A method and system for extracting and purifying active ingredients based on Xiaoshen formula.

Abstract

This invention relates to the field of active ingredient chemical extraction technology, and discloses a method and system for extracting and purifying active ingredients based on a kidney-clearing formula. The method includes: obtaining the optimal extraction enzyme and the optimal aqueous two-phase system; performing response surface methodology optimization based on the optimal extraction enzyme and the optimal aqueous two-phase system to obtain an optimal set of process parameters; separating the active ingredients from the raw material mixed powder using the optimal set of process parameters, an enzymatic hydrolysis reaction chamber, a two-phase extraction preparation chamber, and a centrifuge to obtain a phase-separated solution; and extracting the components from the phase-separated solution using a visual positioning device and a solution extraction probe to obtain the effective active ingredients. This invention can improve the extraction efficiency and automation level of the target active ingredients and reduce the risk of damage to heat-sensitive components.

Description

Technical Field

[0001] This invention relates to the field of active ingredient chemical extraction technology, and in particular to a method and system for extracting and purifying active ingredients based on Xiaoshen Formula. Background Technology

[0002] In the modernization of traditional Chinese medicine, the precise and efficient extraction and purification of active ingredients in prescriptions is a key link to ensure the clarity of their pharmacodynamic material basis and to achieve product quality standardization and controllability. For traditional Chinese medicine compound prescriptions like Xiaoshen Fang, which aim to regulate kidney-related symptoms, their expected efficacy depends on the combined action of multiple active ingredients. Therefore, developing an extraction and purification technology that can gently, efficiently, and selectively enrich the target active ingredients is of great fundamental significance for improving the quality of such preparations.

[0003] Traditional methods for extracting active ingredients typically use a single solvent (such as hot water or ethanol) for extraction or reflux. These methods have low extraction efficiency, poor selectivity for specific components in complex systems, and may damage heat-sensitive active ingredients due to prolonged high-temperature treatment, resulting in large fluctuations in the yield of the final product and poor quality consistency. Summary of the Invention

[0004] This invention provides a method for extracting and purifying active ingredients based on Xiaoshen formula, and a computer-readable storage medium. Its main purpose is to improve the extraction efficiency and automation of target active ingredients and reduce the risk of damage to heat-sensitive components.

[0005] To achieve the above objectives, the present invention provides a method for extracting and purifying the active ingredients based on Xiaoshen Formula, comprising: Based on the preset function of the kidney-clearing formula, the raw material group of ingredients is obtained, and the extraction process of the raw material group is optimized to obtain the optimal extraction enzyme and the optimal aqueous two-phase system. The raw material group of ingredients includes one or more raw materials. Response surface optimization was performed based on the optimal extraction enzyme and the optimal aqueous two-phase system to obtain the optimal set of process parameters. An automated extraction device is constructed, which includes a storage bin, a robotic arm, and a sample transfer track. The storage bin contains a raw material group, and the sample transfer track includes an enzymatic reaction chamber, a two-phase extraction preparation chamber, a centrifuge, a visual positioning device, and a solution extraction probe. A robotic arm is used to extract the raw material group from the storage bin, and the raw material group is crushed and mixed to obtain raw material mixed powder; Based on the optimal set of process parameters, an enzymatic hydrolysis reaction chamber, a two-phase extraction preparation chamber, and a centrifuge, the active ingredients of the raw material mixed powder are separated to obtain a phase-separated solution. The components of the phase-separated solution are extracted using a visual positioning device and a solution extraction probe to obtain effective active ingredients. Based on these effective active ingredients, the extraction and purification of active ingredients based on the Xiaoshen formula are completed.

[0006] Optionally, the optimization of the extraction process for the component raw materials to obtain the optimal extraction enzyme and the optimal aqueous two-phase system includes: The system includes an inorganic salt group and a lysozyme group, where the inorganic salt group includes multiple inorganic salts and the lysozyme group includes multiple lysozymes. Perform the following operation on each inorganic salt in the inorganic salt group: Inorganic salt compounds are obtained based on the types of inorganic salts; The extraction effect of compounds was analyzed based on the raw material group, inorganic salt compound group, and soluble enzyme type group to obtain the extraction effect value group. The extraction effect value group includes multiple extraction effect values, and the extraction effect values ​​correspond one-to-one with the soluble enzyme type. Summarize the extraction effect value groups corresponding to each inorganic salt type to obtain the extraction effect value group set; The optimal extraction species were selected based on the extraction effect value set, resulting in the optimal extraction enzyme and the optimal aqueous two-phase system.

[0007] Optionally, the step of analyzing the extraction effect of compounds based on the component raw material group, inorganic salt compound, and dissolving enzyme type group to obtain an extraction effect value group includes: The target aqueous two-phase system was prepared based on inorganic salt compounds, wherein the target aqueous two-phase system includes: inorganic salt compounds and anhydrous ethanol; Perform the following operation for each lysozyme in the lysozyme group: Obtain the target lysozyme based on the type of lysozyme; Based on the composition of the raw material group, a raw material sample group is obtained, and the raw material sample group is crushed and mixed to obtain a mixed material sample; The active ingredient content of the mixed material sample was obtained by using the target dissolving enzyme and the target aqueous two-phase system to perform active ingredient extraction tests. By summarizing the target active ingredient content groups for each type of lysozyme, a target active ingredient content group set is obtained; The extraction effect value group is calculated based on the target active ingredient content group.

[0008] Optionally, the step of using the target dissolving enzyme and the target aqueous two-phase system to extract and test the active ingredients of the mixed material sample to obtain the target active ingredient content group includes: The target lysin, the pre-set buffer solution, and the mixed material sample are mixed evenly to obtain a preliminary mixed solution; The preliminary mixed solution was heated in a water bath, and the target aqueous two-phase system was added during the water bath heating process to obtain a heated mixed solution; The heated mixed solution was sequentially cooled to room temperature and then centrifuged to obtain the target supernatant. Identify the target active ingredient group, which includes multiple target active ingredients; The content of active ingredients in the target supernatant was determined based on the target active ingredient group to obtain the target active ingredient content group. The target active ingredient content group includes the content of multiple target active ingredients, and the content of each target active ingredient corresponds one-to-one with the target active ingredient.

[0009] Optionally, the calculation of the extraction effect value set based on the target active ingredient content set includes: The target active ingredient content set is divided according to the target active ingredient group to obtain multiple active ingredient content sets of the same type. Each active ingredient content set of the same type corresponds one-to-one with the target active ingredient. The average active ingredient content group is obtained by averaging multiple sets of similar active ingredient content. For each target active ingredient content group in the target active ingredient content group set based on the average active ingredient content group, the following operation is performed: The extraction efficiency value was calculated using the average active ingredient content group and the target active ingredient content group. Summarize the extracted effect values ​​to obtain the extracted effect value group.

[0010] Optionally, the calculation of the extraction effect value using the average active ingredient content group and the target active ingredient content group includes: The extraction effect value is calculated based on the following formula: ; in, This indicates the extracted effect value. Indicates the quantity of the target active ingredient in the target active ingredient group. Indicates the first in the preset target active ingredient group Weighting coefficients for each target active ingredient. Indicates the first group in the target active ingredient content group Content of each target active ingredient Indicates the number of groups with average active ingredient content Average content of active ingredients.

[0011] Optionally, the optimal process parameter set obtained by response surface optimization based on the optimal extraction enzyme and the optimal aqueous two-phase system includes: Set a set of process parameter types to be optimized, which includes multiple process parameter types to be optimized; The types of process parameters to be optimized are extracted sequentially from the set of process parameters to be optimized. Single-factor extraction experiments are conducted on the extracted process parameters using the optimal extraction enzyme and the optimal aqueous two-phase system to obtain a set of single-factor extraction effect values. Calculate the correlation of univariate extraction based on the set of univariate extraction effect values; Summarize the correlations extracted from single factors to obtain the correlation set extracted from single factors; Based on the preset correlation threshold and single-factor extraction of correlation sets, the target optimization parameter set is identified in the set of process parameter types to be optimized. Response surface design is carried out based on the target optimization parameter type set, resulting in multiple response surface test conditions. Each response surface test condition contains multiple test parameters, and the test parameters correspond one-to-one with the target optimization parameter type. Compound extraction experiments were conducted under multiple response surface methodology (RSM) conditions to obtain multiple RSM extraction efficiency values. A quadratic polynomial regression fitting was performed on the extracted effect values ​​based on multiple response surfaces to obtain a mathematical prediction model for the extraction effect. The optimal parameter set is obtained by searching the mathematical prediction model based on the extraction effect.

