High-protein insect animal feed and preparation method thereof

Abstract

The invention relates to the technical field of animal feed preparation, and discloses a high-protein insect animal feed and a preparation method thereof.The preparation method comprises the following steps that high-protein insect raw materials are selected and subjected to cleaning, impurity removal, drying and crushing treatment, particle size distribution is optimized, and the crushing particle size is controlled; the method comprises the following steps: dispersing a nano magnetic material into an organic solvent to prepare a magnetic response solvent, and performing grease extraction through a variable-frequency magnetic field; extracting insect protein by adopting an alkali dissolution-isoelectric precipitation method; mixing the protein powder, the basic raw materials, the nutrition enhancer and water, and granulating; and finally sterilizing and drying. The method adopts a new process of extracting grease by combining a magnetic response solvent with a variable-frequency magnetic field, so that the extraction efficiency of insect protein and the feed quality are remarkably improved.

Description

Technical Field

[0001] The present invention relates to the technical field of animal feed preparation, and more particularly to a high-protein insect animal feed and a preparation method thereof. Background Art

[0002] As people's awareness of food quality and safety increases, the increasingly refined and nutritionally balanced animal feed formula has become an inevitable trend. In the field of animal feed additives, insects have attracted much attention as a new type of high-protein feed raw material. However, the existing preparation process has problems such as incomplete oil removal and large protein loss, which leads to a decrease in the nutritional value of the feed.

[0003] The Chinese patent application with publication number CN116113329A discloses an animal feed containing insects or insect powder and a polypeptide with protease activity, and a method for using protease to degrade the exoskeleton of arthropods and improve the nutritional value of insects. Although the invention improves the digestion and absorption rate of insects to a certain extent, it does not involve the problem of efficient extraction of oil and protein loss control. In addition, exogenous proteases may affect the flavor of feed and reduce the feed intake of animals.

[0004] Chinese patent application with publication number CN114340401A discloses a biomass composition containing insect particles and a preparation method thereof, which can be used to produce fertilizers, biofuels and animal feed. Although insect particles are prepared by mechanical crushing, it is difficult to obtain an ideal particle size distribution due to the lack of fine control over the crushing process. At the same time, the extraction efficiency of oil and protein needs to be further improved.

[0005] In summary, the existing insect feed preparation technology lacks optimized control of the crushing process, resulting in unsatisfactory particle size distribution of feed particles, low oil extraction efficiency, residual oil affecting product quality, serious protein loss, and reduced nutritional value of the feed. Summary of the invention

[0006] In order to overcome the above-mentioned defects of the prior art, the first aspect of the present application proposes a method for preparing a high-protein insect animal feed, comprising:

[0007] Step S1000, selecting a high-protein insect raw material, washing and removing impurities from the selected insect raw material, drying the washed and removed insect raw material, preliminarily crushing the dried insect raw material to obtain a preliminarily crushed insect raw material, optimizing the particle size distribution of the preliminarily crushed insect raw material, and controlling the crushing particle size to obtain a crushed insect raw material;

[0008] Step S2000, uniformly dispersing the nano-magnetic material in an organic solvent to prepare a magnetically responsive solvent, and optimizing the composition of the magnetically responsive solvent; using the magnetically responsive solvent, using a variable frequency magnetic field to extract oil from the crushed insect raw material; after the oil extraction is completed, stopping the variable frequency magnetic field, using a static magnetic field to separate the oil from the magnetically responsive solvent, and obtaining the insect raw material after the oil extraction;

[0009] Step S3000, putting the insect raw material after oil extraction into an alkaline solution, and using alkaline dissolution-isoelectric precipitation method to separate and extract high-quality insect protein to obtain insect protein powder;

[0010] Step S4000, mixing insect protein powder, basic raw materials, nutritional enhancers and water in a first ratio, and granulating to obtain wet feed pellets; the nutritional enhancers include minerals, vitamins and amino acids; the basic raw materials include corn and soybean meal;

[0011] Step S5000, sterilize and dry the wet feed particles to obtain the final high-protein insect animal feed.

[0012] Furthermore, the cleaning and impurity removal of the selected insect raw materials includes: using a screening method to remove coarse impurities on the insect body surface; using an air selection method to remove light impurities; using a water washing method to remove residual fine impurities and wash away dirt on the body surface.

[0013] Furthermore, the optimization of the particle size distribution of the insect raw material after preliminary crushing includes:

[0014] Through screening tests, the particle size distribution of the insect raw materials after preliminary crushing is analyzed, and the actual particle size distribution curve is drawn; the ideal particle size distribution curve is determined;

[0015] Comparing the difference between the actual particle size distribution curve and the ideal particle size distribution curve, identifying the particle size deviation interval; the particle size deviation interval includes a coarse interval and a fine interval;

[0016] Adjust the process parameters for the coarse and fine intervals, repeat the screening test based on the adjusted process parameters, and compare the difference between the actual particle size distribution curve and the ideal particle size distribution curve until the ideal particle size distribution is met.

[0017] Furthermore, the sieving test is used to analyze the particle size distribution of the insect raw material after preliminary crushing, and the actual particle size distribution curve is drawn, which includes:

[0018] Select a series of standard sieves with different mesh sizes to grade and screen the insect raw materials after preliminary crushing;

[0019] Weigh the mass of the retained material on each sieve and calculate the mass fraction of each particle size as the retention rate;

[0020] The actual particle size distribution curve is drawn with the sieve size as the abscissa and the interception rate as the ordinate. Each point on the actual particle size distribution curve represents the mass percentage of particles smaller than the corresponding sieve size.

[0021] Furthermore, the identification of the granularity deviation interval includes:

[0022] Determine the particle size range of the insect raw material after initial crushing;

[0023] The particle size range of the insect raw material after preliminary crushing is divided into n1 particle size intervals;

[0024] Calculate the average deviation Δf between the actual particle size distribution curve and the ideal particle size distribution curve in each particle size range;

[0025] A deviation threshold ε is set. If Δf<-ε, the interval is judged to be thin as a whole and is a thin interval; if Δf>+ε, the interval is judged to be thick as a whole and is a thick interval; if |Δf|≤ε, it is regarded as a normal interval, which conforms to the ideal distribution; ε is a positive number.

[0026] Furthermore, the controlling of the crushing particle size comprises:

[0027] Establish a mathematical model of crushing particle size and specific surface area; Establish a mathematical model of crushing power consumption and particle size;

[0028] A crushing particle size optimization model is established by combining a mathematical model of crushing particle size and specific surface area and a mathematical model of crushing power consumption and particle size; the crushing particle size optimization model includes a constraint target and constraint conditions, and the constraint conditions include a particle size constraint and a specific surface area constraint;

[0029] The optimal value of the crushing particle size is solved according to the crushing particle size optimization model and marked as the optimal particle size;

[0030] Monitor the actual particle size of the crushing process online and dynamically adjust equipment parameters based on the deviation between the optimal particle size and the actual particle size.

[0031] Furthermore, the optimization of the magnetic response solvent composition includes: determining the solubility parameter δ of the oil to be extracted from the crushed insect raw material o ; Calculate the compatibility parameter χ between oil and magnetic responsive solvent. When χ is the smallest, it corresponds to the optimal magnetic responsive solvent composition.

[0032] The calculation of the compatibility parameter x of the grease and the magnetically responsive solvent includes:

[0033] Select k' kinds of magnetically responsive solvent components and obtain the solubility parameters δ of the k' kinds of magnetically responsive solvent components respectively. si , δ si represents the solubility parameter of the i-th solvent component, 1≤i≤k';

[0034] Determine the extraction temperature T, and measure the viscosity η of the k'-element magnetic response solvents with different compositions at the extraction temperature T m ;

[0035] According to the solubility parameter δ of the magnetically responsive solvent component si 、Solubility parameter δ of oil o , extraction temperature T and viscosity η of the magnetically responsive solvent m , calculate the compatibility parameter χ of oil and magnetic responsive solvent.

[0036] Furthermore, the method of extracting oil from the crushed insect raw material using a variable frequency magnetic field comprises:

[0037] mixing the crushed insect raw material and the magnetically responsive solvent in a second ratio to obtain a mixture;

[0038] The mixture is placed in a variable frequency magnetic field to induce the magnetically responsive solvent to produce magneto-induced heating and vibration effects, thereby destroying the insect cell walls and releasing oil;

[0039] Optimize the oil extraction process parameters to obtain the best oil extraction rate; the oil extraction process parameters include the mass ratio of the crushed insect raw material to the magnetic response solvent, the magnetic field frequency, the magnetic field intensity and the extraction time.

[0040] Furthermore, the optimization of oil extraction process parameters includes:

[0041] Determine the numerical range of oil extraction process parameters;

[0042] Adopting the orthogonal test design method, within the numerical range of the oil extraction process parameters, 3-5 levels of each factor are selected to design an orthogonal test; the factors refer to the oil extraction process parameters;

[0043] According to the orthogonal test results, calculate the average oil extraction rate K of each factor level j,l ; K j,l represents the average oil extraction rate of factor j at level l;

[0044] For each factor, compare the mean K of its levels j,l , select K j,l The level with the largest value is taken as the optimal level of the factor.

[0045] The second aspect of the present application proposes a high-protein insect animal feed, which is prepared according to the above-mentioned high-protein insect animal feed preparation method.

