6723 results about "Biochemical engineering" patented technology

The invention relates to the technical field of microbial fermentation control, in particular to an automatic microbial reaction fermentation control system and a control method. The method comprises the following steps: collecting real-time microbial environment parameters and identifying a data multi-axis structure, extracting master control environment interval data, eliminating redundant signals to generate standard microbial environment data, defining a fermentation degree contrast template through fermentation historical records, and constructing a microbial fermentation timeline framework. The method comprises the following steps: acquiring standard environmental data, identifying a fermentation state of the standard environmental data, constructing a simulated microbial environmental field by using the standard microbial environmental data, performing global microbial reaction simulation, determining fermentation reaction structure partitions based on the data, performing difference comparison to generate fermentation difference data, and performing compensation simulation by using the difference data. And automatic fermentation compensation control of microorganisms is realized. According to the invention, the intelligent automatic control and optimization of the microbial fermentation process are realized, the fermentation efficiency and stability are obviously improved, and the manual intervention is reduced.

The invention belongs to the technical field of agricultural sensing data management and control, and particularly relates to a vision-based multi-modal data fusion intelligent monitoring culture method and system, and the method comprises the steps: obtaining the growth image data and environmental parameter data of a strain based on a multi-sensor information source; identifying the growth image data through a deep learning algorithm, and outputting an image identification result; performing fusion processing on the image recognition result and the environment parameter data through a multi-data fusion algorithm to generate a comprehensive environment evaluation index; importing the comprehensive environment evaluation index and the abnormal state information into a growth environment control model, generating an environment regulation and control instruction conforming to a preset strain growth index, and executing the environment regulation and control instruction through an environment regulation and control module; the system can be used for realizing comprehensive environment monitoring, accurately evaluating the strain growth environment condition, and avoiding errors and one-sidedness caused by a single data source, so that culture environment parameters are dynamically adjusted.

An ML-assisted framework is disclosed that can guide the design of fit-for-purpose separation membranes for resource recovery and clean water production from wastewaters. Approaches and methodologies for executing the work include the integrated components: 1) ML-assisted new polymer screening; 2) development of an interpretable ML model for membrane properties prediction; 3) mechanistic constitutive model; 4) development of a statistical ML model with a combination of proper regularization for membrane performance prediction; 5) separation membrane fabrication and evaluation.

The invention discloses a system and method for identifying microbial contamination in food and cosmetics based on AI identification, and the method comprises the steps: collecting to-be-detected food or cosmetics as a detection sample, and obtaining the bacterial colony growth state of microorganisms in the detection sample; the method comprises the following steps: acquiring a microbial growth image through microscopic imaging equipment, and preprocessing the microbial growth image to obtain a target area of a microbial colony; constructing an AI recognition model by adopting a convolutional neural network, and obtaining the species and quantity of microorganisms in the detection sample; parameters of the AI recognition model are adjusted in real time according to the types and the number of the microorganisms, a preset microorganism limited standard threshold value is combined, a visual analysis report is generated, the AI recognition model is combined with a Faster R-CNN target detection method, precise classification and number statistics of the types of the microorganisms are achieved, a complete microorganism pollution analysis report is formed, and the method is suitable for popularization and application. And the accuracy and scientificity of the final identification result are improved.

The invention discloses a dry-type transformer. The dry-type transformer comprises a transformer body, a housing, a bottom plate and a fan, wherein the transformer body is formed by a plurality of groups of encapsulated windings in an array mode, a supporting rod is arranged at the bottom of the transformer body and allow the encapsulated windings in each group to connect with each other, the supporting rod is arranged in a crossed mode, and first threaded holes penetrate the supporting rod; the transformer body is integrally arranged in the cavity of the housing, and the bottom of the transformer body is fixedly positioned with the bottom plate, and meanwhile, the transformer body is arranged in the housing through the fan, the whole device achieves dispelling the heat in the transformerbody, and the graphite material of housing side is protruding simultaneously, and the heat from the housing is diffused quickly, and the protrusion of the array distribution can reduce the air great dust entering the inner wall of the housing through air vents.

