Instant liquid rosemary composite antioxidant and preparation concentration monitoring method thereof

Abstract

The invention discloses an instant liquid rosemary composite antioxidant, which comprises the following components in percentage by mass: 1-40% of rosemary extract, 1-40% of antioxidant, 1-20% of stabilizer and the balance of water. 1%-20% of ascorbyl palmitate; 1%-10% of soybean phospholipid; 1%-10% of a synergist; 1%-30% of a carrier cosolvent; the sum of the mass percentages of all the components is 100%. The preparation concentration monitoring method of the instant liquid rosemary composite antioxidant comprises the following steps: S1, establishing a machine learning algorithm model for concentration monitoring, and constructing a single-component concentration fluctuation detection formula; s2, preparing a composite antioxidant; (S3); monitoring concentration data in real time; and S4, running the automatic concentration adjusting system. The concentration fluctuation of each component of the antioxidant is monitored in real time, the stability of the formula concentration is ensured, especially in the preparation process, the concentration deviation can be corrected in time by automatically adjusting the system, and the consistency and high efficiency of the product are ensured.

Description

Technical Field

[0001] The invention relates to the technical field of biological preparations, and in particular to a fast-dissolving rosemary composite antioxidant and a preparation concentration monitoring method thereof. Background Art

[0002] Rosemary is currently recognized worldwide as a plant with high antioxidant effects. Since the late 1960s and early 1970s, German and Japanese scientists have successively isolated ingredients with high antioxidant capacity from rosemary. The main ingredients in rosemary extract that play an antioxidant role are carnosic acid, carnosol, rosmarinic acid (fat soluble), and rosmarinic acid (water soluble). Rosemary and its extracts have multiple biological functions such as antioxidant, antibacterial, anti-tumor, anti-inflammatory, improving blood lipids, protecting the liver, and immune regulation. 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 a highly effective oxygen scavenger and enhancer. It is rated by the World Health Organization (WHO) Food Additives Committee as a nutritious, non-toxic, highly effective and safe food additive. It is also included in the United States Pharmacopoeia as a pharmaceutical excipient. It is the only antioxidant that can be used in infant food in my country. This product is fat-soluble, easily absorbed by the body, has good stability, is safe and non-toxic. It can be used in food to have antioxidant, food (oil) color protection, nutritional fortification and other effects. It has the characteristics of high safety, wide use and high nutritional value.

[0004] Soybean lecithin is a byproduct of the hydration and degumming of crude soybean oil during the production process. It is composed of lecithin, cephalin, phosphatidic acid and other components. It is a natural ionic surfactant with good performance and has multiple functions such as emulsification, softening, wetting, dispersion, penetration, volume expansion, defoaming and anti-oxidation. Soybean lecithin products are listed as safe and natural food additives, leavening agents, antioxidants, grain quality improvers and fortified food nutrients by countries around the world. They can improve the physical and chemical indicators of feed and animal production performance, and play an important role in animal health, growth and reproduction.

[0005] Rosemary antioxidants are a new type of excellent natural antioxidants with excellent antioxidant properties such as safety, broad spectrum, high efficiency and heat resistance. They can completely avoid the toxic side effects of synthetic antioxidants and the weakness of other natural antioxidants that are easily decomposed at high temperatures. Existing antioxidant preparation methods usually lack real-time monitoring and dynamic regulation of concentration, and it is difficult to accurately correct concentration deviations during the preparation process, which affects the consistency and effect of the product. Therefore, it is necessary to design a fast-dissolving liquid rosemary composite antioxidant and a preparation concentration monitoring method thereof to solve the above problems. Summary of the invention

[0006] The purpose of this section is to summarize some aspects of embodiments of the present invention and briefly introduce some preferred embodiments. Some simplifications or omissions may be made in this section and the specification abstract and the invention title of this application to avoid blurring the purpose of this section, the specification abstract and the invention title, and such simplifications or omissions cannot be used to limit the scope of the present invention.

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

[0008] Therefore, the object of the present invention is to provide a fast-dissolving liquid rosemary composite antioxidant and a preparation concentration monitoring method thereof, which is suitable for solving the problem that the prior art lacks real-time monitoring and dynamic regulation means for concentration, and it is difficult to accurately correct the concentration deviation during the preparation process, thereby affecting the consistency and effect of the product.