[0012] Optionally, the separation of active ingredients from the raw material mixed powder based on the optimal process parameter set, enzymatic hydrolysis reaction chamber, two-phase extraction preparation chamber, and centrifuge to obtain a phase-separated solution includes: The raw material mixture powder is transferred to the enzymatic hydrolysis reaction chamber to obtain the mixed powder to be enzymatically hydrolyzed. The enzymatic hydrolysis reaction chamber includes the optimal extraction enzyme and heating equipment. The enzymatic hydrolysis temperature and duration are obtained based on the optimal set of process parameters. The parameters of the enzymatic hydrolysis reaction chamber are set according to the enzymatic hydrolysis temperature and enzymatic hydrolysis time to obtain the target enzymatic hydrolysis reaction chamber. The target enzymatic hydrolysis reaction chamber was used to enzymatically hydrolyze the mixed powder to be hydrolyzed, and a preliminary enzymatic hydrolysis solution was obtained. The preliminary enzymatic hydrolysis solution is transferred to the two-phase extraction preparation chamber to obtain the solution to be extracted, wherein the two-phase extraction preparation chamber contains an optimal aqueous two-phase system; Based on the optimal set of process parameters and the two-phase extraction preparation chamber, the solution to be extracted is extracted to obtain an extraction mixture solution. The two-phase extraction preparation chamber is set with extraction temperature and extraction time. The extraction mixture is cooled to obtain a cooled mixture. The cooled mixed solution was centrifuged to obtain a phase-separated solution.

[0013] Optionally, the step of extracting components from the phase-separated solution using a visual positioning device and a solution extraction probe to obtain effective active ingredients includes: The separation liquid level of the phase separation solution is identified using a visual positioning device to obtain the length of the upper phase liquid column. Obtain the cross-sectional area and unit extraction flow rate of the solution extraction probe; The upper phase extraction time is calculated based on the cross-sectional area, unit extraction flow rate, and upper phase column length. Solution extraction is then performed based on the upper phase extraction time and the solution extraction probe to obtain the effective active ingredient.

[0014] To achieve the above objectives, the present invention also provides an active ingredient extraction and purification system based on Xiaoshen Formula, comprising: The process optimization module is used to obtain the raw material group of ingredients based on the preset kidney-clearing formula function, optimize the extraction process of the raw material group of ingredients, and obtain the optimal extraction enzyme and the optimal aqueous two-phase system. The raw material group of ingredients includes one or more raw materials. An extraction device construction module is used to optimize the response surface based on the optimal extraction enzyme and the optimal aqueous two-phase system to obtain the optimal set of process parameters and construct an automated extraction device. The automated extraction device includes a storage bin, a robotic arm, and a sample transfer track. The storage bin contains the component raw material group, and the sample transfer track includes an enzymatic hydrolysis reaction chamber, a two-phase extraction preparation chamber, a centrifuge, a visual positioning device, and a solution extraction probe. The active solution separation module is used to extract the raw material group from the storage bin using a robotic arm, crush and mix the raw material group to obtain raw material mixed powder, and separate the active ingredients of the raw material mixed powder based on the optimal process parameter set, enzymatic reaction chamber, two-phase extraction preparation chamber and centrifuge to obtain phase separation solution; The active ingredient extraction module is used to extract components from the phase-separated solution using a visual positioning device and a solution extraction probe to obtain effective active ingredients.

[0015] To address the above problems, the present invention also provides an electronic device, the electronic device comprising: Memory, storing at least one instruction; The processor executes the instructions stored in the memory to implement the above-described method for extracting and purifying the active ingredients based on the Xiaoshen formula.

[0016] To address the aforementioned problems, the present invention also provides a computer-readable storage medium storing at least one instruction, which is executed by a processor in an electronic device to implement the above-described method for extracting and purifying the active ingredients based on Xiaoshenfang.

[0017] To address the problems described in the background art, this invention first optimizes the extraction process of the raw material components to obtain the optimal extraction enzyme and the optimal aqueous two-phase system. This step, by introducing a process optimization combining enzymatic hydrolysis and aqueous two-phase extraction, enables more efficient and gentler extraction of target active ingredients from complex traditional Chinese medicine components. This effectively solves the problems of low extraction efficiency and potential damage to heat-sensitive components associated with traditional methods. Furthermore, this solution overcomes the limitations of traditional process parameter setting, which relies on experience and lacks systematic optimization. Through a combination of single-factor experiments and response surface methodology, key process parameters that significantly influence extraction efficiency are screened and precisely optimized, resulting in the optimal set of process parameters. This greatly improves the stability, repeatability, and consistency of the final product quality of the entire extraction process. Importantly, this solution integrates a storage silo, a robotic arm, and... The automated extraction device, featuring a sample transfer track and multiple functional chambers, integrates the dispersed, manual processes of traditional Chinese medicine extraction into a continuous, automated production line. This solves the problems of low production efficiency, large human error, and poor batch-to-batch consistency in the traditional method, thus improving the automation level of extraction. Finally, this solution uses a visual positioning device and a solution extraction probe to extract components from the phase-separated solution, obtaining the effective active ingredients. This step uses a visual positioning device and a solution extraction probe to replace the traditional method of manually observing the liquid level and manually extracting the solution. It can automatically and accurately identify the liquid-liquid interface position after the two aqueous phases are separated, and quantitatively calculate and extract all the upper phase solution. This achieves high-precision, fully automated collection of the target active ingredients, avoiding errors introduced by manual operation in liquid level judgment and extraction volume control. Therefore, this invention can improve the extraction efficiency and automation level of the target active ingredients and reduce the risk of damage to heat-sensitive components. Attached Figure Description

[0018] Figure 1 This is a schematic flowchart of a method for extracting and purifying the active ingredients based on Xiaoshen Formula according to an embodiment of the present invention; Figure 2 This is a functional block diagram of an active ingredient extraction and purification system based on Xiaoshenfang provided in an embodiment of the present invention; Figure 3 This is a schematic diagram of an electronic device for implementing the active ingredient extraction and purification method based on Xiaoshenfang, according to an embodiment of the present invention.

[0019] Explanation of reference numerals in the attached figures: 10. Electronic device; 11. Processor; 12. Memory; 13. Bus.

[0020] The realization of the objective, functional features and advantages of the present invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0021] It should be understood that the specific embodiments described herein are merely for explaining the present invention and are not intended to limit the present invention.

[0022] An embodiment of the present application provides a method for extracting and purifying active ingredients based on Xiaoshen Decoction. The execution subject of the method for extracting and purifying active ingredients based on Xiaoshen Decoction includes, but is not limited to, at least one of electronic devices such as a server, a terminal, etc. that can be configured to execute the method provided in the embodiment of the present application. In other words, the method for extracting and purifying active ingredients based on Xiaoshen Decoction can be executed by software or hardware installed on a terminal device or a server device, and the software can be a blockchain platform. The server includes, but is not limited to: a single server, a server cluster, a cloud server, or a cloud server cluster, etc.

[0023] Refer to Figure 1 As shown, it is a schematic flowchart of a method for extracting and purifying active ingredients based on Xiaoshen Decoction provided by an embodiment of the present invention. In this embodiment, the method for extracting and purifying active ingredients based on Xiaoshen Decoction includes: S1. Based on a preset function of Xiaoshen Decoction, obtain a group of component raw materials, optimize the types of extraction processes for the group of component raw materials, and obtain an optimal extraction enzyme and an optimal aqueous two-phase system, where the group of component raw materials includes one or more component raw materials.

