show a decreasing trend and is less than the third preset threshold, it is determined that the polyhydroxyalkanoate at the moment corresponding to the oxygen consumption rate is in the fermentation decay stage, that is, when the oxygen consumption rate begins to be less than 160 mmol /L/h, optionally within the range of 120mmol/L/h to 140mmol/L/h, the polyhydroxyalkanoate at the moment corresponding to the oxygen consumption rate is determined to be in the fermentation decay stage .

In such an embodiment, the oxygen consumption rate is monitored in real time, and the fermentation stage of the polyhydroxyalkanoate is determined based on the oxygen consumption rate. Specifically, the cells grow under initial base oil conditions, that is, the initial stage of fermentation. , the feeding rate is 0; after the cells enter the exponential growth phase, that is, the fermentation growth stage, OUR is between 60-120mmol/L/h, and the feeding rate is adjusted according to the substrate consumption rate; the cells enter the growth stationary phase, that is, fermentation In the stable stage, the OUR is between 120-160mmol/L/h, and the feeding speed is adjusted according to the substrate consumption rate; the cells gradually enter the decay stage, that is, the fermentation decay stage, the OUR is between 120-140mmol/L/h, and the feeding rate is adjusted according to the substrate consumption rate. The feed rate is adjusted based on the substrate consumption rate.

The corresponding relationship between all fermentation stages and the oxygen consumption rate is constructed according to the corresponding relationship between each fermentation stage and the oxygen consumption rate in the fermentation initial stage, the fermentation growth stage, the fermentation stable stage, and the fermentation decay stage, In the embodiment given in this application, there are four stages in total. In other fermentation controls, there can also be three stages, five stages or even more. The corresponding relationship between each fermentation stage and the oxygen consumption rate is determined by the relationship between each fermentation stage and the oxygen consumption rate. The set of corresponding relationships is the corresponding relationship between all fermentation stages and the oxygen consumption rate.

Figure 2 is a schematic flow chart of the fermentation stage confirmation model provided by this application. The fermentation stage confirmation model is also used for:

Confirm the fermentation start phase based on the current oxygen consumption rate and correspondence with the preset feed rate relation;

Based on the current oxygen consumption rate, confirm the fermentation growth stage and its correspondence with the first feeding control interval;

Based on the current oxygen consumption rate, confirm the fermentation stable stage and its correspondence with the second feeding control interval;

Based on the current oxygen consumption rate, confirm the fermentation decay stage and its correspondence with the third feeding control interval;

Optionally, based on the current target fermentation stage, confirm the feeding control interval corresponding to the target fermentation stage; regulate the feeding speed instruction based on the value of the feeding control interval combined with the substrate consumption rate, include:

When the target fermentation stage is the initial stage of fermentation, there is no need to feed. In an optional embodiment, the preset feeding speed is 0, that is, there is no need to feed the polyhydroxyalkanoate being fermented, and a small amount of oil can also be added according to the preset feeding speed, that is, according to the preset feeding speed. Set the feeding speed to generate feeding speed instructions. Those skilled in the art understand that the time point for oil replenishment is to start feeding after the oil and fat added to the culture medium has been consumed for a period of time. The OD value is mainly relied on to determine whether to start feeding. OD is the concentration, color, and bacteria of the fermentation medium. A comprehensive indicator of bacterial growth and bacterial cell elongation. Under normal circumstances, when the OD is greater than or equal to 30, you can start feeding.

When the target fermentation stage is the fermentation growth stage, fermentation stability stage or fermentation decline stage, oil replenishment is performed according to the preset feeding speed, and then combined with the real-time substrate consumption rate V _s as the oil replenishment required at the current moment. rate to adjust the oil replenishment rate.

In step 201, the corresponding relationship between the initial stage of fermentation and the preset feeding speed is confirmed. When the fermentation of polyhydroxyalkanoate is in the initial stage of fermentation, the preset feeding speed is determined. The preset feeding speed is determined. The speed is optionally 0, that is, there is no need to feed the polyhydroxyalkanoate being fermented during the entire initial stage of fermentation of the polyhydroxyalkanoate.

