Extraction process of sea cucumber active oil

Abstract

The invention discloses an extraction process of sea cucumber active oil, particularly relates to the technical field of extraction, is used for solving the problems of low extraction efficiency of sea cucumber intestine egg oil, unreasonable fatty acid proportion, resource waste and time consumption of manual screening, and comprises the following steps: pre-selecting raw materials, freeze-drying the raw materials, crushing, performing subcritical extraction, refining and purifying, performing vacuum drying and deodorizing. Qualified sea cucumber intestine and egg raw materials are pre-selected based on a machine learning image analysis technology, single-factor response surface test production is carried out based on the oil yield and the sum of unsaturated fatty acid and saturated fatty acid, and subcritical extraction process parameters are improved; by combining automatic raw material screening of machine learning and an optimized subcritical extraction process, the oil yield of the sea cucumber intestine egg oil is increased to 21%-22%, and the proportion of fatty acid is improved.

Description

Technical Field

[0001] The invention relates to the technical field of extraction, and more specifically to an extraction process of sea cucumber active oil. Background Art

[0002] Sea cucumbers have the effects of improving memory, delaying gonadal aging, preventing arteriosclerosis and anti-tumor. However, sea cucumbers are difficult to swell and improper cooking leads to difficulty in absorption. Sea cucumber oil is rich in phospholipids, unsaturated fatty acids, etc., and has a good tonic effect. However, sea cucumber oil contains histamine, which can cause serious seafood allergies. Sea cucumbers after extracting sea cucumber oil are difficult to process again. Sea cucumber intestines and eggs are usually discarded or used as flower fertilizer when extracting sea cucumber oil, resulting in waste of raw materials. Studies have shown that sea cucumber intestines and eggs (viscera and gonads, also called sea cucumber flowers) are also rich in sea cucumber nutrients (such as unsaturated fatty acids, phospholipids, gangliosides, sea cucumber saponins and a variety of sea cucumber polypeptides, amino acids, etc.). The current extraction of lipid components from various animal and plant materials usually adopts the carbon dioxide supercritical extraction process. The Chinese invention patent "A method for extracting sea cucumber lecithin from sea cucumber intestines" with application number 2021112385467 introduces a method for extracting sea cucumber lecithin from sea cucumber intestines based on enzymatic hydrolysis technology. However, the invention does not use supercritical extraction technology to extract sea cucumber intestinal egg oil. When screening sea cucumber intestinal egg raw materials, manual screening is usually used, which is inefficient and has poor screening accuracy, which is not conducive to mass production of sea cucumber intestinal egg oil. When using the supercritical extraction process to extract sea cucumber intestinal egg oil, the production process parameters involved have not been improved based on the oil yield and nutrient content (the sum of unsaturated fatty acids and saturated fatty acids) of the generated sea cucumber intestinal egg oil. Summary of the invention

[0003] In order to overcome the above-mentioned defects of the prior art, the present invention provides a process for extracting sea cucumber active oil.

[0004] To achieve the above object, the present invention provides the following technical solutions:

[0005] A process for extracting sea cucumber active oil includes raw material preselection, raw material freeze drying, crushing, subcritical extraction, refining and purification, vacuum drying and deodorization, preselecting qualified sea cucumber intestine and egg raw materials based on machine learning image analysis technology, performing single factor response surface test production based on oil yield and the sum of unsaturated fatty acids and saturated fatty acids, and improving subcritical extraction process parameters, and the steps are as follows:

[0006] Step 1: Raw material pre-selection: collect images on the sea cucumber intestine and egg raw material conveyor belt, classify the images based on machine learning technology, and monitor the qualified rate of sea cucumber intestine and egg raw materials;

[0007] Step 2, freeze drying and crushing the raw materials: freeze the selected sea cucumber intestines and eggs in a freezer for 24 hours, then take them out and crush the freeze-dried raw materials in a crusher to a particle size of less than 20 to 30 meshes;

[0008] Step 3, subcritical extraction: open the feed valve of the extraction tank, load the freeze-dried raw material, close the feed valve, start the vacuum pump to exhaust the air in the tank, use the solvent pump to inject the subcritical solvent fluid into the tank, the weight ratio of the material to the solvent in the extraction tank is 1: (2-3), the solvent is one of ethane, butane, isobutane and dimethyl ether or a combination thereof, soak and stir the extraction at a speed of 60-1000r / min for 0.5-4 hours, the extraction temperature is 40-55°C, the extraction pressure is 0.3-0.6MPa, stand for 30 minutes, filter and separate the residue, obtain the separation liquid and the filter residue, centrifuge the separation liquid at a speed of 4000-9000RPM, the centrifuge liquid is used for the treatment of step 3, the centrifuge residue and the filter residue are combined, and the obtained centrifuge liquid and the filter residue are used for the treatment of step 4;

[0009] Step 4, decompression separation: use a solvent pump to extract the centrifugal liquid from the extraction tank and pump it into the evaporation tank, open the compressor outlet valve, start the compressor, connect the extraction tank with the compressor suction port, gasify the residual solvent in the filter residue in the extraction tank, and the solvent gas enters the compressor. After compression, condensation and liquefaction, it flows back to the solvent turnover tank for recycling. The obtained meal is discharged from the extraction tank, and the evaporation tank is connected with the compressor suction port, and the evaporation tank is indirectly heated to separate the solvent from the crude oil after evaporation. The separation treatment pressure is 0.2-0.3MPa, and the separation treatment temperature is 45-50°C. The solvent vapor is compressed by the compressor, condensed and liquefied, and then returns to the solvent turnover tank for recycling. The obtained oil is discharged from the evaporation tank to obtain sea cucumber crude oil;

[0010] Step 5, refining and purification: using phosphoric acid with a mass concentration of 85% to degummed the sea cucumber crude oil, then adding a sodium hydroxide solution with a Baume degree of 5 to 10°Bé, performing alkali refining and deacidification at a temperature of 80 to 90°C for 1 to 15 seconds, and then centrifuging at a centrifugal speed of 4000 to 9000RPM for 3 to 20 minutes to obtain alkali refined oil;

[0011] Step 6: Vacuum drying and deodorization: Dry and deodorize the alkali refined oil under vacuum conditions, and then freeze filter to obtain finished oil.

