CN119007919B - Probiotic composition network regulation and control method and system based on intestinal environment steady state - Google Patents
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Abstract
本发明公开了基于肠道环境稳态的益生菌组合物网络调控方法及系统，涉及生物配制监管调节技术领域，该方法先通过提取益生菌复合体的菌株配制样本数据进行处理，进而筛分益生菌复合体的指定菌株配制样本，然后在配制过程中根据益生菌组合物特性而对搅拌器和真空冷冻干燥机进行适应性调节，解决了当前仅以单一模式的控制切换而进行生物配制所导致的调节精度不足和适应性不强的问题，本发明不仅促进增强益生菌组合物配制的整体一致性和稳定性，还可以最大限度地保护益生菌的生物活性和功能性。
The present invention discloses a network control method and system for a probiotic composition based on intestinal environmental homeostasis, and relates to the technical field of biological preparation supervision and regulation. The method first extracts the strain preparation sample data of the probiotic complex for processing, and then screens the specified strain preparation sample of the probiotic complex. Then, during the preparation process, the agitator and the vacuum freeze dryer are adaptively adjusted according to the characteristics of the probiotic composition, thereby solving the problems of insufficient adjustment accuracy and poor adaptability caused by the current biological preparation with only a single mode of control switching. The present invention not only promotes the enhancement of the overall consistency and stability of the preparation of the probiotic composition, but also can protect the biological activity and functionality of the probiotics to the maximum extent.
Description
Technical Field
The invention relates to the technical field of biological preparation supervision and regulation, in particular to a probiotic composition network regulation method and system based on intestinal environment steady state.
Background
The probiotic composition is composed of a plurality of probiotic strains, can regulate the balance of intestinal flora, promote nutrient absorption and improve human immunity, and the probiotic function of the probiotic composition is often superior to that of a single strain.
The prior art, such as the invention patent with publication number CN117075467B, is a self-adaptive automatic regulating control system suitable for biological oil preparation, comprising a control device; the self-adaptive control system is internally provided with a preparation module and a combination module, and the self-adaptive control system can automatically switch the operation mode of the reaction system according to different reaction amounts and reaction times, namely, the self-adaptive control system can automatically adjust the parallel mode from a series mode to any one mode according to the increase of the reaction amounts and the reaction times, and can switch different parallel modes, and can switch the parallel mode from any one mode to the series mode according to the gradual decrease of the reaction amounts and the reaction times, so as to achieve the self-adaptive purpose.
The prior art, such as the patent of the invention with the publication number of CN116449809B, is a fault processing method, a device, an electronic device and a storage medium, and relates to the technical field of biological detection. The uncertainty and diversity of the scene are covered by the fault processing mechanism, the fixed processing flow is prevented from being solidified in the code according to some assumed fault scenes, recompilation and programming procedures are not required to be modified each time, and the fault processing efficiency is improved.
In summary, in the present formulation supervision for biological aspect, there are limitations that firstly, for the adjustment in the formulation supervision process, only a single mode of control is often used for switching, and secondly, the supervision is placed on the formulation equipment, because different biological characteristics are required to be considered in the biological formulation aspect, the biological characteristics are different, and the requirement for the formulation adjustment is inconsistent, but the single mode of control adjustment cannot be fully adapted to the specific biological formulation requirement, so in the present biological formulation supervision, the problems of insufficient adjustment precision and poor adaptability exist.
Disclosure of Invention
Aiming at the defects of the prior art, the invention provides a probiotic composition network regulation and control method and system based on intestinal environment steady state, which can effectively solve the problems related to the background art.
The method for regulating and controlling the probiotic composition network based on the intestinal environment steady state comprises the steps of counting a plurality of complexes in the probiotic composition, marking the complexes as probiotic complexes, and extracting strain preparation sample data of the probiotic complexes from a supervision cloud center and inputting the strain preparation sample data to a data processing server.
The data processing server takes over strain preparation sample data of the probiotic complexes for processing, synchronously screens designated strain preparation samples of the probiotic complexes, and extracts pre-prepared strains of the probiotic complexes therefrom.
The pre-formulated strain of the probiotic composite is mixed and stirred by a stirrer, the stirring operation of the stirrer is subjected to sensing adjustment, and the mixed and stirred liquid is marked as a liquid probiotic composition.
The liquid probiotic composition is processed by a vacuum freeze dryer, the operation of the vacuum freeze dryer is subjected to sensing adjustment, and the solid matters after vacuum freeze drying are recorded as the solid probiotic composition.
As a preferred technical solution, the strain preparation sample data of the probiotic composite comprises scanning electron microscopic images corresponding to the inoculating culture dishes of each activated strain.
The preparation method comprises the steps of counting scanning electron microscopic images corresponding to each activated strain inoculation culture dish of the probiotic composite body, extracting characteristic data from the scanning electron microscopic images, and generating strain quality inspection index coefficients corresponding to each activated strain inoculation culture dish of the probiotic composite body based on the characteristic data, wherein the strain quality inspection index coefficients are used for quantitatively characterizing the strain quality in the activated strain inoculation culture dish.
According to the strain quality inspection indication coefficients corresponding to the inoculating culture dishes of each activated strain of the probiotic complex, generating an activated strain verification tag, and transmitting the activated strain verification tag to a supervision cloud center for autonomous prompt, wherein the activated strain verification tag comprises each flaw strain sample and each standard strain sample.
And counting strain quality inspection index coefficients corresponding to all the standard strain samples, extracting standard strain samples corresponding to the maximum value of the strain quality inspection index coefficients, and marking the standard strain samples as designated strain preparation samples of the probiotics complex.