In step 202, the correspondence between the fermentation growth stage and the first feeding control interval is confirmed. When the fermentation of polyhydroxyalkanoic acid ester is in the fermentation growth stage, the value of the first feeding control interval includes the substrate consumption rate at the beginning of feeding in the fermentation growth stage to the substrate consumption rate before the beginning of the fermentation stabilization stage. The first feeding control interval can optionally be 3g/L/h to 5g/L/h, that is, in the fermentation growth stage, the feeding speed is controlled according to a rate of 3g/L/h to 5g/L/h.

In step 203, the correspondence between the fermentation stabilization stage and the second feeding control interval is confirmed. When the fermentation of polyhydroxyalkanoic acid ester is in the fermentation stabilization stage, the value of the second feeding control interval includes the substrate consumption rate at the beginning of feeding in the fermentation stabilization stage to the substrate consumption rate before the beginning of the fermentation decay stage. The second feeding control interval can be optionally 5g/L/h to 10g/L/h, that is, in the fermentation stabilization stage, the feeding speed is controlled according to a rate of 5g/L/h to 10g/L/h.

In step 204, the corresponding relationship between the fermentation decay stage and the third feeding control interval is confirmed. When the fermentation of polyhydroxyalkanoate is in the fermentation decay stage, the value of the third feeding control interval includes The substrate consumption rate from the beginning of feeding in the decay stage of fermentation to the substrate consumption rate at the end of fermentation, the third feeding control interval is optionally 3g/L/h to 6g/L/h, That is, during the decay stage of fermentation, the feeding speed is controlled according to the rate of 3g/L/h to 6g/L/h.

In another optional embodiment, the substrate consumption rate and each feed A linear fitting relationship is established for the feed rate in the control interval, or an exponential function fitting relationship is constructed to determine different feed rates in each feed control interval according to different substrate consumption rates.

Figure 3 is a schematic flow chart for calculating the substrate consumption rate based on the quantitative relationship provided by this application. The quantitative relationship model is used to calculate the substrate consumption rate based on the quantitative relationship established between the oxygen consumption rate, the carbon dioxide generation rate and the substrate conversion rate. The substrate consumption rate;

The quantitative relationship model specifically includes the following execution steps:

The substrate consumption rate is determined based on the consumption fraction and the substrate conversion rate.

Specifically, the process of establishing the quantitative relationship model between tail gas monitoring data and substrate consumption rate is as follows:
OUR＝OUR1+OUR2 (4)
CER＝CER1+CER2 (5)

In formula (4) and formula (5), OUR is the oxygen consumption rate, CER is the carbon dioxide production rate, OUR1 is the oxygen consumption rate of PHA synthesis, OUR2 is the cellular respiration oxygen consumption rate, CER1 is the _CO2 release rate of PHA synthesis, and CER2 is Cellular respiration _CO2 release rate.

Further, the ratio k ₁ of PHA synthesis oxygen consumption rate and CO ₂ release rate is:

Further, the ratio β of cellular respiration oxygen consumption rate to CO ₂ release rate is:

Further, there are

According to the consumption of k ₂ grams of oxygen to synthesize 1 gram of PHA, the PHA synthesis rate V _p is:

Assuming that the conversion rate of oil to PHA is Yield, the substrate consumption rate V _s is:

make then get That is formula (3).

In step 301, the carbon dioxide generation component is determined according to the product of the carbon dioxide generation rate and a first coefficient β, the first coefficient having an optional value range between 1 and 3.

In step 302, a consumption difference is determined according to a difference between the oxygen consumption rate and the carbon dioxide generation component. Specifically, the consumption difference is determined by subtracting the carbon dioxide generation component from the oxygen consumption rate.

In step 303, a consumption component is determined based on the product of the consumption difference and a second coefficient. The value range of the second coefficient α can be between 0.5 and 0.8.

In step 304, the substrate consumption rate is determined according to the quotient of the consumption component and the conversion rate of substrate to product. Specifically, you can refer to the above formula (3), which will not be described in detail here. Alternatively, the substrate The conversion to product ranges from 0.65 to 0.9.