[0024] It can be understood that the function of Xiaoshen Decoction refers to the expected efficacy of a traditional Chinese medicine prescription artificially set to regulate kidney-related symptoms. The group of component raw materials refers to a collection of one or more component raw materials, where the component raw material refers to traditional Chinese medicinal materials determined according to the function of Xiaoshen Decoction and having corresponding efficacy. For example: if the function of Xiaoshen Decoction is to nourish kidney yin, the corresponding component raw materials are Rehmannia glutinosa, Cornus officinalis, Dioscorea opposita, etc. The optimal extraction enzyme refers to an enzyme that has the best extraction effect on the group of component raw materials, and the optimal aqueous two-phase system refers to a combined system of inorganic salts and ethanol that has the best extraction effect on the group of component raw materials. The traditional method for extracting active ingredients is achieved through methods such as extraction with a single solvent (such as hot water, ethanol), reflux, etc. However, this method has problems such as low extraction efficiency, poor selectivity, and possible damage to thermosensitive active ingredients. Therefore, this solution introduces an extraction process optimization method combining enzymatic hydrolysis and aqueous two-phase extraction. Through this method, it is possible to extract target active ingredients from a complex group of component raw materials more efficiently and gently, and optimize process parameters through mathematical modeling to improve the stability of the entire extraction process.

[0025] Specifically, the optimization of the types of extraction processes for the group of component raw materials to obtain an optimal extraction enzyme and an optimal aqueous two-phase system includes: Set a group of inorganic salt types and a group of dissolving enzyme types, where the group of inorganic salt types includes multiple inorganic salt types, and the group of dissolving enzyme types includes multiple dissolving enzyme types; Perform the following operation on each inorganic salt in the inorganic salt group: Inorganic salt compounds are obtained based on the types of inorganic salts; The extraction effect of compounds was analyzed based on the raw material group, inorganic salt compound group, and soluble enzyme type group to obtain the extraction effect value group. The extraction effect value group includes multiple extraction effect values, and the extraction effect values ​​correspond one-to-one with the soluble enzyme type. Summarize the extraction effect value groups corresponding to each inorganic salt type to obtain the extraction effect value group set; The optimal extraction species were selected based on the extraction effect value set, resulting in the optimal extraction enzyme and the optimal aqueous two-phase system.

[0026] It should be explained that the "inorganic salt group" refers to a collection of multiple inorganic salt types. These inorganic salt types are artificially defined salts used to form an aqueous two-phase extraction system with anhydrous ethanol. These inorganic salt types can be obtained by consulting relevant literature or based on the composition of common aqueous two-phase systems. Optionally, these inorganic salt types include potassium phosphate, ammonium sulfate, and sodium citrate. The "dissolving enzyme group" refers to a collection of multiple dissolving enzyme types. These dissolving enzyme types are artificially defined enzymes capable of hydrolyzing cell wall components (such as cellulose, pectin, and hemicellulose) of medicinal plants to promote the release of intracellular active ingredients. These dissolving enzyme types can be obtained by consulting enzymatic extraction literature, such as cellulase, pectinase, and hemicellulase. The "inorganic salt compound" refers to the specific chemical entity corresponding to the inorganic salt type. The extraction effect value set refers to a collection of multiple extraction effect values. Each extraction effect value is a quantitative score calculated after an extraction experiment on the raw material component under specific conditions of a certain combination of inorganic salt and soluble enzyme. A higher extraction effect value indicates a better extraction effect of the specific combination of inorganic salt and soluble enzyme on the raw material component. The specific method for selecting the optimal extraction type, optimal extraction enzyme, and optimal aqueous two-phase system based on the extraction effect value set is as follows: Identify the extraction effect value with the highest value in the extraction effect value set, and record the inorganic salt and soluble enzyme corresponding to the highest value as the optimal extraction enzyme and optimal aqueous two-phase system, respectively.

[0027] In detail, the analysis of compound extraction effects based on the component raw material group, inorganic salt compound and dissolving enzyme type group, to obtain the extraction effect value group, includes: The target aqueous two-phase system was prepared based on inorganic salt compounds, wherein the target aqueous two-phase system includes: inorganic salt compounds and anhydrous ethanol; Perform the following operation for each lysozyme in the lysozyme group: Obtain the target lysozyme based on the type of lysozyme; Based on the composition of the raw material group, a raw material sample group is obtained, and the raw material sample group is crushed and mixed to obtain a mixed material sample; The active ingredient content of the mixed material sample was obtained by using the target dissolving enzyme and the target aqueous two-phase system to perform active ingredient extraction tests. By summarizing the target active ingredient content groups for each type of lysozyme, a target active ingredient content group set is obtained; The extraction effect value group is calculated based on the target active ingredient content group.

[0028] It should be explained that the target aqueous two-phase system refers to a combination of inorganic salt compounds and anhydrous ethanol. The target aqueous two-phase system is constructed as follows: a phase diagram of the inorganic salt compounds and anhydrous ethanol is constructed, and the mass fraction ratio of the inorganic salt compounds to anhydrous ethanol is determined based on the phase diagram. The target aqueous two-phase system is then constructed according to this mass fraction ratio. The phase diagram is constructed as follows: a salt solution of the inorganic salt compounds is obtained, and anhydrous ethanol is added to the salt solution until the solution changes from a transparent state to a turbid state. The volume of anhydrous ethanol added is recorded. Then, deionized water is added to the salt solution until the turbid solution becomes transparent again, and the volume of deionized water added is recorded. This process is repeated to obtain phase transition data (i.e., the volume of anhydrous ethanol and the volume of deionized water added) for multiple salt solutions of different concentrations. A phase diagram is then drawn based on this phase transition data. The drawing of the phase diagram is a prior art technique and will not be elaborated further here. The target dissolving enzyme refers to the enzyme solution corresponding to the type of dissolving enzyme. The raw material sample group refers to a combination of samples corresponding to the component raw material group, obtained artificially, used for subsequent extraction experiments. The mixed material sample refers to a mixture of all raw material samples after being crushed and mixed, which can be done by mechanical grinding and sieving. The target active ingredient content group refers to a collection of multiple target active ingredient contents; the specific method for obtaining the target active ingredient contents will be given in subsequent embodiments.

[0029] In detail, the method of using the target dissolving enzyme and the target aqueous two-phase system to extract and test the active ingredients of the mixed material sample to obtain the target active ingredient content group includes: The target lysin, the pre-set buffer solution, and the mixed material sample are mixed evenly to obtain a preliminary mixed solution; The preliminary mixed solution was heated in a water bath, and the target aqueous two-phase system was added during the water bath heating process to obtain a heated mixed solution; The heated mixed solution was sequentially cooled to room temperature and then centrifuged to obtain the target supernatant. Identify the target active ingredient group, which includes multiple target active ingredients; The content of active ingredients in the target supernatant was determined based on the target active ingredient group to obtain the target active ingredient content group. The target active ingredient content group includes the content of multiple target active ingredients, and the content of each target active ingredient corresponds one-to-one with the target active ingredient.

[0030] It is understood that the preliminary mixed solution refers to the mixed solution of the target lysing enzyme, buffer solution, and mixed material sample after uniform mixing. The uniform mixing method can be selected from vortexing, magnetic stirring, or ultrasonic treatment, etc. The buffer solution refers to a solution that can resist the addition of small amounts of acid, alkali, or dilution while maintaining its pH value essentially unchanged. This buffer solution is used to provide and maintain an optimal and stable pH environment for the enzymatic reaction to ensure the activity of the target lysing enzyme. Optionally, the buffer solution is a phosphate buffer or citrate buffer. The heated mixed solution refers to the preliminary mixed solution after water bath heating and the addition of the target aqueous two-phase system. The target supernatant refers to the clear liquid portion located at the top of the centrifuge tube after cooling and centrifuging the heated mixed solution. This target supernatant contains the target active ingredient group dissolved in the upper phase (i.e., the alcohol phase) of the aqueous two-phase system.

