A rapid-dissolving liquid rosemary composite antioxidant and its preparation concentration monitoring method

Abstract

The present invention discloses a quick-dissolving liquid rosemary composite antioxidant. Calculated by mass percentage content, the composite antioxidant includes: 1% - 40% of rosemary extract; 1% - 20% of ascorbyl palmitate; 1% - 10% of soy lecithin; 1% - 10% of synergist; 1% - 30% of carrier co-solvent; the sum of the mass percentage contents of the above-mentioned components is 100%. A method for monitoring the preparation concentration of the quick-dissolving liquid rosemary composite antioxidant, and the preparation concentration monitoring method includes the following steps: S1: Establish a machine learning algorithm model for concentration monitoring and construct a single-component concentration fluctuation detection formula; S2: Preparation of the composite antioxidant; S3: Real-time monitoring of concentration data; S4: Operation of the concentration automatic adjustment system. The present invention ensures the stability of the formulation concentration by real-time monitoring of the concentration fluctuations of each component of the antioxidant. Especially during the preparation process, the automatic adjustment system can timely correct the concentration deviation to ensure the consistency and high efficiency of the product.

Description

Technical Field

[0001] The present invention relates to the technical field of biological agents, and particularly to a quick-dissolving liquid rosemary composite antioxidant and a method for monitoring the preparation concentration thereof. Background Art

[0002] Rosemary is a plant that is currently recognized worldwide as having a relatively high antioxidant effect. Since the late 1960s and early 1970s, German and Japanese scientists have successively isolated components with high antioxidant capacity from rosemary. The main components in rosemary extract that play an antioxidant role are carnosic acid, carnosol, rosmarinol (liposoluble), and rosmarinic acid (water-soluble). Rosemary and its extracts have various biological functions such as antioxidant, antibacterial, anti-tumor, anti-inflammatory, improving blood lipids, protecting the liver, and immunomodulation. Rosemary has been widely used as a spice in cooking, a natural preservative in the food industry, and as an ornamental and medicinal plant.

[0003] Ascorbyl palmitate is an efficient oxygen scavenger and synergist, which is evaluated by the Food Additive Committee of the World Health Organization (WHO) as a food additive with nutritional value, non-toxicity, high efficiency, and safe use. At the same time, it is included in the United States Pharmacopeia as a pharmaceutical excipient. It is the only antioxidant that can be used in infant foods in China. This product has liposolubility, is easily absorbed by the body, has good stability, is safe and non-toxic, and can play functions such as antioxidant, food (oil) color protection, and nutritional fortification when used in food. It has the characteristics of high safety, wide use, and high nutritional value.

[0004] Soybean phospholipid is a by-product during the hydration degumming of crude oil in the production process of soybean oil. It is composed of components such as lecithin, cephalin, phosphatidylinositol, and phosphatidic acid. It is a natural ionic surfactant with good performance and has multiple functions such as emulsification, softening, wetting, dispersion, penetration, solubilization, defoaming, and antioxidant. Soybean phospholipid products are listed as safe, natural food additives, leavening agents, antioxidants, cereal quality improvers, and nutritional agents for fortified foods in various countries in the world. It can improve the physical and chemical indexes of feed and the production performance of animals, and plays an important role in the health, growth, and reproduction of animals.

[0005] As a new type of excellent natural antioxidant at present, rosemary antioxidant has superior antioxidant properties such as safety, broad spectrum, high efficiency, and heat resistance. It can completely avoid the toxic and side effects of synthetic antioxidants and the weakness that other natural antioxidants are easily decomposed at high temperatures. Existing antioxidant preparation methods usually lack means for real-time monitoring and dynamic regulation of concentration, and it is difficult to accurately correct concentration deviation during the preparation process, thus affecting the consistency and effect of the product. Therefore, it is necessary to design a quick-dissolving liquid rosemary composite antioxidant and a method for monitoring the preparation concentration thereof to solve the above problems. Summary of the Invention

[0006] The purpose of this section is to outline some aspects of the embodiments of the present invention and briefly introduce some preferred embodiments. Simplifications or omissions may be made in this section, as well as in the abstract and title of the present application, to avoid obscuring the purpose of this section, the abstract, and the title. However, such simplifications or omissions shall not be used to limit the scope of the present invention.

