2071 results about "Shelf life" patented technology

The invention discloses a fresh commodity after-ripening regulation and control planning method oriented to maturity grading, and relates to the technical field of food science and biologication.The method comprises the steps that physiological parameters of fresh commodities are collected in real time based on a multi-modal sensor, and the physiological parameters comprise the epidermis pigment content, the ethylene release rate, the fruit hardness and the respiration intensity; the collected physiological parameters are input into a multi-objective optimization model based on deep learning, the model fuses a metabolic kinetic equation and an LSTM time sequence prediction algorithm, and a regulation and control parameter combination adaptive to the current mature stage is output; according to the regulation and control parameter combination, the temperature, the relative humidity and the O2 / CO2 concentration gradient of the controlled atmosphere storage equipment are synchronously regulated through a distributed control system, and a plant hormone antagonist is injected through an ultrasonic atomization device; and constructing a supply chain collaborative network based on a block chain technology, binding a grading result with logistics path planning, and adjusting a temperature control strategy and a shelf life countdown parameter of the cold chain transport vehicle in real time through an edge computing node.

The invention provides a multi-mode environment cooperative regulation and control system for poultry egg preservation. The system comprises a sensor network and a server, wherein the sensor network is used for collecting poultry egg data; the server is used for constructing a digital twinborn model according to the poultry egg data; perceptual data output by the digital twin model are input into a quantum neural network model, and a predicted fresh-keeping result and an optimal environment regulation and control parameter combination are obtained; according to the optimal environment regulation and control parameter combination, driving a regulation and control actuator group and feeding back actually executed regulation and control parameter values to the digital twinborn model; comparing the difference between the actual fresh-keeping effect reflected by the digital twinborn model and the predicted fresh-keeping result, and optimizing a mapping strategy from the current poultry egg state to the optimal regulation and control parameter by taking the fresh-keeping period extension rate as a reward function; the change condition of biochemical indexes is monitored through a digital twinborn model, and a monitoring result serves as a feedback signal to be input into the reinforcement learning module for strategy adjustment. The fresh-keeping period can be prolonged, intelligent prediction is achieved, quality traceability is guaranteed, and the energy consumption cost is reduced.

The invention discloses a non-living aquatic product supply chain quality deterioration visual early warning method, and belongs to the field of non-living aquatic product dynamic monitoring, and the method comprises the following steps: S1, synchronously collecting the physical appearance, quality indication labels and environmental parameters of non-living aquatic products, and constructing a multi-dimensional data set; s2, extracting complementary features, and outputting weighted fusion features; s3, establishing a residual shelf life prediction model, and obtaining a residual shelf life prediction value and a confidence interval; s4, based on the residual shelf life prediction value, constructing a supply chain digital twinborn body, and mapping a physical entity state in real time; and S5, continuously optimizing parameters of the residual shelf life prediction model. By adopting the non-living aquatic product supply chain quality deterioration visual early warning method, multi-modal feature deep interaction, digital twinborn visualization and adaptive iteration are fused, a data acquisition-feature fusion-prediction early warning-model evolution closed loop is constructed, and the limitation of a traditional single-modal and static model is broken through.

The invention relates to the technical field of sales management, and discloses a mineral water sales inventory management method based on deep learning, and the method comprises the steps: 1, collecting a data source affecting the sales volume of mineral water, carrying out the format standardization, time alignment and feature extraction of the data source, and carrying out the feature extraction of the data source; generating a group of multi-dimensional input feature vectors for describing external sales driving factors; and 2, inputting the multi-dimensional input feature vector and historical sales volume data into a deep learning model, training to obtain a mineral water future sales volume predicted value, and carrying out inventory state analysis in combination with current inventory data, shelf life parameters and replenishment cycle parameters. According to the method, the technical scheme of feature fusion of fusing external sales driving factors and multi-source structured behavior data and unified input tensor construction is adopted, and the technical effects of dynamic modeling and real-time response of external factors such as weather, holidays and festivals, regional activities and sales promotion states in sales prediction are achieved.