The method is characterized in that the characteristic data are extracted from the scanning electron microscope images, and the specific process is that based on the scanning electron microscope images corresponding to the inoculating culture dishes of each activated strain of the probiotic complex, the colony positions of each monomer are positioned, and the colony densities, the extremum differences of the colony surface areas, the average diameter of the colony and the microscopic images of each monomer colony are counted.
The colony density, the colony surface area extremum difference and the colony average diameter are collectively marked as first characteristic element data.
Based on microscopic images of the single bacterial colonies, the microscopic images are positioned from the microscopic images to the self-center points of the single bacterial colonies, the linear distance between the self-center points of the single bacterial colonies and the center points of the inoculating culture dishes of the belonging activated bacterial strains is extracted, and the linear distance is recorded as the center distribution distance of the single bacterial colonies and is marked as second characteristic element data.
And comparing each monomer colony microscopic image with a monomer colony standard microscopic image predefined in a database, extracting the length difference and the average gray level difference of the outline line of the outer edge between each monomer colony microscopic image and the monomer colony standard microscopic image, and marking the outline line and the average gray level difference as third characteristic element data.
The first feature element data, the second feature element data, and the third feature element data are collectively defined as feature data.
As a preferable technical scheme, the preparation method comprises the steps of mixing and stirring the pre-prepared strain of the probiotic complex by a stirrer, and sensing and adjusting the stirring operation of the stirrer, wherein the specific process is as follows: the suspension formed by the pre-formulated strain of the probiotic composite is recorded as an initial probiotic suspension, and mixing parameters of the initial probiotic suspension are counted, wherein the mixing parameters comprise viscosity, density and volume.
The database is populated Ji Yi with mixing ratio versus parameters of the initial suspension of probiotic bacteria including target mixing viscosity, target mixing density, and reference mixing volume.
Based on the mixing parameters and the mixing ratio pair parameters of the initial probiotic suspension liquid, calculating the deviation between the mixing parameters and the mixing ratio pair parameters, recording the deviation as the mixing deviation parameters of the initial probiotic suspension liquid, and generating a mixing deviation comprehensive proportion value of the initial probiotic suspension liquid, wherein the mixing deviation comprehensive proportion value is used for representing the mixing and stirring complexity of the initial probiotic suspension liquid.
Based on the mixed deviation comprehensive proportion value of the initial suspension of the probiotics, the mixed deviation comprehensive proportion value is imported into a bilateral symmetry model predefined in a database, and stirring execution parameters of the initial suspension of the probiotics are extracted, wherein the stirring execution parameters comprise stirring speed and stirring time.
Based on the stirring execution parameters of the initial suspension of the probiotics, the stirring operation of the stirrer is controlled to be subjected to sensing adjustment.
According to the preferred technical scheme, the liquid probiotic composition is processed through a vacuum freeze dryer, and the operation of the vacuum freeze dryer is subjected to sensing adjustment, wherein the specific process comprises the steps of obtaining placement data of the liquid probiotic composition, wherein the placement data comprise total placement weight and placement spreading area.
And counting the placement data of the existing finished product compositions from a database, comparing the placement similarity between the liquid probiotic composition and the existing finished product compositions, comparing the liquid probiotic composition with a placement similarity threshold in the database, screening a plurality of existing finished product compositions with placement similarity higher than the placement similarity threshold, and marking the compositions as reference finished product compositions.
Based on the vacuum freeze-drying performance parameters stored in the database for each existing finished formulated composition, each reference finished formulated composition is screened from the vacuum freeze-drying performance parameters including a prefreezing parameter, a primary drying parameter, and a secondary drying parameter.
And (3) carrying out average treatment on the vacuum freeze-drying execution parameters of the reference prepared finished product composition to obtain the vacuum freeze-drying execution parameters of the liquid probiotic composition.
The operation of the vacuum freeze dryer is controlled to be subjected to sensing adjustment based on the vacuum freeze drying execution parameters of the liquid probiotic composition.
According to the optimal technical scheme, the probiotic composition network regulation method based on the intestinal environment steady state further comprises the steps of obtaining a test label of the solid probiotic composition through detection based on the solid probiotic composition, wherein the test label is qualified or unqualified.
The test label based on the solid probiotic composition is transmitted to a regulatory cloud center for management.
According to the technical scheme, the inspection label for obtaining the solid probiotic composition through detection comprises the specific processes of obtaining the finished product yield and the finished product water content of the solid probiotic composition through detection, and marking the finished product yield and the finished product water content as G and H in sequence.
The defined yield of the finished product and the defined water content of the finished product are extracted from the database and are marked as delta G and delta H in sequence.
Through comparison, if (G & gtdelta G) & lt delta H & gt is existed, the inspection label of the solid probiotic composition is defined as being qualified for inspection, and if (G & gtdelta G) & lt delta H & gt is existed, the inspection label of the solid probiotic composition is defined as being unqualified for inspection.
As a preferred technical scheme, the quality inspection indication coefficients of the strains corresponding to the inoculating culture dishes of each activated strain of the probiotic complex are specifically generated under the following conditions:
Wherein δ j represents a strain quality inspection indicator coefficient corresponding to a j-th activated strain inoculation culture dish of the probiotic composite body, α j represents a first strain quality inspection indicator coefficient corresponding to a j-th activated strain inoculation culture dish of the probiotic composite body, β j represents a second strain quality inspection indicator coefficient corresponding to a j-th activated strain inoculation culture dish of the probiotic composite body, α max represents a first strain quality inspection indicator coefficient maximum value, β max represents a second strain quality inspection indicator coefficient maximum value, ε 1 represents a first strain quality inspection indicator coefficient weight value, ε 2 represents a second strain quality inspection indicator coefficient weight value, j is the number of each activated strain inoculation culture dish, j=1, 2.