[0007] In view of the problems existing in the above-mentioned existing instant liquid rosemary composite antioxidant and its preparation concentration monitoring method, the present invention is proposed.

[0008] Therefore, the purpose of the present invention is to provide an instant liquid rosemary composite antioxidant and its preparation concentration monitoring method, which are applicable to solving the problems in the prior art that there are no means for real-time monitoring and dynamic regulation of the concentration, and it is difficult to accurately correct the concentration deviation during the preparation process, thus affecting the consistency and effectiveness of the product.

[0009] To solve the above technical problems, the present invention provides the following technical solutions: An instant liquid rosemary composite antioxidant, calculated by mass percentage content, the composite antioxidant includes:

[0010] Rosemary extract 1% - 40%;

[0011] Ascorbyl palmitate 1% - 20%;

[0012] Soybean phospholipid 1% - 10%;

[0013] Synergist 1% - 10%;

[0014] Carrier cosolvent 1% - 30%;

[0015] The sum of the mass percentage contents of the above-mentioned components is 100%.

[0016] A method for monitoring the preparation concentration of an instant liquid rosemary composite antioxidant, the preparation concentration monitoring method is applicable to the above composite antioxidant, and the preparation concentration monitoring method includes the following steps:

[0017] S1: Establish a machine learning algorithm model for concentration monitoring and construct a single-component concentration fluctuation detection formula;

[0018] S2: Preparation of the composite antioxidant;

[0019] S3; Real-time monitoring of concentration data;

[0020] S4: Operation of the concentration automatic adjustment system;

[0021] S5: Data recording and intelligent optimization.

[0022] As a preferred embodiment of the method for monitoring the preparation concentration of a quick-dissolving liquid rosemary composite antioxidant according to the present invention, the single-component concentration fluctuation detection formula is as follows:

[0023] ; where is the real-time concentration, representing the concentration of any one of the components in rosemary extract , ascorbyl palmitate and soy lecithin . T(t) is the real-time temperature, which is the main factor affecting the concentration fluctuation, is the adaptive coefficient related to the fluctuation amplitude of the component concentration, which is automatically adjusted in the algorithm model, is the temperature influence coefficient, representing the sensitivity of temperature to the concentration fluctuation.

[0024] As a preferred embodiment of the method for monitoring the preparation concentration of a quick-dissolving liquid rosemary composite antioxidant according to the present invention, in the output result of the single-component concentration fluctuation detection formula, the set threshold is ;

[0025] If >[[]] , it means that the concentration deviation of this component is large and needs to be adjusted;

[0026] If ≤ , it means that the concentration of this component is stable and does not need to be adjusted.

[0027] As a preferred embodiment of the method for monitoring the preparation concentration of a quick-dissolving liquid rosemary composite antioxidant according to the present invention, a composite antioxidant concentration comprehensive deviation detection formula is constructed according to the output result of the single-component concentration fluctuation detection formula, and the composite antioxidant concentration comprehensive deviation detection formula is as follows: .

[0028] Where represents the deviation of the overall concentration of the composite antioxidant, P(t) is the real-time pressure, which is used to adjust the denominator part of the concentration fluctuation to balance the action effects of each component of the composite antioxidant, is the adaptive coefficient related to the component pressure sensitivity, which is optimized in the machine learning algorithm model training, is the concentration of the carrier co-solvent, which is used as a factor for the dissolution stability of the composite antioxidant, is the coupling coefficient of the synergist and the carrier co-solvent, which regulates the adjustment effect of the synergist and the solvent on the overall concentration.

[0029] As a preferred embodiment of the method for monitoring the preparation concentration of a fast-dissolving liquid rosemary composite antioxidant according to the present invention, wherein: a threshold value is set in the output result of the composite antioxidant concentration comprehensive deviation detection formula as ;

[0030] If > , it indicates that the overall concentration deviation of the composite antioxidant is large, and the concentration automatic adjustment system needs to be started;

[0031] If ≤ , it indicates that the overall concentration deviation of the composite antioxidant is within a reasonable range, and the concentration does not need to be adjusted.