Figure 4 is a schematic structural diagram of a microbial fermentation control system provided by this application. This application discloses a microbial fermentation control system, including a microbial fermentation control device 6 for controlling the microbial fermentation process based on the tail gas monitoring data;

It also includes: a fermentation tank 1, used to provide a fermentation environment for microorganisms;

Tail gas sampling pipeline 2, used to collect tail gas from the fermentation tank;

Flow distributor 3, used for flow adjustment;

Exhaust gas spectrometry analysis device 4, used to analyze the component information of the exhaust gas;

An exhaust gas status monitoring unit 5, used to obtain exhaust gas monitoring data;

In the present application, the multi-dimensional parameters in the fermentation process will be realized through the exhaust gas mass spectrometry analysis device 4, and the exhaust gas state monitoring unit 5 is used to obtain the exhaust gas monitoring data. The fermentation exhaust gas passes through the exhaust gas sampling pipeline 2 from the fermentation tank 1 through the flow distributor 3 for flow regulation, and then enters the exhaust gas mass spectrometry analysis device 4. The volume flow rate entering the exhaust gas mass spectrometry analysis device 4 is 0-2L/min. The exhaust gas mass spectrometry analysis device 4 can effectively detect the changes in the concentrations of a series of components such as oxygen concentration, carbon dioxide concentration, and nitrogen concentration in the exhaust gas. After that, the exhaust gas mass spectrometry analysis device 4 transmits the detected result information to the exhaust gas state monitoring unit 5, which can monitor the concentration content information of each component in the exhaust gas in real time. Finally, based on the quantitative relationship model between the exhaust gas monitoring parameters and the substrate consumption rate, the microbial fermentation control device 6 is adjusted in real time to adjust the feeding rate. Specifically, the establishment process of the quantitative relationship model between the exhaust gas monitoring data and the substrate consumption rate refers to the above process, which will not be repeated here.

The application also includes a memory and a program or instruction stored on the memory and executable on the microbial fermentation control device 6. When the program or instruction is executed by the microbial fermentation control device 6, the program or instructions for preparing A fermentation control method for polyhydroxyalkanoate, which method includes: collecting tail gas monitoring data of the fermentation process of microorganisms; inputting the tail gas monitoring data to a quantitative relationship model for data analysis; and outputting a substrate consumption rate from the quantitative relationship model. ; Determine the feeding speed instruction according to the substrate consumption rate; the feeding speed instruction is used to instruct feeding to the fermentation process according to the feeding speed.

In order to verify that this application can play a role in real-time monitoring and precise control of the entire fermentation process, and to verify that this application can increase PHA production, increase PHA production intensity, and improve the conversion rate from substrate to product, this application will be combined with the following experimental examples Explanation:

As Comparative Experiment Example 1 of this application, the control method of this application is not used, and the existing program feeding form is used, that is, the process of fermentation and production of PHA is fed according to the numerical interval set by experience:

Seed culture: PHBHHx is fermented with Eutrophus rosenbergii as the base strain. First, perform a first-level activation culture at 30°C and 200 rpm. Cultivate to about 10, and then inoculate it into the seed culture medium with 1% (v/v). Cultivate for 10 hours at 30°C and 200 rpm. The seed culture medium is peptone 10g/L, yeast powder 3g/L, and ammonium sulfate 3g/L.

Fermentation culture: Inoculate 10% of the inoculum into 35L of sterilized fermentation medium. The fermentation conditions are as follows: temperature is controlled at 30°C, pH is controlled at 6.5, ventilation volume is controlled at 1vvm, rotation speed is controlled at 200rpm, and pressure is controlled at 0.04MPa, the fermentation medium is palm oil 10g/L, disodium hydrogen phosphate 1g/L, potassium dihydrogen phosphate 2g/L, ammonium sulfate 3g/L, and magnesium sulfate heptahydrate 0.2g/L.