The invention discloses an intelligent regulation and control method for a tea fermentation process and a regulation and control system based on microbial activity monitoring, and relates to the technical field of tea processing. According to the method, microbial activity and environmental parameters are monitored in real time, and a microbial metabolism model and a neural network algorithm are combined, so that dynamic optimization and accurate regulation and control of the tea leaf fermentation process are realized, firstly, microbial activity data and environmental parameters in a fermentation environment are collected by utilizing a sensor array; the method comprises the following steps: firstly, calculating a metabolite generation rate and a concentration change trend through a microbial metabolism model, accurately identifying abnormal fluctuation in a fermentation process, secondly, adjusting fermentation conditions in real time based on the metabolite concentration change trend and a dynamic regulation and control algorithm to ensure the stability of the fermentation process, and finally, carrying out real-time fermentation. Tea quality parameters after fermentation condition adjustment are predicted through a neural network algorithm, a regulation and control strategy is optimized, and stable improvement of tea quality is achieved.

The invention relates to the technical field of biochemical culture, in particular to a biochemical incubator with multiple bins and a method thereof.The biochemical incubator comprises a case, a cavity is formed in the middle of the case, the cavity is divided into a plurality of culture bins by a plurality of partition plates, treatment cavities are formed in the two sides of the cavity, protective shells are connected to the outer sides of the treatment cavities, and storage assemblies are arranged in the culture bins; the storage assembly comprises a movable bottom plate and three groups of longitudinal partition plates; the longitudinal partition plate divides the movable bottom plate into two storage cavities, storage tables are arranged in the storage cavities, and the movable bottom plate is driven by the pushing assembly to move left and right and used for alternately feeding the two storage tables into the culture bin; two groups of sealing covers are arranged outside the storage table, and are driven to be opened or closed by a turnover assembly; according to the incubator, pollution-free conveying of materials is achieved, and meanwhile the stability of environmental parameters of all the bins is maintained; the culture method ensures that different batches of samples are cultured in an independent environment, and cross contamination between microorganism or cell samples is avoided.

The invention discloses an oxidation-reduction free radical synergistic electrochemical wastewater treatment method and system. The method comprises the following steps: collecting pollutant concentration in wastewater and electrochemical reactor state parameters in real time through a sensor array; analyzing a pollutant change trend based on the data, and determining an optimization target value of an active substance generation proportion in combination with historical data; the trained classification model is used for classifying the water body state, and whether dynamic adjustment is needed or not is judged; if necessary, calculating the state parameter correction according to the deviation between the target value and the actual value, and adjusting the operation of the reactor; and monitoring the adjusted active substance proportion and degradation efficiency, and dynamically updating the optimization target according to the adjusted active substance proportion and degradation efficiency and the pollutant trend to realize continuous self-adaptive regulation and control. The intelligent closed-loop control of the reaction parameters is realized, the stability of the treatment efficiency is obviously improved, and the energy consumption and the risk of secondary pollution are effectively reduced.

The embodiment of the invention discloses a method for extracting extracellular vesicles from a traditional Chinese medicine dry product. The method comprises the following steps: taking a dry traditional Chinese medicine product as a raw material, and sequentially performing crushing, soaking, first-order enzymolysis, wall breaking, differential centrifugation, second-order enzymolysis, high-speed centrifugation, ultracentrifugation and ultrafiltration enrichment to obtain the extracellular vesicles. A two-step enzymolysis method is adopted in the enzymolysis process, impurities are removed to the maximum extent in a sequence difference enzymolysis mode, and the structure and function stability of the exosome are protected. According to the invention, the differential centrifugation and the enzymolysis method are alternately used, so that impurities with different sizes and different properties can be removed more thoroughly. According to the method, the cost is strictly controlled, the exosome purification efficiency is relatively high, the concentration of the obtained dry exosome is relatively high, and the operability is extremely high.

The invention discloses an intelligent gradient extraction process and method for nutritional ingredients in yak bone marrow, and belongs to the technical field of bioactive substance extraction. The extraction method comprises the following four steps: gradient pressure supercritical degreasing, double-enzyme synergistic gradient enzymolysis, acid concentration gradient demineralization and temperature gradient gelatin extraction, and through the process coupling design of gradient pressure degreasing, buffer enzymolysis, graded acidolysis and membrane separation of gelatin, the high yield of the product in the previous stage is ensured; active structures of follow-up components are reserved to the greatest extent. Meanwhile, a sensing-decision-execution closed-loop system is constructed, real-time data sources such as NIR moisture sensing, online OPA detection and XRD in-situ analysis are integrated, technological parameters are dynamically adjusted through a multi-objective optimization algorithm, and global optimization of the yield, the purity and the energy consumption is achieved.

