30393 results about "Microorganism" patented technology

The invention relates to a power transmission line forest fire risk assessment early warning system and method, and belongs to the technical field of power transmission line risk assessment. The system comprises an environment DNA power transmission line forest fire risk assessment and early warning system, a quantum sensing power transmission line fire remote monitoring system, a power transmission line forest fire early warning emergency training system, a digital twin power transmission line fire risk dynamic management system, and a multi-node power transmission line fire early warning system of an edge AI and a low orbit satellite. The system comprises a thermal imaging and deep learning integrated power transmission line fire risk distribution prediction system, an AI-driven power load dynamic adjustment and fire prevention system, an intelligent fire-fighting equipment linked power transmission line fire spreading path prediction system and a distributed quantum computing power transmission line fire emergency simulation and optimization response system. According to the method, the inflammable vegetation density and biocenosis change can be dynamically analyzed through a plant and microorganism gene sequencing technology.

The invention provides a technical condition prediction method for a tunnel civil engineering structure, and relates to the technical field of traffic control monitoring systems.A biological acoustic composite sensing system comprising a distributed optical fiber acoustic sensing system and microorganism sample collection and analysis is constructed, and acoustic depth mode characteristics are mined by applying a deep learning model; the microbial dynamic biomarker is analyzed and identified by using bioinformatics; multi-modal information, a domain knowledge graph and a causal inference algorithm are fused, and a dynamic causal network model for revealing an internal driving relation in the degradation process is constructed; further, training and applying an adaptive neural network prediction model based on causal driving and fusing physical and biochemical mechanism constraints, and carrying out probabilistic prediction on future technical conditions of the tunnel; and executing anti-fact reasoning by using the causal network and the prediction model, and generating and optimizing an intervention strategy of cooperation of physical measures and biochemical measures. According to the method, the accuracy and advance of tunnel structure state prediction can be remarkably improved.

The invention relates to ice wine yeast with high fermentation activity and outstanding aroma-producing characteristics and application thereof. The ice wine yeast is yeast (Saccharomyces cerevisiae) YSL16010, and the bacterial strain has been preserved in China General Microbiological Culture Collection Center on April 18, 2016, with a preservation number of CGMCC No.12349. The bacterial strain YSL16010 is obtained by separating and screening Vidal grapes from a Huanren producing area of Liaoning at a temperature of 16 DEG C in a natural fermentation process, and the ice wine wine-making yeast having good making characteristics and highly producing esters is obtained through a series of screening and identifications and small pilot scale fermentation. The ice wine wine-making yeast YSL1610 highly producing esters is used for fermenting and producing ice wine, so that the yield of volatile acid is effectively controlled while the standards of the grape wine producing countries can be met, and therefore, the content of aromatic compounds such as esters is remarkably increased. The bacterial strain can be applied to ice wine brewing industry, and can play an important role in improving the quality of the ice wine and bringing advantages of the grape producing areas into play.

The invention discloses a microbial compound bacterial fertilizer for improving saline alkali soil and increasing the acting yield. A preparation method of the microbial compound bacterial fertilizer comprises the following steps: preparing a microbial agent containing phosphate-solubilizing bacteria, potassium-solubilizing bacteria, nitrogen-fixing bacteria, bacillus subtilis and actinomycetes; the preparation method comprises the following steps: preparing a sodium alginate solution, adding nano-hydroxyapatite and a microbial agent, uniformly mixing, dropwise adding a calcium chloride solution, and embedding an inner layer to obtain microbial embedded particles; uniformly mixing biochar, humic acid and attapulgite, taking a 2-3% HPMC solution as a binder, and carrying out middle-layer coating, so as to obtain prefabricated microbial fertilizer particles; and coating the chitosan-sodium alginate-nano ZnO outer layer to obtain the microbial compound bacterial fertilizer. The microbial compound bacterial fertilizer disclosed by the invention adopts a multi-layer and multifunctional collaborative design concept, realizes efficient protection and slow release of functional microorganisms in a saline-alkali environment, remarkably improves the physicochemical properties of soil and promotes the growth of crops.

