A granule size screening and multi-dimensional detection system for traditional Chinese medicine granule production
By using a standard incremental mixing experiment and multi-dimensional testing, the optimal ratio for the production of Chinese herbal granules was determined, achieving closed-loop control of the production process. This solved the problems of inaccurate mixing ratios and incomplete quality testing, thereby improving product consistency and production efficiency.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- SHAANXI UNIV OF CHINESE MEDICINE
- Filing Date
- 2026-02-09
- Publication Date
- 2026-06-19
AI Technical Summary
The lack of scientific benchmarks for mixing ratios in the production of Chinese herbal granules, the single dimension of quality testing, and the absence of closed-loop control in the production process lead to poor component uniformity and uneven granule distribution, affecting product quality and production efficiency.
A standard incremental mixing experiment was conducted using a basic mixing state calibration module. The mass data of powder and granules at each ratio were analyzed by a multi-ratio mixing detection module to determine the optimal ratio. The optimal ratio was then monitored and adjusted in real time in the optimal ratio screening production module to ensure product quality.
It improves the process precision and quality stability of Chinese medicine granule production, enhances batch consistency and production efficiency, reduces raw material waste, and ensures comprehensive testing and optimization of granule quality.
Smart Images

Figure CN122238162A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of particle screening and detection technology, specifically to a particle size screening and multi-dimensional detection system for the production of traditional Chinese medicine granules. Background Technology
[0002] In the production of Chinese medicine granules, the uniformity of mixing of Chinese medicine powder and excipients, particle size distribution and granule quality directly determine the efficacy and stability of the product. Therefore, a particle size screening and multi-dimensional detection system for the production of Chinese medicine granules is needed.
[0003] The existing solutions have the following technical problems: 1. Lack of scientific benchmark for mixing ratio control: Traditional production relies on experience to set the ratio of auxiliary materials, and has not established a benchmark for the relationship between mixing state and particle quality through standardized experiments. This results in large differences in the uniformity of composition and particle distribution of mixed powders in different batches, which directly affects the subsequent granulation effect.
[0004] 2. Limited Quality Inspection Dimensions: Existing inspections often focus on single indicators such as particle size screening or particle breakage resistance, neglecting key parameters such as powder bulk density, angle of repose, and particle composition uniformity index. This makes it difficult to comprehensively reflect the quality of mixing and particles, and can easily lead to misjudgments that some parts are qualified but the whole is not, resulting in unqualified products entering the market.
[0005] 3. Lack of closed-loop control in the production process: Existing technologies lack an integrated mechanism for benchmark calibration, proportion screening, and real-time adjustment. The screening of auxiliary material proportions lacks quantitative analysis. Without comparing comprehensive indicators such as powder quality index and particle state index through multi-proportion experiments, it is difficult to determine the optimal mixing ratio. This results in low efficiency in optimizing production process parameters. If uneven mixing or substandard particle quality occurs during production, it is impossible to quickly locate the problem and dynamically optimize process parameters. This not only wastes raw materials but also seriously affects production efficiency and product quality stability. Summary of the Invention
[0006] To address the aforementioned technical shortcomings, the present invention aims to provide a particle size screening and multi-dimensional detection system for the production of traditional Chinese medicine granules.
[0007] To solve the above technical problems, the present invention adopts the following technical solution: The present invention provides a particle size screening and multi-dimensional detection system for the production of traditional Chinese medicine granules, including the following modules: a basic mixing state calibration module, used to conduct a standard incremental mixing experiment, thereby collecting standard mixed powder mass data and standard mixed granule mass data, analyzing the standard mixed powder mass data and standard mixed granule mass data, and setting mixing detection standard data.
[0008] The multi-ratio mixing detection module is used to conduct mixing experiments using a progressive addition method at various ratios, thereby collecting mass data of mixed powder and mixed particles at each ratio. Based on the mixing detection standard data, the mass data of mixed powder and mixed particles at each ratio are analyzed to obtain the optimal ratio.
[0009] The optimal ratio screening production module is used to produce Chinese medicine granules according to the optimal ratio, and then to monitor the production process.
[0010] Preferably, the analysis of the mass data of the mixed particles in each usable proportion is carried out in the following specific process: the mass data of the mixed particles in each usable proportion includes the particle breakage resistance, screen passing rate, screen clogging rate, particle composition uniformity index, bulk density, angle of repose and moisture content of the powder in each usable proportion.
