Preparation method of corn superoxide dismutase

Abstract

The invention discloses a preparation method of corn superoxide dismutase, and relates to the technical field of organic matter separation and extraction. S2, enzymolysis: S21, adding the corn steep liquor into a drum screen, and immersing the lower half part of a drum into the enzymolysis mixed liquid; starting the drum screen to enable the corn material to roll in the drum and to be immersed in the enzymolysis mixed liquid; s22, regularly extracting the enzymolysis mixed solution for centrifugal separation, and removing starch particles and other impurities; s23, pouring the centrifuged clarified liquid into the rotary screen again, and circularly performing enzymolysis; s24, uniformly stirring the enzymolysis corn steep liquor, filtering, and collecting filtrate; s3, extracting and post-processing; according to the technical scheme, the problem of viscosity caused by high starch content of corn serving as a raw material is solved, the enzymolysis efficiency is remarkably improved, the activity of SOD is effectively protected, the product quality is stable and reliable, meanwhile, large-scale production is easy to realize, and the production cost is reduced.

Description

Technical Field

[0001] The invention relates to the technical field of organic matter separation and extraction, and in particular to a method for preparing corn superoxide dismutase. Background Art

[0002] Superoxide dismutase (SOD) is an antioxidant metalloenzyme present in organisms. It can catalyze the dismutation of superoxide anion radicals to produce oxygen and hydrogen peroxide. It plays a vital role in the body's oxidation and antioxidant balance and is closely related to the occurrence and development of many diseases.

[0003] Microorganisms such as yeast, bacteria, fungi, bioengineering bacteria, and plant rhizomes, leaves, seeds or other fruits are all sources of SOD. Currently, extracting SOD from plants is a common method, mostly from garlic, corn, tomato, mulberry leaves, sea buckthorn, cactus and other plants.

[0004] For example, the Chinese patent application number CN202011634220.1 provides an industrial production method for extracting superoxide dismutase from Shenzhou grass. This invention provides an industrial production method for extracting superoxide dismutase from Shenzhou grass, which belongs to the technical field of separation and extraction of organic matter. The method includes: S1. After the Shenzhou grass raw material is evenly mixed with phosphate buffer, porridge enzyme and surfactant are added for enzymatic hydrolysis; S2. After enzymatic hydrolysis, ultrasonic extraction is performed and solid-liquid separation is performed to obtain a liquid; S3. After adding any one or more of an activator, a protective agent and a stabilizer to the liquid, the Shenzhou grass superoxide dismutase is filtered and collected. The invention aims to be suitable for industrial production. By optimizing the various process steps for extracting superoxide dismutase from Shenzhou grass, an industrial production method for extracting superoxide dismutase from Shenzhou grass is finally obtained, which has good practical application value.

[0005] Compared with Shenzhou grass, corn raw materials are easier to obtain. There are many existing methods for preparing superoxide dismutase complex enzymes with corn, but there are problems of using chemical disinfectants such as bleaching powder and sodium hypochlorite in the preparation process. Since chemical disinfectants are easy to remain and pollute the environment during the production process, the quality of the prepared superoxide dismutase complex enzyme is also affected to a certain extent. At the same time, in the process of drying products, the existing method adopts freeze drying or spraying, the former has a higher cost, and the latter has a larger enzyme activity loss, and both are not suitable for the needs of large-scale production. The existing method also has technical problems such as low germination rate, low enzyme yield, and small production scale. Since corn is germinated in the box of the germination device, there is a problem of small ventilation volume, and the corn growth environment is narrow, which is easy to produce bacterial film on the corn surface, and corruption occurs, resulting in a reduction in germination rate, affecting the quality of the obtained superoxide dismutase, and easily residues, not easy to clean, and increasing the labor intensity of workers.

[0006] In addition, the high starch content in corn causes the liquid to become viscous during the enzymatic hydrolysis process, hindering the contact between the enzyme and the cell wall, reducing the enzymatic hydrolysis efficiency, and affecting the activity and extraction amount of SOD. Summary of the invention

[0007] The embodiment of the present application provides a method for preparing corn superoxide dismutase, which solves the viscosity problem caused by high starch content when corn is used as a raw material to produce SOD, significantly improves the enzymatic hydrolysis efficiency, effectively protects the activity of SOD, and has stable and reliable product quality. At the same time, the technical solution is easy to realize large-scale production, reducing production costs.

[0008] The present invention provides a method for preparing corn superoxide dismutase, which specifically comprises the following steps:

[0009] S1. Pretreatment: The germinated corn was crushed into 80-120 mesh, pH = 7.8, 0.05 mol / L phosphate buffer was added to the crushed germinated corn in a ratio of 1:2-4, mixed and evenly ground into corn pulp, and ultrasonic cell disruption was performed;

[0010] S2. Enzymatic hydrolysis:

[0011] S21. The corn slurry after ultrasonic crushing is added to the drum screen, and the lower half of the drum is immersed in the enzymatic mixture; the drum screen is started, and the corn material is tumbled in the drum while being immersed in the enzymatic mixture;

[0012] S22. Every 10-15 minutes, extract the enzymatic mixture and centrifuge it to remove suspended starch particles and other impurities;

[0013] S23. The clarified liquid after centrifugation is poured back into the drum screen and the enzymatic hydrolysis is repeated for 2-3 cycles;

[0014] S24. The enzymatically hydrolyzed corn syrup is stirred and then filtered, the filtrate is collected, and 0.5% to 1.5% of the weight of the filtrate is added to the filtrate;

[0015] S3. Extraction and post-processing:

[0016] S31. The filtrate is ultrasonically obtained to obtain a liquid, and any one or more of an activator, a protective agent and a stabilizer are added to the liquid;

[0017] S32. Concentration and drying: placing the filtrate into a low-temperature vacuum concentrator and evaporating it at 22-25°C for 8-15 hours to obtain a corn superoxide dismutase multi-enzyme liquid; mixing the corn superoxide dismutase multi-enzyme liquid and 1% of silicon dioxide by total weight, and then placing it into a low-temperature vacuum drying device, freeze-drying, and obtaining a corn superoxide dismutase multi-enzyme powder.

[0018] Furthermore, the axis of the drum screen is horizontally arranged, the diameter of the drum screen hole is smaller than the diameter of the crushed corn particles, one end is open for feeding, and the other end is provided with a discharge port.

[0019] Furthermore, the amount of corn slurry added in S21 is 40%-60% of the volume of the drum screen; the enzymatic hydrolysis mixture includes a complex enzyme and a surfactant, the complex enzyme is a mixture of pectinase, cellulase, hemicellulase and protease, the addition amount of the complex enzyme is 0.5-2% of the mass of the corn slurry, and the surfactant is sodium dodecyl sulfate, the addition amount is 0.5-0.8% of the mass of the rice slurry; the enzymatic hydrolysis temperature is 45-55°C, the pH value is 7.0-8.0, and the enzymatic hydrolysis time is 40-80 minutes.