The invention belongs to the technical field of microorganisms, and particularly relates to a Prlisteria ataveovii strain and application thereof. The invention provides a Pichia aryabhattai B8, which is preserved in the General Microbiological Culture Collection Center of the China Committee for Culture Collection of Microorganisms, the preservation date is September 10, 2024, and the preservation number is CGMCC No.31932. The Pichia aryabhattai B8 disclosed by the invention has the advantages that the Pichia aryabhattai B8 can be used for preparing the Pichia aryabhattai B8; the prelisteria aryabhattai B8 disclosed by the invention has a relatively strong function of producing indoleacetic acid, and the content of indoleacetic acid in plants can be increased, so that the stress resistance of the plants is improved; dissolution of insoluble phosphorus and potassium in soil can be promoted, soil nutrients are improved, plant growth is promoted, and plant quality is improved; and meanwhile, the P.aryabhattai B8 has a certain antagonistic effect on pathogenic bacteria of the wheat root rot, and can be used for preventing and treating the wheat root rot.

The invention discloses a fresh corn circulation mildew-proof and quality-guaranteeing method based on intelligent monitoring, and particularly relates to the technical field of agricultural product circulation management.The method comprises the steps that quality data are collected through image, gas, humidity, temperature and microorganism multi-source sensing means, and a quality degradation trend curve and a risk grade score are generated in combination with a time sequence modeling algorithm; identification parameters are automatically adjusted in a high-humidity or oscillation environment, so that early-stage mildew identification accuracy is improved; a high-risk batch is identified through multi-dimensional cross analysis, and a circulation suspension response is triggered; the whole-process data is uploaded to a management platform, so that a traceable quality record is formed, and whole-process dynamic monitoring and closed-loop control are realized; according to the method, recessive mildew is recognized through multi-modal perception, the shelf life is predicted and evaluated through trend, the recognition stability is dynamically adjusted and improved, a chain type data tracing mechanism is constructed to achieve model self-evolution, the quality early warning, risk control and continuous optimization capacity in the whole fresh corn circulation process is improved, and it is ensured that the quality guaranteeing and mildew preventing effects are accurate and reliable.

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 equipment fault prediction, in particular to a coal mine equipment fault prediction system and method based on big data, and the method comprises the following steps: collecting the thickness of a biological membrane on the surface of equipment, synchronously collecting the vibration acceleration of the equipment and the environmental hydrogen sulfide concentration, and constructing a corrosion multi-mode data set; performing electrochemical noise separation on the corrosion multi-modal data set, and constructing a corrosion activity fingerprint spectrum; decoupling a coupling effect of mechanical vibration and microbial corrosion, and generating a corrosion-fatigue damage correlation map; and constructing a dual-channel life prediction model based on the corrosion-fatigue damage correlation map, and setting an early warning mechanism. Microbial corrosion characteristic current is accurately extracted through wavelet packet decomposition and wavelet entropy analysis, a corrosion-vibration heterogeneous graph is established by adopting a graph attention network, corrosion-induced structural vibration enhancement effect analysis is realized, and compared with a traditional prediction method based on a single signal, the method has the advantages that the method is simple and convenient to operate. And the problems of limited local corrosion influence range, unstable vibration response and the like are effectively solved.

The present disclosure provides non-intergeneric remodeled microbes that are able to fix atmospheric nitrogen and deliver such to plants in a targeted, efficient, and environmentally sustainable manner. The utilization of the taught microbial products will enable farmers to realize more productive and predictable crop yields without the nutrient degradation, leaching, or toxic runoff associated with traditional synthetically derived nitrogen fertilizer. The remodeled microbes taught herein are able to be combined with leading agricultural chemistry and elite germplasm. Furthermore, the disclosure provides seed treatments comprising remodeled microbes.

Systems for plant culture include a chamber featuring one or more walls enclosing a spatial volume internal to the chamber, where the one or more walls include a surface for supporting a plant within the enclosed spatial volume, a gas delivery apparatus with at least one gas source, a nutrient delivery apparatus with a reservoir, a sampling apparatus connected to a port formed in the one or more walls, and a controller configured so that during operation of the system, the controller activates the nutrient delivery apparatus to deliver an aqueous growth medium to the plant, and activates the gas delivery apparatus to deliver into the enclosed spatial volume a mixture of isotopically-substituted gases. Also provided are methods of use of the system for measuring nitrogen in a plant and for identifying microbes capable of providing fixed nitrogen to a plant.