[0011] The particle breakage resistance, sieve passing rate, sieve clogging rate, and particle composition uniformity index of each available proportion of powder were analyzed to obtain the particle mass index of each available proportion of powder. The available proportion of powder with a particle mass index greater than the standard particle mass index was recorded as the preferred proportion of powder.
[0012] The bulk density and angle of repose of each preferred proportion powder are analyzed to obtain the particle state index of each preferred proportion powder. The preferred proportion powder with the largest particle state index is recorded as the optimal proportion powder, and the proportion corresponding to the optimal proportion powder is the optimal proportion.
[0013] The beneficial effects of this invention are as follows: 1. This invention first collects data such as the relative standard deviation of powder components and the granule's resistance to breakage through a standard incremental mixing experiment, and analyzes the standard mass index of powder and granules as a testing benchmark; secondly, it conducts an incremental mixing experiment according to a preset ratio, first screening out the usable ratio that meets the benchmark, and then analyzing the granule quality to determine the optimal mixing ratio; finally, it produces according to the optimal ratio, and collects the mass and state index of powder and granules in real time. If a single index fails to meet the standard during monitoring, it is remixed; if two indexes fail to meet the standard, the optimal ratio is reset. This invention improves the precision of the process and the stability of quality, and increases the efficiency of large-scale standardized production of traditional Chinese medicine granules.
[0014] 2. This invention uses a basic mixing state calibration module to quantitatively obtain the powder standard quality index and particle standard quality index through a standard incremental mixing experiment. This replaces the existing technology's experience-based, non-benchmark control mode, providing a unified evaluation basis for mixing state and particle quality. It effectively eliminates the differences in component uniformity and particle distribution caused by parameter fluctuations in different batches of production, and significantly improves product batch consistency.
[0015] 3. This invention provides comprehensive multi-dimensional testing to avoid misjudgments of partial compliance. In multi-ratio screening and production monitoring, this invention simultaneously collects multi-dimensional data such as relative standard deviation of components, bulk density, angle of repose, moisture content, and particle angle of repose. It evaluates product performance from the perspectives of powder state, particle quality, and the entire chain, improving the accuracy of identifying potential risks of single-indicator compliance but overall quality non-compliance, and thus improving the quality of the final product.
[0016] 4. This invention uses a multi-proportion mixing detection module for quantitative analysis, first screening the usable proportion and then evaluating the particle state index. This replaces the existing technology's experience-based trial-and-error proportion selection, which can accurately locate the optimal mixing ratio of Chinese medicine powder and excipients. This improves core indicators such as mixing uniformity, particle breakage resistance, and sieve passing rate, thereby enhancing the efficacy stability and safety of Chinese medicine granules.
[0017] 5. The optimal ratio screening production module of this invention is equipped with a real-time monitoring and hierarchical adjustment mechanism. When a single indicator fails to meet the standard, it can be quickly corrected by remixing. When two indicators fail to meet the standard, a new optimal ratio is promptly reset, which reduces the amount of raw material waste caused by production interruptions due to quality problems in existing technologies. At the same time, the system continuously improves detection, adjustment and optimization, which improves production efficiency and quality stability in the long term. Attached Figure Description
[0018] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0019] Figure 1 This is a schematic diagram of the system structure connection of the present invention. Detailed Implementation
[0020] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.
[0021] according to Figure 1 As shown, the present invention provides a particle size screening and multi-dimensional detection system for the production of traditional Chinese medicine granules, including the following modules: a basic mixing state calibration module, a multi-ratio mixing detection module, an optimal ratio screening production module, and a database.
[0022] The multi-ratio mixing detection module is connected to the basic mixing state calibration module and the optimal ratio screening production module, respectively. The basic mixing state calibration module, the multi-ratio mixing detection module, and the optimal ratio screening production module are all connected to the database.
[0023] The basic mixing state calibration module is used to conduct standard incremental mixing experiments to collect standard mixed powder mass data and standard mixed particle mass data, analyze the standard mixed powder mass data and standard mixed particle mass data, and set mixing detection standard data.
[0024] In one specific embodiment, the standard incremental mixing experiment is carried out as follows: the mass of Chinese medicine powder is obtained from the database, the Chinese medicine powder is mixed with excipient powder of the same mass to obtain standard incremental mixed powder, and this mixture is used to mix each batch of standard Chinese medicine powder to obtain standard incremental primary mixed powder, and the mass data of standard mixed powder is collected from the standard incremental primary mixed powder.