[0046] The method for preparing high-protein insect animal feed described in this application can at least bring the following beneficial effects:

[0047] The preparation method can effectively improve the quality of raw materials and improve the efficiency of subsequent processing by selecting high-protein insects as raw materials and using a series of pretreatment processes such as cleaning, decontamination, drying, crushing, and optimizing particle size distribution. Secondly, the use of magnetic response solvents and variable frequency magnetic field technology to extract oils and fats avoids the energy consumption problem of traditional heating extraction, and the oil extraction is more thorough. By optimizing the composition of magnetic response solvents and oil extraction process parameters, the extraction time can be shortened while ensuring the extraction rate, saving costs. Furthermore, the alkali dissolution-isoelectric precipitation method is used to separate and extract high-quality insect protein, which is simple to operate and has high product purity, which is conducive to obtaining high-quality protein raw materials. Finally, insect protein powder is mixed with corn, soybean meal, minerals, vitamins, amino acids, etc. for granulation, and then sterilized and dried to produce a nutritionally comprehensive, hygienic and safe animal feed product. In general, the preparation method of the present application has been systematically optimized from raw material pretreatment, oil extraction, protein extraction to finished product processing, which not only ensures product quality, but also takes into account production efficiency and cost, and provides a useful technical solution for the industrial production of high-protein insect feed.

[0048] The high-protein insect animal feed described in this application can at least bring the following beneficial effects:

[0049] The insect animal feed uses high-protein insects as the main raw material. Compared with traditional fish meal and meat and bone meal, it has the advantages of rich resources, short growth cycle, high feed conversion rate, strong disease resistance, etc., which can greatly reduce the cost of feed production. At the same time, the amino acid composition of insect protein is similar to that of meat, which is easily absorbed by animals, which is conducive to improving the feeding effect. In addition, the feed adopts key processes such as oil extraction and sterilization during the production process to remove harmful substances in the feed and improve the safety of the product. Furthermore, by adding basic raw materials such as corn and soybean meal and nutritional enhancers such as minerals, vitamins, and amino acids, the nutritional needs of animal growth and development can be fully met and the healthy growth of animals can be promoted. Finally, the feed is processed by granulation, drying and other processes, has a good taste and storage quality, and is easy to transport and use. In summary, the high-protein insect animal feed of the present application has high nutritional value, good safety, and convenient use. It can be used as a high-quality substitute for traditional protein feeds such as fish meal and meat and bone meal, and has broad application prospects in the fields of livestock, poultry, and aquatic products. At the same time, the development of the insect feed industry has also made positive contributions to the rational use of food resources, the high value of agricultural waste, and the sustainable development of the ecological environment. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0051] Figure 1 This is a flow chart of the method for preparing high-protein insect animal feed in the present invention;

[0052] Figure 2 This is a flow chart of a method for cleaning and removing impurities from selected insect raw materials in the method for preparing high-protein insect animal feed of the present invention;

[0053] Figure 3 A flow chart of a method for optimizing the particle size distribution of insect raw materials after preliminary crushing in the method for preparing high-protein insect animal feed of the present invention;

[0054] Figure 4 A flow chart of a method for analyzing the particle size distribution of insect raw materials after preliminary crushing and drawing an actual particle size distribution curve in the method for preparing high-protein insect animal feed of the present invention;

[0055] Figure 5 A flow chart of a method for identifying particle size deviation intervals in a method for preparing high-protein insect animal feed of the present invention;

[0056] Figure 6 The present invention is a flow chart of a method for controlling the crushing particle size in the method for preparing high-protein insect animal feed;

[0057] Figure 7 A flow chart of a method for optimizing the composition of a magnetically responsive solvent in a method for preparing a high-protein insect animal feed of the present invention;

[0058] Figure 8 This is a flow chart of a method for extracting oil from crushed insect raw materials using a variable frequency magnetic field in the method for preparing high-protein insect animal feed of the present invention;

[0059] Fig. 9 The present invention is a flow chart of a method for optimizing oil extraction process parameters in the method for preparing high-protein insect animal feed. DETAILED DESCRIPTION

[0060] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0061] Example 1

[0062] See also Figure 1 As shown, this embodiment provides a method for preparing a high-protein insect animal feed, comprising:

[0063] Step S1000, selecting a high-protein insect raw material, washing and removing impurities from the selected insect raw material, drying the washed and removed insect raw material, preliminarily crushing the dried insect raw material to obtain a preliminarily crushed insect raw material, determining a particle size range of the preliminarily crushed insect raw material, optimizing a particle size distribution of the preliminarily crushed insect raw material, and controlling the crushing particle size to obtain a crushed insect raw material;

[0064] Furthermore, step S1000 includes:

[0065] Step S1100, selecting high-protein insect raw materials, wherein the insect raw materials include black soldier fly larvae, silkworm pupae and fly maggots;

[0066] Feed production companies should select insect species with high protein content and balanced essential amino acid composition as raw materials according to the nutritional needs of target animals and feed formulation requirements. Commonly used high-protein insects include black soldier fly larvae, silkworm pupae, fly maggots, etc. Black soldier fly larvae are a high-quality insect feed source with high protein content, usually between 30% and 40%. They are rich in essential amino acids, fatty acids (especially Omega-3 and Omega-6), as well as vitamins and minerals. The protein composition of black soldier fly larvae is similar to that of fish meal and is suitable for a variety of animal feed formulations. Black soldier fly larvae can effectively utilize organic waste for growth, with a high conversion rate, reducing the impact of waste on the environment. They have a short life cycle and are suitable for large-scale production. Silkworm pupae are a by-product of silk production, containing about 50% to 60% protein and are rich in amino acids such as lysine and arginine. Silkworm pupae have high protein quality, suitable for carnivorous and omnivorous animals. They are rich in fat, vitamins and minerals, which help animals grow and improve immunity. Silkworm pupae are a by-product of silk production, which can effectively utilize resources and reduce production costs. Maggots are fast-growing insects with high nutritional value in their larval stage, usually containing 40% to 50% protein. The larvae have a short growth cycle and can provide a large amount of high-quality feed in a short period of time. Maggots have strong digestion and absorption capacity, which helps to improve feed conversion rate. They are highly adaptable and can grow in different environments, and the production cost is relatively low.

[0067] These three insects have high protein content and balanced amino acid composition, which can meet the nutritional needs of a variety of animals. Using these insects can effectively transform organic waste, promote circular economy and reduce environmental burden. These insects have a short reproduction cycle and low production cost, providing feed companies with an economical and effective raw material option. Therefore, black soldier fly larvae, silkworm pupae and fly maggots are not only excellent in nutritional value, but also can effectively utilize resources, have significant environmental and economic benefits, and are suitable for the needs of modern feed production.

[0068] Step S1200, as Figure 2 As shown, the selected insect raw materials are cleaned and impurities are removed;

[0069] Further, step S1200 includes:

[0070] Step S1210, using a screening method to remove coarse impurities on the insect body surface;

[0071] Step S1220, using an air selection method to remove light impurities;

[0072] Step S1230, using a water washing method to remove residual fine impurities and clean the dirt on the body surface.

[0073] Step S1200 is to remove various harmful or useless non-insect components in the insect raw material before further processing. Screening is mainly aimed at larger solid impurities, such as excrement, food residues, molting, etc. The mesh aperture should be slightly smaller than the minimum particle size of the insect body, and should not be too small to avoid blocking the passage and reducing the screening efficiency. Wind selection can effectively remove impurities with small specific gravity, especially the wing shells and hairs of adults will be blown away with the airflow, while the insect body will deviate from the airflow under the action of wind and be separated. The wind speed and direction should be moderate. Too much wind will carry away the raw materials, which is not conducive to separation. Water washing mainly cleans the dirt on the surface of the insect body. Generally, tap water or clean water is used, and the water temperature should not exceed 40°C to avoid protein denaturation. It is necessary to remove impurities, which can increase the purity of the raw materials by 2-5 percentage points and reduce the risk of subsequent impurity interference and contamination of products. However, it is also necessary to minimize the loss of insect bodies and avoid the waste and loss of useful proteins.

[0074] Step S1300, drying the insect raw material after cleaning and impurity removal;

[0075] Step S1300 is to remove excess moisture from the insect raw material and reduce the moisture content. On the one hand, moisture is an important inducement for the growth of microorganisms, and too high a moisture content will accelerate the corruption and deterioration of the raw material. On the other hand, the moisture content affects the crushing effect and degreasing efficiency, and it is generally advisable to control it within 10%. Common drying methods include drying and freeze drying. Low-temperature drying is hot air drying at 40-60°C. The drying speed is fast and the equipment requirements are low, but the temperature is not easy to control. Over time, it may cause local overheating and protein denaturation. Freeze drying is to freeze the raw material first, and then sublimate and dehydrate it under vacuum conditions. This method has a low drying temperature and almost no damage to the nutrients, but the cost is high. Drying should be based on the specific surface area, water content, tissue structure and other characteristics of the insect raw material, and select appropriate drying methods and parameters. For example, small body and large specific surface are easy to dry, while large body and thick cuticle are suitable for freeze drying. The general principle is to fully dehydrate and avoid protein denaturation caused by high temperature or too long time, which reduces nutritional value and digestibility.

[0076] Step S1400, preliminarily crushing the dried insect raw material to obtain the preliminarily crushed insect raw material, determining the particle size range of the preliminarily crushed insect raw material, optimizing the particle size distribution of the preliminarily crushed insect raw material, and controlling the crushing particle size to obtain the crushed insect raw material.