[0020] Furthermore, multiple sets of rotating blades are installed in the drum screen; the object dynamic model is used to simulate the flow of objects in the mixing process to ensure comprehensive and uniform mixing; specifically, multiple blades are installed in the drum screen, and the spiral blade shape is initially selected. The blade width accounts for 10%-20% of the diameter of the drum screen, and the blade length is slightly less than half of the length of the drum screen. The blades are arranged in a staggered manner, and the blade angle is 30-60°.

[0021] Furthermore, a transmittance sensor is installed on the storage tank of the enzymatic mixed solution to establish a mapping relationship model between transmittance and starch concentration; specifically:

[0022] The mapping relationship model between the relevant transmittance and starch concentration is quantified by historical data and experimental calibration, and the analysis and fitting of the relevant quantitative data are determined by the actual situation;

[0023] The camera below the drum screen takes pictures of the material status in the drum screen and performs feature extraction and recognition, and calculates the immersion ratio of starch particles in the mixed liquid to estimate the enzymatic hydrolysis process;

[0024] Perform grayscale histogram analysis on the collected original image;

[0025] Then, filtering and denoising preprocessing operations are performed to extract starch granule features;

[0026] Morphological operations were applied to further clean up the image, remove noise, connect adjacent starch granule regions, and extract the contour edges of starch granules;

[0027] Through the connected region labeling algorithm, all starch granule regions in the image are identified, and the area and shape characteristics of each region are calculated;

[0028] Classify the extracted features to distinguish starch granules from other impurities;

[0029] The number of contact pixels between the starch granule area and the mixed liquid background area was calculated to approximate the immersion ratio;

[0030] A threshold is set according to the total starch amount data obtained, and step S221 is performed to start the centrifugal separation device when the starch concentration exceeds the set threshold;

[0031] After step S221 is completed, step S231 is further performed: the above operations are repeatedly performed until the extraction and separation of superoxide dismutase is completed.

[0032] Furthermore, after starting the centrifugal separation device in step S221, solid precipitate and supernatant are separated; the solid precipitate is mainly undissolved starch granules.

[0033] Furthermore, the solid precipitate obtained after centrifugation was collected, dried, weighed using a precision balance, and the mass of the precipitate was recorded, specifically:

[0034] S2211. Calculate the initial amount of corn flour and starch content, and calculate the theoretical amount of starch that should be obtained;

[0035] S2212. The completion of the enzymatic hydrolysis process is calculated by comparing the actual amount of starch in the precipitate with the theoretical amount of starch, and the percentage completion of the enzymatic hydrolysis process is obtained;

[0036] Among them, the degree of completion of the enzymatic hydrolysis process Ma is the actual amount of starch measured by weight after drying;

[0037] S2213. Analyze the above steps and evaluate the effects of enzymatic hydrolysis conditions such as temperature, pH value, and enzyme dosage on the degree of process completion.

[0038] Furthermore, after recording and analyzing the quality of the precipitate, sensors and data recording systems are also set up to obtain a continuous and dynamic data set, including the changes in various parameters during the enzymatic hydrolysis process, and to monitor and record the enzymatic hydrolysis progress and overall time data of the same batch of materials in real time.

[0039] Furthermore, before enzymatic hydrolysis of each batch of materials, data of the first three batches are collected, the average value is calculated, and a baseline standard for the enzymatic hydrolysis operation is established; wherein the baseline value formula for the enzymatic hydrolysis operation is:

[0040]

[0041] n represents the number of data points for which the average value is to be calculated. In this implementation scenario, it refers to the number of data points in the first three batches. batch_i represents the data value of the i-th batch, Represents the sum of all data values ​​from the first batch to the nth batch; the formula means that the average value of these data is calculated by adding the data values ​​of the first three batches and dividing by the number of batches, and the average value is used as the baseline value.

[0042] Furthermore, according to the real-time progress of starch filtering out of the drum screen, the drum screen speed and the time interval of mixing the mixed liquid are dynamically adjusted to achieve the best enzymatic hydrolysis effect;

[0043] Combined with the single filtration amount and the overall cumulative amount of starch, the distribution and concentration of starch in the mixed liquid are analyzed, and the drainage and flushing frequency of the centrifuge is automatically adjusted;

[0044] When stirring stops, the camera captures the image of the upper part of the mixed liquid in the drum screen and converts it into a grayscale image for analyzing the distribution and concentration of starch particles;

[0045] By using image processing algorithms, the grayscale value changes in different areas of the grayscale image are analyzed to determine the progress and quality of starch filtration and obtain the real-time progress and estimated amount of starch filtration.

[0046] Comprehensively analyze the data such as drum screen speed, stirring time interval, centrifugation frequency, image recognition results, etc. to evaluate the effectiveness of the current enzymatic hydrolysis parameters;

[0047] Adjust the enzymatic hydrolysis control parameters based on the evaluation results.

[0048] One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:

[0049] First, the enzymatic hydrolysis process is set on a drum screen, and the lower half of the drum is immersed in the enzymatic hydrolysis mixture, so that the material is always immersed in the enzymatic hydrolysis mixture. At the same time, the diameter of the drum screen hole is smaller than the corn crushing particle size, and the starch particles can pass through the screen hole, which is convenient for starch filtration. Through the setting of the drum screen, the starch particles are effectively filtered out, and at the same time, it is ensured that the enzymatic hydrolysis mixture can fully contact and enzymatically hydrolyze the corn cell wall. Through the dynamic rolling of the drum screen and the circulation and renewal of the enzymatic hydrolysis mixture, the enzymatic hydrolysis efficiency is improved, and the interference of starch on the enzymatic hydrolysis process is reduced. The viscosity problem caused by the high starch content when corn is used as a raw material to produce SOD is effectively solved, the enzymatic hydrolysis efficiency is significantly improved, the activity of SOD is effectively protected, and the product quality is stable and reliable. At the same time, the technical solution is easy to realize large-scale production, reduce production costs, and improve economic benefits.