[0025] The primary mixed powder of the standard additive method is continuously mixed with the same mass until the mass of the traditional Chinese medicine powder and the excipient powder are completely mixed. Granulation is then carried out to obtain standard additive mixed granules. The standard additive mixed granules are filtered to collect the mass data of the standard mixed granules.
[0026] In one specific embodiment, the acquisition process for the standard mixed powder quality data and the standard mixed particle quality data is as follows: the standard mixed powder quality data includes the relative standard deviation of the composition of the primary mixed powder obtained by the standard additive method and the powder distribution uniformity index; the standard mixed particle quality data includes the particle breakage resistance, screen passing rate, screen clogging rate and particle composition uniformity index of the mixed particles obtained by the standard additive method.
[0027] Multiple samples were randomly selected from the primary mixed powder using the standard incremental method. The content of characteristic components in the samples was determined by high performance liquid chromatography. The standard deviation of the content of characteristic components in all samples was calculated and then divided by the average value to obtain the relative standard deviation of the components. The particle size distribution of the primary mixed powder was detected by a laser particle size analyzer to obtain the particle proportion of each particle size range. The powder distribution uniformity index was calculated by using the algorithm of the uniformity index calculation formula.
[0028] It should be noted that the particle size ranges are set by the staff, and the specific values can be obtained by the staff through experience or by searching on the Internet. The uniformity index calculation formula is a specific algorithm, such as the uniformity calculation formula in "Near Infrared Spectroscopy Method for Online Detection of Powder Mixing Uniformity in Traditional Chinese Medicine Production Process". The calculation result is recorded as the powder distribution uniformity index. This is existing technology and can be found on the Internet, so it will not be elaborated further.
[0029] The particle crushing resistance is obtained by placing the particles in a specific frequency oscillator for a preset time using the vibrating sieving method. The proportion of fine powder generated during crushing is measured, and the fine powder proportion threshold is divided by the collected fine powder proportion. A standard test sieve with a preset particle size is selected, and a preset mass of mixed particles is placed on the sieve. The sieve is vibrated for a preset time using a mechanical vibrating sieve machine. The particles that pass through the sieve are collected and weighed to obtain the mass of particles that pass through the sieve. The mass of particles that pass through the sieve is divided by the preset mass to obtain the sieve passing rate. The unpassed particles and adhering powder remaining on the sieve surface are collected and weighed to obtain the mass of particles that clog the sieve holes. The mass of particles that clog the sieve holes is divided by the preset mass to obtain the sieve clogging rate. The particle size distribution of the standard additive method mixed particles is detected using a laser particle size analyzer to obtain the particle proportion of each particle size range. The particle distribution uniformity index of the standard additive method mixed particles is calculated using the algorithm of the uniformity index calculation formula.
[0030] It should be noted that the preset time and preset quality are both set by staff, obtained through experience or internet searches.
[0031] In one specific embodiment, the analysis of the standard mixed powder quality data and the standard mixed particle quality data is carried out as follows: the relative standard deviation of the composition and the powder particle distribution uniformity index of the primary mixed powder of the standard additive method are averaged to obtain the relative standard deviation of the composition and the powder distribution uniformity index of the primary mixed powder of the standard additive method. After normalization, the weighted calculation is performed to obtain the powder standard quality index.
[0032] It should be noted that the weighted calculation process after normalizing the powder quality data is as follows: Subtract the relative standard deviation of the component from the relative standard deviation threshold, then divide by the relative standard deviation threshold to obtain the normalized value of the relative standard deviation of the component. Divide the powder distribution uniformity index by the powder distribution uniformity index threshold to obtain the normalized value of the powder distribution uniformity index. Retrieve the preset weighting factors for the relative standard deviation of the component and the powder distribution uniformity index from the database. Multiply the normalized value of the relative standard deviation of the component and the normalized value of the powder distribution uniformity index by their respective weighting factors, and then add them together to obtain the powder quality index. This normalized value of the relative standard deviation of the component and the powder distribution uniformity index of the primary mixed powder using the standard incremental method are then weighted and calculated to obtain the powder quality index of the primary mixed powder using the standard incremental method, denoted as the powder standard quality index.
[0033] The relative standard deviation threshold of the components is a key judgment threshold determined through a large number of standard incremental mixing experiments during the basic mixing state calibration stage. It is used to measure the qualified critical value of the component uniformity after the traditional Chinese medicine powder and excipients are mixed. The specific value is set by the staff. The powder distribution uniformity index threshold is used to judge the critical benchmark value of the uniformity of powder particle distribution. It is an important indicator to measure whether the size distribution of powder particles meets the requirements of the subsequent granulation process. The specific value is set by the staff.