The invention relates to the technical field of food packaging materials, in particular to a cerium dioxide nano-enzyme modified antibacterial coating and application of the cerium dioxide nano-enzyme modified antibacterial coating in food packaging. The biomimetic mineralization layer comprises the following components in percentage by weight: 35-45% of a green base material, 8-12% of dopamine modified yttrium-doped cerium dioxide nano-enzyme, 4-6% of a composite antibacterial agent, 3-4% of a natural cross-linking agent, 2-3% of a degradable plasticizer, 1-2% of a biomimetic mineralization layer precursor and the balance of deionized water, the green base material is a blend of a chitosan-polyethylene glycol graft and polylactic acid; the doping amount of Y3 in the nano enzyme is 3-4at%. The antibacterial agent is excellent and lasting in antibacterial effect, has no migration risk of the antibacterial agent, and can guarantee food safety; a green base material and a degradable plasticizer are adopted, so that natural degradation is realized, and environmental pollution is avoided; the mechanical property is good, the aging resistance is realized, and the oxygen barrier property is strong; the food packaging box is suitable for various foods, effectively prolongs the shelf life, and meets the requirement of green packaging.

The invention relates to the technical field of block chain food traceability, and discloses a block chain-based food traceability method and system, and the method comprises the steps: carrying out the timestamp processing of a batch number, a production date, a transportation temperature and storage humidity, and calculating a dynamic guarantee period to generate a traceability record; encrypting the batch number and the dynamic shelf life to generate a tamper-proof hash value; when the temperature and the humidity exceed threshold values, food state records are generated in combination with the Hash values; synchronizing the food state record to a supply chain node and performing consistency verification to obtain a shared data set; generating a credible two-dimensional code containing a batch number, a dynamic shelf life and a circulation record based on the shared data set; the consumer executes verification after scanning the code, extracts the shelf life field and the circulation information abstract, and compares the dynamic shelf life with the current time to generate a user interface; and consumer feedback is extracted, batch matching is verified through a timestamp, and a food traceability report is generated. The food state can be reflected in real time, data tampering is prevented, and traceability credibility is improved.

The invention provides a warehouse management method for emergency materials of a smart station, and the method comprises the steps: obtaining a production date, an expiration date and an initial environment parameter through the analysis of an electronic tag of the emergency materials, and generating a dynamic temperature suitable range based on the nonlinear mapping of the expiration date and an initial temperature value; generating a dynamic humidity suitable range based on a correlation model of the production date and the initial humidity value; the overlap ratio of the remaining days of the shelf life and the temperature suitable range is calculated to serve as a first priority factor, a second dynamic allocation factor is generated in combination with the real-time load rate of the warehouse, and a material allocation matrix is generated through integration of a priority fusion algorithm; according to the method, target warehouse environment parameters are monitored in real time, a multi-stage adjustment strategy is triggered when the target warehouse environment parameters exceed a suitable range, a parameter self-learning engine is started when verification fails, intelligent regulation and optimization of the storage environment are achieved, and the emergency material storage safety and management efficiency are improved. The method can dynamically adapt to the material characteristic change, and optimizes the warehouse environment control precision.

The invention provides preserved fruit preparation integrated equipment and a low-sugar auricularia polytricha preserved fruit processing method. The preserved fruit preparation integrated equipment comprises a closed vacuum sugar permeation tank and a preserved fruit loading basket which is horizontally suspended in the vacuum sugar permeation tank; a detachable sealing cover is arranged above the vacuum sugar permeation tank; the sealing cover is provided with an air outlet pipe and an air inlet pipe which are communicated with the interior of the vacuum sugar permeation tank and can be closed; a sugar inlet pipe and a sugar outlet pipe which are horizontally arranged are also arranged at the lower part of the side wall of the vacuum sugar permeation tank; the preserved fruit preparation integrated equipment realizes effective integration of vacuum sugar permeation, gradient drying and surface treatment processes, is energy-saving and efficient, and avoids the problem of preserved fruit exposure pollution existing in multi-process treatment; the method is applied to the preparation of the preserved auricularia polytricha, and under the cooperation of a low-sugar formula design, the prepared preserved auricularia polytricha is good in appearance, taste and texture and also has a relatively long shelf life, relatively high economic value and a wide market prospect.