[0012] As a further solution of the present invention, a single factor response surface experiment was performed based on the sum of the mass percentages of unsaturated fatty acids and saturated fatty acids:

[0013] When other extraction conditions remain unchanged, the extraction stirring speeds are set to 60 r / min, 300 r / min, 600 r / min, and 1000 r / min, and subcritical extraction is performed on 5 pre-selected sea cucumber intestine and egg raw materials under each extraction stirring speed group, and the sum of the mass percentages of unsaturated fatty acids and saturated fatty acids under each extraction stirring speed group is collected;

[0014] With other extraction conditions unchanged, the extraction pressures were taken as 0.3MPa, 0.4MPa, 0.5MPa and 0.6MPa respectively. Subcritical extraction was performed on 5 pre-selected sea cucumber intestine and egg raw materials under each extraction pressure group, and the sum of the mass percentages of unsaturated fatty acids and saturated fatty acids under each extraction stirring speed group was collected.

[0015] As a further solution of the present invention, a single factor response surface experiment was performed based on the oil yield:

[0016] With other extraction conditions unchanged, the extraction temperatures were set at 40°C, 45°C, 50°C, and 55°C, and subcritical extraction was performed on 5 pre-selected sea cucumber intestine and egg raw materials in each temperature group, and the oil yield data of each temperature group were collected;

[0017] When other extraction conditions remain unchanged, the extraction times are 2 times, 3 times, 4 times, 5 times and 6 times respectively, and subcritical extraction is performed on 5 pre-selected sea cucumber intestines and eggs raw materials in each extraction times group, and the oil yield data of the sea cucumber intestines and eggs finished oil in each extraction times group are collected;

[0018] When other extraction conditions remain unchanged, the single extraction time is 30min, 60min, 90min, 120min, 150min, 180min, 210min, and 240min respectively. In each single extraction time group, 5 pre-selected sea cucumber intestine and egg raw materials are subjected to subcritical extraction, and the oil yield data in each extraction time group are collected;

[0019] With other extraction conditions unchanged, the ratios of extraction material to extraction solvent were 1:2, 1:2.2, 1:2.4, 1:2.4, 1:2.6, 1:2.8, and 1:3, respectively. Subcritical extraction was performed on 5 pre-selected sea cucumber intestine and egg raw materials in each material to extraction solvent ratio group, and the oil yield data in each material to extraction solvent ratio group were collected.

[0020] As a further scheme of the present invention, SAS software is used to perform multivariate regression fitting on the data in the above experiment to obtain a quadratic polynomial regression equation of the sum of the mass percentages of unsaturated fatty acids and saturated fatty acids in the sea cucumber intestine and egg finished oil and the independent variables of extraction stirring speed and extraction pressure, as well as a quadratic polynomial regression equation of the sea cucumber intestine and egg oil yield on the independent variables of extraction temperature, number of extractions, single extraction time, and the ratio of material to extraction solvent.

[0021] As a further embodiment of the present invention, the process of preselecting raw materials comprises:

[0022] Step 11, collecting video data: collecting video data of the raw materials loaded on the tray on the sea cucumber intestine and egg raw material conveyor belt;

[0023] Step 12, extracting pictures: extracting pictures at fixed points and at regular intervals in the video data, producing classified detection data sets for different conveyor belt loading positions, and supplementing data images under various different visual conditions;

[0024] Step 13, classify the qualified raw material monitoring points: use the empty belt running data as negative samples, use the deep learning network MobileNetV2 to train the binary classification model under the machine learning framework pytorch, crop the images to a size of 256*256 pixels, use the stochastic gradient method and a learning rate of 0.0001;

[0025] Step 14, classify the unqualified raw materials + qualified raw materials monitoring points: take the qualified raw materials conveyor belt data as negative samples, use the deep learning network MobileNetV2 to train the binary classification model under the machine learning framework pytorch, cut the image into a size of 256*256 pixels, use the stochastic gradient method and a learning rate of 0.0001;

[0026] Step 15, statistics of monitoring point data: Based on the test results of the sampling points in step 13 and step 14, statistics are respectively made on whether the sampling ratio of empty tapes judged as unqualified in the unqualified monitoring point exceeds the limit, and whether the sampling ratio of unqualified raw materials judged as unqualified raw materials in the unqualified raw material + qualified raw material monitoring point exceeds the limit, and the raw material monitoring and analysis values ​​are obtained based on the preset raw material pre-selection monitoring formula, and the empty tape sampling ratio, unqualified raw material sampling ratio and raw material monitoring and analysis values ​​are notified to the raw material sorting personnel.

[0027] As a further solution of the present invention, in step 15, the preset raw material pre-selection monitoring formula normalizes the empty tape sampling ratio and the unqualified raw material sampling ratio, and at the same time assigns weights to the multi-dimensional image features and linearly combines them to comprehensively and quantitatively evaluate the quality and transmission status of the raw materials. The preset raw material pre-selection monitoring formula is:

[0028]

[0029] Where: A is the raw material monitoring and analysis value, ω E is the empty band sampling weight, ω U is the sampling weight of unqualified raw materials, ω F is the additional feature weight of the image, E is the real-time value of the empty band sampling ratio, T E is the sensitive threshold of the empty belt sampling ratio, U is the sampling ratio of unqualified raw materials, T U is the sensitive threshold of the sampling ratio of unqualified raw materials, F 1 is the color uniformity score, F 2 is the shape consistency score, F 3 is the defect quantity score, F 4 is the texture complexity score, F 1 、F 2 、F 3 、F 4 Obtained through image analysis technology, is the directional threshold of the image feature, set to 1.

[0030] As a further solution of the present invention, in step 15, the empty belt sampling ratio limit is 5%, and the unqualified raw material sampling ratio limit is 5%.

[0031] As a further solution of the present invention, in step 2, the particle size of the sea cucumber intestine and egg freeze-dried powder is 30 mesh.

[0032] As a further scheme of the present invention, in step three, the solvent is butane, and a single factor response surface experiment is carried out based on the sum of the mass percentages of unsaturated fatty acids and saturated fatty acids to obtain optimized extraction stirring speed and extraction pressure, the optimized extraction stirring speed is 60r / min, and the extraction pressure is 0.5MPa. A single factor response surface experiment is carried out based on the oil yield to obtain the optimized extraction temperature, number of extractions and material-liquid ratio, the optimized material to extraction solvent ratio is 1:2, the extraction temperature is 50°C, the extraction time is 2 hours, and the number of extractions is 2 times.

[0033] As a further solution of the present invention, in step 4, the separation treatment pressure is 0.2 MPa and the separation treatment temperature is 45°C.

