Method for extracting raw malt

Abstract

The invention relates to the technical field of raw malt, and particularly discloses a raw malt extraction method which comprises the following steps: preparing a phosphate buffer solution; preparing a boric acid buffer solution; preparing a derivatization solution by using the prepared boric acid buffer solution; the method comprises the following steps: breaking walls of dried raw malt and crushing into powder by using a multifunctional crusher to obtain raw malt powder, dissolving the raw malt powder in distilled water, and carrying out ultrasonic extraction to obtain a raw malt stock solution; after a trichloroacetic acid solution is added into the raw malt stock solution, the raw malt stock solution is subjected to centrifugal treatment, and supernate is obtained; adding a sodium hydroxide solution into the supernate to enable the pH value of the first mixed solution to be neutral, and adding a phosphate buffer solution into the first mixed solution to obtain a second mixed solution; carrying out sampling derivatization on the second mixed solution and the derivatization solution, and carrying out ultraviolet determination within 2min. By adopting the derivatization-ultraviolet spectrophotometry, the analysis time can be remarkably shortened, the operation complexity and cost can be reduced, and the method is more suitable for daily use in laboratories.

Description

Technical Field

[0001] This application relates to the technical field of raw malt, and more specifically, to a method for extracting raw malt. Background Art

[0002] As a traditional crop, raw malt is rich in various high-quality amino acids, especially glutamic acid and glutamine, and has rich nutritional value, showing broad application prospects in both medicine and food. Research shows that these amino acids, as conditionally essential amino acids, are potentially helpful for the treatment of chronic diseases such as colitis and gastric ulcers. Therefore, exploring the content of active ingredients in raw malt and developing related functional foods not only helps to broaden its application directions but also provides new natural therapy options for the treatment of these diseases.

[0003] Although there are already various methods for determining the content of glutamic acid and glutamine, these methods have certain limitations. Specifically, although high-performance liquid chromatography (HPLC) has high sensitivity and can provide accurate quantitative results, its pre-column derivatization step is time-consuming, complex to operate, and the derivatization effect is easily affected by reaction time and conditions, increasing the uncertainty and difficulty of the experiment. On the other hand, although electrospray tandem mass spectrometry (ESI-MS / MS) does not require derivatization and can directly detect multiple amino acids, its high equipment cost and complex operation requirements make it difficult to popularize in many laboratories.

[0004] Therefore, an optimized extraction scheme for raw malt is desired. Summary of the Invention

[0005] This application provides a method for extracting raw malt. The derivatization-ultraviolet spectrophotometry can significantly shorten the analysis time, reduce the operation complexity and cost, and is more suitable for daily use in laboratories.

[0006] According to one aspect of this application, a method for extracting raw malt is provided, including: S1: preparing a phosphate buffer solution; S2: preparing a boric acid buffer solution; S3: using the prepared boric acid buffer solution to prepare a derivatization solution; S4: using a multifunctional grinder to break and pulverize dry raw malt into powder to obtain raw malt powder, dissolving the raw malt powder in distilled water and performing ultrasonic extraction on it to obtain raw malt stock solution; S5: adding trichloroacetic acid solution to the raw malt stock solution and performing centrifugation to obtain a supernatant; S6: adding sodium hydroxide solution to the supernatant to make the pH of the first mixture neutral, and adding the phosphate buffer solution to the first mixture to obtain a second mixture; S7: sampling and derivatizing the second mixture and performing ultraviolet determination within 2 minutes.

[0007] An extraction method of raw malt provided by the present application includes: preparing a phosphate buffer solution; preparing a boric acid buffer solution; using the prepared boric acid buffer solution to prepare a derivatization solution; using a multi-functional crusher to break and pulverize dry raw malt into powder to obtain raw malt powder, dissolving the raw malt powder in distilled water and performing ultrasonic extraction on it to obtain a raw malt stock solution; adding a trichloroacetic acid solution to the raw malt stock solution and performing centrifugation to obtain a supernatant; adding a sodium hydroxide solution to the supernatant to make the pH of the first mixture neutral, and adding a phosphate buffer solution to the first mixture to obtain a second mixture; sampling and derivatizing the second mixture and performing ultraviolet determination within 2 minutes. In this way, the derivatization-ultraviolet spectrophotometry can significantly shorten the analysis time, reduce the operation complexity and cost, and is more suitable for daily use in laboratories. BRIEF DESCRIPTION OF THE DRAWINGS

[0008] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings of the embodiments of the present application will be briefly introduced below. Obviously, the drawings described below only relate to some embodiments of the present application and do not limit the present application.

[0009] Figure 1 It is a schematic flowchart of the extraction method of raw malt according to the embodiment of the present application.

[0010] Figure 2 It is a schematic flowchart of step S4 in the extraction method of raw malt according to the embodiment of the present application.

[0011] Figure 3 It is a graph showing the change of the total content of glutamic acid and glutamine under different ultrasonic powers according to the embodiment of the present application.

[0012] Figure 4 It is a graph showing the change of the total content of glutamic acid and glutamine under different ultrasonic temperatures according to the embodiment of the present application.

[0013] Figure 5 It is a graph showing the change of the total content of glutamic acid and glutamine under different ultrasonic times according to the embodiment of the present application.

[0014] Figure 6 It is a graph showing the change of the total content of glutamic acid and glutamine under different ultrasonic extraction times according to the embodiment of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0015] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings. Obviously, the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present application without creative efforts shall also fall within the protection scope of the present application.

[0016] Based on this, the present application proposes an extraction method for raw malt. Using the derivatization-ultraviolet spectrophotometry can significantly shorten the analysis time, reduce the operation complexity and cost, and is more suitable for daily use in laboratories. Specifically, Figure 1 is a schematic flowchart of the extraction method for raw malt in the embodiments of the present application. As Figure 1 shown, the extraction method for raw malt includes: S1: preparing a phosphate buffer solution; S2: preparing a boric acid buffer solution; S3: using the prepared boric acid buffer solution to prepare a derivatization solution; S4: using a multi-functional crusher to break and pulverize the dry raw malt into powder to obtain raw malt powder, dissolving the raw malt powder in distilled water and then performing ultrasonic extraction on it to obtain raw malt stock solution; S5: adding trichloroacetic acid solution to the raw malt stock solution and then performing centrifugation to obtain a supernatant; S6: adding sodium hydroxide solution to the supernatant to adjust the pH of the first mixture to neutral, and adding the phosphate buffer solution to the first mixture to obtain a second mixture; S7: sampling and derivatizing the second mixture and the derivatization solution and performing ultraviolet determination within 2 min.

[0017] Exemplarily, in step S1, a phosphate buffer solution is prepared. It should be understood that the prepared phosphate buffer solution is mainly used for pH adjustment in subsequent derivatization reactions and sample processing. The main function of the phosphate buffer solution is to ensure the stability of the solution at a specific pH value, which is crucial for ensuring the accuracy and repeatability of experimental results.

[0018] In one embodiment, S1 includes: S11, weighing a predetermined amount of sodium dihydrogen phosphate monohydrate and disodium hydrogen phosphate heptahydrate and placing them in a volumetric flask respectively, adding ultrapure water and mixing evenly to obtain a sodium dihydrogen phosphate solution and a disodium hydrogen phosphate solution; S12, using a pipette to aspirate a predetermined amount of the sodium dihydrogen phosphate solution and the disodium hydrogen phosphate solution and placing them in a volumetric flask, adding ultrapure water and mixing evenly to obtain the phosphate buffer solution.

[0019] In a specific example, the preparation method of 10 mmol / L phosphate buffer solution (pH = 6.8) is as follows. First, two chemical reagents, sodium dihydrogen phosphate monohydrate and disodium hydrogen phosphate heptahydrate, need to be prepared, and a predetermined amount of sodium dihydrogen phosphate monohydrate (2.76 g) and disodium hydrogen phosphate heptahydrate (5.36 g) are weighed respectively. They are placed in two 100-ml volumetric flasks respectively, and then ultrapure water is added to the graduation line and shaken well to obtain Solution A (sodium dihydrogen phosphate solution) and Solution B (disodium hydrogen phosphate solution). These two steps ensure that each phosphate can be completely dissolved in water to form a uniform solution. Then, 2.55 ml of Solution A is accurately pipetted and 2.45 ml of Solution B is pipetted, and they are combined into a new 100-ml volumetric flask. Again, ultrapure water is added to the graduation line and mixed evenly. This step obtains the phosphate buffer solution with a required pH value of 6.8 by mixing two phosphate solutions with different concentrations.