The invention provides a preparation method and application of a mineral oral liquid containing fat-soluble vitamins, the fat-soluble vitamins are dissolved in an oil phase, then the oil phase is mixed with a water phase containing an emulsifier, and high-shear and high-pressure homogenization treatment is performed to obtain emulsified fat-soluble vitamins; dispersing the sweetening agent, the suspending aid, the pH regulator and the insoluble mineral substances to obtain a mixed solution; adding the emulsified fat-soluble vitamins and the flavor regulator into the mixed solution, adding water to a constant volume, and uniformly stirring to obtain a material solution; and canning the feed liquid, sealing, and sterilizing at high temperature to obtain the oral liquid. The fat-soluble vitamins in the oral liquid provided by the invention are small in particle size after being subjected to high-shear and high-pressure homogenization treatment, can tolerate high-temperature sterilization, is small in loss rate, good in dispersity and high in stability within the shelf life, and can maintain the actual content of the fat-soluble vitamins in the oral liquid and ensure the nutritional effect of the fat-soluble vitamins.

The invention belongs to the field of food processing, and particularly relates to an ostrich meat preservative and a preservation method. The ostrich meat preservative provided by the invention is prepared by matching and mixing the chitosan, the nisin and the tea polyphenol according to a specific proportion, so that the refrigeration refreshing time of the ostrich meat treated by the preservative can be effectively prolonged, the ostrich meat can maintain a relatively high L * value and a * value within 16 days of storage, the deterioration of meat color is delayed, the water-retaining property is remarkably improved, and the quality of the ostrich meat is improved. The content of thiobarbituric acid reactants and volatile basic nitrogen is obviously reduced, and fat oxidation and protein degradation are inhibited; the total number of bacterial colonies and the number of microorganisms such as coliform bacteria, pseudomonas, mould and saccharomycetes are obviously reduced. The growth and reproduction of putrefying bacteria can be effectively inhibited, and the cold fresh shelf life is prolonged.

The invention relates to the technical field of intelligent food production, in particular to a probiotic plant beverage production method and system.The method comprises the steps that mildewed and damaged areas of penthorum chinense pursh, gastrodia elata and other plant raw materials are recognized and removed, the content of reducing sugar is detected, and a traceability identifier is generated; the preparation method comprises the following steps: compounding lactobacillus plantarum A, lactobacillus plantarum B and lactobacillus paracasei, embedding by adopting a sporopollen-calcium alginate core-shell structure, and adjusting the thickness of a shell layer and the concentration of carboxymethyl pachymaran; correcting Arrhenius equation activation energy Ea through bacterial colony density data so as to calculate the attenuation rate k value in the shelf life; after the fermentation liquor is embedded for the second time, QR code labels are generated for products qualified in primary inspection, and RFID temperature and humidity sensing chips are integrated; and pushing real-time shelf lives of qualified finished products, probiotic flora activity reports and traceability identifiers to consumers. According to the invention, the problems of low efficiency, lag in fermentation regulation, backward traceability technology and isolated intelligent technology of the traditional process are solved.

The invention discloses a preparation method of a slow-release solid preservative, and relates to the field of fruit preservation, and the preservative is prepared from the following raw materials in parts by weight: 5-8 parts of chitosan, 2-4 parts of carrageenan, 1-5 parts of sodium citrate, 2-3 parts of silicon dioxide, 3-4 parts of 1-methylcyclopropene, 2-3 parts of chlorine dioxide, 1-2 parts of water and 3-6 parts of baking soda. The preservation method of the slow-release solid preservative comprises the following steps: loading the solid preservative in a non-woven bag, placing the non-woven bag in a foam box or a packaging bag loaded with fruits, and sealing the foam box or the packaging bag. The baking soda in the preservative releases carbon dioxide, 1-methylcyclopropene and chlorine dioxide, and meanwhile, the physiological metabolism of the fruits and the generation of ethylene are effectively inhibited, and pathogenic bacteria are killed, so that the shelf life of the fruits is prolonged.

