60 results about "Microbial profiling" patented technology

The invention discloses a soil quality improvement and microbiological analysis integrated system, and relates to the technical field of soil improvement and microbiological analysis, the system comprises a microbial agent adding module, an organic acid adjusting module, a soil improvement effect monitoring module, a data analysis and processing module and a control and feedback module. According to the invention, high integration of soil improvement and microbiological analysis is realized, the efficiency and effect of soil improvement are improved through real-time monitoring and accurate regulation and control, and the microbial community is comprehensively and dynamically analyzed, so that deep understanding of a microbial action mechanism in the soil improvement process is facilitated, and the soil improvement efficiency and effect are improved. By monitoring succession of microbial community structures, expression changes of functional genes and diversity of carbon source utilization functions, the effects of microorganisms on straw degradation, soil structure improvement and the like are accurately grasped, problems are found in time through an early warning function, improvement measures are adjusted in time, and the stability and sustainability of a soil ecosystem can be effectively maintained.

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.

The embodiments disclose a method for testing organic plant materials, including detecting and associating machine-readable QR code identifiers at multiple testing locations within a facility, preparing samples at the multiple testing locations with microorganism-specific growth stimulator solutions to facilitate detection of contaminants, automatically detecting and analyzing environmental conditions at the multiple testing locations with a plurality of sensors, automatically correlating the captured images and the environmental conditions to the associated machine-readable QR code identifiers, analyzing and comparing the captured images and the environmental data against known harmful microorganisms, automatically generating contamination reports including detected infestations and remediation recommendations with mitigation actions and displaying the contamination reports and the recommendations and automatically generating and displaying a facility map on the graphical user interface with hotspot locations of the detected infestations of the contamination reports associated with the machine-readable QR code identifiers.

The embodiments disclose a method for testing organic plant materials, including detecting and associating machine-readable QR code identifiers at multiple testing locations within a facility, preparing samples at the multiple testing locations with microorganism-specific growth stimulator solutions to facilitate detection of contaminants, automatically detecting and analyzing environmental conditions at the multiple testing locations with a plurality of sensors, automatically correlating the captured images and the environmental conditions to the associated machine-readable QR code identifiers, analyzing and comparing the captured images and the environmental data against known harmful microorganisms, automatically generating contamination reports including detected infestations and remediation recommendations with mitigation actions and displaying the contamination reports and the recommendations and automatically generating and displaying a facility map on the graphical user interface with hotspot locations of the detected infestations of the contamination reports associated with the machine-readable QR code identifiers.

The invention discloses a method for evaluating heavy metal pollution risk in high geological background soil by using biological indexes, and belongs to the field of microbiology and environmental science. The method comprises the following steps: firstly, screening by adopting propionium bromide azide to obtain active microorganisms in soil, extracting DNA of the active microorganisms, carrying out gene high-throughput sequencing on the extracted DNA, screening obtained common microorganisms, and establishing a relationship between relative abundance of the common microorganisms and heavy metals; the heavy metal pollution risk of the soil can be judged according to the relative abundance of the microorganisms in the later period. The method provided by the invention not only improves the microbiological analysis accuracy of the heavy metal contaminated soil with the high geological background, but also provides a new method for heavy metal pollution risk assessment of the heavy metal contaminated soil.

The invention relates to the field of soil microbiological analysis, in particular to a soil microbiological analysis method based on digital twinning. Comprising the following steps: acquiring soil environment data and data of different microbial populations in soil in real time, inputting the soil environment data and the microbial population data into a soil microbial virtual model constructed by a digital twin technology, simulating an evolution process of a microbial community through a dynamic equation, and dynamically predicting the number of microbial populations; on the basis of the soil environment data and the predicted microbial population number, a microbial health index is calculated through a microbial health index calculation algorithm; and based on the microbial health index, selecting an optimal microbial management operation scheme through an adaptive evolution optimal operation selection model. The technical problem that an existing soil microorganism analysis method neglects the mutual relation between microorganism populations and possibly causes inaccurate prediction of the change trend of the microorganism populations is solved.