[0034] The relative standard deviation weighting factor of the ingredients and the powder distribution uniformity index weighting factor are obtained by staff through experience or internet search, and the specific values are set by staff.
[0035] Based on the method for obtaining the powder standard quality index, the standard mixed particle quality data is normalized and then weighted to obtain the particle standard quality index.
[0036] It should be noted that the weighted calculation process after normalizing the particle quality data is as follows: The particle breakage resistance is divided by the particle breakage resistance threshold to obtain the normalized particle breakage resistance value; the screen throughput is divided by the screen throughput threshold to obtain the normalized screen throughput value; the screen clogging rate threshold is subtracted from the screen clogging rate, and then divided by the screen clogging rate threshold to obtain the normalized screen clogging rate value; the particle composition uniformity index is divided by the particle composition uniformity index threshold to obtain the normalized particle composition uniformity index value; the particle breakage resistance weight factor, screen throughput weight factor, screen clogging rate weight factor, and particle composition uniformity index weight factor are obtained from the database; the normalized particle breakage resistance value, screen throughput value, screen clogging rate value, and particle composition uniformity index value are multiplied by their respective weight factors, and then summed to obtain the particle quality index. This is used to normalize and weight the standard mixed particle quality data to obtain the particle quality index of the standard incremental mixed particles, denoted as the particle standard quality index.
[0037] The particle breakage resistance threshold refers to the minimum critical value of the anti-breakage performance that can ensure that Chinese medicine granules are not easily broken during subsequent packaging, transportation and storage. The specific value is set by the staff.
[0038] The sieve passing rate threshold refers to the minimum qualified percentage of particles that pass through a sieve of a specified specification. It is determined through standard experiments to ensure that the particle size meets the standard. The specific value is set by the staff.
[0039] The screen clogging rate threshold refers to the maximum allowable proportion of a screen to be clogged by particles or powder. Based on production efficiency and screen cleaning costs, the maximum degree of clogging that will not affect screening efficiency is determined experimentally; the specific value is set by the staff.
[0040] The particle composition uniformity index threshold refers to the minimum acceptable index for measuring the uniformity of the distribution of active ingredients in particles. Based on the requirements for drug efficacy stability, the minimum uniformity index that ensures the differences in composition between particles are within the allowable range is determined through standard experiments. The specific value is set by the staff.
[0041] The weighting factors for particle breakage resistance, screen throughput, screen clogging rate, and particle composition uniformity index are obtained by staff through experience or internet searches, and the specific values are set by staff.
[0042] This yields mixed test standard data: powder standard quality index and particle standard quality index.
[0043] The multi-ratio mixing detection module is used to conduct mixing experiments using a progressive addition method at various ratios, thereby collecting mass data of mixed powder and mixed particles at each ratio. Based on the mixing detection standard data, the mass data of mixed powder and mixed particles at each ratio are analyzed to obtain the optimal ratio.
[0044] In one specific embodiment, the mixing experiment using the incremental addition method is carried out as follows: the preset proportions are obtained from the database, the values of each proportion are multiplied by the mass of the Chinese medicine powder to obtain the mass of the Chinese medicine powder excipients for each proportion, the Chinese medicine powder is mixed with the excipients of each proportion to obtain the mixed powder for each proportion, and the mass data of the mixed powder for each proportion are collected from the mixed powder for each proportion.
[0045] It should be noted that the ratios are: the ratio of the mass of the excipient to the mass of the unit mass when the target powder is mixed with the excipient, for example, 0.9, 1.1 and 1.3.
[0046] After the powders in each proportion are mixed, they are granulated to obtain mixed particles in each proportion. The mixed particles in each proportion are then filtered, and the mass data of the mixed particles in each proportion are collected.
[0047] In one specific embodiment, the collection of mixed powder mass data and mixed particle mass data at each proportion is carried out as follows: the mixed powder mass data at each proportion includes the relative standard deviation of the composition, particle distribution uniformity index, bulk density, angle of repose, and moisture content of each proportion of powder. The relative standard deviation of the composition and particle distribution uniformity index of each proportion of powder are obtained according to the collection process of standard mixed powder mass data. The bulk density is collected by an automatic bulk density meter, the angle of repose is collected by an angle of repose measuring instrument, and the moisture content is collected by a halogen moisture meter.
