Preparation method of plant extract based on low-temperature plasma modification

Abstract

The invention belongs to the technical field of plant extract preparation, and provides a plant extract preparation method based on low-temperature plasma modification, and the method comprises the following steps: carrying out uniformity analysis on the thickness of embryo slices of grape seeds, and judging whether the uniformity optimization of the thickness of the embryo slices needs to be carried out or not; if yes, whether a linear influence relation exists or not is analyzed and judged according to the flaking pressure and flaking thickness of the grape seeds during flaking, and if yes, an initial adjustment pressure value is determined according to the linear influence relation; the flaking pressure is adjusted for the first time according to the initial adjustment pressure value, and the optimization requirement of the grape seed breakage rate is judged after the first adjustment; if necessary, whether a linear influence relationship exists between the flaking pressure and the breakage rate of the grape seeds during flaking of the grape seeds is analyzed and judged, the thickness uniformity and the breakage rate of the flakes are optimized at the same time, the production efficiency and the product quality are improved, the optimization cost is reduced, and fine control over grape seed processing is achieved.

Description

Technical Field

[0001] The invention belongs to the technical field of plant extract preparation, in particular to a method for preparing a plant extract based on low-temperature plasma modification. Background Art

[0002] In the field of plant extract preparation, the flaking process is the core link that affects the quality of raw material pretreatment, but the traditional process has significant technical bottlenecks.

[0003] Existing technologies generally assess flake quality through manual spot checks or single-point thickness measurement. This lacks a quantitative evaluation system for flake thickness distribution, resulting in a lack of scientific basis for thickness uniformity control. This can easily lead to localized thinning or thickening, directly impacting subsequent extraction efficiency. Regarding crushing rate control, existing methods rely solely on empirically adjusted roll gaps, without establishing a mathematical correlation model between flake rolling pressure and crushing effectiveness. This results in a large dispersion of crushed particle sizes, which impacts the release rate of active ingredients and increases the generation of ineffective fine powder. More critically, traditional processes regulate flake thickness uniformity and crushing rate as independent parameters, without identifying a synergistic mechanism for the impact of flake rolling pressure on both. Consequently, process optimization requires repeated trial and error, increasing energy and solvent consumption while making it difficult to simultaneously improve product quality and production efficiency.

[0004] To this end, the present invention provides a method for preparing a plant extract based on low-temperature plasma modification. Summary of the Invention

[0005] In order to make up for the deficiencies of the prior art, at least one technical problem raised in the background technology is solved.

[0006] The method for preparing plant extracts modified by low-temperature plasma, the technical solution adopted by the present invention to solve the technical problem is:

[0007] By analyzing the uniformity of the grape seed embryo thickness, it is determined whether the uniformity of the embryo thickness needs to be optimized;

[0008] If necessary, determine whether there is a linear relationship between the flaking pressure and the flaking thickness of the grape seeds during flaking. If so, determine the initial pressure value based on the linear relationship.

[0009] Make the first adjustment to the flaking pressure based on the initial pressure value, and determine the optimization needs of the grape seed crushing rate after the first adjustment;

[0010] If necessary, determine whether there is a linear influence relationship between the flaking pressure and the grape seed breakage rate during flaking. If so, determine the polyadjusted pressure value of the grape seed flaking pressure based on the linear influence relationship, and determine the adjustability of the secondary adjustment of the flaking pressure in combination with the initial adjustment pressure value;

[0011] If the flaking pressure can be adjusted twice, the flaking pressure is adjusted twice for the grape seeds according to the polyadjusted pressure value.

[0012] As a further solution of the present invention, the specific process of determining whether it is necessary to optimize the uniformity of the thickness of the embryonic sheet is as follows:

[0013] Analyze the uniformity of grape seed embryo thickness to determine the proportion of batches to be optimized and the thickness uniformity deviation ratio;

[0014] The thickness uniformity index is obtained by multiplying the ratio of the number of batches to be optimized for uniformity by the thickness uniformity deviation ratio.

[0015] If the thickness uniformity index is greater than or equal to the thickness uniformity index threshold, the thickness uniformity of the grape seed embryo slices after embryo rolling needs to be optimized.

