Preparation system and preparation method of chicken bone protein feed for breeding
By designing a chicken bone protein feed preparation system containing multiple modules, the collagen in chicken bones is scientifically processed and processed, and the limitations of protein sources in traditional feeds and the difficulty of using chicken bones is solved, and efficient and sustainable feed production is achieved.
Patent Information
- Application Number
- CN202510133022.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-02-06
- Publication Date
- 2025-04-25
AI Technical Summary
The source of protein in traditional feed depends on raw materials such as soybeans and fish meal, which has the problem of complex treatment and difficult to absorb nutrients, making it difficult to effectively utilize the by-product of chicken bones.
A preparation system for chicken bone protein feed for breeding is designed, including chicken bone processing module, collagen extraction module, cross-linking reaction module, fermented soybean meal preparation module, feed mixing granulation module and quality control detection module. Through scientific processing and processing, collagen in chicken bones is converted into an easy-to-absorb feed form.
It has achieved efficient utilization of chicken bone resources, improved the nutritional value of feed and the growth rate and quality of animals, reduced feed costs, and promoted the sustainable development of the breeding industry.
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Figure CN119867334A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of feed, and in particular to a system and method for preparing chicken bone protein feed for breeding. Background Art
[0002] With the continuous development of poultry farming, the quality and nutritional value of feed have become the key factors in determining the growth rate and quality of poultry. In traditional feed, protein sources mainly rely on plant and animal raw materials such as soybeans and fish meal, but these raw materials have certain limitations.
[0003] Chicken bones, as a byproduct of poultry slaughtering, are rich in high-quality collagen and other nutrients, and have high development and utilization value. However, the direct use of chicken bones has problems such as complex processing and poor absorption of nutrients. Therefore, the development of an efficient chicken bone protein feed preparation system and preparation method is of great significance for improving poultry feed utilization, reducing feed costs, and promoting the sustainable development of poultry farming. Summary of the invention
[0004] In view of this, the present invention proposes a preparation system and method for chicken bone protein feed for breeding, aiming to scientifically process chicken bones, extract high-quality protein components therein, and convert them into a feed form that is easy for poultry to absorb and utilize, thereby optimizing the feed formula and improving the growth rate and quality of poultry.
[0005] The present invention provides a system for preparing chicken bone protein feed for breeding, comprising a chicken bone processing module, a collagen extraction module, a cross-linking reaction module, a fermented soybean meal preparation module, a feed mixing and granulation module and a quality control detection module;
[0006] Wherein, the chicken bone processing module is configured to demineralize and enzymatically hydrolyze the chicken bone raw materials to obtain enzymatically hydrolyzed chicken bones;
[0007] The collagen extraction module is configured to extract collagen using enzymatically hydrolyzed chicken bones as raw materials to obtain collagen;
[0008] The cross-linking reaction module is configured to cross-link the feed additive with collagen to obtain the collagen additive;
[0009] The fermented soybean meal preparation module is configured to ferment the soybean meal as a fermentation substrate to obtain the fermented soybean meal;
[0010] The feed mixing and pelleting module is configured to mix the collagen additive, fermented soybean meal and base material to form pelletized feed;
[0011] The quality control detection module is configured to perform quality detection on the granular feed produced by the feed mixing and granulating module.
[0012] Preferably, the chicken bone processing module is further configured to calculate the enzyme dosage according to the enzyme activity at the actual temperature, and the calculation formula is:
[0013]
[0014] Among them, A(T) represents the enzyme activity at the actual temperature; Amax represents the maximum activity value of the enzyme; T represents the actual reaction temperature; Topt represents the optimal temperature of the enzyme; σ represents the constant of the enzyme activity sensitivity to temperature; Eold represents the amount of original enzyme; Aopt represents the enzyme activity at the optimal temperature; Enew represents the enzyme amount.
[0015] Preferably, demineralizing the chicken bone raw material comprises:
[0016] Soak the chicken bones in dilute hydrochloric acid for at least 12 hours to demineralize;
[0017] The dilute hydrochloric acid is a 0.5M hydrochloric acid solution.