[0009] In order to solve the above technical problems, the present invention provides the following technical solutions: a fast-dissolving rosemary composite antioxidant, calculated by mass percentage, the composite antioxidant comprises: Rosemary extract 1% to 40%; Ascorbyl palmitate 1% to 20%; Soybean lecithin 1% to 10%; Synergist 1%~10%; Carrier solvent 1% to 30%; The sum of the mass percentages of the above components is 100%.

[0010] A method for monitoring the preparation concentration of a fast-dissolving rosemary composite antioxidant, the method for monitoring the preparation concentration is applicable to the above composite antioxidant, and the method for monitoring the preparation concentration comprises 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 composite antioxidants; S3; Real-time monitoring of concentration data; S4: The concentration automatic adjustment system is running; S5: Data recording and intelligent optimization.

[0011] As a preferred solution of the concentration monitoring method for preparing a fast-dissolving rosemary composite antioxidant according to the present invention, the single-component concentration fluctuation detection formula is as follows: ;in, For real-time concentration, it indicates rosemary extract , Ascorbyl Palmitate and soybean lecithin The concentration of any component in the equation, T (t) is the real-time temperature, which is the main factor affecting the concentration fluctuation. The adaptive coefficients related to the fluctuation range of the component concentration are automatically adjusted in the algorithm model. is the temperature influence coefficient, which indicates the sensitivity of temperature to concentration fluctuations.

[0012] As a preferred embodiment of the method for monitoring the concentration of a fast-dissolving rosemary composite antioxidant in liquid form described in the present invention, the threshold value is set as follows: ;

[0013] like > , it means that the concentration deviation of the component is large and needs to be adjusted;

[0014] like ≤ , it means that the concentration of the ingredient is stable and no adjustment is required.

[0015] As a preferred solution of the concentration monitoring method for preparing a fast-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: .

[0016] in, It 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 of the concentration fluctuation and balance the effects of the various components of the composite antioxidant. Adaptive coefficients related to component pressure sensitivity are optimized during machine learning algorithm model training. is the concentration of the carrier cosolvent, which is a factor of dissolution stability of the composite antioxidant. It is the coupling coefficient between the synergist and the carrier cosolvent, and regulates the regulating effect of the synergist and the solvent on the overall concentration.

[0017] As a preferred embodiment of the method for monitoring the concentration of a fast-dissolving rosemary composite antioxidant in liquid form described in the present invention, the threshold value is set as follows in the output result of the composite antioxidant concentration comprehensive deviation detection formula: ;

[0018] like > , it means that the overall concentration deviation of the composite antioxidant is large, and the concentration automatic adjustment system needs to be started;

[0019] like ≤ , it means that the overall concentration deviation of the composite antioxidant is within a reasonable range and there is no need to adjust the concentration.

[0020] As a preferred solution of the concentration monitoring method for preparing a fast-dissolving liquid rosemary composite antioxidant according to the present invention, 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: .

[0021] in, is the real-time calibration 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 monitoring value that affects the synergistic effect of antioxidants. is the exponential decay coefficient of rosemary extract, and the influence of the antioxidant effect of the controller in the concentration adjustment.

[0022] As a preferred solution of the concentration monitoring method for preparing a fast-dissolving solid rosemary composite antioxidant according to the present invention, the time gain function is used to correct the refinement effect of the concentration of the synergist and the carrier co-solvent on the overall concentration, and the time gain function is as follows: .

[0023] M represents the total number of data sampling points. This value represents the number of concentration monitoring data collected during the preparation process. It is used to calculate the average impact of the synergist and carrier cosolvent over a period of time to smooth concentration fluctuations. represents the real-time concentration of the synergist at the jth moment, Indicates the real-time concentration of the carrier cosolvent at the jth moment. t is the current time variable, indicating the real-time moment in the preparation process, used to track the change of the current concentration. j is the subscript of the data sampling time point, indicating the data record of each previous moment j, used to calculate the average value of the past M moments, reflecting the cumulative effect of the concentration in the preparation process. is the time attenuation factor, which controls the influence weight of past concentration data on the current moment.

[0024] As a preferred solution of the concentration monitoring method for preparing a fast-dissolving solid rosemary composite antioxidant according to the present invention, the first threshold is set in the output result of the real-time concentration correction formula. and the second threshold ;

[0025] like > , it means that the concentration deviation of the prepared composite antioxidant is large, exceeding the upper limit of stability judgment, and needs to be refined and adjusted;

[0026] like ≤ ≤ , it means that the concentration deviation of the prepared composite antioxidant is within a reasonable range, but there is a slight deviation, which needs to be further optimized to reach the ideal state;

[0027] like < , it means that the corrected concentration deviation has reached an ideal stable state, the concentration is close to the target value with small fluctuations, and no further optimization and adjustment is required.

