Selenium-rich and calcium-rich solid beverage and preparation method thereof
Patent Information
- Application Number
- CN202610732025.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-05-26
- Publication Date
- 2026-09-01
AI Technical Summary
[0003]现有富硒多钙固体饮料在实际制备过程中,普遍更加侧重于原料配方比例以及基础混合工艺,而对于发酵活化阶段中的营养活性稳定控制缺乏有效分析机制,尤其是在活性钙肽形成过程中,容易受到溶氧浓度以及局部活化环境波动等因素影响,导致不同区域内活性钙肽生成效率存在明显差异,进而造成局部区域钙肽活性偏低、营养转化效率下降以及产品稳定性不足的问题
(1)本发明对营养基料进行发酵监测,将发酵容器区域进行区域划分,得到若干子区域,获取子区域中的钙肽肽活性数据,并进行分析,得到活性异常子区域,获取发酵容器中不同子区域内的溶氧浓度数据,并进行分析,得到异常分析值,从而通过异常分析值反映出发酵容器中异常重合子区域数量以及溶氧浓度异常程度,判断钙肽活性低疑似是由于溶氧浓度不足所造成的。
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Figure CN122664410A_ABST
Abstract
Description
Technical Field
[0001] This invention belongs to the field of food processing technology, specifically a selenium-enriched calcium-rich solid beverage and its preparation method. Background Technology
[0002] With the continuous development of the functional nutritional food industry, solid beverages rich in trace elements and minerals have gradually attracted market attention, especially selenium-enriched multi-calcium solid beverages that combine selenium and calcium supplementation. Because they can meet the body's nutritional needs for selenium and calcium, they are widely used in fortified foods, functional beverages, and dietary supplements. Existing selenium-enriched multi-calcium solid beverages are typically prepared by compounding plant extracts, mineral calcium sources, and protein nutritional bases. The final product is formed through processes such as mixing, concentration, drying, and granulation to achieve the purpose of nutritional supplementation and functional fortification.
[0003] Current preparation methods for selenium-enriched calcium-rich solid beverages generally focus more on raw material formulation ratios and basic mixing processes, lacking effective analytical mechanisms for the stable control of nutritional activity during the fermentation and activation stage. This is particularly true during the formation of active calcium peptides, which is easily affected by factors such as dissolved oxygen concentration and fluctuations in the local activation environment. This leads to significant differences in the efficiency of active calcium peptide formation in different regions, resulting in lower calcium peptide activity in certain areas, decreased nutrient conversion efficiency, and insufficient product stability. Existing technologies mostly employ holistic fermentation monitoring methods, making it difficult to perform refined analysis of the activity status in different regions within the fermentation system.
[0004] Furthermore, in the existing production process of selenium-enriched calcium solid beverages, there is a lack of historical periodic verification analysis of the relationship between dissolved oxygen concentration and active calcium peptides. This makes it impossible to effectively identify whether there is a stable correlation between abnormal dissolved oxygen and abnormal activity. As a result, even if a decrease in activity is found during the production process, it is difficult to quickly determine whether it is caused by insufficient dissolved oxygen, which in turn affects the accuracy and reliability of subsequent oxygen regulation work. Summary of the Invention
[0005] In order to overcome the shortcomings of the prior art, at least one technical problem raised in the background art is solved.
[0006] The technical solution adopted by this invention to solve its technical problem is: a method for preparing a selenium-enriched, high-calcium solid beverage, comprising: Step 1: During the fermentation activation cycle, the nutrient substrate is monitored during fermentation. The fermentation container area is divided into several sub-regions. The activity data of the active calcium peptide components in the sub-regions are obtained. The activity data includes the calcium peptide activity value. The calcium peptide activity value is analyzed and processed to output the abnormal activity sub-regions. Step 2: Obtain dissolved oxygen concentration data in different sub-regions of the fermentation vessel. The dissolved oxygen concentration data includes dissolved oxygen concentration values. Analyze the dissolved oxygen concentration values in different sub-regions to obtain sub-regions with abnormal dissolved oxygen, and obtain the number and value of overlapping anomalies. Analyze the number and value of overlapping anomalies to obtain anomaly analysis values. If the anomaly analysis value is greater than the anomaly analysis threshold, a suspected analysis signal is generated. Step 3: Based on the suspected analysis signal, obtain the activation information of the nutrient substrate within multiple historical fermentation activation cycles through historical nutrient fermentation reports. The activation information includes historical activity data and historical dissolved oxygen concentration data. Analyze and process the historical activity data and historical dissolved oxygen concentration data to obtain the number of cycles overlapping and the cycle correlation value. Analyze and process the number of cycles overlapping and the cycle correlation value to output the suspected verification value. If the suspected verification value is greater than or equal to the suspected verification threshold, a nutrient optimization signal is generated. Step 4: Based on the nutrient optimization signal, obtain the dissolved oxygen adjustment coefficient and adjust the dissolved oxygen concentration during the activation fermentation process.
