280 results about "Metabolic activity" patented technology

The invention relates to the technical field of material testing, and particularly discloses an intelligent quality detection method and system for a micro-mineral bio-organic fertilizer, local thermal excitation is applied to a fertilizer sample through a micro-area thermal pulse excitation device, a gas release kinetic curve and a spectrum change track are synchronously collected, and a gas spectrum coupling data cube is constructed; performing differential transformation and modal decomposition on the time sequence feature set, extracting transient response feature vectors and generating an activity response distribution diagram; establishing component-activity correlation analysis, and decoupling biological metabolic activity and matrix background interference through feature separation and a comparative learning strategy to obtain a dynamic metabolic fingerprint; constructing a multi-dimensional feature space by using the dynamic metabolic fingerprints and the apparent characteristic parameters, and performing information aggregation and feature reconstruction by using a graph convolutional network to generate a comprehensive quality index; and finally, realizing quality grade judgment based on a quality characteristic pyramid structure, and establishing a dynamic early warning mechanism by analyzing time sequence evolution characteristics of the activity response distribution diagram.

The invention provides a monascus drying degree real-time control method which comprises the following steps: monitoring the surface moisture content, internal metabolic activity index and pigment content change of mycelium in a monascus drying process, and generating a mycelium state distribution diagram; extracting moisture gradient characteristics and metabolic activity parameters from the mycelium state distribution diagram, analyzing a relationship between a moisture evaporation rate and mycelium activity, and determining a dynamic trend of moisture gradient and activity change; analyzing the dynamic trend of the moisture gradient and the activity change, determining the relationship between the moisture gradient and the activity change through a fitting curve, and predicting the change trend of the moisture and the activity of the mycelium in different drying stages; aiming at a moisture distribution non-uniformity index, the uniform distribution of heat in the red yeast rice is improved by optimizing an air supply mode, so that the moisture evaporation rate deviation is reduced, and a temperature and humidity control sequence is obtained.

The invention discloses a mutton quality index intelligent hyperspectral image detection method, and belongs to the technical field of hyperspectral image detection.The mutton quality index intelligent hyperspectral image detection method comprises the steps that the surface of a mutton sample is scanned by rotating a polarized light source, and a muscle fiber four-direction light field matrix is generated. A three-dimensional muscle fiber topological graph is constructed, Gaussian curved surface fitting and iterative optimization of an energy function are combined, segmentation precision and robustness of geometric modeling are remarkably improved, reliability and multi-scale adaptability of muscle fiber spatial distribution analysis are improved, and by fusing the sarcomedo contraction state, intermuscular fat marks and metabolic activity, the segmentation accuracy is improved. And a tenderness-freshness comprehensive decision is generated through dynamic weight distribution and a nonlinear scoring formula, so that multi-dimensional data complementation is realized, and the comprehensiveness and automatic decision-making capability of quality grading are improved.

The invention discloses a self-repairing synchronous grouting material and a preparation method thereof, and belongs to the technical field of grouting materials. The self-repairing synchronous grouting material comprises a cement base material, a microbial capsule and chitosan calcium salt, the concrete comprises the following raw materials in parts by mass: 7-12 parts of Portland cement, 20-28 parts of fly ash, 40-55 parts of quartz sand, 20-30 parts of water, 2-7 parts of bentonite, 1-5 parts of microbial capsules and 1-5 parts of chitosan calcium salt. The self-repairing synchronous grouting material disclosed by the invention is combined with a microorganism self-repairing technology, and mineral substances such as calcium carbonate and the like can be generated through metabolic activity of microorganisms when the material has cracks, so that the cracks are automatically filled, and expansion of the cracks on the surface of a concrete material can be effectively prevented; the grouting material can continuously repair microcracks caused by environmental changes or construction stress in the long-term use process, and the integrity and stability of the structure are kept.