[0034] As a further solution of the present invention, in step five, the Baume degree of sodium hydroxide is 10°Bé, the alkali refining and deacidification temperature is 87°C, the alkali refining and deacidification time is 10 seconds, the centrifugal treatment speed is 5000RPM, and the centrifugal time is 18 minutes.

[0035] As a further solution of the present invention, in step six, the mass percentage of moisture and volatile matter in the finished oil is less than 3%, the acid value is less than 10 mgKOH / g, the iodine value is 70-150 g / 100 g, and the hydrogen peroxide value is less than 2 g / 100 g.

[0036] In order to solve the problems raised by the background technology, the technical effects of the extraction process of the sea cucumber active oil proposed by the present invention include:

[0037] The sea cucumber active oil extraction process provided by the present invention effectively solves the problems of low raw material screening efficiency, poor screening accuracy, resource waste and unoptimized extraction process parameters in the prior art. Through the image analysis technology based on machine learning, the automated binary classification screening of sea cucumber intestine and egg raw materials is realized, the screening speed and accuracy are improved, the error and time cost of manual operation are reduced, and high-quality raw materials are ensured to enter the subsequent extraction link.

[0038] The present invention adopts a single factor response surface test to optimize the subcritical extraction process parameters, systematically adjusts the extraction stirring speed, extraction pressure, temperature, time and material-solvent ratio, improves the oil yield and oil quality, and ensures that the extraction process is stable and efficient;

[0039] The present invention realizes efficient recovery and recycling of solvents through decompression separation technology, reduces solvent loss, reduces production costs and reduces environmental pollution. The phosphoric acid degumming and sodium hydroxide alkali refining and deacidification processes effectively remove impurities and acidic substances in the oil, and improves the purity and stability of the finished oil.

[0040] This process fully utilizes the active ingredients in sea cucumber intestines and eggs, avoids the waste of raw materials in traditional methods, improves resource utilization, and ensures the quality and production safety of finished oil through multi-stage condensation liquefaction and strict centrifugal conditions;

[0041] The present invention adopts an intelligent real-time monitoring and feedback mechanism, and dynamically monitors the raw material screening process through a raw material pre-selection monitoring formula, thereby improving the oil yield and quality of sea cucumber active oil, and realizing efficient utilization of resources and intelligent control of the production process. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 This is a connection diagram of the subcritical extraction equipment for sea cucumber active oil of the present invention;

[0043] Figure 2 This is a process flow chart of subcritical extraction of sea cucumber active oil of the present invention;

[0044] In the figure: 1, butane cylinder; 2, filter; 3, refrigerator; 4, high-pressure metering pump; 5, mixer; 6, preheater; 7, extraction tank; 8, separator one; 9, separator two; 10, cumulative flow meter; 11, entrainer; 12, centrifugal pump. DETAILED DESCRIPTION

[0045] 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.

[0046] like Figure 1 Shown is an extraction process of sea cucumber active oil proposed by the present invention, equipment number and function description.

[0047] The butane cylinder 1 is used to store and supply butane solvent. Butane is the main solvent for subcritical extraction. The cylinder provides a stable solvent source to ensure the continuity and safety of the extraction process.

[0048] The filter is used to remove impurities and particles in the solvent during the extraction process, ensuring that the butane solvent entering the extraction tank 7 is pure and preventing equipment clogging and grease pollution.

[0049] The freezer 3 is used to freeze-dry the pre-selected sea cucumber intestines and eggs. Freeze-drying can effectively remove moisture from the raw materials, prevent oil oxidation, and improve oil extraction efficiency and quality.

[0050] The high-pressure metering pump 4 is responsible for delivering the butane solvent to the extraction tank 7 at high pressure. The high-pressure metering pump 4 ensures that the solvent can effectively penetrate and dissolve the oil in the sea cucumber intestine eggs under subcritical conditions.

[0051] The mixer 5 fully mixes and stirs the sea cucumber intestine and egg raw material and the butane solvent in the extraction tank 7. The efficient stirring of the mixer 5 helps to improve the extraction efficiency and ensure the full dissolution of the oil.

[0052] The preheater 6 preheats the butane solvent entering the extraction tank 7 to reach a set extraction temperature (such as 50° C.). The preheater ensures that the extraction process is carried out at an optimal temperature, thereby improving the solubility and extraction efficiency of the oil.

[0053] The extraction tank 7 is a reaction vessel for subcritical extraction. The extraction tank extracts the active oil in the sea cucumber intestines and eggs through a butane solvent under controlled temperature and pressure.

[0054] Separator 8 preliminarily separates the extract and the solid residue. The solvent is separated from the undissolved solid raw materials by physical separation method to obtain a preliminary oil solution.

[0055] Separator 2 9 further purifies the oil solution and removes residual solvent and trace impurities. Separator 2 9 uses efficient separation technology to ensure that the purity of the extracted oil meets the requirements.

[0056] The cumulative flow meter 10 monitors and records the flow of butane solvent during the extraction process. The data of the cumulative flow meter is used to control the stability of the extraction process and the efficiency of the use of the solvent.

[0057] The entrainer 11 prevents excessive mixing of oil and solvent during the extraction and separation process, thereby ensuring effective separation and purification of the oil. The entrainer 11 helps to improve separation efficiency and enhance oil quality.

[0058] The centrifugal pump 12 is used to centrifuge the separated grease solution to further remove trace impurities and residual solvents. The centrifugal pump 12 achieves efficient separation and purification of grease by high-speed rotation.

[0059] Detailed description of the process

[0060] Raw material pre-selection: The raw materials of sea cucumber intestines and eggs are automatically screened through image analysis technology to ensure that the quality of the raw materials entering the extraction process is qualified. The screened raw materials are sent to the freezer for freeze-drying.

[0061] Freeze drying and pulverization: The freezer 3 freezes the pre-selected sea cucumber intestine and roe raw material for 24 hours, removes the water, takes it out and pulverizes it into a powder with a size of less than 20 to 30 meshes using a pulverizer.

[0062] Subcritical extraction: The crushed sea cucumber intestine and egg raw material is sent to the extraction tank 7. The high-pressure metering pump 4 transports the butane solvent from the butane cylinder 1 to the extraction tank 7, and the weight ratio of the solvent to the raw material is 1:2-3.

[0063] The preheater 6 heats the butane solvent to 40-55° C. and stirs it at 60-1000 r / min through the mixer 5. The extraction time is 0.5-4 hours.