[0016] As a further solution of the present invention: the process of obtaining the proportion of the number of batches to be optimized for uniformity is:

[0017] Obtain the thickness of grape seed embryos after embryo molding for all batches;

[0018] Calculating the mean and standard deviation of embryo thickness of grape seeds after embryo rolling in any batch of grape seeds to obtain the mean and standard deviation of embryo thickness of the current batch of grape seeds, and performing a ratio processing on the standard deviation of embryo thickness of the current batch of grape seeds to the mean of embryo thickness to obtain the average thickness value of the current batch of grape seeds;

[0019] If the thickness uniformity value of the current batch of grape seeds is greater than or equal to the thickness uniformity threshold, the corresponding batch of grape seeds will be recorded as a batch to be optimized for uniformity;

[0020] Calculate the proportion of batches to be optimized for uniformity among all batches.

[0021] As a further solution of the present invention: the process of obtaining the thickness uniformity deviation ratio is:

[0022] The thickness uniformity value corresponding to the batch to be optimized is extracted and subtracted from the thickness uniformity threshold to obtain the thickness uniformity deviation of the batch to be optimized. The thickness uniformity deviations of all batches to be optimized are summed and averaged, and then the average is compared with the thickness uniformity threshold to obtain the thickness uniformity deviation degree ratio.

[0023] As a further solution of the present invention, the process of analyzing and judging whether there is a linear influence relationship between the flaking pressure and the flaking thickness of grape seeds during flaking is as follows:

[0024] Based on different flaking pressures of grape seeds and the thickness uniformity index of the flaking sheets under different flaking pressures, the linear correlation between flaking pressure and thickness uniformity index was calculated by taking the absolute value using the Pearson correlation coefficient formula.

[0025] If the linear correlation value between the embryo rolling pressure and the thickness uniformity index is greater than or equal to the linear correlation threshold, it indicates that there is a linear influence relationship between the embryo rolling pressure and the thickness uniformity of the grape seed embryo.

[0026] As a further solution of the present invention: the specific process of initially adjusting the pressure value is:

[0027] Constructing a thickness uniformity index variation curve, fitting the thickness uniformity index variation curve using the least squares method, and obtaining a first pressure influence model;

[0028] The thickness uniformity index and the thickness uniformity index threshold are subjected to difference processing to obtain a uniformity adjustment coefficient, which is input into the first pressure influence model and output to obtain an initial adjustment pressure value.

[0029] As a further solution of the present invention, the process for determining the optimization requirement of the grape seed crushing rate after the first adjustment is as follows:

[0030] Grape seeds crushed by flaking were collected and multiple images of grape seed particles were captured using an industrial camera. After analysis and processing, the particle size of each grape seed particle was exported to Excel. The standard deviation and mean of all grape seed particle size data in the Excel table were calculated. The standard deviation and mean of all grape seed particle size data were ratioed to obtain the particle size uniformity index.

[0031] As a further solution of the present invention, the process of analyzing and judging whether there is a linear influence relationship between the flaking pressure and the grape seed breakage rate during flaking is as follows:

[0032] Based on different flaking pressures of grape seeds and the particle size uniformity index of grape seed particles under different flaking pressures, the linear influence value between flaking pressure and particle size uniformity index was calculated by taking the absolute value using the Pearson correlation coefficient formula;

[0033] If the linear influence value between the flaking pressure and the particle size uniformity index is greater than or equal to the linear influence threshold, it indicates that there is a linear influence relationship between the grape seed flaking pressure and the grape seed breakage rate.

[0034] As a further solution of the present invention: the process of obtaining the polyphonic pressure value is:

[0035] A particle size uniformity index variation curve is constructed and fitted using the least squares method to obtain a second pressure influence model.

[0036] The particle size uniformity index and the particle size uniformity index threshold are subjected to difference processing to obtain the crushing rate adjustment coefficient, which is input into the second pressure influence model and output to obtain the polyphonic pressure value.

[0037] As a further solution of the present invention, the process for determining the adjustability of the secondary adjustment of the flaking pressure is as follows:

[0038] If the positive and negative values ​​of the re-adjusted pressure value are the same as those of the initial adjustment pressure value, it means that the flaking pressure can be adjusted a second time.