[0031] For example, the target lysin, buffer solution, and mixed material sample are placed in a centrifuge tube, mixed thoroughly, and then the centrifuge tube is placed in a 40°C water bath for heating to allow the target lysin to function. After the target lysin has dissolved for a period of time (e.g., 60 min), the target aqueous two-phase system is added to the centrifuge tube. This target aqueous two-phase system consists of 10% (NH4)2SO4 and 35% anhydrous ethanol. After adding the target aqueous two-phase system, the heating continues in the water bath for 30 min. After heating, the mixture is cooled to room temperature and separated by centrifugation to obtain the target supernatant.

[0032] Understandably, the target active ingredient group refers to a collection of multiple active ingredients that need to be extracted from the raw material group, such as flavonoids (e.g., verbascoside) and saponins (e.g., ginsenosides). The target active ingredient content group refers to the collection of the contents of each target active ingredient in the target supernatant. The active ingredient content is determined by using analytical chemistry methods such as high performance liquid chromatography (HPLC) and ultraviolet-visible spectrophotometry (UV-Vis) to detect the target supernatant, and by comparing it with standards of known concentrations, the specific content of each target active ingredient is calculated.

[0033] Specifically, the calculation of the extraction effect value set based on the target active ingredient content set includes: The target active ingredient content set is divided according to the target active ingredient group to obtain multiple active ingredient content sets of the same type. Each active ingredient content set of the same type corresponds one-to-one with the target active ingredient. The average active ingredient content group is obtained by averaging multiple sets of similar active ingredient content. For each target active ingredient content group in the target active ingredient content group set based on the average active ingredient content group, the following operation is performed: The extraction efficiency value was calculated using the average active ingredient content group and the target active ingredient content group. Summarize the extracted effect values ​​to obtain the extracted effect value group.

[0034] It should be explained that the "same type of active ingredient content set" refers to the collection of all target active ingredient contents belonging to the same target active ingredient. For example, a target active ingredient content set might be: [{A: 10 mg / g, B: 5 mg / g, C: 2 mg / g}, {A: 12 mg / g, B: 4 mg / g, C: 3 mg / g}, {A: 8 mg / g, B: 6 mg / g, C: 2.5 mg / g}]. This target active ingredient content set contains three target active ingredient content groups, each containing the target active ingredient contents of target active ingredients A, B, and C. Therefore, the same type of active ingredient content set for target active ingredient A is [10, 12, 8] (unit: mg / g). The "average active ingredient content set" refers to a collection of multiple average active ingredient contents, where the average active ingredient content is the average value of all same type of active ingredient contents within a certain same type of active ingredient content set.

[0035] Specifically, the calculation of the extraction effect value using the average active ingredient content group and the target active ingredient content group includes: The extraction effect value is calculated based on the following formula: ; in, This indicates the extracted effect value. Indicates the quantity of the target active ingredient in the target active ingredient group. Indicates the first in the preset target active ingredient group Weighting coefficients for each target active ingredient. Indicates the first group in the target active ingredient content group Content of each target active ingredient Indicates the number of groups with average active ingredient content Average content of active ingredients.

[0036] It is clear that the weighting coefficient refers to a numerical value representing the importance of a certain target active ingredient in the target active ingredient group. This weighting coefficient is set as follows: based on the theory of traditional Chinese medicine formulas, the "principal, assistant, adjuvant, and guide" roles of each target active ingredient in the kidney-clearing formula are analyzed, and the weighting coefficient is set according to these roles. For example, the target active ingredient corresponding to the principal ingredient is assigned the highest weighting coefficient (e.g., set to 0.5), the target active ingredient corresponding to the assistant ingredient has the next highest weighting coefficient (e.g., 0.3), and the target active ingredients corresponding to the adjuvant and guide ingredients have the next lowest weighting coefficients (e.g., all set to 0.2). In the above formula for calculating the extraction effect value, The term indicates the first For a given target active ingredient, the increase in the content of the target active ingredient relative to the average active ingredient content under specific extraction conditions (i.e., the target lysin and the target aqueous two-phase system) is considered. A larger value indicates that the specific extraction conditions significantly improve the content of the target active ingredient. The stronger the relative extraction ability of a target active ingredient, the greater the extraction effect value.

[0037] S2. Response surface optimization was performed based on the optimal extraction enzyme and the optimal aqueous two-phase system to obtain the optimal set of process parameters.

[0038] Understandably, the optimal process parameter set refers to the set of values ​​of each parameter in the extraction process (i.e., the subsequent set of process parameter types to be optimized) obtained after response surface optimization.

[0039] In detail, the optimal process parameter set obtained by response surface optimization based on the optimal extraction enzyme and the optimal aqueous two-phase system includes: Set a set of process parameter types to be optimized, which includes multiple process parameter types to be optimized; The types of process parameters to be optimized are extracted sequentially from the set of process parameters to be optimized. Single-factor extraction experiments are conducted on the extracted process parameters using the optimal extraction enzyme and the optimal aqueous two-phase system to obtain a set of single-factor extraction effect values. Calculate the correlation of univariate extraction based on the set of univariate extraction effect values; Summarize the correlations extracted from single factors to obtain the correlation set extracted from single factors; Based on the preset correlation threshold and single-factor extraction of correlation sets, the target optimization parameter set is identified in the set of process parameter types to be optimized. Response surface design is carried out based on the target optimization parameter type set, resulting in multiple response surface test conditions. Each response surface test condition contains multiple test parameters, and the test parameters correspond one-to-one with the target optimization parameter type. Compound extraction experiments were conducted under multiple response surface methodology (RSM) conditions to obtain multiple RSM extraction efficiency values. A quadratic polynomial regression fitting was performed on the extracted effect values ​​based on multiple response surfaces to obtain a mathematical prediction model for the extraction effect. The optimal parameter set is obtained by searching the mathematical prediction model based on the extraction effect.

[0040] It should be explained that the set of process parameters to be optimized refers to a collection of multiple types of process parameters to be optimized. These types of process parameters refer to the parameters that need to be set in the extraction process, such as: buffer solution pH, enzymatic hydrolysis temperature, enzymatic hydrolysis time, extraction temperature, extraction time, enzyme dosage, and solid-liquid ratio. The set of single-factor extraction effect values ​​refers to a collection of multiple single-factor extraction effect values. These single-factor extraction effect values ​​refer to the extraction effect values ​​calculated after an extraction experiment on a particular type of process parameter to be optimized. The specific method for conducting single-factor extraction experiments on the extracted types of process parameters to be optimized is as follows: Specific numerical values ​​are set for each type of parameter to be optimized, resulting in multiple candidate values. These candidate values ​​can be set using values ​​recorded during historical extraction processes. Then, an extraction experiment is conducted for each of the multiple candidate values ​​(in each extraction experiment, the values ​​corresponding to the other types of process parameters to be optimized remain unchanged, except for the candidate values). The specific implementation process of this extraction experiment is the same as the calculation process of the extraction effect value described above. After completing this extraction experiment, a single-factor extraction effect value is obtained. The single-factor extraction effect values ​​corresponding to all extraction experiments constitute the single-factor extraction effect value set.

[0041] Furthermore, the single-factor extraction correlation refers to the numerical value that quantifies the impact of changes in the values ​​of the types of process parameters to be optimized on the extraction effect. The larger the single-factor extraction correlation, the greater the impact of changes in the values ​​of the types of process parameters to be optimized on the extraction effect. The calculation method for the single-factor extraction correlation is: calculating the Pearson correlation coefficient between the single-factor extraction effect value set and multiple candidate values; this Pearson correlation coefficient is the single-factor extraction correlation. The correlation threshold refers to the critical value used to screen out the types of process parameters to be optimized that have a significant impact on the extraction effect. When the single-factor extraction correlation is greater than this correlation threshold, it indicates that the impact of the type of process parameter to be optimized on the final extraction effect is significant enough and it should be selected for subsequent response surface optimization. The correlation threshold is set by: calculating the average value of the single-factor extraction correlation set (denoted as...). ) and variance (denoted as If the correlation threshold is , then the correlation threshold is . ,in, This represents the correlation threshold. The target optimization parameter type set refers to a collection of multiple target optimization parameter types, where the single-factor correlation extraction corresponds to the type of process parameter to be optimized if the target optimization parameter type index value is greater than the correlation threshold.