The process set according to experience:

Fermentation 0-10h, the stirring speed and dissolved oxygen coupling are controlled at 30%, and the maximum speed is 300rpm;

Ferment for 10-30 hours, add oil at a constant flow rate of 3g/L/h;

After fermentation for 30-50 hours, adjust the oil supply rate to 6g/L/h;

Ferment for 50-56 hours, adjust the oil supply rate to 4g/L/h, and maintain it until the tank is loaded. When the tank is finally loaded, the PHA output is 8.40kg, the PHA production intensity is 3g/L/h, and the conversion rate from substrate to product 80%.

Experimental Example 1: Compared with Comparative Experimental Example 1, the control method of this application is used to feed the process of fermentation to produce PHA:

Seed culture: The same as in Comparative Experiment Example 1, and will not be repeated here.

Fermentation culture: The same as Comparative Experiment Example 1, and will not be repeated here.

Exhaust gas quantitative relationship model construction: According to the fermentation control conditions, exhaust gas monitoring parameters are established to monitor the exhaust gas parameter indicators OUR and CER in the exhaust gas status monitoring software. At the same time, a quantitative relationship between exhaust gas monitoring data and substrate consumption rate is established.

Based on the fermentation control of this application, the following process is obtained:

After 10-30 hours of fermentation, feed feeding begins. Based on the real-time substrate consumption rate V _s , the oil replenishment rate is adjusted in real time, and the oil replenishment rate is controlled between 3.3-4.3g/L/h;

Fermentation for 30-50h, based on the real-time substrate consumption rate V _s , adjust the oil replenishment rate in real time, and the oil replenishment rate reaches 4.3-6.4g/L/h;

After fermentation for 50-56 hours, based on the real-time substrate consumption rate V _s , the oil replenishment rate was adjusted in real time, and the oil replenishment rate reached 4.6-5.0g/L/h; when the tank was finally loaded, compared with the program replenishment of the first comparative example Fermentation, using the quantitative model fed-batch mode, the PHA yield increased by 23.3% to 10.36kg, the PHA production intensity increased by 16.3% to 3.49g/L/h, and the substrate-to-product conversion rate increased from 80% to 85 %.

As Comparative Experiment Example 2 of this application, the control method of this application is not used, and the existing program feeding form is adopted, that is, the process of fermentation and production of PHA is fed according to the numerical interval set by experience:

Fermentation culture: The fermentation medium is soybean oil 10g/L. The other conditions are the same as those in Comparative Experiment Example 1 and will not be described again here.

The process set according to experience:

Ferment for 10-30 hours, add oil at a constant flow rate of 3g/L/h;

After fermentation for 30-50 hours, adjust the oil supply rate to 5g/L/h;

Ferment for 50-56 hours, adjust the oil supply rate to 3g/L/h, and maintain it until the tank is loaded. When the tank is finally loaded, the fermentation results are shown in Table 1. The PHA output is 6.75kg, and the PHA production intensity is 2.41g/L/h. , substrate Conversion to product was 75%.

Experimental Example 2: Compared with Comparative Experimental Example 2, the control method of this application is used to feed the process of fermentation to produce PHA:

Exhaust gas quantitative relationship model construction: According to the fermentation control conditions, exhaust gas monitoring parameters are established to monitor the exhaust gas parameter indicators OUR and CER in the exhaust gas status monitoring software. At the same time, a quantitative relationship between the exhaust gas monitoring parameters and the substrate consumption rate is established.

After 10-30 hours of fermentation, feed feeding begins. Based on the real-time substrate consumption rate V _s , the oil replenishment rate is adjusted in real time, and the oil replenishment rate is controlled between 3-4g/L/h;

After fermentation for 30-50 hours, based on the real-time substrate consumption rate V _s , adjust the oil replenishment rate in real time to 3.5-5.5g/L/h;

Fermentation 50-56h, based on the real-time substrate consumption rate V _s , the oil replenishment rate is adjusted in real time, and the oil replenishment rate is 4.0-5.0g/L/h; when the tank is finally loaded, the fermentation results are compared with the programmed fed-batch fermentation, using quantitative The PHA production in the model fed-batch mode increased by 15.6% to 7.8kg, the PHA production intensity increased by 15.8% to 2.79g/L/h, and the substrate-to-product conversion rate increased from 75% to 78%.

