Method for improving ring opening rate of monascus milovastatin

Abstract

The invention provides a method for improving the open-loop rate of monascus milovastatin, and relates to the technical field of biology, and the method comprises the following steps: collecting real-time data of monascus rice, monitoring pH, temperature and dissolved oxygen level, obtaining real-time monitoring data, using the data to calculate and adjust parameter difference, adjusting pH, temperature and dissolved oxygen parameters, and obtaining parameter adjustment data. According to the method, the control precision and the reaction efficiency of the production process are improved by monitoring and adjusting key environmental parameters in the red yeast rice fermentation process in real time. The application of real-time data enables environment adjustment to be more accurate, production changes can be rapidly adapted, resource waste is effectively reduced, and production efficiency is improved. The introduction of the adaptive control technology not only accurately adjusts environmental parameters, but also enhances the stability of the whole fermentation process and reduces the production fluctuation through the refined adjustment of the incremental control strategy.

Description

Technical Field

[0001] The invention relates to the field of biotechnology, in particular to a method for improving the ring-opening rate of red yeast rice milovastatin. Background Art

[0002] In the production process of Monascus milvastatin, the existing technology lacks real-time monitoring and dynamic adjustment of fermentation environment parameters such as temperature and pH. This static production method easily leads to fluctuations in the content of bioactive substances such as lovastatin, affecting the efficacy and safety of the product. If the fermentation environment is not accurately controlled, the growth of Monascus and the synthesis efficiency of lovastatin may be negatively affected, resulting in inconsistent quality between product batches, affecting consumer trust and market performance. Summary of the invention

[0003] The purpose of the present invention is to solve the shortcomings of the prior art and to propose a method for improving the ring opening rate of red yeast rice milvastatin.

[0004] In order to achieve the above object, the present invention adopts the following technical scheme: a method for improving the ring opening rate of red yeast rice milovastatin, comprising the following steps: Collect real-time data of red yeast rice, monitor pH, temperature and dissolved oxygen levels, obtain real-time monitoring data, use data to calculate and adjust parameter differences, adjust pH, temperature and dissolved oxygen parameters, and obtain parameter adjustment data; Based on the parameter adjustment data, the adjustment amplitude is calculated by adaptive control, each parameter is adjusted to reach a predetermined target value, an adjusted environmental state is obtained, the influence of the adjusted environmental state on the ring-opening reaction of lovastatin is monitored, and an environmental optimization result is obtained; Using the environmental optimization result, an incremental control strategy is introduced to gradually fine-tune the fermentation environmental parameters to obtain fine-tuning parameter data, the fine-tuning parameter data is analyzed to determine the impact on the ring-opening reaction of lovastatin, and an incremental adjustment result is obtained; The incremental adjustment result is applied to optimize the fermentation environment, adjust the state of the lovastatin ring-opening reaction, and continuously monitor the correlation between the environmental state and the lovastatin ring-opening reaction rate to generate the optimized ring-opening efficiency result.

[0005] Preferably, the step of acquiring the parameter adjustment data is: Collect real-time data of red yeast rice, monitor pH, temperature and dissolved oxygen levels, and obtain real-time monitoring data; Based on the real-time monitoring data, the deviation between each parameter and the target state is calculated using the formula: Calculate the adjustment range and obtain preliminary adjustment data; among them, represents the parameter adjustment range, represents the target parameter value, Represents the current parameter value, represents the optimal parameter value, and is the adjustment factor, Immediate response strength for balancing deviations, Used to adjust the sensitivity and speed of long-term adjustments; Based on the preliminary adjustment data, the pH, temperature and dissolved oxygen parameters are adjusted to obtain parameter adjustment data.

[0006] Preferably, the steps of obtaining the adjusted environmental state are: Based on the parameter adjustment data, pH, temperature and dissolved oxygen parameters in the fermentation environment are adjusted; Continue to monitor the adjusted pH, temperature and dissolved oxygen parameters to ensure that each parameter reaches the predetermined target value; To analyze the response of the ring-opening reaction of lovastatin to adjustments, the formula was used: Calculate the environmental adaptability and obtain the adjusted environmental state; among them, Represents the new environment state, Represents the current environment status. represents the optimal environmental state, represents the target environment state, and is the adjustment factor, It is used to adjust the adaptive adjustment to the current state, and Manage the adjustment efforts to achieve the target state.

