489 results about "Microbial metabolism" patented technology

The invention provides an agricultural source solid waste pollution reduction and carbon reduction synergistic effect calculation method and system. According to the agricultural solid waste pollution reduction and carbon reduction synergistic effect calculation method, a livestock and poultry manure and straw mixture serves as a treatment object, an environmental parameter set of microbial metabolism intensity is obtained, and then a microbial agent feeding acceleration rate and a flora activity attenuation curve are dynamically matched. In the aerobic fermentation stage, through linkage of pile turning operation and a microbial inoculum adding strategy, activity balance of surface and deep flora is maintained, and a microbial inoculum adding time window is corrected in combination with historical data. And establishing a quantitative model with a carbon-nitrogen ratio imbalance threshold value as a constraint, iteratively optimizing a nonlinear association relationship between the inoculant feeding acceleration rate and the pile turning operation frequency, and outputting a full-period synergistic effect evaluation result. According to the technical scheme, the pollution reduction and carbon reduction synergistic effect of agricultural source solid waste treatment is improved, and the dual purposes of resource utilization and environmental protection are achieved.

The invention discloses a machine learning-based soil pollution risk assessment method and a machine learning-based soil pollution risk assessment device, and belongs to the technical field of soil pollution risk assessment. The split biological effect and chemical indexes in traditional evaluation are converted into unified risk driving force measurement. A nonlinear interaction entropy calculation mechanism can adaptively capture an antagonism-collaborative balance relationship between microbial communities and pollutants in a soil environment, so that the degradation potential of functional flora on specific pollutants is reflected, and the dynamic regulation effect of environmental factor fluctuation on bioavailability is quantified. According to the cross-scale feature fusion technology, the evaluation model not only can identify the current pollution space distribution, but also can pre-judge the morphological transformation trend of pollutants in biogeochemical circulation, and provides a quantitative basis with ecological interpretation for risk early warning.

The invention relates to the technical field of sewage treatment, in particular to a sewage treatment control process based on dynamic regulation and control of aeration and carbon source addition, which comprises the following steps: acquiring microbial metabolism heat change data in real time; biochemical treatment: monitoring the dielectric constant of a water body and the Reynolds number of sewage flow in real time, and constructing a multi-parameter coupling regulation and control model and dynamically regulating and controlling the aeration rate in combination with microbial metabolism heat change data obtained in the pretreatment step; accurately adding the carbon source according to a calculation result of the carbon source demand prediction model; sewage subjected to biochemical treatment is subjected to ultrafiltration through a nanofiber membrane and then subjected to combined disinfection treatment through ultraviolet rays and ozone, treatment parameters are regulated and controlled in real time according to the membrane flux attenuation trend in the treatment process, and dynamic and accurate control over sewage treatment is achieved. According to the method, the problem of energy consumption waste caused by excessive aeration or low degradation efficiency caused by insufficient aeration in a traditional process is solved, and accurate matching of dissolved oxygen supply and microbial requirements is realized.

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 discloses a large-scale pig breeding wastewater purification treatment system, and relates to the technical field of wastewater treatment.The large-scale pig breeding wastewater purification treatment system is characterized in that the ion concentration of anaerobic liquid is monitored through a multi-ion sensing array, and a multi-channel feeding system is controlled to synthesize customized struvite compound fertilizer; the AI prediction control unit predicts the optimal medicament dosage and realizes millisecond-level closed-loop regulation; the multi-dimensional synergistic biochemical treatment module comprises an A / O biochemical treatment unit and an electric field enhanced anaerobic ammonia oxidation reactor, the electric field enhanced anaerobic ammonia oxidation reactor applies a direct-current electric field through an electrode pair, and engineering conductive biochar is used as a carrier to accelerate microbial metabolism; the sludge low-temperature pyrolysis self-consistent circulation module is used for pyrolyzing and converting residual sludge into biochar, biofuel and wood vinegar, and the biochar activation treatment unit is used for preparing engineering conductive biochar and forming a substance closed loop through a self-consistent circulation conveying system; and the digital twinning intelligent management and control platform realizes intelligent management and control of the system.