[0028] As a preferred solution of the method for monitoring the concentration of a fast-dissolving rosemary composite antioxidant in liquid form described in the present invention, wherein: in S2, it comprises the following steps:

[0029] Preparation of carrier cosolvent: MCT and anhydrous ethanol are mixed in a ratio of 4:1;

[0030] Preparation of rosemary extract: crushed rosemary dry leaves, put into a supercritical carbon dioxide extraction kettle, and after it is raised to the set temperature, use CO 2 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 CO 2 The extracts are put into the extraction kettle for synergistic and enhanced selective extraction of rosemary. Static extraction is performed for 45 minutes, followed by dynamic extraction for 45 minutes. The extracted products are separated by decompression in a two-stage separation kettle. After the extraction process is completed, the products are released at one time.

[0031] Preparation of compound antioxidant: Add rosemary extract, L-AP, soybean lecithin and monoglyceride of citrate 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.

[0032] Beneficial effects of the present invention: The present invention establishes a machine learning algorithm model for concentration monitoring to monitor the concentration fluctuations of various antioxidant components in real time, thereby ensuring the stability of the formula concentration. In particular, during the preparation process, the automatic adjustment system can correct the concentration deviation in a timely manner to ensure the consistency and efficiency of the product. The data recording and intelligent optimization steps realize the adaptive adjustment of the antioxidant formula concentration monitoring through the accumulation and learning of historical concentration data, thereby not only ensuring the stability of product quality, but also reducing the errors and adjustment costs of manual operations, thereby improving production efficiency.

[0033] The present invention uses a variety of feed additives for compounding, which work synergistically and efficiently. While the synergist provides hydrogen to regenerate the antioxidant activity of the phenolic hydroxyl group of the phenolic antioxidant, it can also effectively prevent the induction of metal ions and prevent the occurrence of oxidation. These several approved auxiliary formulas make the antioxidant effect reach 1+1+1+1»4. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work. Among them:

[0035] Figure 1 A schematic diagram of the implementation steps of a method for monitoring the preparation concentration of a fast-dissolving liquid rosemary composite antioxidant proposed by the present invention;

[0036] Figure 2 A schematic diagram of the preparation steps of a fast-dissolving rosemary composite antioxidant and a preparation concentration monitoring method thereof proposed by the present invention;

[0037] Figure 3 The present invention provides a fast-dissolving rosemary composite antioxidant and a preparation concentration monitoring method thereof. DETAILED DESCRIPTION

[0038] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the accompanying drawings.

[0039] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0040] Secondly, the term "one embodiment" or "embodiment" as used herein refers to a specific feature, structure, or characteristic that may be included in at least one implementation of the present invention. The term "in one embodiment" that appears in different places in this specification does not necessarily refer to the same embodiment, nor does it refer to a separate or selective embodiment that is mutually exclusive with other embodiments.

[0041] Secondly, the present invention is described in detail with reference to the schematic diagram. When describing the embodiments of the present invention in detail, for the sake of convenience, the cross-sectional diagrams showing the device structure will not be partially enlarged according to the general scale, and the schematic diagrams are only examples, which should not limit the scope of protection of the present invention. In addition, in actual production, the three-dimensional dimensions of length, width and depth should be included.

[0042] Example 1

[0043] Reference Figure 1-Figure 3 , is an embodiment of the present invention, and provides a fast-dissolving rosemary composite antioxidant, which, calculated by mass percentage, comprises:

[0044] Rosemary extract 1% to 40%;

[0045] Ascorbyl palmitate 1% to 20%;

[0046] Soybean lecithin 1% to 10%;

[0047] Synergist 1%~10%;

[0048] Carrier solvent 1% to 30%;

[0049] The sum of the mass percentages of the above components is 100%.

[0050] The concentration of carnosic acid in rosemary extract is 70%;

[0051] Ascorbyl palmitate is L-ascorbyl palmitate (L-AP);

[0052] Soybean lecithin is a mixture of phosphatidylcholine, cephalin, phosphatidylinositol and phosphatidic acid;

[0053] The synergist is selected from monoglyceride of citrate;

[0054] The carrier cosolvent is one or two of medium-chain fatty acid triglyceride and anhydrous ethanol.

[0055] A method for monitoring the preparation concentration of a fast-dissolving rosemary composite antioxidant, the preparation concentration monitoring method is applicable to the above composite antioxidant, and the preparation concentration monitoring method comprises the following steps:

[0056] S1: Establish a machine learning algorithm model for concentration monitoring and construct a single component concentration fluctuation detection formula;

[0057] 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.