[0048] The mass data of mixed particles for each usable proportion includes particle breakage resistance, sieve passing rate, sieve clogging rate, particle composition uniformity index, bulk density, angle of repose, and moisture content. Based on the collection process of standard mixed particle mass data, the particle breakage resistance, sieve passing rate, sieve clogging rate, and particle composition uniformity index of powder for each usable proportion are obtained. Bulk density is collected by an automatic bulk density meter, angle of repose is collected by an angle of repose measuring instrument, and moisture content is collected by a halogen moisture meter.
[0049] In one specific embodiment, the analysis of the mixed powder mass data and mixed particle mass data of each proportion is carried out as follows: the mixed powder mass data of each proportion is analyzed to obtain each usable proportion, and the mixed particle mass data of each usable proportion is obtained from the mixed particle mass data of each proportion. The mixed particle mass data of each usable proportion is analyzed to obtain the optimal proportion.
[0050] In one specific embodiment, the analysis of the quality data of the mixed powders at each proportion is carried out as follows: the relative standard deviation of the composition and the powder distribution uniformity index of each proportion of powder are analyzed to obtain the powder quality index of each proportion of powder, and each proportion of powder with a powder quality index greater than the standard powder quality index is recorded as a qualified powder.
[0051] It should be noted that, based on the process of obtaining the powder quality index, the relative standard deviation of the composition and the powder distribution uniformity index of each proportion of powder are analyzed to obtain the powder quality index of each proportion of powder.
[0052] The bulk density, angle of repose, and moisture content of each qualified powder are analyzed to obtain the powder state index of each qualified powder. The powders are sorted in descending order of powder state index to obtain the powder ratio sequence of each qualified powder. The qualified powders with a preset number of each powder ratio sequence are recorded as each usable ratio powder, and the ratio corresponding to each usable powder is recorded as each usable ratio.
[0053] It should be noted that the state index analysis process is as follows: Subtract the bulk density threshold from the bulk density, and then divide by the bulk density threshold to obtain the normalized bulk density value; subtract the angle of repose threshold from the angle of repose, and then divide by the angle of repose threshold to obtain the normalized angle of repose value; subtract the moisture content threshold from the moisture content, and then divide by the moisture content threshold to obtain the normalized moisture content value; obtain the bulk density weight factor, angle of repose weight factor, and moisture content weight factor from the database; multiply the normalized bulk density value, angle of repose value, and moisture content value by their respective weight factors, and then add them together to obtain the state index. This index is used to analyze the bulk density, angle of repose, and moisture content of each qualified powder to obtain the state index of each qualified powder, which is denoted as the powder state index of each qualified powder.
[0054] Bulk density threshold: This refers to the critical bulk density value that ensures a balance between flowability and filling properties of the mixed powder during granulation. It is usually set based on the optimal feed requirements of the granulation equipment, and the specific value is set by the operator.
[0055] Angle of repose threshold: refers to the critical angle value for measuring powder flowability. It is set according to the feeding and mixing requirements of the granulation equipment, and the specific value is set by the staff.
[0056] Moisture content threshold: This refers to the maximum allowable moisture content that ensures the mixed powder is easily formed during granulation and that the granules do not easily absorb moisture and deteriorate. The specific value is determined by the staff, taking into account the characteristics of the traditional Chinese medicine powder and the requirements of the granulation process.
[0057] The bulk density weighting factor, angle of repose weighting factor, and moisture content weighting factor were obtained by staff through experience or internet searches, and the specific values were set by staff.
[0058] In one specific embodiment, the analysis of the mixed particle mass data of each available proportion is carried out as follows: the particle breakage resistance, screen passing rate, screen clogging rate, and particle composition uniformity index of each available proportion powder are analyzed to obtain the particle mass index of each available proportion powder. Each available proportion powder with a particle mass index greater than the standard particle mass index is recorded as a preferred proportion powder.
[0059] It should be noted that, based on the process of obtaining the particle mass index, the particle breakage resistance, screen passing rate, screen clogging rate, and particle composition uniformity index of each available proportion of powder are analyzed to obtain the particle mass index of each available proportion of powder.
[0060] The bulk density, angle of repose, and moisture content of each preferred proportion powder were analyzed to obtain the particle state index of each preferred proportion powder. The preferred proportion powder with the largest particle state index was recorded as the optimal proportion powder, and the proportion corresponding to the optimal proportion powder was the optimal proportion.
[0061] It should be noted that, based on the process of obtaining the state index, the bulk density, angle of repose, and moisture content of each preferred proportion of powder are analyzed to obtain the state index of each preferred proportion of powder, which is denoted as the particle state index of each preferred proportion of powder.