The invention provides a livestock oxidative stress reaction prediction method and system, and the method comprises the steps: obtaining a real-time physiological monitoring data set with a timestamp mark of a livestock group, carrying out the feature extraction of the real-time physiological monitoring data set, and obtaining a target physiological index feature reflecting an oxidative stress state, the target physiological indexes comprise metabolic activity characteristics, oxidation product accumulation characteristics and anti-oxidation response characteristics. Calling a pre-training model to carry out time sequence correlation analysis on the target physiological index features, and generating an oxidative stress state prediction sequence; and determining a target individual with oxidative stress reaction and reaction development stage information according to the prediction sequence, and finally generating an oxidative stress reaction prediction result for the target individual. Therefore, the oxidative stress reaction of the livestock and poultry can be accurately predicted in real time.

The invention relates to the field of probiotic fermentation, and discloses a probiotic fermented beverage prepared from sea buckthorn fruit peptide and morinda citrifolia fruit peptide and a preparation method thereof, and the probiotic fermented beverage is prepared from the following components by weight: 10-15 parts of a sea buckthorn fruit peptide extract, 8-12 parts of a morinda citrifolia fruit peptide extract, 5-8 parts of a composite probiotic starter, 3-5 parts of fructo-oligosaccharide, and 1-2 parts of a natural sweetener. According to the present invention, the sea buckthorn fruit peptide and the morinda citrifolia fruit peptide are scientifically compounded, such that the synergistic interaction of the two plant active components is achieved, the double-fruit peptide matrix provides the differentiated nutrition supply for the composite probiotics, and the fermentation efficiency is improved through the nutrition complementation; according to the present invention, with the fermentation medium, the growth requirements of different strains are met, the proliferation efficiency and the metabolic activity of the probiotics are significantly improved, the industry problems of poor strain adaptability and low viable count in the traditional single-substrate fermentation are solved through the innovative compatibility, and the fermentation process is stable and efficient.

The invention relates to a method and a system for constructing a traditional Chinese medicine lung cancer prevention and treatment system based on multi-source data fusion, belongs to the technical field of big data, integrates multi-source information such as global evidence-based literature, real world clinical data and expert decision support, constructs an AI-driven three-layer cognitive model, develops a clinical transformation platform, and provides a traditional Chinese medicine lung cancer prevention and treatment system. The method comprises the following steps: screening dominant treatment stages through an intelligent algorithm, optimizing a diagnosis and treatment scheme, establishing a quantitative correlation model of pathogenesis key elements and tumor metabolic activities, further constructing a syndrome-metabolism knowledge graph, forming a syndrome differentiation validity verification mechanism and a prescription linkage database, and finally designing a result transformation engine. New drug research and development and nosocomial preparation conversion are driven through an evidence chain, and evaluation standards are formulated in cooperation with traditional Chinese medicine syndrome improvement and western medicine solid tumor curative effect indexes. According to the method, the bottleneck problems of data splitting, dialectical staticizing and conversion in traditional research are solved, and full-chain innovation from cognitive modeling to clinical landing is achieved.

The invention discloses a bone defect repair material suitability prediction method based on deep learning, and the method comprises the steps: carrying out the overlapping and uniform partitioning of a bone defect region and a host bone region in three-dimensional CT image data, carrying out the position coding and feature extraction of a plurality of sub-blocks through a three-dimensional visual Transform model of multi-scale position coding, and obtaining the anatomical and functional features; calculating a bone metabolism activity score and a systemic inflammation score based on blood detection data, and then constructing pathophysiological features; performing multi-round interaction on the anatomical and functional features, the pathophysiological features, the parameter data and the multidirectional multi-head cross attention layer, in each round, selecting one modal feature as a query vector, and selecting any modal feature in the rest modal features as a key vector and a value vector; and fusing the interaction features of each round, and determining the suitability score and the risk level of the bone repair material by combining the attention weight and the bone metabolism activity score in the multidirectional multi-head cross attention layer.