[0007] As a further aspect of the present invention, the method for obtaining the active abnormal sub-region is as follows: The activity values of calopeptides within a subregion are obtained using a bioactivity sensor and compared with the calopeptide activity threshold. If the calcium peptide activity value in a subregion is greater than or equal to the calcium peptide activity threshold, the subregion with normal calcium peptide activity is marked as a normally active subregion. If the calcium peptide activity value in a subregion is less than the calcium peptide activity threshold, the subregion with abnormal calcium peptide activity is marked as an abnormal activity subregion.
[0008] As a further aspect of the present invention, the method for obtaining the number of overlapping anomalies is as follows: Dissolved oxygen concentration values in different sub-regions of the fermentation vessel are obtained using dissolved oxygen concentration sensors and compared with dissolved oxygen concentration thresholds. If the dissolved oxygen concentration value in a sub-region is greater than or equal to the dissolved oxygen concentration threshold, the sub-region with high dissolved oxygen concentration is marked as a sub-region with normal concentration. If the dissolved oxygen concentration value in a sub-region is less than the dissolved oxygen concentration threshold, the sub-region with low dissolved oxygen concentration is marked as a concentration abnormal sub-region. The concentration anomaly sub-regions are extracted and compared with the activity anomaly sub-regions in terms of spatial overlap. The concentration anomaly sub-regions that overlap with the activity anomaly sub-regions in terms of spatial overlap are selected and marked as abnormally overlapping sub-regions. The number of abnormally overlapping sub-regions is obtained, and the ratio of the number of abnormally overlapping sub-regions to the total number of sub-regions in the fermentation vessel is calculated to obtain the number of abnormal overlaps.
[0009] As a further aspect of the present invention, the method for obtaining the anomaly analysis value is as follows: The difference between the dissolved oxygen concentration value corresponding to the abnormal overlapping sub-region and the oxygen concentration threshold is calculated, and the ratio is calculated to the dissolved oxygen concentration threshold to obtain the unit abnormality difference value. The summation and average of all unit anomaly differences are used to obtain the overlapping anomaly values; The anomaly analysis value is obtained by fitting the number of overlapping anomalies with the value of overlapping anomalies.
[0010] As a further aspect of the present invention, the method for obtaining the number of overlapping periods is as follows: Arbitrarily select a historical fermentation activation cycle, divide the historical fermentation container area into several historical sub-regions, obtain the historical activity value within each historical sub-region, and compare it with the historical activity threshold: If the historical activity value is greater than or equal to the historical activity threshold, the sub-region with normal calcium peptide activity is marked as the sub-region with normal historical activity. If the historical activity value is less than the historical activity threshold, the sub-region with abnormal calcium peptide activity will be marked as a sub-region with abnormal historical activity. Obtain historical dissolved oxygen concentration values within the historical sub-region and compare them with historical dissolved oxygen concentration thresholds: If the historical dissolved oxygen concentration value is greater than or equal to the historical dissolved oxygen concentration threshold, the sub-region with higher dissolved oxygen concentration is marked as the historical normal oxygen sub-region. If the historical dissolved oxygen concentration value is less than the historical dissolved oxygen concentration threshold, the sub-region with the lower dissolved oxygen concentration is marked as a historical oxygen anomaly sub-region. By comparing the historical oxygen anomaly sub-regions with the historical activity anomaly sub-regions, the sub-regions with both historical dissolved oxygen concentration and historical activity being anomalies are extracted as historical anomaly overlapping sub-regions. The number of historically overlapping sub-regions is obtained and compared with the total number of sub-regions divided within the fermentation vessel during the historical fermentation activation cycle to obtain the historical overlap number. The number of overlapping periods is calculated by averaging the number of historical overlaps corresponding to multiple historical fermentation and activation cycles.