[0032] As a preferred embodiment of the method for monitoring the preparation concentration of a fast-dissolving liquid rosemary composite antioxidant according to the present invention, wherein: a real-time concentration correction formula is constructed according to the output result of the composite antioxidant concentration comprehensive deviation detection formula, and the real-time concentration correction formula is as follows: .

[0033] Wherein, is the real-time correction result of the composite antioxidant concentration, is the time gain function, is the influence coefficient of the synergist on the overall concentration correction, which is adaptive during model training, is the concentration of the synergist, a real-time monitored value, which affects the synergistic effect of the antioxidant, is the exponential decay coefficient of the rosemary extract, which affects the antioxidant effect of the controller during concentration adjustment.

[0034] As a preferred embodiment of the method for monitoring the preparation concentration of a fast-dissolving liquid rosemary composite antioxidant according to the present invention, wherein: the time gain function is used to correct the refined influence of the synergist and carrier cosolvent concentrations on the overall concentration, and the time gain function is as follows: .

[0035] M represents the total number of data sampling points, and this value represents the number of concentration monitoring data collected during the preparation process, which is used to calculate the average influence of the synergist and carrier cosolvent over a past period of time to smooth the concentration fluctuations, represents the real-time concentration of the synergist at the jth moment, represents the real-time concentration of the carrier cosolvent at the jth moment, t is the current time variable, representing the real-time moment during the preparation process, which is used to track the change of the current concentration, j is the subscript of the data sampling time point, representing the data record at each previous moment j, which is used to calculate the average value over the past M moments and reflect the cumulative effect of the concentration during the preparation process, is the time decay factor, which controls the influence weight of past concentration data on the current moment.

[0036] As a preferred embodiment of the method for monitoring the preparation concentration of the instant liquid rosemary composite antioxidant described in the present invention, wherein: a first threshold is set in the output result of the real-time concentration correction formula and a second threshold ;

[0037] If > , it means that the concentration deviation of the prepared composite antioxidant is large, exceeding the upper limit of stability judgment, and fine adjustment is required;

[0038] If ≤ ≤ , it means that the concentration deviation of the prepared composite antioxidant is within a reasonable range, but there are minor deviations, and further optimization is required to reach the ideal state;

[0039] If < , it means that the corrected concentration deviation has reached the ideal stable state, the concentration is close to the target value and the fluctuation is small, and no further optimization and adjustment are required.

[0040] As a preferred embodiment of the method for monitoring the preparation concentration of the instant liquid rosemary composite antioxidant described in the present invention, wherein: in the S2, it includes the following steps:

[0041] Preparation of the carrier co-solvent: MCT and absolute ethanol are prepared in a ratio of 4:1;

[0042] Preparation of rosemary extract: The crushed dry rosemary leaves are put into the supercritical carbon dioxide extraction kettle. After the temperature rises to the set temperature, the pressure is increased by the CO2 pump, and the pressures of the extraction kettle and the separation kettle are adjusted through each regulating valve. After the extraction and separation conditions are reached, the carrier co-solvent is sent into the mixer in front of the extraction kettle by the auxiliary pump and enters the extraction kettle together with CO2 for synergistic enhanced selective extraction of rosemary. After static extraction for 45 minutes, dynamic extraction is carried out for another 45 minutes. The extraction product is depressurized and separated by two-stage separation kettles. After the extraction process is completed, the product is discharged at one time;

[0043] Preparation of the compound antioxidant: Specific proportions of rosemary extract, L-AP, soy phospholipid and monoglyceryl citrate are respectively added to the reaction kettle, and the reaction kettle is adjusted to 45°C and stirred until completely dissolved and mixed to form a red-brown transparent oily liquid antioxidant.