[0042] Importantly, the response surface experimental conditions refer to a set of numerical values ​​composed of multiple experimental parameters. Response surface design based on the set of target optimization parameter types refers to: using experimental design methods to set a series of regularly combined numerical levels (usually high, medium, and low levels) for each target optimization parameter type in the target optimization parameter type set, thereby generating an experimental scheme that can effectively explore the interaction between various target optimization parameter types and their impact on the response value (i.e., the extracted effect value). For example, if the target optimization parameter set is {enzymatic hydrolysis temperature (denoted as X1), enzymatic hydrolysis time (denoted as X2)}, and a Box-Behnken design is used, with three levels for X1 (45℃, 50℃, 55℃) and three levels for X2 (60min, 90min, 120min), then the designed response surface experimental conditions include: (X1=45℃, X2=90min), (X1=55℃, X2=90min), (X1=50℃, X2=60min), (X1=50℃, X2=120min), and (X1=50℃, X2=90min), etc.

[0043] It is clear that the response surface extraction effect value refers to the extraction effect value obtained under a certain response surface experimental condition. The specific method of conducting compound extraction experiments based on multiple response surface experimental conditions is as follows: extract the response surface experimental conditions sequentially from multiple response surface experimental conditions, conduct an extraction experiment on the raw material group under the response surface experimental condition, and record the extraction effect value obtained from the extraction experiment as the response surface extraction effect value. For the types of process parameters to be optimized that are not set in the response surface experimental conditions (i.e., the single-factor extraction correlation corresponding to the type of process parameter to be optimized is not greater than the correlation threshold), the average value of the historical extraction process is used instead. The response surface extraction effect values ​​corresponding to each response surface experimental condition are summarized to obtain multiple response surface extraction effect values. The extraction effect mathematical prediction model refers to a mathematical equation obtained after fitting a quadratic polynomial regression, used to describe the quantitative relationship between multiple target optimization parameter types (independent variables) and extraction effect values ​​(response variables). The aforementioned quadratic polynomial regression fitting based on multiple response surface extraction effect values ​​refers to: using the experimental parameters in multiple response surface experimental conditions as independent variables and the corresponding response surface extraction effect values ​​as dependent variables, and using methods such as least squares to fit a quadratic polynomial equation containing linear, quadratic, and interaction terms of the independent variables. Optimal parameter search based on the extraction effect mathematical prediction model refers to: solving the extraction effect mathematical prediction model by differentiation, traversal, or using optimization algorithms (such as hill climbing algorithms or genetic algorithms) to find the specific numerical combination corresponding to each independent variable (i.e., each target optimization parameter type) that maximizes the predicted extraction effect value; this numerical combination is the optimal set of process parameters.

[0044] S3. Construct an automated extraction device, which includes: a storage bin, a robotic arm, and a sample transfer track. The storage bin contains a raw material group, and the sample transfer track includes: an enzymatic reaction chamber, a two-phase extraction preparation chamber, a centrifuge, a visual positioning device, and a solution extraction probe.

[0045] It should be explained that the automated extraction device refers to a comprehensive device capable of highly automated extraction of active ingredients from a raw material group. The storage silo refers to a storage compartment for storing and supplying various Chinese medicinal materials from the raw material group. The robotic arm refers to a multi-degree-of-freedom automated robotic arm used to automatically grasp, transfer, and place materials between the various functional modules of the automated extraction device, such as retrieving the raw material group from the storage silo. The sample transfer track refers to an automated conveyor belt connecting and sequentially passing through core processing units such as the enzymatic hydrolysis reaction chamber, the two-phase extraction preparation chamber, and the centrifuge. The enzymatic hydrolysis reaction chamber refers to a sealed reaction vessel equipped with temperature control, stirring, and feeding functions, such as a thermostatic reactor with a built-in heating coil. The two-phase extraction preparation chamber refers to a reaction vessel used for two-phase aqueous extraction, such as a mixing tank with a precision metering pump, stirrer, and temperature control module. The centrifuge refers to an industrial centrifuge used for cooling mixed solutions during centrifugation. The visual positioning device refers to an image positioning system incorporating an industrial CCD camera. This device is used to acquire images of the phase-separated solution, obtain the acquired images, and accurately identify the liquid-liquid interface position (i.e., the length of the upper phase liquid column) between the upper phase (the alcohol phase containing the target active ingredient) and the lower phase in the acquired images using image processing algorithms. The solution extraction probe refers to a precisely positioned and movable liquid aspiration device, such as one connected to a precision syringe pump. This solution extraction probe is used to extract the upper phase solution at a constant unit extraction flow rate, thereby obtaining a phase-separated solution containing the target active ingredient.

[0046] S4. Use a robotic arm to extract the raw material group from the storage bin, crush and mix the raw material group to obtain raw material mixed powder.

[0047] Understandably, the raw material assembly refers to the collection of individual component raw materials weighed out of the storage silo by a robotic arm. The raw material mixed powder refers to the mixed powder of the raw material assembly after being pulverized.

[0048] S5. Based on the optimal process parameter set, enzymatic reaction chamber, two-phase extraction preparation chamber and centrifuge, the active ingredients of the raw material mixed powder are separated to obtain a phase-separated solution.

[0049] It is clear that the phase-separated solution refers to the solution containing the target active ingredient obtained after separation of the active ingredient.

[0050] In detail, the process of separating the active ingredients from the raw material mixed powder using an optimal set of process parameters, an enzymatic hydrolysis reaction chamber, a two-phase extraction preparation chamber, and a centrifuge to obtain a phase-separated solution includes: The raw material mixture powder is transferred to the enzymatic hydrolysis reaction chamber to obtain the mixed powder to be enzymatically hydrolyzed. The enzymatic hydrolysis reaction chamber includes the optimal extraction enzyme and heating equipment. The enzymatic hydrolysis temperature and duration are obtained based on the optimal set of process parameters. The parameters of the enzymatic hydrolysis reaction chamber are set according to the enzymatic hydrolysis temperature and enzymatic hydrolysis time to obtain the target enzymatic hydrolysis reaction chamber. The target enzymatic hydrolysis reaction chamber was used to enzymatically hydrolyze the mixed powder to be hydrolyzed, and a preliminary enzymatic hydrolysis solution was obtained. The preliminary enzymatic hydrolysis solution is transferred to the two-phase extraction preparation chamber to obtain the solution to be extracted, wherein the two-phase extraction preparation chamber contains an optimal aqueous two-phase system; Based on the optimal set of process parameters and the two-phase extraction preparation chamber, the solution to be extracted is extracted to obtain an extraction mixture solution. The two-phase extraction preparation chamber is set with extraction temperature and extraction time. The extraction mixture is cooled to obtain a cooled mixture. The cooled mixed solution was centrifuged to obtain a phase-separated solution.

[0051] It should be explained that the "powder to be enzymatically hydrolyzed" refers to the raw material powder mixture transferred to the enzymatic hydrolysis reaction chamber. The enzymatic hydrolysis temperature and duration refer to the temperature and duration used in the optimal process parameter set to guide the subsequent enzymatic hydrolysis in the target enzymatic hydrolysis reaction chamber. The target enzymatic hydrolysis reaction chamber refers to the enzymatic hydrolysis reaction chamber after parameter settings. The preliminary enzymatic hydrolysis solution refers to the mixed solution of the raw material powder mixture after enzymatic hydrolysis and the optimal extraction enzyme. The specific process of enzymatically hydrolyzing the powder to be enzymatically hydrolyzed using the target enzymatic hydrolysis reaction chamber is as follows: In the target enzymatic hydrolysis reaction chamber, the powder to be enzymatically hydrolyzed is mixed with the optimal extraction enzyme solution and a buffer solution to obtain a mixed enzymatic hydrolysis solution. The heating and stirring functions in the target enzymatic hydrolysis reaction chamber are then activated to maintain the mixed enzymatic hydrolysis solution at the set enzymatic hydrolysis temperature and continuously stir until the set enzymatic hydrolysis duration is reached, thereby completing the enzymatic hydrolysis reaction and obtaining the preliminary enzymatic hydrolysis solution. The solution to be extracted refers to the preliminary enzymatic hydrolysis solution added to the two-phase extraction preparation chamber. The extraction temperature and extraction duration refer to the temperature and duration used in the optimal process parameter set to guide the extraction in the two-phase extraction preparation chamber. The specific extraction process based on the optimal process parameter set and the two-phase extraction preparation chamber is as follows: In the two-phase extraction preparation chamber, inorganic salt compounds and anhydrous ethanol are added to the solution to be extracted in the proportion determined by the optimal aqueous two-phase system to obtain a mixed extraction solution. The heating and mixing functions in the two-phase extraction preparation chamber are then activated to maintain the mixed extraction solution at a constant temperature and stir thoroughly until the set extraction time is reached, thereby obtaining the mixed extraction solution. The cooled mixed solution refers to the extraction mixed solution after cooling.