In a second aspect, a probiotic composition network regulation and control system based on intestinal environment steady state is provided, and the system comprises a strain preparation sample data extraction module, a data processing server and a control cloud center, wherein the strain preparation sample data extraction module is used for counting a plurality of complexes in a probiotic composition, recording the complexes as probiotic complexes, and extracting strain preparation sample data of the probiotic complexes from the control cloud center and inputting the strain preparation sample data into the data processing server.
The strain preparation sample data processing module is used for taking over strain preparation sample data of the probiotic complex through the data processing server for processing, synchronously screening designated strain preparation samples of the probiotic complex, and extracting pre-prepared strains of the probiotic complex from the samples.
The stirrer sensing and adjusting module is used for mixing and stirring the pre-prepared strain of the probiotic complex through a stirrer, sensing and adjusting the stirring operation of the stirrer, and marking the mixed and stirred liquid as a liquid probiotic composition.
And the sensing and adjusting module of the vacuum freeze dryer is used for processing the liquid probiotic composition through the vacuum freeze dryer, sensing and adjusting the operation of the vacuum freeze dryer, and recording the solid matters after the vacuum freeze drying as the solid probiotic composition.
Compared with the prior art, the embodiment of the invention has at least the following beneficial effects:
(1) The invention provides a probiotic composition network regulation and control method and system based on intestinal environment steady state, which are characterized in that strain preparation sample data of a probiotic composite body are firstly extracted and processed, then a specified strain preparation sample of the probiotic composite body is screened, and then an agitator and a vacuum freeze dryer are adaptively regulated according to the characteristics of the probiotic composition in the preparation process, so that the problems of insufficient regulation precision and poor adaptability caused by biological preparation due to control switching of only a single mode at present are solved.
(2) According to the invention, the sample is prepared by screening the designated strain of the probiotic complex, and the pre-prepared strain of the probiotic complex is extracted therefrom, so that the strain preparation sample with the most excellent quality can be selected for strain extraction, the high-quality strain generally has stronger bioactivity and stability, the quality and efficiency of the prepared strain can be ensured by screening, and the overall consistency and stability of the preparation of the probiotic composition are promoted to be enhanced.
(3) According to the invention, the pre-prepared strain of the probiotic complex is mixed and stirred by the stirrer, the stirring operation of the stirrer is subjected to sensing adjustment, and the stirring execution parameters are obtained by analyzing according to the mixing parameters of the initial suspension of the probiotics in the early stage of sensing, so that the rationality of resource utilization can be effectively improved, strain loss caused by excessive stirring or insufficient stirring is avoided, the activity and the functionality of the probiotics are protected, the optimal mixing state of the probiotic suspension is further ensured, and the sensing adjustment of the stirrer has higher adaptability and flexibility.
(4) According to the invention, the liquid probiotic composition is processed by the vacuum freeze dryer, the operation of the vacuum freeze dryer is subjected to sensing adjustment, and the vacuum freeze drying execution parameters are obtained by processing according to the placement data of the liquid probiotic composition, so that the bioactivity and the functionality of probiotics can be protected to the greatest extent, the whole drying process is more efficient, the drying time can be effectively reduced, and the energy consumption is reduced.
Of course, it is not necessary for any one product to practice the invention to achieve all of the advantages set forth above at the same time.
Drawings
FIG. 1 is a schematic flow chart of the method of the present invention;
FIG. 2 is a schematic diagram of a system module according to the present invention;
fig. 3 is a schematic diagram of a bilateral symmetry model according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In the description of the present invention, it should be understood that the terms "open," "upper," "lower," "thickness," "top," "middle," "length," "inner," "peripheral," and the like indicate orientation or positional relationships, merely for convenience in describing the present invention and to simplify the description, and do not indicate or imply that the components or elements referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus should not be construed as limiting the present invention.
Referring to fig. 1, a first aspect of the present invention provides a method for regulating and controlling a probiotic composition network based on an intestinal environment steady state, comprising counting a plurality of complexes in a probiotic composition, recording as probiotic complexes, and extracting strain preparation sample data of the probiotic complexes from a monitoring cloud center and inputting the strain preparation sample data to a data processing server.
It is added that the probiotic composition is regulated by a network to help maintain the steady state of the intestinal environment, and the regulation mechanism comprises the steps of promoting the growth of beneficial bacteria and inhibiting the reproduction of harmful bacteria, so that intestinal microbiota is balanced.
In this embodiment, the plurality of complexes include lactobacillus reuteri J1, lactobacillus gasseri JM1, lactobacillus paracasei JY062, lactobacillus paracasei JY039 (accession No. 62990), lactobacillus plantarum JY039, lactobacillus rhamnosus J20.
The monitoring cloud center is a platform based on cloud computing technology, can collect, transmit and analyze various data, and can also provide a real-time monitoring interface, so that a manager can know the preparation and production states of probiotics and related data at any time, and the problems can be found and solved in time.
The data processing server is a dedicated computer data processing tool for performing complex data processing tasks.
Specifically, strain preparation sample data of the probiotic complexes comprise scanning electron microscopy images corresponding to each activated strain inoculation culture dish.
It should be noted that, the activated strain inoculation culture dish is a round or square flat-bottom glass container for culturing microorganisms, and is usually covered with a transparent cover, so that oxygen and humidity of a culture environment can be controlled, a culture medium is laid in the culture dish to support growth of microorganisms and form colonies, and in this embodiment, activated strains are placed in the activated strain inoculation culture dish.
The data processing server takes over strain preparation sample data of the probiotic complexes for processing, synchronously screens designated strain preparation samples of the probiotic complexes, and extracts pre-prepared strains of the probiotic complexes therefrom.