[0050] Second, by setting up a stirring system, the starch particles are ensured to be evenly dispersed in the enzymatic hydrolysis mixture, the viscosity problem caused by excessive local concentration is avoided, and the contact efficiency between the enzyme and the corn cells is improved; the transmittance data of the real-time transmittance monitoring system is used to timely reflect the release and dispersion of starch in the mixture, providing a basis for adjusting the stirring parameters; through image analysis and starch immersion calculation, non-invasive and real-time enzymatic hydrolysis process monitoring is achieved, providing accurate data support for process adjustment; through the total starch content control and centrifugal separation process of the mixed solution, the excess starch in the mixed solution is effectively removed, the viscosity is reduced, and the starch resources are recovered at the same time, improving the economy of the overall process;

[0051] Third, by further optimizing the starch amount analysis step after centrifugal separation, the quantitative evaluation of the degree of completion of the enzymatic hydrolysis process was achieved. By comparing the difference between the actual starch amount and the theoretical starch amount, the efficiency of the enzymatic hydrolysis reaction can be intuitively reflected, and key data support can be provided for process optimization, thereby improving the controllability and predictability of the production process, thereby improving product quality and production efficiency; through the optimization of the stirring system, real-time transmittance monitoring, image analysis and starch immersion amount calculation, mixed liquid starch total amount control and centrifugal separation measures, the enzymatic hydrolysis efficiency in the SOD extraction process of corn raw materials was significantly improved; ensure full contact between the enzyme and corn cells, shorten the enzymatic hydrolysis time, and increase the SOD yield; through real-time monitoring and data analysis, achieve precise control of the enzymatic hydrolysis process and reduce human intervention errors; effectively recycle starch resources, reduce waste generation, and improve the economy and environmental protection of the process;

[0052] Fourth, by introducing advanced technical means such as continuous data monitoring, baseline establishment, active control, and image recognition, intelligent management and optimization of the enzymatic hydrolysis process are achieved; through real-time data collection and analysis, combined with image recognition technology, the starch filtration progress can be accurately judged, and the enzymatic hydrolysis control parameters can be dynamically adjusted accordingly; this closed-loop feedback mechanism not only improves the enzymatic hydrolysis efficiency, but also ensures the stability and controllability of the production process; it can significantly shorten the enzymatic hydrolysis time, improve product activity, and at the same time reduce production costs and energy consumption. BRIEF DESCRIPTION OF THE DRAWINGS

[0053] Figure 1 It is a schematic diagram of a drum screen according to an embodiment of the present invention;

[0054] Figure 2 The material status in the drum screen is photographed and features are extracted and identified. The immersion ratio of starch particles in the mixed liquid is calculated to deduce the enzymatic hydrolysis process flow chart. DETAILED DESCRIPTION

[0055] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by technicians in the technical field to which the present invention belongs; the terms used in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention; the term "and / or" used herein includes any and all combinations of one or more related listed items.

[0056] Embodiment 1: A method for preparing corn superoxide dismutase, comprising the following steps:

[0057] S1. Preprocessing

[0058] S11 cracked yeast fermentation broth: inoculate the yeast into the culture medium, ferment for 48-72 hours at 28-32°C and pH 4.5-5.5, then add snail enzyme for 1-2 hours to obtain cracked yeast fermentation broth;

[0059] The yeast inoculation amount is 5%-10% of the volume of the culture medium, and the snail enzyme addition ratio is 50-100 mg per liter of fermentation liquid;

[0060] S12: prepare an appropriate amount of raw corn, remove impurities from the corn, and set aside;

[0061] S13 Germination: Place the corn in a fully automatic seed cleaning, soaking and germination device, clean and soak for 8-12 hours, and germinate at 25-30°C for 48-60 hours until the sprouts are 3-5 mm long;

[0062] The soaking liquid contains cracked yeast fermentation liquid, the addition amount of the cracked yeast fermentation liquid is 1%-5% of the weight of the corn, and also contains 5-10 mg / L of iron, 0.1-0.5 mg / L of selenium, 1-2 mg / L of copper, 5-10 mg / L of manganese, and 5-10 mg / L of zinc;

[0063] S14 crushing: crushing the germinated corn into 80-120 meshes, adding pH=7.8, 0.05 mol / L phosphate (PBS) buffer solution to the crushed germinated corn at a ratio of 1:2-4, mixing and grinding to form corn pulp, and ultrasonic cell disruption;

[0064] S2. Enzymatic hydrolysis

[0065] like Figure 1 As shown, a drum screen is set and installed, the drum axis is set horizontally, one end is open for feeding, and the other end is provided with a discharge port;

[0066] Among them, the diameter of the drum screen hole is smaller than the corn crushing particle size;

[0067] S21. The corn slurry after ultrasonic crushing in S14 is added to the drum screen, and the lower half of the drum is immersed in the enzymatic mixture; the drum screen is started, and the corn material is tumbled in the drum while being immersed in the enzymatic mixture;

[0068] The amount of corn slurry added is 40%-60% of the volume of the drum screen; the enzymatic hydrolysis mixture comprises a composite enzyme and a surfactant, the composite enzyme is a mixture of pectinase, cellulase, hemicellulase and protease, the amount of the composite enzyme added is 0.5-2% of the mass of the corn slurry, and the surfactant is sodium dodecyl sulfate, the amount of which added is 0.5-0.8% of the mass of the rice slurry; the enzymatic hydrolysis temperature is 45-55° C., the pH value is 7.0-8.0, and the enzymatic hydrolysis time is 40-80 minutes;

[0069] S22. Every 10-15 minutes, extract the enzymatic mixture and centrifuge it to remove suspended starch particles and other impurities;

[0070] S23. The clarified liquid after centrifugation is poured back into the drum screen and the enzymatic hydrolysis is repeated for 2-3 cycles;

[0071] S24. The enzymatically hydrolyzed corn syrup is stirred and then filtered, the filtrate is collected, and 0.5% to 1.5% of the weight of the filtrate is added to the filtrate;

[0072] S3. Extraction and post-processing

[0073] S31. The filtrate is ultrasonically obtained to obtain a liquid, and any one or more of an activator, a protective agent and a stabilizer are added to the liquid;

[0074] The ultrasonic frequency is 20-30kHz, the power is 10-20W, the ultrasonic working time is 15-20s and the interval is 5-10s, the total ultrasonic time is 10-20min, and the extraction process temperature is 30-60°C; the activator is manganese chloride and ferrous chloride; the protective agent is a protein disulfide bond protective agent; the stabilizer is trehalose or burdock oligosaccharide;

[0075] S32 concentration, drying: the filtrate was placed in a low-temperature vacuum concentrator, evaporated at 22-25 ℃ for 8-15 hours to obtain a corn superoxide dismutase multi-enzyme liquid;

[0076] The corn superoxide dismutase multi-enzyme liquid and silicon dioxide accounting for 1% of the total weight are uniformly mixed and then placed in a low-temperature vacuum drying device for freeze drying to obtain the corn superoxide dismutase multi-enzyme powder.

[0077] The technical solutions in the above embodiments of the present application have at least the following technical effects or advantages:

[0078] The starch content in corn is about 48-73%. When corn is used as raw material to produce SOD, especially in industrial production, starch granules are released during the enzymatic hydrolysis process, which causes the liquid to become viscous, hindering the contact between the enzyme and the cell wall, causing uneven enzyme distribution, reducing enzymatic hydrolysis efficiency, increasing impurity release, and affecting the activity and extraction amount of SOD.