The invention relates to the technical field of microbial separation, in particular to an efficient targeted separation device and method for environmental functional microorganisms. The device comprises an environmental sample preset culture module and an intelligent detection and feedback regulation module which are arranged in a box body, the preset culture module is used for culturing a pretreated target environmental microorganism sample, the intelligent detection and feedback regulation module is used for detection every certain period of culture, and the sample is obtained through automatic separation until the sample is completely cultured. The device can realize efficient culture and separation of target environmental functional microorganisms, avoids sample loss and pollution risk, remarkably improves the standardization degree and efficiency of the culture process, and solves the problems of low efficiency, poor accuracy, limited separation quantity and insufficient standardization of environmental functional microorganisms in the prior art.

The invention discloses a method for efficiently separating and purifying plant exosomes and application, and belongs to the technical field of biological nanotechnology. The method comprises the following key steps: (1) performing sterile cleaning on plant raw materials, and then performing peeling or tissue slitting pretreatment; (2) carrying out mechanical crushing treatment by adopting a phosphate buffer solution (PBS), and filtering through a 200-mesh screen to obtain a primary extracting solution; (3) performing gradient centrifugal purification on the extracting solution, collecting supernate, and filtering the supernate through a 0.45 mu m microporous filter membrane; (4) adding 8-12% of polyethylene glycol for low-temperature phase separation and precipitation; (5) purifying by using an electrodialysis technology; and (6) carrying out final concentration by adopting a 100kDa ultrafiltration membrane to obtain the high-purity PELNs preparation. According to the method, the process, equipment and reagents are simple and easy to obtain, the final yield is high, the purity is high, particle size distribution is uniform, and an innovative solution is provided for large-scale industrial production of natural-source nano-drug carriers.

The invention discloses a preparation method of high-purity diiodosilane, which comprises the following steps: firstly, preparing a p-phenylsilane solution from phenyl trichlorosilane and sodium hydride as raw materials, rectifying and purifying the p-phenylsilane solution, directly reacting the p-phenylsilane solution with iodine to generate diiodosilane, and reacting phenylsilane with iodine to directly generate diiodosilane; in the process of preparing diiodosilane from phenylsilane, conditions are mild, the reaction process is controllable, the reaction time is shortened by controlling the temperature in the synthesis process and increasing the pressure of a reaction system, hydrogen iodide overflow is reduced, sodium hydride is adopted as a reducing agent in the reaction process, and the yield of diiodosilane is increased. The solid waste can be recycled, the cost can be effectively reduced, and industrialization of diiodosilane is facilitated.

The invention relates to the technical field of automatic control, in particular to a monitoring method and system for synthesizing ceramide based on alpha-hydroxy fatty acid, and the monitoring system for synthesizing ceramide based on alpha-hydroxy fatty acid comprises a raw material feeding module, a reaction control module, a quenching-crystallization joint control module and a data integration module; carrying out dynamic weighing monitoring on the raw materials based on the received synthesis instruction, and starting a reaction kettle according to weighing data; performing multi-dimensional data acquisition in real time according to the set reaction data, and performing dynamic feeding control according to the set reaction data; when the TLC detection substrate reaction is completed, the cooling process and the crystallization process are regulated and controlled in real time according to the reaction data until the end point judgment standard is met; according to a received synthesis completion instruction, product quality data is obtained, a monitoring data packet is generated, the synthesis instruction is marked and then stored, process control is accurately monitored and controlled, and the purity and crystal form of the product are ensured.

The invention discloses a high-activity enzyme, a screening method and application, which combine far-end potential site saturation test and iterative screening to accelerate the development of high-thermal-stability and high-activity bio-enzyme and effectively solve the problems of complicated screening steps and limited screening range of the existing high-activity bio-enzyme. The mutant obtained through strategy transformation can be used for efficiently synthesizing pharmaceutical chemicals and has relatively high industrial production application value.