[0058] S2: Preparation of composite antioxidants;

[0059] In S2, it includes the following steps:

[0060] Preparation of carrier cosolvent: MCT and anhydrous ethanol are mixed in a ratio of 4:1;

[0061] Preparation of rosemary extract: crushed rosemary dry leaves, put into a supercritical carbon dioxide extraction kettle, and after it is raised to the set temperature, use CO 2 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 CO 2 The rosemary is then put into the extraction kettle for synergistic and enhanced selective extraction. The static extraction is performed for 45 minutes, and then the dynamic extraction is performed 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.

[0062] Table 1: Preparation conditions of rosemary extract

[0063] Preparation of compound antioxidant: Add rosemary extract, L-AP, soybean lecithin and monoglyceride of citrate 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.

[0064] S3; Real-time monitoring of concentration data;

[0065] 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.

[0066] S4: The concentration automatic adjustment system is running;

[0067] When 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 reactor to restore to the standard concentration;

[0068] S5: Data recording and intelligent optimization;

[0069] The concentration data and calibration steps in each batch preparation were recorded in the database for further optimization of the model.

[0070] The single component concentration fluctuation detection formula is as follows: .

[0071] in, For real-time concentration, it indicates rosemary extract , Ascorbyl Palmitate and soybean lecithin The concentration of any component in the equation, T (t) is the real-time temperature, which is the main factor affecting the concentration fluctuation. The adaptive coefficients related to the fluctuation range of the component concentration are automatically adjusted in the algorithm model. is the temperature influence coefficient, which indicates the sensitivity of temperature to concentration fluctuations.

[0072] In the output of the single-component concentration fluctuation detection formula, the threshold is set to ;

[0073] like > , it means that the concentration deviation of the component is large and needs to be adjusted;

[0074] like ≤ , it means that the concentration of the ingredient is stable and no adjustment is required.

[0075] The 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: .

[0076] in, It 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 of the concentration fluctuation and balance the effects of the various components of the composite antioxidant. Adaptive coefficients related to component pressure sensitivity are optimized during machine learning algorithm model training. is the concentration of the carrier cosolvent, which is a factor of dissolution stability of the composite antioxidant. It is the coupling coefficient between the synergist and the carrier cosolvent, and regulates the regulating effect of the synergist and the solvent on the overall concentration.

[0077] The threshold is set in the output result of the comprehensive deviation detection formula of the composite antioxidant concentration as ;

[0078] like > , it means that the overall concentration deviation of the composite antioxidant is large, and the concentration automatic adjustment system needs to be started;

[0079] like ≤ , it means that the overall concentration deviation of the composite antioxidant is within a reasonable range and there is no need to adjust the concentration.

[0080] 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: .

[0081] in, is the real-time calibration 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 monitoring value that affects the synergistic effect of antioxidants. is the exponential decay coefficient of rosemary extract, and the influence of the antioxidant effect of the controller in the concentration adjustment.

[0082] The time gain function is used to correct the refinement effect of the synergist and carrier cosolvent concentrations on the overall concentration, and the time gain function is as follows: .

[0083] M represents the total number of data sampling points. This value represents the number of concentration monitoring data collected during the preparation process. It is used to calculate the average impact of the synergist and carrier cosolvent over a period of time to smooth concentration fluctuations. represents the real-time concentration of the synergist at the jth moment, Indicates the real-time concentration of the carrier cosolvent at the jth moment. t is the current time variable, indicating the real-time moment in the preparation process, used to track the change of the current concentration. j is the subscript of the data sampling time point, indicating the data record of each previous moment j, used to calculate the average value of the past M moments, reflecting the cumulative effect of the concentration in the preparation process. is the time attenuation factor, which controls the influence weight of past concentration data on the current moment.

[0084] Set the first threshold in the output result of the real-time concentration correction formula and the second threshold ;

[0085] like > , it means that the concentration deviation of the prepared composite antioxidant is large, exceeding the upper limit of stability judgment, and needs to be refined and adjusted;

[0086] like ≤ ≤ , it means that the concentration deviation of the prepared composite antioxidant is within a reasonable range, but there is a slight deviation, which needs to be further optimized to reach the ideal state;

[0087] like < , it means that the corrected concentration deviation has reached an ideal stable state, the concentration is close to the target value with small fluctuations, and no further optimization and adjustment is required.