[0007] Preferably, the steps of obtaining the environment optimization result are: Based on the adjusted environmental state, an incremental control strategy is introduced to gradually fine-tune the pH, temperature and dissolved oxygen parameters of the fermentation environment to obtain fine-tuning parameter data; Using the fine-tuning parameter data, continuing to monitor the state of the lovastatin ring-opening reaction, analyzing the effect of the fine-tuning environment on the reaction rate, and obtaining the fine-tuning environment state data; Based on the fine-tuned environmental state data, the environmental adaptability and reaction efficiency are judged using the formula: Calculate the environmental optimization effect and obtain the environmental optimization result; among them, Represents the result of environmental optimization. represents the current response rate, represents the baseline response rate, is the standardized adjustment coefficient, It is the adjustment intensity coefficient used to amplify or reduce the impact of environmental regulation on the reaction rate.

[0008] Preferably, the step of acquiring the fine-tuning parameter data is: Based on the environmental optimization results, an incremental control strategy is introduced to gradually fine-tune the pH, temperature and dissolved oxygen parameters in the fermentation environment, monitor the effect of each adjustment, and obtain preliminary fine-tuning data; Analyzing the adjustment trend of each parameter in the preliminary fine-tuning data and its influence on the ring-opening reaction of lovastatin, determining the adjustment value of each parameter, and obtaining detailed fine-tuning parameter data; Based on the detailed fine-tuning parameter data, the influence of each parameter adjustment on the ring-opening reaction rate of lovastatin is determined to obtain the fine-tuning parameter data.

[0009] Preferably, the step of obtaining the incremental adjustment result is: Based on the fine-tuning parameter data, fine-tune the fermentation environment, and fine-tune each parameter to obtain fine-tuning data; Using the refined fine-tuning data, monitoring the progress of the ring-opening reaction of lovastatin, the effect of the fine-tuning measures on the reaction efficiency, and obtaining reaction efficiency data; Based on the reaction efficiency data, the correlation between the environmental state and the ring-opening reaction rate of lovastatin was analyzed using the formula: Calculate the comprehensive effect of the incremental adjustment to obtain the incremental adjustment result; where, Representation, adjustment results, represents the reaction efficiency after fine-tuning, represents the initial reaction efficiency, and is to adjust the weight, Used to balance the impact of logarithmic terms, The square root term is adjusted to enhance the increase in efficiency.

[0010] Preferably, the steps for obtaining the optimized open-loop efficiency result are: Based on the incremental adjustment result, optimizing the fermentation environmental parameters to obtain optimized environmental parameter data; Using the optimized environmental parameter data, monitoring and recording the continuous state of the ring-opening reaction of lovastatin, determining the long-term effect of environmental adjustment on the reaction efficiency, and obtaining continuous monitoring data; Based on the continuous monitoring data, the formula is applied: Calculate the open-loop efficiency and obtain the optimized open-loop efficiency result; where: Represents the optimized open-loop efficiency result, represents the optimized response rate, represents the baseline response rate, and is the adjustment factor, Used to adjust the linearization of logarithmic effects, The square effect of the improvement in enhanced response rate.

[0011] Compared with the prior art, the present invention improves the control accuracy and reaction efficiency of the production process by real-time monitoring and adjusting the key environmental parameters in the red yeast rice fermentation process. The application of real-time data makes environmental adjustment more accurate, can quickly adapt to production changes, effectively reduce resource waste and improve production efficiency. The introduction of adaptive control technology not only accurately adjusts environmental parameters, but also refines and adjusts through incremental control strategies, enhances the stability of the entire fermentation process, reduces production fluctuations, and ensures the consistency of product quality. This strategy not only increases production, but also stabilizes the quality of lovastatin, which has a positive impact on reducing production costs and improving market competitiveness.