It should be understood that the pre-formulated strain for extracting the probiotic compound is specifically extracted in a pre-set extraction ratio, wherein the pre-set extraction ratio is preset by a preparation staff and stored in a database, the probiotic compound in this embodiment is any one of three ratios of lactobacillus reuteri J1, lactobacillus gasseri JM1, lactobacillus paracasei JY062, lactobacillus paracasei JY039 (accession No. 62990), lactobacillus plantarum JY039, lactobacillus rhamnosus J20, and on the basis of the 6 probiotic compound, the extraction ratio is preset to be 1:1:1:1:1:1:1:1:1:1:1:1:1:9:4:2, 1:9:1:8:5:3, and meanwhile, the minimum viable bacteria number of the extract is not lower than 10 8 CFU/mL, for example, when the 6 probiotic compound is extracted in a ratio of 1:9:8:5:3, the number of the probiotic compound is not lower than 10 CFU/mL, and the viable bacteria number of lactobacillus reuteri jj 1 is not lower than 10 CFU/8 mL.
The specific process of preparing the sample with the specified strain of the screened probiotic composite body includes counting the scanning electron microscopic images corresponding to the inoculating culture dishes of the activated strain of the probiotic composite body, and extracting characteristic data from the scanning electron microscopic images.
Further, the characteristic data are extracted from the scanning electron microscopic image, and the specific process is that based on the scanning electron microscopic image corresponding to each activated strain inoculation culture dish of the probiotic complex, each monomer colony position is positioned, and the colony density (the colony number in unit area is CFU/mm 2), the extremum difference of the colony surface area (the difference between the surface area of the highest monomer colony and the surface area of the lowest monomer colony is mu m 2), the average diameter of the colony (the average diameter size of the colony in the horizontal direction is mu m) and each monomer colony microscopic image are counted.
The colony density, the colony surface area extremum difference and the colony average diameter are collectively marked as first characteristic element data.
Based on microscopic images of the single bacterial colonies, the microscopic images are positioned from the microscopic images to the self-center points of the single bacterial colonies, the linear distance between the self-center points of the single bacterial colonies and the center points of the inoculating culture dishes of the belonging activated bacterial strains is extracted, and the linear distance is recorded as the center distribution distance of the single bacterial colonies and is marked as second characteristic element data.
And comparing each monomer colony microscopic image with a monomer colony standard microscopic image predefined in a database, extracting the length difference and the average gray level difference of the outline line of the outer edge between each monomer colony microscopic image and the monomer colony standard microscopic image, and marking the outline line and the average gray level difference as third characteristic element data.
The first feature element data, the second feature element data, and the third feature element data are collectively defined as feature data.
In this embodiment, according to the first characteristic element data, a first strain quality inspection indicator coefficient corresponding to each activated strain inoculation culture dish for generating the probiotic composite is processed, where the first strain quality inspection indicator coefficient is used for quantitatively characterizing the first characteristic element data, and specific generation conditions are as follows:
Wherein α j represents a first strain quality inspection index coefficient corresponding to a jth activated strain inoculation culture dish of the probiotic composite body, ρ j represents a colony density corresponding to the jth activated strain inoculation culture dish of the probiotic composite body, S j represents a colony surface area extremum difference corresponding to the jth activated strain inoculation culture dish of the probiotic composite body, R j represents a colony average diameter corresponding to the jth activated strain inoculation culture dish of the probiotic composite body, ρ 0、S0、R0 represents a reference colony density, a colony surface area definition extremum difference, a reference colony body spread diameter stored in a database in sequence, γ 1、γ2、γ3 represents a colony density weight, a colony surface area weight, a colony body spread diameter weight in sequence, e is a natural constant, j is the number of each activated strain inoculation culture dish, j=1, 2.
It should be explained that, the values of the colony density weight, the colony body surface area weight and the colony spread diameter weight are all between 0 and 1, the preset values can be directly extracted from the database, and the mapping comparison sets of the colony density, the colony body surface area, the colony spread diameter and the weight can be respectively constructed according to the relations between the colony density, the colony body surface area and the colony spread diameter in the historical preparation information and the quality inspection index coefficients of the first strain, in the embodiment, the actual colony density, the colony body surface area and the colony spread diameter are input into the corresponding mapping comparison sets one by one, so as to obtain the colony density weight, the colony body surface area weight and the colony spread diameter weight.
The difference of the surface area extremum of the colony, namely the difference between the surface area of the highest monomer colony and the surface area of the lowest monomer colony in an activated strain inoculation culture dish, is the largest, which indicates that the difference of the morphology of the colony in the activated strain inoculation culture dish is larger, the corresponding colony quality is lower, and the quality inspection index coefficient of the first strain is smaller.
It should also be noted that the first strain quality test index corresponding to each activated strain inoculated culture dish of the probiotic composite obtained by combining the colony density, the colony body surface area and the colony spread diameter treatment in this embodiment considers that a certain mutual influence and correlation exists between them, for example, a higher colony density generally means that more colonies grow in the same area, thus possibly causing mutual competition of nutrients and space among the colonies, thus possibly affecting the growth speed and the final body surface area of each colony, and a higher colony density possibly causes the body spread diameter of individual colonies to be reduced because competition among the colonies limits the lateral expansion of the colonies, and the colony growth condition and quality of each activated strain inoculated culture dish can be evaluated more comprehensively and accurately by combining the colony density, the colony body surface area and the colony spread diameter analysis.