[0079] The enzymatic hydrolysis process is arranged on a drum screen, and the lower half of the drum is immersed in the enzymatic hydrolysis mixture, so that the material is always immersed in the enzymatic hydrolysis mixture. At the same time, the diameter of the drum screen hole is smaller than the corn crushing particle size, and the starch particles can pass through the screen hole, which is convenient for starch filtration. The setting of the drum screen can realize effective filtration of starch particles, and at the same time ensure that the enzymatic hydrolysis mixture can fully contact and enzymatically hydrolyze the corn cell wall. The dynamic rolling of the drum screen and the circulation and renewal of the enzymatic hydrolysis mixture can improve the enzymatic hydrolysis efficiency, reduce the interference of starch on the enzymatic hydrolysis process, effectively solve the viscosity problem caused by high starch content when corn is used as a raw material to produce SOD, significantly improve the enzymatic hydrolysis efficiency, effectively protect the activity of SOD, and ensure stable and reliable product quality. At the same time, the technical solution is easy to realize large-scale production, reduce production costs, and improve economic benefits.

[0080] The preparation of superoxide dismutase by the scheme of this embodiment can effectively extract SOD from corn and improve the extraction efficiency. The adjustment of the process parameters in this embodiment can protect the activity of SOD, reduce the loss during the extraction process, and improve the purity and activity of the product; by optimizing the pretreatment, enzymatic hydrolysis, extraction and post-treatment steps, the material consumption and energy consumption in the production process are reduced, thereby reducing the production cost; by optimizing the extraction and purification process, the high purity and high activity of the SOD finished product are ensured, meeting the demand for SOD products in the fields of food, cosmetics, health products and agriculture.

[0081] Example 2: The above-mentioned Example 1 improves the enzymatic hydrolysis efficiency and reduces the interference of starch on the enzymatic hydrolysis process through the dynamic tumbling of the drum screen and the circulation renewal of the enzymatic hydrolysis mixture, effectively solving the viscosity problem caused by the high starch content when corn is used as a raw material to produce SOD. The enzymatic hydrolysis efficiency is significantly improved and the activity of SOD is effectively protected. In order to further improve the enzymatic hydrolysis efficiency and the activity of SOD, further improvements are made on the basis of step S2 of Example 1.

[0082] S211. A plurality of sets of rotating blades are also installed in the drum screen; and an object dynamic model is used to simulate the flow of objects during the mixing process to ensure comprehensive and uniform mixing.

[0083] Specifically, multiple blades are installed in the drum screen. The spiral blade shape is selected for the first time. The blade width accounts for 10%-20% of the drum screen diameter. The blade length is slightly less than half of the drum screen length to ensure that the main mixing area is covered without adding too much resistance. The blades are arranged in a staggered manner with a blade angle of 30-60°. Using CFD computational fluid dynamics, the geometric dimensions of the drum screen, the design parameters of the blades, the physical properties of the material such as density and viscosity, and the stirring speed and other conditions are input to simulate the flow trajectory and mixing effect of the material in the drum screen. According to the simulation results, the number, shape, arrangement and rotation speed of the blades are adjusted to achieve a comprehensive and uniform mixing effect. The optimized parameters are used for the design of the drum screen in actual application production.

[0084] A transmittance sensor is installed on the storage tank of the enzymatic hydrolysis mixture, and a mapping relationship model between transmittance and starch concentration is established.

[0085] Specifically:

[0086] The mapping relationship model between the relevant transmittance and starch concentration is quantified by historical data and experimental calibration. The analysis and fitting of the relevant quantitative data depends on the actual situation and will not be elaborated in this article.

[0087] For example, through experiments, mixed solution samples with different starch concentrations were collected and their transmittance values ​​were measured. Through data analysis and fitting, a quadratic polynomial regression model was obtained, which can be expressed as:

[0088] C=αT 2 +βT+γ

[0089] Among them, C is the starch concentration after mapping in g / L, T is the transmittance value in percentage, and α, β and γ are coefficients obtained by data fitting. In this context, α = 0.001, β = 0.15, γ = 5.0, and the mapping relationship model can be quantified as:

[0090] C=0.001T 2+0.15T+5.0

[0091] Suppose we construct a hypothetical data set, where 80% transmittance corresponds to 12.5 g / L starch concentration, which contains starch concentration values ​​corresponding to different transmittance values. These data are obtained through experimental measurements, and it is assumed that they have no error or very small error. At the same time, the measured transmittance is 80%, which is substituted into the model to calculate the starch concentration, and the mapped starch concentration C = 12.6 g / L is obtained. The starch concentration corresponding to 12.6 g / L is close to the actual measured value of 12.5 g / L, indicating that the model fits well.

[0092] S212, the camera below the drum screen captures the state of the material in the drum screen and performs feature extraction and recognition, calculates the immersion ratio of starch particles in the mixed solution and estimates the enzymatic hydrolysis process.

[0093] During the mixing process, when the stirring stops, a 16320×9200 high-resolution camera is used to capture an image of the upper portion of the mixed liquid in the drum screen. Within 10 seconds after the stirring stops, a grayscale image of the upper portion of the mixed liquid in the drum screen is captured.

[0094] like Figure 2 As shown, photographing the material state in the drum screen and performing feature extraction and identification, calculating the immersion ratio of starch particles in the mixed solution and estimating the enzymatic hydrolysis process include the following steps:

[0095] In some embodiments, the material state in the drum screen is photographed and feature extraction and identification are performed, and the immersion ratio of starch particles in the mixed solution is calculated to estimate the enzymatic hydrolysis process, which specifically includes:

[0096] Perform grayscale histogram analysis on the collected original image.

[0097] Specifically, the collected original color image is converted into a grayscale image. A histogram analysis is performed on the grayscale image, that is, the number of pixels of different grayscale levels in the image is counted. A histogram is a two-dimensional chart in which the horizontal axis represents the grayscale level and the vertical axis represents the number of pixels at that grayscale level. Due to the presence of starch granules, the grayscale histogram will have a significant peak near 255 in the higher grayscale value area. Because starch granules are usually brighter than the background, they appear as higher grayscale values ​​in grayscale images. Observe the histogram and look for a clear peak in the higher grayscale value area between 180-255. This peak should be significantly higher than the number of pixels at other grayscale levels and have a relatively narrow width, indicating that the pixels corresponding to these grayscale values ​​are more likely to be starch granules. According to the grayscale histogram, the valley value between the starch granule peak and the background peak in the histogram is selected as the threshold to distinguish the starch-enriched area from the mixed liquid background (assuming that the histogram shows a significant starch granule peak near the grayscale value of 200, and the background peak is mainly concentrated below 100. Then select a threshold of 150 to distinguish the starch-enriched area from the background).

[0098] Then, filtering and denoising preprocessing operations are performed to extract the characteristics of starch granules.

[0099] Specifically, color segmentation is first performed for image feature extraction. Since there is a difference in color between starch granules and the mixed liquid background, the image is segmented into K clusters based on the color feature RGB value of the pixel point, and each cluster is assigned a unique label. After the assignment is completed, each pixel point will have a cluster label, indicating which cluster it belongs to. The color features of each cluster are analyzed to find the cluster that is closest to the color features of the starch granules, thereby separating the starch granules from the background.

[0100] Morphological operations were applied to further clean up the image, remove noise and connect adjacent starch granule regions and extract the contour edges of starch granules.