[0064] After the extraction is completed, the extract is allowed to stand for 30 minutes and is initially separated by a separator 8 to obtain a separated liquid and a filter residue.

[0065] Decompression separation: The separated liquid is sent to the separator 29 for efficient separation, removal of solvent and recycling. The solvent flows back to the solvent turnover tank through the compressor to achieve efficient recovery and recycling of the solvent.

[0066] Refining and purification: The crude oil obtained is degummed by using 85% phosphoric acid through the refining and purification steps, and then alkali-refined and deacidified by adding sodium hydroxide solution with a Baume degree of 5-10°Bé. After reacting at 80-90°C for 1-15 seconds, centrifugal separation is performed by a centrifugal pump 12 to obtain high-purity alkali-refined oil.

[0067] Vacuum drying and deodorization: Alkali oil refining is dried and deodorized under vacuum conditions to remove moisture and volatile substances. After freeze filtration, the finished sea cucumber intestinal egg oil is obtained, with moisture and volatile content less than 3%, acid value less than 10mg KOH / g, iodine value of 70-150g / 100g, and hydrogen peroxide value less than 2g / 100g.

[0068] like Figure 2 As shown, it is a subcritical extraction process flow chart of sea cucumber active oil of the present invention. First, butane cylinder 1 is used as the main storage and supply source of extraction solvent to provide a stable butane solvent. Butane is pretreated by filter 2 to remove impurities and particles, ensure the purity of the solvent, and prevent clogging and grease pollution of subsequent equipment. The filtered butane solvent is transported to mixer 5 by high-pressure metering pump 4, where it is fully mixed and stirred with the pre-treated sea cucumber intestine and egg raw material.

[0069] The pre-selected sea cucumber intestine and egg raw materials are first freeze-dried by a freezer 3 to remove moisture to prevent oil oxidation and improve extraction efficiency. The freeze-dried raw materials are crushed to less than 20 to 30 meshes to ensure that the solvent can fully penetrate and dissolve the oil. With the assistance of the preheater 6, the mixer 5 heats the butane solvent to 40 to 55°C, and stirs it at a speed of 60 to 1000r / min, and enters the extraction tank 7 for subcritical extraction. In the extraction tank 7, under controlled temperature and pressure (0.3 to 0.6MPa), the butane solvent and the sea cucumber intestine and egg raw materials are fully contacted in a weight ratio of 1:2 to 3, and the extraction is continued for 0.5 to 4 hours to efficiently extract the oil.

[0070] After the extraction is completed, the extract is left to stand for 30 minutes and is initially separated by separator 1 8 to separate the liquid and solid residue. The initially separated liquid further enters separator 2 9, where the residual solvent and trace impurities are removed by efficient separation technology to ensure the purity of the oil. The cumulative flow meter 10 monitors the flow of the solvent in real time to ensure the stability of the extraction process and the efficiency of the use of the solvent.

[0071] To prevent excessive mixing of oil and solvent, entrainer 11 is introduced into the extraction and separation process to optimize the effective separation and purification of oil. The separated oil solution is subjected to high-speed centrifugal treatment by centrifugal pump 12 to further remove trace impurities and solvent residues to obtain high-purity alkali refined oil.

[0072] Next, the alkali oil is degummed by using 85% phosphoric acid through the refining and purification steps, and then a sodium hydroxide solution with a Baume degree of 5-10°Bé is added to carry out an alkali refining and deacidification reaction at 80-90°C, and the reaction time is 1-15 seconds. The oil after the reaction is separated by centrifugation to obtain alkali refined oil. Finally, the alkali refined oil is dried and deodorized in a vacuum drying and deodorization equipment to remove moisture and volatile substances, and the finished sea cucumber intestinal egg oil is obtained by freeze filtration to ensure that the moisture and volatile content are less than 3%, the acid value is less than 10mg KOH / g, the iodine value is between 70-150g / 100g, and the hydrogen peroxide value is less than 2g / 100g.

[0073] Example 1

[0074] The present embodiment is an extraction process of sea cucumber active oil, including raw material preselection, raw material freeze drying, crushing, subcritical extraction, refining and purification, vacuum drying and deodorization. Compared with the existing enzymatic hydrolysis technology for obtaining lecithin, the improvement lies in that qualified sea cucumber intestine and egg raw materials are preselected based on machine learning image analysis technology, single factor response surface test production is carried out based on oil yield and the sum of unsaturated fatty acids and saturated fatty acids, and subcritical extraction process parameters are improved. The specific implementation steps of the process are as follows:

[0075] Step 1: Raw material pre-selection: collect images on the sea cucumber intestine and egg raw material conveyor belt, classify the images based on machine learning technology, and monitor the qualified rate of sea cucumber intestine and egg raw materials;

[0076] Step 2, freeze drying and crushing the raw materials: freeze the selected sea cucumber intestines and eggs in a freezer for 24 hours, then take them out and crush the freeze-dried raw materials in a crusher to a particle size of less than 20 to 30 meshes;

[0077] Step 3, subcritical extraction: open the feed valve of the extraction tank, load the freeze-dried raw material, close the feed valve, start the vacuum pump to exhaust the air in the tank, use the solvent pump to inject the subcritical solvent fluid into the tank, the weight ratio of the material to the solvent in the extraction tank is 1: (2-3), the solvent is one of ethane, butane, isobutane and dimethyl ether or a combination thereof, soak and stir the extraction at a speed of 60-1000r / min for 0.5-4 hours, the extraction temperature is 40-55°C, the extraction pressure is 0.3-0.6MPa, stand for 30 minutes, filter and separate the residue, obtain the separation liquid and the filter residue, centrifuge the separation liquid at a speed of 4000-9000RPM, use the centrifuge liquid for the treatment of step 3, combine the centrifuge residue and the filter residue, and use the obtained centrifuge liquid and the filter residue for the treatment of step 4. Based on the oil yield and the sum of unsaturated fatty acids and saturated fatty acids, a single factor response surface test is performed to improve the subcritical extraction process parameters;