[0020] Exemplarily, in step S2, a boric acid buffer solution is prepared. It should be understood that the boric acid buffer solution is mainly used in the derivatization reaction process to ensure that the solution remains stable at a specific pH value and provides an environment suitable for chemical reactions to proceed.

[0021] In one embodiment, S2 includes: S21, weighing a predetermined amount of borax and sodium hydroxide and placing them in a volumetric flask respectively, adding ultrapure water and performing ultrasonic mixing to obtain a borax solution and a sodium hydroxide solution; S22, using the pipette to pipette a certain amount of the borax solution and the sodium hydroxide solution and placing them in a volumetric flask, adding ultrapure water and mixing evenly to obtain the boric acid buffer solution.

[0022] In a specific example, the preparation method of 40 mmol / L boric acid buffer solution (pH = 9.4) is as follows. First, two chemical reagents, borax and sodium hydroxide, need to be prepared, and a predetermined amount of borax (1.907 g) and sodium hydroxide (0.8 g) are weighed respectively. They are placed in two 100-ml volumetric flasks respectively, and then ultrapure water is added to the graduation line and mixed well using an ultrasonic device to obtain Solution A (borax solution) and Solution B (sodium hydroxide solution). In this way, it can be ensured that borax and sodium hydroxide can be completely dissolved in water to form a uniform solution. Then, 25 ml of Solution A (borax solution) and 5.5 ml of Solution B (sodium hydroxide solution) are accurately pipetted, and they are combined into a new 100-ml volumetric flask. Again, ultrapure water is added to the graduation line and mixed well. This step obtains the boric acid buffer solution with a required pH value of 9.4 by mixing two solutions with different concentrations.

[0023] Exemplarily, in step S3, a derivatization solution is prepared using the prepared boric acid buffer solution. It should be understood that in this way, a derivatization reagent suitable for reacting with amino acids is generated for subsequent determination by ultraviolet spectrophotometry.

[0024] In one embodiment, S3 includes: S31, weighing a predetermined amount of o-phthalaldehyde and placing it in a conical flask, adding a predetermined amount of methanol to dissolve it, and then adding the boric acid buffer solution and shaking well to obtain a shaken solution; S32, using the pipette to aspirate a predetermined amount of mercaptoethanol and adding it to the shaken solution and mixing well to obtain the derivatization solution.

[0025] In a specific example, the method for preparing the derivatization solution is as follows: First, o-phthalaldehyde (OPA), mercaptoethanol, methanol, and the previously prepared boric acid buffer solution (pH 9.4) need to be prepared. Place a predetermined amount of o-phthalaldehyde (0.135 grams) in a conical flask, then measure 10 milliliters of methanol and add it thereto and mix well to ensure complete dissolution of o-phthalaldehyde. The key to this step is to use methanol as the solvent because o-phthalaldehyde has good solubility in methanol, thus ensuring the uniformity and stability of the solution. Then, add 90 milliliters of the above-prepared 40 mmol / L boric acid buffer solution (pH 9.4) to the conical flask containing the dissolved o-phthalaldehyde and shake well. This step mixes the methanol solution and the boric acid buffer solution to make the solution reach the required pH value, providing a suitable environment for the subsequent derivatization reaction. The boric acid buffer solution not only adjusts the pH value of the solution but also provides the necessary ionic strength, helping to stabilize the reaction system. Subsequently, use a pipette to accurately aspirate 2 milliliters of mercaptoethanol and add it to the above conical flask and mix well again. Mercaptoethanol acts as a reducing agent in this process, which can protect the generated derivatives from oxidation, thereby improving the efficiency of the derivatization reaction and the stability of the products. In addition, mercaptoethanol can also enhance the fluorescence characteristics of the derivatization products, further improving the detection sensitivity. The finally obtained OPA derivative solution needs to be freshly prepared before use to ensure its activity and stability. This derivatization solution is used to react with glutamic acid and glutamine in the sample to generate derivatization products with specific ultraviolet absorption characteristics, facilitating subsequent quantitative analysis using an ultraviolet spectrophotometer.

[0026] Exemplarily, in step S4, a multifunctional crusher is used to break and crush the dried raw malt into powder to obtain raw malt powder, and the raw malt powder is dissolved in distilled water and then subjected to ultrasonic extraction to obtain raw malt stock solution. It should be understood that, first, using a multifunctional crusher to break and crush the dried raw malt into powder to obtain raw malt powder, the main purpose of crushing is to increase the surface area of the raw malt. By breaking and crushing the dried raw malt, the surface area in contact with the solvent can be significantly increased. This process destroys more cell walls, thereby releasing internal active ingredients such as amino acids like glutamic acid and glutamine. A larger surface area helps the solvent to penetrate more effectively into the cell interior, improving the solubility and extraction efficiency of the active ingredients. Secondly, crushing can promote the subsequent ultrasonic extraction process. The mechanical vibration of ultrasonic waves can fully mix the solvent with the raw malt powder, ensuring a more uniform extraction process and avoiding the problem of incomplete extraction in local areas. Since the crushed particles are small and uniform, the energy of ultrasonic waves can be more evenly distributed throughout the solution, thus enhancing the extraction effect. In addition, the fine powder is more easily dispersed by the ultrasonic vibration, further improving the extraction efficiency. Moreover, crushing helps to reduce the extraction time and cost. By increasing the surface area and improving the contact conditions between the solvent and the sample, crushing can significantly shorten the time required to achieve the best extraction effect. This is of great significance for both laboratory research and industrial production, as it not only improves work efficiency but also reduces energy consumption and waste of other resources.

[0027] Then, dissolve the raw malt powder in distilled water and perform ultrasonic extraction on it to obtain the raw malt stock solution. The mechanical vibration of ultrasonic waves can fully mix the solvent with the raw malt powder, ensuring a more uniform extraction process and avoiding the problem of incomplete extraction in local areas. The ultrasonic power value, ultrasonic temperature value, and ultrasonic time interact with each other during the ultrasonic extraction of raw malt, jointly determining the extraction efficiency and effect, and thus affecting the required number of ultrasonic extraction times. Specifically, a higher ultrasonic power can increase the cavitation effect in the solution, which helps to more effectively break the cell walls and release more active ingredients such as amino acids like glutamic acid and glutamine. However, too high a power may cause the sample to overheat, leading to unnecessary chemical changes or damaging the activity of the target components. Therefore, finding an optimal power value that can extract efficiently without damaging the sample is the key. The ultrasonic temperature also has a significant impact on the extraction process. An appropriate temperature can accelerate the movement of solvent molecules, improve solubility and diffusion rate, and help to extract active ingredients from solid materials more quickly. However, too high a temperature may cause the decomposition of unstable components or unnecessary side reactions, and also increase energy consumption. In addition, different samples may exhibit the best extraction efficiency at different temperatures, so the ultrasonic temperature needs to be adjusted according to the specific sample characteristics. The ultrasonic time is directly related to the duration of the extraction process and the final effect. In theory, extending the ultrasonic time can increase the extraction amount, but too long a time not only wastes energy but may also cause the extracted active ingredients to be further degraded. More importantly, as the number of extractions increases, the amount of active ingredients obtained per extraction will gradually decrease until a balance point is reached. However, in traditional ultrasonic extraction operations, it is usually a one-time experimental process, and the results obtained are the static optimal parameter combinations, which cannot be adjusted in real time according to the specific situation. In addition, traditional statistical methods have limited capabilities in dealing with complex non-linear relationships. For example, the interaction between ultrasonic power, temperature, and time may be highly non-linear, and this complex relationship may not be fully captured by simple statistical means.

[0028] Accordingly, when dissolving the raw malt powder in distilled water and then performing ultrasonic extraction to obtain the raw malt stock solution, the technical concept of this application is to obtain the ultrasonic power value, ultrasonic temperature value, and ultrasonic time input by the user, use data analysis and processing technology based on deep learning to perform low-dimensional embedding of the ultrasonic power value, the ultrasonic temperature value, and the ultrasonic time, and perform parameter collaborative association on the low-dimensional embedded features of the embedded ultrasonic power and ultrasonic temperature, so as to intelligently predict the number of ultrasonic extraction times according to the cross-modal significant information representation between the cross-modal significant information representation of the associated ultrasonic parameter collaborative action and the low-dimensional embedded feature of the embedded ultrasonic time. This application can automatically learn and capture the complex associations between high-dimensional features based on different ultrasonic power, temperature, and time values input by the user, and dynamically predict the optimal number of ultrasonic extraction times, with higher flexibility and adaptability.