[0039] The beneficial effects of the present invention are as follows:

[0040] 1. The present invention obtains the thickness of grape seed flakes after flake rolling and analyzes the uniformity of the grape seed flake thickness to determine whether the thickness of the grape seed flakes after flake rolling needs to be optimized. If optimization of the thickness uniformity of the grape seed flakes is required, the flake thickness of the grape seed flakes under different flake rolling pressures is processed and analyzed to determine whether there is a linear influence relationship between the grape seed flake rolling pressure and the flake thickness. If so, an initial adjustment pressure value for the grape seed flake rolling pressure is determined based on the linear influence relationship. Based on the initial adjustment pressure value, the flake rolling pressure that affects the grape seed flake thickness is initially adjusted. The present invention measures thickness uniformity by the coefficient of variation, effectively identifying and quantifying the degree of unevenness in flake thickness. Combined with statistical analysis of the thickness uniformity index, the uniformity level of the flake rolling process can be comprehensively evaluated, providing data support for subsequent optimization. The linear relationship between the flake rolling pressure and thickness uniformity is analyzed by the Pearson correlation coefficient, and a pressure influence model is constructed to scientifically determine the initial adjustment pressure value, achieving precise control of the flake rolling pressure. This not only improves the uniformity of the flake thickness, but also optimizes the flake rolling process parameters, thereby contributing to improved grape seed processing quality and production efficiency.

[0041] 2. After the initial adjustment of the grape seed flaking pressure, the present invention detects the grape seed crushing rate to determine whether the grape seed crushing rate needs to be optimized. If the grape seed crushing rate needs to be optimized, the grape seed flaking pressure and the grape seed crushing rate are analyzed and determined to determine whether there is a linear influence relationship. The grape seed polyadjusted pressure value is determined based on the linear influence relationship, and the adjustability of the flaking pressure is determined based on the initial pressure value. If the flaking pressure can be adjusted secondary, the grape seed flaking pressure is adjusted secondary according to the polyadjusted pressure value to ensure the thickness of the grape seed embryo flakes. Both uniformity and crushing rate meet the requirements. After the initial adjustment of the flaking pressure, the present invention uses the coefficient of variation to measure particle size uniformity, which can effectively determine the degree of crushing uniformity and provide a basis for optimization. If optimization is required, the linear relationship between the flaking pressure and the crushing rate is further analyzed, a pressure influence model is constructed, and a polyadjusted pressure value is scientifically determined. By comparing the adjustment direction of the polyadjusted pressure value with the initial pressure value, the two are ensured to be consistent. In this way, the synergistic effect of pressure change is utilized, and the uniformity of the flaking thickness and the crushing rate are simultaneously optimized through adjustment in a single direction, thereby improving production efficiency and product quality, reducing optimization costs, and realizing refined control of grape seed processing. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] The present invention will be further described below with reference to the accompanying drawings.

[0043] Figure 1 This is a flow chart of the steps for obtaining a method for preparing a plant extract based on low-temperature plasma modification according to an embodiment of the present invention;

[0044] Figure 2 It is a logic block diagram of a method for preparing a plant extract based on low-temperature plasma modification according to an embodiment of the present invention. DETAILED DESCRIPTION

[0045] In order to make the technical means, creative features, objectives and effects achieved by the present invention easier to understand, the present invention is further described below in conjunction with specific implementation methods.

[0046] Example 1

[0047] The method for preparing a plant extract based on low-temperature plasma modification according to an embodiment of the present invention comprises the following steps in the grape seed processing process:

[0048] S1: Grape seeds and soybean meal are mixed and fed into a softening pot via an auger conveyor. The mass of soybean meal is 10% of the mass of grape seeds. The feeding rate is 500 kg / h. Water (3% of the total mass of grape seeds and soybean meal) is added for softening. The moisture content of the material after softening is 12%. The outlet temperature is 70°C and the softening time is 27 minutes.

[0049] S2: The softened material is transported to the flaking mill through a scraper conveyor and an auger conveyor for flaking;

[0050] S3: After flaking, the material is transported to the drag chain countercurrent extraction equipment through a scraper conveyor. 55% (V / V) ethanol aqueous solution is added to the solvent feeding port for extraction. The feeding rate is 1m³ / h, the extraction time is 6h, and the temperature is: 55℃ for 0-2h; 65℃ for 2-4h; 60℃ for 4-6h.

[0051] S4: After the extraction is completed, the extract is filtered through a 100-mesh filter with a filtration flow rate of 0.8 m³ / h. The filtrate is collected in a storage tank. After testing, the extraction yield of proanthocyanidins is 99.05%, of which the content of oligomeric proanthocyanidins accounts for 52.6% of the total proanthocyanidins. The ethanol solvent consumption per ton of raw material is 9.5 kg, and the energy consumption per ton of raw material is 77 kg of standard coal.