[0077] Further, step S1400 includes:

[0078] Step S1410, preliminarily crushing the dried insect raw material, and determining the particle size range of the preliminarily crushed insect raw material;

[0079] Crushing is the process of using external force to break and fracture solid materials and reduce the particle size. Crushing methods include grinding, shearing, impact, etc. For insect raw materials, blade crushers or hammer crushers are often used. Blade crushers use high-speed rotating blades to cut insects into pieces through shearing. Hammer crushers use high-speed rotating hammers to crush insects through impact. The basic principles of the two crushers are different, and their crushing effects and applicable raw materials are also different.

[0080] Take the black soldier fly larvae as an example. Due to their small size and thin exoskeleton, they are suitable for blade crushers. When the larvae pass through the narrow gap between the rotating blades, they are cut into small pieces under the action of shear force. Parameters such as the blade speed, blade gap width, and feed rate will affect the crushing particle size. Generally speaking, the higher the blade speed, the narrower the blade gap, the slower the feed, the more thorough the crushing, and the smaller the particle size. However, it will also increase power consumption and reduce production efficiency.

[0081] The purpose of crushing is to expand the specific surface area of ​​the insect raw material to prepare for the subsequent degreasing and extraction process. Smaller particles are conducive to solvent penetration and accelerate the mass transfer and heat transfer process. However, if the crushing is too fine, it will increase dust, agglomeration and other problems, which is not conducive to operation. Therefore, the crushing particle size needs to weigh the pros and cons and select a suitable range. For black soldier fly larvae, the ideal particle size after initial crushing is between 2-4mm. This particle size range can meet the subsequent process requirements without consuming too much energy.

[0082] Step S1420, optimizing the particle size distribution of the insect raw material after preliminary crushing;

[0083] Furthermore, if Figure 3 As shown, step S1420 includes:

[0084] Step S1421, analyzing the particle size distribution of the insect raw material after preliminary crushing through a screening test, and drawing an actual particle size distribution curve;

[0085] Furthermore, if Figure 4 As shown, step S1421 includes:

[0086] Step S14211, selecting a series of standard sieves with different mesh sizes to grade and screen the insect raw materials after preliminary crushing;

[0087] Step S14212, weighing the mass of the retained material on each sieve, and calculating the mass fraction of each particle size as the retention rate;

[0088] Step S14213, plotting an actual particle size distribution curve with the sieve size as the horizontal coordinate and the interception rate as the vertical coordinate, wherein each point on the actual particle size distribution curve represents the mass percentage of particles smaller than the corresponding sieve size.

[0089] Particle size distribution refers to the mass percentage of particles in different particle size ranges after initial crushing. Particles of different sizes play different roles in subsequent processes such as degreasing extraction and protein separation. Particle size distribution directly affects the tightness and permeability of the material bed, which in turn affects the mass transfer efficiency and extraction rate.

[0090] Generally speaking, the smaller the particles, the larger the specific surface area, which is more conducive to solvent penetration and oil extraction. However, if the particles are crushed too finely, it will increase the difficulty of screening, transportation, storage and other links, and it is easy to generate dust and agglomeration. If the particles are too large, the material bed will be loose, the solvent will not penetrate easily, and the extraction of oil and protein will be incomplete. Therefore, to optimize the particle size distribution, it is necessary to adjust the proportion of particles of each size within the crushing particle size range so that it can meet the process requirements while taking into account production efficiency and cost.

[0091] The sieving test is to classify the particles after preliminary crushing through a series of standard sieves with different apertures. When the particles pass through the sieve, the particles larger than the sieve holes are retained, while the particles smaller than the sieve holes pass through and enter the next level of sieve. The interceptions on each level of sieve are accumulated, representing the mass fraction of different particle size ranges. Plotting these data into a curve will obtain the particle size distribution curve.

[0092] Taking the crushed silkworm pupa as an example, we must first select a suitable standard sieve series. Commonly used sieve series include R20, R40, etc. For silkworm pupa powder, 8 levels of sieve holes, including 5.66, 4.00, 2.83, 2.00, 1.41, 1.00, 0.71, and 0.50, can be used to form the R20 sieve series. Place an appropriate amount of sample on the top sieve, cover the sieve cover, and install the feed tray. Vibrate on a vibrating screen for 20 minutes to fully grade the particles. Then, remove each sieve, weigh the mass of the particles in each level of sieve and the feed tray, and calculate the mass fraction of each particle size range, that is, the retention rate on the sieve.

[0093] The mesh size d i' is the horizontal axis, and the corresponding retention rate f i' As the vertical axis, draw the particle size distribution curve. i' is the cumulative interception rate, indicating that the particle size is larger than d i' The percentage of particle mass to total mass. On the semi-logarithmic coordinate paper, d i' and f i' The data points are marked one by one, and then connected with a smooth curve to obtain the actual particle size distribution curve. This curve reflects the actual particle size composition of silkworm pupa powder. By analyzing the shape of the curve and combining it with production requirements, the crushing process can be evaluated and improved. Generally speaking, the steeper the cumulative distribution curve, the higher the particle size concentration and the better the crushing effect; the flatter the curve, the more dispersed the particle size and the uneven crushing.

[0094] Drawing the actual particle size distribution curve is the basis for optimizing the crushing particle size. Only by fully understanding the actual particle size composition of the crushed material can we adjust the process in a targeted manner and ultimately achieve the ideal particle size distribution. Especially for new raw materials or new equipment, it is even more necessary to understand their crushing characteristics through screening tests and distribution curves to provide data support for process optimization. It can be seen that this step is simple but crucial and is an indispensable part of particle size distribution optimization.

[0095] Step S1422, determining an ideal particle size distribution curve;

[0096] Step S1423, comparing the difference between the actual particle size distribution curve and the ideal particle size distribution curve, and identifying the particle size deviation interval; the particle size deviation interval includes a coarse interval and a fine interval;

[0097] Furthermore, if Figure 5As shown, step S1423 includes:

[0098] Step S14231, dividing the particle size range of the initially crushed insect raw material into n1 particle size intervals;

[0099] Step S14232, calculating the average deviation value Δf between the actual particle size distribution curve and the ideal particle size distribution curve in each particle size range;

[0100] Step S14233, set the deviation threshold ε. If Δf<-ε, the interval is judged to be thin as a whole, and is a thin interval; if Δf>+ε, the interval is judged to be coarse as a whole, and is a coarse interval; if |Δf|≤ε, it is regarded as a normal interval, which conforms to the ideal distribution; ε is a positive number.

[0101] Step S1424, adjusting the process parameters for the coarse interval and the fine interval, and repeating steps S1421-S1423 according to the adjusted process parameters until the ideal particle size distribution is met.

[0102] The ideal particle size distribution is an optimal particle size composition summarized based on subsequent process requirements and production practices. It comprehensively considers factors such as extraction efficiency, energy consumption cost, and operating difficulty, and represents the optimal solution for crushing particle size under current conditions. Therefore, determining the ideal particle size distribution is a key step in optimizing the crushing process. The determination of the ideal particle size distribution requires repeated production practice and systematic law summary. It is necessary to refer to literature and other people's experience, and to base on the characteristics of one's own raw materials and equipment conditions. For new projects or new products, experimental design and statistical analysis methods can be used to approach the ideal particle size distribution in a relatively short period of time. For projects in production, the process parameters can be gradually adjusted to continuously optimize the particle size composition and ultimately achieve the expected distribution. In either case, the ideal particle size distribution is dynamically changing and needs to be continuously corrected and improved during production.

[0103] It must be pointed out that the ideal particle size distribution is not unique, but varies due to differences in raw materials, processes, and equipment. For example, for the degreasing process, the proportion of fine particles can be higher; while for the puffing process, the proportion of coarse particles should be larger. Different insect raw materials have different optimal particle size compositions. But the general principle is to meet process requirements, reduce energy consumption and dust, and facilitate transportation and storage. This requires production companies to actively explore the ideal particle size distribution that suits them in practice and take it as an important goal of crushing optimization.

[0104] In order to quantitatively evaluate the difference between the actual particle size distribution and the ideal particle size distribution, it is necessary to discretize the continuous particle size range and divide it into several particle size intervals. The interval division should be as uniform as possible to cover the entire particle size range. The number of intervals n1 should not be too many to avoid excessive calculations; nor should it be too few, otherwise some subtle differences will be covered. Generally, n1 = 6 to 10 is appropriate.

[0105] Taking fly maggot crushing material as an example, the particle size range of 0-3mm can be divided into 6 intervals, namely 0-0.5mm, 0.5-1.0mm, 1.0-1.5mm, 1.5-2.0mm, 2.0-2.5mm and 2.5-3.0mm. In this way, the interval will not be too wide, resulting in the average difference, nor will it be too narrow, increasing unnecessary calculations.

[0106] Next, we need to calculate the degree of deviation between the actual particle size distribution and the ideal particle size distribution in each interval. i ” ,a represents the average interception rate of the "i" interval on the actual distribution curve, f i ” ,r It represents the average interception rate of the "i" interval on the ideal distribution curve. The difference between the two is Δf i ” = f i ” ,a -f i ” ,r It reflects the degree of deviation of the actual distribution in this interval. i " is positive, indicating that the actual interception rate is higher than the ideal value and the particles are coarse; Δf i " is negative, which means the actual interception rate is lower than the ideal value and the particles are fine. i The larger the absolute value of , the more serious the deviation.

[0107] But not all deviations need to be corrected. Due to changes in production conditions and measurement errors, the actual particle size distribution cannot completely conform to the ideal distribution. Therefore, a deviation threshold ε should be set. i ”|≤ε, the particle size composition of the i-th interval can be considered acceptable and no special adjustment is required. i When |>ε, it is determined that the particle size in this interval is seriously deviated and needs further optimization. The value of ε needs to be determined according to production practice, and can generally be taken as 5% to 10% of the actual retention rate.