[0018] Preferably, the collagen extraction module is further configured to calculate the extraction efficiency of collagen according to temperature and pressure, and the calculation formula is:
[0019]
[0020] Among them, Y(T,P) represents the extraction efficiency of collagen; Y0 is the basic extraction efficiency; Ea represents the activation energy; R represents the gas constant; T represents the temperature; P represents the pressure; and n represents the influence index of pressure on the extraction efficiency.
[0021] Preferably, the feed additive is trehalose, tetrahydrofolic acid, lipoic acid and fish oil.
[0022] Preferably, the fermented soybean meal preparation module is configured with a Monod equation, which represents the relationship between the growth rate of the fermented bacteria and the temperature, pH value, and moisture content;
[0023] The Monod equation is:
[0024]
[0025] Among them, μ represents the growth rate of the fermentation bacteria; μmax represents the maximum growth rate; S represents the substrate concentration; Ks is the half-saturation constant; pHopt represents the optimum pH value; Topt represents the optimum temperature; △pH and △T represent the allowable deviation range of pH value and temperature, respectively.
[0026] Preferably, the fermentation bacteria is Rhizopus.
[0027] Preferably, the fermentation bacteria is Rhizopus angelicae Q303.
[0028] Preferably, the feed mixing and granulating module is provided with a particle forming equation, and the particle forming equation is used to express the relationship between feed hardness and humidity, temperature and pressure during the particle forming process;
[0029] The particle forming equation is:
[0030]
[0031] Among them, H represents the hardness of the feed during the pellet molding process; Ho represents the basic hardness; W represents the humidity, expressed in percentage; P represents the extrusion pressure; T represents the extrusion molding temperature; k1, k2, and k3 represent coefficients related to the characteristics of the feed material.
[0032] Preferably, the base material is corn flour and spirulina powder.
[0033] The present invention also provides a method for preparing chicken bone protein feed for breeding, and the preparation method is realized by the above-mentioned system for preparing chicken bone protein feed for breeding.
[0034] Compared with the prior art, the present invention has the following beneficial effects:
[0035] The present invention proposes a preparation system and method for chicken bone protein feed for breeding, which effectively utilizes the byproduct of chicken bones and converts them into high-value-added feed raw materials through scientific treatment and processing. Specifically, the system realizes the complete conversion process from chicken bone raw materials to high-quality feed through the synergistic effect of chicken bone processing module, collagen extraction module, cross-linking reaction module, fermented soybean meal preparation module, feed mixing granulation module and quality control detection module.
[0036] First, the chicken bone processing module effectively removes minerals from the chicken bones through demineralization and enzymatic hydrolysis processes, and retains its rich collagen components, laying the foundation for subsequent extraction work. The collagen extraction module uses specific enzymatic hydrolysis conditions to further extract high-purity collagen, providing an important guarantee for the nutritional value of the feed.
[0037] The innovation of the cross-linking reaction module is that it cross-links feed additives with collagen to generate collagen additives with higher stability and biological activity. This additive can not only improve the nutritional value of feed, but also promote animal digestion and absorption, and improve feed utilization.
[0038] The fermented soybean meal preparation module converts soybean meal into fermented soybean meal rich in probiotics and active ingredients through a fermentation process. This fermented soybean meal not only has better palatability and nutritional value, but also can enhance the immunity of animals and promote their healthy growth.
[0039] The feed mixing and pelleting module mixes collagen additives, fermented soybean meal and base materials into pelleted feed. This process not only simplifies the feeding of feed, but also improves the uniformity and stability of feed. At the same time, the module is also equipped with a pellet forming equation to optimize various parameters in the pellet forming process to ensure the best quality of feed.
[0040] The quality control module performs quality inspection on the pelleted feed produced by the feed mixing and pelleting module. This link ensures that the quality of the feed meets the relevant standards and requirements, providing a strong guarantee for the healthy growth of animals.