To detect a molecular included in a microorganism stably with good repeatability by mass spectroscopy.SOLUTION: A preparation method of a sample for microorganism analysis comprises preparing a sample solution with a concentration of a microorganism being higher than 1×106CFU / μL and less than 6×107CFU / μL, conducting centrifugal separation of the sample solution, and preparing a sample for mass spectroscopy using supernatant obtained by the centrifugal separation.SELECTED DRAWING: Figure 1

The invention relates to the technical field of soil microorganism analysis, in particular to a soil microorganism monitoring management system based on big data analysis, which comprises a soil data acquisition module used for acquiring soil environment information of a soil monitoring area in real time and also used for periodically acquiring microflora information in soil and soil ammonia nitrogen content; the soil environment analysis module is used for analyzing soil environment characteristics and soil environment types; the community information analysis module is used for analyzing microorganism diversity characteristics and community abundance types; the soil nutrient analysis module is used for analyzing the nutrient correlation characteristics; the soil comprehensive analysis module is used for analyzing the comprehensive characteristics of the soil; and the data type analysis module is used for judging the data type of the soil microorganisms according to the comprehensive characteristics of the soil and outputting the data type of the soil microorganisms to a user. According to the invention, accurate monitoring of soil microorganism data is realized.

The utility model discloses a sample collector for analyzing harmful microorganisms in vegetables, which comprises a bottom plate, a sample box fixedly mounted at the top of the bottom plate, a fixed block fixedly mounted on the left side of the sample box, a vertical shaft fixedly mounted at the top of the fixed block, a connecting block rotatably mounted on the vertical shaft, and a box cover fixedly mounted on the connecting block. A discharging hole is formed in the box cover, a switching mechanism is arranged in the sample box, six sample tubes are movably mounted on the switching mechanism, and the switching mechanism is used for controlling the six sample tubes to alternate. The vegetable perforating and sampling device is reasonable in design, local areas with microorganisms on vegetables can be perforated and cut through the perforating pipe, samples possibly clamped in the perforating pipe are cleaned through the material returning rod when the perforating pipe ascends, next time of perforating and sampling can be conveniently carried out, the sampling efficiency is improved, the disc frame can be controlled to rotate by 60 degrees every time, and the sampling efficiency is improved. Furthermore, the sample tube is replaced, so that the vegetable sample is conveniently received, and the sampling efficiency is further improved.

The present invention discloses a method for evaluating the change in volume resistivity of electric oil based on colloid and microbial analysis, which belongs to the technical field of the electric power industry. The method for evaluating the change in volume resistivity of electric oil based on colloid and microbial analysis comprises the following steps: (1) preparing colloid and microbial raw materials to form a test analysis base material; (2) adding a resistivity test electrode to the test analysis base material obtained in step (1), and evaluating the change in volume resistivity of electric oil by combining a resistivity control algorithm model and a resistivity optimization algorithm model. After testing, the solution designed by the present invention is used to evaluate the change in volume resistivity of electric oil. In Example 1, the error rate with the true value is 0.5%; in Example 2, the error rate with the true value is 0.3%; and in Example 3, the error rate with the true value is 0.2%. Reasonable resistivity control algorithm models and resistivity optimization algorithm models effectively improve the effectiveness of evaluating the change in volume resistivity of electric oil.

The present invention relates to an apparatus for providing a companion animal customized service on the basis of intestinal microbiome analysis. The apparatus for providing a companion animal customized service on the basis of intestinal microbiome analysis comprises: an analysis unit for deriving intestinal status information of the companion animal through intestinal microbiome analysis for the companion animal; and a service providing unit for providing a service customized for the companion animal on the basis of the intestinal state information.

The present application discloses a pathogenic microorganism analysis and identification system and its application. The system of the present application includes a data statistics module, a sample management module, an experiment management module, an information analysis module, a report management module, and a system management module; the information analysis module includes a sample analysis sub-module, which is used to implement data quality control steps, host removal steps, sequence classification steps, calculation of classification credibility index steps, and filtering of non-pathogenic bacteria steps; the credibility is screened according to the number of reads at the species level and genus level, the number of unique Kmers at the species level, the genome size of the corresponding species, the read coverage size, the number of windows containing reads, and the microbial genome reference genome by the number of reads. The present application realizes the automatic analysis of mNGS raw off-machine data through each module, obtains reliable classification results according to the credibility screening scheme, automatically reports the microorganism, and solves the dependence on professional technicians for the analysis of mNGS raw off-machine data.

The invention discloses a soil-borne disease detection method based on a soil microbial community, which comprises the following steps: selecting an area for measuring the detection of the soil microbial community, determining the size of the selected area, delimiting the selected area, observing the plant growth state of the selected area and the actual condition of soil, and performing preliminary judgment; the method comprises the following steps: formulating a soil sampling mode, calibrating an initial position of soil sampling in a selected area, sequentially sampling the soil from the initial position, independently storing the sampled soil by adopting sample boxes, marking the sample boxes, and sequentially detecting and analyzing the types and the quantity of microorganisms in the soil of each sample box. According to the soil-borne disease detection method for the soil microflora, diversified soil sampling modes are adopted, comprehensive and comprehensive sampling of soil is achieved, multi-angle analysis and judgment are conducted through observation, microbiological analysis and experimental detection, and the soil-borne diseases of the soil microflora are accurately detected.