[0078] Step 4, decompression separation: use a solvent pump to extract the centrifugal liquid from the extraction tank and pump it into the evaporation tank, open the compressor outlet valve, start the compressor, connect the extraction tank with the compressor suction port, gasify the residual solvent in the filter residue in the extraction tank, and the solvent gas enters the compressor. After compression, condensation and liquefaction, it flows back to the solvent turnover tank for recycling. The obtained meal is discharged from the extraction tank, and the evaporation tank is connected with the compressor suction port, and the evaporation tank is indirectly heated to separate the solvent from the crude oil after evaporation. The separation treatment pressure is 0.2-0.3MPa, and the separation treatment temperature is 45-50°C. The solvent vapor is compressed by the compressor, condensed and liquefied, and then returns to the solvent turnover tank for recycling. The obtained oil is discharged from the evaporation tank to obtain sea cucumber crude oil;

[0079] Step 5, refining and purification: using phosphoric acid with a mass concentration of 85% to degummed the sea cucumber crude oil, then adding a sodium hydroxide solution with a Baume degree of 5 to 10°Bé, performing alkali refining and deacidification at a temperature of 80 to 90°C for 1 to 15 seconds, and then centrifuging at a centrifugal speed of 4000 to 9000RPM for 3 to 20 minutes to obtain alkali refined oil;

[0080] Step 6: Vacuum drying and deodorization: Dry and deodorize the alkali refined oil under vacuum conditions, and then freeze filter to obtain finished oil.

[0081] It should be noted that a single factor response surface experiment was conducted based on the sum of the mass percentages of unsaturated fatty acids and saturated fatty acids, and the mass percentages of unsaturated fatty acids and saturated fatty acids were determined by gas chromatography:

[0082] When other extraction conditions remain unchanged, the extraction stirring speeds are 60r / min, 300r / min, 600r / min, and 1000r / min, respectively. Under each extraction stirring speed group, 5 pre-selected sea cucumber intestine egg raw materials are subjected to subcritical extraction, and the sum of the mass percentages of unsaturated fatty acids and saturated fatty acids under each extraction stirring speed group is collected. This type of test production is comparative examples 11, 12, 13, and 14, respectively. The collected data of each comparative example are shown in Table 1:

[0083] Table 1 Stirring speed comparison table of the sum of the mass percentages of unsaturated fatty acids and saturated fatty acids

[0084]

[0085]

[0086] In Comparative Example 11, at 60 r / min, the sum of unsaturated fatty acids and saturated fatty acids reached the maximum, meeting the optimization goal; in Comparative Example 12, the sum of unsaturated fatty acids and saturated fatty acids was slightly lower than 60 r / min, maintaining a high level but not reaching the maximum; in Comparative Example 13, the sum of unsaturated fatty acids plus saturated fatty acids further decreased, indicating that the sum gradually decreased with the increase of stirring speed; in Comparative Example 14, the sum of unsaturated fatty acids plus saturated fatty acids was the lowest at the highest stirring speed, verifying the maximization of the sum at 60 r / min.

[0087] When other extraction conditions remain unchanged, the extraction pressures are taken as 0.3MPa, 0.4MPa, 0.5MPa, and 0.6MPa, respectively. Under each extraction pressure group, 5 portions of preselected sea cucumber intestine and egg raw materials are subjected to subcritical extraction, and the sum of the mass percentages of unsaturated fatty acids and saturated fatty acids under each extraction stirring speed group is collected. The test productions of this type are Comparative Example 21, Comparative Example 22, Comparative Example 23, and Comparative Example 24. The production data of this type of comparative example is shown in Table 2.

[0088] Table 2 Extraction pressure comparison table of the sum of the mass percentages of unsaturated fatty acids and saturated fatty acids

[0089]

[0090] Through the single factor response surface experiment, the results showed that when the extraction pressure was 0.5MPa, the sum of the mass percentages of unsaturated fatty acids and saturated fatty acids reached the maximum (96.0% on average), and unsaturated fatty acids accounted for 38% to 39%, and saturated fatty acids accounted for 57% to 58%, indicating that the extraction pressure has a significant effect on the extraction effect of sea cucumber intestinal egg oil. 0.5MPa is the optimal extraction pressure parameter, which helps to increase the mass percentage of unsaturated fatty acids and saturated fatty acids and improve the oil quality.

[0091] It should be noted that the single factor response surface test was conducted based on the oil yield:

[0092] With other extraction conditions unchanged, the extraction temperatures were taken as 40°C, 45°C, 50°C, and 55°C, respectively. Subcritical extraction was performed on 5 pre-selected sea cucumber intestine and egg raw materials in each temperature group, and the oil yield data of each temperature group was collected. The test productions of this type were Comparative Example 31, Comparative Example 32, Comparative Example 33, and Comparative Example 34, respectively. The production data of this type of comparative example are shown in Table 3.

[0093] Table 3 Oil yield collection table of extraction temperature comparison

[0094]

[0095] Through the single-factor response surface experiment, the results showed that when the extraction temperature was 50°C, the oil yield reached the highest (average 21.40%) and was within the target range (21% to 22%), indicating that the extraction temperature has a significant effect on the extraction effect of sea cucumber intestinal egg oil. 50°C is the optimal extraction temperature parameter, which helps to improve the oil yield.

[0096] When other extraction conditions remain unchanged, the extraction times are 2 times, 3 times, 4 times, 5 times, and 6 times respectively. In each extraction times group, 5 portions of pre-selected sea cucumber intestines and eggs raw materials are subjected to subcritical extraction, and the oil yield data of the sea cucumber intestines and eggs finished oil in each extraction times group are collected. This type of test production is Comparative Example 41, Comparative Example 42, Comparative Example 43, and Comparative Example 44 respectively. The oil yield data collection of this type of comparative example is shown in Table 4:

[0097] Table 4 Oil yield collection table of extraction times comparison ratio

[0098]

[0099]

[0100] The results of single factor response surface test showed that the oil yield of sea cucumber intestinal egg oil reached the highest (average 21.54%) when the extraction times were 2. As the extraction times increased, the oil yield gradually decreased, which verified that 2 extractions were the optimal parameters and helped to improve the oil yield.

[0101] When other extraction conditions remain unchanged, the single extraction time is 30min, 60min, 90min, 120min, 150min, 180min, 210min and 240min respectively. In each single extraction time group, 5 pre-selected sea cucumber intestine and egg raw materials are subjected to subcritical extraction, and the oil yield data of each extraction time group are collected. This type of test production is comparative example 51, comparative example 52, comparative example 53, comparative example 54, comparative example 55, comparative example 56, comparative example 57 and comparative example 58 respectively. The oil yield collection data of this type of comparative example is shown in Table 5.