[0029] In one embodiment, Figure 2 is a schematic flowchart of step S4 in the extraction method of raw malt in the embodiment of this application. As Figure 2 shown, the S4 includes: S41, obtaining the ultrasonic power value, ultrasonic temperature value, and ultrasonic time input by the user; S42, performing low-dimensional vector quantization embedding coding on the ultrasonic power value, the ultrasonic temperature value, and the ultrasonic time to obtain an ultrasonic power low-dimensional embedding coding vector, an ultrasonic temperature low-dimensional embedding coding vector, and an ultrasonic time low-dimensional embedding coding vector; S43, performing parameter collaborative implicit feature extraction on the ultrasonic power low-dimensional embedding coding vector and the ultrasonic temperature low-dimensional embedding coding vector to obtain an ultrasonic parameter collaborative action association feature map; S44, performing cross-modal core information significant joint weaving on the ultrasonic parameter collaborative action association feature map and the ultrasonic time low-dimensional embedding coding vector to obtain an ultrasonic extraction effect cross-modal significant prediction coding vector; S45, obtaining an estimated value of the number of ultrasonic extraction times based on the ultrasonic extraction effect cross-modal significant prediction coding vector.

[0030] Exemplarily, in step S41, the ultrasonic power value, ultrasonic temperature value, and ultrasonic time input by the user are obtained. It should be understood that different laboratory environments and equipment performances may vary greatly, and standard parameters may not be applicable to all situations. By allowing the user to input specific parameter values, these differences can be flexibly addressed, making the experimental conditions more in line with the actual situation. Secondly, the sample characteristics also affect the extraction effect. Even for the same material, the component content and physical properties may vary between different batches. Therefore, adjusting the ultrasonic parameters according to the characteristics of the specific sample can better optimize the extraction process and ensure the maximum extraction of active ingredients. For example, some batches of raw malt may contain more cellulose or other insoluble components, which requires higher ultrasonic power or longer ultrasonic time for sufficient cell wall breaking and extraction.

[0031] Exemplarily, in step S42, the ultrasonic power value, the ultrasonic temperature value, and the ultrasonic time are subjected to low-dimensional vectorization embedded coding to obtain ultrasonic power low-dimensional embedded coding vectors, ultrasonic temperature low-dimensional embedded coding vectors, and ultrasonic time low-dimensional embedded coding vectors. It should be understood that, considering that the value ranges and units of the ultrasonic power value, the ultrasonic temperature value, and the ultrasonic time may be different, they have different feature expressions. Therefore, in order to enable different features to be compared and processed on the same scale, in the technical solution of the present application, the ultrasonic power value, the ultrasonic temperature value, and the ultrasonic time are subjected to low-dimensional vectorization embedded coding to convert these data of different scales into a unified feature space, and obtain ultrasonic power low-dimensional embedded coding vectors, ultrasonic temperature low-dimensional embedded coding vectors, and ultrasonic time low-dimensional embedded coding vectors.

[0032] Exemplarily, in step S43, the ultrasonic power low-dimensional embedded coding vector and the ultrasonic temperature low-dimensional embedded coding vector are subjected to parameter synergistic implicit feature extraction to obtain an ultrasonic parameter synergistic association feature map. It should be understood that considering that the ultrasonic power and the ultrasonic temperature do not act independently in the ultrasonic extraction process, but influence and cooperate with each other. Based on this, the present application can reveal the intrinsic connection between the two parameters from the data level by constructing an ultrasonic parameter synergistic matrix between the ultrasonic power low-dimensional embedded coding vector and the ultrasonic temperature low-dimensional embedded coding vector, and help understand their joint effect in the extraction process. In particular, in an example of the present application, the ultrasonic power low-dimensional embedded coding vector and the ultrasonic temperature low-dimensional embedded coding vector are subjected to parameter synergistic implicit feature extraction to obtain an ultrasonic parameter synergistic association feature map, including: constructing an ultrasonic parameter synergistic matrix between the ultrasonic power low-dimensional embedded coding vector and the ultrasonic temperature low-dimensional embedded coding vector, and performing high-dimensional implicit feature extraction between ultrasonic parameters based on two-dimensional convolution on the ultrasonic parameter synergistic matrix to obtain the ultrasonic parameter synergistic association feature map. Specifically, the ultrasonic parameter synergy matrix can be obtained by calculating the product of the transposed vector of the ultrasonic power low-dimensional embedded coding vector and the ultrasonic temperature low-dimensional embedded coding vector. Afterwards, considering that the elements in the ultrasonic parameter synergy matrix represent the synergistic relationship between ultrasonic power and ultrasonic temperature, the elements in its local area often have a close dependency. Therefore, in the technical solution of the present application, the ultrasonic parameter synergy matrix is ​​subjected to high-dimensional implicit feature extraction between ultrasonic parameters based on two-dimensional convolution to utilize the sliding of the convolution kernel of the two-dimensional convolution on the matrix to effectively capture these local dependencies, dig out the synergistic change pattern of ultrasonic power and ultrasonic temperature in different local ranges, and obtain the ultrasonic parameter synergy correlation feature map.

[0033] Exemplarily, in step S44, the ultrasonic parameter synergy association feature map and the ultrasonic time low-dimensional embedded coding vector are significantly woven together across modal core information to obtain a cross-modal significant prediction coding vector for ultrasonic extraction effect. It should be understood that, considering that the ultrasonic extraction process is a complex physical and chemical process, the three factors of ultrasonic power, ultrasonic temperature and ultrasonic time do not affect the extraction effect independently, but are interrelated and synergistic. Specifically, the ultrasonic parameter synergy association feature map reflects the synergistic relationship between ultrasonic power and ultrasonic temperature, while the ultrasonic time low-dimensional embedded coding vector represents the information of the important dimension of time. Therefore, in order to integrate the advantages of different modal data, dig out the potential information hidden in multimodal data, and comprehensively capture the comprehensive impact of these three key factors on the number of ultrasonic extractions, the present application performs cross-modal core information significant woven together on the ultrasonic parameter synergy association feature map and the ultrasonic time low-dimensional embedded coding vector to obtain a cross-modal significant prediction coding vector for ultrasonic extraction effect. That is, this method takes the ultrasonic parameter synergy association feature map and the ultrasonic time low-dimensional embedded coding vector as core clues to construct an association template and interaction mechanism adapted thereto. Through attention mechanisms, heterogeneous transformers, and template constrained learning, the semantic relevance and complementarity of multimodal features are deeply integrated to generate a joint representation with highly semantic consistency and excellent interactivity, thereby improving the accuracy of ultrasound extraction prediction.

[0034] In one embodiment, the ultrasonic parameter synergy association feature map and the ultrasonic time low-dimensional embedded coding vector are subjected to cross-modal core information significant joint weaving to obtain a cross-modal significant prediction coding vector of the ultrasonic extraction effect, including: S441, calculating the core clue features between the ultrasonic time low-dimensional embedded coding vector and the ultrasonic parameter synergy association feature map to obtain an ultrasonic time-parameter core clue weaving template matrix; S442, performing feature decoupling along the channel dimension on the ultrasonic parameter synergy association feature map to obtain a set of ultrasonic parameter synergy association local feature matrices; S443 , using the ultrasonic time low-dimensional embedded coding vector as the query vector, each ultrasonic parameter synergy-associated local feature matrix in the set of ultrasonic parameter synergy-associated local feature matrices as the key matrix and the ultrasonic time-parameter core clue weaving template matrix as the prior information constraint matrix, cross-modal heterogeneous transformation constraint coding is performed on them to obtain a set of ultrasonic time-parameter cross-modal fine-grained interaction coding vectors; S444, calculating the positional mean vector of the set of ultrasonic time-parameter cross-modal fine-grained interaction coding vectors to obtain the ultrasonic extraction effect cross-modal significant prediction coding vector.

[0035] In one embodiment, in step S441, calculating the core clue features between the ultrasonic time low-dimensional embedded coding vector and the ultrasonic parameter synergy-associated feature map to obtain an ultrasonic time-parameter core clue weaving template matrix includes: S4411, performing core clue point convolution coding on the ultrasonic time low-dimensional embedded coding vector to obtain an ultrasonic time core clue coding vector; S4412, extracting an ultrasonic parameter synergy-associated core clue coding vector from the ultrasonic parameter synergy-associated feature map; S4413, constructing the ultrasonic time-parameter core clue weaving template matrix between the ultrasonic time core clue coding vector and the ultrasonic parameter synergy-associated core clue coding vector.