[0044] Advantages of the present invention: By establishing a machine learning algorithm model for concentration monitoring, the present invention can monitor the concentration fluctuations of various components of the antioxidant in real time, ensuring the stability of the formulation concentration. Especially during the preparation process, the automatic adjustment system can timely correct the concentration deviation, ensuring the consistency and high efficiency of the product. The data recording and intelligent optimization steps realize the adaptive adjustment of the antioxidant formulation concentration monitoring through the accumulation and learning of historical concentration data. This not only ensures the stable quality of the product, but also reduces the errors and adjustment costs of manual operations, improving production efficiency.

[0045] The present invention uses a variety of feed additives for compounding, which play a synergistic and efficient role. While the synergist enhances the antioxidant activity of the phenolic hydroxyl group of the hydrogen-supplying regenerative phenolic antioxidant, it can also effectively prevent the induction of metal ions and prevent oxidation from occurring. These several approved additive formulations enable the antioxidant effect to reach 1 + 1 + 1 + 1 » 4. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the following drawings are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings. Among them:

[0047] Figure 1 It is a schematic diagram of the implementation steps of a method for monitoring the preparation concentration of a quick-dissolving liquid rosemary composite antioxidant proposed by the present invention;

[0048] Figure 2 It is a schematic diagram of the preparation steps of a quick-dissolving liquid rosemary composite antioxidant and its method for monitoring the preparation concentration proposed by the present invention;

[0049] Figure 3 It is a schematic diagram of the implementation steps of the preparation of a quick-dissolving liquid rosemary composite antioxidant and its method for monitoring the preparation concentration proposed by the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0050] To make the above objects, features, and advantages of the present invention more obvious and understandable, the following will provide a detailed description of the specific embodiments of the present invention with reference to the accompanying drawings of the specification.

[0051] Many specific details are set forth in the following description in order to fully understand the present invention, but the present invention can also be implemented in other ways different from those described herein. Those skilled in the art can make similar extensions without departing from the connotation of the present invention. Therefore, the present invention is not limited by the specific embodiments disclosed below.

[0052] Secondly, the "one embodiment" or "embodiment" referred to herein means a specific feature, structure or characteristic that may be included in at least one implementation manner of the present invention. The phrase "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor is it an individual or alternative embodiment that is mutually exclusive with other embodiments.

[0053] Thirdly, the present invention is described in detail in conjunction with schematic diagrams. When describing the embodiments of the present invention in detail, for the convenience of explanation, the cross-sectional views showing the device structure will be enlarged locally out of the general scale, and the schematic diagrams are only examples and should not limit the scope of protection of the present invention herein. In addition, in actual production, three-dimensional spatial dimensions including length, width and depth should be included.

[0054] Embodiment 1

[0055] Referring to Figures 1 - 3 , an embodiment of the present invention provides a quick-dissolving liquid rosemary composite antioxidant. Calculated by mass percentage, the composite antioxidant includes:

[0056] Rosemary extract 1% - 40%;

[0057] Ascorbyl palmitate 1% - 20%;

[0058] Soybean phospholipid 1% - 10%;

[0059] Synergist 1% - 10%;

[0060] Carrier co-solvent 1% - 30%;

[0061] The sum of the mass percentage contents of the above components is 100%.

[0062] Among them, the concentration of rosmarinic acid in the rosemary extract is 70%;

[0063] Ascorbyl palmitate is L-ascorbyl palmitate (L-AP);

[0064] Soybean phospholipid is a mixture of lecithin, cephalin, phosphatidylinositol and phosphatidic acid;

[0065] The synergist is selected from citric acid monoglyceride;

[0066] The carrier co-solvent is one or two of medium-chain triglycerides and absolute ethanol.

[0067] A method for monitoring the preparation concentration of a quick-dissolving liquid rosemary composite antioxidant. The preparation concentration monitoring method is applicable to the above composite antioxidant, and the preparation concentration monitoring method includes the following steps:

[0068] S1: Establish a machine learning algorithm model for concentration monitoring and construct a single component concentration fluctuation detection formula;

[0069] At different stages of the preparation process of the composite antioxidant, the concentration data of rosemary extract, ascorbyl palmitate, soybean lecithin and other raw materials were collected to form a concentration benchmark database. A machine learning algorithm was selected to train the concentration data. The model output was a real-time concentration value. The training model learned the influence of each variable on the concentration, and optimized the prediction accuracy of the model through multiple iterations. The accuracy of the machine learning model was verified using the collected historical concentration data set.