[0011] As a further aspect of the present invention, the method for obtaining the suspected verification value is as follows: The ratio of the number of overlapping periods to the period correlation value is used to calculate the suspected verification value.
[0012] As a further aspect of the present invention, the method for obtaining the periodic correlation value is as follows: The historical dissolved oxygen concentration value within the historical anomaly overlap sub-region is obtained by subtracting the historical dissolved oxygen concentration threshold from the historical dissolved oxygen concentration value and then calculating the ratio of the difference to the historical dissolved oxygen concentration threshold to obtain the dissolved oxygen anomaly sub-value. The difference between the historical activity value and the historical activity threshold within the historical anomaly overlap region is calculated, and the ratio of the difference to the historical activity threshold is calculated to obtain the activity anomaly sub-value. The ratio of dissolved oxygen anomaly sub-value to activity anomaly sub-value is calculated to obtain anomaly correlation sub-value; The variance of all abnormal correlation sub-values is calculated to obtain the abnormal correlation value; The variance of the periodic correlation values corresponding to multiple historical fermentation and activation cycles is calculated to obtain the periodic correlation values.
[0013] As a further aspect of the present invention, the method for acquiring the nutrient optimization signal is as follows: Compare the suspected verification value with the suspected verification threshold: If the suspected verification value is greater than or equal to the suspected verification threshold, a nutrition optimization signal is generated.
[0014] As a further aspect of the present invention, the dissolved oxygen adjustment coefficient is obtained as follows: From multiple historical fermentation activation cycles, one historical fermentation activation cycle is randomly selected, and the corresponding abnormal correlation sub-values within the historical fermentation activation cycle are obtained. The corresponding abnormal correlation sub-values within the historical fermentation cycle are then summed and the average is taken to obtain the correlation adjustment value. The dissolved oxygen adjustment coefficient is obtained by comparing the magnitudes of multiple correlated adjustment values, extracting the maximum and minimum correlated adjustment values, summing the maximum and minimum correlated adjustment values, and taking the average.
[0015] A further aspect of the present invention is a selenium-enriched calcium-rich solid beverage, which is prepared using the above-described preparation method.
[0016] The beneficial effects of this invention are as follows: (1) The present invention monitors the fermentation of nutrient substrate, divides the fermentation container area into several sub-regions, obtains the activity data of calcium peptide in the sub-regions, and analyzes them to obtain the abnormal activity sub-regions. It also obtains the dissolved oxygen concentration data in different sub-regions in the fermentation container and analyzes them to obtain the abnormal analysis value. The abnormal analysis value reflects the number of abnormal overlapping sub-regions in the fermentation container and the degree of abnormal dissolved oxygen concentration. It is judged that the low activity of calcium peptide is suspected to be caused by insufficient dissolved oxygen concentration.
[0017] (2) The present invention obtains the nutrient substrate activation information in multiple historical fermentation activation cycles through historical fermentation reports, calculates the suspected verification value, and thus reflects the number of overlapping sub-regions with abnormal dissolved oxygen concentration and calcium peptide activity in multiple historical cycles through the suspected verification value, as well as the degree of correlation between abnormal dissolved oxygen concentration and abnormal calcium peptide activity in these abnormal sub-regions, and thus determines that abnormal dissolved oxygen concentration is the cause of abnormal calcium peptide activity.
[0018] (3) This invention obtains the correlation adjustment value by summing the corresponding abnormal correlation sub-values within the historical fermentation activation cycle, and compares their magnitudes to extract the maximum and minimum correlation adjustment values. The dissolved oxygen adjustment coefficient is then calculated. The dissolved oxygen adjustment coefficient is used to calculate the dissolved oxygen concentration during the activated fermentation after adjustment, thus completing the work of adjusting the dissolved oxygen concentration during the activated fermentation and solving the problem of low calcium peptide activity caused by insufficient dissolved oxygen concentration during the activated fermentation. Attached Figure Description
[0019] The invention will now be further described with reference to the accompanying drawings.
[0020] Figure 1 This is a flowchart of the preparation process of the multi-calcium active nutrient solution of the present invention; Figure 2 This is a process flow diagram of the preparation method of the selenium-enriched calcium-rich solid beverage in this invention. Detailed Implementation
[0021] To make the technical means, creative features, objectives and effects of this invention easier to understand, the invention will be further described below in conjunction with specific embodiments.
