47 results about "Microbial profiling" patented technology

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 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.

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 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.

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 application belongs to the technical field of pathogenic microorganism detection, and discloses a multi-target pathogenic microorganism analysis method based on third-generation targeted sequencing data, specifically: a multi-target correlation error correction reference sequence library is established, original sequencing data is quality controlled, then is compared to a pathogenic microorganism identification database to obtain a preliminary microorganism detection list, a pathogenic microorganism detection library is constructed based on the list and the error correction reference sequence library, and the quality controlled sequencing data is compared to the pathogenic microorganism detection library to obtain an accurate microorganism detection list. The method can effectively solve the accuracy problem of single-target identification, realize accurate detection of the species composition in the sample to be detected, and improve the accuracy and sensitivity of data analysis.

A concentration, extraction and identification system (CEIS) for microbiological analysis of a biological sample, includes: (1) a plurality of paramagnetic particles adapted to bind to a nucleic acid fraction of a targeted biological pathogen, (2) a microfluidic chip including a plurality of interconnected wells; and (3) a microfluidic chip reading instrument including a housing carrying (a) a microfluidic chip receiver adapted to hold the microfluidic chip and (b) a magnet and actuator adapted to displace the plurality of paramagnetic particles from a biological sample well through a first isolation buffer well, a wash well, and a second isolation buffer well to an elution well.

The present invention relates to the technical field of microbiological analysis, and discloses a single cell distributor, which comprises a platform, a three-axis motion mechanical arm arranged on the platform, and a control system arranged in the platform, the three-axis motion mechanical arm is arranged on one side of the platform, and the other side of the platform is provided with a mounting seat for placing a pore plate, one end or two ends of the mounting seat are provided with placing stations for placing liquid storage bottles, the three-axis movement mechanical arm is connected with a distribution assembly, the distribution pressure of the distribution assembly is less than or equal to 0.1 psi, the distribution assembly comprises a seat body, and the lower end of the seat body is provided with a sensor suction head and a spray head; a pressure sensor and a Coulter counter which are communicated with the sensor suction head and the spray head are arranged in the base body, and the pressure sensor, the Coulter counter and the three-axis movement mechanical arm are all electrically connected with the control system. According to the method, rapid, efficient and low-cost single cell high-throughput analysis and separation can be realized, meanwhile, the simplicity and convenience of operation and high survival rate of cells are ensured, and the data processing and analysis capability is expanded.

The invention provides a soil microorganism identification and analysis method and system based on a decision tree, and the method comprises the steps: determining a production reduction influence coefficient caused by wrong classification of pathogenic bacteria by the decision tree through obtaining the associated data of soil pathogenic bacteria in a soil sample and a microenvironment; according to the output reduction influence coefficient, combining with different misclassification types of pathogenic bacteria, constructing a cost sensitive matrix during soil pathogenic bacteria identification; determining a correlation coefficient between the soil microenvironment parameters and the abundance of pathogenic bacteria, and extracting a reference interval according to the correlation coefficient; determining information gains of all soil samples in different branches of a decision tree according to a reference interval, and generating an initial decision tree for soil pathogen identification according to the cost-sensitive matrix; determining the disease risk cost of each branch, determining a post-pruning strategy of the initial decision tree, and further generating a soil microorganism analysis report of the to-be-detected sample. By adopting the scheme of the invention, hierarchical optimization can be carried out on the decision tree to avoid the risk of missed judgment of high-hazard bacteria.

The invention relates to a method and device for processing at least one body fluid sample for pathogenic microorganism analysis. The method includes the steps of providing at least one body fluid sample, filtering the at least one body fluid sample through at least one catch filter which is configured for capturing at least a fraction of pathogenic microorganisms from the at least one body fluid sample if present in the body fluid sample, and applying at least one stress stimulus to at least part of the at least one catch filter, in particular to the fraction of pathogenic microorganisms, such that at least a fraction of the captured pathogenic microorganisms extracellularly secrete stress responsive biomolecules.

The invention provides a seawater intrusion identification method and system based on salt content and microbial abundance, and the system comprises a collection module which is used for collecting underground water samples and subpackaging the collected samples; a chemical analysis module is arranged and used for analyzing the TDS concentration of the sample; arranging a microbiological analysis module for analyzing the abundance of microbiological species of the sample; a recognition module is arranged, and the seawater invasion grade is obtained by analyzing the TDS concentration and the microorganism abundance of the sample. According to the seawater intrusion identification method and system based on the salt content and the microbial abundance, quantitative discrimination of the degree of seawater intrusion of underground water is realized, and the method and the system have the advantages of high identification precision, strong ecological response, strong visual expression ability, low cost and the like; the method is suitable for dynamic monitoring, scientific management and risk early warning of coastal zone underground water resources.

The present invention provides systems and methods for the detection of systemic disease from bacterial content samples obtained from a subject. Also provided are methods of training a machine learning algorithm to correlate patient microbiome sequence data with a disease state or disease development risk. These systems and methods utilize a high-resolution, database-independent, high-throughput microbial profiling platform to diagnose systemic disease in patients or to identify those patients at risk of developing systemic disease. Also provided are systems and kits for carrying out the methods.