The invention provides bacillus and application thereof, the bacillus is preserved in Guangdong Microbial Culture Collection Center on June 6, 2025, and the preservation number is GDMCC No.66483; one application of the bacillus is to prepare a preparation for promoting growth and / or resisting diseases of plants, and the other application is to use the bacillus for inhibiting microorganisms; the bacillus can effectively and enduringly inhibit the growth of phytopathogen, and can be used as a broad-spectrum antibacterial biological antibacterial agent to enhance the resistance of plants and promote the growth of the plants.

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 discloses coal gangue-based artificial ecological soil and a preparation method and application thereof, and belongs to the technical field of ecological improvement, the coal gangue-based artificial ecological soil comprises crushed coal gangue and a compound microbial agent, and the compound microbial agent comprises a microbial activating agent and a microbial passivating agent. According to the invention, the coal gangue can be quickly decomposed through the microbial activating agent, useful mineral elements in the coal gangue can be fully activated and analyzed, and the effect of activating a nutrient library in the coal gangue is achieved, so that useful trace elements contained in the coal gangue are effectively released and are easily absorbed by plant growth; meanwhile, harmful heavy metal elements in the coal gangue are passivated through the microbial passivating fungicide, the water-retaining property and the air permeability of the soil are guaranteed by controlling the decomposition particle size proportion of the coal gangue, the soil conditioner can be used for ecological restoration, desert control, agriculture and animal husbandry planting, flower and nursery planting and urban landscaping, the effects of improving the soil and promoting plant growth are achieved, and the soil conditioner is suitable for large-scale popularization and application. The application is wide.

The invention provides a petroleum hydrocarbon pollution remediation method based on soil microorganisms, and provides an innovative solution aiming at the problems of high cost, high energy consumption and secondary pollution of an existing remediation technology. The method comprises the following steps: firstly, carrying out sampling analysis and pretreatment on polluted soil, screening out a microbial strain capable of efficiently degrading petroleum hydrocarbon, and fixing the microbial strain on a biochar carrier to form an immobilized microbial composite material; then, the material is added into the contaminated soil, and tolerant plants are planted to construct a combined remediation system. Meanwhile, nutrient substances such as nitrogen and phosphorus and a surfactant are added, so that the bioavailability and the microbial degradation efficiency of the petroleum hydrocarbon are improved. In the repairing process, the petroleum hydrocarbon content and the microbial activity are monitored regularly, and the repairing scheme is dynamically adjusted. According to the method, the biochar is prepared from agricultural waste, the cost is reduced, efficient and environment-friendly remediation is achieved by combining the synergistic effect of microorganisms and plants, and the method has remarkable economic and environmental benefits and is suitable for treatment of soil polluted by various petroleum hydrocarbons.

The invention discloses an illness state tracking management system and method based on a lingual face diagnosis instrument, and belongs to the technical field of traditional Chinese medicine tongue diagnosis and modern information technology fusion. The system comprises a multi-modal data acquisition module, a data processing and analysis module and an augmented reality visualization module; according to the method, illness state tracking is achieved through the steps of multi-modal data acquisition, data preprocessing and feature fusion, personalized digital twinborn model establishment, augmented reality visualization presentation and the like, multi-dimensional data such as tongue picture macroscopic features and tongue surface microorganism distribution can be integrated, dynamic association between the data is revealed, the health state and the intervention effect are visually displayed, and the method is suitable for being popularized and applied. The method is suitable for the fields of traditional Chinese medicine health management and chronic disease monitoring.