[0036] Exemplarily, in step 4411, the role of the core clue point convolution coding is similar to a refiner, which not only maintains the integrity of high-dimensional information but also strengthens the semantically significant time features. This means that through this coding method, those moments or time periods that are crucial for the extraction effect can be extracted from complex ultrasonic time data. For example, within certain specific time periods, due to the peak of the cavitation effect of ultrasonic waves, the cell walls are most thoroughly damaged, enabling the efficient release of active ingredients; while in other time periods, the extraction efficiency may decrease due to rising temperature or other factors. In addition, the point convolution coding effectively avoids redundant expression of information and focuses on the extraction of modal important elements. This means that when processing ultrasonic time data, the system can automatically ignore those parts that have less impact on the extraction effect and focus on those factors that truly play a decisive role. For instance, during a long ultrasonic treatment process, there may be some time periods where the growth of extraction efficiency tends to level off or even decline. Through point convolution coding, the system can identify and filter out these ineffective time periods and only retain those time periods with the greatest extraction potential. Specifically, this process can be represented by the formula:

[0037] v c1 =Leaky ReLU{Conv 1×1 (v 1 )+b 1}

[0038] where v 1 is the ultrasonic time low-dimensional embedded coding vector, Conv 1×1 is the point convolution coding, b 1 is the bias vector, Leaky ReLU is the activation function, and v c1 is the ultrasonic time core clue coding vector;

[0039] Exemplarily, in step 4412, the process of extracting the ultrasonic parameter collaborative correlation core clue encoding vector from this ultrasonic parameter collaborative effect correlation feature map is like searching for the most critical information points in this complex feature map to form a highly condensed and representative feature representation. Specifically, this step is not just simply extracting data from the feature map, but refining this information through a series of advanced computational methods (such as convolution operations and attention mechanisms) to ensure capturing those factors that have the most influential effect on the extraction result. In this process, convolution operations can be used to effectively mine the significant features within local regions. If certain specific power-temperature combinations in the feature map perform well in experiments, then the regions corresponding to these combinations will be recognized and emphasized by the convolution operation. This operation not only maintains the integrity of high-dimensional information but also strengthens the semantically significant modality-specific features. For example, within a specific time period, due to the peak cavitation effect of ultrasonic waves, the cell walls are destroyed most thoroughly, enabling the efficient release of active ingredients; while in other time periods, the extraction efficiency may decrease due to rising temperature or other factors. Through convolution operations, the system can automatically identify and highlight these critical moments and regions. Specifically, this process can be represented by the formula:

[0040]

[0041] where F 2 is the ultrasonic parameter collaborative effect correlation feature map, Partition is the grid partitioning operation, and are respectively the 1st, 2nd, ith, and mth ultrasonic parameter collaborative effect local correlation feature maps in the set of ultrasonic parameter collaborative effect local correlation feature maps, Conv 3×3 is the convolution encoding with a 3×3 convolution kernel, sigmoid is the sigmoid function, is the ith ultrasonic parameter collaborative effect local enhanced correlation feature map in the set of ultrasonic parameter collaborative effect local enhanced correlation feature maps, Gloabl pool is the global pooling operation, is the ith ultrasonic parameter collaborative effect local enhanced correlation feature vector in the set of ultrasonic parameter collaborative effect local enhanced correlation feature vectors, max(·) and min(·) are respectively taking the maximum value and the minimum value, α, β, and γ are modulation parameters, and are respectively 's mean and variance, D i is the ith ultrasonic parameter collaborative effect local significant coefficient in the set of ultrasonic parameter collaborative effect local significant coefficients, exp(·) represents the exponential function value with the natural constant e as the base, m is the number of vectors in the set of ultrasonic parameter collaborative effect local enhanced correlation feature vectors, vc2 is the core clue coding vector of ultrasonic parameter co - association;

[0042] Exemplarily, in step 4413, after the extraction of the ultrasonic time core clue coding vector and the core clue coding vector of ultrasonic parameter co - association is completed, it enters the construction link of the ultrasonic time - parameter core clue weaving template matrix. The ultrasonic time - parameter core clue weaving template matrix is the core prior representation of the cross - modal interaction engine, and its function can be analogized to a graph structure that establishes an explicit association between two modalities. The edge weights of this graph structure are driven by the internal relationship of the core clues between modalities, and in specific implementations, it can be calculated by dot - product similarity measurement, attention mapping mechanism or other methods. The calculated ultrasonic time - parameter core clue weaving template matrix essentially reflects the global semantic constraints between modalities and can also capture the fine - grained relationships between local significant regions.

[0043] In one embodiment, in step S4413, constructing the ultrasonic time - parameter core clue weaving template matrix between the ultrasonic time core clue coding vector and the core clue coding vector of ultrasonic parameter co - association includes: using a feature mapping function to perform feature association on the ultrasonic time core clue coding vector and the core clue coding vector of ultrasonic parameter co - association to obtain an ultrasonic time - parameter core association matrix. Specifically, this process can be expressed by the formula:

[0044]

[0045] where T is the transpose operation, and φ(·) is a feature mapping function, such as a linear mapping or a non - linear kernel function, and M tem is the ultrasonic time - parameter core association matrix.

[0046] Performing global semantic modeling and explicit association mapping on the ultrasonic time core clue coding vector and the core clue coding vector of ultrasonic parameter co - association to obtain an ultrasonic time - parameter explicit association mapping matrix. Specifically, this process can be expressed by the formula:

[0047]

[0048]

[0049] where, is subtraction by position point - by - point, v m and v m ′ are the ultrasonic time - parameter alignment vector and the ultrasonic parameter - time alignment vector respectively, is the square of the calculated vector two - norm, and log 2 is the logarithmic function value with base 2, is matrix multiplication, M cor is the ultrasonic time-parameter explicit correlation mapping matrix.

[0050] Taking the ultrasonic time-parameter explicit correlation mapping matrix as the weight matrix, performing fine-grained compensation on the ultrasonic time-parameter core correlation matrix to obtain the ultrasonic time-parameter core clue weaving template matrix. Specifically, this process can be expressed by the formula:

[0051]

[0052] where M tem ′ is the ultrasonic time-parameter core clue weaving template matrix.

[0053] Here, for the ultrasonic time core clue encoding vector v c1 used for representing the core clues of different modality features and the ultrasonic parameter collaborative correlation core clue encoding vector v c2 , through its residual mechanism based on different modality mappings, perform preliminary structured semantic alignment of general explicit correlations in the shared representation space to obtain the ultrasonic time-parameter alignment vector v m and the ultrasonic parameter-time alignment vector v m ′. Then, based on the explicit modeling graph structure global semantic spatial representation under mapping preferences, further use the residual mechanism to respectively capture the "missing" information in the alignment process under different mapping modalities, and perform adaptive compensation through explicit correlations to further capture the fine-grained significant difference information between modalities in the preliminary alignment process. In this way, the contradiction between the alignment complexity of cross-modal different intrinsic drive mappings and the intuitiveness of explicit associations in the graph structure can be optimized, and the global semantic constraint hallucination between modalities under the condition of misalignment of fine-grained relationships between local significant regions can be reduced.

[0054] Exemplarily, in step S442, performing feature decoupling on the ultrasonic parameter collaborative action correlation feature map along the channel dimension can decompose this complex feature map into a set of multiple local feature matrices. Each local feature matrix represents the ultrasonic parameter collaborative action features in a specific region or time period. This decomposition not only simplifies the data analysis process but also enables more detailed attention to and utilization of the key information in each local region. Feature decoupling provides unitized modeling input for subsequent cross-modal query-key interactions. Specifically, this process can be expressed by the formula:

[0055] Decompose(F 2 ) = {M 1 , M 2 ,..., M i ,..., M n}

[0056] Among them, Decompose(·) is a feature decoupling operation along the channel dimension, M 1 , M 2 , M i and M n are the 1st, 2nd, ith, and nth ultrasound parameter synergistic action associated local feature matrices in the set of ultrasound parameter synergistic action associated local feature matrices.