[0062] The optimal ratio screening production module is used to produce Chinese medicine granules according to the optimal ratio, and then to monitor the production process.
[0063] In one specific embodiment, the production of traditional Chinese medicine granules according to the optimal ratio is specifically analyzed as follows: the mass of the traditional Chinese medicine powder is multiplied by the optimal ratio to obtain the mass of the first mixed excipient; the mass of the traditional Chinese medicine powder is mixed with the mass of the first mixed excipient to obtain the first mixed powder; the mass of the first mixed powder is collected simultaneously; the mass of the first mixed powder is multiplied by the optimal ratio to obtain the mass of the second mixed excipient; the first mixed powder is mixed with the excipients of the second mixed excipient to obtain the second mixed powder; the traditional Chinese medicine powder is mixed in this way to obtain the traditional Chinese medicine production mixed powder; the mass data of the traditional Chinese medicine production mixed powder is collected; the traditional Chinese medicine production mixed powder is granulated to obtain the mass data of the traditional Chinese medicine production mixed granules.
[0064] It should be noted that the quality data of mixed powders in the production of traditional Chinese medicine includes the relative standard deviation of the components of the mixed powders, particle distribution uniformity index, bulk density, angle of repose, and moisture content. Based on the collection process of mixed powder quality data for each proportion, the quality data of mixed granules in the production of traditional Chinese medicine is obtained. The quality data of mixed granules in the production of traditional Chinese medicine includes the particle breakage resistance, sieve passing rate, sieve clogging rate, particle component uniformity index, bulk density, angle of repose, and moisture content of the mixed granules. Based on the collection process of mixed granule quality data for each available proportion, the quality data of mixed granules in the production of traditional Chinese medicine is obtained.
[0065] The quality data of mixed powders produced by traditional Chinese medicine production were analyzed to obtain the powder quality index and powder state index. The quality data of mixed granules produced by traditional Chinese medicine production were also analyzed to obtain the granule quality index and granule state index.
[0066] It should be noted that, based on the process of obtaining the powder quality index and the state index, the quality data of the mixed powder in the production of traditional Chinese medicine are analyzed to obtain the powder quality index and the powder state index of the mixed powder in the production of traditional Chinese medicine. Based on the process of obtaining the particle quality index and the state index, the quality data of the mixed particles in the production of traditional Chinese medicine are analyzed to obtain the particle quality index and the particle state index of the mixed powder in the production of traditional Chinese medicine.
[0067] In one specific embodiment, the production monitoring process is as follows: If the powder quality index of the mixed powder of traditional Chinese medicine production is less than the powder quality index of the powder with the optimal ratio, or if the powder state index of the mixed powder of traditional Chinese medicine production is less than the powder state index of the powder with the optimal ratio, the powder is mixed again. If the powder quality index of the mixed powder of traditional Chinese medicine production is less than the powder quality index of the powder with the optimal ratio, and the powder state index of the mixed powder of traditional Chinese medicine production is less than the powder state index of the powder with the optimal ratio, the optimal ratio is obtained again and recorded as the new optimal ratio. The new optimal ratio is used in subsequent production.
[0068] If the particle mass index of the mixed powder produced by traditional Chinese medicine production is less than that of the optimal proportion powder, or if the particle state index of the mixed powder produced by traditional Chinese medicine production is less than that of the optimal proportion powder, the particles are broken up and mixed again. If the particle mass index of the mixed powder produced by traditional Chinese medicine production is less than that of the optimal proportion powder, and the particle state index of the mixed powder produced by traditional Chinese medicine production is less than that of the optimal proportion powder, the optimal proportion is obtained again and recorded as the new optimal proportion. The new optimal proportion is used in subsequent production.
[0069] The database stores the quality of Chinese medicine powder, preset proportions, relative standard deviation weighting factors of components, powder distribution uniformity index weighting factors, particle breakage resistance weighting factors, sieve passing rate weighting factors, sieve clogging rate weighting factors, particle component uniformity index weighting factors, bulk density weighting factors, angle of repose weighting factors, and moisture content weighting factors.
[0070] The mixing, granulation, and dispersion described in this invention are all routine operations in the pharmaceutical powder granulation process and are all existing technologies that can be found on the Internet, so they will not be described in detail here.
[0071] The examples described in this invention are not limited to the specific embodiments listed above. The examples are merely illustrative to facilitate understanding of the invention and do not constitute a limitation on the scope of protection of this invention. Any modifications, equivalent substitutions, etc., made within the spirit and principles of this invention should be included within the scope of protection.