The invention discloses bacillus velezensis as well as fermentation product filtrate and a biological product thereof, and belongs to the technical field of microorganisms, a bacillus velezensis BTN-HB-F4 strain is separated and purified from prinsepia utilis royle in Harba snow mountain in Yunnan province, the fermentation product filtrate of the bacillus velezensis has excellent HAS inhibition capacity and remarkable DPPH and ABTS free radical scavenging capacity, and the biological product of the bacillus velezensis has the advantages that the biological product can be used for preparing biological products of the prinsepia utilis royle; a good anti-oxidation effect can be realized; secondly, under various concentrations, fermentation product filtrate can remarkably reduce the proportion of SA-beta-Gal positive cells, gene expression of matrix metalloproteinase 3 can be remarkably inhibited, and a good anti-aging effect is achieved; in addition, fermentation product filtrate can remarkably inhibit generation of zebra fish melanin and has a good whitening effect; the secretion amount of cell inflammatory factors IL-6 and TNF-alpha can be remarkably inhibited, and a good relieving effect is achieved; finally, the fermentation product filtrate can effectively inhibit the growth of pathogenic bacteria staphylococcus aureus, and has the potential of regulating the skin micro-ecology.

The invention discloses a microbiological culture scheme customization recommendation method and system based on soil data analysis, and relates to the technical field of microbiological culture plants.The method comprises the steps that soil samples at different positions and depths are collected, soil characteristic data are analyzed, and data processing is carried out; microbial community information is obtained through soil DNA extraction, PCR amplification and high-throughput sequencing, and distribution and functions of microorganisms are evaluated in combination with data preprocessing and diversity analysis; selecting proper microbial strains according to soil characteristics and microbial community analysis results; a microbial culture scheme is combined with agricultural management measures; the conditions of soil and microorganisms are monitored in real time, and a microorganism culture scheme is dynamically adjusted based on a feedback mechanism; through field trials and advanced performance evaluation indexes, the effect of the microbial culture scheme is verified for a long time. The method has high adaptability and sustainability, and customized microorganism management schemes can be provided in different agricultural environments.

The invention discloses a microbial fermentation strain breeding control system based on a neural network model, and relates to the technical field of digital fermentation, and the system comprises a thallus data acquisition module, a biological feature recognition module, a prediction classification module, a breeding decision module, an optimization training module, an early warning monitoring module and a sorting regulation module. The bacterial data acquisition module preprocesses bacterial data; the biological feature recognition module constructs a bacterial feature library; the prediction classification module predicts the adaptability of bacterial strains and classifies the bacterial strains; the selection decision module selects the bacterial strains and generates culture parameters; the sorting regulation and control module generates a three-dimensional scatter diagram and a hereditary character report. According to the method, the precision and efficiency of breeding of the microbial fermentation strain are remarkably improved, intelligence and automation of the breeding process are achieved, the labor cost is reduced, the stability and controllability of the fermentation process are enhanced, and powerful technical support is provided for innovative development of the microbial fermentation industry.

The invention relates to the technical field of data processing. The fermentation process intelligent regulation and control method and system based on multi-modal perception are provided, and the method comprises the following steps: carrying out image feature extraction processing on microorganism image data to generate a morphological feature vector, and carrying out metabolic feature dimension reduction processing on metabonomics data to generate a metabolic feature matrix; performing time sequence alignment processing to generate a fusion feature matrix, and performing abnormal marking processing on the metabonomics data to generate abnormal marking data; carrying out correlation intensity calculation processing on the morphological change of the microorganisms and the concentration fluctuation of the metabolites to generate a dynamic correlation intensity curve; constructing a cross-dimensional anomaly recognition model and a multi-modal collaborative prediction model, and generating a regulation and control parameter suggested value; the parameters of the multi-modal collaborative prediction model are updated through a feedback learning mechanism, the feature fusion weight of the fusion feature matrix is optimized, the accuracy of anomaly detection and regulation decision is improved, and the risk of stability fluctuation in the fermentation process is reduced.

The invention discloses a soil health and microbiological analysis intelligent environment monitoring device, and relates to the technical field of soil monitoring, the device comprises the following components: an outer shell, a sensor assembly, a microflora interaction monitoring sensor group, a data acquisition and transmission module, a power supply module, a microprocessor, a control unit and a data analysis module; signal molecule concentration change data and predatory relationship visual data are combined through the data analysis module, deep analysis is carried out by using bioinformatics and mathematical modeling means, and a multi-dimensional regulation network hidden in a microbial community can be comprehensively revealed; according to the soil health assessment device, the interaction relationship between the soil ecological system and the soil ecological system is analyzed accurately, the influence of the interaction relationship on key ecological functions such as material circulation and energy flow in the soil ecological system is analyzed accurately, the device can generate a detailed soil health assessment report based on the analysis results, agricultural scientific researchers, planting farmers and environmental protection monitoring departments can assess the soil health condition accurately, and the soil health assessment efficiency is improved. And targeted soil management measures are taken.