The invention belongs to the technical field of food preservation, and particularly discloses an aerogel fiber membrane with humidity response and capable of being used for food preservation and a preparation method of the aerogel fiber membrane. The preparation method comprises the following steps: mixing a shell film-forming substance with a first solvent to obtain a shell spinning solution; mixing a core layer gel substance, a biological preservative, a cross-linking agent and a second solvent to obtain a core layer gel spinning solution; and then carrying out coaxial electrostatic spinning on the obtained shell layer spinning solution and core layer gel spinning solution at 40-60% RH to obtain the aerogel fiber membrane which has humidity response and can be used for food preservation. The core layer with the porous aerogel structure is prepared in one step, preparation is simple, industrialization is easy to achieve, and good application prospects are achieved; the aerogel fiber membrane not only can solve the problem of juice seepage in the storage process of fresh food, but also can perform humidity response to the environment and intelligently release an antibacterial agent in a controlled mode, growth and reproduction of dominant putrefying bacteria in the storage process of the fresh food are inhibited, and the preservation period is prolonged.

The invention provides an intelligent antibacterial konjac glucomannan composite film and a preparation method thereof. The intelligent antibacterial konjac glucomannan composite film is prepared by carrying out graft copolymerization on oxidized konjac glucomannan OKGM and amino-functionalized poly (N-isopropylacrylamide) PNIPAM-NH2 and then crosslinking with an antibacterial agent, the tail end of a molecular chain of the amino-functionalized poly (N-isopropylacrylamide) is provided with an amino group. The intelligent antibacterial konjac glucomannan composite film disclosed by the invention has temperature responsiveness, can control the release of an antibacterial agent according to environmental changes, ensures that the antibacterial agent is accurately released as required, and effectively prolongs the food preservation time and the food shelf life. The film is good in biocompatibility, has no obvious toxic reaction on human tissues and cells, and provides possibility for application in the field of biomedicine. Besides, the film has degradability, and the OKGM and the chitosan are natural high polymer materials and can be decomposed into harmless substances by microorganisms in the natural environment, so that the film meets the requirements of environmental protection and is beneficial to reducing environmental pollution.

The invention discloses a fruit juice beverage production monitoring and early warning method and device, and relates to the technical field of food production, and the method comprises the steps: carrying out the correlation division of production nodes on a fruit juice beverage production line, and obtaining a heat and oxidation abnormal correlation node set; configuring a temperature sensor array at each thermal association node to monitor real-time temperature-time data and generate a first early warning signal; and monitoring dissolved oxygen data, a material turbulence state and pipeline pressure at each oxidation associated node, establishing an oxidation intake map sequence, predicting the total oxidation intake and distribution uniformity, and analyzing the influence of oxidation on quality indexes to generate a second early warning signal. The technical problems that in the fruit juice beverage production process, heat imbalance can damage raw material nutrition and affect the sterilization effect, and oxidation can cause color and luster deterioration, taste decline and shelf life shortening are solved, and accurate monitoring, abnormity analysis and early warning of quality related key factors in the fruit juice beverage production process are achieved; and the stable product quality is effectively guaranteed.

The present invention relates to a microbial combination and a fermented milk and the use thereof, in particular to a multi-strain microbial combination, a fermented milk prepared from the microbial combination and the use of the microbial combination in the fermentation of a camel milk. The microbial composition contains at least two of lactic acid bacteria and yeasts derived from traditional fermented milk products in Xinjiang, including Leuconostoc pseudomesenteroides, Lactobacillus rhamnosus, Debaryomyces hansenii and Kluyveromyces marxianus. The microbial composition ensures that industrially fermented camel milk products have the flavor and nutritional functions of naturally fermented sour camel milk, but with higher quality, better safety and significantly prolonged shelf life. The microbial composition has relatively high acidification efficiency, proteolysis capacity and lactose decomposition capability, can improve the unpleasant flavor of camel milk products industrially fermented by using conventional strains, and has wide application prospects in industrial production.

The invention discloses a high-performance polypropylene material for food packaging and a preparation method thereof, and the high-performance polypropylene material comprises the following raw materials by weight: 80-90 parts of polypropylene, 10-15 parts of POE, 5-8 parts of modified montmorillonite, 4-7 parts of a compatilizer, and 0.3-0.5 part of an auxiliary agent. According to the high-performance polypropylene material for food packaging, the montmorillonite subjected to multi-step modification is introduced into a polypropylene matrix, and meanwhile, the POE elastomer and the compatilizer are added, so that the prepared composite material keeps excellent mechanical toughness and processability, and meanwhile, the barrier property of the composite material to gases such as oxygen and water vapor is remarkably improved; the heat resistance and the ultraviolet aging resistance of the material are also remarkably improved, toxic and harmful solvents or auxiliaries are not introduced into the material, the preparation process is stable and controllable, and the strict requirements for long shelf life, high safety and cost control in the field of high-performance food packaging can be met.