The invention relates to the technical field of microbiological analysis, in particular to an intelligent visualization processing method and system for microbiological information detection and analysis results. According to the system, through the characteristics of comprehensive data acquisition, data preprocessing optimization, intelligent data analysis, dynamic threshold setting and adaptability and rapid anomaly recognition and processing, the change of a microbiological experiment environment can be monitored and coped with more comprehensively, flexibly and intelligently, and the controllability of an experiment and the reliability of a result are improved; by introducing an intelligent comparison module, a diversified alarm mechanism, automatic processing and recording, user-friendly alarm prompt and immediate and forced alarm, the system provides a more comprehensive, flexible and intelligent exception handling mechanism in microorganism information detection and analysis, and the experiment stability and the experiment experience of a user are improved.

The invention relates to the technical field of microbiological analysis, and discloses a microbiological analysis system based on image recognition, which is characterized in that microbiological analysis detection frequency and microbiological analysis type of each microbiological analysis detection demand port are determined by acquiring a microbiological analysis detection task, and a microbiological analysis image is called to recognize a device resource library. Determining equipment reservation information and an image recognition capability quantized value of each microbiological analysis image recognition equipment in each recognition period in a target time period, and optimizing and solving an allocation strategy of a microbiological analysis detection task for the microbiological analysis image recognition equipment by considering the influence of a plurality of factors; the overall efficiency of microbiological detection is improved, and the accuracy of microbiological pollution evaluation by using a microbiological detection result is ensured. Meanwhile, the distribution strategy of the microbiological analysis detection task for the microbiological analysis image recognition equipment is adjusted by evaluating the microbiological pollution risk condition in real time, and the environmental adaptability of the distribution strategy can be improved.

The invention relates to the technical field of microbiological analysis, and particularly discloses an edible vegetable oil raw material fungus database construction method which comprises the following steps: collecting edible vegetable oil raw material data of various edible vegetable oils, and determining a plurality of raw material appearance structure clustering sets of each edible vegetable oil, a fungus separation method of each raw material appearance structure cluster set is provided; raw material fungus data and multiple raw material sample strain data of each edible vegetable oil are determined, and a raw material strain set of all edible vegetable oil is determined; determining strain characteristic data and raw material storage risk data of each edible vegetable oil; determining a plurality of types of sample data of each raw material sample strain data of each edible vegetable oil; and constructing a raw material database of each edible vegetable oil. The efficiency and the pertinence of fungus separation can be effectively improved; the accuracy and application value of the database are ensured, and efficient data support is provided for related research and industrial application of edible vegetable oil raw material fungi.

The invention discloses a method for analyzing microbial diversity and organic acid difference of yellow water of different years, which comprises the following steps: S1, carrying out sample standardization treatment: taking a yellow water sample, adding a DNA (Deoxyribonucleic Acid) protective agent into one part of the sample as a microbial analysis sample, and storing at low temperature; the other part of the sample is filtered by an organic phase filter membrane to be used as an organic acid analysis sample and stored at low temperature; s2, microbial community analysis: performing DNA extraction, high-throughput sequencing and bioinformatics analysis on a microbial analysis sample to screen differential bacteria; s3, organic acid difference detection: acidifying the organic acid analysis sample, purifying the eluent by using an extraction column, and carrying out vacuum concentration and constant volume; analyzing and evaluating differences among groups, and screening different organic acids; and S4, multi-omics correlation verification: constructing an abundance-content matrix of the differential bacteria and the differential organic acids, calculating a Pearson correlation coefficient to determine significant correlation, annotating a metabolic pathway of the differential bacteria, and establishing a correlation model of the differential bacteria, the characteristic organic acids and the metabolic pathway.

The invention discloses a constructed wetland pollution reduction and carbon reduction synergistic effect analysis system and method, and relates to the technical field of water pollution control and greenhouse gas emission reduction. Comprising a simulated wetland reaction unit, a multi-parameter monitoring module, an operation regulation and control module, a microbiological analysis module and a synergistic effect evaluation module. The simulated wetland reaction unit is filled with a FeC composite matrix to realize subsurface flow constructed wetland environment simulation; the multi-parameter monitoring module acquires water quality and greenhouse gas emission data in real time; the operation regulation and control module realizes accurate regulation and control of water inlet parameters; the microbiological analysis module analyzes microflora and functional gene information; and the synergistic effect evaluation module integrates multi-module data to construct a correlation model, calculates a synergistic effect index and outputs an optimization parameter. Through five stages of matrix optimization, operation regulation and control, microbial mechanism revealing, collaborative evaluation optimization and feedback application, evaluation and optimization of the constructed wetland pollution reduction and carbon reduction collaborative efficiency are realized, and a scientific basis is provided for actual constructed wetland engineering design and operation.