[0072] The examples described in this invention are not limited to the specific embodiments listed above. The examples are merely illustrative to facilitate understanding of the invention and do not constitute a limitation on the scope of protection of this invention. Any modifications, equivalent substitutions, etc., made within the spirit and principles of this invention should be included within the scope of protection.
[0073] The above description is merely an example and illustration of the concept of the present invention. Those skilled in the art can make various modifications or additions to the specific embodiments described or use similar methods to replace them, as long as they do not deviate from the concept of the invention or exceed the scope defined in this specification, they should all fall within the protection scope of the present invention.
Claims
1. A particle size screening and multi-dimensional detection system for traditional Chinese medicine granule production, characterized in that, Includes the following modules: The basic mixing state calibration module is used to conduct standard incremental mixing experiments to collect standard mixed powder mass data and standard mixed particle mass data, analyze the standard mixed powder mass data and standard mixed particle mass data, and set mixing detection standard data; The multi-ratio mixing detection module is used to conduct mixing experiments using the incremental addition method at various ratios, thereby collecting mass data of mixed powder and mixed particles at each ratio. Based on the mixing detection standard data, the mass data of mixed powder and mixed particles at each ratio are analyzed to obtain the optimal ratio. The optimal ratio screening production module is used to produce Chinese medicine granules according to the optimal ratio, and then to monitor the production process.
2. The granulometry screening and multi-dimensional detection system for traditional Chinese medicine granules production according to claim 1, characterized in that, The standard incremental mixing experiment was conducted, and the specific experimental procedure is as follows: The mass of Chinese medicine powder is obtained from the database. The Chinese medicine powder is mixed with excipient powder of the same mass to obtain a standard additive mixed powder. This mixture is then used to mix each batch of standard Chinese medicine powder to obtain a standard additive primary mixed powder. Mass data of the standard mixed powder is collected from the standard additive primary mixed powder. The primary mixed powder of the standard additive method is continuously mixed with the same mass until the mass of the traditional Chinese medicine powder and the excipient powder are completely mixed. Granulation is then carried out to obtain standard additive mixed granules. The standard additive mixed granules are filtered to collect the mass data of the standard mixed granules.
3. The granulometry screening and multi-dimensional detection system for traditional Chinese medicine granules production according to claim 2, characterized in that, The analysis of the standard mixed powder mass data and the standard mixed particle mass data is as follows: The standard mixed powder quality data includes the relative standard deviation of the composition and the powder distribution uniformity index of the primary mixed powder of the standard additive method. The standard mixed particle quality data includes the particle breakage resistance, screen passing rate, screen clogging rate and particle composition uniformity index of the mixed particles of the standard additive method. The relative standard deviation of the composition and the powder particle distribution uniformity index of the primary mixed powder of the standard additive method are calculated by averaging, and then the powder standard quality index is obtained by normalization and weighted calculation. Based on the method for obtaining the standard mass index of powder, the mass data of standard mixed particles are analyzed to obtain the standard mass index of particles. This yields mixed test standard data: powder standard quality index and particle standard quality index.
4. The particle size screening and multi-dimensional detection system for the production of traditional Chinese medicine granules according to claim 3, characterized in that, The specific experimental procedure for conducting the mixing experiment using the incremental addition method at various ratios is as follows: Retrieve preset proportions from the database, multiply the value of each proportion by the mass of Chinese medicine powder to obtain the mass of Chinese medicine powder excipients for each proportion, mix the Chinese medicine powder with the excipients of each proportion to obtain mixed powders for each proportion, and collect the mass data of the mixed powders for each proportion from the mixed powders for each proportion. After the powders in each proportion are mixed, they are granulated to obtain mixed particles in each proportion. The mixed particles in each proportion are then filtered, and the mass data of the mixed particles in each proportion are collected.
5. The particle size screening and multi-dimensional detection system for the production of traditional Chinese medicine granules according to claim 4, characterized in that, The analysis of the mass data of the mixed powders and mixed particles at various ratios is as follows: The mass data of the mixed powders at each ratio are analyzed to obtain the usable ratios. The mass data of the mixed particles at each ratio are then obtained from the mass data of the mixed particles at each ratio. The mass data of the mixed particles at each usable ratio are analyzed to obtain the optimal ratio.