The invention discloses a preparation method of second-generation denitrified flavin TND1128, which comprises the following steps: S1, by taking 1-methylbarbituric acid and o-aminobenzaldehyde as raw materials and a mixture of water and alcohol as a solvent, heating and reacting to generate an intermediate I; s2, taking the intermediate I as a raw material, and performing ethylation under the combined action of inorganic alkali and an ethylation reagent to generate a TND1128 crude product; s3, the TND1128 crude product is purified, and a TND1128 pure product is obtained; according to the invention, 1-methylbarbituric acid and 2-nitrobenzaldehyde are taken as raw materials for cyclization synthesis of an intermediate I, then ethylation and pulping purification are carried out under the combined action of inorganic base and an ethylation reagent, and high-purity TND1128 is synthesized in a high-yield, high-specificity and high-selectivity manner; the method has the advantages of simple process route, good reaction selectivity, high yield, cheap and easily available raw materials, low equipment requirement, easy realization of industrial production and the like.

The invention belongs to the technical field of microbial fermentation optimization, and provides a microbial fermentation optimization method and system based on a data analysis model, and the method comprises the following steps: collecting fermentation parameters in a microbial fermentation process in real time, preprocessing the fermentation parameters, and constructing the data analysis model; the comprehensive characteristic change and key events of fermentation parameters are analyzed and fused to obtain an adaptive coefficient, and the size of a data sliding window is dynamically adjusted according to the adaptive coefficient; and performing model training according to the adjusted fermentation parameters in the new data sliding window to obtain an updated data analysis model. According to the method, in a microbial fermentation process, a fixed data window is difficult to balance detail capture and global trend analysis, so that the response of a model to a key event is lagged or over-fitted, and in a second step, the defect of the fixed window is optimized by dynamically adjusting the size of the window through a self-adaptive mechanism combining data driving and key event definition.

The invention relates to the technical field of public health safety, and discloses a quantitative evaluation method and system for pathogen transmission risk, and the evaluation method comprises the following steps: step 1, obtaining virulence genes, reference virulence genes, environmental parameters, transmission factors and host risk factor parameters of pathogen samples; 2, performing variation detection on the virulence gene by adopting various variation detection algorithms to obtain all variation sites, and processing all variation sites to obtain effective variation sites; 3, constructing a virulence index model, inputting the variation distance into the virulence index model, and calculating the virulence index of the pathogenic bacteria sample; and 4, constructing a propagation risk assessment model, inputting the virulence index, the environmental factor, the propagation coefficient and the host susceptibility risk index into the propagation risk assessment model, and outputting a risk value by the propagation risk assessment model. According to the method, accurate prediction of the pathogen transmission risk can be realized.

The invention discloses a multi-factor coupling ganoderma lucidum environment digital twinborn regulation and control method oriented to high-yield requirements, particularly relates to the technical field of intelligent cultivation of edible mushrooms, and is used for solving the problems of equipment action oscillation and recessive physiological stress caused by physiological response hysteresis of ganoderma lucidum in an existing environment regulation and control system. Carbon dioxide concentration and illumination intensity predicted values are generated in real time by constructing ganoderma lucidum growth digital twins, and an oxidative stress mark is activated by combining hypha respiratory entropy matching degree analysis and an active oxygen accumulation curve; when the matching degree exceeds a threshold value and oxidative stress exists, a metabolic overload signal is generated, and whether the carbon dioxide predicted value is in a physiological hysteresis interval or not is judged; delay compensation and metabolic overload suppression coefficient adjustment are performed on the carbon dioxide predicted value in the delay interval; and finally, inputting the compensated carbon dioxide value and the illumination prediction value into an environment factor coordination rule base, generating a ventilation opening degree and light supplementing power instruction to drive execution equipment, and ensuring the morphological development stability of the sporocarp and the synthesis efficiency of the active component.

The invention relates to the technical field of automatic control, and discloses an automatic control method and system for production of a blood-sugar-reducing egg fermented feed. The method comprises the following steps: intelligently identifying raw materials, accurately proportioning, acquiring digital fingerprints by using multiple groups of sensors, and performing double-speed blanking to realize proportioning; feeding the materials into a parameterized mixing system, and performing multi-stage variable-speed stirring to generate a parameter report; self-adaptive fermentation, multi-point sensing monitoring and self-adaptive PID adjustment are carried out according to report conditions to obtain a fermentation material; and performing post-processing to obtain a feed product and a digital file. The technical problems of accurate identification and intelligent proportioning of raw materials in the production process of the blood-sugar-reducing egg fermented feed, uniformity control and accurate regulation and control of fermentation conditions in the mixing process of the functional feed and full-flow digital management and quality tracing of the blood-sugar-reducing functional feed are solved.