In this embodiment, according to the second characteristic element data and the third characteristic element data, processing a second strain quality inspection indicator coefficient corresponding to each activated strain inoculation culture dish for generating the probiotic composite, where the second strain quality inspection indicator coefficient is used for quantitatively characterizing the second characteristic element data and the third characteristic element data, and specific generating conditions are as follows:
Wherein β j represents a second strain quality inspection index coefficient corresponding to the jth activated strain inoculation culture dish of the probiotic composite body, L jm represents a center distribution interval of the mth monomer colony of the jth activated strain inoculation culture dish of the probiotic composite body, C jm represents an outer edge contour line length difference of the mth monomer colony of the jth activated strain inoculation culture dish of the probiotic composite body, D jm represents an average gray scale difference of the mth monomer colony of the jth activated strain inoculation culture dish of the probiotic composite body, Δl, Δc, Δd represent sequentially a center distribution interval reference deviation of the colonies, a contour line permissible length difference of the outer edge of the colonies, a colony permissible gray scale difference stored in the database, γ 4、γ5、γ6 represents sequentially a center distribution interval weight of the colonies, a contour line length weight of the outer edge of the colonies, a gray scale weight, j represents a number of each activated strain inoculation culture dish, j=1, 2, n represents a number of activated strain inoculation culture dishes, m represents a number of each monomer colony, m=1, 2, u represents a number of the colony of the active strain inoculation culture dishes, and u represents a natural colony constant.
It should be explained that, the weight of the center distribution distance of the colony, the weight of the outline length of the outer edge of the colony and the weight of the gray level of the colony are all between 0 and 1, the preset value can be directly extracted from the database, and the weight of the center distribution distance of the colony, the weight of the outline length of the outer edge of the colony and the weight of the gray level of the colony can be obtained by respectively constructing the mapping comparison set of the center distribution distance of the colony, the outline length of the outer edge of the colony, the gray level of the colony and the weight of the second strain according to the relation between the center distribution distance of the colony, the outline length of the outer edge of the colony and the quality inspection index coefficient of the second strain in the historical preparation information.
It should be further noted that, in this embodiment, the analysis is performed by integrating the center distribution distance of the colonies, the outline length of the outer edge of the colonies, and the gray level of the colonies to obtain the quality inspection index of the second strain corresponding to the inoculated culture dish of each activated strain of the probiotic composite, so that, considering the mutual influence and correlation existing between them, for example, the center distribution distance reflects the distribution condition of the colonies on the culture dish, the larger distance generally means that the distance between the colonies is far, which may result in the outline of the colonies being more regular, conversely, the smaller distance may result in the colonies being close to or even overlapping with each other, resulting in the outline of the outer edge being more complex, the center distribution distance also affects the optical characteristics of the colonies, the larger distance results in more growth space and resources for each colony, which may result in more uniform gray distribution, and the smaller distance may result in competition between the colonies, which affects the uniformity of gray distribution, and the complexity of the outline of the outer edge may affect the internal structure and optical characteristics of the colonies, and the more complex edge may result in uneven scattering and absorption of light, thereby affecting the gray level distribution, and by analyzing the center distribution, the length of the outline of the colonies, and the average difference of the quality of the colonies may be more accurately and comprehensively evaluating the quality of the colonies and the gray level of the colonies.
By extracting the characteristic data from the scanning electron microscope image, a strain quality inspection indicator coefficient corresponding to each activated strain inoculation culture dish of the probiotic complex is generated based on the characteristic data, and the strain quality inspection indicator coefficient is used for quantitatively characterizing the strain quality in the activated strain inoculation culture dish.
Further, the quality inspection index coefficient of the strain corresponding to each activated strain inoculation culture dish of the probiotic complex is specifically generated under the following conditions:
Wherein δ j represents a strain quality inspection indicator coefficient corresponding to a j-th activated strain inoculation culture dish of the probiotic composite body, α j represents a first strain quality inspection indicator coefficient corresponding to a j-th activated strain inoculation culture dish of the probiotic composite body, β j represents a second strain quality inspection indicator coefficient corresponding to a j-th activated strain inoculation culture dish of the probiotic composite body, α max represents a first strain quality inspection indicator coefficient maximum value, β max represents a second strain quality inspection indicator coefficient maximum value, ε 1 represents a first strain quality inspection indicator coefficient weight value, ε 2 represents a second strain quality inspection indicator coefficient weight value, j is the number of each activated strain inoculation culture dish, j=1, 2.
It should be explained that, the weight of the first strain quality inspection indicator coefficient and the weight of the second strain quality inspection indicator coefficient are both in a range of 0 to 1, the preset value can be directly extracted from the database, and the first strain quality inspection indicator coefficient and the second strain quality inspection indicator coefficient can be constructed according to the relation between the first strain quality inspection indicator coefficient and the second strain quality inspection indicator coefficient in the historical preparation information and the strain quality inspection indicator coefficient respectively, and the mapping comparison set of the first strain quality inspection indicator coefficient and the second strain quality inspection indicator coefficient and the weight is constructed.
In this embodiment, the analysis is performed by integrating the first strain quality test index coefficient corresponding to each activated strain inoculation culture dish of the probiotic composite body with the second strain quality test index coefficient corresponding to each activated strain inoculation culture dish of the probiotic composite body, wherein the processing of the first strain quality test index coefficient depends on the colony density, the colony surface area, the colony spread diameter, the processing of the second strain quality test index coefficient depends on the colony center distribution spacing, the colony outer edge contour line length, the colony gray scale, and the possibility of interaction between these basic variables, for example, the higher density means that the distance between the colonies is closer, so that the center distribution spacing is reduced, the larger colony surface area may reflect the more complex or longer outer edge contour lines, resulting in an increase in line length difference, and the relationship between these basic variables reflects the complex interaction in the growth process, the colony density, the colony surface area, the colony surface diameter, the colony center distribution spacing, the outer edge contour line length, and the average colony spread diameter, the state characteristics of the colony that are not only independently affected, but also the overall colony quality can be evaluated by correlating and comprehensively considering the overall colony quality and the overall growth quality.