[0022] Example 1: Refer to Figure 2 As shown, a method for preparing a selenium-enriched, high-calcium solid beverage includes the following steps: S1. Raw material extraction: Selenium-rich plant raw materials are extracted using a 70%–95% ethanol aqueous solution, and then concentrated to dryness to obtain selenium-rich active extract. S2. Preparation of multi-calcium active nutrient solution: Edible plant protein base and calcium source raw materials are selected as raw materials, the nutrient base is activated and fermented, and the active polypeptide calcium nutrient solution after fermentation is collected. S3. Mixing and Preparation: Mix the selenium-enriched active extract with the active polypeptide calcium nutrient solution to obtain the functional beverage slurry. S4. Granulate the functional beverage slurry to obtain a selenium-enriched calcium-rich solid beverage.
[0023] Example 2: As Figure 1 As shown in the embodiment of the present invention, a method for preparing a selenium-enriched, multi-calcium solid beverage is analyzed, focusing on the preparation of the multi-calcium active nutrient solution in S2. The process includes: Step 1: During the fermentation activation cycle, the nutrient substrate is monitored during fermentation. The fermentation container area is divided into several sub-regions. The activity data of the active calcium peptide components in the sub-regions are obtained. The activity data includes the calcium peptide activity value. The calcium peptide activity value is analyzed and processed to output the abnormal activity sub-regions. The fermentation container area is divided into several sub-regions with equal areas. In some embodiments, the activity value of calcium peptides in a sub-region is obtained by a bioactivity sensor and compared with a calcium peptide activity threshold, as follows: If the calcium peptide activity value in a sub-region is greater than or equal to the calcium peptide activity threshold, that is, the calcium peptide activity in the analyzed sub-region is normal, the sub-region with normal calcium peptide activity is marked as a normal activity sub-region. If the calcium peptide activity value in a sub-region is less than the calcium peptide activity threshold, that is, the calcium peptide activity in the analyzed sub-region is abnormal, the sub-region with abnormal calcium peptide activity is marked as an abnormal activity sub-region. Step 2: Obtain dissolved oxygen concentration data in different sub-regions of the fermentation vessel. The dissolved oxygen concentration data includes dissolved oxygen concentration values. Analyze the dissolved oxygen concentration values in different sub-regions to obtain sub-regions with abnormal dissolved oxygen, and obtain the number and value of overlapping anomalies. Analyze the number and value of overlapping anomalies to obtain anomaly analysis values, and compare them with anomaly analysis thresholds. If the anomaly analysis value is greater than the anomaly analysis threshold, a suspected analysis signal is generated. In some embodiments, dissolved oxygen concentration values in different sub-regions of the fermentation vessel are obtained using a dissolved oxygen concentration sensor, and these values are compared with a dissolved oxygen concentration threshold. The process is as follows: If the dissolved oxygen concentration in a sub-region is greater than or equal to the dissolved oxygen concentration threshold, that is, the dissolved oxygen concentration in the analyzed sub-region is high and suitable for culturing the nutrient substrate, the sub-region with high dissolved oxygen concentration is marked as a sub-region with normal concentration. If the dissolved oxygen concentration in a sub-region is less than the dissolved oxygen concentration threshold, that is, the dissolved oxygen concentration in the analyzed sub-region is low and it is not suitable for culturing the nutrient substrate. The sub-region with low dissolved oxygen concentration is marked as a concentration abnormal sub-region. The concentration anomaly sub-regions are extracted and compared with the activity anomaly sub-regions in terms of spatial overlap. The concentration anomaly sub-regions that overlap with the activity anomaly sub-regions in terms of spatial overlap are selected and marked as abnormally overlapping sub-regions. The number of abnormally overlapping sub-regions is obtained. The ratio of this number to the total number of sub-regions within the fermentation vessel is calculated to determine the number of abnormal overlaps, which is then marked as follows: ; The difference between the dissolved oxygen concentration value corresponding to the abnormal overlapping sub-region and the oxygen concentration threshold is calculated, and the ratio is calculated to the dissolved oxygen concentration threshold to obtain the unit abnormality difference value. Sum all the outlier differences of each unit, take the average, and obtain the coincident outliers, which are then marked as... ; Number of overlapping anomalies Overlapping outliers Substitute into the formula: The anomaly analysis value was calculated. ,in, , This is expressed as a preset proportional coefficient, and The value is 2.334. The value is 1.354; It is understandable that the anomaly analysis value represents a quantitative indicator for a comprehensive assessment of sub-regions in a fermentation vessel that simultaneously exhibit abnormal dissolved oxygen concentration and abnormal calcium peptide activity. It reflects the number of