The invention provides a treatment method of ammonia-nitrogen-containing wastewater, and belongs to the technical field of wastewater treatment. The preparation process comprises the following steps: preparing the wastewater treatment agent; preparing an immobilized microbial compound; and treating the ammonia-nitrogen-containing wastewater. According to the immobilized microbial carrier prepared by the invention, a stable dual-network structure and proper pore channels are formed through the synergistic effect of the polyvinyl alcohol, the carboxymethyl chitosan and the polyurethane; secondary cross-linking significantly enhances the stability of the carrier, optimizes internal pore channels, and is beneficial to attachment and proliferation of microorganisms; after the corn straw biochar is modified by Ca / Al, the specific surface area and functional groups are increased, and the physicochemical adsorption of ammonia nitrogen is enhanced. The three are combined, and ammonia nitrogen in wastewater is efficiently removed through synergism of carrier adsorption and microbial metabolism.

The invention relates to the technical field of the Internet of Things, in particular to a rice wine fermentation monitoring system based on the Internet of Things, in the rice wine fermentation monitoring system, a model construction module fuses a material heat conduction and gas diffusion equation to form a physical field calculation substrate, and a metabolic environment dynamic coupling function is embedded to generate a joint calculation model; the inversion analysis module takes temperature and humidity data of the sensor as boundary constraint, microbial metabolic rate parameters are iteratively corrected through reverse parameter optimization, a global metabolic activity spatial distribution field is generated, and the limitation of traditional point-like monitoring on spatial heterogeneity perception is broken through; the deduction and prejudgment module initializes a model through the active field, outputs a double-change curve of the temperature field and the active gradient, captures a critical mutation point, and then generates a targeted control signal based on space coordinates and a prejudgment time window, so that advanced regulation and control of the key turning point are realized, and the fermentation stability and the flavor quality are maintained.

The invention belongs to the technical field of wastewater treatment, and provides a wastewater treatment equipment remote control system based on the Internet of Things, which aims at solving the problems that the traditional fixed DO concentration control cannot adapt to water inlet load fluctuation, the effluent is easy to be substandard or the aeration energy consumption is high, the monitoring data noise is large, and the time sequence is misplaced. According to the scheme, a multi-dimensional real-time sensing network is constructed, flow, COD, BOD, ammonia nitrogen, water temperature, distributed DO and sludge activity sensors are deployed, discrete wavelet transform is adopted for noise reduction, and a data time sequence is aligned; a three-layer load-DO-energy consumption dynamic correlation model is designed, a basic layer predicts a load trend through LSTM, a middle layer quantifies a DO demand through a microbial metabolism model, and an optimization layer outputs an optimal DO set value through a PPO algorithm; and developing a dynamic decision-making system, adaptively generating a DO interval according to a load state, and adjusting fan parameters and number in a linkage manner. According to the invention, load dynamic adaptation is realized, effluent ammonia nitrogen is guaranteed to reach the standard, aeration energy consumption is reduced, and remote control precision and equipment operation efficiency are improved.

The invention relates to the technical field of food safety detection, and discloses a konjac food safety detection and analysis system based on the Internet of Things, which comprises an edge intelligent sensing layer, a pollution field dynamic reconstruction engine and a lightweight block chain data layer, and is characterized in that microbial metabolite and surface component information is collected in real time through a multi-modal sensor array; a dynamic threshold self-adaptive algorithm is combined, the detection sensitivity is intelligently adjusted according to different processing stages, the recognition accuracy of dynamic pollution is improved, a pollution field dynamic reconstruction engine adopts a space-time correlation modeling and transfer learning algorithm, a continuous pollution concentration field is formed, the diffusion trend is predicted, and the detection accuracy is improved. Meanwhile, the self-healing logic chain can reconstruct a pollution field when local nodes are abnormal, it is ensured that monitoring is not interrupted, a block chain double-chain structure is matched with an intelligent contract mechanism, and dynamic balance of enterprise self-inspection data privacy protection and supervision traceability verification is achieved.