The utility model discloses soil collection device convenient to microorganism analysis, include: fixed platform, the bottom of fixed platform is installed with fixed support leg, movable platform, movable platform sliding connection is in fixed platform, and the telescopic support leg is installed on movable platform, plane movement subassembly, plane movement subassembly includes fixed seat, X -axis movement subassembly and Y -axis movement subassembly, and X -axis movement subassembly and Y -axis movement subassembly are arranged in perpendicular state between fixed seat and fixed on movable platform top surface, and X -axis movement subassembly and Y -axis movement subassembly are transmission cooperation between fixed seat and fixed platform, are used for controlling movable platform and move on plane, multi -freedom degree mechanical arm, two groups are provided to multi -freedom degree mechanical arm, and two groups multi -freedom degree mechanical arm symmetrical installation are in movable platform bottom both sides, take out soil subassembly, take out soil subassembly includes power component and take out soil bucket, and take out soil bucket detachable connection is in power component's output end. The whole sampling process in the application, and mechanical operation reduces the damage to the original structure of soil.

A membrane for microbiological analysis, a production method of a membrane for microbiological analysis, and the use of such membranes for microbiological analysis. Examples include a cellulose membrane for microbiological analysis that is impregnated with a non-ionic surfactant in an amount of from 100 ng / cm2 to 1.0 mg / cm2, with the membrane having a nominal pore size of from 0.20 μm to 0.80 μm, and a cumulative adsorption pore volume of less than 0.010 cm3 / g.

The invention discloses a differential diagnosis and prognosis evaluation method for a pleural effusion microbiome based on metagenome sequencing and application, belongs to the technical field of bioinformatics, and discloses a method for analyzing the microbiome of a pleural effusion sample, and the method comprises the following steps: carrying out metagenome next-generation sequencing on an in-vitro pleural effusion sample to obtain a sequencing reading; performing bioinformatics analysis on the sequencing reading, and determining microorganism composition information of the pleural effusion sample based on a verification result; by establishing a unified mNGS experimental process and a parallel bioinformatics analysis path, two kinds of technical information of different dimensions, namely microbiome structural characteristics and host genome copy number variation (CNV), are synchronously output from single sequencing data, and the defect that microbiological analysis and genome analysis need to be carried out in batches in the prior art is overcome.

The present disclosure relates to the field of microbiological analysis using a miniaturized cellulose-based microbiological culture device and a method to produce the same. Particularly to a device designed to detect microorganisms in various samples using a specially configured cellulose substrate.

A grade of a specific microbial disease in a biological sample of a subject is determined. In one example, masked microbial reference genomes are used to determine the amount of free DNA molecules corresponding to a particular microbial species associated with a particular microbial disease. The masking may remove an area shared with another. In another example technique, end motifs are used for free DNA fragments from a subject and from a particular microbial species. A correlation between a subject and an amount of a set of terminal sequence motifs of a particular microbial species may be determined. The two groups of quantities of positive subjects are substantially more correlated than negative subjects.

The application provides a kind of microbial detection analysis device, it is related to the field of microbial detection analysis, comprising: container assembly, the container assembly includes medicament storage and piston mechanism, control component can be linked piston mechanism to realize the operation of liquid injection to the inside of culture dish, under the control of control component, the fixed injection amount of piston mechanism each time, can quickly prepare a large number of same samples for analysis and detection use, greatly improve the accuracy of microbial detection analysis result, at the same time, the amount of single injection of piston mechanism can also be regulated, can adapt to different microbial analysis and detection sample preparation operation etc., solve the problem that multiple samples are prepared in the existing microbial analysis and detection, corresponding liquid medicine needs to be injected into the inside of culture dish by liquid injector manually, liquid injector does not have the function of quantitative liquid injection, the amount of liquid medicine in the inside of culture dish is not the same, easy to interfere with the result of microbial detection analysis, the problem of poor accuracy.