[0057] Exemplarily, in step S443, cross-modal heterogeneous transformation constraint encoding is used to implement cross-modal interaction encoding based on template constraints. In this process, the low-dimensional embedding encoding vector of ultrasound time is used as a query vector (QueryVector), and responses are obtained from each ultrasound parameter synergistic action associated local feature matrix in the set of ultrasound parameter synergistic action associated local feature matrices through an attention mechanism. The set of these ultrasound parameter synergistic action associated local feature matrices is also subject to the prior constraint of the ultrasound time-parameter core clue weaving template matrix. This constraint mechanism further improves the representation ability of the results by strengthening the normativity and accuracy in modal interaction. The main difference between cross-modal heterogeneous transformation constraint encoding and the native Transformer lies in the introduction of the ultrasound time-parameter core clue weaving template matrix, which makes the dynamic weight distribution or attention parameters between modalities subject to its prior constraints, so that the feature interaction is centered around the template information woven by the core clues, thereby ensuring high coupling and interaction directivity between modal representations at the algorithm level. Specifically, this process can be expressed by the formula:

[0058]

[0059] where L is the scale of M i , that is, the width of the matrix multiplied by the height of the matrix, softmax is a normalization function, and v ti is the ith ultrasound time-parameter cross-modal fine-grained interaction encoding vector in the set of ultrasound time-parameter cross-modal fine-grained interaction encoding vectors.

[0060] Exemplarily, in step S444, a set of ultrasonic time-parameter cross-modal fine-grained interaction coding vectors is generated as the modal interaction is completed. Each fine-grained interaction coding vector in this set respectively reflects the combined representation of a certain region in the ultrasonic parameter synergy correlation local feature matrix and the ultrasonic time low-dimensional embedding coding vector. Further, the position-wise mean vector of the set of ultrasonic time-parameter cross-modal fine-grained interaction coding vectors is calculated to obtain the ultrasonic extraction effect cross-modal significant prediction coding vector. Here, to further reduce the processing cost and retain the main semantic information, these ultrasonic time-parameter cross-modal fine-grained interaction coding vectors are aggregated through position-wise mean calculation to form the final ultrasonic extraction effect cross-modal significant prediction coding vector. Specifically, this process can be expressed by the formula:

[0061]

[0062] where n is the number of vectors in the set of ultrasonic time-parameter cross-modal fine-grained interaction coding vectors, and v f is the ultrasonic extraction effect cross-modal significant prediction coding vector.

[0063] Exemplarily, in step S45, an estimated value of the number of ultrasonic extractions is obtained based on the cross-modal significant prediction coding vector of the ultrasonic extraction effect. In one embodiment, obtaining an estimated value of the number of ultrasonic extractions based on the cross-modal significant prediction coding vector of the ultrasonic extraction effect includes: inputting the cross-modal significant prediction coding vector of the ultrasonic extraction effect into an ultrasonic extraction number predictor based on a decoder to obtain the estimated value of the number of ultrasonic extractions. That is, decoding processing is performed on the cross-modal significant prediction coding vector of the ultrasonic extraction effect obtained by performing cross-modal core significant prediction using the collaborative action correlation feature map of the ultrasonic parameters and the low-dimensional embedded coding vector of the ultrasonic time, so as to intelligently predict the number of ultrasonic extractions. It should be understood that during the ultrasonic extraction process, parameters such as ultrasonic power, temperature, and time jointly determine the extraction effect, and there is an internal relationship between the extraction effect and the required number of extractions. And the ultrasonic extraction number predictor based on the decoder can establish a quantitative relationship between these multi-parameter comprehensive features and the number of ultrasonic extractions, find the reasonable number of extractions corresponding to different parameter combinations, and convert the high-dimensional and abstract cross-modal significant prediction coding vector of the ultrasonic extraction effect into an understandable and specific estimated value of the number of ultrasonic extractions. The decoder has the ability to map complex features to the target variable space, and its structure and function are suitable for processing the complex information carried by the coding vector, and extracting and converting the features related to the number of ultrasonic extractions, so as to further optimize the extraction process and achieve a more efficient and stable ultrasonic extraction process. In a specific example, through the ultrasonic extraction number predictor based on the decoder, it is predicted that under the conditions of ultrasonic power of 60%, ultrasonic temperature of 55 °C, and ultrasonic extraction time of 30 min, the optimal number of ultrasonic extractions is 3 times.

[0064] Exemplarily, in step S5, after adding trichloroacetic acid solution to the raw malt stock solution, centrifugation is performed on it to obtain a supernatant. It should be understood that trichloroacetic acid is a strong acid that can denature and precipitate proteins. After adding trichloroacetic acid to the raw malt stock solution, the proteins in the solution will denature and aggregate, forming precipitates insoluble in water. Through subsequent centrifugation, these precipitates can be effectively separated, thereby reducing interference with subsequent analysis. In addition to proteins, other macromolecular substances such as polysaccharides may also be present in the raw malt stock solution. Trichloroacetic acid can not only precipitate proteins, but also cause some other macromolecular substances to coagulate into precipitates, further improving the purity of the extract. This is crucial for accurately measuring active ingredients such as glutamic acid and glutamine.

[0065] In a specific example, first, a trichloroacetic acid solution of a certain concentration needs to be prepared. Usually, a 10% trichloroacetic acid solution is used because it can effectively denature and precipitate proteins without causing too much impact on the target components. Add an appropriate amount of the trichloroacetic acid solution to the raw malt stock solution and ensure thorough mixing. The key to this step is to ensure that the trichloroacetic acid is in full contact with the stock solution, enabling the proteins therein to completely denature and precipitate. Next, place the mixed solution in a low-temperature environment and let it stand for a period of time, usually 15 minutes. The low-temperature environment helps the proteins to aggregate and precipitate better, and also slows down the possible chemical reactions, maintaining the stability of the solution. During this period, it can be seen that the solution gradually becomes turbid because the proteins and other macromolecular substances start to form precipitates. Subsequently, transfer the standing mixed solution to a centrifuge for centrifugation. The rotation speed and time of the centrifuge need to be adjusted according to the specific requirements of the experiment. Generally, the centrifugation speed is set at 2500 rpm and the time is 10 minutes. High-speed centrifugation can quickly sediment the solid particles in the solution to the bottom of the centrifuge tube, while the supernatant is relatively pure and free of macromolecular impurities. After centrifugation, carefully transfer the supernatant to a new container. During this process, it is necessary to pay attention to avoiding disturbing the precipitate at the bottom of the centrifuge tube to prevent the introduction of impurities. To ensure the collection of as much supernatant as possible, use a pipette to operate carefully and get as close as possible to but not touch the precipitate layer.

[0066] Exemplarily, in step S6, add a sodium hydroxide solution to the supernatant to adjust the pH of the first mixed solution to neutral, and add the phosphate buffer solution to the first mixed solution to obtain a second mixed solution. It should be understood that during the raw malt extraction process, the supernatant after centrifugation may contain acidic components (such as trichloroacetic acid), which will affect subsequent chemical reactions. By adding a sodium hydroxide solution to adjust the pH value to neutral (usually around pH 7), a stable environment can be provided, enabling the target components (such as glutamic acid and glutamine) to remain stable in subsequent reactions. The phosphate buffer solution has good buffering capacity and can maintain the pH value of the solution unchanged within a certain range. This is particularly important for derivatization reactions because many chemical reactions are very sensitive to the pH value, and a slight change may lead to a decrease in reaction efficiency or the generation of by-products. By adding the phosphate buffer solution, it can be ensured that the reaction system proceeds within the optimal pH range, thereby improving the accuracy and repeatability of the reaction. The finally obtained second mixed solution not only has a moderate pH value but also has good buffering capacity, providing ideal conditions for subsequent derivatization reactions. The derivatization reaction needs to be carried out at a specific pH value to ensure that the generated derivatization products have good ultraviolet absorption characteristics, facilitating subsequent ultraviolet spectrophotometric determination.