The invention relates to the technical field of sewage treatment automatic control, and discloses a control system for a sewage treatment plant, which comprises a multi-modal biosensing module, the multi-modal biosensing module is deployed in an anaerobic zone and an aerobic zone of a biochemical reaction tank, and a cloud edge collaborative data processing module comprises an edge calculation module and a cloud optimization platform. The edge calculation module preprocesses data collected by the multi-mode biosensing module and executes emergency control, the cloud optimization platform operates the multi-target dynamic optimization module and the digital twin model, and the self-adaptive decoupling controller receives control parameters output by the multi-target dynamic optimization module. By deploying the multi-modal biosensing modules in the anaerobic zone and the aerobic zone, the real-time acquisition of biochemical reaction parameters of each zone along the way is realized, and the microbial metabolic activity change in the biological reaction process can be accurately captured in combination with the pretreatment of the edge calculation module and the analysis of the cloud optimization platform.

The invention discloses a prediction system for relevance between seafood seasoning flavor substances and microbial metabolism, and relates to the technical field of food flavor adjustment. The data acquisition module is used for collecting multi-source data by using a self-adaptive sensor network and self-adaptively adjusting the sampling frequency; the data preprocessing module adopts a hierarchical nested architecture and analyzes and extracts features; the relevance model constructs a deep heterogeneous network model fused with a space-time attention mechanism; the model training module is trained by using a meta-learning and reinforcement learning combined strategy; the prediction module improves the prediction accuracy through integrated learning; and the result visualization module adopts a VR / AR technology to realize checking and real-time early warning. According to the method, the correlation between microbial metabolism and flavor substances is accurately predicted, the uncertainty of the product flavor is reduced, the production process is optimized, the product quality and efficiency are improved, and by means of the advanced visualization technology, personnel can conveniently understand the mechanism and handle problems in time, and industrial intelligence is promoted.

The invention provides a coal gangue-based soil matrix as well as a preparation method and application thereof, and belongs to the technical field of ecological restoration. According to the invention, the coal gangue with continuous gradation is adopted, so that the coal gangue-based soil matrix has the particle size distribution of natural soil; urea is added to adjust the carbon-nitrogen ratio of the coal gangue and the biomass waste, and a microbial agent is added for pre-curing, so that the microbial activity is improved, complete decomposition of organic matters is promoted, and formation of water-stable aggregates is promoted; multi-layer root plants are planted together and inoculated with fungi, formation of water-stable aggregates is promoted through root interpenetration and a hypha network, meanwhile, the nutrient circulation efficiency is improved together with root exudates and microbial metabolism, and nutrient release is more balanced. Through multi-dimensional symbiotic regulation and control, the coal gangue-based soil matrix has particle size distribution of natural soil, nutrient balance, high water-stable aggregate content and organic matter content, and is more beneficial to ecological restoration.

The invention discloses a Fe / C loaded membrane module, a PN / A-MABR autotrophic nitrogen removal device, a preparation method and a sewage treatment method, and belongs to the technical field of sewage treatment. According to the invention, the problem that the treatment effect is influenced by NO3 <->-N accumulation in the existing membrane aeration coupling partial nitrification-anaerobic ammonia oxidation process is solved. Comprising a frame and a membrane body attached to the outer portion of the frame, the membrane body comprises a hydrophobic organic membrane layer, an iron-carbon material layer and a biological membrane layer which are sequentially arranged, and the hydrophobic organic membrane layer is attached to the outer portion of the frame. The iron-carbon material is added between the hydrophobic organic membrane layer and the biological membrane layer, the iron-carbon micro-electrolysis process is coupled with the dissimilatory process of nitrate generated by microbial metabolism, the removal of NO3 <->-N generated by anaerobic ammonia oxidation is enhanced, and the total nitrogen removal efficiency is improved.