abnormal overlapping sub-regions and the degree of dissolved oxygen concentration abnormality in the fermentation vessel. Specifically, the larger the value, the more abnormal overlapping sub-regions there are and the greater the degree of dissolved oxygen concentration abnormality. Conversely, the smaller the value, the fewer abnormal overlapping sub-regions there are and the less severe the degree of dissolved oxygen concentration abnormality. The specific implementation scheme of this invention is as follows: During the fermentation activation cycle, the nutrient substrate is monitored for fermentation. The fermentation container area is divided into several sub-regions. The activity data of calcium peptides in the sub-regions are obtained and analyzed to obtain abnormal activity sub-regions. The dissolved oxygen concentration data in different sub-regions in the fermentation container are obtained and analyzed to obtain abnormal analysis values. The abnormal analysis values reflect the number of abnormal overlapping sub-regions and the degree of abnormal dissolved oxygen concentration in the fermentation container. If there are many abnormal overlapping sub-regions and the degree of abnormal dissolved oxygen concentration is large, it indicates that the low activity of calcium peptides is suspected to be caused by insufficient dissolved oxygen concentration.
[0024] Step 3: Based on the suspected analysis signal, obtain the activation information of the nutrient substrate within multiple historical fermentation activation cycles through historical nutrient fermentation reports. The activation information includes historical activity data and historical dissolved oxygen concentration data. Analyze and process the historical activity data and historical dissolved oxygen concentration data to obtain the number of cycles overlapping and the cycle correlation value. Analyze and process the number of cycles overlapping and the cycle correlation value to output the suspected verification value, and compare it with the suspected verification threshold. If the suspected verification value is greater than or equal to the suspected verification threshold, a nutrient optimization signal is generated. Historical activity data includes historical activity values, and historical dissolved oxygen concentration data includes historical dissolved oxygen concentration values. In some embodiments, one historical fermentation activation cycle is randomly selected from multiple historical fermentation activation cycles. Within this cycle, the historical fermentation container area is divided into several historical sub-regions. Historical activity values within each sub-region are obtained, and these values are compared with historical activity thresholds. The process is as follows: If the historical activity value is greater than or equal to the historical activity threshold, that is, the calcium peptide activity is normal in the analyzed historical sub-region, the sub-region with normal calcium peptide activity is marked as the historical normal activity sub-region. If the historical activity value is less than the historical activity threshold, that is, the calcium peptide activity is abnormal in the analyzed historical sub-region, the sub-region with abnormal calcium peptide activity is marked as the historical activity abnormal sub-region. The historical dissolved oxygen concentration values within the historical sub-region are obtained, and these historical dissolved oxygen concentration values are compared with historical dissolved oxygen concentration thresholds. The process is as follows: If the historical dissolved oxygen concentration value is greater than or equal to the historical dissolved oxygen concentration threshold, that is, the dissolved oxygen concentration value is high in the analyzed historical sub-region, the sub-region with high dissolved oxygen concentration is marked as the historical normal oxygen sub-region. If the historical dissolved oxygen concentration value is less than the historical dissolved oxygen concentration threshold, that is, the dissolved oxygen concentration value is low in the analyzed historical sub-region, the sub-region with low dissolved oxygen concentration is marked as a historical oxygen anomaly sub-region. By comparing the historical oxygen anomaly sub-regions with the historical activity anomaly sub-regions, the sub-regions with both historical dissolved oxygen concentration and historical activity being anomalies are extracted as historical anomaly overlapping sub-regions. The number of historically overlapping sub-regions is obtained and compared with the total number of sub-regions divided within the fermentation vessel during the historical fermentation activation cycle to obtain the historical overlap number. The number of overlapping periods is calculated by averaging the number of historical overlaps corresponding to multiple historical fermentation and activation cycles. Arbitrarily select historical anomaly overlap sub-regions, obtain the historical dissolved oxygen concentration value within the historical anomaly overlap sub-region, calculate the difference between the historical dissolved oxygen concentration value and the historical dissolved oxygen concentration threshold, and calculate the ratio with the historical dissolved oxygen concentration threshold to obtain the dissolved oxygen anomaly sub-value. Arbitrarily select historical abnormal overlapping sub-regions, obtain the difference between the historical activity value and the