[0108] The purpose of setting the deviation threshold is to optimize the key particle size range and improve the rectification efficiency. A too high threshold may miss some hidden dangers, while a too low threshold may interfere too much and be counterproductive. A reasonable threshold should take into account both product quality and production efficiency, and obtain the best particle size composition through minimal adjustments. This requires manufacturers to constantly explore in practice to find the best balance.

[0109] In short, step S1423 and its sub-steps provide a set of methods for quantitative evaluation and identification of particle size deviation. By dividing the particle size interval, calculating the deviation value, and setting the threshold, the gap between the actual particle size distribution and the ideal requirement can be accurately judged, and the key deviation interval can be found. This provides a basis for targeted adjustment of process parameters, greatly improving the efficiency and operability of particle size optimization. Continuous monitoring and iterative optimization ensure that the crushing particle size can be stabilized at an ideal level, creating good conditions for subsequent processing. It can be said that these steps are an indispensable part of crushing optimization and are of great significance for improving the quality of insect powder products.

[0110] According to the identified coarse and fine intervals, the key to optimizing the particle size composition is to adjust the crushing process parameters in a targeted manner. The general principle of parameter adjustment is: for the coarse interval, increase the crushing equipment speed, extend the crushing time or reduce the screen size to further crush the particles in this interval; for the fine interval, reduce the crushing equipment speed, shorten the crushing time or increase the screen size to reduce the crushing in this interval; according to the adjusted process parameters, repeat steps S1421-S1423 to evaluate the particle size improvement effect until the requirements are met and the particle size optimization iteration is completed.

[0111] Step S1424 provides ideas and methods for the dynamic optimization of crushing particle size. By identifying the key deviation interval, the process parameters are adjusted in a targeted manner, and the process parameters are continuously corrected and improved during dynamic monitoring, so as to finally achieve stable and controllable particle size composition. This is of great significance for improving the processing quality of insect powder and reducing production costs.

[0112] Step S1430, controlling the crushing particle size;

[0113] Furthermore, if Figure 6 As shown, step S1430 includes:

[0114] Step S1431, establishing a mathematical model of crushing particle size and specific surface area;

[0115] Step S1432, establishing a mathematical model of crushing power consumption and particle size;

[0116] Step S1433, combining the mathematical model of crushing particle size and specific surface area and the mathematical model of crushing power consumption and particle size, establishing a crushing particle size optimization model; the crushing particle size optimization model includes a constraint target and constraint conditions, and the constraint conditions include a particle size constraint and a specific surface area constraint;

[0117] Step S1434, solving the optimal value of the crushing particle size according to the crushing particle size optimization model, and marking it as the optimal particle size;

[0118] Step S1435, online monitoring of the actual particle size during the crushing process, and dynamic adjustment of equipment parameters according to the deviation between the optimal particle size and the actual particle size.

[0119] Controlling the crushing particle size is a key step in optimizing the insect feed processing technology. The crushing particle size directly affects the efficiency and quality of subsequent unit operations such as defatting extraction and protein separation. On the one hand, the finer the particles, the larger the specific surface area, which is more conducive to the extraction of oil and protein; but on the other hand, the finer the crushing, the higher the energy consumption, and the more prominent the dust and agglomeration problems. Therefore, it is necessary to find a balance between extraction efficiency and processing cost to determine the optimal crushing particle size.

[0120] This requires the establishment of a mathematical model to quantitatively describe the relationship between crushing particle size and key quality attributes (such as specific surface area) and cost attributes (such as power consumption). By solving the model, it is possible to minimize crushing energy consumption while meeting process requirements, thereby achieving optimal control of crushing particle size. This can not only improve the nutritional value and digestibility of feed, but also significantly reduce production costs, with significant economic and social benefits.

[0121] The mathematical model of crushing particle size and specific surface area is:

[0122]

[0123] in:

[0124] S: Specific surface area, reflecting the reactivity and activity of the material.

[0125] d: Particle size, which affects the specific surface area and energy consumption of the material.

[0126] φ: shape coefficient, reflecting the degree of spherical deviation of the particles. When φ=1, the particle is spherical, and when φ>1, the surface area increases relatively.

[0127] k: Material characteristic constant, which usually needs to be fitted through experimental data.

[0128] This model helps us understand how to control the specific surface area when the particle size changes, and avoid the increase in energy consumption caused by over-fine grinding. This model shows that the smaller the particle size, the larger its specific surface area, which is more conducive to mass transfer and heat transfer. However, the actual shape and surface characteristics of the particles will affect the specific surface area, which needs to be corrected by the shape coefficient and proportional coefficient. In addition, excessive reduction of particle size will significantly increase the specific surface area, but at the same time it will also aggravate agglomeration and reduce the actual contact area. Therefore, the smaller the particle size, the better, there is an optimal range.

[0129] Specific surface area refers to the surface area of ​​particles per unit mass, and is a key parameter that affects the solid-liquid mass transfer and heat transfer process. Generally speaking, the finer the particles, the larger the specific surface area, and the more conducive to processes such as solvent extraction and enzymatic hydrolysis. Therefore, revealing the quantitative relationship between crushing particle size and specific surface area is crucial for optimizing the crushing process. This model can be used to calculate the minimum specific surface area required to achieve the target extraction effect, and then determine the corresponding upper limit of crushing particle size. This provides a quantitative basis for the selection of crushing equipment and the setting of process parameters, avoiding unnecessary energy consumption caused by blindly pursuing fineness. In addition, the model can also be used to analyze the influence of raw material characteristics on the crushing effect, such as the shape coefficient and material constant of different insect raw materials, so as to optimize the processing plan in a targeted manner.

[0130] The mathematical model of crushing power consumption and particle size is:

[0131] P = a1n(d) + b;

[0132] in:

[0133] P: Crushing power consumption, representing the energy consumption level.

[0134] a: sensitive parameter, measured through experiments, representing the sensitivity of particle size changes to crushing power consumption; if the a value is large, it means that the particle size has a significant impact on energy consumption, and the particle size needs to be controlled more carefully to avoid excessive energy consumption.

[0135] b: Power consumption baseline value, which indicates the power consumption baseline value when the particle size is 1 meter. It is the initial value of power consumption and is not affected by the particle size.

[0136] Crushing power consumption refers to the electric energy consumed by crushing a unit mass of material, and is an important indicator for evaluating crushing performance. The power consumption level directly affects the production cost, so it is necessary to minimize the power consumption while meeting the particle size requirements. This requires revealing the quantitative relationship between power consumption and particle size to provide a decision-making basis for process optimization. Through this model, the crushing power consumption under different target particle sizes can be calculated to evaluate the impact of the degree of refinement on the cost. The model can also be used to analyze the impact of equipment and process parameters on crushing efficiency, such as power, speed, feeding method and other factors, to provide a quantitative basis for equipment selection and parameter optimization. In addition, the power consumption model can also be combined with the specific surface area model to analyze the input-output benefits of the crushing process. By calculating the crushing power consumption required for a unit specific surface area increment, the economic feasibility of excessive pursuit of fineness can be evaluated. This helps to formulate the optimal combination of process parameters to maximize energy cost savings while ensuring product quality.

[0137] The crushing particle size optimization model is:

[0138] Constraint target: minP = aln(d) + b;

[0139] Constraints: Surface area constraints Granularity Constraintd min ≤d≤d max ; where S min is the minimum specific surface area required by the process, d min and d max The upper and lower limits of crushing particle size depend on the structural characteristics and process requirements of the crushing equipment.

[0140] The goal of this model is to minimize the crushing power consumption P. The constraints include two aspects: first, the specific surface area S must be greater than or equal to the minimum value S min , to ensure the effective extraction of oil and protein; secondly, the particle size d should be within a reasonable range [d min ,d max ], too fine will increase dust and energy consumption, too coarse will be not conducive to extraction and penetration. The advantages of the model are clear objectives, reasonable constraints, and easy solution. It comprehensively considers multiple factors such as crushing performance, nutrient extraction, and production costs, and embodies the idea of ​​multi-objective optimization. By solving the model, the optimal crushing particle size under the current process conditions can be obtained, providing a quantitative decision-making basis for production practice. For example, the sensitivity of the optimal particle size to the type of raw materials, equipment type, and process parameters can be analyzed to predict the optimization effect and guide production regulation.

[0141] After establishing the particle size optimization model, the next step is to solve the model and obtain the optimal crushing particle size. This requires selecting an appropriate mathematical programming method to convert the model into a calculable form, and then using a computer program to solve it. The solution result is the particle size value with the minimum crushing power consumption under the current process conditions, which is recorded as the optimal particle size d * .

[0142] For this model, since the objective function and constraints are nonlinear functions of the particle size d, it belongs to a nonlinear programming problem. Commonly used solution methods include gradient descent method, Newton method, quasi-Newton method, etc. The basic idea of ​​these methods is to start from an initial point, move in the direction where the objective function decreases fastest, and continuously approach the optimal solution until the convergence condition is met.

[0143] After solving the theoretical optimal particle size, it is necessary to monitor the crushing process in real time during production, dynamically adjust equipment parameters according to the deviation between the actual particle size and the optimal particle size, and achieve closed-loop optimization control. This requires the establishment of a complete online monitoring system to continuously collect and analyze key process parameters such as crushing power and discharge particle size in real time, providing timely and accurate data support for process control.