The first strain quality inspection index coefficient weight and the second strain quality inspection index coefficient weight are sequentially assigned to be 0.4 and 0.6, and meanwhile, the 5 groups of activated strain inoculation culture dishes involved in the embodiment are taken as example objects, and the finally output strain quality inspection index coefficients are shown in the following table:
TABLE 1 quality test indicator coefficient examples for strains
In combination with the above table, the strain quality test index of the activated strain inoculation dish 4 is at a highest value, indicating that the strain quality level of the activated strain inoculation dish 4 is highest compared to other 4 groups of activated strain inoculation dishes, and a higher quality strain generally means that under the same conditions, the growth rate and reproductive capacity are stronger, thus providing more colonies in the same time, and the use of the highest quality strain for formulation can reduce operational errors because the strain is relatively more stable and reliable, and can provide more consistent and reliable results.
According to the strain quality inspection indication coefficient corresponding to each activated strain inoculation culture dish of the probiotic complex, an activated strain verification tag is generated and transmitted to a supervision cloud center for autonomous prompt, wherein the activated strain verification tag comprises each flaw strain sample and each standard-reaching strain sample, and the supervision cloud center can update and view tag information in real time, so that related personnel can acquire the latest activated strain verification tag at any time, and thus the strain state can be managed and monitored in time.
In the embodiment, the specific generation process of the activated strain verification tag comprises the steps of based on a strain quality verification index coefficient corresponding to each activated strain inoculation culture dish of a probiotic complex, comparing the strain quality verification index coefficient with a strain quality verification index threshold value predefined in a database, marking the activated strain inoculation culture dish as a defective strain sample if the strain quality verification index coefficient corresponding to each activated strain inoculation culture dish of the probiotic complex is lower than or equal to the strain quality verification index threshold value, otherwise marking the activated strain inoculation culture dish as a standard-reaching strain sample if the strain quality verification index coefficient corresponding to each activated strain inoculation culture dish of the probiotic complex is higher than the strain quality verification index threshold value, sequentially traversing the strain quality verification index coefficient corresponding to each activated strain inoculation culture dish of the probiotic complex, and counting each defective strain sample and each standard-reaching strain sample to be jointly defined as the activated strain verification tag.
And counting strain quality inspection index coefficients corresponding to all the standard strain samples, extracting standard strain samples corresponding to the maximum value of the strain quality inspection index coefficients, and marking the standard strain samples as designated strain preparation samples of the probiotics complex.
In the embodiment, the preparation sample of the specific strain of the probiotic composite body is screened, and the pre-prepared strain of the probiotic composite body is extracted from the preparation sample, so that the strain preparation sample with the most excellent quality can be selected for strain extraction, the high-quality strain generally has stronger biological activity and stability, the quality and efficiency of the prepared strain can be ensured through screening, and the overall consistency and stability of the preparation of the probiotic composite body are promoted to be enhanced.
The pre-formulated strain of the probiotic composite is mixed and stirred by a stirrer, the stirring operation of the stirrer is subjected to sensing adjustment, and the mixed and stirred liquid is marked as a liquid probiotic composition.
The stirrer utilizes the interaction of the magnetic stirrer and an external magnetic field to enable the magnetic stirrer in the liquid sample to rotate on the platform, so that the mixing and stirring of the liquid sample are realized, the stirrer is generally composed of the platform, an electric motor, the magnetic stirrer and a controller, and the stirring speed of the stirrer can be adjusted through the controller.
The method comprises the steps of mixing and stirring the pre-prepared strain of the probiotic composite body through a stirrer, and sensing and adjusting the stirring operation of the stirrer, wherein the suspension formed by the pre-prepared strain of the probiotic composite body is recorded as an initial probiotic suspension, and mixing parameters of the initial probiotic suspension are counted, and the mixing parameters comprise viscosity (measured by a viscometer and measured by a densimeter and measured by g/cm 3) and volume (measured by a volumeter and measured by mL).
The initial suspension of the probiotics is composed of a preformulated strain of the extracted probiotics complex and normal saline.
The database is populated Ji Yi with mixing ratio versus parameters of the initial suspension of probiotic bacteria including target mixing viscosity, target mixing density, and reference mixing volume.
The target mixing viscosity and the target mixing density are viscosity and density in an ideal state required to be achieved by the probiotic initial suspension after mixing, and are different from a reference mixing volume which is only used as a volume reference value and is usually set as an adaptation volume value for mixing.
Based on the mixing parameters and the mixing ratio pair parameters of the initial probiotic suspension liquid, calculating the deviation between the mixing parameters and the mixing ratio pair parameters, recording the deviation as the mixing deviation parameters of the initial probiotic suspension liquid, and generating a mixing deviation comprehensive proportion value of the initial probiotic suspension liquid, wherein the mixing deviation comprehensive proportion value is used for representing the mixing and stirring complexity of the initial probiotic suspension liquid.
According to the mixing deviation parameters of the initial probiotic suspension, wherein the mixing deviation parameters comprise a mixing viscosity difference, a mixing density difference and a mixing volume difference, the mixing viscosity difference and a reference mixing viscosity difference in a database are subjected to ratio processing to obtain a mixing viscosity deviation ratio, the mixing density difference and a reference mixing density difference in the database are subjected to ratio processing to obtain a mixing density deviation ratio, the mixing volume difference and a reference mixing volume difference in the database are subjected to ratio processing to obtain a mixing volume deviation ratio, and the mixing viscosity deviation ratio, the mixing density deviation ratio and the mixing volume deviation ratio are accumulated to obtain the mixing deviation comprehensive ratio of the initial probiotic suspension.