[0067] In a specific example, first, an appropriate amount of sodium hydroxide solution needs to be prepared. Usually, a 0.1M sodium hydroxide solution is used because it can effectively adjust the pH value without introducing excessive ionic interference. Take a certain amount of the supernatant obtained after centrifugation and transfer it to a clean beaker. Use a pH meter to measure the initial pH value of the supernatant and record it for subsequent adjustment. Next, slowly add the 0.1M sodium hydroxide solution dropwise to the supernatant in the beaker while continuously stirring the solution and monitoring the change in pH value. Since sodium hydroxide is a strong base, a small amount can significantly change the pH value of the solution, so the dropping rate should be carefully controlled during addition. When the pH value approaches 7, slow down the dropping rate and gradually adjust until the pH value precisely reaches around 7. The key to this step is to precisely control the pH value to ensure that the solution is in a neutral state. Then, prepare the phosphate buffer solution. According to the previously prepared method, the required phosphate buffer solution (usually 40mM, pH 6.8) has been obtained. Add a certain amount of the phosphate buffer solution to the supernatant with the adjusted pH value and gently stir to mix it evenly. The addition of the phosphate buffer solution can not only further fine-tune the pH value of the solution but also provide good buffering capacity to ensure that the reaction system remains stable during subsequent processing. In this process, it should be noted that the dosage of the phosphate buffer solution should be adjusted according to the specific requirements of the experiment. Usually, the phosphate buffer solution is mixed with the supernatant according to the volume ratio (for example, a ratio of 1:1 or 1:2). This can ensure that the final obtained second mixed solution has both appropriate buffering capacity and can maintain the required pH value. Finally, fully stir the mixed second mixed solution to ensure that all components are evenly distributed. At this time, the solution should be transparent and the pH value should be stable within the required range (usually between pH 6.8 - 7.2). To ensure the mixing effect, a magnetic stirrer or manual stirring can be used for a period of time until the solution is completely homogeneous.

[0068] Exemplarily, in step S7, the second mixed solution and the derivatization solution are sampled for derivatization and subjected to ultraviolet determination within 2 minutes. It should be understood that the derivatization reaction refers to the conversion of a target molecule into a new compound with specific physical or chemical properties through chemical means. For amino acids such as glutamic acid and glutamine, derivatization can make them generate products with strong ultraviolet absorption characteristics, thus facilitating quantitative analysis using an ultraviolet spectrophotometer. Through the derivatization reaction, the detection sensitivity and accuracy can be significantly improved. After the derivatization reaction is completed, ultraviolet determination needs to be carried out within a short time. This is because some derivatization products may degrade or change when exposed to air or other environments for a long time, affecting the accuracy of the determination results. Therefore, carrying out ultraviolet determination within 2 minutes can ensure the reliability and stability of the data.

[0069] In a specific example, first, prepare a second mixed solution with the pH value adjusted and phosphate buffer added, as well as a pre-prepared derivatization solution (such as o-phthalaldehyde OPA solution). Ensure that all reagents are equilibrated at room temperature to avoid the influence of temperature changes on the reaction. Next, take an appropriate amount of the second mixed solution (usually 50 μL to 100 μL) and transfer it to a clean small test tube or microcentrifuge tube. Then, add an equal amount of the derivatization solution (such as 50 μL OPA solution) to it. Gently mix well to ensure that the two solutions are fully in contact and the reaction starts. The key to this step is to mix the solutions quickly and evenly to ensure that the derivatization reaction can proceed rapidly and completely. During the mixing process, OPA in the derivatization solution will react with glutamic acid and glutamine in the second mixed solution to generate a derivatized product with ultraviolet absorption characteristics. To ensure the completeness of the reaction, it is possible to wait for a few seconds after mixing to allow the reaction to proceed fully. Generally, the derivatization reaction can be completed within a few seconds, but for ensuring the best effect, it is recommended to complete the subsequent operations within 30 seconds. Then, immediately transfer the derivatized solution to the sample cell of the ultraviolet spectrophotometer. Since the stability of the derivatized product is limited, ultraviolet determination must be carried out within 2 minutes. Therefore, the sample should be put into the instrument for measurement as soon as possible after mixing. During this period, minimize any unnecessary delays to ensure the accuracy of the measurement results. Set an appropriate wavelength (such as 340 nm) on the ultraviolet spectrophotometer, which is the maximum absorption wavelength of the OPA derivatized product. Start the instrument and record the absorbance value. Repeated measurements multiple times can improve the reliability of the data and reduce the influence of accidental errors. At the same time, the concentrations of glutamic acid and glutamine in the sample can be calculated by the standard curve method.

[0070] For verification, the following experimental data are provided. That is, in a specific example, accurately weigh 1 g of glutamic acid and 1 g of glutamine standard products and place them in 100 ml volumetric flasks respectively. Add ultrapure water to the scale for constant volume, and mix well to obtain glutamic acid and glutamine standard solutions. Use a multi-functional crusher to break and crush the dry raw malt into powder. Accurately weigh 10 g of the raw malt powder and place it in a conical flask, add 150 mL of distilled water, and perform ultrasonic extraction on glutamic acid and glutamine in the raw malt according to the process parameters to be investigated.

[0071] Specifically, for the selection of the measurement wavelength: Take the glutamic acid standard product, glutamine standard product and a blank excipient solution without the main component respectively for derivatization treatment. After shaking well, perform ultraviolet scanning and deduct the ultraviolet background of the OPA derivatization solution. The results show that the derivatized products of the two have relatively strong ultraviolet absorption at the wavelengths of 335 nm and 360 nm respectively, while the blank excipient has no absorption near these two wavelengths after being treated in the same way. Excluding the interference of the solvent and the blank, 335 nm is selected as the measurement wavelength for glutamic acid, and 360 nm is selected as the measurement wavelength for glutamine.

[0072] Specifically, the preparation of the glutamic acid standard curve: Precisely pipette 2.0 mL, 3.0 mL, 4.0 mL, 5.0 mL, 6.0 mL, and 7.0 mL of the above-mentioned glutamic acid standard stock solution, respectively place them in 100 mL volumetric flasks, add ultrapure water to volume to the scale, and shake well. Precisely pipette 1 mL of each prepared solution into a beaker, add 5.5 mL of the above-prepared OPA derivative solution, mix well and immediately perform ultraviolet determination. Measure the absorbance at a wavelength of 335 nm. Taking the absorbance as the ordinate (Y) and the mass concentration as the abscissa (X), the standard curve equation of glutamic acid is obtained as Y = 0.0045X + 0.3553, R2 = 0.9922.

[0073] Specifically, the preparation of the glutamine standard curve: Precisely pipette 2.0 mL, 3.0 mL, 4.0 mL, 5.0 mL, 6.0 mL, and 7.0 mL of the above-mentioned glutamine standard stock solution, respectively place them in 100 mL volumetric flasks, add ultrapure water to volume to the scale, and shake well. Precisely pipette 1 mL of each prepared solution into a beaker, add 5.5 mL of the above-prepared OPA derivative solution, mix well and immediately perform ultraviolet determination. Measure the absorbance at a wavelength of 360 nm. Taking the absorbance as the ordinate (Y) and the mass concentration as the abscissa (X), the standard curve equation of glutamine is obtained as Y = 0.0021X + 0.1057, R2 = 0.9986.

[0074] Specifically, the determination of the sample: According to the method for preparing the standard curve, precisely measure 1 mL of the sample solution and react it with the OPA reagent. Use an ultraviolet spectrophotometer to measure the absorbance of the sample at 335 nm and 360 nm respectively, and substitute them into the regression curve equations of glutamic acid and glutamine to calculate the total content of glutamic acid and glutamine in the sample. The calculation formula is: X total = (C 1 + C 2 )V / M

[0075] In the formula, X total is the total content of glutamic acid and glutamine in raw malt, mg·g -1 ; C 1 is the mass concentration of glutamic acid in the sample, C 2 is the mass concentration of glutamine in the sample, mg·ml -1 ; V is the total volume of the sample solution for determination, ml; M is the mass of raw malt dry powder, g.

[0076] The extraction of raw malt ultimately adopts the ultrasonic cell wall breaking method. The main factors affecting the extraction of glutamic acid and glutamine in raw malt include extraction power, extraction temperature, extraction time, extraction times, solid-liquid ratio, etc. In this experiment, ultrasonic power (%), ultrasonic temperature (°C), ultrasonic time (min), and ultrasonic extraction times (times) were used as single-factor conditions, and the total content of glutamic acid and glutamine was used as a reference index to explore the influence of each factor on the total content extraction.