[0144] Online monitoring of crushing power can be achieved by installing electrical parameter sensors, such as current transformers, voltage transformers, etc. By measuring parameters such as the motor's current, voltage, and power factor, combined with the equipment's efficiency curve, the crushing power can be calculated in real time. When the power exceeds the preset threshold, the system can alarm or automatically reduce the feed speed to avoid equipment overload.

[0145] Online monitoring of the particle size of the discharge material is relatively complex. Currently, there are two main methods: image method and vibration screening method. The image method is to install a high-speed camera at the discharge port to take particle images, and then use image processing algorithms to analyze the size distribution of the particles. The advantages of this method are intuitive and accurate, and can reflect the particle size changes in real time; the disadvantages are complex algorithms, high equipment requirements, and high costs.

[0146] The vibration screening method is to install a small vibration screen at the discharge port to classify the particles online, and then use a photoelectric sensor to measure the mass fraction of each level of products and convert it into particle size distribution. The advantages of this method are simple equipment, low cost, and easy industrialization; the disadvantages are low measurement accuracy and a certain lag in reflecting particle size changes.

[0147] Regardless of the method used, necessary calibration and verification are required to ensure the reliability of the measurement data. After obtaining the power and particle size data, they can be compared with the optimal values, the causes of deviations can be analyzed, and corresponding control strategies can be formulated. The focus of control is on process parameters such as the speed, feed speed, and screen size of the crushing equipment. Dynamic control of particle size can be achieved by adjusting these parameters.

[0148] Taking speed control as an example, the following control strategy can be designed: when the actual particle size is larger than the optimal particle size, it means that the crushing is insufficient and the speed needs to be increased; otherwise, the speed needs to be reduced. The speed adjustment range can be determined according to the size of the particle size deviation. The larger the deviation, the larger the speed adjustment range. In order to avoid instantaneous impact, a smooth speed adjustment algorithm can be used, such as PID control, fuzzy control, etc.

[0149] In short, online monitoring and dynamic control are the key links in applying optimization models to production practice. It closely combines theoretical calculations with actual production, and through information and automation, it realizes real-time optimization control of the crushing process to ensure that the particle size is stable near the optimal value. This can not only improve feed quality and reduce production costs, but also reduce manual intervention and improve the level of automation. It can be foreseen that under the background of industrial Internet and intelligent manufacturing, this method will be widely used and become an important technical means to improve the level of insect feed processing.

[0150] Step S2000, uniformly dispersing the nano-magnetic material in an organic solvent to prepare a magnetically responsive solvent, and optimizing the composition of the magnetically responsive solvent; using the magnetically responsive solvent, using a variable frequency magnetic field to extract oil from the crushed insect raw material; after the oil extraction is completed, stopping the variable frequency magnetic field, using a static magnetic field to separate the oil from the magnetically responsive solvent, and obtaining the insect raw material after the oil extraction;

[0151] Furthermore, step S2000 includes:

[0152] Step S2100, uniformly dispersing the nanomagnetic material in an organic solvent to prepare a magnetically responsive solvent, and optimizing the composition of the magnetically responsive solvent.

[0153] Specifically, the preparation of magnetically responsive solvents requires comprehensive consideration of factors such as the affinity of magnetic materials to oils and fats, chemical stability, and magnetic response characteristics. 3 O 4 and γ-Fe 2 O 3 It is a commonly used nanomagnetic material with a particle size of usually 10-30nm, a large specific surface area, and is easy to functionalize. Its affinity with oils and fats can be enhanced by surface modification. For example, silane coupling agents can be used to modify Fe 3 O 4 Hydrophobic treatment is carried out to improve its dispersibility in non-polar solvents and affinity with non-polar oils. The choice of solvent should take into account its solubility, volatility and safety with the oil to be extracted. Hexane and petroleum ether are commonly used non-polar solvents with good solubility, low saturated vapor pressure, easy recovery and low toxicity. Electrostatic spraying technology can achieve rapid and uniform dispersion of nanomagnetic materials in solvents. During the electrostatic spraying process, the solvent is atomized under the action of high-voltage electrostatic force to form charged tiny droplets. The droplets move away from each other under the action of electrostatic repulsion, which inhibits the agglomeration of nanoparticles and improves the uniformity and stability of the suspension.

[0154] Furthermore, if Figure 7 As shown, the step S2100 includes:

[0155] Step S2110, determining the solubility parameter δ of the oil to be extracted from the crushed insect raw material o ;

[0156] The oil is the oil to be extracted from the crushed insect raw material, and the solubility parameter δ o It reflects the cohesive energy density of insect raw materials and is an important indicator for characterizing compatibility. According to the Hildebrand equation, the solubility parameter δ is determined by the cohesive energy and molar volume of the oil. o The cohesive energy and molar volume of oils and fats are obtained by consulting literature or experimental determination.

[0157] Step S2120, calculating the compatibility parameter χ between the oil and the magnetically responsive solvent. When χ is minimum, it corresponds to the optimal magnetically responsive solvent composition.

[0158] Further, step S2120 includes:

[0159] Step S2121, select k' kinds of magnetically responsive solvent components, and obtain the solubility parameters δ of the k' kinds of magnetically responsive solvent components respectively. si , δ si represents the solubility parameter of the i-th solvent component, 1≤i≤k';

[0160] Step S2122, determining the extraction temperature T, and measuring the viscosity η of the k'-element magnetic response solvents of different compositions at the extraction temperature T m ;

[0161] Step S2123, according to the solubility parameter δ of the magnetically responsive solvent component si 、Solubility parameter δ of oil o , extraction temperature T and viscosity η of the magnetically responsive solvent m , calculate the compatibility parameter χ of oil and magnetic responsive solvent.

[0162] The calculation formula of the compatibility parameter χ is:

[0163]

[0164] in:

[0165] k': the number of magnetically responsive solvent components.

[0166] w i : The mass fraction of the i-th solvent component.

[0167] δ si : Solubility parameter of the ith solvent component.

[0168] δ o : Solubility parameters of fats and oils.

[0169] T: extraction temperature, in K.

[0170] a': temperature empirical constant, dimensionless.

[0171] η m : Viscosity of the magnetically responsive solvent, in Pa·s.

[0172] This formula comprehensively considers the influence of factors such as solvent composition, oil properties, temperature and viscosity on compatibility. si It can be obtained through theoretical calculation of Hansen solubility parameters or by consulting literature. iIt needs to be determined according to the actual formula, and the temperature T is determined by the process conditions. The constant a' needs to be obtained by regression fitting experimental data, and the viscosity η m It is necessary to measure the solvent viscosity at different temperatures and then fit it using the Arrhenius equation.

[0173] The advantage of this formula is that it quantitatively describes the similarity between oil and solvent through the solubility parameter, w i It reflects the synergistic effect of multi-component solvents. a ′ corrects the effect of temperature on compatibility, and the viscosity factor lnη m The effect of viscosity on mass transfer rate is taken into account. The smaller the χ value, the better the compatibility of oil and solvent, and the easier the extraction process is.

[0174] Therefore, when other conditions remain unchanged, χ presents a minimum value as the solvent composition changes. The solvent ratio corresponding to this minimum value is the optimal magnetic response solvent composition, which is the magnetic response solvent with the greatest affinity for oils and fats.

[0175] Design k'-element magnetic response solvent ratio experiment, in different ratios (i.e. w i The compatibility parameter χ is calculated under w i is the independent variable, χ is the dependent variable, and the relationship between χ and w is constructed. i response surface model; under the constraints of viscosity and selectivity, such as requiring χ to be less than a certain critical value χ c , in order to effectively extract; η m To be within a certain range [η 1 ,η 2 ], which is convenient for operation; solve the w when χ is the smallest i , that is, the optimal magnetic responsive solvent composition is obtained.

[0176] This method transforms the screening of magnetically responsive solvents into a multi-objective optimization problem. The objective function is to minimize χ, and the constraints are viscosity and selectivity requirements. By constructing a response surface model of χ, the optimal ratio can be determined quickly, providing a reference for subsequent scale-up experiments. This provides a scientific and efficient decision-making tool for industrial applications.

[0177] Step S2200, extracting oil from the crushed insect raw material by using a magnetically responsive solvent and a variable frequency magnetic field;

[0178] Furthermore, if Figure 8 As shown, step S2200 includes:

[0179] Step S2210, mixing the crushed insect raw material and the magnetic responsive solvent in a second ratio to obtain a mixture;

[0180] Step S2220, placing the mixture in a variable frequency magnetic field, and inducing the magnetic responsive solvent to generate magneto-induced heating and vibration effects by adjusting the frequency and intensity of the magnetic field, thereby destroying the insect cell walls and releasing oil;

[0181] In the crushed insect raw materials, the oil mainly exists in the form of fat droplets in fat cells and is wrapped by cell walls. The key to improving the oil extraction rate is to destroy the cell walls so that the fat droplets are in full contact with the solvent. In the variable frequency magnetic field, the nanomagnetic material in the magnetic response solvent constantly changes with the direction of the magnetic field, generating magneto-heating and vibration effects. Magneto-heating increases the local temperature and reduces the viscosity of the oil. The vibration effect accelerates the movement of the fat droplets, collides with the cell wall, and ruptures the cell wall under mechanical action. The oil after the wall is broken dissolves in the solvent and enters the magnetic response solvent to achieve the extraction of the oil. The second ratio is set by a technician in this field.

[0182] Step S2230, optimizing the oil extraction process parameters to obtain the best oil extraction rate; the oil extraction process parameters include the mass ratio of the crushed insect raw material to the magnetic response solvent, the magnetic field frequency, the magnetic field intensity and the extraction time.