[0102] Table 5 Oil yield data collection table for single extraction time

[0103]

[0104] Through the single factor response surface test, the results showed that when the extraction time was 120 minutes, the oil yield of sea cucumber intestinal egg oil reached the highest (average 21.54%). As the extraction time increased or decreased, the oil yield decreased, verifying that 120 minutes was the optimal extraction time parameter, which helped to improve the oil yield.

[0105] When other extraction conditions remain unchanged, the ratio of extraction material to extraction solvent is 1:2, 1:2.2, 1:2.4, 1:2.4, 1:2.6, 1:2.8 and 1:3 respectively. Subcritical extraction is carried out on 5 pre-selected sea cucumber intestine and egg raw materials under each material and extraction solvent ratio group, and the oil yield data under each material and extraction solvent ratio group are collected, which are Comparative Example 61, Comparative Example 62, Comparative Example 63, Comparative Example 64, Comparative Example 65, Comparative Example 66 and Comparative Example 67 respectively. The oil yield collection data of this type of comparative examples are shown in Table 6.

[0106] Table 6 Oil yield data collection table of the ratio of extraction material to extraction solvent

[0107]

[0108] Through the single factor response surface test, the results showed that when the ratio of material to extraction solvent was 1:2, the oil yield of sea cucumber intestinal egg oil reached the highest (average 21.82%). As the ratio of extraction solvent increased, the oil yield gradually decreased, verifying that the ratio of 1:2 was the optimal parameter, which helped to improve the oil yield.

[0109] Through the data analysis of the above comparative proportion, it can be concluded that:

[0110] In step three, the solvent is butane, and a single factor response surface experiment is carried out based on the sum of the mass percentages of unsaturated fatty acids and saturated fatty acids to obtain the optimized extraction stirring speed and extraction pressure. The optimized extraction stirring speed is 60r / min, and the extraction pressure is 0.5MPa. A single factor response surface experiment is carried out based on the oil yield to obtain the optimized extraction temperature, number of extractions and material-liquid ratio. The optimized ratio of material to extraction solvent is 1:2, the extraction temperature is 50°C, the extraction time is 2 hours, and the number of extractions is 2 times.

[0111] Then, SAS software was used to perform multiple regression fitting on the above data to obtain the quadratic polynomial regression equation of the sum of the mass percentages of unsaturated fatty acids and saturated fatty acids in the finished oil of sea cucumber intestines and eggs and the independent variables of extraction stirring speed and extraction pressure, as well as the quadratic polynomial regression equation of the oil yield of sea cucumber intestines and eggs on the independent variables of extraction temperature, number of extractions, single extraction time, and the ratio of materials to extraction solvent. Based on the data in Tables 1 to 6 after optimization, SAS software was used to perform multiple regression fitting on the data of the single-factor response surface test, and the following two quadratic polynomial regression equations were established:

[0112] M=40.5+0.15v jb +0.8P cq +0.02v jb 2 -0.05P cq 2 +0.01vjb ×P cq

[0113] Where: M is the sum of the mass percentages of unsaturated fatty acids and saturated fatty acids, which is calculated from the experimental data at different extraction stirring speeds (60, 300, 600, 1000 r / min) and extraction pressures (0.3, 0.4, 0.5, 0.6 MPa) in Tables 1 and 2, v jb is the extraction stirring speed, in r / min, which is 60, 300, 600, and 1000 r / min in Comparative Examples 11 to 14, respectively. cq is the extraction pressure, in MPa, which is 0.3, 0.4, 0.5 and 0.6 MPa in Comparative Examples 21 to 24, respectively.

[0114]

[0115] Wherein: Y is the oil yield, which is calculated by the experimental data under different extraction temperatures (40, 45, 50, 55°C), extraction times (2, 3, 4, 5, 6 times), single extraction time (30, 60, 90, 120, 150, 180, 210, 240 minutes) and material to extraction solvent ratio (1:2, 1:2.2, 1:2.4, 1:2.6, 1:2.8, 1:3) in Tables 3 to 6, T cq is the extraction temperature, in °C, which is 40, 45, 50, and 55 °C in Comparative Examples 31 to 34, respectively. e is the number of extractions, in units of times, which are 2, 3, 4, 5, and 6 times in Comparative Examples 41 to 44, respectively. pe is the single extraction time, in minutes, which is 30, 60, 90, 120, 150, 180, 210, and 240 minutes in Comparative Examples 51 to 58, respectively. r is the ratio of material to extraction solvent, which is 1:2, 1:2.2, 1:2.4, 1:2.6, 1:2.8 and 1:3 in Comparative Examples 61 to 67, respectively.

[0116] It should be noted that the process of pre-selecting raw materials includes:

[0117] Step 11, collecting video data: collecting video data of the raw materials loaded on the tray on the sea cucumber intestine and egg raw material conveyor belt;

[0118] Step 12, extracting pictures: extracting pictures at fixed points and at regular intervals in the video data, producing classified detection data sets for different conveyor belt loading positions, and supplementing data images under various different visual conditions;

[0119] Step 13, classify the qualified raw material monitoring points: use the empty belt running data as negative samples, use the deep learning network MobileNetV2 to train the binary classification model under the machine learning framework pytorch, crop the images to a size of 256*256 pixels, use the stochastic gradient method and a learning rate of 0.0001;

[0120] Step 14, classify the unqualified raw materials + qualified raw materials monitoring points: take the qualified raw materials conveyor belt data as negative samples, use the deep learning network MobileNetV2 to train the binary classification model under the machine learning framework pytorch, cut the image into a size of 256*256 pixels, use the stochastic gradient method and a learning rate of 0.0001;

[0121] Step 15, statistics of monitoring point data: Based on the test results of the sampling points in step 13 and step 14, statistics are respectively made on whether the sampling ratio of empty tapes judged as unqualified in the unqualified monitoring point exceeds the limit, and whether the sampling ratio of unqualified raw materials judged as unqualified raw materials in the unqualified raw material + qualified raw material monitoring point exceeds the limit, and the raw material monitoring and analysis values ​​are obtained based on the preset raw material pre-selection monitoring formula, and the empty tape sampling ratio, unqualified raw material sampling ratio and raw material monitoring and analysis values ​​are notified to the raw material sorting personnel.