[0052] S5: The filtrate is further refined and purified to obtain a grape seed extract product;

[0053] Example 2

[0054] See also Figure 1 As shown, in the method for preparing a plant extract based on low-temperature plasma modification according to an embodiment of the present invention, during the flaking process in step S2, both the thickness uniformity and the breakage rate of the flaked grape seeds will affect the subsequent anthocyanin extraction efficiency. Improving the thickness uniformity of the flaked grape seeds first and then optimizing the breakage rate is more beneficial to the overall process efficiency and product quality. To this end, the thickness uniformity of the flaked grape seeds after flaking is first analyzed, which includes the following steps:

[0055] S21: Obtaining the thickness of the grape seed embryo slice after embryo rolling, and performing uniformity analysis on the thickness of the grape seed embryo slice to determine whether uniformity optimization of the embryo slice thickness is required. If uniformity optimization is required, proceed to S21; if not, proceed to S24;

[0056] During the flaking process of the grape seeds, a laser thickness gauge installed at the flaking mill outlet uses spectral confocal technology to non-contact scan the surface of the flaked sheets to obtain the thickness of the flaked sheets for all batches of grape seeds after flaking.

[0057] Based on any batch of grape seeds;

[0058] integrating the embryo thickness of grape seeds after embrocation in the current batch of grape seeds into an embryo thickness data set;

[0059] The mean and standard deviation formulas are used to calculate the mean and standard deviation of the embryo thickness of the current batch of grape seeds, and the standard deviation of the embryo thickness of the current batch of grape seeds is compared with the mean embryo thickness to obtain the average thickness value of the current batch of grape seeds;

[0060] It can be understood that the thickness uniformity value is obtained by ratioing the standard deviation of the embryo thickness of the current batch of grape seeds to the mean embryo thickness. In essence, it uses the coefficient of variation calculation formula to measure the uniformity of the embryo thickness of the current batch of grape seeds. It reflects the degree of data dispersion in the embryo thickness data set corresponding to the current batch of grape seeds, and can more clearly represent the uniformity of the embryo thickness of the current batch of grape seeds.

[0061] Compare the thickness uniformity value of the current batch of grape seeds with the thickness uniformity threshold;

[0062] If the thickness uniformity value of the current batch of grape seeds is greater than or equal to the thickness uniformity threshold, it means that the thickness of the embryo flakes after the current batch of grape seeds is uneven. The thickness uniformity of the embryo flakes after the current batch of grape seeds needs to be optimized, and the corresponding batch of grape seeds is recorded as a batch to be uniformly optimized.

[0063] If the thickness uniformity value of the current batch of grape seeds is less than the thickness uniformity threshold, it means that the thickness of the embryo flakes after the current batch of grape seeds is uniform, and there is no need to optimize the uniformity of the embryo flake thickness after the current batch of grape seeds. The corresponding batch of grape seeds is recorded as a non-uniformity optimization batch;

[0064] Count the number of batches to be optimized for uniformity among all batches, and calculate the proportion of batches to be optimized for uniformity among all batches;

[0065] Extract the thickness uniformity value corresponding to the batch to be optimized for uniformity and perform subtraction processing on the thickness uniformity threshold to obtain the thickness uniformity deviation of the batch to be optimized for uniformity; sum and average the thickness uniformity deviations of all batches to be optimized for uniformity to obtain the mean thickness uniformity deviation; perform ratio processing on the mean thickness uniformity deviation and the thickness uniformity threshold to obtain the thickness uniformity deviation degree ratio;

[0066] The thickness uniformity index is obtained by multiplying the ratio of the number of batches to be optimized for uniformity by the thickness uniformity deviation ratio.

[0067] In some embodiments, the thickness uniformity index is compared with the thickness uniformity index threshold, and the specific comparison process is as follows:

[0068] If the thickness uniformity index is less than the thickness uniformity index threshold, it means that the number of batches with non-uniformity optimization during the grape seed flake ...