[0183] Furthermore, if Fig. 9 As shown, step S2230 includes:

[0184] Step S2231, determining the numerical range of oil extraction process parameters;

[0185] Step S2232, adopting the orthogonal test design method, within the numerical range of the oil extraction process parameters, selecting 3-5 levels of each factor, and designing an orthogonal test; the factors refer to the oil extraction process parameters;

[0186] Step S2233, according to the orthogonal test results, calculate the average value K of the oil extraction rate of each factor level j,l ; K j,l represents the average oil extraction rate of factor j at level l;

[0187] Step S2234: for each factor, compare the average values ​​K of its levels. j,l , select K j,l The level with the largest value is taken as the optimal level of the factor.

[0188] In the process of magnetic field-assisted extraction, if the magnetic field frequency is too low, the wall breaking and mass transfer rates will be limited; if the frequency is too high, the energy consumption will increase and the material will be easily lost. If the magnetic field intensity is too low, the magnetostrictive effect will not be obvious; if the intensity is too high, the nanomagnetic material will easily agglomerate and reduce the dispersibility. If the extraction time is short, the oil extraction will be incomplete; if the time is long, the energy consumption will be high and the solvent will evaporate seriously. Therefore, it is necessary to optimize various process parameters through orthogonal experiments to improve the oil extraction rate while taking into account the extraction efficiency and cost.

[0189] The oil extraction process parameters include the mass ratio of insect raw materials to magnetic responsive solvent, magnetic field frequency, magnetic field intensity and extraction time. By consulting literature and preliminary small-scale experiments, the variation range of each process parameter was preliminarily determined:

[0190] The mass ratio of insect raw materials to magnetic responsive solvent: If the amount of magnetic responsive solvent is too low, it is not enough to fully infiltrate and dissolve the oil, resulting in incomplete extraction; if the amount is too high, it will increase the cost, dilute the oil concentration, and be unfavorable for subsequent separation. The mass ratio is generally controlled between 1:2 and 1:10.

[0191] Magnetic field frequency: If the frequency is too low, the movement speed of the magnetic response solvent will be slow, the update will not be timely, and the mass transfer resistance will be large; if the frequency is too high, it will increase energy consumption, cause overheating or even denaturation of the solvent. The frequency should be selected between 100Hz and 10kHz.

[0192] Magnetic field strength: If the strength is too low, the movement of the magnetic responsive solvent is small, the stirring effect is poor, and it is not conducive to the dissolution of oil; if the strength is too high, it will cause the magnetic responsive solvent to move violently, aggravate the evaporation of the solvent, and cause safety hazards. The magnetic field strength should be controlled between 10mT and 500mT.

[0193] Extraction time: If the time is too short, the oil will not be fully dissolved and the extraction rate will be low; if the time is too long, the cost will increase and the oil will hydrolyze and become rancid. The extraction time is generally no more than 2 hours.

[0194] The orthogonal experimental design method was adopted, and 3-5 levels of each factor were selected within the appropriate range of process parameters to design an orthogonal experimental scheme. Taking the four factors of insect raw material and magnetic response solvent mass ratio (A), magnetic field frequency (B), magnetic field intensity (C), and extraction time (D) as examples, 4 levels were selected for each factor to design the orthogonal experimental scheme of L16 (45).

[0195] Orthogonal experimental design is an efficient experimental design method that infers the overall situation through partial experiments. It uses orthogonal tables to arrange experiments, selects experimental points with the characteristics of "even dispersion, neat and comparable", and obtains the experimental results of each factor level combination with the least number of experiments.

[0196] In this case, the L16 (45) orthogonal table is selected, which means that 16 tests can obtain comprehensive test results of 4 factors and 4 levels of each factor. This not only greatly reduces the experimental workload, but also avoids mutual interference between factors through the reasonable arrangement of the orthogonal table, and accurately evaluates the influence of each factor on the oil extraction rate.

[0197] The experimental scheme with 4 factors and 4 levels per factor is as follows:

[0198] A: Mass ratio of insect raw materials to solvent: A1-1:2, A2-1:4, A3-1:6, A4-1:8;

[0199] B: Magnetic field frequency (Hz): B1-100, B2-1000, B3-5000, B4-10000;

[0200] C: Magnetic field strength (mT): C1-10, C2-100, C3-300, C4-500;

[0201] D: Extraction time (min): D1-30, D2-60, D3-90, D4-120.

[0202] Substitute the factor levels into the orthogonal table to obtain 16 experimental schemes. Carry out the experiments in sequence, measure the oil extraction rate of each scheme, and record the data.

[0203] Average K j,l reflects the overall effect of factor j on oil extraction rate at level l, K j,l The larger the value, the higher the extraction rate. For each factor, compare the average K of each level j,l , select K j,l The level with the largest value is taken as the optimal level of the factor.

[0204] By adopting this idea of ​​"determining the numerical range - orthogonal experimental design - result analysis and optimization", the optimal process conditions for oil extraction can be quickly locked in. Compared with traditional single-factor experiments, orthogonal experimental design can greatly reduce the number of experiments, reduce time and cost; compared with full-factor experiments, it can avoid interference between factors through reasonable arrangements and accurately evaluate the weight of factor influence. Therefore, this method of optimizing the oil extraction process is not only efficient and feasible, but also has reliable results. Production companies can learn from this idea, combine their own raw material characteristics and equipment conditions, carry out process optimization of magnetic response oil extraction, improve oil extraction rate, and reduce production costs.

[0205] Step S2300, after the oil extraction is completed, the variable frequency magnetic field is stopped, and a static magnetic field is used to separate the oil from the magnetic response solvent to obtain the insect raw material after the oil extraction.

[0206] Specifically, the mixture after oil extraction contains free oil, magnetically responsive solvent, cell residue, etc. When the variable frequency magnetic field is stopped, the nanomagnetic material in the mixture stops moving, and the oil, water and magnetic three phases begin to separate. A permanent magnet or electromagnet array with a surface magnetic field strength of 0.3-1.2T is used to generate a stable static magnetic field above or below the mixture. Under the combined action of gravity and magnetic field force, the oil phase with the lowest density floats up, the cell residue sinks, and the magnetically responsive solvent gathers at the strongest magnetic field. By controlling the separation time, rapid separation and purification of oil can be achieved.

[0207] Step S3000, putting the insect raw material after oil extraction into an alkaline solution, and using alkaline dissolution-isoelectric precipitation method to separate and extract high-quality insect protein to obtain insect protein powder;

[0208] The basic principle of the alkaline dissolution-isoelectric precipitation method is that under alkaline conditions, proteins will be ionized, taking on a negative charge and dissolving; while near its isoelectric point pH, the protein charge is neutralized, the solubility decreases and precipitates.

[0209] First, add the defatted insect powder to a dilute alkaline solution (such as sodium hydroxide solution) with a pH of 10-11 and stir to fully dissolve it. The concentration of the alkaline solution is generally controlled at 0.05-0.1 mol / L. During the dissolution process, the alkaline solution can destroy the insect cell structure and release the protein from the cell. At the same time, under alkaline conditions, the protein carries a large amount of negative charge, the electrostatic repulsion increases, the protein molecules stretch, and the solubility increases.

[0210] After complete dissolution, adjust the solution pH to the isoelectric point of the insect protein (e.g. the isoelectric point of black soldier fly larvae protein is between pH 4.0-5.0). The pH value can be lowered by adding acidic substances such as dilute hydrochloric acid or citric acid. Near the isoelectric point, the protein carries the least charge, the intermolecular electrostatic repulsion is reduced, and the hydrophobic interaction is enhanced, resulting in protein aggregation and precipitation. The precipitation process can be left at room temperature for 1-2 hours, or carried out under refrigerated conditions at 4°C to reduce protein denaturation.

[0211] After precipitation is completed, the protein precipitate is separated from the supernatant by centrifugation or filtration. After washing and drying, the precipitate is preliminarily purified insect protein powder. To further improve the purity of the protein, the dissolution-precipitation process can be repeated 1-2 times, and each precipitation can remove a portion of the impurities such as foreign proteins and non-protein impurities. After multiple purifications, the protein purity can reach more than 80%.

[0212] The alkaline dissolution-isoelectric precipitation method is simple to operate, low in cost, and suitable for large-scale industrial production. This method can effectively remove non-protein impurities such as fat and pigment to obtain high-quality insect protein with good electrophoretic uniformity and high nutritional value. Compared with the acid dissolution-isoelectric precipitation method, alkaline conditions are more conducive to protein dissolution and higher protein yield. However, the concentration of the alkaline solution and the protein dissolution time should not be too high, otherwise it may cause protein denaturation and affect its functional properties. Therefore, the dissolution and precipitation conditions should be strictly controlled, and should be completed as low as possible and in a short time to ensure the activity and nutritional value of the protein.

[0213] Take the extraction of fly maggot protein as an example. Take 1kg of defatted fly maggot powder, add 20L of NaOH solution with a concentration of 0.05mol / L, stir evenly, and dissolve at room temperature for 2 hours. Then add 1mol / L hydrochloric acid to adjust the pH to about 4.5, and let it stand for 1 hour to precipitate the protein isoelectric point. Filter and separate the precipitate, and wash it with deionized water 2-3 times. Place the precipitate in a vacuum freeze dryer and dry it for 24 hours. The fly maggot protein powder obtained after drying has a protein content of more than 85%, and its essential amino acid composition is equivalent to that of egg protein, and it has a high digestibility and good nutritional value. It is an ideal source of feed protein. Compared with other animal proteins, the advantages of insect protein are green, safe, and efficient, which conforms to the concept of sustainable development, is conducive to reducing environmental pressure, and ensures food safety. Therefore, high-quality insect protein prepared by alkaline dissolution-isoelectric precipitation method has broad application prospects in animal nutrition fortification.