[0101] Among them, applied morphology includes erosion, dilation, opening and closing operations. The erosion operation can remove some small noise points on the edge of starch granules and make their edges shrink inward; the dilation operation can fill some small holes inside the starch granules and make their edges expand outward; the opening operation can further clean up the image while maintaining the overall shape of the starch granules; the closing operation is mainly used to connect adjacent starch granule regions to form a complete connected region.

[0102] Specifically, a circle is selected as the basic structural element, and its size should be adjusted according to the actual size of the starch granules. The structural element is slid on the image. For each position, if all pixels within the structural element belong to the starch granule cluster, the pixel at the center of the structural element is retained; otherwise, the pixel is set to the background. Using the same structural element as the erosion operation, the structural element is slid on the image. For each position, if any pixel within the structural element belongs to the starch granule cluster, the pixel at the center of the structural element is set to the starch granule. The erosion operation will "reduce" the range of the target area and remove the small noise points on the edge. The opening operation is a process of first erosion and then expansion. First, the image is eroded to remove small noise points and burrs; then the result of the erosion is expanded to restore the eroded part, but the effect of removing noise and burrs is maintained. The closing operation is a process of first expansion and then erosion. The image is expanded to fill the small holes inside the starch granules; then the result of the expansion is eroded to remove the extra edges that may be generated during the expansion, and the adjacent granule areas are connected to form a complete connected area. A single erosion or expansion operation may not achieve the expected cleaning effect. At this point, you can consider performing multiple iterative operations on the image, that is, repeatedly performing erosion, expansion, opening or closing operations until the requirements are met. The contour edge extraction uses the Canny edge detection algorithm, and the related operations refer to the existing technology, which will not be described in detail in this article.

[0103] Through the connected region labeling algorithm, all starch granule regions in the image are identified, and the area and shape characteristics of each region are calculated.

[0104] Among them, in the connected region analysis, the wo-Pass algorithm suitable for binary image processing is selected.

[0105] Specifically, create an output image of the same size as the input image, but with an integer data type (for storing labels). Typically, the labels of background pixels are set to 0, and the initial labels of foreground (i.e., starch granules) pixels are set to temporary values ​​(which will be replaced with unique labels later). Starting from the upper left corner of the image, scan the entire image pixel by pixel. For each foreground pixel (i.e., starch granule pixel), check the pixels in its 4-connected or 8-connected neighborhood. If there is a foreground pixel in the neighborhood and it has not been assigned a label, it is classified as the same connected area as the current pixel and is given the same temporary label. If there is a foreground pixel in the neighborhood and it has been assigned different temporary labels, these different labels are recorded for subsequent processing. At the end of the first scan, record the equivalence relationship between multiple temporary labels, that is, which temporary labels represent the same connected area.

[0106] According to the equivalence relation recorded in the first scan, a unique identifier is assigned to each connected region. This is usually achieved by traversing all temporary labels and replacing them with the minimum label in their equivalence class. After completing the second scan, the labeled image is output, in which each connected region is assigned a unique identifier. The area is calculated by counting the number of pixels in each connected region. A variety of shape features can be calculated, such as perimeter (calculated by traversing the boundary pixels of the connected region), circularity (estimated by the relationship between area and perimeter), aspect ratio (calculated by the length and width of the minimum enclosing rectangle), etc.

[0107] The extracted features are classified to distinguish starch granules from other impurities.

[0108] Specifically, shape features such as area, perimeter, and circularity of each region are obtained from the connected region analysis as input features. A set of image samples of known categories, including starch granules and other impurities, are collected, and connected region analysis is performed on each sample, and the corresponding features are extracted. Since the dimensions and ranges of different features may be different, the features need to be standardized to ensure that each feature contributes fairly to the classifier. The SVM classifier is trained using the standardized feature data set. During the training process, the SVM finds a hyperplane that maximizes the interval between different categories. Connected region analysis is performed on new image samples, and the corresponding features are extracted. Then, the features are processed using the same standardization method. The standardized features are input into the trained SVM classifier, and the classifier will output the probability or decision value of each sample belonging to starch granules or other impurities. Based on the output of the classifier, the category of each sample can be determined. For probability output, a threshold can be set to determine the final category affiliation; for decision value output, the category can be directly determined based on the sign (positive or negative). In the above scenario of distinguishing starch granules from other impurities, the standardization process specifically refers to a series of transformation operations on the shape features such as area, perimeter, circularity, etc. of each region extracted from the connected region analysis. The relevant specific steps are referred to the prior art and will not be repeated in this article.

[0109] S213, calculating the number of contact pixels between the starch granule region and the mixed liquid background region to approximately represent the immersion ratio.

[0110] Specifically, each starch granule region is traversed and the number of edge pixels in contact with the mixed liquid background is counted. These pixel numbers are converted into actual surface area based on the pixel size and image resolution. The total number of pixels in each starch granule region is calculated and also converted into actual surface area.

[0111] Among them, the immersion ratio is defined as the ratio of the surface area of ​​the starch granules in contact with the mixed solution to the total surface area of ​​the starch granules, that is, the immersion ratio = the surface area corresponding to the number of contact pixels / the total surface area of ​​the starch granules. Before performing this step, it is necessary to control the experimental condition variables such as enzyme concentration, temperature, pH value, etc. in the laboratory, take images of the starch mixture at different enzymatic hydrolysis time points, perform the above processing flow on these images, and calculate the immersion ratio of the starch granules at each time point. According to the experimental data, a relationship model between the immersion ratio of starch granules and the enzymatic hydrolysis time is established, and the established relationship model is applied. In the actual production process, images of the material status in the drum are collected in real time. The enzymatic hydrolysis process is estimated based on the currently calculated starch granule immersion ratio.

[0112] S221. Set a threshold value according to the acquired total starch amount data, and start the centrifugal separation equipment when the starch concentration exceeds the set threshold value.

[0113] Specifically, according to the actual situation, the first extraction and separation of superoxide dismutase is started when the concentration of the first startup device reaches x%, the second startup threshold is set to y% (y>x), the third is set to z% (z>y), and so on until the final extraction and separation of superoxide dismutase. That is, when the total starch data obtained in real time exceeds the threshold, it is considered that the starch concentration in the mixed solution has reached the standard that requires further purification and treatment.

[0114] For example, the initial concentration of superoxide dismutase is 80%, and the target purification is 99.9%. The threshold for the first purification is set to start the device when the concentration reaches 85%. The device starts and the purification process begins. The purification stops when the concentration is close to but not more than 90%, assuming that the concentration after purification is 88%. The threshold for the second purification is set to start the device when the concentration reaches 90%. The device starts and continues to purify. The purification stops when the concentration is close to but not more than 95%, assuming that the concentration after purification is 92.5%. The threshold for the third purification is set to start the device when the concentration reaches 95%. The device starts and performs the final purification. The purification stops when the concentration is close to the target purity of 99.9%, assuming that the final concentration after purification is 99.8%.