[0070] S2: Preparation of composite antioxidants;

[0071] In S2, it includes the following steps:

[0072] Preparation of carrier cosolvent: MCT and anhydrous ethanol are mixed in a ratio of 4:1;

[0073] Preparation of rosemary extract: crush the dried rosemary leaves and put them into a supercritical carbon dioxide extraction kettle. After the temperature reaches the set temperature, use a CO2 pump to increase the pressure. Adjust the pressure of the extraction kettle and the separation kettle through various regulating valves. After the extraction and separation conditions are reached, use an auxiliary pump to send the carrier solvent into the mixer in front of the extraction kettle and enter the extraction kettle together with CO2 to perform synergistic and enhanced selective extraction of rosemary. First, perform static extraction for 45 minutes, and then perform dynamic extraction for 45 minutes. The extracted product is separated by decompression in a two-stage separation kettle. After the extraction process is completed, the product is released at one time;

[0074] Table 1: Preparation conditions of rosemary extract

[0075]

[0076] Preparation of compound antioxidant: Add rosemary extract, L-AP, soybean lecithin and monoglyceride in specific proportions into the reactor respectively, adjust the temperature of the reactor to 45°C and stir until completely dissolved and mixed to form a reddish brown transparent oily liquid antioxidant.

[0077] S3; Real-time monitoring of concentration data;

[0078] During the preparation process, concentration data of each component is collected through concentration sensors at set intervals, and the real-time concentration data is input into the machine learning model. The model predicts the concentration based on the real-time data and historical data.

[0079] S4: The concentration automatic adjustment system is running;

[0080] When a concentration deviation is detected, the machine learning model provides adjustment suggestions, and the control system adjusts the ratio according to the suggestions, or automatically adjusts the temperature, pressure, stirring rate, etc. in the reaction kettle to restore to the standard concentration;

[0081] S5: Data recording and intelligent optimization;

[0082] Record the concentration data and correction steps in each batch of preparation into the database for further optimization of the model.

[0083] The single-component concentration fluctuation detection formula is as follows: .

[0084] Among them, is the real-time concentration, representing the concentration of any one of the components in rosemary extract , ascorbyl palmitate and soy lecithin , T(t) is the real-time temperature, which is the main factor affecting the concentration fluctuation, is the adaptive coefficient related to the fluctuation amplitude of the component concentration, which is automatically adjusted in the algorithm model, is the temperature influence coefficient, representing the sensitivity of temperature to concentration fluctuation.

[0085] In the output result of the single-component concentration fluctuation detection formula, the set threshold is ;

[0086] If > , it means that the concentration deviation of this component is large and needs to be adjusted;

[0087] If ≤ , it means that the concentration of this component is stable and no adjustment is needed.

[0088] Construct a composite antioxidant concentration comprehensive deviation detection formula according to the output result of the single-component concentration fluctuation detection formula, and the composite antioxidant concentration comprehensive deviation detection formula is as follows: .

[0089] Among them, represents the deviation of the overall concentration of the composite antioxidant, P(t) is the real-time pressure, which is used for the denominator part of adjusting the concentration fluctuation to balance the action effects of each component of the composite antioxidant, is the adaptive coefficient related to the component pressure sensitivity, which is optimized in the machine learning algorithm model training, is the concentration of the carrier cosolvent, which is used as a factor for the dissolution stability of the composite antioxidant, is the coupling coefficient of the synergist and the carrier cosolvent, which regulates the adjustment effect of the synergist and the solvent on the overall concentration.

[0090] Set the threshold in the output result of the comprehensive deviation detection formula for the concentration of the composite antioxidant to ;

[0091] If > , it indicates that the overall concentration deviation of the composite antioxidant is large, and the concentration automatic adjustment system needs to be started;

[0092] If ≤ , it indicates that the overall concentration deviation of the composite antioxidant is within a reasonable range, and the concentration does not need to be adjusted.