[0069] If the thickness uniformity index is greater than or equal to the thickness uniformity index threshold, it means that there are many non-uniform optimization batches and the thickness of the embryo slices is highly non-uniform during the flaking process of the grape seeds on the flaking machine. It is necessary to optimize the uniformity of the embryo slice thickness after the grape seeds are flaked;

[0070] S22: If the uniformity of the embryo thickness needs to be optimized, the embryo thickness of grape seeds under different embryo rolling pressures is processed and analyzed to determine whether there is a linear influence relationship between the embryo rolling pressure and the embryo thickness. If so, an initial adjustment pressure value for the embryo rolling pressure of the grape seeds is determined based on the linear influence relationship. Based on the initial adjustment pressure value, the embryo rolling pressure that affects the embryo thickness of the grape seeds is adjusted for the first time;

[0071] Based on the different flaking pressures of grape seeds and the thickness uniformity index of the flaked sheets under different flaking pressures, the linear correlation between the flaking pressure and the thickness uniformity index was calculated by taking the absolute value using the Pearson correlation coefficient formula. The specific calculation formula is:

[0072]

[0073] Where r1 represents the linear correlation between the rolling pressure and the thickness uniformity index. represents the i-th flaking pressure, represents the i-th thickness uniformity index, represents the mean value of the flaking pressure, It represents the mean value of thickness uniformity index after all thickness uniformity indices are calculated;

[0074] In some embodiments, the linear correlation value between the rolling pressure and the thickness uniformity index is compared with a linear correlation threshold. The specific comparison process is:

[0075] If the linear correlation value between the flaking pressure and the thickness uniformity index is greater than or equal to the linear correlation threshold, it means that there is a linear influence relationship between the flaking pressure and the thickness uniformity of the grape seed flakes;

[0076] If the linear correlation value between the flaking pressure and the thickness uniformity index is less than the linear correlation threshold, it means that there is no linear influence relationship between the flaking pressure and the thickness uniformity of the grape seed flakes;

[0077] Based on the linear relationship between grape seed embryo crushing pressure and thickness uniformity index, the initial pressure value of grape seed embryo crushing pressure is determined. The specific process is as follows:

[0078] A thickness uniformity index variation curve is constructed in a two-dimensional coordinate system, where the x-axis represents the rolling pressure and the y-axis represents the thickness uniformity index;

[0079] The thickness uniformity exponential change curve is fitted using the least squares method to obtain the first pressure influence model. The specific fitting linear equation is:

[0080]

[0081] Where, represents the slope of the fitted straight line in the first pressure influence model, represents the intercept of the fitted straight line in the first pressure influence model, Indicates the flaking pressure, Indicates thickness uniformity index;

[0082] Performing difference processing on the thickness uniformity index and the thickness uniformity index threshold to obtain a uniformity adjustment coefficient, inputting the uniformity adjustment coefficient into the first pressure influence model, and outputting an initial adjustment pressure value;

[0083] The technical solution of this embodiment is as follows: obtaining the thickness of grape seed embryos after embryo rolling, analyzing the uniformity of the grape seed embryo thickness, and determining whether the embryo thickness needs to be optimized after embryo rolling. If embryo thickness uniformity optimization is required, analyzing the embryo thickness of grape seeds under different embryo rolling pressures to determine whether there is a linear influence relationship between the embryo rolling pressure and the embryo thickness. If so, determining an initial adjustment pressure value for the embryo rolling pressure based on the linear influence relationship, and making an initial adjustment to the embryo rolling pressure that affects the embryo thickness based on the initial adjustment pressure value. The present invention measures thickness uniformity by using the coefficient of variation to effectively identify and quantify the degree of unevenness in embryo thickness. Combined with statistical analysis of the thickness uniformity index, it can comprehensively evaluate the uniformity level of the embryo rolling process, providing data support for subsequent optimization. The linear relationship between the embryo rolling pressure and thickness uniformity is analyzed using the Pearson correlation coefficient, and a pressure influence model is constructed to scientifically determine the initial adjustment pressure value, achieving precise control of the embryo rolling pressure. This not only improves the uniformity of the embryo thickness, but also optimizes the embryo rolling process parameters, thereby contributing to improved grape seed processing quality and production efficiency.

[0084] Example 3

[0085] See also Figure 1 As shown, the method for preparing a plant extract based on low-temperature plasma modification according to an embodiment of the present invention further includes the following steps, after optimizing and analyzing the breakage rate of grape seeds after embryo rolling:

[0086] S23: After the grape seed embryo crushing pressure is adjusted for the first time, the grape seed crushing rate is tested to determine whether the grape seed crushing rate needs to be optimized;

[0087] After the initial adjustment of the flaking pressure, which affects the thickness of the grape seed flaking, the crushed grape seeds were collected and multiple images of the grape seed particles were captured using an industrial camera.