A wearable device consists of a smart band and a display unit. The smart band comprises a microbial biosensor, a particulate matter sensor, an enviro sensor, a physiological sensor, a biofluid sensor, a biokinetics sensor, a lifestyle sensor, and a single board computer. The microbial biosensor detects, measures, and monitors microorganisms, and a sterilizer kills pathogens. The particulate matter sensor detects, measures, and monitors a set of suspended particles in the surrounding air. The enviro sensor monitors environmental conditions surrounding the user. The biofluid sensor detects, measures, and monitors biological fluid parameters of the user. The physiological sensor detects, measures, and monitors physiological parameters of the user. The biokinetics sensor detects, measures, and monitors physical activities of the user. The lifestyle sensor detects, measures, and monitors healthy lifestyle activities of the user. The wearable device allows for continuous monitoring of user health for accurate clinical outcomes and wellness programs.

The invention relates to the field of microbial communities, and discloses a bioinformatics-based microbial community dynamic monitoring method, which comprises the following steps: acquiring high-frequency acquisition data based on a trace sample, constructing a microbial data stream for time sequence analysis, and carrying out rapid metagenome marker amplification on each sampling unit in the data stream, obtaining a preliminary feature matrix; based on the co-occurrence frequency of the microbial functional genes in the preliminary feature matrix, constructing a multi-dimensional feature mapping graph; performing real-time mode recognition on the flora abundance change trend based on the dynamic fluctuation region; aiming at the key dynamic signal segment, adopting a distributed clustering method based on variation information entropy regulation and control to reconstruct the evolution trajectory of the flora, and generating a flora time sequence behavior vector set; and based on the flora time sequence behavior vector set, performing dynamic alignment with a pre-constructed reference model by using a multi-scale trend matching algorithm. The method has the advantages of high timeliness and automatic processing capability.

The invention provides a genetically engineered bacterium, a preparation method thereof and application of the genetically engineered bacterium in synthesis of sclareol. The genetically engineered bacterium comprises a CcLPPS gene derived from Cistanus crenatus, and a CcLPPS gene derived from Cistanus crenatus, the genetically engineered bacterium is selected from yarrowia lipolytica. According to the invention, the stably expressed sclareol efficient de novo synthesis strain is constructed, and no organic reagent or any path intermediate substance is added in the whole fermentation process, so that the production cost is greatly reduced, and the subsequent separation and purification steps are simplified. The engineering yarrowia lipolytica strain provided by the invention is high in production intensity and simple in fermentation process, has a relatively good application prospect, and lays a foundation for producing sclareol by a microbial fermentation method.

The invention belongs to the related technical field of microbiological treatment of soil, and discloses a method for improving microbiological sand consolidation strength based on modified plant fibers. Natural plant fibers are subjected to alkali treatment modification, so that non-cellulose components on the surfaces of the natural plant fibers are removed, the roughness and the specific surface area are remarkably improved, the interface friction force and the mechanical connection capacity between the fibers and sand particles are enhanced, more nucleation sites are provided for microorganisms to induce calcium carbonate precipitation, and the content of calcium carbonate is increased. The strength of the solidified sandy soil can be effectively improved, and the biomineralization period is greatly shortened. Meanwhile, after the modified fibers are doped into the sandy soil, a three-dimensional interlaced fiber network structure can be formed in the material in combination with a microorganism induced calcium carbonate deposition (MICP) technology, and the cohesiveness among sand grains and the mechanical property of the overall structure are effectively improved. According to the solidification method, the solidification strength of the sand column is remarkably improved, the technology is simple, green and environment-friendly, and good engineering adaptability and popularization value are achieved in the field of sand solidification.