This invention relates to a method for detecting pathogenic bacteria based on magnetic coding and a microfluidic separation system, belonging to the field of microbial analysis and detection technology. The core of the magnetic coding-based spatial separation system of this invention includes a single-channel microfluidic chip, a 3D-printed magnetic separation module, and a fluorescence-UV dual-mode detection light source and a fluorescence-UV dual-mode probe. The microfluidic device of this invention can precisely control the fluid dynamics and magnetic field gradient distribution within the channel, thereby efficiently manipulating and separating magnetic nanospheres, further enhancing the accuracy of multi-target analysis. Simultaneously, the directional enrichment of magnetically labeled particles within the microchannel can directly eliminate the lengthy sample concentration step, significantly shortening the total analysis time. Combined with optical or electrochemical sensors, it can achieve rapid real-time detection of target molecules.

The utility model discloses a water source detection sampling instrument for engineering geological investigation, and belongs to the technical field of water source detection sampling. A water source detection sampling instrument for engineering geological investigation comprises a fixing base, a fixing column, a winch, a sampling vessel and a water source filtering mechanism, and the fixing column is fixedly connected to the bottom of the fixing base; the winch is connected and fixedly arranged on the fixed seat; the sampling vessel is connected and fixedly arranged on the winch; by arranging the water source filtering mechanism, suspended solids or sediments in a water sample can be automatically removed, so that the water sample is purer, interference to subsequent analysis is reduced, and when heavy metal analysis, microbiological analysis or other detailed chemical analysis needs to be carried out, the water source filtering mechanism can be used for filtering the water sample. The filtering function can help to remove impurities in the water sample, so that the data accuracy is ensured, and the practicability of the device is improved.

A method for analyzing a microorganism including an identification step for determining which of abony and pakistan which are two serotypes of Salmonella bacteria is contained in a sample which contains either abony or pakistan, based on the presence or absence of a peak (or peaks) at a predetermined mass-to-charge ratio (or ratios) in a mass spectrum obtained by a mass spectrometric analysis of the sample, or a method for analyzing a microorganism including an identification step for determining which of minnesota, infantis and brandenburg which are three serotypes of Salmonella bacteria is contained in a sample which contains minnesota, infantis or brandenburg, based on the presence or absence of a peak (or peaks) at a predetermined mass-to-charge ratio (or ratios) in a mass spectrum obtained by a mass spectrometric analysis of the sample, or a method for analyzing a microorganism including an identification step for determining which of schwarzengrund and montevideo which are two serotypes of Salmonella bacteria is contained in a sample which contains either schwarzengrund or montevideo, based on the presence or absence of a peak (or peaks) at a predetermined mass-to-charge ratio (or ratios) in a mass spectrum obtained by a mass spectrometric analysis of the sample.

This invention belongs to the field of pathogen detection technology and discloses a method for pathogen analysis based on long-read sequencing data. Specifically, it includes: establishing an error-correcting reference sequence library; aligning the quality-controlled sequencing data to the error-correcting reference sequence library for correction; merging sequences with high similarity after correction; and then aligning them to a pathogen identification database to obtain a list of detected microorganisms. This invention effectively improves data analysis speed and reduces false positives from long-read sequencing data by correcting and merging sequencing data, achieving rapid and accurate detection of pathogens.

The present invention discloses a microbial enrichment liquid flow control system, belonging to the field of water area microbial analysis. The exhaust branch can discharge the air in the first liquid storage bag, the sampling branch can extract samples into the first liquid storage bag, the staining branch can extract staining liquid to stain the samples in the first liquid storage bag, the liquid supply branch is connected to the inlet of the microfluidic chip and pumps the stained samples in the first liquid storage bag to the microfluidic chip, the waste liquid discharge branch is communicated with the waste liquid port of the microfluidic chip to discharge the waste liquid of the microfluidic chip; the collector is communicated with the sorting outlet of the microfluidic chip and collects the microorganisms sorted by the microfluidic chip. The cleaning liquid assembly, the fifth pump and the collector form a cleaning branch to wash the microorganisms collected on the collector; the cleaning liquid assembly, the fifth pump and the collector can also form a transfer branch to transfer the microorganisms from the collector to the storage end outlet. The present application also relates to a microbial enrichment liquid flow control method implemented by using the above control system.

The present invention provides a method for tracing the source of samples based on flora structure, and belongs to the technical field of microbial analysis. The present invention obtains the flora structure of a large number of samples through 16S sequence amplification, metagenomics and big data, determines the flora map of a certain source by judging the Shannon index of the sample to be tested and the similarity of the flora structure, and traces the source of the sample based on the flora map. The sample tracing method of the present invention is efficient, accurate, fast, and easy to operate.