[0077] Specifically, the experimental method for ultrasonic power (%) is as follows: Weigh 10 g of raw malt powder after cell wall breaking and pulverization → Add 150 ml of distilled water to a conical flask → Immerse it in an ultrasonic cleaner at 50 °C for 30 min at powers of 20%, 40%, 60%, 80%, and 100% respectively → Centrifuge ultrasonically to obtain the supernatant → Derivatize and measure by ultraviolet

[0078] Specifically, the experimental method for ultrasonic temperature (°C) is as follows: Weigh 10 g of raw malt powder after cell wall breaking and pulverization → Add 150 ml of distilled water to a conical flask → Immerse it in an ultrasonic cleaner at different temperatures (30 °C, 40 °C, 50 °C, 60 °C, 70 °C) for 30 min at a power of 60% → Centrifuge ultrasonically to obtain the supernatant → Derivatize and measure by ultraviolet

[0079] Specifically, the experimental method for ultrasonic time (min) is as follows: Weigh 10 g of raw malt powder after cell wall breaking and pulverization → Add 150 ml of distilled water to a conical flask → Immerse it in an ultrasonic cleaner at 50 °C for different times (10 min, 20 min, 30 min, 40 min, 50 min) at a power of 60% → Centrifuge ultrasonically to obtain the supernatant → Derivatize and measure by ultraviolet

[0080] Specifically, the experimental method for ultrasonic extraction times (times) is as follows: Weigh 10 g of raw malt powder after cell wall breaking and pulverization → Add 150 ml of distilled water to a conical flask → Immerse it in an ultrasonic cleaner at 50 °C for 30 min at a power of 60%, and extract different times (1 time, 2 times, 3 times, 4 times, 5 times) respectively → Centrifuge ultrasonically to obtain the supernatant → Derivatize and measure by ultraviolet

[0081] Specifically, the method for treating the samples is as follows: Glutamic acid and glutamine are both soluble in water but poorly soluble in organic solvents. To avoid the influence of impurities such as electrolytes in water, the solvent used in this experiment is ultrapure water. The content of macromolecular substances such as proteins in the malt solution is relatively high. To avoid affecting the ultraviolet determination effect, a protein denaturant, 10% trichloroacetic acid solution, is used to cause aggregation and sedimentation for pretreatment. After ultrasonic extraction of each group of samples under different conditions, the raw malt stock solution is obtained. Take 5 ml of the raw malt stock solution, add an equal volume of 10% trichloroacetic acid solution, shake well and place it at low temperature (4°C) for 15 min, then take it out and centrifuge. The centrifugation conditions are 2500 r / min for 10 min. Pipette 5 ml of the supernatant after centrifugation into a beaker, add an appropriate amount of 40% NaOH solution, adjust the pH to neutral, then place the mixed solution in a 10-ml volumetric flask, and make up the volume to the scale with the above-prepared 10 mmol / l phosphate buffer solution (pH = 6.8), and shake well. Precisely pipette 1 ml of the treated mixed solution, and take samples for derivatization with the OPA derivatizing solution at a ratio of 1:5.5, and perform ultraviolet determination within 2 min.

[0082] According to the results of preliminary experiments, taking the total extraction amount of glutamic acid and glutamine as the evaluation index, four main factors, namely ultrasonic power (A), ultrasonic temperature (B), ultrasonic time (C), and ultrasonic extraction times (D), were selected for investigation. The results of single-factor experiments showed that the extraction effect was the best when the ultrasonic power exceeded 60%. Therefore, 50%, 60%, and 70% were selected for investigation; the extraction effect was the best at an ultrasonic temperature of 50°C. Therefore, 45°C, 50°C, and 55°C were selected for investigation; the extraction effect was the best at an ultrasonic time of 40 min. Therefore, 35 min, 40 min, and 45 min were selected for investigation; ultrasonic extraction 4 times could basically extract completely. Considering the experimental cost, 2, 3, and 4 times were selected for investigation. An orthogonal design experiment was carried out using L9(3 4 )), and the factor level design is shown in Table 1.

[0083] Table 1 Factors and levels of orthogonal experiments

[0084]

[0085] Use Excel to organize the experimental data and draw relevant charts, and use SASS 27.0 software for orthogonal experimental design and data analysis.

[0086] From Figure 3It can be seen that the total content of glutamic acid and glutamine shows a trend of increasing first and then decreasing with the increase of ultrasonic power. When the ultrasonic power is 60%, the total content of the two reaches the highest. The preliminary analysis shows that the reason may be that the increase in power accelerates the wall breaking and deformation of raw malt, which releases glutamic acid and glutamine components and accelerates diffusion; but when the power is greater than 60%, the total content of the two is significantly reduced. This may be because the high-density eddy currents and large bubbles generated by excessive power cause the molecular structure of glutamic acid and glutamine to change and be lost. Therefore, the optimal ultrasonic power for raw malt extraction is 60%. In order to further optimize the extraction process of raw malt, ultrasonic powers of 50%, 60%, and 70% were selected for subsequent orthogonal experiments.

[0087] Depend on Figure 4 It can be seen that when the ultrasonic temperature is between 30 and 70°C, as the temperature increases, the total content of glutamic acid and glutamine shows a trend of first increasing and then decreasing. When the ultrasonic temperature is 50°C, the total content of the two reaches the highest. Preliminary analysis shows that the reason may be that as the temperature increases, the movement speed of the molecules of the substance accelerates, and the ability of the solvent to penetrate the raw malt is enhanced, which increases the dissolution of glutamic acid and glutamine components; but when the ultrasonic temperature is higher than 50°C, the amine group in the glutamine structure is unstable, and the internal cyclization reaction of glutamine may occur at high temperatures, which reduces the total content of the extraction. Therefore, the optimal ultrasonic temperature for raw malt extraction is 50°C. In order to further optimize the extraction process of raw malt, ultrasonic temperatures of 45°C, 50°C, and 55°C were selected for subsequent orthogonal experiments.

[0088] Depend on Figure 5 It can be seen that when the ultrasonic time is 10-50min, with the increase of temperature, the total content of glutamic acid and glutamine shows a trend of first increasing and then decreasing. When the ultrasonic temperature is 30min, the total content of the two reaches the highest. The preliminary analysis may be that the longer the ultrasonic extraction time, the more the cell wall of the raw malt is broken, the more glutamic acid and glutamine components are dissolved, and the extraction efficiency is improved; but when the ultrasonic time is greater than 30min, the excessive extraction time may lead to excessive breakage of the cell wall of the raw malt, and other chemical components are dissolved while the effective components are dissolved. The extension of the ultrasonic action time generates too much heat, which causes the decomposition of some heat-unstable components in the raw malt, thereby affecting the determination of the total content of glutamic acid and glutamine. Therefore, the optimal ultrasonic time for raw malt extraction is 30min. In order to further optimize the extraction process of raw malt, ultrasonic times of 25min, 30min, and 35min were selected for subsequent orthogonal experiments.

[0089] Depend on Figure 6It can be seen that within the range of 1 to 5 ultrasonic extraction times, the total content of glutamic acid and glutamine shows a trend of first increasing and then decreasing twice. Based on the preliminary analysis of the experimental data: the extraction amounts of glutamic acid and glutamine both show a trend of first increasing and then decreasing at this level, but their peaks are different. The measured contents are the largest at the 2nd and 4th extractions respectively, corresponding to the two peaks of the total content in the figure. The preliminary analysis of the reason may be that glutamic acid has a greater solubility than glutamine. As the extraction times increase, glutamic acid is ultrasonic extracted completely earlier than glutamine. In the weight of the first total content peak formed, glutamic acid accounts for a larger proportion. After multiple extractions, the dissolution of glutamine increases greatly, resulting in the second peak. However, the excessive ultrasonic cell wall breaking for a long time causes a large amount of other components in raw malt to dissolve out, interfering with the measurement results. Therefore, after the 4th extraction, the total content shows a downward trend. Taking the total content of the two as a comprehensive evaluation, the optimal ultrasonic extraction times for raw malt is selected as 4 times. However, since too long extraction time will increase the industrial production cost and is not conducive to economic benefits, therefore, the extraction process of raw malt is further optimized by selecting ultrasonic extraction times of 2 times, 3 times, and 4 times for the subsequent orthogonal experiment.

[0090] Weigh 9 samples of raw malt, each weighing 10 g, and perform ultrasonic extraction according to the test number and the L 9 (3 4 ) orthogonal test table, and calculate the total content of glutamic acid and glutamine. The results and analysis of the L 9 (3 4 ) orthogonal test are shown in Table 2.

[0091] Table 2 Results and analysis of the L 9 (3 4 ) orthogonal test

[0092]

[0093] As can be seen from Table 2, in the above experiment, the primary and secondary relationship of the four experimental factors affecting the total content of glutamic acid and glutamine is: D (ultrasonic extraction times) > B (ultrasonic temperature) > C (ultrasonic time) > A (ultrasonic power). The orthogonal test results show that the optimal experimental condition combination for the extraction of active ingredients from raw malt is A 2 B 3 C 2 D 2 , that is, the ultrasonic power is 60%, the ultrasonic temperature is 55 °C, the ultrasonic extraction time is 30 min, and the ultrasonic extraction times is 3 times. By calculating the range, it can be seen that the ultrasonic extraction times has the greatest impact on the total content of glutamic acid and glutamine, followed by the ultrasonic temperature, and the ultrasonic power has the smallest impact.