[0088] Example 2

[0089] Referring to Table 2, which is a second embodiment of the present invention, this embodiment is different from the first embodiment in that, in order to verify its beneficial effects, experimental comparison data between the present invention and the prior art are provided.

[0090] 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 common concentration monitoring method in the prior art to highlight the advantages of the present invention in concentration control accuracy and stability.

[0091] Experimental preparation: Rosemary extract, ascorbyl palmitate, soybean lecithin, monoglyceride citrate and carrier cosolvent (MCT to anhydrous ethanol 4:1 ratio) were used to prepare the composite antioxidant according to the ratio described in the present invention, and the real-time concentration monitoring device and machine learning algorithm model described in the present invention were used to collect and automatically adjust the concentration data; the control group used traditional concentration monitoring equipment and manually adjusted the concentration deviation;

[0092] Implementation process: MCT and anhydrous ethanol are mixed in a ratio of 4:1 to improve the solubility of the antioxidant. Rosemary components are extracted using supercritical CO2 extraction technology. Static extraction is performed at 60°C and 30 MPa for 45 minutes and dynamic extraction is performed for 45 minutes. After separation, a high-purity rosemary extract is obtained. Rosemary extract, ascorbyl palmitate, soybean lecithin and monoglyceride of citrate are added to a reactor in proportion and fully mixed at 45°C to generate a liquid antioxidant.

[0093] The concentration monitoring system was started, and a concentration fluctuation detection model was established using a machine learning algorithm, with the upper limit of the concentration deviation set at ±2%. During the preparation process, the concentration of each component was monitored in real time. When the deviation exceeded ±2%, the adjustment mechanism was automatically started to optimize the proportion of ingredients and reaction conditions to maintain a stable concentration. The control group was manually sampled, and the concentration was tested and adjusted manually every 30 minutes.

[0094] Table 2: Concentration monitoring method comparison test table

[0095] It can be seen from the data in Table 2 that the concentration monitoring method of the present invention is significantly superior to the existing concentration monitoring method in various indicators, specifically analyzed from the following aspects:

[0096] Concentration deviation control: The real-time monitoring and automatic adjustment system of the present invention controls the concentration deviation to ±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 accurately and effectively reduce the composition deviation caused by concentration fluctuations;

[0097] Monitoring and adjustment frequency: In terms of concentration monitoring frequency, the present invention realizes real-time monitoring, that is, data is collected once a second, and the automatic adjustment mechanism can be activated within 10 seconds for optimization; compared with the traditional method of monitoring once every 30 minutes, the adjustment delay time reaches 180 seconds. In comparison, the present invention significantly shortens the adjustment delay and ensures that concentration fluctuations can be corrected quickly;

[0098] Adjustment accuracy: The present invention controls the concentration deviation adjustment accuracy to ±1.5% through an intelligent monitoring system, which is significantly better than the ±5.0% of the traditional method. This is due to the application of machine learning algorithms. By continuously analyzing and optimizing data, the system can be adaptively adjusted to ensure that the concentration deviation is minimized.

[0099] Finished product concentration and batch qualified rate: The finished product concentration qualified rate and production batch qualified rate of the present invention reached 99% and 98% respectively, which were significantly higher than 88% and 85% of the traditional method, indicating that the present invention has great advantages in ensuring the quality of finished products and can improve the consistency and qualified rate of batch products;

[0100] Operator intervention times: Since the present invention adopts an automatic adjustment system, operators only need to intervene once during the production process, while the traditional method requires frequent manual intervention eight times, which greatly reduces labor costs and improves production efficiency;

[0101] In summary, it can be seen from the above test data analysis 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 is extremely creative and practical.

[0102] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A fast-dissolving rosemary composite antioxidant, characterized in that: Calculated by mass percentage, the composite antioxidant includes: Rosemary extract 1% to 40%; Ascorbyl palmitate 1% to 20%; Soybean lecithin 1% to 10%; Synergist 1% to 10%; Carrier solvent 1% to 30%; The sum of the mass percentages of the above components is 100%.

2. A method for monitoring the concentration of a fast-dissolving rosemary composite antioxidant, characterized in that: The preparation concentration monitoring method is applicable to the composite antioxidant in claim 1 above, and the preparation concentration monitoring method comprises 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 composite antioxidants; S3; Real-time monitoring of concentration data; S4: The concentration automatic adjustment system is running; S5: Data recording and intelligent optimization.