The near-infrared wearable subcutaneous fat metabolism monitoring device comprises a flexible substrate, a multi-wavelength NIR light source array, a photoelectric detector, a motion artifact suppression module, a wireless transmission unit, a fixing band and a photonic crystal enhanced detector, and the flexible substrate comprises a biocompatible layer, an optical window array and a pressure sensing layer. The wavelength of the multi-wavelength NIR light source array is 760nm / 850nm / 930nm / 980nm, the photoelectric detector is high-sensitivity InGaAs, the motion artifact suppression module is provided with an embedded signal processing module, the embedded signal processing module contains a motion artifact elimination algorithm, the wireless transmission unit is BLE5.0, the fixing band is connected with the flexible substrate, and the flexible substrate is connected with the fixed band. A first subcutaneous fat oxidation characteristic database based on time-frequency analysis is established by installing a fat oxidation dynamic fingerprint spectrum technology, FODS = summa 850980d [mu] a (lambda, t) dt.e-j2pif0tdt (f0 = 0.05 Hz) FODS = summa 850980dtd [mu] a (lambda, t). E-j2pif0tdt (f0 = 0.05 Hz), metabolic oscillation characteristics are extracted through wavelet-Hilbert transform, and a metabolic activity quantitative evaluation core algorithm WO2023 / 123456 is realized.

The invention discloses a medical image recognition method and system based on artificial intelligence, and the method comprises the steps: obtaining CT image data, pathological section data and PET metabolic activity data, introducing a GNN graph neural network to model the semantic association between multi-modal features, and outputting a fusion feature vector; inputting the fusion feature vector into a DSRN double-flow space-time recursive network, extracting 3D lesion morphological features of a single image by using a spatial flow, analyzing lesion growth kinetic parameters of a historical image sequence through a time flow, and generating a lesion malignancy probability index based on a gating fusion unit; based on the focus malignancy probability index, Monte Carlo Dropout sampling is utilized to generate a confidence interval, a clinically interpretable credibility score is output, and when the confidence is smaller than a threshold value, a low-confidence area is displayed for a doctor to check. The deep fusion of multi-source information is realized, the one-sidedness of a single mode is avoided, and the recognition accuracy and efficiency are improved.

The invention belongs to the technical field of microbial fermentation, and particularly relates to a fermentation method for increasing the content of pyocyanin in pseudomonas aeruginosa fermentation liquor. The invention provides a novel pseudomonas aeruginosa fermentation method. The multiplication capacity and metabolic activity of thalli are regulated and enhanced through a microgravity environment. According to the method, single colonies of pseudomonas aeruginosa are cultured through streak isolation, activated and then inoculated to a fermentation medium, fermentation is performed under the microgravity condition of 0.001 g, the microgravity environment fermentation remarkably optimizes thallus growth, the pyocyanin yield is increased, and the biofilm forming ability is enhanced.

The invention discloses a preparation method and application of athlete-derived bifidobacterium probiotics for intestinal barrier repair, and relates to the technical field of biochemistry and microorganisms, and the preparation method comprises the steps of special bacteria source sampling, directional separation and purification, molecular biological identification, antibiotic sensitivity evaluation and injury repair verification. According to the preparation method and application of the sportsman-derived bifidobacterium probiotics for repairing the intestinal barrier, the sportsman intestinal flora is used as an exclusive bacterial source, and the unique metabolic elite attribute and stress adaptability of the sportsman intestinal flora are utilized to directionally screen and obtain a bifidobacterium strain adaptive to an extreme physiological stress environment; the bottleneck that conventional probiotics are only suitable for a common physiological environment and the survival rate and activity in a stress state are greatly reduced is broken through, high survival rate and metabolic activity can be kept in extreme environments such as exercise heat stress and the like, and accurate repair of intestinal barriers is realized through multiple mechanisms; meanwhile, an exclusive screening, identification and safety evaluation system is established, so that the safety and functional specificity of the strain are ensured.