[0094] In summary, the extraction method of raw malt according to the embodiments of the present application is elucidated, which includes: preparing a phosphate buffer solution; preparing a boric acid buffer solution; using the prepared boric acid buffer solution to prepare a derivatization solution; using a multifunctional crusher to break and pulverize the dry raw malt into powder to obtain raw malt powder, dissolving the raw malt powder in distilled water and then performing ultrasonic extraction on it to obtain a raw malt stock solution; adding a trichloroacetic acid solution to the raw malt stock solution and then performing centrifugation to obtain a supernatant; adding a sodium hydroxide solution to the supernatant to make the pH of the first mixture neutral, and adding a phosphate buffer solution to the first mixture to obtain a second mixture; sampling and derivatizing the second mixture and the derivatization solution and performing ultraviolet determination within 2 minutes. In this way, the derivatization-ultraviolet spectrophotometry can significantly shorten the analysis time, reduce the operation complexity and cost, and is more suitable for daily use in the laboratory.

[0095] Finally, it should be noted that the above-described embodiments are some, but not all, of the embodiments of the present invention. The detailed description of the embodiments of the present invention is not intended to limit the scope of the claimed invention, but merely represents selected embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts fall within the scope of protection of the present invention.

Claims

1. A method for extracting raw malt, characterized in that: include: S1: prepare phosphate buffer; S2: prepare borate buffer; S3: preparing a derivatization solution using the prepared boric acid buffer; S4: using a multifunctional pulverizer to break the wall of the dried raw malt into powder to obtain raw malt powder, and dissolving the raw malt powder in distilled water and then performing ultrasonic extraction to obtain raw malt stock solution; S5: adding trichloroacetic acid solution to the raw malt solution and centrifuging the solution to obtain a supernatant; S6: adding sodium hydroxide solution to the supernatant to make the pH of the first mixed solution neutral, and adding the phosphate buffer to the first mixed solution to obtain a second mixed solution; S7: Sampling and derivatizing the second mixed solution and the derivatization solution and performing UV measurement within 2 minutes.

2. The method for extracting raw malt according to claim 1, characterized in that: Said S1 comprises: Weigh a predetermined amount of sodium dihydrogen phosphate monohydrate and disodium hydrogen phosphate heptahydrate into a volumetric flask, add ultrapure water and mix well to obtain a sodium dihydrogen phosphate solution and a disodium hydrogen phosphate solution; A predetermined amount of the sodium dihydrogen phosphate solution and the sodium hydrogen phosphate solution were taken with a pipette and placed in a volumetric flask, and ultrapure water was added and mixed to obtain the phosphate buffer.

3. The method for extracting raw malt according to claim 2, characterized in that: The S2 comprises: Weigh a predetermined amount of borax and sodium hydroxide into a volumetric flask, add ultrapure water and perform ultrasonic mixing to obtain a borax solution and a sodium hydroxide solution; A certain amount of the borax solution and the sodium hydroxide solution are drawn by the pipette and placed in a volumetric flask, and ultrapure water is added and mixed to obtain the boric acid buffer solution.

4. The method for extracting raw malt according to claim 3, characterized in that: The S3 includes: Weigh a predetermined amount of o-phthalaldehyde and place it in a conical flask, add a predetermined amount of methanol to dissolve it, then add the boric acid buffer and shake well to obtain a well-shaken solution; A predetermined amount of mercaptoethanol is drawn into the shaken solution using the pipette and mixed to obtain the derivatization solution.

5. The method for extracting raw malt according to claim 4, characterized in that: The S4 comprises: Acquiring the ultrasonic power value, ultrasonic temperature value and ultrasonic time input by the user; Performing low-dimensional vectorization embedding coding on the ultrasonic power value, the ultrasonic temperature value and the ultrasonic time to obtain an ultrasonic power low-dimensional embedded coding vector, an ultrasonic temperature low-dimensional embedded coding vector and an ultrasonic time low-dimensional embedded coding vector; Performing parameter synergy implicit feature extraction on the ultrasonic power low-dimensional embedded coding vector and the ultrasonic temperature low-dimensional embedded coding vector to obtain an ultrasonic parameter synergy correlation feature map; The ultrasonic parameter synergy correlation feature map and the ultrasonic time low-dimensional embedding coding vector are significantly combined to weave cross-modal core information to obtain a cross-modal significant prediction coding vector of ultrasonic extraction effect; Based on the cross-modal significant prediction coding vector of the ultrasonic extraction effect, an estimated value of the number of ultrasonic extraction times is obtained.

6. The method for extracting raw malt according to claim 5, characterized in that: The ultrasonic power low-dimensional embedded coding vector and the ultrasonic temperature low-dimensional embedded coding vector are subjected to parameter synergy implicit feature extraction to obtain an ultrasonic parameter synergy association feature map, including: constructing an ultrasonic parameter synergy matrix between the ultrasonic power low-dimensional embedded coding vector and the ultrasonic temperature low-dimensional embedded coding vector, and performing high-dimensional implicit feature extraction between ultrasonic parameters based on two-dimensional convolution on the ultrasonic parameter synergy matrix to obtain the ultrasonic parameter synergy association feature map.

7. The method for extracting raw malt according to claim 6, characterized in that: The cross-modal core information of the ultrasonic parameter synergy correlation feature map and the ultrasonic time low-dimensional embedded coding vector are significantly combined to obtain a cross-modal significant prediction coding vector of the ultrasonic extraction effect, including: Calculating the core clue features between the ultrasound time low-dimensional embedding coding vector and the ultrasound parameter synergy association feature map to obtain an ultrasound time-parameter core clue weaving template matrix; Performing feature decoupling along the channel dimension on the ultrasonic parameter synergy association feature map to obtain a set of ultrasonic parameter synergy association local feature matrices; Using the ultrasonic time low-dimensional embedded coding vector as a query vector, using each ultrasonic parameter synergy-associated local feature matrix in the set of ultrasonic parameter synergy-associated local feature matrices as a key matrix, and using the ultrasonic time-parameter core clue weaving template matrix as a prior information constraint matrix, cross-modal heterogeneous conversion constraint coding is performed on them to obtain a set of ultrasonic time-parameter cross-modal fine-grained interaction coding vectors; The position-wise mean vector of the set of ultrasound time-parameter cross-modal fine-grained interaction coding vectors is calculated to obtain the ultrasound extraction effect cross-modal significant prediction coding vector.

8. The method for extracting raw malt according to claim 7, characterized in that: Calculating the core clue features between the ultrasound time low-dimensional embedding coding vector and the ultrasound parameter synergy association feature map to obtain an ultrasound time-parameter core clue weaving template matrix, including: Performing core cue point convolution coding on the ultrasonic time low-dimensional embedded coding vector to obtain an ultrasonic time core cue coding vector; Extracting an ultrasound parameter synergy association core clue encoding vector from the ultrasound parameter synergy association feature map; The ultrasound time-parameter core cue weaving template matrix between the ultrasound time core cue encoding vector and the ultrasound parameter cooperative association core cue encoding vector is constructed.

9. The method for extracting raw malt according to claim 8, characterized in that: Constructing the ultrasound time-parameter core cue weaving template matrix between the ultrasound time core cue encoding vector and the ultrasound parameter collaborative association core cue encoding vector, comprising: Using a feature mapping function, feature-associate the ultrasound time core cue encoding vector and the ultrasound parameter collaborative association core cue encoding vector to obtain an ultrasound time-parameter core association matrix; Performing global semantic modeling and explicit association mapping on the ultrasound time core cue encoding vector and the ultrasound parameter collaborative association core cue encoding vector to obtain an ultrasound time-parameter explicit association mapping matrix; The ultrasonic time-parameter explicit association mapping matrix is ​​used as a weight matrix, and fine-grained compensation is performed on the ultrasonic time-parameter core association matrix to obtain the ultrasonic time-parameter core clue weaving template matrix.

10. The method for extracting raw malt according to claim 9, characterized in that: Based on the ultrasonic extraction effect cross-modal significant prediction coding vector, an estimated value of the ultrasonic extraction number is obtained, including: inputting the ultrasonic extraction effect cross-modal significant prediction coding vector into a decoder-based ultrasonic extraction number predictor to obtain the estimated value of the ultrasonic extraction number.

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