[0115] S231, repeatedly performing the above operation until the extraction and separation of superoxide dismutase is completed.

[0116] The technical solutions in the above embodiments of the present application have at least the following technical effects or advantages:

[0117] By setting up a stirring system, it is ensured that starch granules are evenly dispersed in the enzymatic hydrolysis mixture, avoiding the viscosity problem caused by local excessive concentration and improving the contact efficiency between the enzyme and corn cells; the transmittance data of the real-time transmittance monitoring system can timely reflect the release and dispersion of starch in the mixture, providing a basis for adjusting the stirring parameters; through image analysis and starch immersion calculation, non-invasive and real-time enzymatic hydrolysis process monitoring is achieved, providing accurate data support for process adjustment; through the total amount of starch in the mixed solution control and centrifugal separation process, the excess starch in the mixed solution can be effectively removed, the viscosity is reduced, and the starch resources are recovered at the same time, improving the economy of the overall process.

[0118] Example 3: The above-mentioned Example 2 significantly improves the enzymatic hydrolysis efficiency in the SOD extraction process of corn raw materials by setting up a stirring system, real-time transmittance monitoring, image analysis and starch immersion amount calculation, mixed liquid starch total amount control and centrifugal separation. In order to further improve the enzymatic hydrolysis efficiency, step S221 is further improved on the basis of Example 2.

[0119] The enzymatically hydrolyzed mixture was centrifuged using a high-speed centrifuge to separate the solid precipitate and the supernatant.

[0120] Among them, the solid precipitate is mainly undissolved starch granules.

[0121] The solid precipitate obtained after centrifugation was collected, dried, weighed using a precision balance, and the mass of the precipitate was recorded.

[0122] Among them, the accuracy of the balance can reach at least 0.01 gram, or one hundredth of a gram.

[0123] Specifically:

[0124] S2211. Calculate the initial amount of corn flour and compare it with the starch content to calculate the theoretical amount of starch that should be obtained.

[0125] Specifically, the mass of the corn starch granule precipitate after separation is recorded as Mn. The known corn starch content percentage P can usually be obtained through product instructions or previous analysis. The theoretical starch amount Ms = Mn*P provides a reference standard for evaluating the completion of the enzymatic hydrolysis process.

[0126] S2212. By comparing the actual amount of starch in the precipitate with the theoretical amount of starch, the completion of the enzymatic hydrolysis process is calculated to obtain the percentage completion of the enzymatic hydrolysis process.

[0127] Among them, the degree of completion of the enzymatic hydrolysis process Ma is the actual amount of starch measured by weighing after drying.

[0128] S2213. Analyze the above steps and evaluate the effects of enzymatic hydrolysis conditions such as temperature, pH value, and enzyme dosage on the degree of process completion.

[0129] The technical solutions in the above embodiments of the present application have at least the following technical effects or advantages:

[0130] By further optimizing the starch amount analysis step after centrifugal separation, the quantitative evaluation of the degree of completion of the enzymatic hydrolysis process was achieved. By comparing the difference between the actual starch amount and the theoretical starch amount, the efficiency of the enzymatic hydrolysis reaction can be intuitively reflected, and key data support can be provided for process optimization, which improves the controllability and predictability of the production process, thereby improving product quality and production efficiency.

[0131] The enzymatic hydrolysis efficiency of SOD extraction from corn raw materials was significantly improved through optimization of the stirring system, real-time transmittance monitoring, image analysis and starch infiltration calculation, total starch content control and centrifugal separation of the mixed solution.

[0132] Ensure sufficient contact between the enzyme and corn cells, shorten the enzymatic hydrolysis time, and increase the SOD yield; through real-time monitoring and data analysis, achieve precise control of the enzymatic hydrolysis process and reduce human intervention errors; effectively recycle starch resources, reduce waste generation, and improve the economy and environmental protection of the process.

[0133] Example 4: The above Example 3 achieves a quantitative assessment of the completion of the enzymatic hydrolysis process by further optimizing centrifugal separation and starch amount analysis, improves the controllability and predictability of the production process, thereby improving product quality and production efficiency. In order to further improve the enzymatic hydrolysis efficiency, further improvements are made on the basis of Example 3.

[0134] Set up sensors and data recording systems to obtain continuous and dynamic data sets, including the changes in various parameters during the enzymatic hydrolysis process. Real-time monitoring and recording of the enzymatic hydrolysis progress and overall time data of the same batch of materials.

[0135] Data from the first three batches were collected and averaged to establish a baseline standard for the enzymatic hydrolysis operation.

[0136] Among them, the baseline value formula for enzymatic hydrolysis operation is:

[0137]

[0138] n represents the number of data points for which the average is to be calculated. In this case, it refers to the number of data points in the first three batches (i.e., n = 3, but the formula is written in a more general form that can be applied to any number of batches). batch_i represents the data value of the i-th batch, It represents the sum of all data values ​​from the first batch to the nth batch. This formula means that the average value of these data is calculated by adding the data values ​​of the first three batches (or any specified number of batches) and dividing by the number of batches. This average value is used as the baseline value.

[0139] According to the real-time progress of starch filtering out of the drum screen, the drum screen speed and the time interval of mixing the mixed liquid are dynamically adjusted to achieve the best enzymatic hydrolysis effect.

[0140] Specifically, according to factors such as the viscosity, water content, and gelatinization temperature of the starch raw material, the initial setting of the drum screen speed range can be between 200-600 rpm. According to the real-time progress of starch filtration, the drum screen speed is dynamically adjusted. The subsequent speed adjustment should not exceed 50 rpm each time and should be adjusted every 10-30 minutes. The initial stirring time should be no less than 5 minutes. In the early stage of enzymolysis, the stirring time interval can be appropriately shortened to once every 5-10 minutes to promote sufficient contact and reaction between the enzyme and starch. In the middle stage of enzymolysis, as the reaction proceeds, the stirring time interval can be appropriately extended to once every 15-20 minutes to reduce energy consumption and equipment wear. In the late stage of enzymolysis, when approaching the end point of the reaction, the stirring time interval can be extended or stirring can be stopped to avoid the impact of excessive stirring on the starch structure.

[0141] The distribution and concentration of starch in the mixed liquid are analyzed based on the single filtration volume and the overall cumulative volume of starch, and the drainage and flushing frequency of the centrifuge are automatically adjusted.