Based on the mixed deviation comprehensive proportion value of the initial suspension of the probiotics, the mixed deviation comprehensive proportion value is imported into a bilateral symmetry model predefined in a database, and stirring execution parameters of the initial suspension of the probiotics are extracted, wherein the stirring execution parameters comprise stirring speed and stirring time.
In one embodiment, the bilateral symmetry model is a dual Y-axis linear curve, the transverse axes of the model construction are all hybrid deviation integrated ratio values, the dual Y-axis is respectively constructed by stirring speed and stirring time, and the linear curves corresponding to the stirring speed and the stirring time in the bilateral symmetry model sequentially satisfy the following functional relation with the hybrid deviation integrated ratio values, namely Y 1＝62.5X+25,Y2 = 2.33X+10.33, wherein Y 1 and Y 2 respectively represent the stirring speed and the stirring time, and X represents the hybrid deviation integrated ratio value.
Referring to fig. 3, a schematic diagram of a bilateral symmetry model according to another embodiment is shown, in which a dual y-axis linear model is shown, the horizontal axis represents a composite proportion of mixing deviation, the dual y-axis represents a mixing speed and a mixing time, in which a solid line represents a mixing speed and a dotted line represents a mixing time, and the larger the composite proportion of mixing deviation is, the higher the corresponding mixing speed and mixing time is, because the higher the composite proportion of mixing deviation is, the higher the complexity of stirring is, and the proper increase of the mixing speed and the mixing time is required to make the initial suspension of the probiotic sufficiently uniformly stir.
Based on the stirring execution parameters of the initial suspension of the probiotics, the stirring operation of the stirrer is controlled to be subjected to sensing adjustment.
The control carries out sensing adjustment on the stirring operation of the stirrer, namely controls the stirring operation of the stirrer at the stirring speed in the stirring execution parameters, and controls the stirring to stop after the stirring time is met.
In the embodiment, the pre-prepared strain of the probiotic composite is mixed and stirred by the stirrer, the stirring operation of the stirrer is sensed and regulated, and the stirring execution parameters are obtained by analyzing the mixing parameters of the initial suspension of the probiotics in the early stage of sensing, so that the rationality of resource utilization can be effectively improved, the strain loss caused by excessive stirring or insufficient stirring is avoided, the activity and the functionality of the probiotics are protected, the optimal mixing state of the probiotic suspension is further ensured, and the sensing regulation of the stirrer has higher adaptability and flexibility.
The liquid probiotic composition is processed by a vacuum freeze dryer, the operation of the vacuum freeze dryer is subjected to sensing adjustment, and the solid matters after vacuum freeze drying are recorded as the solid probiotic composition.
The principle of the vacuum freeze dryer is that the method of low-temperature freezing and vacuum dehydration is utilized to convert the moisture in the sample into solid ice to sublimate directly, so that the sample is dried into powder without changing the structure and activity of the sample, and the freeze-drying protective agent is needed to be added before the liquid probiotic composition is processed by the vacuum freeze dryer.
The liquid probiotic composition is processed by a vacuum freeze dryer, and the operation of the vacuum freeze dryer is subjected to sensing adjustment, wherein the specific process is that the placement data of the liquid probiotic composition are obtained, and the placement data comprise the total placement weight (measured by a weight sensor and the unit is g) and the placement spreading area (measured by a scanner and the unit is cm 2).
And counting the placement data of the existing finished product compositions from a database, comparing the placement similarity between the liquid probiotic composition and the existing finished product compositions, comparing the liquid probiotic composition with a placement similarity threshold in the database, screening a plurality of existing finished product compositions with placement similarity higher than the placement similarity threshold, and marking the compositions as reference finished product compositions.
It should be noted that each of the existing formulated finished compositions is one that is already formulated and is certified as being effectively formulated.
In this embodiment, the placement similarity between the liquid probiotic composition and each existing formulated finished composition is determined by the following specific comparison conditions:
wherein, similarity (θ b) is the placement Similarity between the liquid probiotic composition and the b-th existing formulated finished composition, F is the placement total weight of the liquid probiotic composition, S is the placement spreading area of the liquid probiotic composition, F b is the placement total weight of the b-th existing formulated finished composition, S b is the placement spreading area of the b-th existing formulated finished composition, F 0 is the placement weight reference value in the database, S 0 is the placement spreading area reference value in the database, b is the number of each existing formulated finished composition, b=1, 2.
In the treatment of the similarity between the liquid probiotic composition and each existing finished product composition, the total placement weight and the placement spreading area of the liquid probiotic composition are combined, and the influence of the placement weight and the spreading area on the similarity is synergistic, and the physical characteristics of the composition can be more comprehensively reflected by the liquid probiotic composition, so that the similarity calculation is more accurate and reliable.
Based on the vacuum freeze-drying performance parameters stored in the database for each existing finished formulated composition, each reference finished formulated composition is screened from the vacuum freeze-drying performance parameters including a prefreezing parameter, a primary drying parameter, and a secondary drying parameter.
In this embodiment, the pre-freezing parameters include a pre-freezing temperature and a pre-freezing time, the primary drying parameters include a cold trap temperature, a primary vacuum level, a primary tray temperature, and a primary drying time, and the secondary drying parameters include a secondary tray temperature, a secondary vacuum level, and a secondary drying time.
It should be further noted that the operation of the vacuum freeze-dryer in this embodiment is divided into 3 stages, namely, the pre-freezing stage, the primary drying stage and the secondary drying stage, and by precisely controlling the execution parameters of the vacuum freeze-drying, the smooth proceeding of the vacuum freeze-drying process can be effectively ensured, and a high-quality solid probiotic composition can be obtained.