The invention discloses a coupling model framework for simulating nitrogen dynamics in a flowing water ecosystem and a construction method of the coupling model framework, and relates to the technical field of environmental protection, including hydrodynamic flow, substance diffusion between environmental media and microbial metabolism, and the construction method of the coupling model framework comprises the following steps: (1) establishing a hydrodynamic model; (2) establishing an inter-environmental-medium nitrogen transmission diffusion model; (3) establishing a gene center model of metabolism of inorganic nitrogen and organic nitrogen; (4) constructing a nitrogen dynamic numerical simulation system in the flowing water ecosystem in a coupling manner; and (5) decoupling a dominant factor and a nitrogen conversion mechanism of a nitrogen dynamic state in the quantification system. By simulating the nitrogen dynamic state of the flowing water ecosystem, dominant factors and a nitrogen conversion mechanism of the nitrogen dynamic state in the water ecosystem can be accurately described, so that effective suggestions can be provided for nitrogen dynamic regulation and control and eutrophication management and control of the water ecosystem.

The invention belongs to the technical field of water treatment, and particularly provides a nitrogen-oxygen co-doped hypha / spruce composite adsorption material and a copper-containing sewage treatment method. According to the invention, the copper-containing sewage is pretreated by using the solid fermentation product, and then the copper-containing sewage is post-treated by using the nitrogen-oxygen co-doped hypha / spruce composite adsorption material prepared under specific conditions; wherein in the pretreatment stage, microbial metabolites in a solid fermentation product preliminarily capture free copper ions (Cu < 2 + >) through complexation, the toxicity of the sewage is reduced, and meanwhile, the copper ions are partially converted into a form which is easier to adsorb. In the post-treatment stage, the nitrogen-oxygen co-doped hypha / spruce composite adsorption material plays a key role, and efficient interception and adsorption of copper ions are achieved. In conclusion, the treatment method for the copper-containing sewage comprises a pretreatment stage and a post-treatment stage, the two stages are in synergistic interaction, and finally the removal rate of the heavy metal copper can be effectively increased.

The invention relates to the technical field of microorganism monitoring, and particularly discloses a wetland microorganism activity monitoring method and system.The method comprises the steps that a plurality of first time sequence data sets of different layers and related to different wetland state parameters are obtained; analyzing and acquiring a parameter change mode of each layer according to the first time sequence data set; similarity matching is carried out based on the parameter change mode and a pre-constructed parameter correlation model library, so that microbial metabolism modes of different layers are determined; determining an activity evaluation mode of the microorganisms in the corresponding layer based on a microorganism metabolism mode; generating an activity evaluation result according to the activity evaluation mode and the first time sequence data set; according to the method, the biological action signal and the non-biological process signal are distinguished, the evaluation accuracy is improved, the activity evaluation mode corresponding to the metabolism mode is determined based on the identified metabolism mode, and the difference of evaluating the activity of microorganisms in different metabolism pathways by adopting one index is avoided.

The invention relates to a functional gene abundance-based river nitrogen concentration simulation method, which comprises the following steps of: 1, determining a nitrogen conversion process related to a model according to environmental condition characteristics of a river; 2, determining functional genes and chemical substances involved in the model according to the selected nitrogen conversion process, and obtaining the abundance of the involved functional genes and the concentration of the chemical substances through on-site sampling and monitoring; and step 3, combining the functional gene abundance change equation and the chemical substance concentration change equation, inputting the functional gene abundance and the chemical substance concentration obtained in the step 2 into the equations, and calculating nitrogen concentrations in different spaces and time so as to simulate the nitrogen concentration of the river. According to the method, the mathematical model of the river nitrogen conversion process is constructed through the microbial metabolism reaction mechanism, and compared with a traditional water environment model, the distribution characteristics of nitrogen can be more accurately simulated, and the change rule can be predicted.

The invention discloses a sewage treatment method based on ultrasonic enhanced photocatalysis cooperating with microorganisms, a Mn-TiO2 / Fe2O3 composite photocatalyst is created for the first time, meanwhile, a heterojunction structure of Fe2O3 and TiO2 can promote directed migration of photo-induced electron-hole pairs, Mn doping serves as an electron trap to further inhibit recombination, the carrier separation efficiency is improved, and the photocatalytic activity is improved. Therefore, the generation amount of active oxygen is greatly increased, and an easily degradable substrate is provided for microbial metabolism. An ultrasonic technology is introduced into a sewage treatment system of Mn-TiO2 / Fe2O3 photocatalysis and microorganisms in a breakthrough manner, so that the effective contact area of florae and pollutants / intermediate products is increased, and the decomposition capability of the microorganisms on the pollutants is enhanced; sewage treatment is carried out by innovatively adopting a three-effect synergistic effect of ultrasonic cavitation, photocatalytic oxidation and microbial metabolism; the pseudomonas is subjected to ultrasonic domestication, so that the pseudomonas has ultrasonic resistance, the normal metabolism and degradation capability of microorganisms in an ultrasonic environment is ensured, and efficient sewage treatment is performed according to the microorganisms required by wastewater culture of different pollutants.