[0122] It should be noted that in step 15, the preset raw material pre-selection monitoring formula normalizes the empty belt sampling ratio and the unqualified raw material sampling ratio, and at the same time assigns weights to the multi-dimensional image features and linearly combines them to comprehensively and quantitatively evaluate the quality and transmission status of the raw materials. The preset raw material pre-selection monitoring formula is:

[0123]

[0124] Where: A is the raw material monitoring and analysis value, ω E is the empty band sampling weight, ω U is the sampling weight of unqualified raw materials, ω D is the additional feature weight of the image, E is the real-time value of the empty band sampling ratio, T E is the sensitive threshold of the empty belt sampling ratio, U is the sampling ratio of unqualified raw materials, T U is the sensitive threshold of the sampling ratio of unqualified raw materials, F 1 is the color uniformity score, F 2 is the shape consistency score, F 3 is the defect quantity score, F 4 is the texture complexity score, F 1 、F 2 、F 3 、F 4 Obtained through image analysis technology, is the directional threshold of the image feature, set to 1.

[0125] It should be noted that in step 15, the empty belt sampling ratio limit is 5%, and the unqualified raw material sampling ratio limit is 5%.

[0126] It should be noted that, in step 2, the particle size of the sea cucumber intestine and egg freeze-dried powder is 30 mesh.

[0127] It should be noted that in step 4, the separation treatment pressure is 0.2 MPa and the separation treatment temperature is 45°C.

[0128] It should be noted that in step 5, the Baume degree of sodium hydroxide is 10°Bé, the alkali refining and deacidification temperature is 87°C, the alkali refining and deacidification time is 10 seconds, the rotation speed of the centrifugal treatment is 5000RPM, and the centrifugal time is 18 minutes.

[0129] It should be noted that in step six, the mass percentage of moisture and volatile matter in the finished oil is less than 3%, the acid value is less than 10 mgKOH / g, the iodine value is 70-150 g / 100 g, and the hydrogen peroxide value is less than 2 g / 100 g.

[0130] Example 2

[0131] The difference from Example 1 is that in step 1, the pre-selection of sea cucumber intestines and eggs raw materials is carried out manually, and manual screening is performed according to the integrity, freshness, impurity content, and odor of the sea cucumber intestines and eggs to screen out qualified raw materials. The remaining steps are the same as Example 1.

[0132] Statistical data show that in Example 1, it takes 30 seconds to 1 minute to pre-select five portions of sea cucumber intestines and eggs using image analysis technology based on machine learning, while in Example 2, manual screening of the five portions of sea cucumber intestines and eggs usually takes 10 to 15 minutes, depending on the operator's experience level and the complexity of the screening criteria. This is not only time-consuming, but also easily affected by subjective factors, resulting in inconsistency in the screening results.

[0133] The statistical data also show that in Example 1, 210-220g (oil extraction rate 21%-22%) of sea cucumber intestinal egg oil can be extracted from each kilogram of freeze-dried powder, of which unsaturated fatty acids account for 38%-39%, saturated fatty acids account for 57%-58%, and other nutrients (trace amino acid peptides) account for 3%-5%. In Example 2, unoptimized subcritical extraction process parameters were used to extract sea cucumber intestinal egg oil, and 170-180g (oil extraction rate 17%-18%) of sea cucumber intestinal egg oil can be extracted from each kilogram of freeze-dried powder, of which unsaturated fatty acids account for 32%-33%, saturated fatty acids account for 62%-63%, and other nutrients (trace amino acid peptides) are less than 2%. This shows that Example 1 not only saves the time of pre-selecting materials by pre-selecting sea cucumber intestinal egg raw materials through machine learning, but also saves labor costs, improves the oil yield and fatty acid composition of sea cucumber intestinal egg oil, enhances the nutritional value of oil, and at the same time improves resource utilization efficiency and reduces production costs.

[0134] Based on the results of Example 1 and Example 2, the sea cucumber active oil extraction process provided by the present invention effectively solves the problems of low raw material screening efficiency, poor screening accuracy, waste of resources and unoptimized extraction process parameters in the prior art, and realizes the automated binary classification screening of sea cucumber intestine and egg raw materials through image analysis technology based on machine learning, thereby improving the screening speed and accuracy, reducing the error and time cost of manual operation, and ensuring that high-quality raw materials enter the subsequent extraction link;

[0135] The present invention adopts a single factor response surface test to optimize the subcritical extraction process parameters, systematically adjusts the extraction stirring speed, extraction pressure, temperature, time and material-solvent ratio, improves the oil yield and oil quality, and ensures that the extraction process is stable and efficient;

[0136] The present invention realizes efficient recovery and recycling of solvents through decompression separation technology, reduces solvent loss, reduces production costs and reduces environmental pollution. The phosphoric acid degumming and sodium hydroxide alkali refining and deacidification processes effectively remove impurities and acidic substances in the oil, and improves the purity and stability of the finished oil.

[0137] This process fully utilizes the active ingredients in sea cucumber intestines and eggs, avoids the waste of raw materials in traditional methods, improves resource utilization, and ensures the quality and production safety of finished oil through multi-stage condensation liquefaction and strict centrifugal conditions;

[0138] The present invention adopts an intelligent real-time monitoring and feedback mechanism, and dynamically monitors the raw material screening process through a raw material pre-selection monitoring formula, thereby improving the oil yield and quality of sea cucumber active oil, and realizing efficient utilization of resources and intelligent control of the production process.