The present invention discloses a measurement and judgment method for orthopedic diagnosis, which belongs to the technical field of orthopedic diagnosis and treatment, comprising: collecting magnetic field signals of bone metabolism through a magnetic field sensor array, collecting electrical impedance spectroscopy data through a four-electrode method to form an original data set; filtering and denoising the magnetic field signals and correcting motion artifacts, and then fitting the electrical impedance spectroscopy data with a Cole-Cole model to extract bone density, porosity, and moisture content; calculating bone metabolic current density through a magnetic field-current inversion algorithm, combining electrical impedance characteristics and current characteristics, and generating a bone health index through a dynamic weight distribution mechanism; by combining the magnetic field-current inversion algorithm with Cole-Cole model analysis, multi-dimensional information of bone metabolic activity and bone tissue structure can be simultaneously obtained, thereby effectively overcoming the problem of insufficient information from a single physical field and significantly improving the accuracy of diagnosis.

The invention provides a trapped person position state analysis method and system, and relates to the field of data processing. According to the method, building structure distribution, conductive fluid flow channels and metal component distribution in a disaster target area are constructed to form a background entropy flow ground state, and noise intensity probability distribution, a channel joint fluctuation relation and a time stability index are counted to generate a background entropy flow field. In the search and rescue stage, a background entropy flow field is converted into a controlled mode through active disturbance, multi-physical channel noise responses before and after disturbance are collected through a multi-field passive sensor network, and a multi-dimensional local entropy response vector is constructed. And combining the consistency, directivity and duration of the multi-noise channel to identify an initial suspected region and extract an entropy anomaly core region, finally inferring metabolic activity and posture limitation conditions according to a local entropy response cooperative relationship in different disturbance modes, and outputting a position state result of the trapped person. By implementing the technical scheme provided by the invention, the position state of the trapped person can be accurately identified.

The invention concerns the specific combination of non-digestible saccharides and lactic acid producing bacteria that was found to be especially suitable for young children, facilitating the most favorable development of the microbiota from an infant-like to an adult-like type taking into account the composition as well as the metabolic activity, and on top of that, advantageously enabling a high level of intestinal butyrate formation.

The present application relates to a kind of regret-alpha ratio-based PET / CT kinetics parameter estimation bayesian optimization method.The present application utilizes reversible double-input three-chamber model to model the metabolic activity of liver tissue, and determines optimization target in combination with real TAC data.By introducing regret-alpha ratio and net inflow rate as weight, high and low weight of initial sampling point is distinguished, and different optimization strategies are used respectively, these strategies are integrated into bayesian optimization framework, and the best parameters are modeled and predicted by gaussian process to target function.After preliminary optimization is completed, whether overfitting exists is judged in combination with target function value to parameter estimation result that does not satisfy physiological reasonableness, and multi-objective optimization is carried out to overfitting result.The present application combines mathematical optimization model with physiological parameters, aims at accurately estimating kinetic parameters, more effectively distinguishes hepatocellular carcinoma and background liver tissue, and provides reliable basis for the analysis of hepatocellular carcinoma.

This application discloses a spatial segmentation radiotherapy guidance method and system based on target immune region activation, relating to the field of digital electrophysiological data processing. The method achieves three-dimensional visualization of metabolic activity and immune response through multimodal fusion of spectral CT / functional magnetic resonance imaging and ResNet radiomics feature extraction, which significantly improves the recognition accuracy compared to anatomical target volume. Furthermore, the immune thermogram generated by the XGBoost model and SAMed-2 segmentation markers can accurately locate highly immune-responsive voxels, and the Monte Carlo simulation gradient dose distribution ensures that the dose intensity in the immune-activated region is several times that of the conventional region while protecting the inactive region. The XGBoost model training of this application can dynamically adjust the dose hotspot according to the patient's specific immune characteristics, so that the radiation can accurately and sufficiently reach the region in the tumor area that is most capable of activating the immune system.