[0041] Compared with the prior art, the chicken bone protein feed preparation system for breeding of the present invention has significant advantages. First, the system makes full use of the byproduct resource of chicken bones to realize the resource utilization of waste; second, through scientific treatment and processing technology, the system can prepare feed products with high nutritional value; finally, the system is also equipped with a complete quality control detection mechanism to ensure the quality and safety of the feed. These advantages make the chicken bone protein feed for breeding of the present invention more competitive and have stronger application value in the market. BRIEF DESCRIPTION OF THE DRAWINGS
[0042] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present invention. Moreover, the same reference symbols are used throughout the accompanying drawings to represent the same components. In the accompanying drawings:
[0043] Figure 1 The present invention is a functional block diagram of a system for preparing chicken bone protein feed for breeding. DETAILED DESCRIPTION
[0044] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments described herein. On the contrary, these embodiments are provided in order to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art. It should be noted that, in the absence of conflict, the embodiments of the present invention and the features described in the embodiments can be combined with each other. The present invention will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.
[0045] See also Figure 1 , this embodiment provides a system for preparing chicken bone protein feed for breeding, including a chicken bone processing module, a collagen extraction module, a cross-linking reaction module, a fermented soybean meal preparation module, a feed mixing and granulation module and a quality control detection module;
[0046] Wherein, the chicken bone processing module is configured to demineralize and enzymatically hydrolyze the chicken bone raw materials to obtain enzymatically hydrolyzed chicken bones;
[0047] The collagen extraction module is configured to extract collagen using enzymatically hydrolyzed chicken bones as raw materials to obtain collagen;
[0048] The cross-linking reaction module is configured to cross-link the feed additive with collagen to obtain the collagen additive;
[0049] The fermented soybean meal preparation module is configured to ferment the soybean meal as a fermentation substrate to obtain the fermented soybean meal;
[0050] The feed mixing and pelleting module is configured to mix the collagen additive, fermented soybean meal and base material to form pelletized feed;
[0051] The quality control detection module is configured to perform quality detection on the granular feed produced by the feed mixing and granulating module.
[0052] It can be understood that this embodiment describes in detail an efficient and comprehensive system for preparing chicken bone protein feed for breeding, which ensures the high quality of the feed and the full utilization of nutrients through the coordinated operation of multiple modules.
[0053] Specifically, the system first includes a chicken bone processing module, which uses advanced demineralization and enzymatic hydrolysis technology to deeply process the chicken bone raw materials, effectively remove the mineral components, and convert the chicken bones into enzymatically hydrolyzed chicken bones that are easy to process and utilize in subsequent processes through enzymatic hydrolysis.
[0054] Subsequently, the collagen extraction module receives enzymatically hydrolyzed chicken bones as raw materials and uses scientific extraction technology to efficiently extract high-quality collagen from them. This step not only makes full use of the valuable resources in chicken bones, but also significantly improves the nutritional value and added value of the feed.
[0055] The cross-linking reaction module cross-links the extracted collagen with feed additives to generate collagen additives with special functions. This innovative design not only enhances the physical properties of the feed, such as stability and durability, but also further improves the bioavailability of the feed and its effect on promoting animal growth.
[0056] At the same time, the fermented soybean meal preparation module uses microbial fermentation technology to deeply ferment soybean meal to produce fermented soybean meal rich in probiotics and a variety of active ingredients. This module not only improves the nutritional value of soybean meal, but also enhances the antibacterial ability of feed and the health of the animal digestive system.
[0057] The feed mixing and pelleting module accurately mixes collagen additives, fermented soybean meal, basic materials and other ingredients, and makes them into pelleted feed through the pelleting process. This step ensures the uniformity and stability of feed ingredients, facilitates storage and transportation, and also improves the animal's feeding efficiency and growth rate.
[0058] Finally, the quality control module conducts strict quality inspection on the pelleted feed to ensure that the feed meets relevant standards and requirements. The existence of this module provides a strong guarantee for the safety and effectiveness of the feed, and also lays a solid foundation for the sustainable development of the breeding industry.