[0139] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0140] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. A process for extracting sea cucumber active oil, comprising raw material preselection, raw material freeze drying, crushing, subcritical extraction, refining and purification, vacuum drying and deodorization, characterized in that: Based on machine learning image analysis technology, qualified sea cucumber intestine and egg raw materials were pre-selected, and single factor response surface test production was carried out based on oil yield and the sum of unsaturated fatty acids and saturated fatty acids to improve subcritical extraction process parameters. The steps are as follows: Step 1: Raw material pre-selection: collect images on the sea cucumber intestine and egg raw material conveyor belt, classify the images based on machine learning technology, and monitor the qualified rate of sea cucumber intestine and egg raw materials; Step 2, freeze drying and crushing the raw materials: freeze the selected sea cucumber intestines and eggs in a freezer for 24 hours, then take them out and crush the freeze-dried raw materials in a crusher to a particle size of less than 20 to 30 meshes; Step 3, subcritical extraction: open the feed valve of the extraction tank, load the freeze-dried raw material, close the feed valve, start the vacuum pump to exhaust the air in the tank, use the solvent pump to inject the subcritical solvent fluid into the tank, the weight ratio of the material to the solvent in the extraction tank is 1: (2-3), the solvent is one of ethane, butane, isobutane and dimethyl ether or a combination thereof, soak and stir the extraction at a speed of 60-1000r / min for 0.5-4 hours, the extraction temperature is 40-55°C, the extraction pressure is 0.3-0.6MPa, stand for 30 minutes, filter and separate the residue, obtain the separation liquid and the filter residue, centrifuge the separation liquid at a speed of 4000-9000RPM, the centrifuge liquid is used for the treatment of step 3, the centrifuge residue and the filter residue are combined, and the obtained centrifuge liquid and the filter residue are used for the treatment of step 4; Step 4, decompression separation: extract the centrifuge liquid from the extraction tank with a solvent pump and pump it into the evaporation tank, open the compressor outlet valve, start the compressor, connect the extraction tank with the compressor suction port, gasify the residual solvent in the filter residue in the extraction tank, the solvent gas enters the compressor, and flows back to the solvent turnover tank after compression, condensation and liquefaction, and is recycled, the obtained meal is discharged from the extraction tank, the evaporation tank is connected with the compressor suction port, and the evaporation tank is indirectly heated to separate the solvent from the crude oil after evaporation, and the solvent vapor is compressed by the compressor, condensed and liquefied, and then returned to the solvent turnover tank for recycling, and the obtained oil is discharged from the evaporation tank to obtain sea cucumber crude oil; Step 5, refining and purification: using phosphoric acid with a mass concentration of 85% to degummed the sea cucumber crude oil, then adding a sodium hydroxide solution with a Baume degree of 5 to 10°Bé, performing alkali refining and deacidification at a temperature of 80 to 90°C for 1 to 15 seconds, and then centrifuging to obtain alkali refined oil; Step 6: Vacuum drying and deodorization: Dry and deodorize the alkali refined oil under vacuum conditions, and then freeze filter to obtain finished oil.

2. The extraction process of a sea cucumber active oil according to claim 1, characterized in that: In step 1, the process of pre-selecting raw materials includes: Step 11, collecting video data: collecting video data of the raw materials loaded on the tray on the sea cucumber intestine and egg raw material conveyor belt; Step 12, extracting pictures: extracting pictures at fixed points and at regular intervals in the video data, producing classified detection data sets for different conveyor belt loading positions, and supplementing data images under various different visual conditions; Step 13, classify the qualified raw material monitoring points: use the empty belt running data as negative samples, use the deep learning network MobileNetV2 to train the binary classification model under the machine learning framework pytorch, crop the images to a size of 256*256 pixels, use the stochastic gradient method and a learning rate of 0.0001; Step 14, classify the unqualified raw materials + qualified raw materials monitoring points: take the qualified raw materials conveyor belt data as negative samples, use the deep learning network MobileNetV2 to train the binary classification model under the machine learning framework pytorch, cut the image into a size of 256*256 pixels, use the stochastic gradient method and a learning rate of 0.0001; Step 15, statistics of monitoring point data: Based on the test results of the sampling points in step 13 and step 14, statistics are respectively made on whether the sampling ratio of empty tapes judged as unqualified in the unqualified monitoring point exceeds the limit, and whether the sampling ratio of unqualified raw materials judged as unqualified raw materials in the unqualified raw material + qualified raw material monitoring point exceeds the limit, and the raw material monitoring and analysis values ​​are obtained based on the preset raw material pre-selection monitoring formula, and the empty tape sampling ratio, unqualified raw material sampling ratio and raw material monitoring and analysis values ​​are notified to the raw material sorting personnel.

3. A process for extracting sea cucumber active oil according to claim 2, characterized in that: In step 15, the preset raw material pre-selection monitoring formula normalizes the empty belt sampling ratio and the unqualified raw material sampling ratio, and at the same time assigns weights to the multi-dimensional image features and linearly combines them to comprehensively and quantitatively evaluate the quality and transmission status of the raw materials. The preset raw material pre-selection monitoring formula is: Where: A is the raw material monitoring and analysis value, ω E is the empty band sampling weight, ω U is the sampling weight of unqualified raw materials, ω F is the additional feature weight of the image, E is the real-time value of the empty band sampling ratio, T E is the sensitive threshold of the empty belt sampling ratio, U is the sampling ratio of unqualified raw materials, T U is the sensitive threshold of the sampling ratio of unqualified raw materials, F1 is the color uniformity score, F2 is the shape consistency score, F3 is the defect quantity score, and F4 is the texture complexity score. F1, F2, F3, and F4 are obtained through image analysis technology. is the directional threshold of the image feature, set to 1.

4. A process for extracting sea cucumber active oil according to claim 3, characterized in that: In step 15, the empty belt sampling ratio limit is 5%, and the unqualified raw material sampling ratio limit is 5%.

5. The extraction process of a sea cucumber active oil according to claim 1, characterized in that: In step 2, the particle size of the sea cucumber intestine and egg freeze-dried powder is 30 meshes.

6. The extraction process of a sea cucumber active oil according to claim 1, characterized in that: In step three, the solvent is butane, and a single factor response surface experiment is carried out based on the sum of the mass percentages of unsaturated fatty acids and saturated fatty acids to obtain the optimized extraction stirring speed and extraction pressure. The optimized extraction stirring speed is 60r / min, and the extraction pressure is 0.5MPa. A single factor response surface experiment is carried out based on the oil yield to obtain the optimized extraction temperature, number of extractions and material-liquid ratio. The optimized ratio of material to extraction solvent is 1:2, the extraction temperature is 50°C, the extraction time is 2 hours, and the number of extractions is 2 times.

7. The extraction process of a sea cucumber active oil according to claim 1, characterized in that: In step 4, the separation treatment pressure is 0.2-0.3 MPa, and the separation treatment temperature is 45-50°C.

8. The extraction process of a sea cucumber active oil according to claim 1, characterized in that: In step 5, the Baume degree of sodium hydroxide is 10°Bé, the alkali refining and deacidification temperature is 87°C, the alkali refining and deacidification time is 10 seconds, the centrifugal speed is 4000-9000RPM, and the centrifugal time is 3-20 minutes.

9. The extraction process of a sea cucumber active oil according to claim 1, characterized in that: In step six, the mass percentage of moisture and volatile matter in the finished oil is less than 3%, the acid value is less than 10 mgKOH / g, the iodine value is 70-150 g / 100 g, and the hydrogen peroxide value is less than 2 g / 100 g.

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