The invention relates to the technical field of feed ingredient optimization, in particular to an ingredient optimization and adjustment system for a phage type antibiotic-free feed additive. Comprising the following steps: acquiring multi-dimensional environmental data and antibody content indexes and stress state information of individuals; determining a health index according to the antibody content index and the stress state information; performing batching delay analysis according to the change of the health index, and determining a lag moment; determining an effect coefficient in combination with the lagging time and the health index, determining the influence degree of the environmental data of each dimension on the batching effect, and screening to obtain an influence environmental dimension in combination with the influence degree of the environmental data of all dimensions on the batching effect and the predicted value of the environmental data in the next batch; and adjusting the ratio of additives in the same feeding stage in the next batch based on the influence environment dimension. According to the method, the ingredient adjustment logic can be optimized, and the adaptability of ingredients in a multi-dimensional complex scene is improved.

The invention relates to the technical field of organic synthesis, and discloses a preparation process of (S)-3-aminobutyronitrile hydrochloride, which comprises the following steps: by taking a compound S1 as an initial raw material, sequentially implementing chlorination, amino protection, cyano substitution and deprotection reaction through four-step continuous reaction (M01 preparation, M02 preparation, M03 preparation and M04 preparation), and finally obtaining the high-purity (S)-3-aminobutyronitrile hydrochloride. The preparation process disclosed by the invention is simple and convenient to operate, mild in reaction condition, stable in yield of each step, high in safety and suitable for industrial large-scale production, and can be used for carrying out standard treatment on the cyanide-containing wastewater, and has a relatively good application prospect.

According to the nucleic acid extraction and detection device and the use method, by forming a plurality of communicating holes and taking a rotary valve as a communicating medium, communication among functional chambers is achieved, then sample transfer is achieved, the whole transfer process is completed in an internally-closed environment, sample pollution is not caused, and the detection efficiency is improved. The rotating cover and the rotating valve rotate synchronously, and the rotating cover is also closed when the rotating valve is closed, so that the sealing performance of the cavity in the uniform mixing and reaction process is ensured, and the stability of a pre-stored reagent and the safety of the reaction process are ensured; the sample transfer step is reduced, the pollution risk is reduced, the whole process is completed only through manual operation without a power supply or other equipment, and the method can be used for household self-inspection or in areas with limited resources or even in extreme environments without power supply.

The invention provides a rapid nondestructive quality detection method and device for aquatic products, and relates to the technical field of food safety detection, and the device comprises a spectral analysis module, a biosensing module, an electrochemical detection module, a data processing module, a data output module and a portable device. According to the rapid nondestructive quality detection method and device for the aquatic products, multi-index synchronous detection of freshness, drug residues and heavy metal content of the aquatic products is realized through fusion of spectral analysis, biosensing and electrochemical detection technologies.

The invention discloses a food safety pretreatment and detection device and method, and relates to the technical field of food detection.The device comprises a box body, a control module, a pretreatment module and an ATP biological fluorescence detector, the control module is integrated on the box body, and the pretreatment module is integrated on the box body; the control module comprises a microcomputer control system, a visual operation panel, a nixie tube display and a key regulator; the pretreatment module comprises a concentrator for purging and concentrating a sample, a centrifugal machine for separating the sample, a uniform mixing instrument for uniformly mixing the sample and a water bath kettle for performing constant-temperature incubation on the sample; the ATP biological fluorescence detector is integrated in the box body and is used for carrying out microbial pollution detection on the food contact surface; the control module is suitable for adjusting and controlling operation parameters through the key adjuster when any unit in the concentrator, the centrifugal machine, the blending instrument or the water bath kettle operates, and the operation parameters are displayed on the visual operation panel in real time. The invention further provides a detection method, and on-site, rapid and intelligent food safety detection is achieved.