[0088] Import all captured particle images into ImageJ software, perform binarization processing, convert them into grayscale images, separate particles from the background, set the particle size range (e.g., 0.1-5 mm), and allow the software to automatically identify particle boundaries and export the particle size data of each grape seed particle to Excel.

[0089] Calculate the standard deviation and mean of all grape seed particle size data in the Excel table, and perform a ratio processing on the standard deviation and mean of all grape seed particle size data to obtain the particle size uniformity index;

[0090] It can be understood that the particle uniformity value is obtained by comparing the standard deviation of all grape seed particle size data to the mean. In essence, it uses the coefficient of variation calculation formula to measure the particle uniformity of grape seeds. It reflects the degree of dispersion of all grape seed particle size data in the Excel table and can more clearly characterize the particle size uniformity of grape seed particles.

[0091] In some embodiments, the particle size uniformity index is compared to a particle size uniformity index threshold;

[0092] If the particle size uniformity index is greater than or equal to the particle size uniformity index threshold, it means that the degree of uneven crushing is serious during the grape seed crushing process, and the grape seed crushing rate needs to be optimized;

[0093] If the particle size uniformity index is less than the particle size uniformity index threshold, it means that the degree of uneven crushing during the grape seed crushing process is not serious and there is no need to optimize the grape seed crushing rate;

[0094] S24: If the grape seed crushing rate needs to be optimized, the flaking pressure during flaking and the grape seed crushing rate are analyzed and judged to determine whether there is a linear influence relationship. Based on the linear influence relationship, a polyadjusted pressure value for the grape seed flaking pressure is determined. Combined with the initial pressure value, the adjustability of the flaking pressure is determined for secondary adjustment. If the flaking pressure can be adjusted secondary, the flaking pressure is adjusted again based on the polyadjusted pressure value to ensure that the thickness uniformity of the grape seed flakes and the crushing rate meet the requirements.

[0095] Based on the different flaking pressures of grape seeds and the particle size uniformity index of grape seed particles under different flaking pressures, the linear influence value between flaking pressure and particle size uniformity index was calculated by taking the absolute value using the Pearson correlation coefficient formula. The specific calculation formula is:

[0096]

[0097] Where, It represents the linear influence value between the rolling pressure and the particle size uniformity index. represents the i-th flaking pressure, represents the i-th particle size uniformity index, It represents the mean value of particle size uniformity after all particle size uniformity indices are averaged;

[0098] In some embodiments, the linear influence value between the flaking pressure and the particle size uniformity index is compared with a linear influence threshold value. The specific comparison process is:

[0099] If the linear influence value between the flaking pressure and the particle size uniformity index is greater than or equal to the linear influence threshold, it means that there is a linear influence relationship between the grape seed flaking pressure and the grape seed breakage rate;

[0100] If the linear influence value between the flaking pressure and the particle size uniformity index is less than the linear influence threshold, it means that there is no linear influence relationship between the flaking pressure and the grape seed breakage rate;

[0101] Based on the linear relationship between grape seed embryo crushing pressure and particle size uniformity index, the polyphonic pressure value of grape seed embryo crushing pressure is determined. The specific process is as follows:

[0102] A particle size uniformity index variation curve is constructed in a two-dimensional coordinate system, where the x-axis represents the flaking pressure and the y-axis represents the particle size uniformity index;

[0103] The particle size uniformity exponential change curve was fitted using the least squares method to obtain the second pressure influence model. The specific fitting linear equation is:

[0104]

[0105] Where, represents the slope of the fitted straight line in the second pressure influence model, 2 represents the intercept of the fitting line in the second pressure influence model, Indicates the particle size uniformity index;

[0106] Performing difference processing on the particle size uniformity index and the particle size uniformity index threshold to obtain a crushing rate adjustment coefficient, inputting the crushing rate adjustment coefficient into the second pressure influence model, and outputting a polyphonic pressure value;

[0107] Compare the polynomial pressure value with the initial pressure value;

[0108] If the positive and negative values ​​of the re-adjusted pressure value are the same as those of the initial adjustment pressure value, it means that the flaking pressure can be adjusted for the second time;

[0109] If the positive and negative signs of the re-adjusted pressure value are opposite to those of the initial adjustment pressure value, it means that the flaking pressure cannot be adjusted for the second time;

[0110] It should be noted that the same positive and negative means that the polynomial pressure value and the initial pressure value are the same positive or negative, and vice versa, it means the positive and negative are opposite;

[0111] If the flaking pressure can be adjusted twice, the grape seed flaking pressure is adjusted again according to the compound pressure value;

[0112] It is understandable that if the positive and negative values ​​of the adjusted pressure value are the same as those of the initial pressure value, the grape seed embryo crushing pressure is adjusted again according to the adjusted pressure value because the pressure change has a synergistic effect on the uniformity of embryo thickness and the optimization of the crushing rate, and the dual optimization goals can be achieved simultaneously through pressure adjustment in a single direction.