[0059] In summary, the preparation system of chicken bone protein feed for breeding provided in this embodiment has the characteristics of advanced technology, simple operation, comprehensive nutrition, excellent quality, etc., and can significantly improve the overall efficiency and competitiveness of the breeding industry.
[0060] In some embodiments of the present application, the chicken bone processing module is further configured to calculate the enzyme dosage according to the enzyme activity at the actual temperature, and the calculation formula is:
[0061]
[0062] Among them, A(T) represents the enzyme activity at the actual temperature; Amax represents the maximum activity value of the enzyme; T represents the actual reaction temperature; Topt represents the optimal temperature of the enzyme; σ represents the constant of the enzyme activity sensitivity to temperature; Eold represents the amount of original enzyme; Aopt represents the enzyme activity at the optimal temperature; Enew represents the enzyme amount.
[0063] In some embodiments of the present application, the chicken bone processing module further enhances its intelligence level. In particular, when it comes to the enzymatic hydrolysis process, the module is carefully designed to dynamically adjust the amount of enzyme according to the temperature in the actual reaction environment. This adjustment process is based on an accurate mathematical model of enzyme activity changing with temperature, ensuring the efficiency and economy of the enzymatic hydrolysis reaction. Specifically, the symbols in the formula are defined as follows:
[0064] A(T) represents the enzyme activity at the actual reaction temperature (T). This value reflects the catalytic ability of the enzyme at the current temperature and is the key basis for adjusting the enzyme dosage. Amax represents the maximum activity value of the enzyme, that is, the highest catalytic efficiency that can be achieved under the optimal working conditions of the enzyme. This value is usually used to standardize enzyme activity data. T is the actual reaction temperature, that is, the ambient temperature of the enzymatic reaction during the chicken bone processing process. Topt represents the optimal temperature of the enzyme, that is, the temperature at which the enzyme activity reaches its maximum value. This is a key parameter for the enzyme to perform its best performance. σ is a constant that describes the sensitivity of enzyme activity to temperature. It reflects the rate and degree of change of enzyme activity with temperature and is an important parameter in the model. Eold represents the original enzyme dosage, that is, the enzyme input amount set according to experience or preset conditions when the temperature effect is not considered. Aopt is the enzyme activity at the optimal temperature Topt and is the reference benchmark in the calculation of enzyme activity. Enew is the new enzyme dosage adjusted according to the enzyme activity at the actual temperature T. This value directly guides the actual amount of enzyme added during the enzymatic hydrolysis process, aiming to ensure reaction efficiency while optimizing costs.
[0065] Through the application of the above formula, the chicken bone processing module can intelligently adjust the enzyme dosage according to the reaction temperature, thereby improving production efficiency and resource utilization while ensuring the chicken bone processing effect.
[0066] In some embodiments of the present application, demineralizing the chicken bone raw material includes:
[0067] Soak the chicken bones in dilute hydrochloric acid for at least 12 hours to demineralize;
[0068] The dilute hydrochloric acid is a 0.5M hydrochloric acid solution.
[0069] In some embodiments of the present application, the collagen extraction module is further configured to calculate the extraction efficiency of collagen according to temperature and pressure, and the calculation formula is:
[0070]
[0071] Among them, Y(T,P) represents the extraction efficiency of collagen; Y0 is the basic extraction efficiency; Ea represents the activation energy; R represents the gas constant; T represents the temperature; P represents the pressure; and n represents the influence index of pressure on the extraction efficiency.
[0072] It is understandable that the collagen extraction module of this embodiment is not only responsible for executing the collagen extraction process, but also incorporates advanced intelligent computing capabilities to accurately evaluate and optimize the extraction efficiency. This module is specially configured with a complex algorithm model, which is based on physical and chemical principles and uses temperature and pressure as key variables to dynamically calculate and predict the extraction efficiency of collagen. Specifically, in this calculation formula, each parameter carries a specific physical meaning and importance:
[0073] Y(T,P): represents the collagen extraction efficiency under given temperature and pressure conditions. It is the key indicator of the model output and directly reflects the performance of the extraction process.