And (3) carrying out average treatment on the vacuum freeze-drying execution parameters of the reference prepared finished product composition to obtain the vacuum freeze-drying execution parameters of the liquid probiotic composition.
As an example, the vacuum freeze-drying execution parameters of the reference finished product compositions are subjected to average processing, taking the prefreezing temperature in the prefreezing parameters as an example, the prefreezing temperature of the reference finished product compositions is counted, and the average execution prefreezing temperature is obtained by summing the prefreezing temperatures, and in this way, the average execution prefreezing time, the average execution cold trap temperature, the average execution primary vacuum degree, the average execution primary tray temperature, the average execution primary drying time, the average execution secondary tray temperature, the average execution secondary vacuum degree and the average execution secondary drying time are obtained one by one, and are combined into the vacuum freeze-drying execution parameters of the liquid probiotic composition.
The operation of the vacuum freeze dryer is controlled to be subjected to sensing adjustment based on the vacuum freeze drying execution parameters of the liquid probiotic composition.
The control carries out sensing adjustment on the operation of the vacuum freeze dryer, namely, the parameters of the corresponding control device are adjusted to corresponding preset values in the execution parameters of the vacuum freeze drying in the pre-freezing stage, the primary drying stage and the secondary drying stage through an automatic control system of the vacuum freeze dryer.
In the embodiment, the liquid probiotic composition is processed by the vacuum freeze dryer, the operation of the vacuum freeze dryer is subjected to sensing adjustment, and the vacuum freeze drying execution parameters are obtained by processing according to the placement data of the liquid probiotic composition, so that the bioactivity and the functionality of probiotics can be protected to the greatest extent, the whole drying process becomes more efficient, the drying time can be effectively reduced, and the energy consumption is reduced.
The network regulation method of the probiotic composition based on the intestinal environment steady state further comprises the steps of obtaining a test label of the solid probiotic composition based on the solid probiotic composition through detection, wherein the test label is qualified or unqualified.
The test label based on the solid probiotic composition is transmitted to a regulatory cloud center for management.
In this embodiment, the inspection label based on the solid probiotic composition is transmitted to a monitoring cloud center for management, specifically, if the inspection label of the solid probiotic composition is qualified, the solid probiotic composition is marked as an effective preparation composition, stirring execution parameters and vacuum freeze drying execution parameters of the effective preparation composition are stored in a database for archiving, if the inspection label of the solid probiotic composition is unqualified, the solid probiotic composition is marked as an invalid preparation composition, and warning information generated by the invalid preparation composition is transmitted to a receiving end of related personnel through the monitoring cloud center for preparation invalidation reminding.
Further, the detection label for obtaining the solid probiotic composition through detection comprises the specific processes of obtaining the finished product yield and the finished product water content of the solid probiotic composition through detection, and marking the finished product yield and the finished product water content as G and H in sequence.
In this example, the yield of the finished product is the ratio between the weight of the final dried product obtained during the formulation process and the original weight of the liquid probiotic composition, and the moisture content of the finished product is the percentage of moisture contained in the dried product, which can be measured by a moisture meter.
The defined yield of the finished product and the defined water content of the finished product are extracted from the database and are marked as delta G and delta H in sequence.
Through comparison, if (G & gtdelta G) & lt delta H & gt is existed, the inspection label of the solid probiotic composition is defined as being qualified for inspection, and if (G & gtdelta G) & lt delta H & gt is existed, the inspection label of the solid probiotic composition is defined as being unqualified for inspection.
Referring to fig. 2, a second aspect of the present invention provides a probiotic composition network regulation system based on intestinal environment steady state, which includes a strain preparation sample data extraction module for counting a plurality of complexes in a probiotic composition, recording as probiotic complexes, and extracting strain preparation sample data of the probiotic complexes from a monitoring cloud center and inputting the data to a data processing server.
The strain preparation sample data processing module is used for taking over strain preparation sample data of the probiotic complex through the data processing server for processing, synchronously screening designated strain preparation samples of the probiotic complex, and extracting pre-prepared strains of the probiotic complex from the samples.
The stirrer sensing and adjusting module is used for mixing and stirring the pre-prepared strain of the probiotic complex through a stirrer, sensing and adjusting the stirring operation of the stirrer, and marking the mixed and stirred liquid as a liquid probiotic composition.
And the sensing and adjusting module of the vacuum freeze dryer is used for processing the liquid probiotic composition through the vacuum freeze dryer, sensing and adjusting the operation of the vacuum freeze dryer, and recording the solid matters after the vacuum freeze drying as the solid probiotic composition.
The probiotic composition network regulation system based on intestinal environment steady state also comprises a database in the embodiment, wherein the database is used for storing various verification data, such as standard microscopic images of monomer colonies, mixing ratio pair parameters of an initial probiotic suspension liquid, a bilateral symmetry model and the like, which are related in the embodiment, and the various verification data are verified by personnel through data acquisition and uploaded and stored in the database.
In the embodiment, the invention provides a probiotic composition network regulation and control method and system based on intestinal environment steady state, which are characterized in that firstly, strain preparation sample data of a probiotic compound are extracted and processed, then a specified strain preparation sample of the probiotic compound is screened, and then, in the preparation process, the stirrer and a vacuum freeze dryer are adaptively regulated according to the characteristics of the probiotic composition, so that the problems of insufficient regulation precision and poor adaptability caused by the current biological preparation carried out by only controlling and switching in a single mode are solved.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention and are intended to be within the scope of the invention without departing from the spirit and scope of the invention.
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