The invention discloses a soil microorganism carbon utilization efficiency determination method, and relates to the technical field of carbon utilization efficiency determination, and the method comprises soil sample pre-culture, multi-source 18O isotope gradient labeling, dynamic gas monitoring, microorganism respiration rate dynamic correction, and microorganism growth rate and carbon utilization efficiency acquisition. By labeling multi-source isotopes and quantifying contributions of different oxygen sources to microorganism DNA synthesis, underestimation of the carbon utilization efficiency caused by a traditional single labeling method is avoided, the problem of limitation existing in the current soil microorganism carbon utilization efficiency determination process is solved, the inhibition effect of too high local concentration on microorganism metabolism is reduced through gradient labeling, and the accuracy of soil microorganism carbon utilization efficiency determination is improved. The method has the advantages that marking uniformity is improved, multiple groups of soil samples are arranged, real-time change of microbial respiration is captured by means of dynamic monitoring, influence of isotope fractionation on carbon dioxide concentration calculation is eliminated, instantaneous errors of traditional static measurement are avoided, and accuracy of analysis results is improved to a certain extent.

The invention discloses a preparation method of a composite slow-release carbon source, which comprises the following steps: preparing an inner core: uniformly dry-mixing lignin powder and a quick-acting carbon source, and adding a first binder to prepare inner core particles; middle layer wrapping: alternately spraying a second binder and middle layer coating powder until the middle layer is completely wrapped to obtain double-layer particles; outer layer wrapping: alternately spraying a third binder and outer layer coating powder until the outer layer is completely wrapped to obtain three layers of particles; and spraying a biodegradable polymer solution on the surfaces of the three layers of particles to form a coating film. Through the three-layer structural design of the quick start layer, the stable maintenance layer and the long-acting guarantee layer, accurate matching of carbon source release and microbial metabolism requirements is realized. The outer-layer quick-acting carbon source quickly starts microbial activity, the middle layer provides stable and continuous carbon source supply, and the inner core ensures the tail-section treatment effect. The sequential release mechanism effectively avoids burst release waste of the carbon source, so that the utilization rate of the carbon source is greatly improved.

This invention discloses a Fe-GC@Fe 0 This invention relates to catalysts, their preparation methods, and applications, belonging to the field of water treatment technology. The preparation method of this invention is simple, requires minimal equipment, and yields Fe-GC@Fe catalysts. 0 The catalyst can drive microorganisms in water to metabolize perfluorinated compounds. Under conditions without external energy input, it can effectively remove perfluorinated compounds such as perfluorooctanoic acid, perfluorooctane sulfonic acid, perfluorononanoic acid, and perfluorohexane sulfonic acid from water. The removal rate and defluorination rate both reach more than 80%. Moreover, it is a solid catalyst, which is easy to separate from water, recycle and reuse, and maintain a high removal effect.

The invention relates to a method for electrically cleaning an anaerobic membrane bioreactor in situ. The anaerobic membrane bioreactor comprises a digestion tank and a membrane tank, the membrane pool comprises a working electrode and a counter electrode; the method comprises the following steps: applying pulse voltage between a working electrode and a counter electrode in a membrane pool, and cleaning the working electrode; and the magnitude of the pulse voltage ranges from 5V to 10V. According to the method, the anaerobic membrane bioreactor is cleaned by adopting pulse high voltage, the damage to enzymes, cell structures and microbial metabolism is relieved by adopting pulse type (intermittent type) instead of direct-current voltage, a strong electrochemical reaction is initiated in the anaerobic membrane bioreactor to realize efficient in-situ cleaning of the membrane, extra dosing or membrane cleaning is not needed in the process, the operation is simple, and the cost is low. And the membrane is not required to be taken out, the system is not required to be independently cleaned, and the system can continuously run and is uninterrupted only by increasing high voltage, so that the working efficiency is improved.