[0012] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0014] Figure 1 The present invention provides a step diagram of a method for improving the ring-opening rate of red yeast rice milvastatin. DETAILED DESCRIPTION

[0015] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0016] Embodiment 1, a method for improving the ring opening rate of red yeast rice milovastatin, comprising the following steps: Collect real-time data of red yeast rice, monitor pH, temperature and dissolved oxygen levels, obtain real-time monitoring data, use data to calculate and adjust parameter differences, adjust pH, temperature and dissolved oxygen parameters, and obtain parameter adjustment data; Based on the parameter adjustment data, the adjustment range is calculated through adaptive control, each parameter is adjusted to reach the predetermined target value, the adjusted environmental state is obtained, the influence of the adjusted environmental state on the ring-opening reaction of lovastatin is monitored, and the environmental optimization result is obtained; Using the environmental optimization results, an incremental control strategy was introduced to gradually fine-tune the fermentation environmental parameters to obtain fine-tuning parameter data, which were analyzed to determine the impact on the ring-opening reaction of lovastatin and obtain incremental adjustment results. The incremental adjustment results were applied to optimize the fermentation environment, adjust the state of the lovastatin ring-opening reaction, and continuously monitor the correlation between the environmental state and the lovastatin ring-opening reaction rate to generate the optimal ring-opening efficiency results.

[0017] The steps to obtain parameter adjustment data are: Collect real-time data of red yeast rice, monitor pH, temperature and dissolved oxygen levels, and obtain real-time monitoring data; Based on real-time monitoring data, the deviation between each parameter and the target state is calculated using the formula: Calculate the adjustment range and obtain preliminary adjustment data; among them, represents the parameter adjustment range, represents the target parameter value, Represents the current parameter value, represents the optimal parameter value, and is the adjustment factor, Immediate response strength for balancing deviations, Used to adjust the sensitivity and speed of long-term adjustments; Based on the preliminary adjustment data, the pH, temperature and dissolved oxygen parameters are adjusted to obtain parameter adjustment data.

[0018] Specifically, real-time data of red yeast rice is collected to monitor pH, temperature and dissolved oxygen levels. Collecting this data involves the use of pH sensors, temperature sensors and dissolved oxygen sensors. Each sensor is equipped with a data logger to continuously record values. Through these sensors, the pH value, temperature and dissolved oxygen level in the environment can be collected in real time, and a data report is generated every minute. These data are automatically transmitted to the central monitoring system, where they are compiled into a large data set. These real-time monitoring data are used to continuously evaluate the growing environment of red yeast rice and make necessary adjustments to ensure optimal growing conditions and obtain real-time monitoring data.

[0019] formula The benefit of this approach is that it combines the need for immediate response with the sensitivity of long-term adjustments, optimizing the efficiency and effectiveness of the adjustment process by increasing the intensity of adjustments when there are large deviations and making fine adjustments when there are small deviations. Calculation process: Current pH is 6.5, target pH is 7.0, optimal pH is 7.5, adjustment coefficient , , the calculation process is as follows:

[0020] This result indicates that based on the calculated adjustment of 0.0275, a fine-tuning of the pH up by about 0.03 units is required to gradually approach the target pH value.

[0021] Based on the preliminary adjustment data, actual adjustments are made to the pH, temperature and dissolved oxygen parameters. This involves the control system outputting instructions to environmental conditioning equipment, such as heaters adjusting temperature and air pumps adjusting dissolved oxygen levels. Each adjustment is implemented by adjustment data. The control system sends adjustment instructions to related equipment, which adjust operating parameters based on the received data. After the operation is completed, the adjusted environmental status will be re-monitored to confirm the effectiveness of the adjustment, ensuring that each adjustment is closer to the predetermined growth environment standard and obtaining parameter adjustment data.

[0022] The steps to obtain the adjusted environmental state are: Based on the parameter adjustment data, adjust the pH, temperature and dissolved oxygen parameters in the fermentation environment; Continue to monitor the adjusted pH, temperature and dissolved oxygen parameters to ensure that each parameter reaches the predetermined target value; To analyze the response of the ring-opening reaction of lovastatin to adjustments, the formula was used: Calculate the environmental adaptability and obtain the adjusted environmental state; where: Represents the new environment state, Represents the current environment status. Represents the optimal environmental state. represents the target environment state, and is the adjustment factor, Used to adjust the adaptive adjustment to the current state, and Manage the adjustment efforts to achieve the target state.