[0113] The technical solution of this embodiment is as follows: after the grape seed embryo crushing pressure is adjusted for the first time, the grape seed crushing rate is tested to determine whether the grape seed crushing rate needs to be optimized; if the grape seed crushing rate needs to be optimized, the grape seed embryo crushing pressure and the grape seed crushing rate are analyzed and judged to determine whether there is a linear influence relationship during embryo crushing; then, a polyphonic pressure value of the grape seed embryo crushing pressure is determined based on the linear influence relationship; and the adjustability of the embryo crushing pressure is determined based on the initial pressure value; if the embryo crushing pressure can be adjusted for the second time, the embryo crushing pressure is adjusted for the second time based on the polyphonic pressure value to ensure the quality of the grape seeds. Both the embryo thickness uniformity and the crushing rate meet the requirements. After the initial adjustment of the embryo rolling pressure, the present invention uses the coefficient of variation to measure the particle size uniformity, which can effectively determine the degree of crushing uniformity and provide a basis for optimization. If optimization is required, the linear relationship between the embryo rolling pressure and the crushing rate is further analyzed, a pressure influence model is constructed, and a polyadjusted pressure value is scientifically determined. By comparing the adjustment direction of the polyadjusted pressure value with the initial adjustment pressure value, the two are ensured to be consistent. In this way, the synergistic effect of pressure change is utilized, and the embryo thickness uniformity and crushing rate are simultaneously optimized through single-direction adjustment, thereby improving production efficiency and product quality, reducing optimization costs, and achieving refined control of grape seed processing.

[0114] The basic principles, main features, and advantages of the present invention are shown and described above. Those skilled in the art should understand that the present invention is not limited to the foregoing embodiments. The foregoing embodiments and descriptions are merely illustrative of the principles of the present invention. Various changes and modifications may be made to the present invention without departing from the spirit and scope of the present invention. Such changes and modifications are intended to fall within the scope of the present invention. The scope of protection claimed in the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for preparing a plant extract based on low-temperature plasma modification, characterized in that: include: By analyzing the uniformity of the grape seed embryo thickness, it is determined whether the uniformity of the embryo thickness needs to be optimized; If necessary, determine whether there is a linear relationship between the flaking pressure and the flaking thickness of the grape seeds during flaking. If so, determine the initial pressure value based on the linear relationship. Make the first adjustment to the flaking pressure based on the initial pressure value, and determine the optimization needs of the grape seed crushing rate after the first adjustment; If necessary, determine whether there is a linear influence relationship between the flaking pressure and the grape seed breakage rate during flaking. If so, determine the polyadjusted pressure value of the grape seed flaking pressure based on the linear influence relationship, and determine the adjustability of the secondary adjustment of the flaking pressure in combination with the initial adjustment pressure value; If the flaking pressure can be adjusted twice, the flaking pressure is adjusted twice for the grape seeds according to the polyadjusted pressure value.

2. The method for preparing a plant extract based on low-temperature plasma modification according to claim 1, characterized in that: The specific process of determining whether the uniformity of the green sheet thickness needs to be optimized is as follows: Analyze the uniformity of grape seed embryo thickness to determine the proportion of batches to be optimized and the thickness uniformity deviation ratio; The thickness uniformity index is obtained by multiplying the ratio of the number of batches to be optimized for uniformity by the thickness uniformity deviation ratio. If the thickness uniformity index is greater than or equal to the thickness uniformity index threshold, the thickness uniformity of the grape seed embryo slices after embryo rolling needs to be optimized.