[0093] Construct a real-time concentration correction formula according to the output result of the comprehensive deviation detection formula for the concentration of the composite antioxidant, and the real-time concentration correction formula is as follows: .

[0094] Among them, is the real-time correction result of the concentration of the composite antioxidant, is the time gain function, is the influence coefficient of the synergist on the overall concentration correction, which is adaptive during model training, is the concentration of the synergist, a real-time monitored value, which affects the synergistic effect of the antioxidant, is the exponential decay coefficient of rosemary extract, which affects the antioxidant effect of the controller during concentration adjustment.

[0095] The time gain function is used to correct the refined influence of the concentrations of the synergist and the carrier co-solvent on the overall concentration, and the time gain function is as follows: .

[0096] M represents the total number of data sampling points. This value represents the number of concentration monitoring data collected during the preparation process, and is used to calculate the average influence of the synergist and the carrier co-solvent over a past period of time to smooth the concentration fluctuations, represents the real-time concentration of the synergist at the j-th moment, represents the real-time concentration of the carrier co-solvent at the j-th moment, t is the current time variable, representing the real-time moment during the preparation process, used to track the change of the current concentration, j is the subscript of the data sampling time point, representing the data record at each previous moment j, used to calculate the average value over the past M moments, reflecting the cumulative effect of the concentration during the preparation process, is the time decay factor, which controls the influence weight of past concentration data on the current moment.

[0097] Set the first threshold and the second threshold in the output result of the real-time concentration correction formula;

[0098] If > , it indicates that the concentration deviation of the prepared compound antioxidant is large, exceeding the upper limit of stability judgment, and fine adjustment is required;

[0099] If ≤ ≤ , it indicates that the concentration deviation of the prepared compound antioxidant is within a reasonable range, but there are minor deviations, and further optimization is required to achieve an ideal state;

[0100] If < , it indicates that the corrected concentration deviation has reached an ideal stable state, the concentration is close to the target value and the fluctuation is small, and no further optimization and adjustment are required.

[0101] Example 2

[0102] Referring to Table 2, this is the second embodiment of the present invention. The difference between this embodiment and the first embodiment is that in order to verify its beneficial effects, experimental comparison data between the present invention and the prior art are provided.

[0103] This embodiment verifies the advantages of the concentration monitoring method described in the present invention in real-time monitoring and adjustment through experiments, and compares it with the ordinary concentration monitoring method of the prior art to highlight the advantages of the present invention in concentration control accuracy and stability.

[0104] Experimental preparation: Use rosemary extract, ascorbyl palmitate, soy lecithin, citric acid monoglyceride and carrier co-solvent (MCT and absolute ethanol in a ratio of 4:1), and prepare the compound antioxidant according to the ratio described in the present invention. Select the real-time concentration monitoring device and machine learning algorithm model described in the present invention to collect and automatically adjust the concentration data; the control group uses traditional concentration monitoring equipment and manually adjusts the concentration deviation;

[0105] Implementation process: Mix MCT and absolute ethanol in a ratio of 4:1 to improve the solubility of the antioxidant. Use supercritical CO2 extraction technology to extract rosemary components, statically extract for 45 minutes and dynamically extract for 45 minutes at 60 °C and 30 MPa respectively. After separation, high-purity rosemary extract is obtained. Add rosemary extract, ascorbyl palmitate, soy lecithin and citric acid monoglyceride to the reaction kettle in proportion and mix well at 45 °C to generate a liquid antioxidant;

[0106] Start the concentration monitoring system, establish a concentration fluctuation detection model using machine learning algorithms, and set the upper limit of concentration deviation to ±2%. During the preparation process, the concentrations of each component are monitored in real time. When a deviation exceeding ±2% is detected, the adjustment mechanism is automatically activated to optimize the ingredient ratio and reaction conditions to maintain stable concentration. In the control group, manual sampling is performed, and the concentration is detected every 30 minutes and adjusted manually.