As Comparative Experiment Example 3 of this application, the control method of this application is not used, and the existing program feeding form is used, that is, the process of fermentation and production of PHA is fed according to the numerical interval set by experience:

Seed culture: PHB is fermented using Eutrophus rosenbergii as the base strain. Others are the same as in Comparative Experiment Example 1 and will not be described again here.

The process set according to experience:

During fermentation for 0-10h, the stirring speed and dissolved oxygen coupling were controlled at 30%, and the maximum speed was 300rpm;

Ferment for 10-30 hours, add oil at a constant flow rate of 3g/L/h;

After fermentation for 30-50 hours, adjust the oil supply rate to 4.5g/L/h;

Ferment for 50-56 hours, adjust the oil supply rate to 3.5g/L/h, and maintain it until the tank is loaded. When the tank is finally loaded, the PHA output is 6.65kg, and the PHA production intensity is 2.38g/L/h. The conversion of substrate into product The rate is 76%.

Experimental Example 3: Compared with Comparative Experimental Example 3, the control method of this application is used to feed the process of fermentation to produce PHA:

After 30-50 hours of fermentation, the oil replenishment rate was adjusted in real time based on the real-time substrate consumption rate V _s to 3-4.5 g/L/h;

After 50-56 hours of fermentation, the oil replenishment rate was adjusted in real time based on the real-time substrate consumption rate _Vs , and the oil replenishment rate was adjusted to 3-3.5 g/L/h. When the fermentation was finally carried out, compared with the third comparative example, the PHA yield in the third example under the quantitative model feeding mode was increased by 5.6% to 7.02 kg, the PHA production intensity was increased by 5.5% to 2.51 g/L/h, and the conversion rate of substrate to product was increased from 76% to 78%.

In order to further verify whether the fermentation control process of this application is applicable to different fermentation conditions, this application also conducted experimental examples under conditions of different active strains, different culture media, different rotation speeds, etc.:

Experimental Example 4: Use highly active seeds and use the control method of this application to feed the process of fermentation to produce PHA:

Seed culture: inoculate 3% (v/v) into the seed culture medium. The other conditions are the same as those in Comparative Experimental Example 1 and will not be described again here.

Fermentation culture: Same as comparative experimental example 1, no further details are given here.

After fermentation for 10-30 hours, feed feeding begins. Based on the real-time substrate consumption rate V _s , the oil replenishment rate is adjusted in real time, and the oil replenishment rate is controlled between 4-5g/L/h;

After fermentation for 30-50 hours, based on the real-time substrate consumption rate V _s , the oil replenishment rate is adjusted in real time to 6-8g/L/h;

Fermentation 50-56h, based on the real-time substrate consumption rate V _s , adjust the oil replenishment rate in real time, and the oil replenishment rate reaches 4-5g/L/h; when it is finally put into the tank, in the high-activity seed and quantitative model feeding mode, PHA The output was further increased to 12.18kg, the PHA production intensity reached 3.95g/L/h, and the conversion rate from substrate to product was 82%.

Experimental Example 5: Use different fermentation media and use the control method of this application to feed the process of fermentation to produce PHA:

Fermentation culture: The fermentation medium is 20g/L palm oil, 1g/L disodium hydrogen phosphate, 2g/L potassium dihydrogen phosphate, 3g/L ammonium sulfate, and 0.1g/L magnesium sulfate heptahydrate. Others are the same as Comparative Experiment Example 1. , we won’t go into details here.

After 10-30 hours of fermentation, feed feeding begins. Based on the real-time substrate consumption rate V _s , the oil replenishment rate is adjusted in real time, and the oil replenishment rate is controlled between 3.5-4.5g/L/h;

After fermentation for 30-50 hours, based on the real-time substrate consumption rate V _s , adjust the oil replenishment rate in real time to 5-7g/L/h;

After 50-56h of fermentation, the oil replenishment rate was adjusted in real time based on the real-time substrate consumption rate _Vs , and the oil replenishment rate was 4.5-6.5g/L/h. When the fermentation was finally started, under different culture media and quantitative model feeding modes, the PHA yield reached 10.61kg, the PHA production intensity reached 3.64g/L/h, and the conversion of substrate to product The rate is 85%.