3. The method for preparing a plant extract based on low-temperature plasma modification according to claim 2, characterized in that: The process of obtaining the proportion of the number of batches to be optimized for uniformity is as follows: Obtain the thickness of grape seed embryos after embryo molding for all batches; Calculating the mean and standard deviation of embryo thickness of grape seeds after embryo rolling in any batch of grape seeds to obtain the mean and standard deviation of embryo thickness of the current batch of grape seeds, and performing a ratio processing on the standard deviation of embryo thickness of the current batch of grape seeds to the mean of embryo thickness to obtain the average thickness value of the current batch of grape seeds; If the thickness uniformity value of the current batch of grape seeds is greater than or equal to the thickness uniformity threshold, the corresponding batch of grape seeds will be recorded as a batch to be optimized for uniformity; Calculate the proportion of batches to be optimized for uniformity among all batches.

4. The method for preparing a plant extract based on low-temperature plasma modification according to claim 3, characterized in that: The process of obtaining the thickness uniformity deviation ratio is as follows: The thickness uniformity value corresponding to the batch to be optimized is extracted and subtracted from the thickness uniformity threshold to obtain the thickness uniformity deviation of the batch to be optimized. The thickness uniformity deviations of all batches to be optimized are summed and averaged, and then the average is compared with the thickness uniformity threshold to obtain the thickness uniformity deviation degree ratio.

5. The method for preparing a plant extract based on low-temperature plasma modification according to claim 2, characterized in that: The analysis and judgment process of whether there is a linear influence relationship between the flaking pressure and the flaking thickness of grape seeds during flaking is as follows: Based on different flaking pressures of grape seeds and the thickness uniformity index of the flaking sheets under different flaking pressures, the linear correlation between flaking pressure and thickness uniformity index was calculated by taking the absolute value using the Pearson correlation coefficient formula. If the linear correlation value between the embryo rolling pressure and the thickness uniformity index is greater than or equal to the linear correlation threshold, it indicates that there is a linear influence relationship between the embryo rolling pressure and the thickness uniformity of the grape seed embryo.

6. The method for preparing a plant extract based on low-temperature plasma modification according to claim 2, characterized in that: The specific process of initially adjusting the pressure value is as follows: Constructing a thickness uniformity index variation curve, fitting the thickness uniformity index variation curve using the least squares method, and obtaining a first pressure influence model; The thickness uniformity index and the thickness uniformity index threshold are subjected to difference processing to obtain a uniformity adjustment coefficient, which is input into the first pressure influence model and output to obtain an initial adjustment pressure value.

7. The method for preparing a plant extract based on low-temperature plasma modification according to claim 1, characterized in that: The process of determining the optimization demand for the grape seed crushing rate after the first adjustment is as follows: Grape seeds crushed by flaking were collected and captured using an industrial camera. After analysis, the images of each grape seed particle were exported to Excel. The standard deviation and mean of all grape seed particle size data in the Excel spreadsheet were calculated. The standard deviation and mean of all grape seed particle size data were then compared to obtain the particle size uniformity index. If the particle size uniformity index is greater than or equal to the particle size uniformity index threshold, the grape seed crushing rate needs to be optimized.

8. The method for preparing a plant extract based on low-temperature plasma modification according to claim 7, characterized in that: The analysis and judgment process of whether there is a linear influence relationship between the flaking pressure and the grape seed breakage rate during flaking is as follows: Based on different flaking pressures of grape seeds and the particle size uniformity index of grape seed particles under different flaking pressures, the linear influence value between flaking pressure and particle size uniformity index was calculated by taking the absolute value using the Pearson correlation coefficient formula; If the linear influence value between the flaking pressure and the particle size uniformity index is greater than or equal to the linear influence threshold, it indicates that there is a linear influence relationship between the grape seed flaking pressure and the grape seed breakage rate.

9. The method for preparing a plant extract based on low-temperature plasma modification according to claim 7, characterized in that: The process of obtaining the polyphonic pressure value is as follows: A particle size uniformity index variation curve is constructed and fitted using the least squares method to obtain a second pressure influence model. The particle size uniformity index and the particle size uniformity index threshold are subjected to difference processing to obtain the crushing rate adjustment coefficient, which is input into the second pressure influence model and output to obtain the polyphonic pressure value.

10. The method for preparing a plant extract based on low-temperature plasma modification according to claim 9, characterized in that: The process of determining the adjustability of the secondary adjustment of the flaking pressure is as follows: If the positive and negative values ​​of the re-adjusted pressure value are the same as those of the initial adjustment pressure value, it means that the flaking pressure can be adjusted a second time.

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