The invention relates to the technical field of organelle separation, and provides a method for rapid purification of peroxisome and oxidation regulation analysis of ultra-long chain fatty acid. The method comprises the following steps: introducing a nucleic acid sequence for coding a fusion protein into a target cell to obtain a cell material, the fusion protein comprising a truncated sequence derived from a peroxisome membrane protein and a tag sequence for affinity purification; taking the cell material as a sample, and separating the peroxisome with the fusion protein from the cell by utilizing an affinity ligand on the basis of a high affinity binding principle. Therefore, according to the method disclosed by the invention, the peroxisome can be rapidly and efficiently enriched, and the whole purification process can be completed within 30 minutes, so that the experimental period is greatly shortened; core protein components of target organelles can be efficiently reserved, and the metabolic activity of peroxisome can be maintained through a complete membrane structure and an internal environment; meanwhile, the same purified sample can synchronously support proteome and metabolome analysis, and direct association of'protein-metabolism 'data is realized.

The invention discloses a method and a system for analyzing immune cell change of an HER2 variant lung cancer patient. The method comprises the following steps: collecting a peripheral blood sample and carrying out single-cell RNA (Ribonucleic Acid) sequencing; performing quality control, standardization processing, dimensionality reduction and clustering analysis on the sequencing data; carrying out immune cell subset annotation on the clustering result based on a preset immune cell marker; analyzing cell communication modes among different immune cell subpopulations by using a ligand-receptor database; performing quantitative statistics on the proportion of various immune cells based on sample grouping; and further performing subpopulation fine analysis, quasi-time sequence trajectory reconstruction and metabolic pathway activity evaluation on the CD8 + T cells to construct a comprehensive immune cell map. According to the method, the multi-dimensional characteristics of the peripheral blood immune cells can be presented at high resolution, and the comprehensive analysis of the functional state, the communication network and the metabolic activity of the immune cells is realized. According to the system and the device, automatic operation and visual display of the method can be realized. According to the invention, the immune monitoring efficiency can be improved, and an effective tool is provided for immune treatment effect evaluation and disease mechanism research.

The present application relates to the technical field of excrement treatment, and particularly relates to a feces treatment method based on flora analysis, comprising obtaining reaction temperature and material Ph value and determining gas production relative deviation based on gas production, determining device operation state based on characteristic parameters; in response to the device operation state, determining abnormal characteristic identification to obtain key functional flora parameters, determining flora balance index based on the key functional flora parameters to determine whether acid-producing bacteria and methanogenic bacteria are in flora balance; determining smoothness index according to the change curve of a plurality of actual flora balance indexes obtained in an initial detection period to determine the deviation degree of the flora balance index, and adjusting the correction sensitivity coefficient of the feed adjustment amount based on the smoothness index. The present application performs real-time monitoring and dynamic regulation on the excrement treatment process based on the flora analysis result to maintain optimal flora structure and metabolic activity, and improves treatment efficiency and stability.

Systems and methods for sensing vibrational absorption induced photothermal effect via a visible light source. A Mid-infrared photothermal probe (MI-PTP, or MIP) approach achieves 10 mM detection sensitivity and sub-micron lateral spatial resolution. Such performance exceeds the diffraction limit of infrared microscopy and allows label-free three-dimensional chemical imaging of live cells and organisms. Distributions of endogenous lipid and exogenous drug inside single cells can be visualized. MIP imaging technology may enable applications from monitoring metabolic activities to high-resolution mapping of drug molecules in living systems, which are beyond the reach of current infrared microscopy.