historical activity threshold within the historical abnormal overlapping sub-region, and calculate the ratio with the historical activity threshold to obtain the activity abnormal sub-value; The ratio of dissolved oxygen anomaly sub-value to activity anomaly sub-value is calculated to obtain anomaly correlation sub-value; It should be noted that both the dissolved oxygen anomaly sub-value and the activity anomaly sub-value are calculated based on the same historical anomaly overlap sub-region. The variance of all abnormal correlation sub-values is calculated to obtain the abnormal correlation value; The variance of the periodic correlation values corresponding to multiple historical fermentation activation cycles is calculated to obtain the periodic correlation values; The ratio of the number of overlapping periods to the period correlation value is used to calculate the suspected verification value. Understandably, the meaning of the suspected validation value is: to reflect the number of overlapping sub-regions where both dissolved oxygen concentration and calcium peptide activity are abnormal in multiple historical periods, and the degree of correlation between the abnormal dissolved oxygen concentration and abnormal calcium peptide activity in these abnormal sub-regions. Specifically, if this value is larger, it indicates that the correlation between the abnormal dissolved oxygen concentration and abnormal calcium peptide activity is more stable; if this value is smaller, it indicates that the correlation between the abnormal dissolved oxygen concentration and abnormal calcium peptide activity is less stable. The suspected verification value is compared with the suspected verification threshold, as follows: If the suspected verification value is less than the suspected verification threshold, it indicates that the correlation between abnormal dissolved oxygen concentration and abnormal calcium peptide activity is relatively unstable, generating a non-optimal nutrient signal. Based on the non-optimal nutrient signal, the pH value, temperature, or humidity in different sub-regions of the fermentation vessel are detected and analyzed. If the suspected verification value is greater than or equal to the suspected verification threshold, it indicates that the correlation between abnormal dissolved oxygen concentration and abnormal calcium peptide acquisition is relatively stable, generating a nutrition optimization signal. The specific implementation scheme of this invention is as follows: Based on the suspected analysis signal, the activation information of the nutrient substrate in multiple historical fermentation activation cycles is obtained through historical fermentation reports, and the suspected verification value is calculated. The suspected verification value reflects the number of overlapping sub-regions with abnormal dissolved oxygen concentration and calcium peptide activity in multiple historical cycles, as well as the degree of correlation between abnormal dissolved oxygen concentration and abnormal calcium peptide activity in these abnormal sub-regions, thereby determining that abnormal dissolved oxygen concentration is the cause of abnormal calcium peptide activity.
[0025] Step 4: Based on the nutrient optimization signal, obtain the dissolved oxygen adjustment coefficient and adjust the dissolved oxygen concentration during the activation fermentation process to solve the problem of low calcium peptide activity caused by insufficient dissolved oxygen concentration during activation fermentation. In some embodiments, the dissolved oxygen adjustment coefficient is obtained as follows: From multiple historical fermentation activation cycles, one historical fermentation activation cycle is randomly selected, and the corresponding abnormal correlation sub-values within the historical fermentation activation cycle are obtained. The corresponding abnormal correlation sub-values within the historical fermentation cycle are then summed and the average is taken to obtain the correlation adjustment value. Multiple correlated adjustment values are compared, and the maximum and minimum correlated adjustment values are extracted. The maximum and minimum correlated adjustment values are added together and the average is taken to obtain the dissolved oxygen adjustment coefficient, which is denoted as K. The process for adjusting dissolved oxygen concentration during activation fermentation is as follows: Through the formula: The dissolved oxygen concentration during the adjusted activated fermentation was calculated. ,in, This represents the dissolved oxygen concentration during the current activated fermentation process. This is expressed as the dissolved oxygen adjustment factor; The specific implementation method of this invention is as follows: Based on the nutrient optimization signal, the corresponding abnormal correlation sub-values within the historical fermentation activation cycle are summed and averaged to obtain the correlation adjustment value. The values are then compared to extract the maximum and minimum correlation adjustment values to calculate the dissolved oxygen adjustment coefficient. The dissolved oxygen adjustment coefficient is then used to calculate the dissolved oxygen concentration during activated fermentation after adjustment, thus completing the adjustment of the dissolved oxygen concentration during activated fermentation and solving the problem of low calcium peptide activity caused by insufficient dissolved oxygen concentration during activated fermentation.