The invention relates to serratia marcescens XJ108 and application thereof, and belongs to the technical field of microorganisms. The serratia marcescens XJ108 is preserved in the China General Microbiological Culture Collection Center (CGMCC), the preservation number is CGMCC No.29557, the preservation date is January 10, 2024, and the address of the preservation institution is No.3, Yard 1, Beichen West Road, Chaoyang District, Beijing. The invention also provides application of the serratia marcescens XJ108 in acid environment, alkaline environment, high salinity environment and high chemical fertilizer environment soil tolerance and plant growth promotion. The serratia marcescens XJ108 provided by the invention has certain biological safety; meanwhile, the plant growth promoting function is achieved; and various extreme soil environments can be tolerated.

The invention relates to the technical field of microorganisms, and provides a low-temperature-resistant heterotrophic nitrification-aerobic denitrification pseudomonas and application thereof, the strain is pseudomonas (Pseudomonas sp.) SW1, and the preservation number is CCTCC (China Center for Type Culture Collection) NO: M 20221797. The low-temperature-resistant heterotrophic nitrification-aerobic denitrification bacterium Pseudomonas sp. SW1 has the characteristic of low temperature resistance, can well grow at 4-10 DEG C, and has relatively strong heterotrophic nitrification-aerobic denitrification nitrogen removal capability, and the enrichment culture of the strain is carried out in a relatively low nitrogen source, and the condition is extremely consistent with the application scene of the strain in domestic sewage.

The invention discloses a growth-promoting bacillus velezensis FSUXF-717 capable of tolerating heavy metals and application of the growth-promoting bacillus velezensis FSUXF-717, and belongs to the technical field of agricultural microorganisms. The bacillus velezensis FSUXF-717 has the following advantages: (1) the bacillus velezensis FSUXF-717 has multifunctional metabolic characteristics: various carbon sources such as cane sugar, raffinose and aesculin can be utilized, and the bacillus velezensis FSUXF-717 has the functions of producing long-chain hormone, dissolving phosphorus, secreting ACC deaminase, efficiently forming a biological membrane and the like; (2) broad-spectrum adaptability: the strain has strong tolerance to heavy metal pollution (Cd / Pb / Cr / Ni), drought and broad-spectrum acid-base stress (pH 4.5-9.5); under the condition of relatively low bacterium concentration, the auxin can be stably synthesized in a heavy metal-acid-base composite stress environment. And (3) the activity of soil sucrase and soil phosphatase is enhanced. Excavation of the strain can provide an important germplasm resource basis for development and utilization of novel efficient microbial fertilizers and lay a foundation for green and high-quality development of agriculture.

The invention relates to the field of self-repairing concrete, in particular to high-strength self-repairing concrete and a preparation method thereof. The high-strength self-repairing concrete comprises the following substances in parts by weight: 45-60 parts of cement; 100 to 120 parts of recycled coarse aggregate; 65 to 80 parts of fine aggregate; 10 to 20 parts of water; 0.1 to 0.3 part of a water reducing agent; the recycled coarse aggregate is the recycled coarse aggregate immobilized with self-repairing microorganisms, and the self-repairing microorganisms comprise at least one of bacillus subtilis, bacillus megatherium and bacillus pasteurii. The concrete crack self-repairing capability is endowed through the immobilized self-repairing microorganisms. The microorganisms form resting spores in the concrete, when cracks are generated and water permeates into the cracks, the microorganisms are activated and metabolize a calcium source and urea in the surrounding environment, calcium carbonate crystals are generated through the mechanism that the microorganisms induce carbonate precipitation, the cracks are filled, and the structural integrity is recovered. The process does not need external intervention, and the mechanical structure and mechanical properties of the concrete structure can be remarkably improved.

The present disclosure provides non-intergeneric remodeled microbes that are able to fix atmospheric nitrogen and deliver such to plants in a targeted, efficient, and environmentally sustainable manner. The utilization of the taught microbial products will enable farmers to realize more productive and predictable crop yields without the nutrient degradation, leaching, or toxic runoff associated with traditional synthetically derived nitrogen fertilizer. The remodeled microbes taught herein are able to be combined with leading agricultural chemistry and elite germplasm. Furthermore, the disclosure provides seed treatments comprising remodeled microbes.