Experimental Example 6: Use different rotation speeds and use the control method of this application to feed the process of fermentation to produce PHA:

Fermentation culture: The fermentation conditions are as follows: the temperature is controlled at 30°C, the pH is controlled at 6.5, the ventilation volume is controlled at 1vvm, the rotation speed is controlled at 300rpm, and the pressure is controlled at 0.04MPa. The other conditions are the same as those in Comparative Experiment Example 1 and will not be repeated here.

Fermentation for 30-50h, based on the real-time substrate consumption rate V _s , adjust the oil replenishment rate in real time to 5.5-8.5g/L/h;

Fermentation 50-56h, based on the real-time substrate consumption rate V _s , the oil replenishment rate is adjusted in real time, and the oil replenishment rate is 6.5-4.5g/L/h; when it is finally discharged from the tank, under the increased speed and quantitative model feeding mode, PHA The output reached 10.79kg, the PHA production intensity reached 3.71g/L/h, and the conversion rate from substrate to product was 83%.

In order to conveniently check the correspondence between different influencing factors and PHA production, PHA production intensity and substrate to product conversion rate, this application summarizes the various parameters and test results of the above comparative experimental examples 1-3 and experimental examples 1-6 , as shown in Table 1 below.

Table 1

Among them, the oil supplement amount represents the total oil added mass at the end of fermentation, PHA production represents the product of PHA concentration and fermentation volume at the end of fermentation, PHA production intensity represents the average PHA synthesis rate during the fermentation process, and the substrate to product conversion rate represents The ratio of product PHA to substrate oil mass.

As shown in Figure 5, Figure 5 is a diagram showing the effect of using the microbial fermentation control method provided by the present application, in which the PHA production intensity and substrate-to-product conversion rate of Comparative Experimental Examples 1-3 and Experimental Examples 1-6 are further compared. (Substrate conversion rate), it can be intuitively seen that in terms of production intensity and substrate conversion efficiency, Experimental Examples 1-3 are better than the corresponding Comparative Experimental Examples 1-3 respectively; and even under different fermentation conditions , for example, the production intensity and substrate conversion rate of Experimental Examples 4-6 are also higher than Comparative Experimental Example 1. At the same time, combined with Experimental Example 1, it can be verified that the control method provided by this application has relatively high stability.

This application provides a microbial fermentation control method, device, system, equipment and medium. Taking the fermentation process of polyhydroxyalkanoate as an example, the input tail gas monitoring data is obtained in real time during the fermentation process of polyhydroxyalkanoate, and the input tail gas monitoring data is obtained in real time. After the exhaust gas monitoring data is input into the quantitative relationship model, the substrate consumption rate is determined. According to the substrate consumption rate, the feeding speed instructions are adjusted within the feeding control interval corresponding to the real-time fermentation stage of the polyhydroxyalkanoate, thereby realizing the control of the polyhydroxyalkanoate. Feeding control at all stages of the fermentation of hydroxyalkanoate. This application achieves real-time monitoring and precise control of the entire fermentation process of polyhydroxyalkanoate through precise quantitative control of feeding, effectively improving the production intensity and fermentation of PHA. stability.

Figure 6 is a schematic structural diagram of a microbial fermentation control device provided by this application. Taking the fermentation control process of polyhydroxyalkanoate as an example, this application provides a fermentation control device for preparing polyhydroxyalkanoate, including:

Collection unit 51: used to collect tail gas monitoring data of the fermentation process of microorganisms;

Analysis unit 52: used to input the exhaust gas monitoring data to a quantitative relationship model for data analysis; output the substrate consumption rate from the quantitative relationship model;

Determining unit 53: used to determine a feeding speed instruction according to the substrate consumption rate;

In a microbial fermentation control device provided by this application, the analysis unit further includes: for inputting the oxygen consumption rate to a fermentation stage confirmation model, and using the fermentation stage confirmation model to confirm the current target fermentation stage, based on the current The target fermentation stage confirms the start and end of the feeding program; and is used to confirm the feeding control interval corresponding to the target fermentation stage based on the current target fermentation stage; based on the value of the feeding control interval combined with the substrate consumption Rate controls the feeding speed.