[0214] Step S4000, mixing insect protein powder, basic raw materials, nutritional enhancers and water in a first ratio, and granulating to obtain wet feed pellets; the nutritional enhancers include minerals, vitamins and amino acids; the basic raw materials include corn and soybean meal;

[0215] According to the nutritional needs of animals, nutritional enhancers such as minerals, vitamins, and amino acids are added. Animals at different growth stages and physiological states have very different nutritional needs. Therefore, it is necessary to rationally design feed formulas based on the species, age, weight, and other conditions of the target animals to achieve comprehensive and balanced nutrition and improve the growth performance and health level of the animals. The first ratio is set by a person skilled in the art.

[0216] Mineral enhancers that can be added include calcium, phosphorus, iron, zinc, selenium, etc. Calcium and phosphorus are mainly derived from stone powder and bone powder, iron and zinc are mostly added in the form of inorganic salts, and selenium is often added in the form of sodium selenite or selenium yeast. The amount of addition should refer to the daily mineral requirement of the animal, and an appropriate amount is sufficient, but avoid excessive amounts. Vitamin enhancers mainly include various B vitamins and fat-soluble vitamins, such as VA, VD 3 , VE, etc. These vitamins are present in very low levels in the body, but are essential for metabolism, immune regulation, etc. Vitamins are mostly chemically synthesized or fermented, and are expensive, so they must be accurately measured when added.

[0217] In addition to minerals and vitamins, crystalline amino acids are also commonly used nutritional enhancers. Due to the insufficient content of certain essential amino acids (such as lysine and methionine) in plant proteins, additional supplementation is required. Adding crystalline amino acids can increase the biological value of feed protein and reduce nitrogen emissions. In addition, some special nutritional additives such as probiotics, enzyme preparations, adsorbents, etc. can also be reasonably added according to actual needs to improve intestinal health and increase feed utilization.

[0218] The basic raw materials include corn and soybean meal. Corn is a high-quality energy source rich in starch, which can provide the energy required for feed, so that animals can maintain good growth and production performance. Soybean meal is a raw material with a high protein content in plants, which can effectively supplement the deficiency of insect protein, provide necessary amino acids, and support the growth and health of animals. Mixing high-protein insect protein with corn and soybean meal can achieve complementary nutrients and provide a more balanced nutritional formula to meet the needs of animals at different growth stages. The addition of corn and soybean meal can improve the physical properties of the feed, such as the stability and digestibility of the particles, and improve the acceptance and utilization efficiency of the feed. Corn and soybean meal are usually relatively low-cost raw materials, which can reduce the overall production cost of the feed while still providing good nutritional support. The addition of these two basic raw materials can improve the digestibility of the feed and help animals better absorb the nutrients in it, thereby improving production efficiency.

[0219] Mix the insect protein powder with the basic raw materials and nutritional enhancers in the first ratio, and use a high-speed mixer to ensure uniformity. Mixing is a key link in feed processing, and its purpose is to make various raw materials and additives fully uniform and avoid "hot spots" and "dead corners". Using a high-speed mixer such as a horizontal ribbon mixer can achieve full mixing of materials in a relatively short time. By adjusting parameters such as mixing time and speed, a mixture with a uniformity of more than 95% can be obtained.

[0220] In addition, the moisture content of the materials should be controlled during the mixing process. Too high moisture content will cause agglomeration and increase mixing resistance; too low moisture content will produce dust and affect the mixing effect. Generally, the moisture content of the materials should be controlled at 12-15%. If necessary, the moisture content can be adjusted by spraying water or drying.

[0221] According to the needs, the extrusion granulation process is used to prepare pelletized feed to improve the convenience of animal feeding. Extrusion granulation refers to the process of extruding materials into pellets under high temperature, high pressure and high shear conditions. Pellet feed has the characteristics of high density, high hardness and high forming rate. It is not only convenient for transportation and storage, but also can effectively reduce dust and increase animal feed intake.

[0222] After conditioning, the material is sent to the pre-pressing area, softened by steam, and initially formed; then it enters the main pressing area, extruded into strips under high pressure (1-3MPa); and then cut by a cutter to obtain granules. The extrusion temperature is generally controlled at 120-130℃, and the residence time is 30 seconds to 2 minutes. The moisture content should be controlled at 15-18%. If it is higher than this range, it is difficult to form the granules, and if it is lower than this range, the granules are not hard enough.

[0223] Take the 5% insect protein powder addition level as an example. Take 4750kg corn, 200kg soybean meal, 50kg insect protein powder, 50kg premix, and nutritional enhancer, and mix them evenly. Then add water to condition the moisture content to 16%, and extrude it with a 2.5mm diameter die under 120℃ steam conditions to make pellet feed. The particle diameter is uniform (the coefficient of variation is less than 10%), the hardness is greater than 80N, and the forming rate is higher than 95%. Compared with ordinary feed, the pellet feed with insect protein added has a higher protein level and a more comprehensive composition of essential amino acids, which can better meet the growth needs of animals. Moreover, the digestibility and absorption rate of insect protein is higher than that of plant protein, which can improve feed conversion efficiency and reduce the nitrogen and phosphorus content in excrement. Therefore, it is also more advantageous in terms of environmental protection.

[0224] In short, insect protein nutritional fortification and pellet processing are important means for green, safe and efficient animal feed manufacturing. By rationally adding insect protein powder and optimizing the feed formula, and then through high-speed mixing, extrusion granulation and other process treatments, we can finally produce animal pellet feed products with excellent quality, comprehensive nutrition, safety and environmental protection. This can not only give full play to the nutritional function of insect protein and meet the needs of rapid growth of animals, but also improve feed production efficiency and help healthy breeding. It can be foreseen that with the further development of insect breeding and processing technology, insect protein will play an increasingly important role in animal nutrition fortification and inject new vitality into the modern feed industry.

[0225] Step S5000, sterilize and dry the wet feed particles to obtain the final high-protein insect animal feed.

[0226] Use high-temperature steam or microwave sterilization to ensure the microbial safety of the product. The purpose of sterilization is to remove harmful microorganisms in the product to prevent them from multiplying during storage, causing deterioration or causing harm to animals. There are many sterilization methods, such as heat treatment, radiation, chemical sterilization, etc. Among them, high-temperature steam sterilization is the most commonly used method in feed processing.

[0227] Spread the pellet feed evenly on the conveyor belt, and introduce saturated steam at 105-130℃ to quickly raise the product temperature to 90-95℃ and maintain it for 10-15 minutes. Under this condition, common pathogens such as Escherichia coli and Salmonella can be completely killed, and spores and molds can also be effectively controlled. At the same time, high temperature can further gelatinize the starch in the pellets and denature the protein, which is beneficial to improve the digestibility and absorption rate of feed.

[0228] Microwave sterilization is a method of killing microorganisms at 62-75℃ by using the thermal and non-thermal effects of microwaves. Compared with steam sterilization, microwave heat conduction is fast and the temperature rises evenly, which can greatly shorten the sterilization time and reduce energy consumption. In addition, the microwave electric field force and oscillation effect can destroy the bacterial cell wall and enzyme system, making the sterilization effect more thorough. Microwave sterilization generally uses a frequency of 915MHz or 2450MHz, with a power density of 5-10W / g. A treatment of 1-5 minutes can reduce the number of E. coli to less than 10CFU / g.

[0229] Hot air drying or fluidized bed drying can control the final moisture content of the product. Drying is the last step in feed processing, and its purpose is to remove excess moisture from the product and stabilize it within the safe storage range, generally 11-14%. Only by controlling the moisture can the growth of microorganisms be effectively inhibited and the shelf life be extended.

[0230] Common drying equipment includes hot air dryers and fluidized bed dryers. Hot air drying is a process of evaporating moisture by direct contact between hot air and materials. The hot air temperature is generally controlled at 70-90°C and the wind speed is 1-2m / s. The particles tumble during the drying process and are evenly heated, and 2-5 percentage points of moisture can be removed at one time. Fluidized bed drying uses hot air to suspend particles and uses the disordered movement of particles to achieve mass transfer and heat transfer. Since the hot air is in full contact with the particles, the heat transfer coefficient is high and the drying rate is 2-3 times that of hot air drying. In addition, the friction between particles in the suspended state is small, which is conducive to maintaining the integrity of the particles. The operating temperature of the fluidized bed is 100-120°C and the residence time is 5-10 minutes.

[0231] During the drying process, it is necessary to prevent the particles from cracking and deforming due to excessive water loss. In particular, when the surface drying is not synchronized with the internal water loss, cracks are likely to occur. Therefore, the drying rate should be reasonably controlled. In the initial stage, a higher temperature and wind speed can be used, and then the temperature can be gradually lowered after the surface water is removed to extend the drying time. Alternatively, a two-stage drying process can be used, first using a higher temperature to quickly remove the surface water, and then using a lower temperature to slowly dry to the required level.

[0232] In short, the microbial safety and moisture content of feed are directly related to product quality and shelf life. Only by taking scientific and effective sterilization and drying measures and ensuring safety can we ensure that feed products are truly "safe, nutritious, and healthy" and benefit thousands of households. This requires not only advanced equipment and technology, but also refined and standardized production management.