The invention relates to an inventory management method and system based on demand prediction. The method comprises the following steps: acquiring sales time sequence data, a point consumption curve, commodity shelf life data, external environment factors and other data; feature extraction is carried out on the integral consumption curve, and demand prediction processing is carried out based on sales time sequence data, integral urgency factors, regional integral density and external environment factors; calculating a safety stock threshold value of each warehouse according to the commodity demand prediction result and the integral urgency factor; and generating an optimal allocation path scheme based on the safe inventory threshold value and the current inventory state, generating a regional promotion scheme according to the commodity shelf life data, the meteorological data and the like, and executing the optimal allocation path scheme and the regional promotion scheme. According to the method, through demand prediction, inventory optimization allocation, promotion strategy collaboration and the like, the accuracy of inventory management is improved, complex demand fluctuation can be effectively dealt with, refined management and control of the inventory are realized, and the flexibility and adaptability of inventory management are enhanced.

The invention relates to the technical field of cold-chain logistics, in particular to a digital collaborative tracing method and system for cold-chain logistics based on the Internet of Things. The method comprises the following steps: binding a unique identifier associated with a batch of goods with at least one Internet of Things sensor; in the process that the goods pass through the supply chain, the at least one Internet of Things sensor is used for continuously collecting environment and state data; transmitting the environment and state data to a data processing platform in real time, and processing the environment and state data by using a hybrid prediction model in the data processing platform so as to dynamically calculate the remaining shelf life of the goods; and outputting the dynamically calculated remaining shelf life, and presenting the information to logistics managers and consumers through a customized data visual interface. The invention aims to reduce corruption, enhance food safety and improve operation efficiency by changing passive monitoring to active intelligent prediction.

The invention relates to polyethylene glycol glycerol ricinoleate granules as well as a preparation method and application thereof. The granules comprise first polyethylene glycol glycerol ricinoleate with an HLB (Hydrophile-Lipophile Balance) value of 17-19, second polyethylene glycol glycerol ricinoleate with an HLB value of 12-14, a carrier and vitamin E acetate. According to the invention, fatty acid and / or hydrogenated vegetable oil are / is taken as a nutritional carrier, and polyethylene glycol glycerol ricinoleate with an HLB value of 12-14 is introduced, so that the dispersity of active ingredients with a high HLB value (17-19) in the carrier is effectively improved, and granulation is facilitated; meanwhile, the vitamin E acetate is added, so that the immunity of animals can be enhanced while the effects of resisting oxidation and prolonging the shelf life of the product are achieved. The granules solve the problems that pure products are not easy to mix, inconvenient to use and the like.

The invention relates to a remote monitoring method and system for food freshness, and the method comprises the steps: obtaining the processing technology data and circulation transportation data of fresh food, and carrying out the shelf life calculation, thereby obtaining the shelf life of the food; performing process detection and abnormity identification on the processing process data to obtain a first detection result; detecting a temperature accumulation value and a transportation state of the circulation transportation data, and performing result integration to obtain a second detection result; and performing response regulation and control according to the food shelf life, the first detection result and the second detection result to obtain remote regulation and control information. According to the invention, fine management of a cross-link risk conduction mechanism can be realized, and on-demand regulation and control and timely intervention can be realized.

The invention provides a dynamic quality monitoring and intelligent regulation and control method and system for a food processing process. The method comprises the following steps: S1, data acquisition; s2, data preprocessing; s3, establishing a quality prediction model; s4, quality monitoring; and S5, intelligent regulation and control. According to the method, the BP algorithm, the RF algorithm, the SVR algorithm and the LSTM algorithm are adopted for closed-loop interaction, and dynamic weight fusion is combined, so that the quality index prediction error is reduced, and the shelf life prediction accuracy is improved; the data acquisition frequency is matched with the time consumed by model calculation, and quasi-real-time prediction of the quality index is realized; empirical operation is replaced by a quantitative regulation and control strategy based on a prediction model, and the fluctuation amplitude of machining parameters is reduced; the prediction result of multi-algorithm fusion provides a reliable basis for regulation and control, the product qualification rate is improved, and the raw material loss rate is reduced.