[0026] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely illustrative of the principles of the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the present invention as claimed. The scope of protection of the present invention is defined by the appended claims and their equivalents.
Claims
1. A method for preparing a selenium-enriched, high-calcium solid beverage, characterized in that: include: During the fermentation activation cycle, the nutrient substrate is monitored for fermentation. The fermentation container area is divided into several sub-regions. The activity data of the active calcium peptide components in the sub-regions are obtained. The activity data includes the calcium peptide activity value. The calcium peptide activity value is analyzed and processed to output the abnormal activity sub-regions. The dissolved oxygen concentration data of different sub-regions in the fermentation vessel is obtained. The dissolved oxygen concentration data includes dissolved oxygen concentration values. The dissolved oxygen concentration values of different sub-regions are analyzed to obtain the sub-regions with abnormal dissolved oxygen. The number of overlapping anomalies and the value of overlapping anomalies are obtained. The number of overlapping anomalies and the value of overlapping anomalies are analyzed and processed to obtain the anomaly analysis value. If the anomaly analysis value is greater than the anomaly analysis threshold, a suspected analysis signal is generated. Based on the suspected analysis signal, the activation information of the nutrient substrate in multiple historical fermentation activation cycles is obtained through historical nutrient fermentation reports. The activation information includes historical activity data and historical dissolved oxygen concentration data. The historical activity data and historical dissolved oxygen concentration data are analyzed and processed to obtain the number of cycles overlapping and the cycle correlation value. The number of cycles overlapping and the cycle correlation value are then analyzed and processed to output the suspected verification value. If the suspected verification value is greater than or equal to the suspected verification threshold, a nutrient optimization signal is generated. Based on the nutrient optimization signal, the dissolved oxygen adjustment coefficient is obtained, and the dissolved oxygen concentration during the activated fermentation process is adjusted accordingly.
2. The method for preparing a selenium-enriched, high-calcium solid beverage according to claim 1, characterized in that: The method for obtaining the active abnormal sub-region is as follows: The activity values of calopeptides within a subregion are obtained using a bioactivity sensor and compared with the calopeptide activity threshold. If the calcium peptide activity value in a subregion is greater than or equal to the calcium peptide activity threshold, the subregion with normal calcium peptide activity is marked as a normally active subregion. If the calcium peptide activity value in a subregion is less than the calcium peptide activity threshold, the subregion with abnormal calcium peptide activity is marked as an abnormal activity subregion.
3. The method for preparing a selenium-enriched, high-calcium solid beverage according to claim 1, characterized in that: The method for obtaining the number of overlapping anomalies is as follows: Dissolved oxygen concentration values in different sub-regions of the fermentation vessel are obtained using dissolved oxygen concentration sensors and compared with dissolved oxygen concentration thresholds. If the dissolved oxygen concentration value in a sub-region is greater than or equal to the dissolved oxygen concentration threshold, the sub-region with high dissolved oxygen concentration is marked as a sub-region with normal concentration. If the dissolved oxygen concentration value in a sub-region is less than the dissolved oxygen concentration threshold, the sub-region with low dissolved oxygen concentration is marked as a concentration abnormal sub-region. The concentration anomaly sub-regions are extracted and compared with the activity anomaly sub-regions in terms of spatial overlap. The concentration anomaly sub-regions that overlap with the activity anomaly sub-regions in terms of spatial overlap are selected and marked as abnormally overlapping sub-regions. The number of abnormally overlapping sub-regions is obtained, and the ratio of the number of abnormally overlapping sub-regions to the total number of sub-regions in the fermentation vessel is calculated to obtain the number of abnormal overlaps.
4. The method for preparing a selenium-enriched, high-calcium solid beverage according to claim 3, characterized in that: The method for obtaining the anomaly analysis values is as follows: The difference between the dissolved oxygen concentration value corresponding to the abnormal overlapping sub-region and the oxygen concentration threshold is calculated, and the ratio is calculated to the dissolved oxygen concentration threshold to obtain the unit abnormality difference value. The summation and average of all unit anomaly differences are used to obtain the overlapping anomaly values; The anomaly analysis value is obtained by fitting the number of overlapping anomalies with the value of overlapping anomalies.