3. A method for monitoring the concentration of a fast-dissolving rosemary composite antioxidant according to claim 2, characterized in that: The single component concentration fluctuation detection formula is as follows: ;in, For real-time concentration, it indicates rosemary extract , Ascorbyl Palmitate and soybean lecithin The concentration of any component in the equation, T (t) is the real-time temperature, which is the main factor affecting the concentration fluctuation. The adaptive coefficients related to the fluctuation range of the component concentration are automatically adjusted in the algorithm model. is the temperature influence coefficient, which indicates the sensitivity of temperature to concentration fluctuations.

4. A method for monitoring the concentration of a fast-dissolving rosemary composite antioxidant according to claim 2, characterized in that: In the output of the single-component concentration fluctuation detection formula, the threshold is set to ; like > , it means that the concentration deviation of the component is large and needs to be adjusted; like ≤ , it means that the concentration of the ingredient is stable and no adjustment is required.

5. A method for monitoring the concentration of a fast-dissolving rosemary composite antioxidant according to claim 3, characterized in that: The 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: ;in, It 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 of the concentration fluctuation and balance the effects of the various components of the composite antioxidant. Adaptive coefficients related to component pressure sensitivity are optimized during machine learning algorithm model training. is the concentration of the carrier cosolvent, which is a factor of dissolution stability of the composite antioxidant. It is the coupling coefficient between the synergist and the carrier cosolvent, and regulates the regulating effect of the synergist and the solvent on the overall concentration.

6. A method for monitoring the concentration of a fast-dissolving rosemary composite antioxidant according to claim 5, characterized in that: The threshold is set in the output result of the comprehensive deviation detection formula of the composite antioxidant concentration as ; like > , it means that the overall concentration deviation of the composite antioxidant is large, and the concentration automatic adjustment system needs to be started; like ≤ , it means that the overall concentration deviation of the composite antioxidant is within a reasonable range and there is no need to adjust the concentration.

7. A method for monitoring the concentration of a fast-dissolving rosemary composite antioxidant according to claim 5, characterized in that: 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: ;in, is the real-time calibration 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 monitoring value that affects the synergistic effect of antioxidants. is the exponential decay coefficient of rosemary extract, and the influence of the antioxidant effect of the controller in the concentration adjustment.

8. A method for monitoring the concentration of a fast-dissolving rosemary composite antioxidant according to claim 7, characterized in that: The time gain function is used to correct the refinement effect 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. This value represents the number of concentration monitoring data collected during the preparation process, which is used to calculate the average impact of the synergist and carrier cosolvent over a period of time to smooth concentration fluctuations. represents the real-time concentration of the synergist at the jth moment, Indicates the real-time concentration of the carrier cosolvent at the jth moment. t is the current time variable, indicating the real-time moment in the preparation process, used to track the change of the current concentration. j is the subscript of the data sampling time point, indicating the data record of each previous moment j, used to calculate the average value of the past M moments, reflecting the cumulative effect of the concentration in the preparation process. is the time attenuation factor, which controls the influence weight of past concentration data on the current moment.

9. The method for monitoring the concentration of a fast-dissolving rosemary composite antioxidant according to claim 7, wherein: Set the first threshold in the output result of the real-time concentration correction formula and the second threshold ; like > , it means that the concentration deviation of the prepared composite antioxidant is large, exceeding the upper limit of stability judgment, and needs to be refined and adjusted; like ≤ ≤ , it means that the concentration deviation of the prepared composite antioxidant is within a reasonable range, but there is a slight deviation, which needs to be further optimized to reach the ideal state; like < , it means that the corrected concentration deviation has reached an ideal stable state, the concentration is close to the target value with small fluctuations, and no further optimization and adjustment is required.

10. The method for monitoring the concentration of a fast-dissolving rosemary composite antioxidant according to claim 2, characterized in that: In said S2, it includes the following steps: Preparation of carrier solvent: MCT and anhydrous ethanol are prepared in a ratio of 4:1; Preparation of rosemary extract: crushed rosemary dry leaves, put into a supercritical carbon dioxide extraction kettle, and after it is raised 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. They are all put into the extraction kettle for synergistic enhanced selective extraction of rosemary, first static extraction for 45 minutes, then dynamic extraction for 45 minutes, the extraction product is separated by decompression in a two-stage separation kettle, and the product is released at one time after the extraction process is completed; compound antioxidant preparation: specific proportions of rosemary extract, L-AP, soybean lecithin and monoglyceride are added to the reactor respectively, the reactor is adjusted to 45°C and stirred until completely dissolved and mixed, forming a reddish brown transparent oily liquid antioxidant.

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