This invention relates to the field of medical data mining technology, specifically to a system for assessing eye muscle fatigue in myasthenia gravis based on infrared thermal imaging. First, the degree of blood circulation impairment is determined based on the temperature changes of pixels in various directions within a speckled region. Then, based on the number of speckled regions and the concentration of hot spots, a speckled region influence value reflecting local blood circulation and metabolic abnormalities is determined. Next, combining the degree of blood circulation impairment, the speckled region influence value, and the speckled region distribution, a comprehensive reference degree of eye muscle fatigue is determined. Furthermore, considering the distribution of speckled regions under the influence of grease, the degree of blood circulation impairment, and the characteristic that the reference degree of eye muscle fatigue typically does not change, a corresponding grease influence value is determined. Thus, combining the reference degree of eye muscle fatigue and the grease influence value allows for a more accurate determination of the eye muscle fatigue assessment value, resulting in better assessment of eye muscle fatigue in myasthenia gravis based on this value.

This invention relates to the field of soil remediation technology, specifically disclosing a method for remediating heavy metal-contaminated soil using microbial agents. The invention uses hydroxyapatite as a carrier, utilizing its adsorption properties to load licorice extract onto its surface. To further improve the stability of the licorice extract, a carboxymethyl cellulose (CMC) solution is added. After stirring, mixing, and drying, the excellent film-forming properties of CMC help improve the stability of the licorice extract, while also increasing the specific surface area and adsorption sites of the hydroxyapatite. The introduction of licorice extract and CMC not only enhances the chelating ability of hydroxyapatite for heavy metals but also provides an additional carbon source for microorganisms, promoting their growth and reproduction. The metabolic activity of *Trichoderma solani* and *Bacillus licheniformis* is significantly enhanced, resulting in a substantial increase in remediation efficiency.

The invention relates to the technical field of milk food preparation, in particular to normal-temperature fermented milk and a preparation method thereof. The ultrasonic treatment acts on the milk base material and fermentation strain composite system, and the ultrasonic process parameters adaptive to the composite system are developed, so that the metabolic activity of the milk protein structure and the fermentation strain can be regulated and controlled, the generation of nitrogen oxides can be directionally inhibited, and the potential risk of health can be reduced. The ultrasonic treatment process is short in time, easy to regulate and control and easy to efficiently integrate with an existing fermented milk production line, and has good large-scale production potential. Besides, ultrasonic treatment is carried out on a milk base material and fermentation strain composite system under specific parameters, the protein gel network structure can be optimized to improve the texture, meanwhile, the content of sulfides, alcohols, aldehydes, ketones and aromatic compounds is directionally increased, and the flavor of the product is optimized.

The invention belongs to the technical field of medicines and disease treatment, and particularly relates to application of a stellera chamaejasme extract in preparation of medicines for inhibiting the biological activity of superbacteria and the formation of a biological membrane of the superbacteria. Extracting the root of stellera chamaejasme with methanol, filtering, and collecting filtrate; concentrating the filtrate to obtain a methanol extract; the methanol extraction extract is extracted by ethyl acetate, and an obtained ethyl acetate extract is a stellera chamaejasme extract; wherein the material ratio of the overground part and root of stellera chamaejasme to methanol is 1: (2-5); the dosage ratio of the methanol extract to the ethyl acetate is 1: (2-6). Experiments prove that the stellera chamaejasme extract can significantly inhibit the biological activity of superbacteria, reduce the metabolic activity of biological membrane cells and inhibit the formation of biological membranes, a new direction is provided for research and development of drugs for resisting drug-resistant bacteria, the defects of existing antibiotics in the aspect of treating infection related to superbacterial biological membranes are overcome, and the preparation method is simple and low in cost.

The invention relates to a method for improving acid soil by using morchella sextelata, in particular to application of planting morchella sextelata in acid soil improvement, and belongs to the technical field of microorganisms. The strain is applied in the following manner: spreading mycelia in acidified soil, adsorbing and fixing soil ions through metabolic activity of the mycelia after soil covering, promoting formation of granular structures, enhancing salt leaching, selectively absorbing excessive cations, and increasing HCO concentration to neutralize H. After application, the pH value of soil is increased from 5.84-5.92 to 6.35-6.42, the conductivity is reduced by 31.13%, and the water-soluble total salt is recovered to the level of uncultivated soil. The strain provides an efficient biological solution for soil acidification treatment of a greenhouse vegetable base.