[0107] Table 2: Comparative test table of concentration monitoring methods

[0108]

[0109] From the data in Table 2, it can be seen that the concentration monitoring method of the present invention is significantly superior to the existing concentration monitoring methods in various indicators, and the specific analysis is as follows:

[0110] Concentration deviation control: The real-time monitoring and automatic adjustment system of the present invention controls the concentration deviation within ±1.3%, while the deviation of the traditional manual monitoring and manual adjustment method is as high as ±6.5%. This shows that the present invention can maintain the target concentration more precisely and effectively reduce the ingredient deviation caused by concentration fluctuations;

[0111] Monitoring and adjustment frequency: In terms of the concentration monitoring frequency, the present invention realizes real-time monitoring, that is, data is collected once per second, and the automatic adjustment mechanism can be activated for optimization within 10 seconds; while the traditional method is detected once every 30 minutes, and the adjustment delay time reaches 180 seconds. In contrast, the present invention significantly shortens the adjustment delay and ensures that the concentration fluctuations can be quickly corrected;

[0112] Adjustment accuracy: The present invention controls the adjustment accuracy of the concentration deviation within ±1.5% through the intelligent monitoring system, which is significantly better than ±5.0% of the traditional method. This benefits from the application of machine learning algorithms. By continuously analyzing and optimizing data, the system can adaptively adjust to ensure that the concentration deviation is minimized;

[0113] Finished product concentration and batch qualification rate: The qualified rate of the finished product concentration and the production batch qualification rate of the present invention reach 99% and 98% respectively, which are significantly higher than 88% and 85% of the traditional method. This shows that the present invention has great advantages in ensuring the quality of the finished product and can improve the consistency and qualification rate of batch products;

[0114] Number of operator interventions: Due to the adoption of the automatic adjustment system in the present invention, the operator only needs to intervene once during the production process, while the traditional method requires frequent manual interventions 8 times, which greatly reduces the labor cost and improves the production efficiency;

[0115] In summary, through the analysis of the above experimental data, it can be seen that the concentration monitoring method of the present invention is superior to the prior art in terms of accuracy, real-time performance, and automation level, and can effectively maintain the concentration stability during the preparation process. Compared with the traditional method, the present invention reduces the quality deviation of the finished product caused by concentration fluctuations, improves the consistency and production efficiency of the product, and has great creativity and practical value.

[0116] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical solutions of the present invention, and they should all be covered by the scope of the claims of the present invention.

Claims

1. A method for monitoring the preparation concentration of a quick-dissolving liquid rosemary composite antioxidant. Calculated by mass percentage content, the composite antioxidant includes: Rosemary extract 1% - 40%; Ascorbyl palmitate 1% - 20%; Soybean phospholipid 1% - 10%; Synergist 1% - 10%; Carrier cosolvent 1% - 30%; The sum of the mass percentage contents of the above components is 100%. It is characterized by including the following steps: S1: Establish a machine learning algorithm model for concentration monitoring and construct a single-component concentration fluctuation detection formula; The single-component concentration fluctuation detection formula is as follows: Among them, is the real-time concentration, representing the concentration of any one of the rosemary extract , ascorbyl palmitate and soy lecithin . T(t) is the real-time temperature, which is the main factor affecting the concentration fluctuation, is the adaptive coefficient related to the fluctuation amplitude of the component concentration and is automatically adjusted in the algorithm model, is the temperature influence coefficient, representing the sensitivity of temperature to the concentration fluctuation; S2: Preparation of the compound antioxidant; S3; Real-time monitoring of concentration data; Construct a compound antioxidant concentration comprehensive deviation detection formula according to the output result of the single-component concentration fluctuation detection formula, and the compound antioxidant concentration comprehensive deviation detection formula is as follows: Among them, represents the deviation of the overall concentration of the composite antioxidant, and P(t) is the real-time pressure, which is used for the denominator part to adjust the concentration fluctuation and balance the action effects of each component of the composite antioxidant. The adaptive coefficient related to the component pressure sensitivity is optimized in the machine learning algorithm model training. is the concentration of the carrier co-solvent and serves as a factor for the dissolution stability of the composite antioxidant. is the coupling coefficient of the synergist and the carrier co-solvent, which regulates the adjustment effects of the synergist and the solvent on the overall concentration. S4: Operation of the concentration automatic adjustment system; Construct a real-time concentration correction formula according to the output result of the compound antioxidant concentration comprehensive deviation detection formula, and the real-time concentration correction formula is as follows: Among them, is the real-time correction result of the composite antioxidant concentration, is the time gain function, is the influence coefficient of the synergist on the overall concentration correction, which is adaptive during model training, is the synergist concentration, the real-time monitored value, which affects the synergistic effect of the antioxidant, is the exponential decay coefficient of the rosemary extract, which affects the antioxidant effect of the controller during concentration adjustment; The time gain function is used to correct the refined influence of the synergist and carrier cosolvent concentrations on the overall concentration, and the time gain function is as follows: $M$ represents the total number of data sampling points, which indicates the number of concentration monitoring data collected during the preparation process and is used to calculate the average impact of the synergist and the carrier co-solvent over a past period of time to smooth out the concentration fluctuations. represents the real-time concentration of the synergist at the $j$-th moment. represents the real-time concentration of the carrier co-solvent at the $j$-th moment. $t$ is the current time variable, representing the real-time moment during the preparation process and is used to track the change of the current concentration. $j$ is the subscript of the data sampling time point, representing the data records at each previous moment $j$ and is used to calculate the average value over the past $M$ moments to reflect the cumulative effect of the concentration during the preparation process. is the time decay factor, which controls the influence weight of the past concentration data on the current moment. S5: Data recording and intelligent optimization.