6. The particle size screening and multi-dimensional detection system for the production of traditional Chinese medicine granules according to claim 5, characterized in that, The analysis of the mass data of the mixed powders at each ratio is as follows: The quality data of the mixed powders at each proportion include the relative standard deviation of the composition, particle distribution uniformity index, bulk density, angle of repose and moisture content of each proportion of powder. The relative standard deviation of the composition and the powder distribution uniformity index of each proportion of powder are analyzed to obtain the powder quality index of each proportion of powder. Powders with a powder quality index greater than the standard powder quality index are recorded as qualified powders. The bulk density, angle of repose, and moisture content of each qualified powder are analyzed to obtain the powder state index of each qualified powder. The powders are sorted in descending order of powder state index to obtain the powder ratio sequence of each qualified powder. The qualified powders with a preset number of each powder ratio sequence are recorded as each usable ratio powder, and the ratio corresponding to each usable powder is recorded as each usable ratio.
7. The particle size screening and multi-dimensional detection system for the production of traditional Chinese medicine granules according to claim 6, characterized in that, The analysis of the mass data of mixed particles at various available ratios is as follows: The mass data of mixed particles for each available proportion include the particle breakage resistance, screen passing rate, screen clogging rate, particle composition uniformity index, bulk density, angle of repose, and moisture content of each available proportion of powder. The particle breakage resistance, screen passing rate, screen clogging rate, and particle composition uniformity index of each available proportion powder were analyzed to obtain the particle mass index of each available proportion powder. The available proportion powders with particle mass index greater than the particle standard mass index were recorded as the preferred proportion powders. The bulk density and angle of repose of each preferred proportion powder are analyzed to obtain the particle state index of each preferred proportion powder. The preferred proportion powder with the largest particle state index is recorded as the optimal proportion powder, and the proportion corresponding to the optimal proportion powder is the optimal proportion.
8. The particle size screening and multi-dimensional detection system for the production of traditional Chinese medicine granules according to claim 6, characterized in that, The specific analysis process for producing traditional Chinese medicine granules according to the optimal ratio is as follows: Multiply the mass of the Chinese herbal powder by the optimal ratio to obtain the mass of the first mixed excipient. Mix the Chinese herbal powder mass with the mass of the first mixed excipient to obtain the first mixed powder. Simultaneously, collect the mass of the first mixed powder. Multiply the mass of the first mixed powder by the optimal ratio to obtain the mass of the second mixed excipient. Mix the first mixed powder with the excipient mass of the second mixed excipient to obtain the second mixed powder. Mix the Chinese herbal powder in this way to obtain the Chinese herbal production mixed powder. Collect the mass data of the Chinese herbal production mixed powder. Granulate the Chinese herbal production mixed powder to obtain the mass data of the Chinese herbal production mixed granules. The quality data of mixed powders produced by traditional Chinese medicine production were analyzed to obtain the powder quality index and powder state index. The quality data of mixed granules produced by traditional Chinese medicine production were also analyzed to obtain the granule quality index and granule state index.
9. The particle size screening and multi-dimensional detection system for the production of traditional Chinese medicine granules according to claim 8, characterized in that, The production monitoring process is as follows: If the powder quality index of the mixed powder produced by traditional Chinese medicine production is less than the powder quality index of the powder with the optimal ratio, or if the powder state index of the mixed powder produced by traditional Chinese medicine production is less than the powder state index of the powder with the optimal ratio, the powder shall be mixed again. If the powder quality index of the mixed powder produced by traditional Chinese medicine production is less than the powder quality index of the powder with the optimal ratio, and the powder state index of the mixed powder produced by traditional Chinese medicine production is less than the powder state index of the powder with the optimal ratio, the optimal ratio shall be obtained again and recorded as the new optimal ratio. The new optimal ratio shall be used in subsequent production. If the particle mass index of the mixed powder produced by traditional Chinese medicine production is less than that of the optimal proportion powder, or if the particle state index of the mixed powder produced by traditional Chinese medicine production is less than that of the optimal proportion powder, the particles are broken up and mixed again. If the particle mass index of the mixed powder produced by traditional Chinese medicine production is less than that of the optimal proportion powder, and the particle state index of the mixed powder produced by traditional Chinese medicine production is less than that of the optimal proportion powder, the optimal proportion is obtained again and recorded as the new optimal proportion. The new optimal proportion is used in subsequent production.
10. The particle size screening and multi-dimensional detection system for the production of traditional Chinese medicine granules according to claim 1, characterized in that, It also includes a database for storing the quality of Chinese medicine powders and preset proportions.