[0142] Specifically, the amount of starch filtered out each time during the centrifugation process is monitored in real time by a weighing device, and a data system is established to record the total amount cumulatively. The volume of the mixed solution is estimated by the feed and discharge volume of the centrifuge, and then the starch concentration is calculated (C=M / V, where C is the concentration, M is the mass of starch, and V is the volume of the mixed solution). The concentration calculation is performed every 10 minutes, synchronized with the monitoring of the filtration volume. Initially, the concentration is analyzed once every 0.5 hours at different locations, and the upper limit of the concentration is set to 12% and the lower limit is 8%. When the concentration exceeds the upper limit, the frequency of centrifuge drainage flushing automatically increases by 20% until the concentration drops below the upper limit; when the concentration is lower than the lower limit, the frequency automatically decreases by 10% until the concentration rises above the lower limit. The initial flushing frequency is once every 30 minutes. For example, if the concentration is monitored to continue to rise to 12.5%, the flushing frequency will be automatically adjusted to once every 24 minutes. After adjustment, when the concentration drops to 10%, the current frequency is maintained or fine-tuned as needed. If the concentration continues to be lower than 8%, the frequency is automatically adjusted to once every 33 minutes, and so on.

[0143] When stirring stops, the camera captures the image of the upper part of the mixed liquid in the drum screen and converts it into a grayscale image for analyzing the distribution and concentration of starch particles.

[0144] Among them, the captured color image is converted into a grayscale image, and the grayscale image converts the color value of each pixel into a brightness value between 0-255.

[0145] Through image processing algorithms, the grayscale value changes in different areas of the grayscale image are analyzed to determine the progress and quality of starch filtration and obtain the real-time progress and estimated amount of starch filtration.

[0146] Specifically, during the starch filtration process, the grayscale image is first divided into multiple ROI regions, and the grayscale values ​​of the pixels in each region are extracted. These grayscale values ​​directly reflect the presence and concentration of starch granules. By counting the average grayscale value and grayscale value distribution of each ROI, the average concentration of starch granules and their distribution can be understood. After continuous filtration, the starch granules in the mixed solution decrease, resulting in a decrease in grayscale value. By comparing the grayscale images and grayscale value changes at different time points, the trend and speed of starch filtration can be analyzed. Specifically, the continuous decrease in grayscale value indicates that the filtration is ongoing and the effect is significant; while the grayscale value changes slowly or stops decreasing, it means that the filtration has reached a stable state or needs to be adjusted. In order to estimate the amount of starch filtration, a mathematical model is established based on experimental data and experience to convert the grayscale value change into the amount of starch filtration. This usually involves establishing a linear or nonlinear relationship between grayscale value and starch concentration. By continuously capturing and analyzing images, the progress information of starch filtration is obtained in real time, and the filtration amount of the remaining starch is estimated based on the current filtration progress and grayscale value change trend. This estimation process requires reference to historical data and experience to make appropriate predictions and corrections.

[0147] The effectiveness of the current enzymatic hydrolysis parameters was evaluated by comprehensively analyzing data such as drum screen speed, stirring time interval, centrifugation frequency, and image recognition results.

[0148] Among them, evaluating the effectiveness of the current enzymatic hydrolysis parameters includes: evaluating the enzymatic hydrolysis efficiency to determine whether the current enzymatic hydrolysis parameters can achieve the expected enzymatic hydrolysis efficiency, or whether there is a significant improvement compared with historical data;

[0149] Evaluate product quality to check whether the product quality meets the requirements, including purity, yield, structure, etc. Evaluate energy consumption: analyze whether the energy consumption under the current enzymatic hydrolysis parameters is reasonable and whether there is room for energy saving; evaluate operational stability to determine whether the enzymatic hydrolysis process can run stably without drastic fluctuations or abnormal situations.

[0150] Adjust the enzymatic hydrolysis control parameters based on the evaluation results.

[0151] Among them, the enzymatic hydrolysis control parameters include drum screen speed, stirring time interval, centrifugation frequency, etc.

[0152] For example, an implementation scenario is simulated according to the above steps as follows:

[0153] The fourth batch of corn flour is now undergoing enzymatic hydrolysis, and the data for the first three batches have been collected and the baseline standard has been calculated. The baseline data for the first three batches are 120 minutes for enzymatic hydrolysis time, 300 rpm for drum screen speed, 10 minutes for stirring time interval, and once every 30 minutes for centrifugation frequency. The fourth batch of real-time monitoring data (hypothetical data), initial time 0 minutes, current time 60 minutes, current starch filtration volume 40%, and image recognition results show that the starch granule concentration is medium to high. When the starch granule concentration exceeds a certain threshold, the stirring and centrifugation frequency is increased from once every 30 minutes to once every 25 minutes.

[0154] The system records the current enzymatic hydrolysis progress and time data in real time, compares the current progress with the baseline, and finds that the current 40% starch filtration rate is slightly faster than the baseline progress within 60 minutes. According to the real-time monitoring data and image recognition results, the system judges that the current starch granule concentration is high and needs to increase stirring to promote the enzymatic hydrolysis reaction. Because the starch filtration progress is faster than expected, the system decides to carry out the next centrifugal operation in advance, and adjusts the original plan of centrifugation every 30 minutes to once every 25 minutes, and the flushing volume remains unchanged to ensure that the starch is effectively separated without excessive waste of water resources. At each time the stirring stops, an image of the mixed liquid in the drum screen is taken and converted into a grayscale image for processing. The grayscale image is analyzed by the image processing algorithm to confirm the starch filtration progress and compare it with the preset threshold. If the filtration amount is close to the preset upper limit, prepare for the next centrifugal operation. The system continuously monitors the progress of enzymatic hydrolysis and dynamically adjusts the control parameters according to the real-time data and image recognition results. If the filtration amount is close to the preset upper limit, prepare for the next centrifugal operation.

[0155] The simulation results showed that due to active control and real-time monitoring, the final enzymatic hydrolysis time of the fourth batch was shortened to 105 minutes, which was 15 minutes earlier than the baseline time.

[0156] It should be noted that due to the more efficient enzymatic process, the activity of the product (such as glucose) is expected to increase. The specific value needs to be determined experimentally, but generally the activity is proportional to the enzymatic efficiency.

[0157] The technical solutions in the above embodiments of the present application have at least the following technical effects or advantages:

[0158] By introducing advanced technical means such as continuous data monitoring, baseline establishment, active control, and image recognition, intelligent management and optimization of the enzymatic hydrolysis process have been achieved; through real-time data collection and analysis, combined with image recognition technology, the progress of starch filtration can be accurately judged, and the enzymatic hydrolysis control parameters can be dynamically adjusted accordingly; this closed-loop feedback mechanism not only improves the enzymatic hydrolysis efficiency, but also ensures the stability and controllability of the production process; it can significantly shorten the enzymatic hydrolysis time, improve product activity, and at the same time reduce production costs and energy consumption.