[0233] Example 2

[0234] Based on Example 1, this example provides a high-protein insect animal feed, which is prepared by a high-protein insect animal feed preparation method.

[0235] The high-protein insect animal feed comprises insect raw materials, basic raw materials and nutritional enhancers;

[0236] The insect raw materials include black soldier fly larvae, silkworm pupae and fly maggots; the basic raw materials include corn and soybean meal; and the nutritional enhancers include minerals, vitamins and amino acids.

[0237] High-protein insect animal feed uses insect raw materials such as black soldier fly larvae, silkworm pupae and fly maggots with high nutritional value. These insects have high protein content and balanced essential amino acid composition, which can meet the nutritional needs of animals. In addition, basic raw materials such as corn and soybean meal, as well as nutritional enhancers such as minerals, vitamins, and amino acids are added to further enhance the nutritional value of the feed, which is conducive to promoting the healthy growth of animals. Insect raw materials such as black soldier fly larvae, silkworm pupae, and fly maggots can effectively transform organic waste and use agricultural and food processing by-products for growth and reproduction. The raw materials come from a wide range of sources. These insects have a short life cycle, strong reproductive capacity, and relatively low feeding costs. Therefore, insect feed produced with them as raw materials can significantly reduce production costs while ensuring nutrition. Using black soldier fly larvae, silkworm pupae, fly maggots and other insects as raw materials can absorb a large amount of organic waste, reduce waste treatment pressure, and alleviate environmental burdens. Insects grow rapidly while transforming waste, converting waste into high-value animal protein, and realizing efficient use of resources. Therefore, the feed production model using insects as raw materials is in line with the concept of sustainable development and is conducive to promoting the development of agricultural circular economy. By optimizing the particle size distribution of insect raw materials and controlling the crushing particle size, the uniformity and stability of feed particles are improved. Reasonable particle size is conducive to animal consumption and digestion and absorption by the body. In addition, the use of processes such as magnetic responsive solvent extraction and isoelectric precipitation can maximize the biological activity of insect protein and prepare feed products with excellent quality and less nutritional loss.

[0238] In summary, the high-protein insect animal feed prepared according to the high-protein insect animal feed preparation method in this embodiment fully utilizes the nutritional value of insect raw materials, has low production cost, high resource utilization rate, and excellent feed quality, which has positive significance for promoting healthy animal breeding and promoting the development of circular agriculture. These beneficial effects are derived from the scientific selection of raw materials, the rationality of processing technology, and the optimized design of the formula.

[0239] The above description is only a specific implementation mode of the present invention, but the protection scope of the present invention is not limited thereto. Those skilled in the art should understand that any changes or substitutions that can be easily thought of by those skilled in the art within the technical scope disclosed by the present invention are within the protection scope and disclosure scope of the present invention.

Claims

1. A method for preparing high-protein insect animal feed, characterized in that: The method comprises: Step S1000, selecting a high-protein insect raw material, washing and removing impurities from the selected insect raw material, drying the washed and removed insect raw material, preliminarily crushing the dried insect raw material to obtain a preliminarily crushed insect raw material, optimizing the particle size distribution of the preliminarily crushed insect raw material, and controlling the crushing particle size to obtain a crushed insect raw material; Step S2000, uniformly dispersing the nano-magnetic material in an organic solvent to prepare a magnetically responsive solvent, and optimizing the composition of the magnetically responsive solvent; using the magnetically responsive solvent, using a variable frequency magnetic field to extract oil from the crushed insect raw material; after the oil extraction is completed, stopping the variable frequency magnetic field, using a static magnetic field to separate the oil from the magnetically responsive solvent, and obtaining the insect raw material after the oil extraction; Step S3000, putting the insect raw material after oil extraction into an alkaline solution, and using alkaline dissolution-isoelectric precipitation method to separate and extract high-quality insect protein to obtain insect protein powder; Step S4000, mixing insect protein powder, basic raw materials, nutritional enhancers and water in a first ratio, and granulating to obtain wet feed pellets; the nutritional enhancers include minerals, vitamins and amino acids; the basic raw materials include corn and soybean meal; Step S5000, sterilize and dry the wet feed particles to obtain the final high-protein insect animal feed.

2. The method for preparing high-protein insect animal feed according to claim 1, characterized in that: The cleaning and impurity removal of the selected insect raw materials includes: using a screening method to remove coarse impurities on the insect body surface; using an air selection method to remove light impurities; using a water washing method to remove residual fine impurities and clean the dirt on the body surface.

3. The method for preparing high-protein insect animal feed according to claim 1, characterized in that: The optimization of the particle size distribution of the insect raw material after preliminary crushing includes: Through screening tests, the particle size distribution of the insect raw materials after preliminary crushing is analyzed, and the actual particle size distribution curve is drawn; the ideal particle size distribution curve is determined; Comparing the difference between the actual particle size distribution curve and the ideal particle size distribution curve, identifying the particle size deviation interval; the particle size deviation interval includes a coarse interval and a fine interval; Adjust the process parameters for the coarse and fine intervals, repeat the screening test based on the adjusted process parameters, and compare the difference between the actual particle size distribution curve and the ideal particle size distribution curve until the ideal particle size distribution is met.

4. The method for preparing high-protein insect animal feed according to claim 3, characterized in that: The sieving test, analyzing the particle size distribution of the insect raw material after preliminary crushing, and drawing the actual particle size distribution curve comprises: Select a series of standard sieves with different mesh sizes to grade and screen the insect raw materials after preliminary crushing; Weigh the mass of the retained material on each sieve and calculate the mass fraction of each particle size as the retention rate; The actual particle size distribution curve is drawn with the sieve size as the abscissa and the interception rate as the ordinate. Each point on the actual particle size distribution curve represents the mass percentage of particles smaller than the corresponding sieve size.

5. The method for preparing high-protein insect animal feed according to claim 3, characterized in that: The identification particle size deviation interval includes: Determine the particle size range of the insect raw material after initial crushing; The particle size range of the insect raw material after preliminary crushing is divided into n1 particle size intervals; Calculate the average deviation Δf between the actual particle size distribution curve and the ideal particle size distribution curve in each particle size range; A deviation threshold ε is set. If Δf<-ε, the interval is judged to be thin as a whole and is a thin interval; if Δf>+ε, the interval is judged to be thick as a whole and is a thick interval; if |Δf|≤ε, it is regarded as a normal interval, which conforms to the ideal distribution; ε is a positive number.

6. The method for preparing high-protein insect animal feed according to claim 1, characterized in that: The controlling of crushing particle size comprises: Establish a mathematical model of crushing particle size and specific surface area; Establish a mathematical model of crushing power consumption and particle size; A crushing particle size optimization model is established by combining a mathematical model of crushing particle size and specific surface area and a mathematical model of crushing power consumption and particle size; the crushing particle size optimization model includes a constraint target and constraint conditions, and the constraint conditions include a particle size constraint and a specific surface area constraint; The optimal value of the crushing particle size is solved according to the crushing particle size optimization model and marked as the optimal particle size; Monitor the actual particle size of the crushing process online and dynamically adjust equipment parameters based on the deviation between the optimal particle size and the actual particle size.

7. The method for preparing high-protein insect animal feed according to claim 1, characterized in that: The optimization of the magnetic response solvent composition comprises: determining the solubility parameter δ of the oil to be extracted from the crushed insect raw material o ; Calculate the compatibility parameter χ between oil and magnetic responsive solvent. When χ is the smallest, it corresponds to the optimal magnetic responsive solvent composition; The calculation of the compatibility parameter x of the grease and the magnetically responsive solvent includes: Select k' kinds of magnetically responsive solvent components and obtain the solubility parameters δ of the k' kinds of magnetically responsive solvent components respectively. si , δ si represents the solubility parameter of the i-th solvent component, 1≤i≤k'; Determine the extraction temperature T, and measure the viscosity η of the k'-element magnetic response solvents with different compositions at the extraction temperature T m ; According to the solubility parameter δ of the magnetically responsive solvent component si 、Solubility parameter δ of oil o , extraction temperature T and viscosity η of the magnetically responsive solvent m , calculate the compatibility parameter χ of oil and magnetic responsive solvent.

8. The method for preparing high-protein insect animal feed according to claim 1, characterized in that: The method of extracting oil from the crushed insect raw material by using a variable frequency magnetic field comprises: mixing the crushed insect raw material and the magnetically responsive solvent in a second ratio to obtain a mixture; The mixture is placed in a variable frequency magnetic field to induce the magnetically responsive solvent to produce magneto-induced heating and vibration effects, thereby destroying the insect cell walls and releasing oil; Optimize the oil extraction process parameters to obtain the best oil extraction rate; the oil extraction process parameters include the mass ratio of the crushed insect raw material to the magnetic response solvent, the magnetic field frequency, the magnetic field intensity and the extraction time.

9. The method for preparing high-protein insect animal feed according to claim 8, characterized in that: The optimized oil extraction process parameters include: Determine the numerical range of oil extraction process parameters; Adopting the orthogonal test design method, within the numerical range of the oil extraction process parameters, 3-5 levels of each factor are selected to design an orthogonal test; the factors refer to the oil extraction process parameters; According to the orthogonal test results, calculate the average oil extraction rate K of each factor level j,l ; K j,l represents the average oil extraction rate of factor j at level l; For each factor, compare the mean K of its levels j,l , select K j,l The level with the largest value is taken as the optimal level of the factor.

10. A high-protein insect animal feed, characterized in that: The high-protein insect animal feed is prepared according to the high-protein insect animal feed preparation method according to any one of claims 1-9.

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