Figure 7 is a schematic structural diagram of an electronic device provided by this application. As shown in Figure 7, the electronic device may include: a processor (processor) 610, a communications interface (Communications Interface) 620, a memory (memory) 630, and a communications bus 640. The processor 610, the communications interface 620, and the memory 630 pass through The communication bus 640 completes mutual communication. Processor 610 can call The logic instructions in the memory 630 are used to execute a microbial fermentation control method. The method includes: collecting tail gas monitoring data of the fermentation process of microorganisms; respectively inputting the tail gas monitoring data to the fermentation stage confirmation model and the quantitative relationship model for data analysis; The fermentation stage confirmation model outputs a target fermentation stage, and the quantitative relationship model outputs a substrate consumption rate; the feeding speed instruction is regulated according to the substrate consumption rate combined with the feeding control interval of the target fermentation stage; the feeding speed The command is used to instruct the feed to be fed to the fermentation process according to the feeding rate.

In addition, the above-mentioned logical instructions in the memory 630 can be implemented in the form of software functional units and can be stored in a computer-readable storage medium when sold or used as an independent product. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the existing technology or the part of the technical solution can be embodied in the form of a software product. The computer software product is stored in a storage medium, including Several instructions are used to cause a computer device (which may be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of this application. The aforementioned storage media include: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic disk or optical disk and other media that can store program code. .

On the other hand, the present application also provides a computer program product. The computer program product includes a computer program. The computer program can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can Implementing a microbial fermentation control method provided by each of the above methods, the method includes: collecting tail gas monitoring data of the fermentation process of microorganisms; inputting the tail gas monitoring data to the fermentation stage confirmation model and the quantitative relationship model for data analysis; The fermentation stage confirmation model outputs a target fermentation stage, and the quantitative relationship model outputs a substrate consumption rate; the feeding speed instruction is determined or regulated according to the substrate consumption rate combined with the feeding control interval of the target fermentation stage; the feeding speed instruction The speed command is used to instruct feeding to the fermentation process according to the feeding speed.

On the other hand, the present application also provides a non-transitory computer-readable storage medium on which a computer program is stored. The computer program is implemented when executed by a processor to perform the above methods to provide a microbial fermentation control method. The method includes: Collect tail gas monitoring data of the fermentation process of microorganisms; input the tail gas monitoring data to the fermentation stage confirmation model and the quantitative relationship model for data analysis; output the target fermentation stage from the fermentation stage confirmation model, and output the bottom line from the quantitative relationship model The feeding speed instruction is determined or regulated based on the substrate consumption rate combined with the feeding control interval of the target fermentation stage; the feeding speed instruction is used to instruct feeding to the fermentation process according to the feeding speed.

The device embodiments described above are only illustrative. The units described as separate components may or may not be physically separated. The components shown as units may or may not be physical units, that is, they may be located in One location, or it can be distributed across multiple network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution of this embodiment. Persons of ordinary skill in the art can understand and implement the method without any creative effort.

Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on this understanding, the part of the above technical solutions that essentially contributes to the existing technology can be embodied in the form of a software product. The computer software product can be stored in a computer-readable storage medium, such as ROM/RAM, magnetic disc, optical disk, etc., including a number of instructions to cause a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in various embodiments or certain parts of the embodiments.

Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present application, rather than to Its limitations; although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or make equivalent substitutions for some of the technical features. However, these modifications or substitutions do not deviate from the spirit and scope of the technical solutions of the embodiments of this application.