[0052] S6. Using a visual positioning device and a solution extraction probe, extract components from the phase separation solution to obtain effective active ingredients. Based on these effective active ingredients, complete the extraction and purification of active ingredients based on the Xiaoshen formula.

[0053] It is understood that the effective active ingredient refers to an extract solution containing multiple target active ingredients from the target active ingredient group, which is separated from the phase separation solution after being processed by an automated device.

[0054] In detail, the step of extracting components from the phase-separated solution using a visual positioning device and a solution extraction probe to obtain effective active ingredients includes: The separation liquid level of the phase separation solution is identified using a visual positioning device to obtain the length of the upper phase liquid column. Obtain the cross-sectional area and unit extraction flow rate of the solution extraction probe; The upper phase extraction time is calculated based on the cross-sectional area, unit extraction flow rate, and upper phase column length. Solution extraction is then performed based on the upper phase extraction time and the solution extraction probe to obtain the effective active ingredient.

[0055] It should be explained that the upper phase liquid column length refers to the vertical distance between the liquid surface of the upper phase solution and the interface with the lower phase solution in the separation solution tube (i.e., the container carrying the phase separation solution). The specific method for identifying the separation liquid level of the phase separation solution based on the aforementioned visual positioning device is as follows: A side image of the separation solution tube is acquired through the visual positioning device. The side image is preprocessed (e.g., grayscale conversion, filtering and noise reduction). Then, an edge detection algorithm is used to identify the container wall, the gas-liquid interface (the uppermost liquid surface), and the liquid-liquid interface (the interface between the upper and lower phases) in the preprocessed side image. The actual distance between the gas-liquid interface and the liquid-liquid interface is calculated through pixel calibration; this actual distance is the upper phase liquid column length. The unit extraction flow rate refers to the constant volume of liquid extracted by the solution extraction probe per unit time. The upper phase extraction time refers to the time required for the solution extraction probe to continuously extract the upper phase solution to ensure that all the upper phase solution is completely absorbed. The specific calculation method for the upper phase extraction time is as follows: ,in, Indicates the time taken for the upper phase extraction. Indicates the length of the upper phase liquid column. Represents the cross-sectional area. This indicates the unit extraction flow rate.

[0056] To address the problems described in the background art, this invention first optimizes the extraction process of the raw material components to obtain the optimal extraction enzyme and the optimal aqueous two-phase system. This step, by introducing a process optimization combining enzymatic hydrolysis and aqueous two-phase extraction, enables more efficient and gentler extraction of target active ingredients from complex traditional Chinese medicine components. This effectively solves the problems of low extraction efficiency and potential damage to heat-sensitive components associated with traditional methods. Furthermore, this solution overcomes the limitations of traditional process parameter setting, which relies on experience and lacks systematic optimization. Through a combination of single-factor experiments and response surface methodology, key process parameters that significantly influence extraction efficiency are screened and precisely optimized, resulting in the optimal set of process parameters. This greatly improves the stability, repeatability, and consistency of the final product quality of the entire extraction process. Importantly, this solution integrates a storage silo, a robotic arm, and... The automated extraction device, featuring a sample transfer track and multiple functional chambers, integrates the dispersed, manual processes of traditional Chinese medicine extraction into a continuous, automated production line. This solves the problems of low production efficiency, large human error, and poor batch-to-batch consistency in the traditional method, thus improving the automation level of extraction. Finally, this solution uses a visual positioning device and a solution extraction probe to extract components from the phase-separated solution, obtaining the effective active ingredients. This step uses a visual positioning device and a solution extraction probe to replace the traditional method of manually observing the liquid level and manually extracting the solution. It can automatically and accurately identify the liquid-liquid interface position after the two aqueous phases are separated, and quantitatively calculate and extract all the upper phase solution. This achieves high-precision, fully automated collection of the target active ingredients, avoiding errors introduced by manual operation in liquid level judgment and extraction volume control. Therefore, this invention can improve the extraction efficiency and automation level of the target active ingredients and reduce the risk of damage to heat-sensitive components.

[0057] like Figure 2 The diagram shown is a functional block diagram of an active ingredient extraction and purification system based on Xiaoshenfang provided in an embodiment of the present invention.

[0058] The active ingredient extraction and purification system 100 based on Xiaoshen Formula described in this invention can be installed in an electronic device. Depending on the functions implemented, the active ingredient extraction and purification system 100 based on Xiaoshen Formula may include a process optimization module 101, an extraction device construction module 102, an active solution separation module 103, and an active ingredient extraction module 104. The module described in this invention can also be called a unit, referring to a series of computer program segments that can be executed by an electronic device processor and perform a fixed function, stored in the memory of the electronic device. The process type optimization module 101 is used to obtain the component raw material group based on the preset kidney-clearing formula function, optimize the extraction process type of the component raw material group, and obtain the optimal extraction enzyme and the optimal aqueous two-phase system. The component raw material group includes one or more component raw materials. The extraction device construction module 102 is used to perform response surface optimization based on the optimal extraction enzyme and the optimal aqueous two-phase system to obtain the optimal set of process parameters and construct an automated extraction device. The automated extraction device includes a storage bin, a robotic arm and a sample transfer track. The storage bin contains a component raw material group and the sample transfer track includes an enzymatic hydrolysis reaction chamber, a two-phase extraction preparation chamber, a centrifuge, a visual positioning device and a solution extraction probe. The active solution separation module 103 is used to extract the raw material group from the storage bin using a robotic arm, crush and mix the raw material group to obtain raw material mixed powder, and separate the active ingredients of the raw material mixed powder based on the optimal process parameter set, enzymatic reaction chamber, two-phase extraction preparation chamber and centrifuge to obtain phase separation solution. The active ingredient extraction module 104 is used to extract components from the phase separation solution according to the visual positioning device and the solution extraction probe to obtain effective active ingredients.

[0059] In detail, the modules in the active ingredient extraction and purification system 100 based on the kidney-clearing formula described in this embodiment of the invention employ the same methods as described above during use. Figure 1 The method used is the same as the extraction and purification method of the active ingredients based on the kidney-clearing formula described in the text, and can produce the same technical effect, so it will not be repeated here.

[0060] like Figure 3 The diagram shown is a schematic representation of an electronic device for implementing a method for extracting and purifying the active ingredients of Xiaoshenfang, according to an embodiment of the present invention.

[0061] The electronic device 1 may include a processor 10, a memory 11 and a bus 12, and may also include a computer program stored in the memory 11 and capable of running on the processor 10, such as a method program for extracting and purifying the active ingredients based on Xiaoshenfang.

[0062] The memory 11 includes at least one type of readable storage medium, including flash memory, portable hard drive, multimedia card, card-type memory (e.g., SD or DX memory), magnetic memory, disk, optical disk, etc. In some embodiments, the memory 11 can be an internal storage unit of the electronic device 1, such as a portable hard drive. In other embodiments, the memory 11 can be an external storage device of the electronic device 1, such as a plug-in portable hard drive, smart media card (SMC), secure digital card (SD), flash card, etc., equipped on the electronic device 1. Furthermore, the memory 11 includes both internal and external storage units of the electronic device 1. The memory 11 can be used not only to store application software and various types of data installed on the electronic device 1, such as code for a method for extracting and purifying the active ingredients of a kidney-clearing formula, but also to temporarily store data that has been output or will be output.