[0159] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A method for preparing corn superoxide dismutase, characterized in that: The specific steps include: S1. Pretreatment: The germinated corn was crushed into 80-120 mesh, pH = 7.8, 0.05 mol / L phosphate buffer was added to the crushed germinated corn in a ratio of 1:2-4, mixed and evenly ground into corn pulp, and ultrasonic cell disruption was performed; S2. Enzymatic hydrolysis: S21. The corn slurry after ultrasonic crushing is added to the drum screen, and the lower half of the drum is immersed in the enzymatic mixture; the drum screen is started, and the corn material is tumbled in the drum while being immersed in the enzymatic mixture; S22. Every 10-15 minutes, extract the enzymatic mixture and centrifuge it to remove suspended starch particles and other impurities; S23. The clarified liquid after centrifugation is poured back into the drum screen and the enzymatic hydrolysis is repeated for 2-3 cycles; S24. The enzymatically hydrolyzed corn syrup is stirred and then filtered, the filtrate is collected, and 0.5% to 1.5% of the weight of the filtrate is added to the filtrate; S3. Extraction and post-processing: S31. The filtrate is ultrasonically obtained to obtain a liquid, and any one or more of an activator, a protective agent and a stabilizer are added to the liquid; S32. Concentration and drying: placing the filtrate into a low-temperature vacuum concentrator and evaporating it at 22-25°C for 8-15 hours to obtain a corn superoxide dismutase multi-enzyme liquid; mixing the corn superoxide dismutase multi-enzyme liquid and 1% of silicon dioxide by total weight, and then placing it into a low-temperature vacuum drying device, freeze-drying, and obtaining a corn superoxide dismutase multi-enzyme powder.

2. The method for preparing corn superoxide dismutase according to claim 1, characterized in that: The axis of the drum screen is arranged horizontally, the diameter of the drum screen hole is smaller than the diameter of the crushed corn particles, one end is open for feeding, and the other end is provided with a discharge port.

3. The method for preparing corn superoxide dismutase according to claim 1, characterized in that: The amount of corn slurry added in S21 is 40%-60% of the volume of the drum screen; the enzymatic hydrolysis mixture includes a composite enzyme and a surfactant, the composite enzyme is a mixture of pectinase, cellulase, hemicellulase and protease, the added amount of the composite enzyme is 0.5-2% of the mass of the corn slurry, and the surfactant is sodium dodecyl sulfate, the added amount is 0.5-0.8% of the mass of the rice slurry; the enzymatic hydrolysis temperature is 45-55° C., the pH value is 7.0-8.0, and the enzymatic hydrolysis time is 40-80 minutes.

4. The method for preparing corn superoxide dismutase according to claim 1, characterized in that: A plurality of sets of rotating blades are also installed in the drum screen; the object dynamic model is used to simulate the flow of objects in the mixing process to ensure comprehensive and uniform mixing; specifically, a plurality of blades are installed in the drum screen, and a spiral blade shape is initially selected, the blade width accounts for 10%-20% of the diameter of the drum screen, the blade length is slightly less than half of the length of the drum screen, and the blades are arranged in a staggered manner, with a blade angle of 30-60°.

5. The method for preparing corn superoxide dismutase according to claim 1, characterized in that: A transmittance sensor is also installed on the storage tank of the enzymatic mixed liquid to establish a mapping relationship model between transmittance and starch concentration; specifically: The mapping relationship model between the relevant transmittance and starch concentration is quantified by historical data and experimental calibration, and the analysis and fitting of the relevant quantitative data are determined by the actual situation; The camera below the drum screen takes pictures of the material status in the drum screen and performs feature extraction and recognition, and calculates the immersion ratio of starch particles in the mixed liquid to estimate the enzymatic hydrolysis process; Perform grayscale histogram analysis on the collected original image; Then, filtering and denoising preprocessing operations are performed to extract starch granule features; Morphological operations were applied to further clean up the image, remove noise, connect adjacent starch granule regions, and extract the contour edges of starch granules; Through the connected region labeling algorithm, all starch granule regions in the image are identified, and the area and shape characteristics of each region are calculated; Classify the extracted features to distinguish starch granules from other impurities; The number of contact pixels between the starch granule area and the mixed liquid background area was calculated to approximate the immersion ratio; A threshold is set according to the total starch amount data obtained, and step S221 is performed to start the centrifugal separation device when the starch concentration exceeds the set threshold; After step S221 is completed, step S231 is further performed: the above operations are repeatedly performed until the extraction and separation of superoxide dismutase is completed.

6. The method for preparing corn superoxide dismutase according to claim 5, characterized in that: After starting the centrifugal separation device in step S221, solid precipitate and supernatant are separated; the solid precipitate is mainly undissolved starch granules.

7. The method for preparing corn superoxide dismutase according to claim 6, characterized in that: The solid precipitate obtained after centrifugation was collected, dried, and weighed using a precision balance and the mass of the precipitate was recorded, specifically: S2211. Calculate the initial amount of corn flour and starch content, and calculate the theoretical amount of starch that should be obtained; S2212. The completion of the enzymatic hydrolysis process is calculated by comparing the actual amount of starch in the precipitate with the theoretical amount of starch, and the percentage completion of the enzymatic hydrolysis process is obtained; Among them, the degree of completion of the enzymatic hydrolysis process Ma is the actual amount of starch measured by weight after drying; S2213. Analyze the above steps and evaluate the effects of enzymatic hydrolysis conditions such as temperature, pH value, and enzyme dosage on the degree of process completion.

8. The method for preparing corn superoxide dismutase according to claim 7, characterized in that: After recording and analyzing the quality of the precipitate, sensors and data recording systems are also set up to obtain a continuous and dynamic data set, including the changes in various parameters during the enzymatic hydrolysis process, and to monitor and record the enzymatic hydrolysis progress and overall time data of the same batch of materials in real time.

9. The method for preparing corn superoxide dismutase according to claim 8, characterized in that: Before enzymatic hydrolysis of each batch of materials, collect data from the first three batches, calculate the average value, and establish the baseline standard for enzymatic hydrolysis operation; the baseline value formula for enzymatic hydrolysis operation is: n represents the number of data points for which the average value is to be calculated. In this implementation scenario, it refers to the number of data points in the first three batches. batch_i represents the data value of the i-th batch, Represents the sum of all data values ​​from the first batch to the nth batch; the formula means that the average value of these data is calculated by adding the data values ​​of the first three batches and dividing by the number of batches, and the average value is used as the baseline value.

10. The method for preparing corn superoxide dismutase according to claim 9, characterized in that: According to the real-time progress of starch filtering out of the drum screen, the drum screen speed and the mixing time interval are dynamically adjusted to achieve the best enzymatic hydrolysis effect; Combined with the single filtration amount and the overall cumulative amount of starch, the distribution and concentration of starch in the mixed liquid are analyzed, and the drainage and flushing frequency of the centrifuge is automatically adjusted; When stirring stops, the camera captures the image of the upper part of the mixed liquid in the drum screen and converts it into a grayscale image for analyzing the distribution and concentration of starch particles; By using image processing algorithms, the grayscale value changes in different areas of the grayscale image are analyzed to determine the progress and quality of starch filtration and obtain the real-time progress and estimated amount of starch filtration. Comprehensively analyze the data such as drum screen speed, stirring time interval, centrifugation frequency, image recognition results, etc. to evaluate the effectiveness of the current enzymatic hydrolysis parameters; Adjust the enzymatic hydrolysis control parameters based on the evaluation results.

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