Claims

A microbial fermentation control method, including:

Collect tail gas monitoring data of microbial fermentation process;

Input the exhaust gas monitoring data to a quantitative relationship model for data analysis, and output the substrate consumption rate from the quantitative relationship model;

Determine the feeding speed instruction according to the substrate consumption rate;

The feeding speed instruction is used to instruct feeding to the fermentation process according to the feeding speed.
The microbial fermentation control method according to claim 1, wherein the tail gas monitoring data includes oxygen consumption rate, carbon dioxide generation rate, PHA synthesis oxygen consumption rate, PHA synthesis CO2 release rate, cellular respiration oxygen consumption rate, cellular respiration CO 2 release rate;

The quantitative relationship model is used to calculate the substrate consumption rate based on the quantitative relationship established between the oxygen consumption rate, the carbon dioxide generation rate and the substrate conversion rate;

The quantitative relationship model specifically performs the following steps:

Determine the carbon dioxide production component according to the carbon dioxide production rate and the first coefficient;

Determine a consumption difference based on the oxygen consumption rate and the carbon dioxide production component;

Determine a consumption component according to the consumption difference and the second coefficient;

Determine the substrate consumption rate according to the consumption component and the substrate conversion rate;

The first coefficient is calculated from the cellular respiration oxygen consumption rate and the cellular respiration CO 2 release rate; the second coefficient is calculated from the first coefficient, PHA synthesis oxygen consumption rate and PHA synthesis oxygen consumption, PHA synthesis CO 2 The release rate was calculated.
The microbial fermentation control method according to claim 2, wherein the microbial fermentation control method further includes:

Input the oxygen consumption rate to the fermentation stage confirmation model, confirm the current target fermentation stage by the fermentation stage confirmation model, and confirm the start and end of the feeding program based on the current target fermentation stage;

And based on the current target fermentation stage, confirm the feeding control interval corresponding to the target fermentation stage; regulate the feeding speed based on the value of the feeding control interval combined with the substrate consumption rate.
The microbial fermentation control method according to claim 3, wherein,

The target fermentation stage includes the initial stage of fermentation, the growth stage of fermentation, the stable stage of fermentation, and the decay stage of fermentation. The corresponding feeding control intervals are: preset feeding speed, first feeding control interval, and second feeding control interval. , the third feeding control interval;

The values of the preset feeding speed, the first feeding control interval, the second feeding control interval, and the third feeding control interval are the preset feeding speeds.
The microbial fermentation control method according to any one of claims 1 to 4, wherein the microorganism is a microorganism capable of accumulating polyhydroxyalkanoate in the cell, including microorganisms of the following genera: Aeromonas, Alkali bacteria, Azotobacter, Bacillus, Clostridium, Halobacterium, Nocardia, Rhodospirillum, Pseudomonas, Ralstonia, Kinectobacter.
A microbial fermentation control device, including:

Collection unit: used to collect tail gas monitoring data of the fermentation process of microorganisms;

Analysis unit: used to input the exhaust gas monitoring data to a quantitative relationship model for data analysis; output the substrate consumption rate from the quantitative relationship model;

Determining unit: used to determine the feeding speed instruction according to the substrate consumption rate;

The feeding speed instruction is used to instruct feeding to the fermentation process according to the feeding speed.
The microbial fermentation control device according to claim 6, comprising:

The analysis unit also includes: for inputting the oxygen consumption rate to the fermentation stage confirmation model, confirming the current target fermentation stage by the fermentation stage confirmation model, and confirming the start and end of the feeding program based on the current target fermentation stage; and for For the current target fermentation stage, confirm the feeding control interval corresponding to the target fermentation stage; regulate the feeding speed based on the value of the feeding control interval combined with the substrate consumption rate.
A microbial fermentation control system, comprising the microbial fermentation control device according to claim 6 or 7, used to control the fermentation process of microorganisms based on the tail gas monitoring data;

Also includes:

Fermentation tank, used to provide a fermentation environment for microorganisms;

An exhaust gas sampling pipeline for collecting exhaust gas from the fermentation tank;

Flow distributor for flow regulation;

Exhaust gas mass spectrometry analyzer, used to analyze exhaust gas component information;

Exhaust gas status monitoring unit, used to obtain exhaust gas monitoring data;

The microorganism is a microorganism capable of accumulating polyhydroxyalkanoate within the cell.
An electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein when the processor executes the computer program, it implements claims 1 to 5 The microbial fermentation control method described in any one of the above.
A non-transitory computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the microbial fermentation control method according to any one of claims 1 to 5 is implemented.