The invention discloses a central air conditioner pollution degree autonomous evaluation robot based on multi-modal perception, and relates to the technical field of intelligent detection, the robot comprises a voxel space division module, a data acquisition module, a pollution characteristic mapping modeling module, a physical pollution detection module, a chemical pollution detection module and a biological pollution detection module; through three-dimensional point cloud data scanning and real-time data acquisition, the air pipe wall surface roughness, the temperature delay time, the gas fluctuation, the heat retention degree and the microbial metabolism gas concentration are monitored in real time, and a three-dimensional pollution characteristic mapping model is generated according to the pollution characteristic data set; by calculating a physical pollution index PPI, a chemical pollution index CPI and a biological pollution index BPI and comparing and analyzing with corresponding threshold values, whether dust retention, gas concentration and microorganism quantity in an air pipe exceed standards or not is judged in real time, cleaning, filtering and sterilizing strategies are automatically triggered, and the air quality and operation safety of a central air conditioning system are effectively guaranteed.

The invention relates to the technical field of electrochemical wastewater treatment, and discloses a method for treating industrial wastewater through electrochemical enhanced hydrolytic acidification. Pollutant degradation is achieved by constructing a reaction system containing a heterojunction anode, a composite cathode and a charcoal particle electrode, the heterojunction anode forms a gradient conductive structure through a titanium matrix composite metal oxide and a conductive polymer, and the bioelectrochemical activity is enhanced by fixing a symbiotic flora of sulfur reducing bacteria and electroactive bacteria; modifying the composite cathode based on the activated carbon felt; the biochar particle electrode is subjected to iron doping modification to form a porous interface. The method utilizes electrochemical redox to destroy sulfur bonds and cyclic structures of biotin, couples microbial metabolism to realize deep mineralization, has efficient electron migration and biological membrane stability, significantly improves the conversion efficiency of organic matters, reduces sludge byproducts, and is suitable for efficient treatment of biotin-containing wastewater in the fields of medicine and chemical industry.

The invention relates to the technical field of refuse landfills, and discloses an aerobic biological enhanced degradation and percolate cyclic recharge co-treatment process, which comprises the steps of complex microbial inoculant screening, microbial metabolism regulation and control, microbial metabolism environment optimization, microbial inoculant staged addition, dynamic recharge proportion regulation and control, percolate pretreatment and landfill gas resource utilization. Through the treatment process, the aerobic biological enhanced degradation effect of the landfill can be improved, and the yield of the leachate is reduced.

The invention relates to the technical field of microorganisms, in particular to saccharomyces cerevisiae CEC NW94 and application thereof. The invention provides the Saccharomyces cerevisiae CEC NW94, and the Saccharomyces cerevisiae CEC NW94 is used for brewing the wine, so that the contents of glycerol and lactic acid can be increased, and the yield of volatile acid can be reduced; the synthesis of volatile substances such as ethyl 2-methylbutyrate, isoamyl alcohol and linalool is promoted, and the generation of acetic acid is inhibited, so that the wine presents complex aroma of black fruits, mushrooms and the like, and the odor of herbaceous plants, herbal medicines, vinegar and the like is effectively reduced; in addition, the strain can improve the umami of the grape wine, and improve the aroma purity, the aroma concentration, the wine body, the aftertaste and the complexity. According to the method, the flavor substances of the dry red wine are controlled through a microbial metabolism regulation and control technology, and a new technical scheme is provided for high-quality wine production.