The invention relates to the technical field of packaging materials, and discloses a high-barrier multilayer co-extrusion composite film which sequentially comprises an inner layer, a first bonding layer, a first barrier layer, a second bonding layer, a second barrier layer, a third bonding layer and an outer layer from bottom to top. And the second barrier layer is a nano silicon dioxide modified polyvinyl alcohol layer. The two different barrier layers are arranged, the first barrier layer has a good barrier effect on gas, the second barrier layer has outstanding barrier performance on water vapor, and the two barrier layers have a synergistic effect, so that the comprehensive barrier performance of the composite film on oxygen, water vapor, peculiar smell and the like is remarkably improved, the shelf life of a packaged product can be effectively prolonged, and the packaging cost is reduced. According to the high-barrier film, the high-barrier property is ensured, the quality and the performance of a product are ensured, and the use of expensive materials and a complex production process is avoided and the production cost is reduced by reasonably selecting each layer of material and optimizing the structural design on the premise of ensuring the high-barrier property.

The invention discloses a preparation method and application of an environment-friendly easily-degradable hydrogel coating, and relates to the technical field of hydrogel coatings. The coating is a coating comprising chitosan, acrylic acid, sericin, silk fibroin, silk peptide, tea polyphenol, a photoinitiator, a plasticizer and a leveling agent. The preparation method comprises the following steps: (1) preparing the coating containing the components; (2) coating the surface of food packaging paper with the coating liquid in a slit coating manner; and (3) performing ultraviolet light initiation to obtain the coating. The hydrogel coating has a synergistic effect with the sericin, the silk fibroin, the silk peptide and the tea polyphenol to form a compact and uniform network structure, so that the water-retaining property, the mechanical strength, the flexibility and the antibacterial property are enhanced; the preservative not only has the advantages of environmental protection and degradability, but also has the functions of moisturizing, antibiosis and preservation, and can significantly prolong the shelf life of food and improve the quality. The environment-friendly packaging paper is applied to food packaging paper, not only conforms to the green packaging trend, but also expands the use scenes of environment-friendly materials in the fields of fresh food, baking and the like.

The invention discloses a low-temperature plasma cold sterilization and fresh-keeping method for a chilled poultry meat product, and particularly relates to a low-temperature plasma cold sterilization and fresh-keeping method for the chilled poultry meat product by virtue of low-temperature plasma activated water (PAW) and dielectric barrier (DBD). The method comprises the following steps: spraying and sterilizing the whole slaughtered and eviscerated poultry meat by virtue of PAW with the temperature close to the freezing point temperature of-1.5 to-2.5 DEG C of the product; the fresh-keeping method comprises the following steps: soaking the fresh-keeping materials in PAW at the temperature of less than or equal to-1.50 DEG C, cooling to the temperature of-1.5 + / -0.5 DEG C, cutting and packaging, carrying out DBD low-temperature plasma cold sterilization under the working voltage of 120-160 kV, and carrying out cold-chain logistics under the condition of the fresh-keeping temperature of-1.0 to-1.5 DEG C, so that the fresh-keeping period is prolonged from 4 days to 15 days. According to the method, PAW and DBD plasma cold sterilization and preservation are adopted at the temperature of the chilled products, the shelf life of the poultry meat chilled products is effectively prolonged on the premise of ensuring the freshness, safety and high quality of the poultry meat chilled products, and industrial innovation and sustainable development are promoted.

The invention discloses a multi-source data-based food quality guarantee period prediction method and system, and the method comprises the steps: repairing food multi-source data to obtain corrected food data, carrying out the anomaly detection to obtain food anomaly factors, carrying out the anomaly evolution to determine the influence degree of the quality guarantee period, inputting the corrected food data into a food influence function to obtain the internal and external influence degrees of the food, and carrying out the prediction of the quality guarantee period. Inputting the corrected food data into a food basic shelf life prediction model to obtain a first predicted shelf life, a historical similar shelf life and a process component deviation, correcting the historical similar shelf life to obtain a second predicted shelf life, obtaining an internal and external influence weight, determining a shelf life influence coefficient, and determining the quality guarantee period. And obtaining a food predicted shelf life according to the first predicted shelf life, the second predicted shelf life and the shelf life influence coefficient. The method not only can improve the efficiency and accuracy of food shelf life prediction, but also has good interpretability, and can be directly applied to a food shelf life prediction system.