[0074] Y_0: Basic extraction efficiency, is a constant term, representing the theoretical or experimental benchmark extraction efficiency under standard conditions (such as normal temperature and pressure).
[0075] E_a: Activation energy, which is the minimum energy required for a chemical reaction to occur. It is used here to describe the energy threshold required for collagen to be released from the raw material. The larger the value, the more difficult the extraction process is.
[0076] R: Gas constant, a universal physical constant used to convert energy units from joules to energy per mole per Kelvin, ensuring unit consistency in formulas.
[0077] T: Temperature is one of the key factors affecting the rate of chemical reactions. In the process of extracting collagen, appropriately increasing the temperature can accelerate molecular movement, promote the reaction, and thus improve the extraction efficiency.
[0078] P: Pressure. Although it is not traditionally a major variable considered in collagen extraction, under certain special process conditions (such as high pressure assisted extraction), changes in pressure may also have a significant impact on the extraction efficiency.
[0079] n: The influence index of pressure on extraction efficiency is an empirical parameter obtained by fitting experimental data, which is used to quantify the contribution of pressure change to extraction efficiency. Its positive and negative value and size reflect the specific relationship between pressure and extraction efficiency.
[0080] Through the above formula, the collagen extraction module can comprehensively consider the two key factors of temperature and pressure, accurately calculate and predict the extraction efficiency, and provide a scientific basis for process optimization.
[0081] In some embodiments of the present application, the feed additives are trehalose, tetrahydrofolic acid, lipoic acid and fish oil.
[0082] It is understandable that the use of these specific feed additives, trehalose, tetrahydrofolic acid, lipoic acid and fish oil, in this embodiment can bring many benefits. First, trehalose, as a natural sugar, has the effect of improving animal immunity and promoting intestinal health, which helps to improve the growth performance and feed conversion rate of animals. Secondly, tetrahydrofolic acid is an important member of the vitamin B family, which plays a key role in various metabolic processes in animals and helps to promote the absorption and utilization of nutrients in animals. Furthermore, lipoic acid has antioxidant and anti-inflammatory effects in animals, which can protect animal cells from damage and improve the health level of animals. Finally, fish oil is rich in Omega-3 unsaturated fatty acids, which are beneficial to the cardiovascular health, immune system and nervous system of animals, and help to improve the overall health and production performance of animals. Therefore, the combined use of these feed additives can significantly improve the production performance and health status of animals.
[0083] In some embodiments of the present application, the fermented soybean meal preparation module is configured with a Monod equation, which represents the relationship between the growth rate of the fermentation bacteria and the temperature, pH value, and moisture content;
[0084] The Monod equation is:
[0085]
[0086] Among them, μ represents the growth rate of the fermentation bacteria; μmax represents the maximum growth rate; S represents the substrate concentration; Ks is the half-saturation constant; pHopt represents the optimum pH value; Topt represents the optimum temperature; △pH and △T represent the allowable deviation range of pH value and temperature, respectively.
[0087] It is understandable that the fermented soybean meal preparation module of this embodiment is carefully configured with the Monod equation, a mathematical model that deeply reveals the complex relationship between the growth rate of fermented bacteria and the environmental conditions in which they are located. Specifically, the Monod equation not only considers the basic factor that directly affects the growth of bacteria, the substrate concentration (S), but also incorporates the effects of key parameters such as temperature, pH value and moisture content on the growth rate, thereby constructing a comprehensive and accurate prediction framework.
[0088] Each symbol in the Monod equation carries a specific physical meaning and biological connotation. μ represents the instantaneous growth rate of the fermenting bacteria, which directly reflects the reproduction rate of the bacteria under the current conditions; μmax is the maximum growth rate of the bacteria under ideal conditions, which is an important indicator for evaluating the growth potential of the bacteria. S is the substrate concentration, that is, the content of nutrients required for bacterial growth. It shows a typical Monod relationship with the growth rate, that is, when S is low, the growth rate increases rapidly with the increase of S, but when S reaches a certain level, the increase in growth rate tends to be slow.