[0023] Specifically, based on the parameter adjustment data, continuously track and record the changes in pH, temperature and dissolved oxygen levels in the fermentation environment to ensure that the adjustment of each parameter is based on the latest environmental data and feedback. This process ensures the real-time and accuracy of the adjustment measures, and finally implements these adjustments; Continue to collect the adjusted pH, temperature and dissolved oxygen parameters, ensure the accuracy of the data through high-precision sensors, and then analyze the collected data to ensure that the adjustment of each parameter can achieve the pre-set goals, thereby ensuring the effectiveness of the entire environmental adjustment plan.

[0024] formula The benefit is that, by combining logarithmic and linear operations, it can balance the needs of immediate and gradual adjustments, is highly adaptable, and can dynamically adjust the speed and intensity of response according to the difference between the current environment and the optimal environment; Formula calculation process: For example , , , , , plugging these values ​​into the formula, the calculation process is as follows:

[0025] The result shows that the adjusted environmental state is 14.898, which means that the environment is close to the optimal state and the adjustment measures are effective. If it is greater than 15, it means the environment is close to the ideal state, while if it is less than 15, further adjustment is needed.

[0026] The steps to obtain the environmental optimization results are: Based on the adjusted environmental state, an incremental control strategy is introduced to gradually fine-tune the pH, temperature and dissolved oxygen parameters of the fermentation environment to obtain fine-tuning parameter data; Using the fine-tuning parameter data, continue to monitor the state of the ring-opening reaction of lovastatin, analyze the effect of the fine-tuning environment on the reaction rate, and obtain the fine-tuning environment state data; Based on the fine-tuned environmental status data, the environmental adaptability and reaction efficiency are judged using the formula: Calculate the environmental optimization effect and obtain the environmental optimization result; among them, Represents the result of environmental optimization. represents the current response rate, represents the baseline response rate, is the standardized adjustment coefficient, It is the adjustment intensity coefficient used to amplify or reduce the impact of environmental regulation on the reaction rate.

[0027] Specifically, in the process of real-time monitoring of red yeast rice environmental data, accurate monitoring of various parameters provides a basis for subsequent adjustments. The installed sensors collect data on pH, temperature, and dissolved oxygen levels, identify any abnormal fluctuations in the data, and store these real-time data in the database for subsequent adjustment and analysis. Through this process, real-time monitoring data is obtained. This data set contains the key environmental parameters required for the growth of red yeast rice, laying a data foundation for further parameter adjustments.

[0028] Based on real-time monitoring data, the deviation between each parameter and the target state is calculated in detail. In this process, the real-time data of pH, temperature and dissolved oxygen are first normalized, and then the deviation value of each parameter from its ideal state is calculated. These deviation values ​​are statistically analyzed to find the key areas for adjustment. Next, adjustment strategies are set according to these deviation values, and the parameter settings of the environmental control system are gradually modified.

[0029] formula The benefit is that through the exponential function relationship, the sensitivity of environmental adjustment to reaction rate can be nonlinearly amplified, so that slight environmental changes can also have a significant impact on the ring-opening reaction rate of lovastatin. This helps to quickly see the effect of the change when fine-tuning environmental parameters, thereby improving production efficiency and reducing resource waste.

[0030] Calculation process: Current response rate The baseline response rate was 0.85. The standardized adjustment coefficient is 0.80. Set to 0.05 to adjust the intensity coefficient is 1.2. Substituting these values ​​into the formula, we get The results show that by fine-tuning the environmental parameters, the ring-opening reaction rate of lovastatin can be significantly improved, specifically from 0.85 to about 3.26, which indicates that environmental optimization measures greatly improve the production efficiency of lovastatin.

[0031] The steps to obtain fine-tuning parameter data are: Based on the results of environmental optimization, an incremental control strategy was introduced to gradually fine-tune the pH, temperature and dissolved oxygen parameters in the fermentation environment, monitor the effect of each adjustment, and obtain preliminary fine-tuning data; Analyze the adjustment trend of each parameter in the preliminary fine-tuning data and its influence on the ring-opening reaction of lovastatin, determine the adjustment value of each parameter, and obtain detailed fine-tuning parameter data; Based on the detailed fine-tuning parameter data, the effect of each parameter adjustment on the ring-opening reaction rate of lovastatin is determined to obtain the fine-tuning parameter data.