5. The method for preparing a selenium-enriched, high-calcium solid beverage according to claim 1, characterized in that: The method for obtaining the number of overlapping periods is as follows: Arbitrarily select a historical fermentation activation cycle, divide the historical fermentation container area into several historical sub-regions, obtain the historical activity value within each historical sub-region, and compare it with the historical activity threshold: If the historical activity value is greater than or equal to the historical activity threshold, the sub-region with normal calcium peptide activity is marked as the sub-region with normal historical activity. If the historical activity value is less than the historical activity threshold, the sub-region with abnormal calcium peptide activity will be marked as a sub-region with abnormal historical activity. Obtain historical dissolved oxygen concentration values within the historical sub-region and compare them with historical dissolved oxygen concentration thresholds: If the historical dissolved oxygen concentration value is greater than or equal to the historical dissolved oxygen concentration threshold, the sub-region with higher dissolved oxygen concentration is marked as the historical normal oxygen sub-region. If the historical dissolved oxygen concentration value is less than the historical dissolved oxygen concentration threshold, the sub-region with the lower dissolved oxygen concentration is marked as a historical oxygen anomaly sub-region. By comparing the historical oxygen anomaly sub-regions with the historical activity anomaly sub-regions, the sub-regions with both historical dissolved oxygen concentration and historical activity being anomalies are extracted as historical anomaly overlapping sub-regions. The number of historically overlapping sub-regions is obtained and compared with the total number of sub-regions divided within the fermentation vessel during the historical fermentation activation cycle to obtain the historical overlap number. The number of overlapping periods is calculated by averaging the number of historical overlaps corresponding to multiple historical fermentation and activation cycles.
6. The method for preparing a selenium-enriched, high-calcium solid beverage according to claim 5, characterized in that: The method for obtaining the suspected verification value is as follows: The ratio of the number of overlapping periods to the period correlation value is used to calculate the suspected verification value.
7. The method for preparing a selenium-enriched, high-calcium solid beverage according to claim 6, characterized in that: The method for obtaining the periodic correlation value is as follows: The historical dissolved oxygen concentration value within the historical anomaly overlap sub-region is obtained by subtracting the historical dissolved oxygen concentration threshold from the historical dissolved oxygen concentration value and then calculating the ratio of the difference to the historical dissolved oxygen concentration threshold to obtain the dissolved oxygen anomaly sub-value. The difference between the historical activity value and the historical activity threshold within the historical anomaly overlap region is calculated, and the ratio of the difference to the historical activity threshold is calculated to obtain the activity anomaly sub-value. The ratio of dissolved oxygen anomaly sub-value to activity anomaly sub-value is calculated to obtain anomaly correlation sub-value; The variance of all abnormal correlation sub-values is calculated to obtain the abnormal correlation value; The variance of the periodic correlation values corresponding to multiple historical fermentation and activation cycles is calculated to obtain the periodic correlation values.
8. The method for preparing a selenium-enriched, high-calcium solid beverage according to claim 1, characterized in that: The method for acquiring the nutrition optimization signal is as follows: Compare the suspected verification value with the suspected verification threshold: If the suspected verification value is greater than or equal to the suspected verification threshold, a nutrition optimization signal is generated.
9. The method for preparing a selenium-enriched, high-calcium solid beverage according to claim 1, characterized in that: The dissolved oxygen adjustment coefficient is obtained as follows: From multiple historical fermentation activation cycles, one historical fermentation activation cycle is randomly selected, and the corresponding abnormal correlation sub-values within the historical fermentation activation cycle are obtained. The corresponding abnormal correlation sub-values within the historical fermentation cycle are then summed and the average is taken to obtain the correlation adjustment value. The dissolved oxygen adjustment coefficient is obtained by comparing the magnitudes of multiple correlated adjustment values, extracting the maximum and minimum correlated adjustment values, summing the maximum and minimum correlated adjustment values, and taking the average.
10. A selenium-enriched, high-calcium solid beverage, characterized in that: The solid beverage is prepared by the preparation method as described in any one of claims 1-9.