The invention relates to the field of microbial metabolism engineering, and discloses a method for increasing the yield of 2 '-fucosyllactose (2'-FL) through the synergistic effect of various alpha-1, 2-fucosyltransferases. According to the method, two or more alpha-1, 2-fucosyltransferases with different sources are co-expressed in microbial cells, and the complementary enzymatic characteristics of the alpha-1, 2-fucosyltransferases are utilized, so that the synthesis efficiency of the 2 '-FL is remarkably improved, and the yield of the 2'-FL is effectively improved. The microbial cell is escherichia coli C43 (DE3) (E. coli C43 lacZ waaF with lacZ and waaF genes knocked out, the serial number is SL), a pETDuet-1 plasmid is constructed, and genes manB, manC, gmd, wcaG and zwf are overexpressed on a pETDuet-1 vector, so that the microbial cell can be used for preparing the microbial cell. In a 5L fermentation tank, after the final strain SL07 is used for final fermentation for 68 hours, the yield of 2 '-FL reaches 148g / L, and the production intensity reaches 2.18 g / L / h. The embodiment shows that the engineering strain for co-expressing the alpha-1, 2-fucosyltransferase from different sources can obviously improve the yield of the 2 '-FL.

The invention provides a preparation method of 11-seed fermentation oil and fermentation liquor with multiple effects, and belongs to the technical field of fermentation. The method comprises the following steps: S1, preparing recombinant saccharomycetes; s2, jointly fermenting lactobacillus, recombinant saccharomycetes and 11 seed oil; s3, separating an oil phase and a water phase, and taking the oil phase; and S4, dehydrating the oil phase to obtain the 11-seed fermentation oil. And S5, further refining the water phase to obtain the 11-seed fermentation liquor. The 11-seed fermented oil prepared by transforming a microbial metabolic network is rich in dihydroquercetin, and has multiple effects of resisting oxidation, resisting wrinkles, tightening, repairing cells and the like. In the fermentation process of the 11-seed fermentation oil, 11-seed fermentation liquor can be obtained, and the fermentation liquor has multiple effects of resisting oxidation, relieving, moisturizing, resisting wrinkles, tightening and the like.

The invention discloses a method and system for analyzing a bacterium-drug interaction panoramic dynamic mechanism by using a causal enlightenment hypergraph neural network, and electronic equipment, and belongs to the technical field of artificial intelligence and biomedical informatics. The method comprises the following steps: constructing a disease / syndrome / disease-bacterium / microorganism / metabolite-prescription / drug / component interlocking hypergraph; analyzing a bacteria-drug interaction dynamic mechanism based on a dynamic hypergraph network algorithm; optimizing the hypergraph neural network based on the prescription compatibility rule and the traditional Chinese medicine dosage; and predicting the microbial marker based on the causal enlightenment hypergraph neural network. According to the method, a multi-entity high-order relation is captured through an interlocking hypergraph structure, a time sliding window and an attenuation mechanism are introduced to analyze dynamic evolution, the traditional Chinese medicine dosage is used as an attention priori optimization network, and causal reasoning is achieved through alternate optimization of an intervention discovery and response prediction module. In a public data set test, the performance evaluation index is obviously superior to that in the prior art, and the problem of analyzing the panoramic dynamic mechanism of the bacterium-drug interaction is effectively solved.

The invention provides a functional composite suspended biological carrier and a preparation and application method thereof. The functional composite suspended biological carrier comprises a main base material and functional components, the main body base material is polyethylene or polypropylene, and the functional component comprises the following substances in parts by mass: 3.0 parts of polyquaternium-10 or cationic polyacrylamide, 1.5 parts of molybdenum disulfide, 2.5 parts of vinyl acetate or acrylate, 2.0 parts of nano silicon dioxide, 2-3 parts of talcum powder, 0.5 part of a silane coupling agent and 0.5 part of polyethylene wax; the total proportion of inorganic components in the carrier is less than or equal to 12%; the cross section of the carrier is a 19-hole honeycomb hollow cylinder, the diameter of the formed cylinder is 25 mm, the height of the formed cylinder is 10 mm, and the density of the carrier is 0.95-1.00 g / cm; according to the invention, the state of charge on the surface of the carrier is adjusted through the positive electricity polymer PQAS-10, the affinity with negatively charged microorganisms is enhanced, the biofilm culturing period is obviously shortened, and by introducing molybdenum disulfide and a composite conductive structure thereof, a surface micro-conductive network is established, and the microbial metabolism efficiency under aerobic and facultative conditions is improved.