[0032] Specifically, operations are performed based on the results of environmental optimization. The incremental control strategy uses the method of gradually adjusting parameters. First, real-time monitoring data of pH, temperature and dissolved oxygen levels are used. Data points are collected after each adjustment. For each parameter, a data frame is established to record the parameter values ​​at each time point. Each parameter value in the data frame is compared with the target parameter value, and the difference is calculated. The difference is calculated as the absolute value difference between the parameter value and the target value at each time point. These difference data are used to evaluate the effectiveness of the current adjustment strategy. This step is repeated until the adjustment strategy reaches the predetermined goal based on feedback adjustments. This process ensures the effectiveness of each parameter adjustment and optimizes the strategy to obtain preliminary fine-tuning data.

[0033] The adjustment trend analysis of each parameter in the preliminary fine-tuning data adopts the time series analysis method to detect the trend of each parameter value, identify the significant upward or downward trend, and associate these trends with the changes in the ring-opening reaction of lovastatin. By establishing a regression model between the parameter value and the reaction rate, the short-term trend adjustment coefficient and the long-term trend adjustment coefficient are determined by regression analysis. The linear regression model is used to set the objective function for parameter estimation, and the adjustment strategy is further refined. Finally, the adjustment value of each parameter is determined to ensure the optimization of the reaction and obtain detailed fine-tuning parameter data.

[0034] Based on the detailed fine-tuning parameter data, a comprehensive evaluation was conducted on the impact of each adjustment parameter on the terminal reaction rate. The data after each parameter adjustment was input into the model using the stepwise regression method. The specific contribution of each parameter to the open-ring reaction rate of lovastatin was calculated through the model. The analysis results indicated which parameter adjustments were the most critical. The adjustment strategy was further refined based on these data to ensure that all parameter adjustments were effective and approached the target environmental state. Through this method, the final fine-tuning parameter data that met the predetermined goals was finally obtained.

[0035] The steps to obtain the incremental adjustment results are: Based on the fine-tuning parameter data, the fermentation environment is fine-tuned, and each parameter is fine-tuned to obtain fine-tuning data; Using the refined fine-tuning data, the progress of the ring-opening reaction of lovastatin is monitored, the effects of the fine-tuning measures on the reaction efficiency are measured, and the reaction efficiency data is obtained; Based on the reaction efficiency data, the correlation between environmental status and the ring-opening reaction rate of lovastatin was analyzed using the formula: Calculate the comprehensive effect of the incremental adjustment to obtain the incremental adjustment result; where, Representation, adjustment results, represents the reaction efficiency after fine-tuning, represents the initial reaction efficiency, and is to adjust the weight, Used to balance the impact of logarithmic terms, The square root term is adjusted to enhance the increase in efficiency.

[0036] Specifically, based on the fine-tuning parameter data, detailed adjustments are made to the fermentation environment, including specific operations on pH, temperature and dissolved oxygen levels. These operations require precise control to ensure that each parameter reaches the predetermined target. This process involves continuous monitoring and real-time updating of data for timely adjustments. The fine-tuning of the fermentation environment is implemented by using various sensors and control systems, among which temperature sensors and pH electrodes continuously provide data, and the control system automatically adjusts the heating elements and the injection amount of alkali or acid to fine-tune the environment. The adjustment of the dissolved oxygen level is achieved by regulating the speed of the oxygen pump. Each parameter adjustment is recorded and analyzed for its effect on the ring-opening reaction of lovastatin to obtain detailed fine-tuning data.

[0037] Using the refined fine-tuning data, continue to monitor the progress of the ring-opening reaction of lovastatin and evaluate the effectiveness of the fine-tuning measures. The data involved include but are not limited to the concentration of chemical components in the reaction vessel, reaction rate and product quality control. The data on reaction efficiency is acquired through high-performance liquid chromatography and mass spectrometry. These devices can accurately measure the concentration of each reactant and product to evaluate the integrity and efficiency of the reaction. Statistical analysis of the data is performed to determine the effect of fine-tuning each parameter, especially how it affects the ring-opening efficiency of lovastatin, and obtain reaction efficiency data.

[0038] formula The benefit of is that it combines logarithmic and square root functions. This allows the formula to adapt to varying degrees of response rate change and provide a smooth adjustment process, with the logarithmic part handling small changes and the square root part amplifying the impact of larger changes.