A system for automated extraction of biological samples from a set of biological samples has a small footprint and minimal movement of consumable sets, thereby reducing potential contamination during the extraction process. The extraction system includes a set of reaction tubes, a storage unit for storing a set of consumables, a sample preparation unit, a sample extraction unit, a waste unit, a plurality of robots for moving the tubes, samples, and cassettes, and a programmable control system programmed to process the samples in a serial mode in which a series of samples are processed sequentially in time one after another, thereby maintaining a continuous mode. Thus, a fixed processing turnaround time for each sample is maintained regardless of when the sample starts processing.

The invention discloses a Fuzhuan tea fermentation environment intelligent monitoring system based on AI optimization, and relates to the technical field of Dendrobium huoshanense processing, and the Fuzhuan tea fermentation environment intelligent monitoring system comprises the following steps: monitoring a fermentation environment in real time, and obtaining environment monitoring data from each sensor according to a preset time interval; by monitoring the fermentation environment, based on the AIAI analysis module, the environment fluctuation prediction model and the fermentation state evaluation model are constructed, the prediction of the fermentation environment change trend and the accurate evaluation of the fermentation state are realized, and according to the combination of the environment data prediction value, the stage change rate and the real-time environment monitoring data, the evaluation of the fermentation state is realized. The stage fermentation state of Fu tea fermentation is judged, overall analysis of the fermentation state is carried out, a fermentation stage state instruction of the environment is generated, basic operation parameters of equipment are automatically and dynamically adjusted according to the state instruction, intelligent and automatic regulation and control of the fermentation environment are achieved, and the Fu tea fermentation environment can be accurately monitored and regulated and controlled in real time. The fermentation is carried out in an optimal environment.

The invention discloses a hydrogel chip as well as a preparation method and application thereof. The hydrogel chip comprises a chip shell, a hydrogel array and a sample flow channel, wherein the hydrogel array and the sample flow channel are arranged in the chip shell. The hydrogel chip provided by the invention is simple in manufacturing process, convenient to use and low in preparation cost, can realize ultra-multiple pathogen detection, can perform PCR, melting curve analysis and real-time quantitative PCR, can flexibly set detection items according to actual requirements, is high in expandability, can realize multi-target rapid detection, is simple to operate, and is suitable for large-scale popularization and application. And the hydrogel chip is a totally closed reaction system, so that pollution can be effectively prevented.

The invention provides a compound disinfectant for preventing and treating aquaculture virus diseases and a preparation method thereof. The composite disinfectant is prepared by introducing polyhexamethylene guanidine or a salt thereof, a quaternary ammonium salt compound, metal nanoparticles and an auxiliary agent into a water system as main raw materials, and is prepared by the following steps: adding a quaternary ammonium salt compound solution and a penetrating agent into a polyhexamethylene guanidine or salt solution thereof, and uniformly stirring and mixing to obtain a mixed solution A; slowly dropwise adding the metal nanoparticle dispersion liquid into the mixed solution A, starting ultrasonic treatment at the same time, and uniformly stirring and mixing to obtain a mixed solution B; dropwise adding the pH regulator solution into the mixed solution B, regulating the pH, adding the preservative solution, supplementing water, uniformly mixing, standing and curing to obtain the composite disinfectant. The compound disinfectant aims at achieving synergistic interaction, finally achieves the comprehensive prevention and treatment effects of being efficient, low in toxicity, broad in spectrum and not prone to inducing drug resistance, and particularly achieves efficient and safe prevention and control on fish, shrimp and crab virus diseases so as to meet the urgent requirement for healthy aquaculture.

The invention discloses a construction method and system for volatile organic compound release behavior characterization, and belongs to the technical field of air analysis and risk assessment. According to the method, feature analysis is carried out based on multi-source information such as a molecular structure, a release carrier and environmental conditions, modeling is carried out on a release process by utilizing a mapping operator, and a three-dimensional representation vector V = [I, S, E] reflecting release intensity, environmental sensitivity and time evolution is constructed. The representation is output in a behavior vector or digital label mode, and unified quantitative benchmarking of different substances in a cross-scene mode is achieved. According to the method, depth characteristics such as molecular polarity and desorption activation energy are introduced, so that the dependence on long-period environmental chamber experiments is reduced, the generalization prediction capability on unknown pollutants is improved, the logic connection problem between a bottom-layer physical mechanism and an upper-layer intelligent management and control system is solved, and the reliability of the system is improved. And standardized and explainable behavior input is provided for prospective risk research and judgment.