2. The concentration monitoring method for preparing a quick-dissolving liquid rosemary composite antioxidant according to claim 1, characterized in that: In the output result of the single-component concentration fluctuation detection formula, set the threshold to ; If > , it indicates that the concentration deviation of this component is large and adjustment is required; If ≤ , it means that the concentration of this component is stable and no adjustment is required.

3. A method for monitoring the preparation concentration of a quick-dissolving liquid rosemary composite antioxidant according to claim 1, characterized in that: Set the threshold value in the output result of the comprehensive deviation detection formula for the concentration of the composite antioxidant to be ; If > , it means that the overall concentration deviation of the composite antioxidant is large, and the automatic concentration adjustment system needs to be started; If ≤ , it means that the overall concentration deviation of the compound antioxidant is within a reasonable range and no concentration adjustment is required.

4. A method for monitoring the preparation concentration of a rapid-dissolving liquid rosemary composite antioxidant according to claim 1, characterized in that: Set a first threshold in the output result of the real-time concentration correction formula and a second threshold ; If > , it means that the concentration deviation of the prepared composite antioxidant is large, exceeding the upper limit of stability judgment, and fine adjustment is required; If ≤ ≤ , it means that the concentration deviation of the prepared compound antioxidant is within a reasonable range, but there are minor deviations and further optimization is required to achieve the ideal state; If < , it means that the corrected concentration deviation has reached an ideal stable state, the concentration is close to the target value and the fluctuation is small, and no further optimization and adjustment are required.

5. A method for monitoring the preparation concentration of a quick-dissolving liquid rosemary composite antioxidant according to claim 1, characterized in that: In the said S2, it includes the following steps: Formulation of the carrier cosolvent: Mix MCT and absolute ethanol in a ratio of 4:1; Preparation of rosemary extract: crush the dried rosemary leaves, put them into a supercritical carbon dioxide extraction kettle, and after heating to the set temperature, use The pump increases the pressure, and the pressure of the extraction kettle and the separation kettle is adjusted through the regulating valves. When the extraction and separation conditions are reached, the auxiliary pump is used to send the carrier solvent into the mixer in front of the extraction kettle to mix with the solvent. The extracts are put into the extraction kettle for synergistic and enhanced selective extraction of rosemary. The extracts are first extracted statically for 45 minutes and then dynamically extracted for 45 minutes. The extracts are separated by decompression in a two-stage separation kettle. After the extraction process is completed, the products are released at one time. Formulation of the compound antioxidant: Add specific proportions of rosemary extract, L-AP, soybean phospholipid and monoglyceryl citrate into the reaction kettle respectively. The reaction kettle is adjusted to 45°C and stirred until completely dissolved and mixed to form a red-brown transparent oily liquid antioxidant.

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