Disclosed is a method for reducing the usage amount of edible fat and oil in a bakery product, the method comprising mixing at least one maltose alpha-amylase and edible fat and oil into dough, and baking same to prepare a bakery product. The usage amount of the edible fat and oil in the dough can be reduced by at least 10 wt % compared with not using the enzyme treatment; and the enzyme may also include cellulase and / or phospholipase. The method does not reduce or substantially reduce the quality of the bakery product, and allows same to have a shelf life of at least 4 days. Also involved is baked fat and oil prepared from the above-mentioned enzyme and edible fat and oil.

The present invention discloses a CBP lysine children growth milk powder and a preparation method thereof, and belongs to the technical field of milk powder, the CBP lysine children growth milk powder comprises the following components by mass: a wet process part: 575 parts of whole milk powder, 175 parts of dried skim milk, 175 parts of isomaltooligosacharide (type 50) powder, 30 parts of polydextrose, 28 parts of edible plant blend oil, 4 parts of milk mineral salt, and 13.7 parts of a compound children modified milk powder three-nutrition enhancer; cBP lysine is cooperated with bifidobacterium and seven traditional Chinese medicine extracts, DHA and ARA are accurately proportioned, the calcium absorption efficiency and the intestinal colonization capacity of probiotics are remarkably improved, a three-step mixing method is combined with a two-way shearing low-temperature technology, rapid and uniform mixing is achieved, the activity of the probiotics and the stability of DHA are reserved to the maximum extent, high uniformity of products is ensured, and the product quality is improved. The low-moisture wet-process base powder inhibits moisture absorption of traditional Chinese medicine components, nitrogen protection blocks oxidation in the whole process, the shelf life is prolonged, and the reconstituability is improved.

The invention relates to the field of food processing, and particularly discloses a high-nutrition chili sauce and a preparation method thereof. Comprising the following raw materials in parts by weight: 60-80 parts of chilies, 40-50 parts of agrocybe cylindracea particles, 1.5-2.5 parts of a fermented microbial bacterial solution, 3-5 parts of fresh ginger, 1-3 parts of garlic, 20-25 parts of longan aril, 10-15 parts of asparagus, 5-8 parts of crushed peanuts, 3-6 parts of white sesame seeds and 2-4 parts of condiments. The fermentation microorganism bacterial liquid comprises a lactobacillus plantarum bacterial liquid and a Wickerhamomyces anomalus bacterial liquid in a mass ratio of (2-4): (1-1.5). The high-nutrition chili sauce has the advantages of being long in preservation time and mellow and rich in taste and texture.

The invention relates to the technical field of commodity purchase-sale management, in particular to a commodity purchase-sale-stock real-time management system. The commodity purchase-sell-stock real-time management system is provided. According to the invention, the environment sensing module collects dynamic data during the business period in real time, including the real-time stock of commodities, the remaining time of the shelf life of the commodities, the passenger flow volume of nearly 10 minutes and the like, thereby effectively solving the problem that the data update of a traditional purchase-sales-stock system is lagged, ensuring the real-time accuracy of stock and price information, and improving the real-time performance of the purchase-sales-stock system. Meanwhile, whether the commodities need to be replenished or not is judged in real time through a dynamic analysis module according to a preset safety inventory threshold value, the safety replenishment amount is calculated, the risk of stockout or excessive accumulation is reduced, the inventory turnover rate is increased, a price reduction sales promotion instruction is automatically triggered through the dynamic analysis module according to the real-time risk value of the commodities and the preset threshold value, and the price reduction sales promotion efficiency is improved. The price is quickly refreshed by using the electronic price tag, and the freshness change of the short-term preserved commodity is responded in time, so that the high loss rate is reduced, and the shopping experience of customers is improved.