[0089] In addition, two parameters, pHopt and Topt, are introduced into the equation, representing the optimum pH value and optimum temperature for bacterial growth, respectively. The setting of these two parameters enables the model to more accurately predict the growth of bacteria under different pH and temperature conditions. At the same time, △pH and △T represent the allowable deviation range of pH value and temperature, respectively, which reflect the tolerance of bacteria to changes in environmental conditions. By adjusting these two parameters, the model's adaptability to different environmental conditions can be further refined.
[0090] In summary, the Monod equation configured in the fermented soybean meal preparation module in this embodiment not only reflects the ability to accurately predict the growth rate of the bacteria, but also fully considers the influence of environmental factors on the growth rate, providing strong theoretical support for optimizing the fermentation process and improving the soybean meal fermentation efficiency.
[0091] In some embodiments of the present application, the fermentation bacteria is Rhizopus.
[0092] In some embodiments of the present application, the fermentation bacteria is Rhizopus angelicae Q303.
[0093] It is understandable that the present embodiment can significantly improve the efficiency and quality of the fermentation process by using a specific fermentation cell (Angel Rhizopus Q303). This specific cell has stronger fermentation ability, more stable performance and is more adaptable to specific fermentation conditions, thereby helping to optimize the production process, improve product yield and quality, and reduce production costs.
[0094] In some embodiments of the present application, the feed mixing and pelleting module is configured with a pellet forming equation, which is used to represent the relationship between feed hardness and humidity, temperature, and pressure during pellet forming;
[0095] The particle forming equation is:
[0096]
[0097] Among them, H represents the hardness of the feed during the pellet molding process; Ho represents the basic hardness; W represents the humidity, expressed in percentage; P represents the extrusion pressure; T represents the extrusion molding temperature; k1, k2, and k3 represent coefficients related to the characteristics of the feed material.
[0098] It can be understood that a pellet forming equation is carefully designed for the feed mixing and pelleting module of this embodiment, which is intended to accurately describe and quantify how the feed hardness is affected by key factors such as humidity, temperature and pressure during the pellet forming process. This equation not only provides a scientific analysis tool for the feed processing industry, but also greatly improves the controllability of the pelleting process and the quality of the final product.
[0099] Specifically, the meanings of the various symbols in the particle forming equation are as follows:
[0100] H represents the final hardness of the feed during the pellet forming process and is one of the important indicators for measuring pellet quality.
[0101] Ho is an expression of basic hardness, which reflects the inherent hardness characteristics of the feed raw material itself and is a constant term in the equation.
[0102] W represents the moisture content of the feed, given in percentage. Humidity is one of the key factors affecting feed pellet formation. Too high or too low humidity may result in substandard pellet quality.
[0103] P stands for extrusion force, which is the pressure applied to the feed during the pelleting process. Appropriate pressure helps the feed particles to be tightly combined and improves the hardness and stability of the particles.
[0104] T is the extrusion molding temperature. Changes in temperature will affect the physical and chemical properties of the feed, and thus affect the molding effect of the pellets.
[0105] k1, k2, k3 are coefficients closely related to the characteristics of feed materials. They reflect the degree and direction of the influence of humidity, pressure and temperature on feed hardness. The specific values of these coefficients need to be determined through experimental measurement and data analysis to ensure the accuracy and applicability of the equation.
[0106] By applying this pellet forming equation, feed manufacturers can more accurately control the various parameters in the pelleting process, thereby producing feed pellets that meet quality requirements. At the same time, this equation also provides strong theoretical support for the improvement and optimization of feed processing technology.
[0107] In some embodiments of the present application, the base material is corn flour and spirulina powder.
[0108] The present invention also provides a method for preparing chicken bone protein feed for breeding, and the preparation method is realized by the above-mentioned system for preparing chicken bone protein feed for breeding.
[0109] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.
[0110] The present application is described with reference to flowcharts and / or block diagrams of methods, devices (systems) and computer program products according to embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.
[0111] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.
[0112] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.
[0113] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.