[0063] In some embodiments, the processor 10 may be composed of integrated circuits, such as a single packaged integrated circuit or multiple integrated circuits packaged with the same or different functions, including combinations of one or more central processing units (CPUs), microprocessors, digital processing chips, graphics processors, and various control chips. The processor 10 is the control unit of the electronic device, connecting various components of the entire electronic device through various interfaces and lines. It executes programs or modules stored in the memory 11 (e.g., a method program for extracting and purifying the active ingredients of Xiaoshen Fang), and calls data stored in the memory 11 to perform various functions of the electronic device 1 and process data.

[0064] The bus 12 can be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus, etc. The bus 12 can be divided into an address bus, a data bus, a control bus, etc. The bus 12 is configured to realize the connection and communication between the memory 11 and at least one processor 10, etc.

[0065] Figure 3 Only electronic devices with components are shown; it will be understood by those skilled in the art that... Figure 3The structure shown does not constitute a limitation on the electronic device 1, and may include fewer or more components than shown, or combine certain components, or have different component arrangements.

[0066] For example, although not shown, the electronic device 1 may also include a power supply (such as a battery) to power the various components. Preferably, the power supply can be logically connected to the at least one processor 10 through a power management device, thereby enabling functions such as charging management, discharging management, and power consumption management. The power supply may also include one or more DC or AC power supplies, recharging devices, power fault detection circuits, power converters or inverters, power status indicators, and other arbitrary components. The electronic device 1 may also include various sensors, Bluetooth modules, Wi-Fi modules, etc., which will not be described in detail here.

[0067] Furthermore, the electronic device 1 may also include a network interface. Optionally, the network interface may include a wired interface and / or a wireless interface (such as a Wi-Fi interface, a Bluetooth interface, etc.), which is typically used to establish communication connections between the electronic device 1 and other electronic devices.

[0068] Optionally, the electronic device 1 may further include a user interface, which may be a display, an input unit (such as a keyboard), and optionally, a standard wired interface or a wireless interface. Optionally, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, or an OLED (Organic Light-Emitting Diode) touchscreen, etc. The display may also be appropriately referred to as a screen or display unit, used to display information processed in the electronic device 1 and to display a visual user interface.

[0069] The program for extracting and purifying the active ingredients of Xiaoshenfang, stored in the memory 11 of the electronic device 1, is a combination of multiple instructions. When run in the processor 10, it can achieve the following: Based on the preset function of the kidney-clearing formula, the raw material group of ingredients is obtained, and the extraction process of the raw material group is optimized to obtain the optimal extraction enzyme and the optimal aqueous two-phase system. The raw material group of ingredients includes one or more raw materials. Response surface optimization was performed based on the optimal extraction enzyme and the optimal aqueous two-phase system to obtain the optimal set of process parameters. An automated extraction device is constructed, which includes a storage bin, a robotic arm, and a sample transfer track. The storage bin contains a raw material group, and the sample transfer track includes an enzymatic reaction chamber, a two-phase extraction preparation chamber, a centrifuge, a visual positioning device, and a solution extraction probe. A robotic arm is used to extract the raw material group from the storage bin, and the raw material group is crushed and mixed to obtain raw material mixed powder; Based on the optimal set of process parameters, an enzymatic hydrolysis reaction chamber, a two-phase extraction preparation chamber, and a centrifuge, the active ingredients of the raw material mixed powder are separated to obtain a phase-separated solution. The components of the phase-separated solution are extracted using a visual positioning device and a solution extraction probe to obtain effective active ingredients. Based on these effective active ingredients, the extraction and purification of active ingredients based on the Xiaoshen formula are completed.

[0070] Specifically, the processor 10's implementation method for the above instructions can be found in [reference needed]. Figures 1 to 3 The descriptions of the relevant steps in the corresponding embodiments are not repeated here.

[0071] Furthermore, if the modules / units integrated in the electronic device 1 are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. The computer-readable storage medium can be volatile or non-volatile. For example, the computer-readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a portable hard drive, a magnetic disk, an optical disk, a computer memory, or a read-only memory (ROM).

[0072] The present invention also provides a computer-readable storage medium storing a computer program, which, when executed by a processor of an electronic device, can perform the following: Based on the preset function of the kidney-clearing formula, the raw material group of ingredients is obtained, and the extraction process of the raw material group is optimized to obtain the optimal extraction enzyme and the optimal aqueous two-phase system. The raw material group of ingredients includes one or more raw materials. Response surface optimization was performed based on the optimal extraction enzyme and the optimal aqueous two-phase system to obtain the optimal set of process parameters. An automated extraction device is constructed, which includes a storage bin, a robotic arm, and a sample transfer track. The storage bin contains a raw material group, and the sample transfer track includes an enzymatic reaction chamber, a two-phase extraction preparation chamber, a centrifuge, a visual positioning device, and a solution extraction probe. A robotic arm is used to extract the raw material group from the storage bin, and the raw material group is crushed and mixed to obtain raw material mixed powder; Based on the optimal set of process parameters, an enzymatic hydrolysis reaction chamber, a two-phase extraction preparation chamber, and a centrifuge, the active ingredients of the raw material mixed powder are separated to obtain a phase-separated solution. The components of the phase-separated solution are extracted using a visual positioning device and a solution extraction probe to obtain effective active ingredients. Based on these effective active ingredients, the extraction and purification of active ingredients based on the Xiaoshen formula are completed.

[0073] In the embodiments provided by this invention, it should be understood that the disclosed devices, systems, and methods can be implemented in other ways. For example, the system embodiments described above are merely illustrative, and actual implementations may have other classification methods.

[0074] The modules described as separate components may or may not be physically separate. The components shown as modules may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs.

[0075] Furthermore, the functional modules in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or in the form of hardware plus software functional modules.

[0076] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0077] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. A method for extracting and purifying the active ingredients based on Xiaoshen Formula, characterized in that, The method includes: Based on the preset function of the kidney-clearing formula, the raw material group of ingredients is obtained, and the extraction process of the raw material group is optimized to obtain the optimal extraction enzyme and the optimal aqueous two-phase system. The raw material group of ingredients includes one or more raw materials. Response surface optimization was performed based on the optimal extraction enzyme and the optimal aqueous two-phase system to obtain the optimal set of process parameters. An automated extraction device is constructed, which includes a storage bin, a robotic arm, and a sample transfer track. The storage bin contains a raw material group, and the sample transfer track includes an enzymatic reaction chamber, a two-phase extraction preparation chamber, a centrifuge, a visual positioning device, and a solution extraction probe. A robotic arm is used to extract the raw material group from the storage bin, and the raw material group is crushed and mixed to obtain raw material mixed powder; Based on the optimal set of process parameters, an enzymatic hydrolysis reaction chamber, a two-phase extraction preparation chamber, and a centrifuge, the active ingredients of the raw material mixed powder are separated to obtain a phase-separated solution. The components of the phase-separated solution are extracted using a visual positioning device and a solution extraction probe to obtain effective active ingredients. Based on these effective active ingredients, the extraction and purification of active ingredients based on the Xiaoshen formula are completed.

2. The method for extracting and purifying the active ingredients based on the kidney-clearing formula as described in claim 1, characterized in that, The optimization of the extraction process for the component raw materials to obtain the optimal extraction enzyme and the optimal aqueous two-phase system includes: The system includes an inorganic salt group and a lysozyme group, where the inorganic salt group includes multiple inorganic salts and the lysozyme group includes multiple lysozymes. Perform the following operation on each inorganic salt in the inorganic salt group: Inorganic salt compounds are obtained based on the types of inorganic salts; The extraction effect of compounds was analyzed based on the raw material group, inorganic salt compound group, and soluble enzyme type group to obtain the extraction effect value group. The extraction effect value group includes multiple extraction effect values, and the extraction effect values ​​correspond one-to-one with the soluble enzyme type. Summarize the extraction effect value groups corresponding to each inorganic salt type to obtain the extraction effect value group set; The optimal extraction species were selected based on the extraction effect value set, resulting in the optimal extraction enzyme and the optimal aqueous two-phase system.