[0039] Calculation process: Setting , , , , first calculate the logarithmic part:

[0040] Then calculate the square root part:

[0041] Substituting these values ​​into the formula, we get: ; The results show that through detailed fine-tuning and parameter optimization, the final environmental state adjustment leads to a significant increase in the ring-opening reaction rate of lovastatin, and the incremental adjustment result is 4.69%, which represents the effective improvement of the reaction rate by environmental adjustment, and further deduces the positive impact of step results on production efficiency.

[0042] The steps to obtain the optimal open-loop efficiency result are: Based on the incremental adjustment results, the fermentation environmental parameters are optimized to obtain optimized environmental parameter data; Use the optimized environmental parameter data to monitor and record the continuous state of the ring-opening reaction of lovastatin, determine the long-term impact of environmental adjustment on reaction efficiency, and obtain continuous monitoring data; Based on continuous monitoring data, the formula is applied: Calculate the open-loop efficiency and obtain the optimized open-loop efficiency result; where: Represents the optimized open-loop efficiency result, represents the optimized response rate, represents the baseline response rate, and is the adjustment factor, Used to adjust the linearization of logarithmic effects, The square effect of the improvement in enhanced response rate.

[0043] Specifically, in the actual adjustment of the fermentation environmental parameters, a step-by-step monitoring and adjustment strategy was adopted. First, the pH, temperature and dissolved oxygen levels were adjusted based on real-time monitoring data. By comparing the difference between the current value of each parameter and the target value, an adjustment strategy was used to gradually change the environmental conditions. This method ensured that each environmental parameter could gradually reach the predetermined target, thereby creating the best conditions for the ring-opening reaction of lovastatin. Through this process, preliminary adjusted environmental data were obtained.

[0044] In the process of analyzing the effect of the adjusted environment on the ring-opening reaction of lovastatin, changes in environmental parameters such as pH, temperature, and dissolved oxygen levels were continuously tracked, and how these changes affected the chemical reaction efficiency of lovastatin was evaluated. This approach not only ensured the precise adjustment of environmental parameters, but also allowed scientists to understand the impact of individual parameter adjustments on the quality of the final product. Through this analysis, the ultimate adjusted environmental data was obtained.

Claims

1. A method for improving the ring opening rate of red yeast rice milovastatin, characterized in that: The following steps are involved: Collect real-time data of red yeast rice, monitor pH, temperature and dissolved oxygen levels, obtain real-time monitoring data, use data to calculate and adjust parameter differences, adjust pH, temperature and dissolved oxygen parameters, and obtain parameter adjustment data; Based on the parameter adjustment data, the adjustment amplitude is calculated by adaptive control, each parameter is adjusted to reach a predetermined target value, an adjusted environmental state is obtained, the influence of the adjusted environmental state on the ring-opening reaction of lovastatin is monitored, and an environmental optimization result is obtained; Using the environmental optimization result, an incremental control strategy is introduced to gradually fine-tune the fermentation environmental parameters to obtain fine-tuning parameter data, the fine-tuning parameter data is analyzed to determine the impact on the ring-opening reaction of lovastatin, and an incremental adjustment result is obtained; The incremental adjustment result is applied to optimize the fermentation environment, adjust the state of the lovastatin ring-opening reaction, and continuously monitor the correlation between the environmental state and the lovastatin ring-opening reaction rate to generate the optimized ring-opening efficiency result.

2. The method for improving the ring opening rate of red yeast rice milvastatin according to claim 1, characterized in that: The steps for obtaining the parameter adjustment data are as follows: Collect real-time data of red yeast rice, monitor pH, temperature and dissolved oxygen levels, and obtain real-time monitoring data; Based on the real-time monitoring data, the deviation between each parameter and the target state is calculated using the formula: Calculate the adjustment range and obtain preliminary adjustment data; among them, Represents the parameter adjustment range, represents the target parameter value, Represents the current parameter value, represents the optimal parameter value, and is the adjustment factor, Immediate response strength for balancing deviations, Used to adjust the sensitivity and speed of long-term adjustments; Based on the preliminary adjustment data, the pH, temperature and dissolved oxygen parameters are adjusted to obtain parameter adjustment data.