Claims
1. A system for preparing chicken bone protein feed for breeding, characterized in that: It includes chicken bone processing module, collagen extraction module, cross-linking reaction module, fermented soybean meal preparation module, feed mixing and granulation module and quality control detection module; Wherein, the chicken bone processing module is configured to demineralize and enzymatically hydrolyze the chicken bone raw materials to obtain enzymatically hydrolyzed chicken bones; The collagen extraction module is configured to extract collagen using enzymatically hydrolyzed chicken bones as raw materials to obtain collagen; The cross-linking reaction module is configured to cross-link the feed additive with collagen to obtain the collagen additive; The fermented soybean meal preparation module is configured to ferment the soybean meal as a fermentation substrate to obtain the fermented soybean meal; The feed mixing and pelleting module is configured to mix the collagen additive, fermented soybean meal and base material to form pelletized feed; The quality control detection module is configured to perform quality detection on the granular feed produced by the feed mixing and granulating module.
2. The system for preparing chicken bone protein feed for breeding according to claim 1, characterized in that: The chicken bone processing module is also configured to calculate the enzyme dosage according to the enzyme activity at the actual temperature, and the calculation formula is: Among them, A(T) represents the enzyme activity at the actual temperature; Amax represents the maximum activity value of the enzyme; T represents the actual reaction temperature; Topt represents the optimal temperature of the enzyme; σ represents the constant of the enzyme activity sensitivity to temperature; Eold represents the amount of original enzyme; Aopt represents the enzyme activity at the optimal temperature; Enew represents the enzyme amount.
3. The system for preparing chicken bone protein feed for breeding according to claim 1, characterized in that: Demineralization of chicken bone raw materials includes: Soak the chicken bones in dilute hydrochloric acid for at least 12 hours to demineralize; The dilute hydrochloric acid is a 0.5M hydrochloric acid solution.
4. The system for preparing chicken bone protein feed for breeding according to claim 1, characterized in that: The collagen extraction module is also configured to calculate the extraction efficiency of collagen according to temperature and pressure, and the calculation formula is: Among them, Y(T,P) represents the extraction efficiency of collagen; Y0 is the basic extraction efficiency; Ea represents the activation energy; R represents the gas constant; T represents the temperature; P represents the pressure; and n represents the influence index of pressure on the extraction efficiency.
5. The system for preparing chicken bone protein feed for breeding according to claim 1, characterized in that: The feed additives are trehalose, tetrahydrofolic acid, lipoic acid and fish oil.
6. The system for preparing chicken bone protein feed for breeding according to claim 1, characterized in that: The fermented soybean meal preparation module is configured with a Monod equation, which represents the relationship between the growth rate of the fermented bacteria and the temperature, pH value, and moisture content; The Monod equation is: Among them, μ represents the growth rate of the fermentation bacteria; μmax represents the maximum growth rate; S represents the substrate concentration; Ks is the half-saturation constant; pHopt represents the optimum pH value; Topt represents the optimum temperature; △pH and △T represent the allowable deviation range of pH value and temperature, respectively.
7. The system for preparing chicken bone protein feed for breeding according to claim 1 or 6, characterized in that: The fermentation bacteria is Rhizopus.
8. The system for preparing chicken bone protein feed for breeding according to claim 1, characterized in that: The feed mixing and granulating module is provided with a particle forming equation, which is used to express the relationship between feed hardness and humidity, temperature and pressure during the particle forming process; The particle forming equation is: Among them, H represents the hardness of the feed during the pellet molding process; Ho represents the basic hardness; W represents the humidity, expressed in percentage; P represents the extrusion pressure; T represents the extrusion molding temperature; k1, k2, and k3 represent coefficients related to the characteristics of the feed material.
9. The system for preparing chicken bone protein feed for breeding according to claim 1, characterized in that: The basic materials are corn flour and spirulina powder.
10. A method for preparing chicken bone protein feed for breeding, characterized in that: The preparation method is realized by the preparation system of the chicken bone protein feed for breeding according to any one of claims 1 to 9.