3. The method for extracting and purifying the active ingredients based on the kidney-clearing formula as described in claim 2, characterized in that, The extraction effect analysis based on the component raw material group, inorganic salt compound and dissolving enzyme type group yields an extraction effect value group, including: The target aqueous two-phase system was prepared based on inorganic salt compounds, wherein the target aqueous two-phase system includes: inorganic salt compounds and anhydrous ethanol; Perform the following operation for each lysozyme in the lysozyme group: Obtain the target lysozyme based on the type of lysozyme; Based on the composition of the raw material group, a raw material sample group is obtained, and the raw material sample group is crushed and mixed to obtain a mixed material sample; The active ingredient content of the mixed material sample was obtained by using the target dissolving enzyme and the target aqueous two-phase system to perform active ingredient extraction tests. By summarizing the target active ingredient content groups for each type of lysozyme, a target active ingredient content group set is obtained; The extraction effect value group is calculated based on the target active ingredient content group.

4. The method for extracting and purifying the active ingredients based on the kidney-clearing formula as described in claim 3, characterized in that, The method of extracting and testing the active ingredients of the mixed material sample using the target dissolving enzyme and the target aqueous two-phase system to obtain the target active ingredient content group includes: The target lysin, the pre-set buffer solution, and the mixed material sample are mixed evenly to obtain a preliminary mixed solution; The preliminary mixed solution was heated in a water bath, and the target aqueous two-phase system was added during the water bath heating process to obtain a heated mixed solution; The heated mixed solution was sequentially cooled to room temperature and then centrifuged to obtain the target supernatant. Identify the target active ingredient group, which includes multiple target active ingredients; The content of active ingredients in the target supernatant was determined based on the target active ingredient group to obtain the target active ingredient content group. The target active ingredient content group includes the content of multiple target active ingredients, and the content of each target active ingredient corresponds one-to-one with the target active ingredient.

5. The method for extracting and purifying the active ingredients based on the kidney-clearing formula as described in claim 4, characterized in that, The set of extraction effect values ​​calculated based on the target active ingredient content set includes: The target active ingredient content set is divided according to the target active ingredient group to obtain multiple active ingredient content sets of the same type. Each active ingredient content set of the same type corresponds one-to-one with the target active ingredient. The average active ingredient content group is obtained by averaging multiple sets of similar active ingredient content. For each target active ingredient content group in the target active ingredient content group set based on the average active ingredient content group, the following operation is performed: The extraction efficiency value was calculated using the average active ingredient content group and the target active ingredient content group. Summarize the extracted effect values ​​to obtain the extracted effect value group.

6. The method for extracting and purifying the active ingredients based on the kidney-clearing formula as described in claim 5, characterized in that, The calculation of the extraction effect value using the average active ingredient content group and the target active ingredient content group includes: The extraction effect value is calculated based on the following formula: ； in, This indicates the extracted effect value. Indicates the quantity of the target active ingredient in the target active ingredient group. Indicates the first in the preset target active ingredient group Weighting coefficients for each target active ingredient. Indicates the first group of target active ingredient content Content of each target active ingredient Indicates the number of groups with average active ingredient content Average content of active ingredients.

7. The method for extracting and purifying the active ingredients based on the kidney-clearing formula as described in claim 6, characterized in that, The optimal process parameter set, obtained by response surface optimization based on the optimal extraction enzyme and the optimal aqueous two-phase system, includes: Set a set of process parameter types to be optimized, which includes multiple process parameter types to be optimized; The types of process parameters to be optimized are extracted sequentially from the set of process parameters to be optimized. Single-factor extraction experiments are conducted on the extracted process parameters using the optimal extraction enzyme and the optimal aqueous two-phase system to obtain a set of single-factor extraction effect values. Calculate the correlation of univariate extraction based on the set of univariate extraction effect values; Summarize the correlations extracted from single factors to obtain the correlation set extracted from single factors; Based on the preset correlation threshold and single-factor extraction of correlation sets, the target optimization parameter set is identified in the set of process parameter types to be optimized. Response surface design is carried out based on the target optimization parameter type set, resulting in multiple response surface test conditions. Each response surface test condition contains multiple test parameters, and the test parameters correspond one-to-one with the target optimization parameter type. Compound extraction experiments were conducted under multiple response surface methodology (RSM) conditions to obtain multiple RSM extraction efficiency values. A quadratic polynomial regression fitting was performed on the extracted effect values ​​based on multiple response surfaces to obtain a mathematical prediction model for the extraction effect. The optimal parameter set is obtained by searching the mathematical prediction model based on the extraction effect.

8. The method for extracting and purifying the active ingredients based on the kidney-clearing formula as described in claim 7, characterized in that, The process involves separating the active ingredients from the raw material mixed powder using an optimal set of process parameters, an enzymatic hydrolysis reaction chamber, a two-phase extraction preparation chamber, and a centrifuge, to obtain a phase-separated solution, including: The raw material mixture powder is transferred to the enzymatic hydrolysis reaction chamber to obtain the mixed powder to be enzymatically hydrolyzed. The enzymatic hydrolysis reaction chamber includes the optimal extraction enzyme and heating equipment. The enzymatic hydrolysis temperature and duration are obtained based on the optimal set of process parameters. The parameters of the enzymatic hydrolysis reaction chamber are set according to the enzymatic hydrolysis temperature and enzymatic hydrolysis time to obtain the target enzymatic hydrolysis reaction chamber. The target enzymatic hydrolysis reaction chamber was used to enzymatically hydrolyze the mixed powder to be hydrolyzed, and a preliminary enzymatic hydrolysis solution was obtained. The preliminary enzymatic hydrolysis solution is transferred to the two-phase extraction preparation chamber to obtain the solution to be extracted, wherein the two-phase extraction preparation chamber contains an optimal aqueous two-phase system; Based on the optimal set of process parameters and the two-phase extraction preparation chamber, the solution to be extracted is extracted to obtain an extraction mixture solution. The two-phase extraction preparation chamber is set with extraction temperature and extraction time. The extraction mixture is cooled to obtain a cooled mixture. The cooled mixed solution was centrifuged to obtain a phase-separated solution.

9. The method for extracting and purifying the active ingredients based on the kidney-clearing formula as described in claim 8, characterized in that, The step involves extracting components from the phase-separated solution using a visual positioning device and a solution extraction probe to obtain effective active ingredients, including: The separation liquid level of the phase separation solution is identified using a visual positioning device to obtain the length of the upper phase liquid column. Obtain the cross-sectional area and unit extraction flow rate of the solution extraction probe; The upper phase extraction time is calculated based on the cross-sectional area, unit extraction flow rate, and upper phase column length. Solution extraction is then performed based on the upper phase extraction time and the solution extraction probe to obtain the effective active ingredient.

10. A system for extracting and purifying the active ingredients based on Xiaoshen Formula, characterized in that, The system includes: The process type optimization module is used to obtain the component raw material group based on the preset kidney-clearing formula function, optimize the extraction process type of the component raw material group, and obtain the optimal extraction enzyme and the optimal aqueous two-phase system. The component raw material group includes one or more component raw materials. An extraction device construction module is used to optimize the response surface based on the optimal extraction enzyme and the optimal aqueous two-phase system to obtain the optimal set of process parameters and construct an automated extraction device. The automated extraction device includes a storage bin, a robotic arm, and a sample transfer track. The storage bin contains the component raw material group, and the sample transfer track includes an enzymatic hydrolysis reaction chamber, a two-phase extraction preparation chamber, a centrifuge, a visual positioning device, and a solution extraction probe. The active solution separation module is used to extract the raw material group from the storage bin using a robotic arm, crush and mix the raw material group to obtain raw material mixed powder, and separate the active ingredients of the raw material mixed powder based on the optimal process parameter set, enzymatic reaction chamber, two-phase extraction preparation chamber and centrifuge to obtain phase separation solution; The active ingredient extraction module is used to extract components from the phase-separated solution using a visual positioning device and a solution extraction probe to obtain effective active ingredients.

Images