3. The method for improving the ring opening rate of red yeast rice milovastatin according to claim 1, characterized in that: The steps for obtaining the adjusted environmental state are: Based on the parameter adjustment data, the pH, temperature and dissolved oxygen parameters in the fermentation environment are adjusted; Continue to monitor the adjusted pH, temperature and dissolved oxygen parameters to ensure that each parameter reaches the predetermined target value; To analyze the response of the ring-opening reaction of lovastatin to adjustments, the formula was used: Calculate the environmental adaptability and obtain the adjusted environmental state; where: Represents the new environment state, Represents the current environment status. Represents the optimal environmental state. represents the target environment state, and is the adjustment factor, Used to adjust the adaptive adjustment to the current state, and Manage the adjustment efforts to achieve the target state.

4. The method for improving the ring opening rate of red yeast rice milovastatin according to claim 1, characterized in that: The steps for obtaining the environmental optimization result are: Based on the adjusted environmental state, an incremental control strategy is introduced to gradually fine-tune the pH, temperature and dissolved oxygen parameters of the fermentation environment to obtain fine-tuning parameter data; Using the fine-tuning parameter data, continuing to monitor the state of the lovastatin ring-opening reaction, analyzing the effect of the fine-tuning environment on the reaction rate, and obtaining the fine-tuning environment state data; Based on the fine-tuned environmental state data, the environmental adaptability and reaction efficiency are judged using the formula: Calculate the environmental optimization effect and obtain the environmental optimization result; among them, Represents the result of environmental optimization. represents the current response rate, represents the baseline response rate, is the standardized adjustment coefficient, It is the adjustment intensity coefficient used to amplify or reduce the impact of environmental regulation on the reaction rate.

5. The method for improving the ring opening rate of red yeast rice milovastatin according to claim 1, characterized in that: The steps for obtaining the fine-tuning parameter data are as follows: Based on the environmental optimization results, an incremental control strategy is introduced to gradually fine-tune the pH, temperature and dissolved oxygen parameters in the fermentation environment, monitor the effect of each adjustment, and obtain preliminary fine-tuning data; Analyzing the adjustment trend of each parameter in the preliminary fine-tuning data and its influence on the ring-opening reaction of lovastatin, determining the adjustment value of each parameter, and obtaining detailed fine-tuning parameter data; Based on the detailed fine-tuning parameter data, the influence of each parameter adjustment on the ring-opening reaction rate of lovastatin is determined to obtain the fine-tuning parameter data.

6. The method for improving the ring opening rate of red yeast rice milovastatin according to claim 1, characterized in that: The steps for obtaining the incremental adjustment result are: Based on the fine-tuning parameter data, fine-tune the fermentation environment, and fine-tune each parameter to obtain fine-tuning data; Using the refined fine-tuning data, monitoring the progress of the ring-opening reaction of lovastatin, the effect of the fine-tuning measures on the reaction efficiency, and obtaining reaction efficiency data; Based on the reaction efficiency data, the correlation between the environmental state and the ring-opening reaction rate of lovastatin was analyzed using the formula: Calculate the comprehensive effect of the incremental adjustment to obtain the incremental adjustment result; where, Representation, adjustment results, represents the reaction efficiency after fine-tuning, represents the initial reaction efficiency, and is to adjust the weight, Used to balance the impact of logarithmic terms, The square root term is adjusted to enhance the increase in efficiency.

7. The method for improving the ring opening rate of red yeast rice milvastatin according to claim 1, characterized in that: The steps for obtaining the optimized open-loop efficiency result are: Based on the incremental adjustment result, optimizing the fermentation environmental parameters to obtain optimized environmental parameter data; Using the optimized environmental parameter data, monitoring and recording the continuous state of the lovastatin ring-opening reaction, determining the long-term effect of environmental adjustment on the reaction efficiency, and obtaining continuous monitoring data; Based on the continuous monitoring data, the formula is applied: Calculate the open-loop efficiency and obtain the optimized open-loop efficiency result; where: Represents the optimized open-loop efficiency result, represents the optimized response rate, represents the baseline response rate, and is the adjustment factor, Used to adjust the linearization of logarithmic effects, The square effect of the improvement in enhanced response rate.

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