The invention discloses an aesthetic and plastic vulnerability detection method based on dynamic and static analysis, and relates to the technical field of medical cosmetology, and the method comprises the following steps: constructing a biological energy conversion model based on patient cell mitochondria, converting a steady state value into a gRNA sequence of light-operated CRISPR by encoding energy, delivering the gRNA sequence to a target tissue, and generating an anchoring site; on the basis of the anchoring points, a metabolic oscillation spectrum of a preoperative tissue area of the patient is collected in real time, a dynamic risk coefficient of operation energy equipment is calculated by adopting a quantum Monte Carlo algorithm, and a risk gradient instruction matrix is generated; according to the risk gradient instruction matrix, high-precision optical detection is carried out in combination with an anchoring point, metabolic activity indexes of an operation area are collected according to a dynamic regulation threshold value, and meanwhile, signal response characteristics of a biomarker are captured; according to the method, quantization migration analysis is carried out by utilizing metabolic activity indexes and a biological energy conversion model, and seamless mapping from a microscopic biological metabolic state to macroscopic equipment control is realized.

This application relates to the field of dairy food preparation technology, specifically to a room-temperature fermented milk and its preparation method. This application utilizes ultrasonic treatment on a composite system of milk base material and fermentation strains, and develops ultrasonic process parameters adapted to this composite system. This allows for the regulation of milk protein structure and the metabolic activity of fermentation strains, specifically inhibiting the generation of nitrogen oxides to reduce potential health risks. The ultrasonic treatment process of this application is short, easily controllable, and easily integrated with existing fermented milk production lines, possessing good potential for large-scale production. Furthermore, by ultrasonically treating the composite system of milk base material and fermentation strains under specific parameters, this application can also optimize the protein gel network structure to improve texture, while simultaneously increasing the content of sulfides, alcohols, aldehydes, ketones, and aromatic compounds, thus optimizing product flavor.

Disclosed in the present invention is use of an organometallic macrocyclic compound molecule in the catalytic enhancement of the level of intracellular oxidized coenzyme I and in an anti-aging product. The organometallic macrocyclic compound molecule of the present invention enters a cell and catalyzes the conversion of reduced coenzyme I within the cell into oxidized coenzyme I, thereby enhancing the metabolic activity of the cell and prolonging the lifespan of aging animals. The organometallic macrocyclic compound molecule is applied to oxidized coenzyme I supplements, anti-aging drugs, and health care products. By means of daily oral administration, the organometallic macrocyclic compound molecule can improve the metabolic activity of the aging population, thereby maintaining their physiological health and prolonging their lifespan.

The invention discloses a long-term storage and revival method for algae parasitic fungi, and relates to the technical field of storage of algae parasitic fungi. The preservation method of the algae parasitic fungi comprises the following steps: inoculating strains of the parasitic fungi into algae host cells, transferring after reaching a preset infection rate, subpackaging in a centrifugal tube container, standing for layering, and removing supernatant on the upper layer; and uniformly shaking the container containing the residual product, sealing, storing at 4 DEG C, and shaking the container every 6 months. The reviving method of the algae parasitic fungi comprises the following steps: taking out the container, uniformly shaking, sucking a sample, adding the sample into an algae culture, and culturing until the algae cell infection rate reaches 100%; and standing the culture system, and sucking the liquid in the middle layer in the container as a strain to complete the reactivation of the parasitic fungi. According to the method disclosed by the invention, the normal metabolic activity of the algae parasitic fungi can be effectively ensured within the storage period of 1-3 years; the revived bacteria can complete the complete infection of the algae host, and the infection efficiency is high.